スマート倉庫市場 – 2030年までの世界予測

Smart Warehousing Market - Global Forecast To 2030

スマート倉庫市場 - 製品(AGV、AMR、AS/RS、AIDC、パレタイジングおよびデパレタイジングシステム、コンベアおよびソーター、TMS、WMS、注文管理)、テクノロジー(AI、IoT、ブロックチェーン、ビッグデータおよび分析、ロボティクスおよび自動化) - 2030年までの世界予測
Smart Warehousing Market by Offering (AGVs, AMRs, AS/RS, AIDC, Palletizing & Depalletizing Systems, Conveyors & Sorters, TMS, WMS, Order Management), Technology (AI, IoT, Blockchain, Big Data & Analytics, Robotics & Automation) - Global Forecast to 2030

商品番号 : SMB-7639

出版社MarketsandMarkets
出版年月2025年6月
ページ数338
図表数403
価格タイプシングルユーザライセンス
価格USD 4,950
種別英文調査報告書

本調査レポートでは、スマート倉庫市場を、提供内容(ハードウェア、ソフトウェア、サービス)、ハードウェア(ロボットシステム、保管ソリューション、自動識別およびデータ収集、コンベアおよびソーター)、ロボットシステム(AGV、AMR、ロボットピッキングシステム、パレタイジングおよびデパレタイジングシステム)、ソフトウェア(倉庫管理システム、輸送管理システム、注文管理ソフトウェア)、導入モード(クラウド、オンプレミス)、サービス(専門サービス、マネージドサービス)、専門サービス(トレーニングおよびコンサルティング、システム統合および実装、サポートおよびメンテナンス)、倉庫規模(小規模、中規模、大規模)、テクノロジー(ロボット工学および自動化、AI、IoT、ブロックチェーン、ビッグデータ分析)、垂直(運輸および物流、小売および電子商取引、製造、ヘルスケアおよびライフサイエンス、食品および飲料、その他の垂直)、運輸および物流(3PL、貨物運送業者、ラストマイル配送業者)、および地域(北米、ヨーロッパ、アジア太平洋、中東およびアフリカ、ラテンアメリカ)に基づいて分類しています。

本レポートは、スマートウェアハウス市場の成長に影響を与える主要な要因(促進要因、制約要因、課題、機会など)に関する詳細な情報を網羅しています。主要プレーヤーの詳細な分析により、事業概要、ソリューション、サービス、主要戦略、契約、パートナーシップ、合意、新製品・新サービスの発売、合併・買収、そしてスマートウェアハウス市場に関連する最近の動向に関する洞察を提供しています。また、本レポートは、スマートウェアハウス市場エコシステムにおける新興企業の競合分析も網羅しています。

The smart warehousing market is expanding rapidly, with a projected market size rising from USD 31.21 billion in 2025 to USD 46.42 billion by 2030, at a CAGR of 8.3% during the forecast period. The market is driven by the surge in e-commerce, advancements in IoT and automation, demand for contactless operations, need for efficient inventory management, and supportive government initiatives. However, high initial costs, legacy system integration issues, skilled labor shortages, data security concerns, and uncertain ROI restrain growth.

スマート倉庫市場は急速に拡大しており、市場規模は2025年の312億1,000万米ドルから2030年には464億2,000万米ドルに拡大すると予測されています。予測期間中の年平均成長率(CAGR)は8.3%です。市場を牽引しているのは、eコマースの急増、IoTと自動化の進歩、非接触型オペレーションの需要、効率的な在庫管理の必要性、そして政府の支援策です。しかしながら、初期コストの高さ、レガシーシステムとの統合問題、熟練労働者の不足、データセキュリティへの懸念、そして不確実なROI(投資収益率)といった要因が、成長を阻害しています。

スマート倉庫市場 - 2030年までの世界予測
smart-warehousing-market

“Autonomous mobile robots segment to account for the fastest growth rate during the forecast period”

Autonomous mobile robots  (AMRs) are expected to witness the fastest growth in the smart warehousing market due to their flexibility, scalability, and ability to operate in dynamic warehouse environments without fixed infrastructure. Unlike traditional automated systems, AMRs use advanced sensors and AI for real-time navigation, enabling seamless collaboration with human workers and quick adaptation to layout changes. Their deployment significantly reduces manual labor, improves picking and sorting efficiency, and enhances safety. As e-commerce and on-demand logistics expand, the need for high-speed, cost-effective, and easily deployable automation solutions will further accelerate AMR adoption across global warehouses.

“Warehouse management system segment to hold the largest market share during the forecast period”

Warehouse management system (WMS) software is expected to hold the largest market share in the smart warehousing market due to its central role in optimizing and orchestrating warehouse operations. WMS enables real-time inventory tracking, efficient order fulfillment, labor management, and integration with other digital tools such as robotics and IoT devices. As supply chains become more complex and customer expectations for speed and accuracy rise, businesses increasingly rely on WMS to enhance visibility, reduce operational costs, and improve decision-making. Its scalability and adaptability across industries make it a foundational technology in smart warehousing ecosystems.

スマート倉庫市場 - 2030年までの世界予測 region
smart-warehousing-market-region

“North America dominates with early adoption and infrastructure, while Asia Pacific leads with innovation and e-commerce boom”

North America is projected to hold the largest market share in the smart warehousing market due to its early adoption of advanced technologies, strong presence of leading logistics and e-commerce companies, and significant investments in automation and digital transformation. The region also benefits from a well-established infrastructure and a highly skilled workforce. Conversely, the Asia Pacific region is expected to witness the fastest growth rate, driven by rapid e-commerce expansion, rising demand for efficient supply chain operations, and increasing government initiatives supporting smart infrastructure. Emerging economies such as China and India are aggressively adopting smart warehousing to enhance competitiveness, reduce labor dependency, and meet growing consumer demands.

Breakdown of Primaries

In-depth interviews were conducted with chief executive officers (CEOs), innovation and technology directors, hardware providers, system integrators, and executives from various key organizations operating in the smart warehousing market.

  • By Company: Tier I – 38%, Tier II – 50%, and Tier III – 12%
  • By Designation: C-Level Executives – 35%, D-Level Executives – 40%, and others – 25%
  • By Region: North America – 40%, Europe – 30%, Asia Pacific – 20%, Middle East & Africa – 5%, and Latin America – 5%

The report includes key players offering smart warehousing. It profiles major vendors  such as Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (Greece), Softeon (US), Synergy Logistics (UK), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (Germany), Dematic (US), Honeywell (US), Swisslog (Switzerland), Daifuku (Japan), WareIQ (India), Foysonis (US), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 Orderhive (New Zealand), EasyEcom (India), Unicommerce (India), IAM Robotics (US), Logiwa (US), GreyOrange (India), RightHand Robotics (US), Magazino (Germany), Covariant (US), Attabotics (Canada), Geek+ (China), Nomagic (Poland), and Plus One Robotics (US).

スマート倉庫市場 - 2030年までの世界予測 ecosystem
smart-warehousing-market-ecosystem

Research Coverage

This research report categorizes the smart warehousing market based on offering (hardware, software, services), hardware (robotic systems, storage solutions, automatic identification & data collection, conveyors & sorters), robotic systems (AGVs, AMRs, robotic picking systems, palletizing & depalletizing systems), software (warehouse management systems, transport management systems, order management software), deployment mode (cloud, on-premise) services (professional services, managed services), professional services (training & consulting, system integration & implementation, support & maintenance), warehouse size (small, medium, large), technology (robotics & automation, AI, IoT, blockchain, big data analytics), vertical (transportation & logistics, retail & e-commerce, manufacturing, healthcare & life sciences, food & beverages, other verticals), transportation & logistics (3PL, freight forwarders, last-mile delivery providers), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).

The report’s scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the smart warehousing market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, and mergers and acquisitions; and recent developments associated with the smart warehousing market. This report also covers the competitive analysis of upcoming startups in the smart warehousing market ecosystem.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall smart warehousing market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (rising focus on green initiatives and sustainability to minimize waste, Proliferation of smartphones for faster and more efficient management of goods, emergence of multi-channel distribution networks, dynamic nature and globalization of supply chain networks), restraints (lack of uniform governance standards in the fragmented logistics industry, Data security and privacy concerns), opportunities (adoption of AR and VR technologies to streamline warehouse operations, rising focus on Warehouse 4.0 to reduce operating costs, advancements in self-driving vehicles and robotics), and challenges (lack of awareness among small-scale industries, high implementation and maintenance costs for SMEs).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the smart warehousing market.
  • Market Development: Comprehensive information about lucrative markets – the report analyses the smart warehousing market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the smart warehousing market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (Greece), Softeon (US), Synergy Logistics (UK), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (Germany), Dematic (US), Honeywell (US), Swisslog (Switzerland), Daifuku (Japan), WareIQ (India), Foysonis (US), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 Orderhive (New Zealand), EasyEcom (India), Unicommerce (India), IAM Robotics (US), Logiwa (US), GreyOrange (India), RightHand Robotics (US), Magazino (Germany), Covariant (US), Attabotics (Canada), Geek+ (China), Nomagic (Poland), and Plus One Robotics (US), among others. The report also helps stakeholders understand the smart warehousing market’s pulse and provides information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

1               INTRODUCTION              33

1.1           STUDY OBJECTIVES       33

1.2           MARKET DEFINITION   33

1.3           STUDY SCOPE   34

1.3.1        MARKET SEGMENTATION AND REGIONAL SCOPE                 34

1.3.2        INCLUSIONS AND EXCLUSIONS 35

1.4           YEARS CONSIDERED      35

1.5           CURRENCY CONSIDERED            36

1.6           STAKEHOLDERS               36

1.7           SUMMARY OF CHANGES               37

2               RESEARCH METHODOLOGY       38

2.1           RESEARCH DATA              38

2.1.1        SECONDARY DATA          39

2.1.2        PRIMARY DATA 39

2.1.2.1    Breakdown of primary profiles           40

2.1.2.2    Key insights from industry experts    41

2.2           MARKET SIZE ESTIMATION         41

2.2.1        TOP-DOWN APPROACH                42

2.2.2        BOTTOM-UP APPROACH              43

2.2.3        SMART WAREHOUSING MARKET ESTIMATION: DEMAND-SIDE ANALYSIS             44

2.3           DATA TRIANGULATION                46

2.4           RISK ASSESSMENT           47

2.5           RESEARCH ASSUMPTIONS           47

2.6           RESEARCH LIMITATIONS             48

3               EXECUTIVE SUMMARY  49

4               PREMIUM INSIGHTS       54

4.1           ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART WAREHOUSING MARKET              54

4.2           SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS              54

4.3           NORTH AMERICA: SMART WAREHOUSING MARKET,

BY OFFERING AND WAREHOUSE SIZE    55

4.4           SMART WAREHOUSING MARKET, BY REGION    55

5               MARKET OVERVIEW AND INDUSTRY TRENDS    56

5.1           INTRODUCTION              56

5.2           MARKET DYNAMICS       57

5.2.1        INTRODUCTION              57

5.2.2        DRIVERS               57

5.2.2.1    Rising focus on green initiatives and sustainability to minimize waste       57

5.2.2.2    Proliferation of smartphones for faster and efficient management of goods 58

5.2.2.3    Emergence of multi-channel distribution networks        58

5.2.2.4    Dynamic nature and globalization of supply chain networks                 59

5.2.2.5    Convergence of IoT and 5G to accelerate warehouse intelligence                 59

5.2.3        RESTRAINTS      59

5.2.3.1    Lack of uniform governance standards in fragmented logistics industry  59

5.2.3.2    Data security and privacy concerns   60

5.2.4        OPPORTUNITIES              60

5.2.4.1    Adoption of AR and VR technologies to streamline warehouse operations              60

5.2.4.2    Rising focus on Warehouse 4.0 to reduce operating costs                 60

5.2.4.3    Advancements in self-driving vehicles and robotics       61

5.2.5        CHALLENGES    61

5.2.5.1    Lack of awareness about smart warehousing systems among small-scale industries           61

5.2.5.2    High implementation and maintenance costs for SMEs 62

5.3           EVOLUTION OF SMART WAREHOUSING               62

5.4           SMART WAREHOUSING MARKET: ECOSYSTEM ANALYSIS            63

5.5           CASE STUDY ANALYSIS 66

5.5.1        COSTA LOGISTICS TRANSFORMS DISTRIBUTION EFFICIENCY WITH MANHATTAN ASSOCIATES’ WAREHOUSE MANAGEMENT SOLUTION          66

5.5.2        NAGEL GROUP OPTIMIZES WAREHOUSE OPERATIONS USING PSIWMS AND AI-SUPPORTED LOGISTICS SOFTWARE FROM PSI GROUP             66

5.5.3        ENDRIES INTERNATIONAL AND INFOR ACHIEVE 40% WAREHOUSE-PRODUCTIVITY BOOST WITH CLOUD-BASED INFOR WMS ON AWS      67

5.6           SUPPLY CHAIN ANALYSIS             68

5.7           REGULATORY LANDSCAPE         69

5.7.1        REGULATORY FRAMEWORKS     73

5.7.1.1    General Data Protection Regulation (GDPR) 73

5.7.1.2    Occupational Safety and Health Administration (OSHA)                 73

5.7.1.3    Federal Motor Carrier Safety Administration (FMCSA)                 73

5.8           PRICING ANALYSIS          73

5.8.1        AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025                 74

5.8.2        AVERAGE SELLING PRICE, BY SOFTWARE, 2025  75

5.9           TECHNOLOGY ANALYSIS             75

5.9.1        KEY TECHNOLOGIES     76

5.9.1.1    Voice recognition 76

5.9.1.2    Computer vision   76

5.9.1.3    Robotic process automation                76

5.9.1.4    Augmented Reality/Virtual Reality (AR/VR)  76

5.9.2        ADJACENT TECHNOLOGIES       77

5.9.2.1    Cybersecurity        77

5.9.2.2    Digital twins          77

5.9.2.3    3D printing            77

5.9.3        COMPLEMENTARY TECHNOLOGIES       78

5.9.3.1    Cloud & edge computing    78

5.9.3.2    5G networks & connectivity                78

5.9.3.3    Predictive maintenance       78

5.10         PATENT ANALYSIS          78

5.11         PORTER’S FIVE FORCES ANALYSIS           80

5.11.1      THREAT OF NEW ENTRANTS      81

5.11.2      THREAT OF SUBSTITUTES          82

5.11.3      BARGAINING POWER OF SUPPLIERS       82

5.11.4      BARGAINING POWER OF BUYERS             82

5.11.5      INTENSITY OF COMPETITIVE RIVALRY 82

5.12         KEY STAKEHOLDERS AND BUYING CRITERIA     83

5.12.1      KEY STAKEHOLDERS IN BUYING PROCESS           83

5.12.2      BUYING CRITERIA           83

5.13         TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS            85

5.14         KEY CONFERENCES AND EVENTS, 2025–2026        85

5.15         TRADE ANALYSIS             86

5.15.1      EXPORT SCENARIO         86

5.15.2      IMPORT SCENARIO         87

5.16         INVESTMENT AND FUNDING SCENARIO               88

5.17         IMPACT OF GENERATIVE AI ON SMART WAREHOUSING MARKET               89

5.17.1      TOP USE CASES AND MARKET POTENTIAL          89

5.17.1.1  Key use cases         90

5.17.2      BEST PRACTICES              91

5.17.2.1  Retail industry       91

5.17.2.2  Automotive industry            91

5.17.2.3  Pharmaceutical infrastructure            91

5.17.3      CASE STUDIES OF GENERATIVE AI IMPLEMENTATION                 92

5.17.3.1  Optimizing warehouse layouts for increased throughput                 92

5.17.3.2  Real-time task scheduling for autonomous vehicles        92

5.17.3.3  Custom packaging solutions via generative AI 92

5.17.4      CLIENT READINESS AND IMPACT ASSESSMENT 92

5.17.4.1  Client A: An e-commerce enterprise 92

5.17.4.2  Client B: Healthcare supply chain enterprise  92

5.17.4.3  Client C: A global manufacturing enterprise   93

5.18         IMPACT OF 2025 US TARIFF – SMART WAREHOUSING MARKET               93

5.18.1      INTRODUCTION              93

5.18.2      KEY TARIFF RATES          94

5.18.3      PRICE IMPACT ANALYSIS             94

5.18.3.1  Strategic shifts and emerging trends 94

5.18.4      IMPACT ON COUNTRY/REGION                95

5.18.4.1  US           95

5.18.4.1.1                Strategic Shifts and Key Observations              95

5.18.4.2  China      95

5.18.4.2.1                Strategic Shifts and Key Observations              96

5.18.4.3  Europe   96

5.18.4.3.1                Strategic Shifts and Key Observations              96

5.18.4.4  Asia Pacific            96

5.18.4.4.1                Strategic Shifts and Key Observations              96

5.18.5      IMPACT ON END-USE INDUSTRIES          96

5.18.5.1  Retail & eCommerce            96

5.18.5.2  Healthcare & Pharmaceuticals           97

5.18.5.3  3PL         97

5.18.5.4  Manufacturing      97

5.18.5.5  Food & Beverages 97

6               SMART WAREHOUSING MARKET, BY OFFERING                 98

6.1           INTRODUCTION              99

6.1.1        DRIVERS: SMART WAREHOUSING MARKET, BY OFFERING           99

6.2           AUTOMATED SYSTEMS 101

6.2.1        ROBOTICS SYSTEMS       103

6.2.1.1    Automated guided vehicles 104

6.2.1.1.1 Automating repetitive material transport, boosting efficiency and reducing labor dependency in warehouses       104

6.2.1.2    Automated mobile robots    105

6.2.1.2.1 Gaining prominence for flexible navigation in dynamic warehouse settings                105

6.2.1.3    Robotics picking systems    105

6.2.1.3.1 Critical for accelerating order fulfillment with improved accuracy and reduced human error    105

6.2.1.4    Palletizing & depalletizing systems   105

6.2.1.4.1 Essential for optimizing pallet handling, minimizing manual labor, and ensuring consistent load stability                105

6.2.2        AUTOMATED STORAGE & RETRIEVAL SYSTEMS                 105

6.2.3        AUTOMATED IDENTIFICATION AND DATA COLLECTION    106

6.2.4        CONVEYORS AND SORTERS        106

6.3           SOFTWARE         106

6.3.1        TRANSPORT MANAGEMENT SYSTEMS  108

6.3.1.1    Real-time visibility and tracking         109

6.3.1.1.1 Fundamental for supply chain transparency, enabling proactive inventory and shipment management                109

6.3.1.2    Route optimization & transportation management         109

6.3.1.2.1 Used to cut delivery times and transportation costs in complex logistics networks 109

6.3.1.3    Fleet management solutions               110

6.3.1.3.1 Maximizing vehicle utilization and improving overall transportation efficiency     110

6.3.1.4    Freight audits and payment solutions                110

6.3.1.4.1 Ensures accurate billing and reduces financial errors, saving significant operational costs                110

6.3.1.5    Load optimization                 110

6.3.1.5.1 Vital for maximizing transport capacity, reducing shipping expenses, and lowering carbon footprint          110

6.3.2        WAREHOUSE MANAGEMENT SYSTEMS 111

6.3.2.1    Inventory management        112

6.3.2.1.1 Critical for balancing stock levels and preventing costly overstocking or shortages    112

6.3.2.2    Yard management                 112

6.3.2.2.1 Increasingly important for smoothing inbound/outbound flows and reducing dock congestion            112

6.3.2.3    Shipping management         112

6.3.2.3.1 Accelerate dispatch processes and ensure timely deliveries                 112

6.3.2.4    Labor management               113

6.3.2.4.1 Optimize workforce productivity amid labor shortages 113

6.3.2.5    Vendor management            113

6.3.2.5.1 Ensures efficient coordination with suppliers, improving inbound supply reliability   113

6.3.2.6    Others    113

6.3.3        ORDER MANAGEMENT SOFTWARE         113

6.3.3.1    Chatbots & virtual assistants               114

6.3.3.1.1 Enhance customer engagement and operational responsiveness through AI-driven automation            114

6.3.3.2    Documents & record management    115

6.3.3.2.1 Crucial for regulatory compliance and seamless warehouse operations              115

6.3.3.3    Sales accounting processing                115

6.3.3.3.1 Improves financial accuracy and expedites transaction processing in warehouse operations      115

6.3.3.4    Others    115

7               SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE    116

7.1           INTRODUCTION              116

7.2           CLOUD 117

7.2.1        OFFERS SCALABLE, FLEXIBLE WAREHOUSE MANAGEMENT FOR BUSINESSES SEEKING COST-EFFECTIVE AND EASILY UPDATABLE SOLUTIONS   117

7.3           ON-PREMISES   118

7.3.1        PROVIDES FULL CONTROL AND CUSTOMIZATION OF WAREHOUSE OPERATIONS WITH ENHANCED SECURITY                 118

8               SMART WAREHOUSING SOFTWARE MARKET, SERVICES                 120

8.1           INTRODUCTION              120

8.2           PROFESSIONAL SERVICES            122

8.2.1        TRAINING & CONSULTING          124

8.2.1.1    Effectively adopt and scale automation and AI-driven software technologies           124

8.2.2        SYSTEM INTEGRATION & IMPLEMENTATION    125

8.2.2.1    Seamless connectivity across robotics, WMS, and IoT platforms for end-to-end smart warehouse operations    125

8.2.3        SUPPORT & MAINTENANCE        126

8.2.3.1    Optimize performance and extend life of smart warehousing systems and infrastructure  126

8.3           MANAGED SERVICES      127

9               SMART WAREHOUSING MARKET, BY TECHNOLOGY                 128

9.1           INTRODUCTION              129

9.1.1        DRIVERS: SMART WAREHOUSING MARKET, BY TECHNOLOGY  129

9.2           IOT         130

9.2.1        ENABLING REAL-TIME TRACKING, PREDICTIVE MAINTENANCE, AND SMART INVENTORY SYSTEMS THROUGH CONNECTED DEVICES  130

9.3           ROBOTICS AND AUTOMATION 131

9.3.1        WITNESSING ACCELERATED ADOPTION AS WAREHOUSES STRIVE FOR HIGHER THROUGHPUT AND REDUCED ERRORS          131

9.4           AI            132

9.4.1        GAINING MOMENTUM IN SMART WAREHOUSING BY DRIVING AUTONOMOUS DECISIONS     132

9.5           BLOCKCHAIN    133

9.5.1        ENHANCING DATA INTEGRITY AND TRACEABILITY IN WAREHOUSE TRANSACTIONS AND MULTI-PARTY LOGISTICS ENVIRONMENTS              133

9.6           BIG DATA & ANALYTICS                134

9.6.1        ESSENTIAL FOR DEMAND FORECASTING AND RESOURCE OPTIMIZATION ACROSS COMPLEX WAREHOUSE OPERATIONS     134

10            SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE                 136

10.1         INTRODUCTION              137

10.1.1      DRIVERS: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE            137

10.2         SMALL  138

10.2.1      GROWING DEMAND FOR COST-EFFECTIVE, FLEXIBLE SOLUTIONS TO DRIVE ADOPTION OF SCALABLE SMART TECHNOLOGIES IN LIMITED SPACES     138

10.3         MEDIUM              139

10.3.1      INCREASING ORDER VOLUMES AND OPERATIONAL COMPLEXITY TO FUEL INTEGRATION OF AUTOMATION AND IOT FOR ENHANCED EFFICIENCY            139

10.4         LARGE  140

10.4.1      NEED TO MANAGE VAST INVENTORIES AND OPTIMIZE COMPLEX SUPPLY CHAINS TO DRIVE INVESTMENT IN ADVANCED AUTOMATION AND AI SYSTEMS      140

11            SMART WAREHOUSING MARKET, BY VERTICAL 142

11.1         INTRODUCTION              143

11.1.1      DRIVERS: SMART WAREHOUSING MARKET, BY VERTICAL            143

11.2         TRANSPORTATION AND LOGISTICS       145

11.2.1      THIRD-PARTY LOGISTICS            147

11.2.1.1  Empowering 3PL providers to offer faster, scalable, and value-added logistics services through automation and real-time visibility                 147

11.2.2      FREIGHT FORWARDERS                147

11.2.2.1  Leveraging intelligent warehousing to streamline global cargo handling and reduce transit delays    147

11.2.3      LAST-MILE DELIVERY PROVIDERS           148

11.2.3.1  Enabling last-mile delivery firms to meet rapid fulfillment demands through micro-fulfillment and real-time inventory updates                 148

11.3         MANUFACTURING          148

11.4         HEALTHCARE AND LIFE SCIENCES          149

11.5         FOOD AND BEVERAGES                150

11.6         RETAIL AND E-COMMERCE         151

11.7         OTHER VERTICALS         152

12            SMART WAREHOUSING MARKET, BY REGION    154

12.1         INTRODUCTION              155

12.2         NORTH AMERICA             157

12.2.1      NORTH AMERICA: SMART WAREHOUSING MARKET DRIVERS               157

12.2.2      NORTH AMERICA: MACROECONOMIC OUTLOOK                 158

12.2.3      US           166

12.2.3.1  Need for faster and more efficient supply chain operations to drive market          166

12.2.4      CANADA               167

12.2.4.1  E-commerce growth and digital innovation to propel warehousing expansion        167

12.3         EUROPE               168

12.3.1      EUROPE: SMART WAREHOUSING MARKET DRIVERS                 168

12.3.2      EUROPE: MACROECONOMIC OUTLOOK               169

12.3.3      UK          176

12.3.3.1  Increasing need for efficient order fulfillment solutions to drive market    176

12.3.4      GERMANY           177

12.3.4.1  Rising focus on automation in manufacturing and logistics to fuel market    177

12.3.5      FRANCE                178

12.3.5.1  Growth in logistics and retail sectors to boost demand  178

12.3.6      ITALY    179

12.3.6.1  Leveraging strategic location to enhance logistics efficiency and technology adoption             179

12.3.7      SPAIN    180

12.3.7.1  Capitalizing on strategic location to become a logistics and tech innovation hub      180

12.3.8      REST OF EUROPE             181

12.4         ASIA PACIFIC     182

12.4.1      ASIA PACIFIC: SMART WAREHOUSING MARKET DRIVERS               183

12.4.2      ASIA PACIFIC: MACROECONOMIC OUTLOOK     183

12.4.3      CHINA  192

12.4.3.1  E-Commerce expansion to drive demand for automated and efficient warehousing           192

12.4.4      JAPAN   193

12.4.4.1  Growing e-commerce industry to boost adoption of smart warehousing solutions         193

12.4.5      INDIA    194

12.4.5.1  Rapid e-commerce growth in Tier 2 and Tier 3 cities to drive market    194

12.4.6      SOUTH KOREA  195

12.4.6.1  Accelerating smart warehousing through advanced automation and government-backed innovation to drive market      195

12.4.7      AUSTRALIA & NEW ZEALAND     196

12.4.7.1  Commitment to sustainability to encourage adoption of eco-friendly warehousing solutions           196

12.4.8      ASEAN  197

12.4.8.1  Driving smart warehousing growth through rapid e-commerce expansion and urbanization                 197

12.4.9      REST OF ASIA PACIFIC   198

12.5         MIDDLE EAST & AFRICA                200

12.5.1      MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET DRIVERS            200

12.5.2      MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK                 200

12.5.3      MIDDLE EAST   207

12.5.3.1  Saudi Arabia          208

12.5.3.1.1                Launching advanced robotics to boost efficiency in smart warehousing                208

12.5.3.2  UAE        209

12.5.3.2.1                Implementing 5G and AGVs to transform warehouse operations              209

12.5.3.3  Qatar      210

12.5.3.3.1                Digitizing warehouse Access through national warehousing marketplace platform to drive market        210

12.5.3.4  Turkey    211

12.5.3.4.1                Expanding licensed warehousing to boost agricultural efficiency and food security                 211

12.5.3.5  Rest of Middle East              212

12.5.4      AFRICA 213

12.6         LATIN AMERICA                214

12.6.1      LATIN AMERICA: SMART WAREHOUSING MARKET DRIVERS               215

12.6.2      LATIN AMERICA: MACROECONOMIC OUTLOOK                 215

12.6.3      BRAZIL 223

12.6.3.1  Harnessing AI and Blockchain to revolutionize smart warehousing efficiency        223

12.6.4      MEXICO                224

12.6.4.1  Expansion of e-commerce accelerates demand for automated and efficient warehouse solutions              224

12.6.5      ARGENTINA       225

12.6.5.1  Accelerating digital transformation and automation to boost warehousing efficiency        225

12.6.6      REST OF LATIN AMERICA             226

13            COMPETITIVE LANDSCAPE         228

13.1         OVERVIEW          228

13.2         KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025                 228

13.3         REVENUE ANALYSIS, 2020–2024  230

13.4         MARKET SHARE ANALYSIS, 2024                 231

13.5         BRAND/PRODUCT COMPARATIVE ANALYSIS     234

13.5.1      PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS            234

13.5.1.1  Manhattan Associates (Manhattan Active WM)             234

13.5.1.2  Oracle (Oracle Warehouse Management Cloud)            234

13.5.1.3  SAP (SAP Extended Warehouse Management – SAP EWM)                 235

13.5.1.4  Infor (Infor WMS)                235

13.5.1.5  IBM (IBM Sterling Supply Chain Suite)          235

13.5.2      BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS          236

13.5.2.1  Körber    236

13.5.2.2  ABB        236

13.5.2.3  SSI Schäefer           237

13.5.2.4  Dematic 237

13.5.2.5  Honeywell              237

13.6         COMPANY VALUATION AND FINANCIAL METRICS                 237

13.7         COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024                 238

13.7.1      STARS   238

13.7.2      EMERGING LEADERS     238

13.7.3      PERVASIVE PLAYERS      239

13.7.4      PARTICIPANTS 239

13.7.5      COMPANY FOOTPRINT: KEY PLAYERS, 2024         240

13.7.5.1  Company footprint               240

13.7.5.2  Region footprint   241

13.7.5.2.1                Offering footprint 242

13.7.5.2.2                Technology footprint           243

13.7.5.2.3                Vertical footprint  244

13.8         COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024        245

13.8.1      PROGRESSIVE COMPANIES         245

13.8.2      RESPONSIVE COMPANIES            245

13.8.3      DYNAMIC COMPANIES  245

13.8.4      STARTING BLOCKS         245

13.8.5      COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024                 247

13.8.5.1  Detailed list of key startups/SMEs    247

13.8.5.2  Competitive benchmarking of key startups/SMEs          249

13.9         COMPETITIVE SCENARIO             250

13.9.1      PRODUCT LAUNCHES AND ENHANCEMENTS    250

13.9.2      DEALS  251

14            COMPANY PROFILES      256

14.1         INTRODUCTION              256

14.2         KEY PLAYERS     256

14.2.1      MANHATTAN ASSOCIATES          256

14.2.1.1  Business overview 256

14.2.1.2  Products/Solutions/Services offered 257

14.2.1.3  Recent developments           258

14.2.1.4  MnM view              259

14.2.1.4.1                Key strengths/Right to win 259

14.2.1.4.2                Strategic choices   259

14.2.1.4.3                Weaknesses and competitive threats 259

14.2.2      KÖRBER                260

14.2.2.1  Business overview 260

14.2.2.2  Products/Solutions/Services offered 260

14.2.2.3  Recent developments           261

14.2.2.4  MnM view              262

14.2.2.4.1                Key strengths/Right to win 262

14.2.2.4.2                Strategic choices   262

14.2.2.4.3                Weaknesses and competitive threats 262

14.2.3      ORACLE                263

14.2.3.1  Business overview 263

14.2.3.2  Products/Solutions/Services offered 264

14.2.3.3  Recent developments           265

14.2.3.4  MnM view              265

14.2.3.4.1                Key strengths/Right to win 265

14.2.3.4.2                Strategic choices   265

14.2.3.4.3                Weaknesses and competitive threats 265

14.2.4      SAP         266

14.2.4.1  Business overview 266

14.2.4.2  Products/Solutions/Services offered 267

14.2.4.3  Recent developments           268

14.2.4.4  MnM view              269

14.2.4.4.1                Key strengths/Right to win 269

14.2.4.4.2                Strategic choices   269

14.2.4.4.3                Weaknesses and competitive threats 269

14.2.5      DEMATIC (KION GROUP)             270

14.2.5.1  Business overview 270

14.2.5.2  Products/Solutions/Services offered 271

14.2.5.3  Recent developments           271

14.2.5.4  MnM view              271

14.2.5.4.1                Key strengths/Right to win 271

14.2.5.4.2                Strategic choices   272

14.2.5.4.3                Weaknesses and competitive threats 272

14.2.6      PSI GROUP          273

14.2.6.1  Business overview 273

14.2.6.2  Products/Solutions/Services offered 274

14.2.6.3  Recent developments           275

14.2.7      SAMSUNG SDS  276

14.2.7.1  Business overview 276

14.2.7.2  Products/Solutions/Services offered 277

14.2.7.3  Recent developments           278

14.2.8      REPLY   279

14.2.8.1  Business overview 279

14.2.8.2  Products/Solutions/Services offered 280

14.2.8.3  Recent developments           281

14.2.9      INFOR   282

14.2.9.1  Business overview 282

14.2.9.2  Products/Solutions/Services offered 282

14.2.9.3  Recent developments           283

14.2.10   IBM        284

14.2.10.1                 Business overview 284

14.2.10.2                 Products/Solutions/Services offered 285

14.2.10.3                 Recent developments           286

14.2.11   BLUE YONDER  287

14.2.11.1                 Business overview 287

14.2.11.2                 Products/Solutions/Services offered 287

14.2.11.3                 Recent developments           288

14.2.12   TECSYS 289

14.2.13   GENERIX GROUP              290

14.2.14   MICROLISTICS  290

14.2.15   ABB        291

14.2.16   MICROSOFT       291

14.2.17   EPICOR 292

14.2.18   MADE4NET         292

14.2.19   MANTIS                293

14.2.20   SOFTEON            293

14.2.21   SYNERGY LOGISTICS     294

14.2.22   E2OPEN                294

14.2.23   VINCULUM         295

14.2.24   MECALUX            295

14.2.25   SSI SCHAEFER    296

14.2.26   HONEYWELL     296

14.2.27   SWISSLOG (KUKA)           297

14.2.28   DAIFUKU             297

14.3         OTHER KEY PLAYERS     298

14.3.1      WAREIQ                298

14.3.2      FOYSONIS           298

14.3.3      INCREFF               299

14.3.4      LOCUS ROBOTICS           300

14.3.5      SHIPHERO           301

14.3.6      CIN7 ORDERHIVE             301

14.3.7      EASYECOM         302

14.3.8      UNICOMMERCE                303

14.3.9      ONWARD ROBOTICS      304

14.3.10   LOGIWA               305

14.3.11   GREYORANGE   306

14.3.12   RIGHTHAND ROBOTICS               307

14.3.13   MAGAZINO         308

14.3.14   COVARIANT       309

14.3.15   ATTABOTICS     310

14.3.16   GEEK+  311

14.3.17   NOMAGIC            312

14.3.18   PLUS ONE ROBOTICS    313

15            ADJACENT AND RELATED MARKETS      314

15.1         INTRODUCTION              314

15.2         LOGISTICS AUTOMATION MARKET – GLOBAL FORECAST TO 2029          314

15.2.1      MARKET DEFINITION   314

15.2.2      MARKET OVERVIEW       314

15.2.2.1  Logistics automation market, by offering         314

15.2.2.2  Logistics automation market, software by deployment mode                 315

15.2.2.3  Logistics automation market, by logistics type                 316

15.2.2.4  Logistics automation market, by technology    317

15.2.2.5  Logistics automation market, by end user        318

15.2.2.6  Logistics automation market, by region            319

15.3         SUPPLY CHAIN ANALYTICS MARKET – GLOBAL FORECAST TO 2027          321

15.3.1      MARKET DEFINITION   321

15.3.2      MARKET OVERVIEW       321

15.3.2.1  Supply chain analytics market, by offering       321

15.3.2.2  Supply chain analytics market, by technology  322

15.3.2.3  Supply chain analytics market, by deployment mode     323

15.3.2.4  Supply chain analytics market, by organization size       323

15.3.2.5  Supply chain analytics market, by business function      324

15.3.2.6  Supply chain analytics market, by vertical        325

15.3.2.7  Supply chain analytics market, by region          326

16            APPENDIX           328

16.1         DISCUSSION GUIDE        328

16.2         KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL                334

16.3         AVAILABLE CUSTOMIZATIONS 336

16.4         RELATED REPORTS         336

16.5         AUTHOR DETAILS           337

LIST OF TABLES

TABLE 1                USD EXCHANGE RATES, 2020–2024            36

TABLE 2                LIST OF PRIMARY PARTICIPANTS             40

TABLE 3                GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE,

2020–2024 (USD MILLION, Y-O-Y %)          50

TABLE 4                GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE,

2025–2030 (USD MILLION, Y-O-Y %)          51

TABLE 5                SMART WAREHOUSING MARKET: ROLE OF PLAYERS IN ECOSYSTEM              63

TABLE 6                NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS             69

TABLE 7                EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS                 71

TABLE 8                ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS                 72

TABLE 9                MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS             72

TABLE 10             LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS                 73

TABLE 11              AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025      74

TABLE 12              AVERAGE SELLING PRICE, BY SOFTWARE, 2025                 75

TABLE 13              LIST OF KEY PATENTS   79

TABLE 14              PORTER FIVE FORCES’ IMPACT ON SMART WAREHOUSING MARKET              80

TABLE 15              INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS   83

TABLE 16              KEY BUYING CRITERIA FOR TOP THREE VERTICALS         84

TABLE 17              SMART WAREHOUSING MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2025–2026       85

TABLE 18              EXPORT DATA FOR HS CODE 8428, BY KEY COUNTRY, 2017-2024       87

TABLE 19              IMPORT DATA FOR HS CODE 8428, BY KEY COUNTRY, 2017-2024       88

TABLE 20              TABLE 1: US ADJUSTED RECIPROCAL TARIFF RATES   94

TABLE 21              SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)            100

TABLE 22              SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)            100

TABLE 23              AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE,

2020–2024 (USD MILLION)          102

TABLE 24              AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE,

2025–2030 (USD MILLION)            102

TABLE 25              AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            102

TABLE 26              AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            103

TABLE 27              ROBOTICS SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE,

2020–2024 (USD MILLION)            104

TABLE 28              ROBOTICS SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE,

2025–2030 (USD MILLION)            104

TABLE 29              SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE,

2020–2024 (USD MILLION)            107

TABLE 30              SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE,

2025–2030 (USD MILLION)            107

TABLE 31              TMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          108

TABLE 32              TMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          109

TABLE 33              WMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          111

TABLE 34              WMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          111

TABLE 35              OMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          114

TABLE 36              OMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          114

TABLE 37              SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE,

2020–2024 (USD MILLION)            117

TABLE 38              SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE,

2025–2030 (USD MILLION)            117

TABLE 39              CLOUD: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          118

TABLE 40              CLOUD: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          118

TABLE 41             ON-PREMISES: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            119

TABLE 42             ON-PREMISES: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            119

TABLE 43              SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION)                121

TABLE 44              SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION)                121

TABLE 45              SERVICES: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            121

TABLE 46              SERVICES: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            121

TABLE 47              PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE,

2020–2024 (USD MILLION)            122

TABLE 48              PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE,

2025–2030 (USD MILLION)            123

TABLE 49              PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            123

TABLE 50              PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            123

TABLE 51              TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)                 124

TABLE 52              TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)                 124

TABLE 53              SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)       125

TABLE 54              SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)       125

TABLE 55              SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET,

BY REGION, 2020–2024 (USD MILLION) 126

TABLE 56              SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET,

BY REGION, 2025–2030 (USD MILLION)   126

TABLE 57              MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            127

TABLE 58              MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            127

TABLE 59              SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)            130

TABLE 60              SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)            130

TABLE 61              IOT: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          131

TABLE 62              IOT: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          131

TABLE 63              ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)                 132

TABLE 64              ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)                 132

TABLE 65              AI TECHNOLOGY: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            133

TABLE 66              AI TECHNOLOGY: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            133

TABLE 67              BLOCKCHAIN: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)          134

TABLE 68              BLOCKCHAIN: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            134

TABLE 69              BIG DATA & ANALYTICS: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            135

TABLE 70              BIG DATA & ANALYTICS: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            135

TABLE 71              SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2020–2024 (USD MILLION)            137

TABLE 72              SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2025–2030 (USD MILLION)            138

TABLE 73              SMALL: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          138

TABLE 74              SMALL: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          139

TABLE 75              MEDIUM: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          139

TABLE 76              MEDIUM: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            140

TABLE 77              LARGE: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)          140

TABLE 78              LARGE: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)          141

TABLE 79              SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)            144

TABLE 80              SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)            145

TABLE 81              SMART WAREHOUSING MARKET, BY TRANSPORTATION & LOGISTICS,

2020–2024 (USD MILLION)            146

TABLE 82              SMART WAREHOUSING MARKET, BY TRANSPORTATION & LOGISTICS,

2025–2030 (USD MILLION)            146

TABLE 83              TRANSPORTATION & LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)                 146

TABLE 84              TRANSPORTATION & LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)                 147

TABLE 85              MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            148

TABLE 86              MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            149

TABLE 87              HEALTHCARE & LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)                 149

TABLE 88              HEALTHCARE & LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)                 150

TABLE 89              FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            150

TABLE 90              FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            151

TABLE 91              RETAIL & E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            151

TABLE 92              RETAIL & E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            152

TABLE 93              OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION,

2020–2024 (USD MILLION)            152

TABLE 94              OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION,

2025–2030 (USD MILLION)            153

TABLE 95              SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)            156

TABLE 96              SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)            156

TABLE 97              NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            159

TABLE 98              NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            159

TABLE 99              NORTH AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)                 159

TABLE 100            NORTH AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)                 160

TABLE 101            NORTH AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS,

2020–2024 USD MILLION)              160

TABLE 102            NORTH AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS,

2025–2030 (USD MILLION)            160

TABLE 103            NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE,

2020–2024 (USD MILLION)            161

TABLE 104            NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE,

2025–2030 (USD MILLION)            161

TABLE 105            NORTH AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)                 161

TABLE 106            NORTH AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)                 161

TABLE 107            NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION)            162

TABLE 108            NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION)            162

TABLE 109            NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)            162

TABLE 110            NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)            162

TABLE 111            NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2020–2024 (USD MILLION)            163

TABLE 112            NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2025–2030 (USD MILLION)            163

TABLE 113            NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 163

TABLE 114            NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 164

TABLE 115            NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)           164

TABLE 116            NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)           164

TABLE 117            NORTH AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 165

TABLE 118            NORTH AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 165

TABLE 119            NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)           165

TABLE 120            NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)           165

TABLE 121            US: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)     166

TABLE 122            US: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)     166

TABLE 123            CANADA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)          167

TABLE 124            CANADA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            167

TABLE 125            EUROPE: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            169

TABLE 126            EUROPE: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            169

TABLE 127            EUROPE: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)           170

TABLE 128            EUROPE: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)           170

TABLE 129            EUROPE: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)    170

TABLE 130            EUROPE: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION)   171

TABLE 131            EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE,

2020–2024 (USD MILLION)            171

TABLE 132            EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE,

2025–2030 (USD MILLION)            171

TABLE 133            EUROPE: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)               171

TABLE 134            EUROPE: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)               172

TABLE 135            EUROPE: SMART WAREHOUSING MARKET, BY SERVICES,

2020–2024 (USD MILLION)            172

TABLE 136            EUROPE: SMART WAREHOUSING MARKET, BY SERVICES,

2025–2030 (USD MILLION)            172

TABLE 137            EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES,

2020–2024 (USD MILLION)            172

TABLE 138            EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES,

2025–2030 (USD MILLION)            173

TABLE 139            EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)     173

TABLE 140            EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)     173

TABLE 141            EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY,

2020–2024 (USD MILLION)            173

TABLE 142            EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY,

2025–2030 (USD MILLION)            174

TABLE 143            EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL,

2020–2024 (USD MILLION)            174

TABLE 144            EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL,

2025–2030 (USD MILLION)            174

TABLE 145            EUROPE: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)                 175

TABLE 146            EUROPE: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)                 175

TABLE 147            EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY,

2020–2024 (USD MILLION)            175

TABLE 148            EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY,

2025–2030 (USD MILLION)            176

TABLE 149            UK: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)     176

TABLE 150            UK: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)     177

TABLE 151            GERMANY: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            177

TABLE 152            GERMANY: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            178

TABLE 153            FRANCE: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            178

TABLE 154            FRANCE: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            179

TABLE 155            ITALY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)     179

TABLE 156            ITALY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)     180

TABLE 157            SPAIN: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            180

TABLE 158            SPAIN: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            181

TABLE 159            REST OF EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)          182

TABLE 160            REST OF EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)          182

TABLE 161            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            184

TABLE 162            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            185

TABLE 163            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS,

2020–2024 (USD MILLION)            185

TABLE 164            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS,

2025–2030 (USD MILLION)            185

TABLE 165            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS,

2020–2024 USD MILLION)              186

TABLE 166            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS,

2025–2030 (USD MILLION)            186

TABLE 167            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE,

2020–2024 (USD MILLION)            186

TABLE 168            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE,

2025–2030 (USD MILLION)            187

TABLE 169            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE,

2020–2024 (USD MILLION)            187

TABLE 170            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE,

2025–2030 (USD MILLION)            187

TABLE 171            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICES,

2020–2024 (USD MILLION)            187

TABLE 172            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICES,

2025–2030 (USD MILLION)            188

TABLE 173            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)                 188

TABLE 174            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)                 188

TABLE 175            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2020–2024 (USD MILLION)            188

TABLE 176            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)               189

TABLE 177            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)     189

TABLE 178            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)     189

TABLE 179            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL,

2020–2024 (USD MILLION)            190

TABLE 180            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL,

2025–2030 (USD MILLION)            190

TABLE 181            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)            190

TABLE 182            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)            191

TABLE 183            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY,

2020–2024 (USD MILLION)            191

TABLE 184            ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY,

2025–2030 (USD MILLION)            191

TABLE 185            CHINA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            192

TABLE 186            CHINA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            192

TABLE 187            JAPAN: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            193

TABLE 188            JAPAN: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            193

TABLE 189            INDIA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)     194

TABLE 190            INDIA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)     194

TABLE 191            SOUTH KOREA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            195

TABLE 192            SOUTH KOREA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            195

TABLE 193            AUSTRALIA & NEW ZEALAND: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)            196

TABLE 194            AUSTRALIA & NEW ZEALAND: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)            196

TABLE 195            ASEAN: SMART WAREHOUSING MARKET, BY COUNTRY,

2020–2024 (USD MILLION)            197

TABLE 196            ASEAN: SMART WAREHOUSING MARKET, BY COUNTRY,

2025–2030 (USD MILLION)            198

TABLE 197            ASEAN: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            198

TABLE 198            ASEAN: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            198

TABLE 199            REST OF ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            199

TABLE 200            REST OF ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            199

TABLE 201            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            201

TABLE 202            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            201

TABLE 203            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION) 201

TABLE 204            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION) 202

TABLE 205            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)            202

TABLE 206            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION) 202

TABLE 207            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE,

2020–2024 (USD MILLION)            203

TABLE 208            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE,

2025–2030 (USD MILLION)            203

TABLE 209            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 203

TABLE 210            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 203

TABLE 211            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES,

2020–2024 (USD MILLION)            204

TABLE 212            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES,

2025–2030 (USD MILLION)            204

TABLE 213            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)       204

TABLE 214            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)       204

TABLE 215            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)            205

TABLE 216            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)            205

TABLE 217            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)            205

TABLE 218            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)            206

TABLE 219            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL,

2020–2024 (USD MILLION)            206

TABLE 220            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL,

2025–2030 (USD MILLION)            206

TABLE 221            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)    207

TABLE 222            MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)    207

TABLE 223          MIDDLE EAST: SMART WAREHOUSING MARKET, BY COUNTRY,

2020–2024 (USD MILLION)            208

TABLE 224          MIDDLE EAST: SMART WAREHOUSING MARKET, BY COUNTRY,

2025–2030 (USD MILLION)            208

TABLE 225          SAUDI ARABIA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            209

TABLE 226          SAUDI ARABIA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            209

TABLE 227            UAE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)     210

TABLE 228            UAE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)     210

TABLE 229            QATAR: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            211

TABLE 230            QATAR: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            211

TABLE 231            TURKEY: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            212

TABLE 232            TURKEY: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            212

TABLE 233            REST OF MIDDLE EAST: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            213

TABLE 234            REST OF MIDDLE EAST: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            213

TABLE 235            AFRICA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            214

TABLE 236            AFRICA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            214

TABLE 237            LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            216

TABLE 238            LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            216

TABLE 239            LATIN AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)                 216

TABLE 240            LATIN AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)                 217

TABLE 241            LATIN AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS,

2020–2024 USD MILLION)              217

TABLE 242            LATIN AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS,

2025–2030 (USD MILLION)            217

TABLE 243            LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE,

2020–2024 (USD MILLION)            218

TABLE 244            LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE,

2025–2030 (USD MILLION)            218

TABLE 245            LATIN AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE,

2020–2024 (USD MILLION)            218

TABLE 246            LATIN AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE,

2025–2030 (USD MILLION)            218

TABLE 247            LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICES,

2020–2024 (USD MILLION)            219

TABLE 248            LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICES,

2025–2030 (USD MILLION)          219

TABLE 249            LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)            219

TABLE 250            LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)            219

TABLE 251            LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2020–2024 (USD MILLION)            220

TABLE 252            LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,

2025–2030 (USD MILLION)            220

TABLE 253            LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY,

2020–2024 (USD MILLION)            220

TABLE 254            LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY,

2025–2030 (USD MILLION)            221

TABLE 255            LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL,

2020–2024 (USD MILLION)            221

TABLE 256            LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL,

2025–2030 (USD MILLION)            221

TABLE 257            LATIN AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 222

TABLE 258            LATIN AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 222

TABLE 259            LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY,

2020–2024 (USD MILLION)            222

TABLE 260            LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY,

2025–2030 (USD MILLION)            223

TABLE 261            BRAZIL: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)          223

TABLE 262            BRAZIL: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            224

TABLE 263            MEXICO: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)          224

TABLE 264            MEXICO: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            225

TABLE 265            ARGENTINA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            225

TABLE 266            ARGENTINA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            226

TABLE 267            REST OF LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,

2020–2024 (USD MILLION)            227

TABLE 268            REST OF LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,

2025–2030 (USD MILLION)            227

TABLE 269            OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART WAREHOUSING VENDORS, 2022–2025      228

TABLE 270            SMART WAREHOUSING MARKET: DEGREE OF COMPETITION 232

TABLE 271            SMART WAREHOUSING MARKET: REGION FOOTPRINT       241

TABLE 272            SMART WAREHOUSING MARKET: OFFERING FOOTPRINT       242

TABLE 273            SMART WAREHOUSING MARKET: TECHNOLOGY FOOTPRINT        243

TABLE 274            SMART WAREHOUSING MARKET: VERTICAL FOOTPRINT       244

TABLE 275            SMART WAREHOUSING MARKET: KEY STARTUPS/SMES, 2024   247

TABLE 276            SMART WAREHOUSING MARKET: COMPETITIVE BENCHMARKING OF

KEY STARTUPS/SMES, 2024          249

TABLE 277            SMART WAREHOUSING MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MARCH 2020–MAY 2025                 250

TABLE 278            SMART WAREHOUSING MARKET: DEALS, MARCH 2020–MAY 2025  251

TABLE 279            MANHATTAN ASSOCIATES: BUSINESS OVERVIEW          256

TABLE 280            MANHATTAN ASSOCIATES: PRODUCTS/SOLUTIONS/SERVICES OFFERED    257

TABLE 281            MANHATTAN ASSOCIATES: PRODUCT LAUNCHES AND ENHANCEMENTS           258

TABLE 282            MANHATTAN ASSOCIATES: DEALS          258

TABLE 283            KÖRBER: BUSINESS OVERVIEW 260

TABLE 284            KÖRBER: PRODUCTS/SOLUTIONS/SERVICES OFFERED             260

TABLE 285            KÖRBER: DEALS                261

TABLE 286            ORACLE: BUSINESS OVERVIEW 263

TABLE 287            ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED             264

TABLE 288            ORACLE: DEALS                265

TABLE 289            SAP: BUSINESS OVERVIEW           266

TABLE 290            SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED             267

TABLE 291            SAP: DEALS         268

TABLE 292            DEMATIC (KION GROUP): BUSINESS OVERVIEW                 270

TABLE 293            DEMATIC (KION GROUP): PRODUCTS/SOLUTIONS/SERVICES OFFERED    271

TABLE 294            DEMATIC (KION GROUP): DEALS             271

TABLE 295            PSI GROUP: BUSINESS OVERVIEW            273

TABLE 296            PSI GROUP: PRODUCTS/SOLUTIONS/SERVICES OFFERED             274

TABLE 297            PSI GROUP: DEALS          275

TABLE 298            SAMSUNG SDS: BUSINESS OVERVIEW     276

TABLE 299            SAMSUNG SDS: PRODUCTS/SOLUTIONS/SERVICES OFFERED    277

TABLE 300            SAMSUNG SDS: DEALS   278

TABLE 301            REPLY: BUSINESS OVERVIEW     279

TABLE 302            REPLY: PRODUCTS/SOLUTIONS/SERVICES OFFERED             280

TABLE 303            REPLY: DEALS   281

TABLE 304            INFOR: BUSINESS OVERVIEW     282

TABLE 305            INFOR: PRODUCTS/SOLUTIONS/SERVICES OFFERED             282

TABLE 306            INFOR: DEALS   283

TABLE 307            IBM: BUSINESS OVERVIEW           284

TABLE 308            IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED             285

TABLE 309            IBM: PRODUCT LAUNCHES AND ENHANCEMENTS             286

TABLE 310            IBM: DEALS        286

TABLE 311            BLUE YONDER: BUSINESS OVERVIEW    287

TABLE 312            BLUE YONDER: PRODUCTS/SOLUTIONS/SERVICES OFFERED    287

TABLE 313            BLUE YONDER: DEALS  288

TABLE 314            LOGISTICS AUTOMATION MARKET, BY OFFERING, 2019–2023 (USD MILLION)     315

TABLE 315            LOGISTICS AUTOMATION MARKET, BY OFFERING, 2024–2029 (USD MILLION)     315

TABLE 316          SOFTWARE: LOGISTICS AUTOMATION MARKET, BY DEPLOYMENT MODE,

2019–2023 (USD MILLION)            316

TABLE 317          SOFTWARE: LOGISTICS AUTOMATION MARKET, BY DEPLOYMENT MODE,

2024–2029 (USD MILLION)            316

TABLE 318            LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE,

2019–2023 (USD MILLION)            317

TABLE 319            LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE,

2024–2029 (USD MILLION)            317

TABLE 320            LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)            318

TABLE 321            LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)            318

TABLE 322            LOGISTICS AUTOMATION MARKET, BY ENTERPRISE TYPE,

2019–2023 (USD MILLION)            319

TABLE 323            LOGISTICS AUTOMATION MARKET, BY ENTERPRISE TYPE,

2024–2029 (USD MILLION)            319

TABLE 324          LOGISTICS AUTOMATION MARKET, BY REGION, 2019–2023 (USD MILLION)            320

TABLE 325          LOGISTICS AUTOMATION MARKET, BY REGION, 2024–2029 (USD MILLION)            320

TABLE 326            SUPPLY CHAIN ANALYTICS MARKET, BY OFFERING, 2016–2021 (USD BILLION)      321

TABLE 327            SUPPLY CHAIN ANALYTICS MARKET, BY OFFERING, 2022–2027 (USD BILLION)      322

TABLE 328            SUPPLY CHAIN ANALYTICS MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)             322

TABLE 329            SUPPLY CHAIN ANALYTICS MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)             322

TABLE 330            SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE,

2016–2021 (USD BILLION)             323

TABLE 331            SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE,

2022–2027 (USD BILLION)             323

TABLE 332            SUPPLY CHAIN ANALYTICS MARKET SIZE, BY ORGANIZATION,

2016–2021 (USD BILLION)             324

TABLE 333            SUPPLY CHAIN ANALYTICS MARKET SIZE, BY ORGANIZATION,

2022–2027 (USD BILLION)             324

TABLE 334            SUPPLY CHAIN ANALYTICS MARKET, BY BUSINESS FUNCTION,

2016–2021 (USD BILLION)             324

TABLE 335            SUPPLY CHAIN ANALYTICS MARKET, BY BUSINESS FUNCTION,

2022–2027 (USD BILLION)             325

TABLE 336            SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2016–2021 (USD BILLION)      325

TABLE 337            SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD BILLION)      326

TABLE 338            SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2016–2021 (USD BILLION)           326

TABLE 339            SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2022–2027 (USD BILLION)           327

LIST OF FIGURES

FIGURE 1              SMART WAREHOUSING MARKET: RESEARCH DESIGN                38

FIGURE 2              BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE,

DESIGNATION, AND REGION     40

FIGURE 3              SMART WAREHOUSING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES              42

FIGURE 4              MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN SMART WAREHOUSING MARKET              43

FIGURE 5              MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND SIDE): SMART WAREHOUSING MARKET                 44

FIGURE 6              MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS             44

FIGURE 7              MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH         45

FIGURE 8              SMART WAREHOUSING MARKET: DATA TRIANGULATION             46

FIGURE 9              AUTOMATED SYSTEMS SEGMENT TO DOMINATE MARKET IN 2025       51

FIGURE 10            ROBOTICS & AUTOMATION TO HOLD LARGEST MARKET SHARE IN 2025 51

FIGURE 11            LARGE WAREHOUSE SIZE SEGMENT TO LEAD MARKET IN 2025                52

FIGURE 12            HEALTHCARE & LIFE SCIENCES TO HOLD HIGHEST GROWTH RATE IN 2025              52

FIGURE 13            ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD       53

FIGURE 14            CONVERGENCE OF IOT AND 5G ACCELERATING WAREHOUSE INTELLIGENCE TO DRIVE MARKET               54

FIGURE 15            AUTOMATIC IDENTIFICATION & DATA COLLECTION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD         54

FIGURE 16            AUTOMATED SYSTEMS AND LARGE WAREHOUSE SIZE SEGMENTS TO DOMINATE MARKET IN NORTH AMERICA IN 2025              55

FIGURE 17            NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025   55

FIGURE 18            DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: SMART WAREHOUSING MARKET                57

FIGURE 19            EVOLUTION: SMART WAREHOUSING    62

FIGURE 20            SMART WAREHOUSING MARKET ECOSYSTEM                 65

FIGURE 21            SMART WAREHOUSING MARKET: SUPPLY CHAIN ANALYSIS              68

FIGURE 22            AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025      74

FIGURE 23            LIST OF KEY PATENTS FOR SMART WAREHOUSING, 2015–2025           79

FIGURE 24            SMART WAREHOUSING MARKET: PORTER’S FIVE FORCES ANALYSIS 81

FIGURE 25            INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS   83

FIGURE 26            KEY BUYING CRITERIA FOR TOP THREE VERTICALS         84

FIGURE 27            SMART WAREHOUSING MARKET: TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS            85

FIGURE 28            EXPORT SCENARIO FOR HS CODE 8428, BY KEY COUNTRY, 2017–2024      86

FIGURE 29            IMPORT VALUE FOR HS CODE 8428IMPORT, BY KEY COUNTRY, 2017–2024              87

FIGURE 30            INVESTMENT AND FUNDING SCENARIO, 2019–2024 (USD MILLION)       88

FIGURE 31            MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING SMART WAREHOUSING ACROSS VARIOUS TYPES OF SOLUTIONS 89

FIGURE 32            GENERATIVE AI BEST PRACTICES ACROSS MAJOR INDUSTRIES       91

FIGURE 33            SMART WAREHOUSING SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD      100

FIGURE 34            AUTOMATIC IDENTIFICATION & DATA COLLECTION SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD         101

FIGURE 35            AUTONOMOUS MOBILE ROBOTS SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD   103

FIGURE 36            TRANSPORT MANAGEMENT SYSTEMS TO RECORD HIGHEST CAGR DURING FORECAST PERIOD   107

FIGURE 37            3PL TO RECORD HIGHEST CAGR DURING FORECAST PERIOD         108

FIGURE 38            CLOUD DEPLOYMENT SEGMENT TO RECORD HIGHER

CAGR DURING FORECAST PERIOD          116

FIGURE 39            MANAGED SERVICES SEGMENT TO RECORD HIGHER

CAGR DURING FORECAST PERIOD          120

FIGURE 40            SUPPORT & MAINTENANCE SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 122

FIGURE 41            ROBOTICS & AUTOMATION SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD                 129

FIGURE 42            SMALL WAREHOUSES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD          137

FIGURE 43            HEALTHCARE AND LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD                 144

FIGURE 44            3PL VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD       145

FIGURE 45            NORTH AMERICA TO BE LARGEST REGIONAL MARKET DURING FORECAST PERIOD    155

FIGURE 46            INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD         156

FIGURE 47            NORTH AMERICA: SMART WAREHOUSING MARKET SNAPSHOT       158

FIGURE 48            ASIA PACIFIC: SMART WAREHOUSING MARKET SNAPSHOT          184

FIGURE 49            SMART WAREHOUSING MARKET: REVENUE ANALYSIS OF

KEY PLAYERS, 2020–2024                230

FIGURE 50            SMART WAREHOUSING MARKET SHARE ANALYSIS, 2024  232

FIGURE 51            PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS    234

FIGURE 52            BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS              236

FIGURE 53            FINANCIAL METRICS OF KEY VENDORS 237

FIGURE 54            YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK

BETA OF KEY VENDORS                238

FIGURE 55            SMART WAREHOUSING MARKET:

COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024  239

FIGURE 56            SMART WAREHOUSING MARKET: COMPANY FOOTPRINT       240

FIGURE 57            SMART WAREHOUSING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 246

FIGURE 58            MANHATTAN ASSOCIATES: COMPANY SNAPSHOT          257

FIGURE 59            ORACLE: COMPANY SNAPSHOT                264

FIGURE 60            SAP: COMPANY SNAPSHOT         267

FIGURE 61            PSI GROUP: COMPANY SNAPSHOT          274

FIGURE 62            SAMSUNG SDS: COMPANY SNAPSHOT   277

FIGURE 63            REPLY: COMPANY SNAPSHOT   280

FIGURE 64            IBM: COMPANY SNAPSHOT         285