Smart Shopping Cart Market - Global Forecast To 2030
商品番号 : SMB-91287
| 出版社 | MarketsandMarkets |
| 出版年月 | 2025年12月 |
| ページ数 | 185 |
| 図表数 | 191 |
| 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 |
スマートショッピングカート市場は2025年には3億2,600万米ドル規模となり、CAGR 34.3%で成長し、2030年までに1兆4,231億米ドルに達するとMarketsandMarketsでは予測しています。
AI、コンピュータービジョン、重量センサー、エッジ処理の急速な進歩は、スマートショッピングカート市場の成長を大きく牽引しています。これらの技術は、商品認識精度の向上、ハードウェアコストの削減、そして自動チェックアウトシステムの信頼性向上に貢献しています。最新のカートは、バーコードのない農産物を含む商品を識別し、誤スキャンを検出し、取引をリアルタイムで安全に処理できます。基盤となる技術がより手頃な価格で拡張可能になるにつれ、小売業者は大規模導入と長期的なROIへの自信を深めています。成熟した技術エコシステムは、モジュール式のアップグレード、バッテリー効率の向上、店舗システムとの統合強化もサポートしており、スマートカートは以前の世代よりも実用的で商業的に魅力的なものになっています。
MarketsandMarkets（マーケッツアンドマーケッツ）「スマートショッピングカート市場 – カートの種類（完全統合型カート、改造キット）、適用分野（ショッピングモール、スーパーマーケット）、販売形態（直接販売、販売代理店） – 2030年までの世界予測 – Smart Shopping Cart Market by Cart Type (Fully Integrated Carts, Retrofit Kits), Application Area (Shopping Malls, Supermarkets), Mode of Sale (Direct, Distributor) – Global Forecast to 2030」はスマートショッピングカートの世界市場を調査し、主要セグメント別に分析・予測を行っています。
調査対象範囲
本市場調査は、スマートショッピングカート市場の規模と成長の可能性を、用途分野、販売形態、カートの種類、地域など、様々なセグメントにわたって調査対象としています。スマートショッピングカート市場の調査対象分野には、ショッピングモール、スーパーマーケット、その他の用途が含まれます。販売形態セグメントには、直販と販売代理店が含まれます。カートの種類セグメントには、完全統合型カートと後付けカートが含まれます。スマートショッピングカート市場の地域分析は、北米、ヨーロッパ、アジア太平洋、中東・アフリカ、ラテンアメリカを対象としています。
レポート購入の主なメリット
本レポートは、市場リーダー企業と新規参入企業にとって、世界のスマートショッピングカート市場の収益数値とサブセグメントに関する近似値に関する情報を提供するのに役立ちます。また、ステークホルダーが競争環境を理解し、貴重な洞察を得て、効果的な市場開拓戦略を策定するのに役立ちます。さらに、本レポートはステークホルダーに市場の動向に関する洞察を提供し、主要な市場牽引要因、制約要因、課題、そして機会に関する情報を提供します。
本レポートでは、以下の洞察を提供しています。
スマートショッピングカート市場の成長に影響を与える主要な推進要因（摩擦のない、非接触でパーソナライズされたショッピングに対する消費者の需要の高まり、コンピュータービジョン、センサー、エッジコンピューティングにおける技術の進歩により、信頼性の高い低遅延の商品認識が可能）、制約要因（ハードウェアの初期費用と統合コストの高さ、POS、在庫管理、ロイヤルティシステムとの統合の複雑さ）、機会（既存のカートへの後付けデバイス／接続型ソリューションによる導入コストの削減、カート内プロモーション、ターゲットを絞ったオファー、広告による継続的な収益源の創出）、課題（SKUやパッケージ変更を問わない堅牢な商品認識、稼働時間、バッテリーのロジスティクス、数千台のカートにわたるフィールドサービスの提供による拡張の複雑化）の分析。
- 製品開発／イノベーション：スマートショッピングカート市場における今後の技術、研究開発活動、製品・サービスの投入に関する詳細な洞察。
- 市場開発：本レポートは、様々な地域におけるスマートショッピングカート市場を分析し、有望な市場に関する包括的な情報を提供します。
- 市場の多様化：スマートショッピングカート市場における新製品・サービス、未開拓地域、最近の動向、投資に関する包括的な情報。
- 競合評価: Amazon (米国)、Caper (米国)、Veeve (米国)、Shopic (イスラエル)、SuperHii (中国)、Tracxpoint (イスラエル)、Cust2Mate (イスラエル)、Shekel (イスラエル)、Faytech (米国)、KBST (ドイツ)、MetroClick (米国)、Retail AI (日本)、Pentland Firth Software (ドイツ)、VasyERP (インド)、Smapca (インド)、SwiftForce (インド)、Kwikkart (米国)、ZeroQs (ポーランド)、Shopreme (オーストリア)、Trollee (香港) などの主要プレーヤーの市場シェア、成長戦略、サービス提供の詳細な評価。
Report Description
The smart shopping cart market is estimated to be USD 326.0 million in 2025 and is expected to reach USD 1,423.1 billion by 2030, growing at a CAGR of 34.3%.
Rapid advancements in AI, computer vision, weight sensors, and edge processing are significantly driving the growth of the smart shopping cart market. These technologies have improved item recognition accuracy, reduced hardware costs, and enhanced the reliability of autonomous checkout systems. Modern carts can identify products, including produce without barcodes, detect mis-scans, and process transactions securely in real time. As the underlying technology becomes more affordable and scalable, retailers gain confidence in large-scale deployment and long-term ROI. The maturing technology ecosystem also supports modular upgrades, improved battery efficiency, and better integration with store systems, making smart carts more practical and commercially attractive than earlier generations.
“The direct segment is expected to have the largest market size.”
Direct sales involve the vendor working closely with retailers to manage installation, integration, and ongoing service. This model ensures tight alignment with store systems, including POS, inventory, loyalty, and real-time analytics platforms. Retailers benefit from higher customization, faster issue resolution, and prioritized feature enhancements. Vendors gain valuable user feedback that accelerates product improvement. Direct sales are common among large supermarket chains or retailers requiring high levels of accuracy, reliability, and long-term partnership commitments. This model supports advanced deployments where full-stack integration of AI models, edge processing, connectivity, and payment processing is crucial. Recent large-scale deployments by major grocery chains have typically been executed through direct partnerships, ensuring the technology is tailored specifically to the retailer’s unique inventory and operational workflows.
“North America is expected to hold the largest market share.”
North America’s smart shopping cart market is undergoing a rapid transformation, driven by a relentless focus on enhancing customer experiences and reducing operational costs. The region’s retail landscape, characterized by fierce competition, drives major players to innovate aggressively with smart cart technology. Innovations in on-cart edge computing and advanced sensor fusion are enhancing accuracy for loss prevention and enabling dynamic pricing at the point of sale. Companies are also exploring innovative financing models, such as “Robot-as-a-Service,” to accelerate deployment across diverse retail formats. The high disposable income and established digital payment habits of North American consumers make them particularly receptive to in-cart payment and personalized offers. Additionally, the ongoing evolution of supply chain logistics is influencing cart design, integrating more closely with inventory management systems. This concerted effort to redefine the physical shopping experience through technology cements North America’s position as a critical growth hub for smart shopping carts.
Breakdown of primaries
The study offers insights from a range of industry experts, including solution vendors and Tier 1 companies. The break-up of the primaries is as follows:
- By Company Type: Tier 1 – 62%, Tier 2 – 23%, and Tier 3 – 15%
- By Designation: C-level – 38%, D-level – 30%, and Others – 32%
- By Region: North America – 40%, Europe – 15%, Asia Pacific – 35%, Middle East & Africa – 5%, Latin America – 5%
The major players in the smart shopping cart market include Amazon (US), Caper (US), Veeve (US), Shopic (Israel), SuperHii (China), Tracxpoint (Israel), Cust2Mate (Israel), Shekel (Israel), Faytech (US), KBST (Germany), MetroClick (US), Retail AI (Japan), Pentland Firth Software (Germany), VasyERP (India), Smapca (India), SwiftForce (India), Kwikkart (US), ZeroQs (Poland), Shopreme (Austria), and Trollee (Hong Kong). These players have adopted various growth strategies, including partnerships, agreements, collaborations, new product launches, enhancements, and acquisitions, to expand their footprint in the smart shopping cart market.
Research Coverage
The market study covers the smart shopping cart market size and growth potential across different segments, including application areas, modes of sale, cart types, and regions. The application areas studied under the smart shopping cart market include shopping malls, supermarkets, and other application areas. The mode of sale segment includes direct and distributor. The cart type segment comprises fully integrated carts and retrofit carts. The regional analysis of the smart shopping cart market covers North America, Europe, the Asia Pacific, the Middle East & Africa, and Latin America.
Key Benefits of Buying the Report
The report will help market leaders and new entrants with information on the closest approximations of the global smart shopping cart market’s revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape, gain valuable insights, and develop effective go-to-market strategies. Moreover, the report will provide stakeholders with insights into the market’s pulse, offering them information on key market drivers, restraints, challenges, and opportunities.
The report provides the following insights:
Analysis of key drivers (Growing consumer demand for frictionless, contactless, and personalized shopping, Technological advancements in computer vision, sensors, and edge computing enable reliable, low-latency item recognition), restraints (High upfront hardware and integration costs, Integration complexity with POS, inventory, and loyalty systems), opportunities (Retrofit devices/attachable solutions for existing carts, reducing the deployment cost, In-cart promotions, targeted offers, and ads create recurring revenue streams), and challenges (Robust item recognition across SKUs and packaging changes, Maintaining uptime, battery logistics, and field servicing across thousands of carts complicates scaling) influencing the growth of the smart shopping cart market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and product & service launches in the smart shopping cart market.
- Market Development: The report provides comprehensive information about lucrative markets, analyzing the smart shopping cart market across various regions.
- Market Diversification: Comprehensive information about new products and services, untapped geographies, recent developments, and investments in the smart shopping cart market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Amazon (US), Caper (US), Veeve (US), Shopic (Israel), SuperHii (China), Tracxpoint (Israel), Cust2Mate (Israel), Shekel (Israel), Faytech (US), KBST (Germany), MetroClick (US), Retail AI (Japan), Pentland Firth Software (Germany), VasyERP (India), Smapca (India), SwiftForce (India), Kwikkart (US), ZeroQs (Poland), Shopreme (Austria), and Trollee (Hong Kong).
Table of Contents
1 INTRODUCTION 22
1.1 STUDY OBJECTIVES 22
1.2 MARKET DEFINITION 22
1.3 MARKET SCOPE 22
1.3.1 MARKET SEGMENTATION & REGIONAL SCOPE 23
1.3.2 INCLUSIONS AND EXCLUSIONS 23
1.4 YEARS CONSIDERED 24
1.5 CURRENCY CONSIDERED 24
1.6 STAKEHOLDERS 25
2 RESEARCH METHODOLOGY 26
2.1 RESEARCH DATA 26
2.1.1 SECONDARY DATA 27
2.1.1.1 Key data from secondary sources 27
2.1.2 PRIMARY DATA 27
2.1.2.1 Primary interviews with experts 28
2.1.2.2 Breakdown of primary profiles 28
2.1.2.3 Key data from primary sources 29
2.1.2.4 Key industry insights 29
2.2 MARKET BREAKUP AND DATA TRIANGULATION 30
2.3 MARKET SIZE ESTIMATION 31
2.3.1 TOP-DOWN APPROACH 33
2.3.2 BOTTOM-UP APPROACH 33
2.4 MARKET FORECAST 34
2.4.1 FACTOR ANALYSIS 34
2.5 RESEARCH ASSUMPTIONS 35
2.6 LIMITATIONS 35
3 EXECUTIVE SUMMARY 36
3.1 KEY INSIGHTS AND MARKET HIGHLIGHTS 36
3.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 37
3.3 DISRUPTIONS SHAPING MARKET 38
3.4 HIGH-GROWTH SEGMENTS 39
3.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST 40
4 PREMIUM INSIGHTS 41
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART SHOPPING CART MARKET 41
4.2 SMART SHOPPING CART MARKET, BY MODE OF SALE AND REGION 42
4.3 SMART SHOPPING CART MARKET, BY APPLICATION AREA 42
4.4 SMART SHOPPING CART MARKET, BY MODE OF SALE 43
5 MARKET OVERVIEW AND INDUSTRY TRENDS 44
5.1 INTRODUCTION 44
5.2 MARKET DYNAMICS 44
5.2.1 DRIVERS 45
5.2.1.1 Growing consumer demand for frictionless, contactless, and personalized shopping 45
5.2.1.2 Technological advancements in computer vision, sensors, and edge computing enable reliable, low-latency item recognition 46
5.2.2 RESTRAINTS 46
5.2.2.1 High upfront hardware and integration costs 46
5.2.2.2 Integration complexity with POS, inventory, and loyalty systems 46
5.2.3 OPPORTUNITIES 47
5.2.3.1 Retrofit devices/attachable solutions for existing carts, reducing deployment cost 47
5.2.3.2 In-cart promotions, targeted offers, and ads create recurring revenue streams 47
5.2.4 CHALLENGES 47
5.2.4.1 Robust item recognition across SKUs and packaging changes 47
5.2.4.2 Maintaining uptime, battery logistics, and field servicing across thousands of carts complicates scaling 48
5.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 48
5.3.1 INTERCONNECTED MARKETS 48
5.3.2 CROSS-SECTOR OPPORTUNITIES 48
5.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 49
5.4.1 KEY MOVES AND STRATEGIC FOCUS 49
6 INDUSTRY TRENDS 50
6.1 PORTER’S FIVE FORCES MODEL ANALYSIS 50
6.1.1 THREAT OF NEW ENTRANTS 51
6.1.2 THREAT OF SUBSTITUTES 51
6.1.3 BARGAINING POWER OF SUPPLIERS 51
6.1.4 BARGAINING POWER OF BUYERS 51
6.1.5 INTENSITY OF COMPETITIVE RIVALRY 52
6.2 MACROECONOMIC OUTLOOK 52
6.2.1 INTRODUCTION 52
6.2.2 GDP TRENDS AND FORECAST 52
6.2.3 TRENDS IN GLOBAL SMART SHOPPING CART INDUSTRY 54
6.3 SUPPLY CHAIN ANALYSIS 55
6.4 VALUE CHAIN ANALYSIS 56
6.5 ECOSYSTEM 56
6.6 PRICING ANALYSIS 58
6.6.1 AVERAGE PRICING ANALYSIS 58
6.6.2 INDICATIVE PRICING ANALYSIS, BY CART TYPE 59
6.7 TRADE ANALYSIS 59
6.7.1 EXPORT SCENARIO OF TRAILERS AND SEMI-TRAILERS; OTHER VEHICLES, NOT MECHANICALLY PROPELLED 59
6.7.2 IMPORT SCENARIO OF VEHICLES PUSHED OR DRAWN BY HAND AND OTHER VEHICLES NOT MECHANICALLY PROPELLED BY COUNTRY, 2020–2024 (USD MILLION) 60
6.8 KEY CONFERENCES AND EVENTS 60
6.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 61
6.10 INVESTMENT AND FUNDING SCENARIO 61
6.11 CASE STUDY ANALYSIS 62
6.11.1 VEEVE — SMART CART ROLLOUTS & RETAIL MEDIA PIVOT 62
6.11.2 TRACXPOINT — AI CART PLATFORM 62
6.11.3 SHOPREME’S SCAN & GO SDK INTEGRATED INTO REWE’S 62
6.12 IMPACT OF 2025 US TARIFF – SMART SHOPPING CART MARKET 63
6.12.1 INTRODUCTION 63
6.12.2 KEY TARIFF RATES 63
6.12.3 PRICE IMPACT ANALYSIS 64
6.12.4 IMPACT ON COUNTRY/REGION 65
6.12.4.1 US 65
6.12.4.2 Europe 66
6.12.4.3 Asia Pacific 66
6.12.4.4 IMPACT ON IoT END USERS 67
7 STRATEGIC DISRUPTION: PATENTS, DIGITAL, AND AI ADOPTION 68
7.1 KEY EMERGING TECHNOLOGIES 68
7.1.1 COMPUTER VISION-DRIVEN SKU DETECTION 68
7.1.2 EDGE AI HARDWARE & ON-CART PROCESSING UNITS 68
7.1.3 MULTI-SENSOR FUSION (WEIGHT SENSORS, DEPTH CAMERAS, LIDAR) 68
7.2 COMPLEMENTARY TECHNOLOGIES 68
7.2.1 RFID & NFC-BASED ITEM TRACKING 68
7.2.2 CLOUD ANALYTICS & RETAIL DATA PLATFORMS 68
7.2.3 DIGITAL TWIN & STORE SIMULATION SYSTEMS 68
7.3 TECHNOLOGY/PRODUCT ROADMAP FOR SMART SHOPPING CART MARKET 69
7.3.1 SHORT-TERM ROADMAP (2023–2025) 69
7.3.2 MID-TERM ROADMAP (2026–2028) 69
7.3.3 LONG-TERM ROADMAP (2029–2030) 69
7.3.4 SMART SHOPPING CART ECOSYSTEM 69
7.3.4.1 Web management platform 69
7.3.4.2 Cloud infrastructure 70
7.3.4.3 Products & hardware 70
7.3.4.4 Middleware 70
7.3.4.5 ERP & POS system integration 70
7.4 PATENT ANALYSIS 71
7.4.1 LIST OF MAJOR PATENTS 72
7.5 IMPACT OF AI/GENERATIVE AI ON SMART SHOPPING CART MARKET 73
7.5.1 TOP USE CASES AND MARKET POTENTIAL OF GENERATIVE AI IN SMART SHOPPING CARTS 73
7.5.2 BEST PRACTICES OF SMART SHOPPING CART MARKET 75
7.5.3 CASE STUDIES OF AI IMPLEMENTATION IN SMART SHOPPING CART MARKET 75
7.5.3.1 Case study 1: Caper AI-powered Smart Cart Deployment 75
7.5.3.2 Case study 2: Shopic Clip-On Device Rollout 76
7.5.3.3 Case study 3: Cust2Mate Intelligent Cart Program 76
7.5.3.4 Case study 4: Shekel Scales & Vision System Integration 76
7.5.4 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS 76
7.5.5 CLIENTS’ READINESS TO ADOPT GENERATIVE AI IN SMART SHOPPING CARTS 77
7.6 TECHNOLOGIES ADOPTED BY COMPETITORS 77
7.7 BUSINESS MODELS 78
7.8 RETAILERS CURRENTLY TESTING OR ADOPTING SMART CARTS 78
8 REGULATORY LANDSCAPE AND COMPLIANCE 80
8.1 REGULATORY LANDSCAPE 80
8.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 80
8.1.2 INDUSTRY STANDARDS 84
8.1.2.1 North America 84
8.1.2.1.1 US 84
8.1.2.1.2 Canada 84
8.1.2.2 Europe 84
8.1.2.3 Asia Pacific 84
8.1.2.3.1 China 84
8.1.2.3.2 Japan 85
8.1.2.3.3 India 85
8.1.2.4 Middle East & Africa 85
8.1.2.4.1 UAE 85
8.1.2.4.2 Saudi Arabia 85
8.1.2.4.3 South Africa 85
8.1.2.5 Latin America 85
8.1.2.5.1 Brazil 85
9 CUSTOMER LANDSCAPE & BUYER BEHAVIOR 86
9.1 DECISION-MAKING PROCESS 86
9.2 KEY STAKEHOLDERS AND BUYING CRITERIA 87
9.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 87
9.2.2 BUYING CRITERIA 88
9.3 ADOPTION BARRIERS & INTERNAL CHALLENGES 88
9.4 UNMET NEEDS IN VARIOUS END-USE VERTICALS 90
10 SMART SHOPPING CART MARKET, BY TECHNOLOGY 91
10.1 INTRODUCTION 91
10.1.1 TECHNOLOGY: SMART SHOPPING CART MARKET DRIVERS 91
10.2 COMPUTER VISION 91
10.2.1 VISUALIZING CART’S CONTENTS FOR SEAMLESS TRACKING 91
10.2.1.1 Use Cases 92
10.3 AI MODULES 92
10.3.1 POWER REAL-TIME DECISIONS AND PERSONALIZED INTERACTIONS 92
10.3.1.1 Use Cases 92
10.4 SENSORS 93
10.4.1 CAPTURING GRANULAR DATA FOR MULTI-MODAL VERIFICATION 93
10.4.1.1 Use Cases 93
10.5 EDGE COMPUTING 93
10.5.1 ENABLE LOW-LATENCY PROCESSING FOR REAL-TIME CART FUNCTIONS 93
10.5.1.1 Use Cases 94
10.6 CONNECTIVITY 94
10.6.1 MAINTAIN SEAMLESS COMMUNICATION BETWEEN CART AND STORE SYSTEMS 94
10.6.1.1 Use Cases 94
10.7 DISPLAY 95
10.7.1 ENHANCE USER INTERACTION AND IMPROVE SHOPPING EFFICIENCY 95
10.7.1.1 Use Cases 95
10.8 PAYMENT PROCESSING 95
10.8.1 ENABLE SECURE, FRICTIONLESS DIGITAL TRANSACTIONS 95
10.8.1.1 Use Cases 95
11 SMART SHOPPING CART MARKET, BY CART TYPE 96
11.1 INTRODUCTION 97
11.1.1 CART TYPE: SMART SHOPPING CART MARKET DRIVERS 97
11.2 FULLY INTEGRATED CARTS 98
11.2.1 INCREASING DEMAND FOR HIGH-PRECISION, END-TO-END IN-STORE AUTOMATION 98
11.3 RETROFIT KITS 98
11.3.1 LOW UPFRONT COST AND RAPID DEPLOYMENT CAPABILITIES 98
12 SMART SHOPPING CART MARKET, BY APPLICATION AREA 100
12.1 INTRODUCTION 101
12.1.1 APPLICATION AREA: SMART SHOPPING CART MARKET DRIVERS 101
12.2 SHOPPING MALLS 102
12.2.1 ENHANCE MULTI-STORE EXPERIENCE AND SHOPPER ENGAGEMENT 102
12.3 SUPERMARKETS 102
12.3.1 OPTIMIZE HIGH-FREQUENCY, HIGH-SKU SHOPPING JOURNEYS 102
12.4 OTHER APPLICATION AREAS 103
13 SMART SHOPPING CART MARKET, BY MODE OF SALE 104
13.1 INTRODUCTION 105
13.1.1 MODE OF SALE: SMART SHOPPING CART MARKET DRIVERS 105
13.2 DIRECT 106
13.2.1 DEEP INTEGRATION AND CONTROL OVER RETAILER EXPERIENCE 106
13.3 DISTRIBUTOR 106
13.3.1 EXPAND MARKET REACH AND ENABLE LOCALIZED SUPPORT 106
14 SMART SHOPPING CART MARKET, BY REGION 108
14.1 INTRODUCTION 109
14.2 NORTH AMERICA 109
14.2.1 US 111
14.2.1.1 Accelerated Retail Digitalization Driving Smart Cart Uptake 111
14.2.2 CANADA 112
14.2.2.1 Growing Retail Modernization Supporting Smart Cart Pilots 112
14.3 EUROPE 113
14.3.1 UK 114
14.3.1.1 AI-led Store Innovation Fueling Smart Trolley Deployments 114
14.3.2 GERMANY 115
14.3.2.1 Expansion of Seamless Checkout Technologies Enabling Smart Cart Adoption 115
14.3.3 FRANCE 116
14.3.3.1 Retail Automation Investments Catalyzing Smart Cart Trials 116
14.3.4 ITALY 117
14.3.4.1 Increasing Omnichannel Retail Focus Encouraging Smart Cart Use Cases 117
14.3.5 REST OF EUROPE 118
14.4 ASIA PACIFIC 119
14.4.1 CHINA 121
14.4.1.1 Focus on Alternative Retail Tech 121
14.4.2 INDIA 122
14.4.2.1 Conglomerate Unveils Smart Cart Demo 122
14.4.3 JAPAN 123
14.4.3.1 National Chain Trials Scanning Carts 123
14.4.4 AUSTRALIA & NEW ZEALAND 124
14.4.4.1 Government Pilots Driving Trusted RAG Use Cases 124
14.4.5 REST OF ASIA PACIFIC 125
14.5 MIDDLE EAST & AFRICA 126
14.5.1 ISRAEL 127
14.5.1.1 Tech Exporter of Smart Carts 127
14.5.2 UAE 128
14.5.2.1 Vision 2030 Investments Scaling Knowledge-centric AI 128
14.5.3 SOUTH AFRICA 129
14.5.3.1 First Smart Trolley Trials 129
14.5.4 REST OF MIDDLE EAST & AFRICA 130
14.6 LATIN AMERICA 131
14.6.1 CHILE 133
14.6.1.1 Driving AI-enabled Checkout Transformation Across Leading Supermarket Chains 133
14.6.2 MEXICO 134
14.6.2.1 Accelerating Retail Modernization Through Large-scale Smart Cart Pilots 134
14.6.3 REST OF LATIN AMERICA 135
15 COMPETITIVE LANDSCAPE 136
15.1 INTRODUCTION 136
15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023–2025 136
15.3 MARKET SHARE ANALYSIS, 2025 137
15.4 BRAND/PRODUCT COMPARISON 140
15.5 COMPANY VALUATION AND FINANCIAL METRICS 140
15.6 COMPANY EVALUATION MATRIX: MAJOR PLAYERS, 2025 142
15.6.1 STARS 142
15.6.2 EMERGING LEADERS 142
15.6.3 PERVASIVE PLAYERS 142
15.6.4 PARTICIPANTS 142
15.6.5 COMPANY FOOTPRINT: MAJOR PLAYERS, 2025 144
15.6.5.1 Company footprint 144
15.6.5.2 Region footprint 145
15.6.5.3 Application area footprint 146
15.6.5.4 Mode of sale footprint 147
15.7 COMPETITIVE SCENARIO 147
15.7.1 PRODUCT LAUNCHES AND ENHANCEMENTS 147
15.7.2 DEALS 148
16 COMPANY PROFILES 150
16.1 KEY PLAYERS 150
16.1.1 AMAZON 150
16.1.1.1 Business overview 150
16.1.1.2 Products/Solutions/Services offered 151
16.1.1.3 Recent developments 152
16.1.1.3.1 Product launches 152
16.1.1.3.2 Deals 152
16.1.1.4 MnM view 152
16.1.1.4.1 Key strengths/Right to win 152
16.1.1.4.2 Strategic choices 153
16.1.1.4.3 Weaknesses and competitive threats 153
16.1.2 CAPER 154
16.1.2.1 Business overview 154
16.1.2.2 Products/Solutions/Services offered 154
16.1.2.3 Recent developments 155
16.1.2.3.1 Deals 155
16.1.2.4 MnM view 155
16.1.2.4.1 Key strengths/Right to win 155
16.1.2.4.2 Strategic choices 155
16.1.2.4.3 Weaknesses and competitive threats 155
16.1.3 VEEVE 156
16.1.3.1 Business overview 156
16.1.3.2 Products/Solutions/Services offered 156
16.1.3.3 Recent developments 157
16.1.3.3.1 Product launches 157
16.1.3.3.2 Deals 157
16.1.3.4 MnM view 157
16.1.3.4.1 Key strengths/Right to win 157
16.1.3.4.2 Strategic choices 158
16.1.3.4.3 Weaknesses and competitive threats 158
16.1.4 SHOPIC 159
16.1.4.1 Business overview 159
16.1.4.2 Products/Solutions/Services offered 159
16.1.4.3 Recent developments 160
16.1.4.3.1 Deals 160
16.1.4.4 MnM view 161
16.1.4.4.1 Key strengths/Right to win 161
16.1.4.4.2 Strategic choices 161
16.1.4.4.3 Weaknesses and competitive threats 161
16.1.5 SUPERHII 162
16.1.5.1 Business overview 162
16.1.5.2 Products/Solutions/Services offered 162
16.1.5.3 Recent developments 163
16.1.5.3.1 Product launches 163
16.1.5.4 MnM view 163
16.1.5.4.1 Key strengths/Right to win 163
16.1.5.4.2 Strategic choices 164
16.1.5.4.3 Weaknesses and competitive threats 164
16.1.6 TRACXPOINT 165
16.1.6.1 Business overview 165
16.1.6.2 Products/Solutions/Services offered 165
16.1.6.3 Recent developments 166
16.1.6.3.1 Deals 166
16.1.7 CUST2MATE 167
16.1.7.1 Business overview 167
16.1.7.2 Products/Solutions/Services offered 168
16.1.7.3 Recent developments 168
16.1.7.3.1 Expansions 168
16.1.8 SHEKEL 169
16.1.8.1 Business overview 169
16.1.8.2 Products/Solutions/Services offered 169
16.1.9 FAYTECH 170
16.1.9.1 Business overview 170
16.1.9.2 Products/Solutions/Services offered 170
16.1.10 KBST 171
16.1.10.1 Business overview 171
16.1.10.2 Products/Solutions/Services offered 171
16.2 OTHER PLAYERS 172
16.2.1 METROCLICK 172
16.2.2 RETAIL AI 173
16.2.3 PENTLAND FIRTH SOFTWARE 174
16.2.4 VASY ERP 174
16.2.5 SMAPCA 175
16.2.6 SWIFTFORCE 175
16.2.7 KWIKKART 176
16.2.8 ZEROQS 176
16.2.9 SHOPREME 177
16.2.10 TROLLEE 177
17 APPENDIX 178
17.1 DISCUSSION GUIDE 178
17.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 181
17.3 CUSTOMIZATION OPTIONS 183
17.4 RELATED REPORTS 183
17.5 AUTHOR DETAILS 184
LIST OF TABLES
TABLE 1 INCLUSIONS AND EXCLUSIONS 23
TABLE 2 USD EXCHANGE RATES, 2022–2024 24
TABLE 3 IMPACT OF PORTER’S FIVE FORCES ON SMART SHOPPING CART MARKET 51
TABLE 4 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021–2029 52
TABLE 5 SMART SHOPPING CART MARKET: ECOSYSTEM 57
TABLE 6 AVERAGE SELLING PRICE OF KEY PLAYERS FOR SMART SHOPPING CARTS (USD) 58
TABLE 7 INDICATIVE PRICING LEVELS OF SMART SHOPPING CART, BY CART TYPE (USD) 59
TABLE 8 SMART SHOPPING CART MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2024–2025 60
TABLE 9 US ADJUSTED RECIPROCAL TARIFF RATES 63
TABLE 10 EXPECTED CHANGE IN PRICES AND IMPACT ON END-USE MARKETS
DUE TO TARIFF IMPACT 64
TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 80
TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 81
TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 82
TABLE 14 REST OF THE WORLD: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR APPLICATION AREAS 87
TABLE 16 KEY BUYING CRITERIA FOR APPLICATION AREAS 88
TABLE 17 SMART SHOPPING CART MARKET: UNMET NEEDS IN KEY END-USE VERTICALS 90
TABLE 18 SMART SHOPPING CART MARKET, BY CART TYPE, 2025–2030 (USD MILLION) 97
TABLE 19 FULLY INTEGRATED CARTS: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 98
TABLE 20 RETROFIT KITS: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 99
TABLE 21 SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 101
TABLE 22 SHOPPING MALLS: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 102
TABLE 23 SUPERMARKETS: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 103
TABLE 24 OTHER APPLICATION AREAS: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 103
TABLE 25 SMART SHOPPING CART MARKET, BY MODE OF SALE, 2025–2030 (USD MILLION) 105
TABLE 26 DIRECT: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 106
TABLE 27 DISTRIBUTOR: SMART SHOPPING CART MARKET, BY REGION,
2025–2030 (USD MILLION) 107
TABLE 28 SMART SHOPPING CART MARKET, BY REGION, 2025–2030 (USD MILLION) 109
TABLE 29 NORTH AMERICA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 110
TABLE 30 NORTH AMERICA: SMART SHOPPING CART MARKET, BY APPLICATION AREA, 2025–2030 (USD MILLION) 110
TABLE 31 NORTH AMERICA: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 111
TABLE 32 NORTH AMERICA: SMART SHOPPING CART MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 111
TABLE 33 US: SMART SHOPPING CART MARKET, BY CART TYPE, 2025–2030 (USD MILLION) 111
TABLE 34 US: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 112
TABLE 35 US: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 112
TABLE 36 CANADA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 112
TABLE 37 CANADA: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 113
TABLE 38 CANADA: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 113
TABLE 39 EUROPE: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 113
TABLE 40 EUROPE: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 114
TABLE 41 EUROPE: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 114
TABLE 42 EUROPE: SMART SHOPPING CART MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 114
TABLE 43 UK: SMART SHOPPING CART MARKET, BY CART TYPE, 2025–2030 (USD MILLION) 115
TABLE 44 UK: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 115
TABLE 45 UK: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 115
TABLE 46 GERMANY: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 116
TABLE 47 GERMANY: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 116
TABLE 48 GERMANY: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 116
TABLE 49 FRANCE: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 117
TABLE 50 FRANCE: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 117
TABLE 51 FRANCE: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 117
TABLE 52 ITALY: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 118
TABLE 53 ITALY: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 118
TABLE 54 ITALY: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 118
TABLE 55 REST OF EUROPE: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 119
TABLE 56 REST OF EUROPE: SMART SHOPPING CART MARKET, BY APPLICATION AREA, 2025–2030 (USD MILLION) 119
TABLE 57 REST OF EUROPE: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 119
TABLE 58 ACIA PACIFIC: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 120
TABLE 59 ASIA PACIFIC: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 120
TABLE 60 ASIA PACIFIC: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 121
TABLE 61 ASIA PACIFIC: SMART SHOPPING CART MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 121
TABLE 62 CHINA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 121
TABLE 63 CHINA: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 122
TABLE 64 CHINA: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 122
TABLE 65 INDIA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 122
TABLE 66 INDIA: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 123
TABLE 67 INDIA: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 123
TABLE 68 JAPAN: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 123
TABLE 69 JAPAN: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 124
TABLE 70 JAPAN: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 124
TABLE 71 ANZ: SMART SHOPPING CART MARKET, BY CART TYPE, 2025–2030 (USD MILLION) 124
TABLE 72 ANZ: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 125
TABLE 73 ANZ: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 125
TABLE 74 REST OF ASIA PACIFIC: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 125
TABLE 75 REST OF ASIA PACIFIC: SMART SHOPPING CART MARKET, BY APPLICATION AREA, 2025–2030 (USD MILLION) 126
TABLE 76 REST OF ASIA PACIFIC: SMART SHOPPING CART MARKET, BY MODE OF SALE, 2025–2030 (USD MILLION) 126
TABLE 77 MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 126
TABLE 78 MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET, BY APPLICATION AREA, 2025–2030 (USD MILLION) 127
TABLE 79 MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET, BY MODE OF SALE, 2025–2030 (USD MILLION) 127
TABLE 80 MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 127
TABLE 81 ISRAEL: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 128
TABLE 82 ISRAEL: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 128
TABLE 83 ISRAEL: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 128
TABLE 84 UAE: SMART SHOPPING CART MARKET, BY CART TYPE, 2025–2030 (USD MILLION) 129
TABLE 85 UAE: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 129
TABLE 86 UAE: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 129
TABLE 87 SOUTH AFRICA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 130
TABLE 88 SOUTH AFRICA: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 130
TABLE 89 SOUTH AFRICA: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 130
TABLE 90 REST OF MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET,
BY CART TYPE, 2025–2030 (USD MILLION) 131
TABLE 91 REST OF MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET,
BY APPLICATION AREA, 2025–2030 (USD MILLION) 131
TABLE 92 REST OF MIDDLE EAST & AFRICA: SMART SHOPPING CART MARKET, BY MODE OF SALE, 2025–2030 (USD MILLION) 131
TABLE 93 LATIN AMERICA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 132
TABLE 94 LATIN AMERICA: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 132
TABLE 95 LATIN AMERICA: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 132
TABLE 96 LATIN AMERICA: SMART SHOPPING CART MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 132
TABLE 97 CHILE: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 133
TABLE 98 CHILE: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 133
TABLE 99 CHILE: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 133
TABLE 100 MEXICO: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 134
TABLE 101 MEXICO: SMART SHOPPING CART MARKET, BY APPLICATION AREA,
2025–2030 (USD MILLION) 134
TABLE 102 MEXICO: SMART SHOPPING CART MARKET, BY MODE OF SALE,
2025–2030 (USD MILLION) 134
TABLE 103 REST OF LATIN AMERICA: SMART SHOPPING CART MARKET, BY CART TYPE,
2025–2030 (USD MILLION) 135
TABLE 104 REST OF LATIN AMERICA: SMART SHOPPING CART MARKET, BY APPLICATION AREA, 2025–2030 (USD MILLION) 135
TABLE 105 REST OF LATIN AMERICA: SMART SHOPPING CART MARKET,
BY MODE OF SALE, 2025–2030 (USD MILLION) 135
TABLE 106 OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART SHOPPING CART MARKET PLAYERS, 2022–2025 136
TABLE 107 SMART SHOPPING CART MARKET: DEGREE OF COMPETITION 138
TABLE 108 SMART SHOPPING CART MARKET: REGION FOOTPRINT 145
TABLE 109 SMART SHOPPING CART MARKET: APPLICATION AREA FOOTPRINT 146
TABLE 110 SMART SHOPPING CART MARKET: MODE OF SALE FOOTPRINT 147
TABLE 111 SMART SHOPPING CART MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, FEBRUARY 2021–OCTOBER 2025 148
TABLE 112 SMART SHOPPING CART MARKET: DEALS, MARCH 2022–AUGUST 2025 148
TABLE 113 AMAZON: COMPANY OVERVIEW 150
TABLE 114 AMAZON: PRODUCTS/SOLUTIONS/SERVICES OFFERED 151
TABLE 115 AMAZON: PRODUCT LAUNCHES 152
TABLE 116 AMAZON: DEALS 152
TABLE 117 CAPER: COMPANY OVERVIEW 154
TABLE 118 CAPER: PRODUCTS/SOLUTIONS/SERVICES OFFERED 154
TABLE 119 CAPER: DEALS 155
TABLE 120 VEEVE: COMPANY OVERVIEW 156
TABLE 121 VEEVE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 156
TABLE 122 VEEVE: PRODUCT LAUNCHES 157
TABLE 123 VEEVE: DEALS 157
TABLE 124 SHOPIC: COMPANY OVERVIEW 159
TABLE 125 SHOPIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 159
TABLE 126 SHOPIC: DEALS 160
TABLE 127 SUPERHII: COMPANY OVERVIEW 162
TABLE 128 SUPERHII: PRODUCTS/SOLUTIONS/SERVICES OFFERED 162
TABLE 129 SUPERHII: PRODUCT LAUNCHES 163
TABLE 130 TRACXPOINT: COMPANY OVERVIEW 165
TABLE 131 TRACXPOINT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 165
TABLE 132 TRACXPOINT: DEALS 166
TABLE 133 CUST2MATE: BUSINESS OVERVIEW 167
TABLE 134 CUST2MATE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 168
TABLE 135 CUST2MATE: EXPANSIONS 168
TABLE 136 SHEKEL: BUSINESS OVERVIEW 169
TABLE 137 SHEKEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED 169
TABLE 138 FAYTECH: COMPANY OVERVIEW 170
TABLE 139 FAYTECH: PRODUCTS/SOLUTIONS/SERVICES OFFERED 170
TABLE 140 KBST: BUSINESS OVERVIEW 171
TABLE 141 KBST: PRODUCTS/SOLUTIONS/SERVICES OFFERED 171
LIST OF FIGURES
FIGURE 1 SMART SHOPPING CART MARKET SEGMENTATION 23
FIGURE 2 YEARS CONSIDERED 24
FIGURE 3 SMART SHOPPING CART MARKET: RESEARCH DESIGN 26
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE,
DESIGNATION, AND REGION 28
FIGURE 5 KEY INSIGHTS FROM INDUSTRY EXPERTS 29
FIGURE 6 DATA TRIANGULATION 30
FIGURE 7 RESEARCH METHODOLOGY: APPROACH 31
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE OF SMART SHOPPING CART MARKET 32
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 BOTTOM-UP (DEMAND SIDE): COLLECTIVE REVENUE OF SMART SHOPPING CART VENDORS 32
FIGURE 10 TOP-DOWN APPROACH 33
FIGURE 11 BOTTOM-UP APPROACH 34
FIGURE 12 MARKET SCENARIO 36
FIGURE 13 GLOBAL SMART SHOPPING CART MARKET, 2025–2030 37
FIGURE 14 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN SMART
SHOPPING CART MARKET, 2025 37
FIGURE 15 DISRUPTIVE TRENDS INFLUENCING GROWTH OF SMART SHOPPING CART MARKET 38
FIGURE 16 HIGH-GROWTH SEGMENTS IN SMART SHOPPING CART MARKET, 2025 39
FIGURE 17 ASIA PACIFIC TO REGISTER FASTEST GROWTH DURING FORECAST PERIOD 40
FIGURE 18 DIGITAL TRANSFORMATION AND CONSUMER DEMAND
FUEL SMART CART MARKET BOOM 41
FIGURE 19 DIRECT SEGMENT ACCOUNTED FOR LARGEST MARKET SHARE IN 2025 42
FIGURE 20 SUPERMARKETS SEGMENT SET TO DOMINATE SMART SHOPPING CART MARKET IN 2025 42
FIGURE 21 DIRECT SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2025 43
FIGURE 22 SMART SHOPPING CART MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 45
FIGURE 23 PORTER’S FIVE FORCES ANALYSIS 50
FIGURE 24 SMART SHOPPING CART MARKET: SUPPLY CHAIN ANALYSIS 55
FIGURE 25 SMART SHOPPING CART MARKET: VALUE CHAIN ANALYSIS 56
FIGURE 26 KEY PLAYERS IN SMART SHOPPING CART MARKET ECOSYSTEM 57
FIGURE 27 AVERAGE SELLING PRICE TREND OF KEY PLAYERS FOR SMART SHOPPING CART PROVIDERS (USD) 58
FIGURE 28 EXPORTS SCENARIO OF VEHICLES PUSHED OR DRAWN BY HAND AND OTHER VEHICLES NOT MECHANICALLY PROPELLED, BY COUNTRY,
2020–2024 (USD MILLION) 59
FIGURE 29 IMPORTS OF TRAILERS AND SEMI-TRAILERS; OTHER VEHICLES, NOT MECHANICALLY PROPELLED, BY COUNTRY, 2020–2024 (USD MILLION) 60
FIGURE 30 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 61
FIGURE 31 INVESTMENT AND FUNDING SCENARIO 61
FIGURE 32 LIST OF MAJOR PATENTS 71
FIGURE 33 USE CASES AND MARKET POTENTIAL OF GENERATIVE
AI IN SMART SHOPPING CARTS 74
FIGURE 34 SMART SHOPPING CART MARKET: DECISION-MAKING FACTORS 86
FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR APPLICATION AREAS 87
FIGURE 36 KEY BUYING CRITERIA FOR APPLICATION AREAS 88
FIGURE 37 ADOPTION BARRIERS & INTERNAL CHALLENGES 89
FIGURE 38 RETROFIT KITS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 97
FIGURE 39 SUPERMARKETS SEGMENT TO GROW AT HIGHEST
CAGR DURING FORECAST PERIOD 101
FIGURE 40 DISTRIBUTOR SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 105
FIGURE 41 NORTH AMERICA: MARKET SNAPSHOT 110
FIGURE 42 ASIA PACIFIC: MARKET SNAPSHOT 120
FIGURE 43 SHARES OF LEADING COMPANIES IN SMART SHOPPING CART MARKET, 2025 137
FIGURE 44 SMART SHOPPING CART MARKET: BRAND/PRODUCT COMPARISON 140
FIGURE 45 COMPANY VALUATION, 2025 141
FIGURE 46 FINANCIAL METRICS OF KEY VENDORS, 2025 141
FIGURE 47 SMART SHOPPING CART MARKET: COMPANY EVALUATION MATRIX (MAJOR PLAYERS), 2025 143
FIGURE 48 SMART SHOPPING CART MARKET: COMPANY FOOTPRINT 144
FIGURE 49 AMAZON: COMPANY SNAPSHOT 151
FIGURE 50 CUST2MATE: COMPANY SNAPSHOT 167
MarketsandMarkets（マーケッツアンドマーケッツ）は世界中の企業に高い評価を得ており、著名メディアでの引用頻度も高い、インドの最大手級の市場調査会社です。広範な市場を対象にした市場調査レポートを出版しています。
※MarketsandMarketsの調査レポートはほぼ全タイトルご注文後、最短3時間～12時間以内（営業日基準）にご納品可能です。
ライセンス別価格表
調査会社の事情により予告なしに変更されることがございます。最新の状況およびその他のパターンについてはお問い合わせください。
ライセンスタイプ1
| シングルユーザ | マルチユーザ | コーポレート | エンタープライズサイト |
| USD4,950 | USD6,650 | USD8,150 | USD10,000 |
ライセンスタイプ2
| シングルユーザ | マルチユーザ | コーポレート | エンタープライズサイト |
| USD7,150 | USD8,500 | USD9,650 | USD11,000 |
ライセンスタイプ3
| シングルユーザ | マルチユーザ | コーポレート | エンタープライズサイト |
| USD8,150 | お問合せください | お問合せください | お問合せください |
ライセンスタイプ4
| シングルユーザ | マルチユーザ | コーポレート | エンタープライズサイト |
| USD9,000 | USD10,500 | USD12,000 | USD13,500 |
ミニレポート ※定性調査にフォーカスした調査レポートです。詳細はお問合せください。
| シングルユーザ | コーポレート |
| USD 2,650 | USD 4,250 |
ご購入に関するご案内
価格・納期について
- 価格
- ウェブサイトに記載の外貨（定価）を見積日のTTSレートで換算後消費税を加えた金額が弊社からの請求金額になります。見積金額はレート変動に関係なく見積書発行日より2週間有効です。手数料（ハンドリングチャージ）無料。
- ライセンス
- シングルユーザライセンス
- 1名のみレポートファイルのご利用が可能です。
- マルチユーザライセンス
- 同一企業内（関連会社除く）5名までレポートファイルのご利用が可能です。
- コーポレートライセンス
- 同一企業および100％持株会社間・人数無制限でレポートファイルのご利用が可能です。
- エンタープライズサイトライセンス
- 特別ライセンスです。適用範囲についてはお問合せください。
- シングルユーザライセンス
- 納品形態
- Eメール
- 納期
- 最短3時間以内にご納品可能です。通常ご注文後24時間以内（営業日基準）
ご注文方法
- レポートページ内のお問い合わせフォームより見積もりをご請求ください。確認次第見積書と発注書をお送りいたします。既に弊社の見積書をお持ちの場合にはEメールまたはFAXでご注文ください。
その他
- 商品の性質上、ご注文後のキャンセル/返品/交換はできません。ご了承ください。
株式会社SEMABIZはMarketsandMarketsの日本に拠点をおく販売代理店として、MarketsandMarketsのレポートを販売しております。サンプルページのご依頼、見積り、レポートに関するご質問など購入前のご相談はいつでもお気軽にご連絡ください。
最新調査レポート
- 自動車用アラミド繊維市場規模、シェア、動向、2030年までの世界予測 2025-12-15
- ポリヒドロキシアルカノエート (PHA) 市場規模、シェア、動向、2030年までの世界予測 2025-12-15
- 複合輸送市場規模、シェア、動向、2032年までの世界予測 2025-12-12
- ハイブリッドボンディング市場規模、シェア、動向、2032年までの世界予測 2025-12-11
- 鉄道試験市場規模、シェア、動向、2032年までの世界予測 2025-12-10