製造市場における人工知能 : 2028年までの世界予測

製造業で活用される人工知能の市場規模は2023年中に32億ドル、2028年までに208億ドルに達し、2023年から2028年までに年平均成長率（CAGR）45.6％で成長すると予測されています。

MarketsandMarkets（マーケッツアンドマーケッツ）「製造市場における人工知能 : オファリング (ハードウェア、ソフトウェア、サービス)、テクノロジー (機械学習、自然言語処理)、用途 (予知保全と機械検査、サイバーセキュリティ) – 2028年までの世界予測 – Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Application (Predictive Maintenance & Machinery Inspection, Cybersecurity) – Global Forecast to 2028」は世界の製造業における人工知能市場を調査し、主要セグメント毎の分析・予測結果を提供します。

主な掲載内容

• 市場概観
• オファリング別製造業における人工知能市場
• 技術別製造業における人工知能市場
• 用途別製造業における人工知能市場
• 産業別製造業における人工知能市場
• 地域別製造業における人工知能市場
• 競合環境
• 企業情報
• 関連市場
  • スマート工場市場
  • 産業用センサ
  • 産業用ロボット
  • 産業用3Dプリンタ
  • マシンビジョンシステム
• 付録

Report Overview

The artificial intelligence in manufacturing market is expected to reach USD 20.8 billion by 2028 from USD 3.2 billion in 2023, at a CAGR of 45.6% from 2023–2028. The growth of this market is attributed to the Rising need to handle increasingly large and complex dataset and emerging industrial IoT and automation technologies.

“Machine learning technology segment to dominate the artificial intelligence in manufacrturing market in 2023”
Machine Learning includes various technologies, such as deep learning, supervised learning, unsupervised learning, and reinforcement learning. Machine learning enables systems to improve their performance automatically with experience. Machine Learning helps develop a computer program/algorithm that can access data and use it to train itself without human intervention. The ability of Machine Learning to collect and handle big data and its increasing applications in predictive analytics and machinery inspection, quality control, and cybersecurity are expected to drive the growth of the artificial intelligence in manufacturing market for Machine Learning technology. 

“Quality control segment is projected to grow at a highest CAGR during the forecast period.”
 AI-driven quality control systems empower plant operators to identify deviations in product properties during the manufacturing process. These quality control applications depend on gathering both three-dimensional (3D) and two-dimensional (2D) data through laser-based aggregate scanning systems, which subsequently transform this data into digital images. The core technologies applied in these quality control applications within manufacturing plants encompass machine learning, computer vision, and context-aware computing. This robust quality control framework aids plant operators in validating the product quality, and it finds extensive application in industries such as pharmaceuticals, food and beverages, as well as semiconductors.

“Software segment hold the largest market share during the forecast period”
A computer system needs highly effective and efficient hardware and software to exhibit intelligent capabilities like the human brain.  The growing adoption of AI solutions and platforms in various industries and the widening application scope of AI in the manufacturing sector are the prime factors driving the growth of the artificial intelligence in manufacturing market for the software segment.

“China is to dominate the artificial intelligence in manufacrturing market of Asia Pacific in 2023”
Asia Pacific consists of some of the fastest-growing economies—such as China, Japan, and South Korea. China is a key manufacturing hub in the Asia Pacific region. The country is a major force of artificial intelligence development in Asia Pacific, with strengths in data accessibility and policy support. The manufacturing sector in China is growing rapidly, resulting in the introduction of new robotics and big data technologies. All these factors, coupled with the presence of a large number of manufacturing plants in China, are expected to increase the manufacturing data volume. Moreover, the government of China is undertaking initiatives to encourage the adoption of AI technologies in manufacturing

The break-up of the profiles of primary participants:
• By Company Type – Tier 1 – 55%, Tier 2 – 25%, and Tier 3 – 20%
• By Designation – C-level Executives – 60%, Directors – 20%, and Others – 20%
• By Region – North America – 40%, Europe – 30%, Asia Pacific – 20%, and Rest of the World – 10%
Major players in the artificial intelligence in manufacturing market include Siemens, IBM, Intel Corporation, NVIDIA Corporation, and General Electric and others.

Research Coverage
The report segments the artificial intelligence in manufacturing market by Offering, Technology, Application, Industry, and Region. The report also comprehensively reviews drivers, restraints, opportunities, and challenges influencing market growth. The report also covers qualitative aspects in addition to the quantitative aspects of the market.

Reasons to buy the report:
The report will help the market leaders/new entrants with information on the closest approximate revenues for the overall artificial intelligence in manufacturing market and related segments. This report will help stakeholders understand the competitive landscape and gain more insights to strengthen their position in the market and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, opportunities, and challenges.

The report provides insights on the following pointers:
• Analysis of critical drivers (Rising need to handle increasingly large and complex dataset, emerging industrial IoT and automation technology, surging adoption of AI fuiling growth of semiconductor chipset manufacturing, growing investment propelling growth of start-ups in manufacturing AI space), restraints (Reluctance among manufacturers to adopt AI-based technologies), opportunities (enhance manufacturing efficiency through AI-powered predictive analytics and production planning, application of AI-driven machine learning and NLP for intelligent enterprise processes), and challenges (lack of skilled workforce, especially in developing countries and concerns regarding data privacy and cybersecurity regulations) influencing the growth of the artificial intelligence in manufacturing market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the artificial intelligence in manufacturing market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the artificial intelligence in manufacturing market across various regions.  
• Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the artificial intelligence in manufacturing market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like Siemens (Germany), IBM (US), Intel Corporation (US), NVIDIA Corporation (US), and General Electric Company (US).

Table of Contents

1            INTRODUCTION            36

1.1         STUDY OBJECTIVES      36

1.2         MARKET DEFINITION   36

1.2.1      INCLUSIONS AND EXCLUSIONS 37

1.3         STUDY SCOPE  37

1.3.1      MARKETS COVERED     37

1.3.2      REGIONAL SCOPE         38

1.3.3      YEARS CONSIDERED     38

1.4         CURRENCY CONSIDERED          39

1.5         STAKEHOLDERS            39

1.6         SUMMARY OF CHANGES….        40

1.6.1      RECESSION IMPACT ANALYSIS 40

2            RESEARCH METHODOLOGY     41

2.1         RESEARCH DATA           41

FIGURE 1           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN       41

2.1.1      SECONDARY DATA       42

2.1.1.1   List of major secondary sources       42

2.1.1.2   Key data from secondary sources     43

2.1.2      PRIMARY DATA 43

2.1.2.1   Primary interviews with experts       44

2.1.2.2   Breakdown of primaries     44

2.1.2.3   Key data from primary sources         45

2.1.3      SECONDARY AND PRIMARY RESEARCH 46

2.1.3.1   Key industry insights          47

2.2         MARKET SIZE ESTIMATION       47

2.2.1      BOTTOM-UP APPROACH           47

2.2.1.1   Approach to derive market size using bottom-up analysis           47

FIGURE 2           MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH       48

2.2.2      TOP-DOWN APPROACH             48

2.2.2.1   Approach to derive market size using bottom-up analysis           49

FIGURE 3           MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH       49

FIGURE 4           MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE APPROACH)     49

2.3         MARKET BREAKDOWN AND DATA TRIANGULATION    50

FIGURE 5           DATA TRIANGULATION             50

2.4         RESEARCH ASSUMPTIONS         51

FIGURE 6           ASSUMPTIONS FOR RESEARCH STUDY 51

2.5         PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET       51

2.6         RESEARCH LIMITATIONS           52

2.7         RISK ASSESSMENT         52

FIGURE 7           RISK ASSESSMENT OF RESEARCH STUDY           52

3            EXECUTIVE SUMMARY 53

FIGURE 8           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, 2019−2028 (USD MILLION)        54

FIGURE 9           SOFTWARE OFFERINGS TO CAPTURE LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028        54

FIGURE 10         MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028              55

FIGURE 11         PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023      56

FIGURE 12         AUTOMOTIVE INDUSTRY ACCOUNTED FOR LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022  57

FIGURE 13         ASIA PACIFIC TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DURING FORECAST PERIOD              58

4            PREMIUM INSIGHTS      59

4.1         ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET 59

FIGURE 14         RISING ADOPTION OF IIOT AND AUTOMATION TECHNOLOGY BY MANUFACTURING FIRMS TO DRIVE MARKET GROWTH              59

4.2         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING         60

FIGURE 15         SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023        60

4.3         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 60

FIGURE 16         MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023        60

4.4         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION  61

FIGURE 17         PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023      61

4.5         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY         62

FIGURE 18         AUTOMOTIVE SEGMENT HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC IN 2022      62

4.6         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY         63

FIGURE 19         CHINA TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BETWEEN 2023 AND 2028              63

5            MARKET OVERVIEW     64

5.1         INTRODUCTION            64

5.2         MARKET DYNAMICS     65

FIGURE 20         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS        65

5.2.1      DRIVERS            65

5.2.1.1   Pressing need to handle large and complex datasets effectively  65

5.2.1.2   Rising adoption of IIoT and automation technologies by manufacturing firms              66

5.2.1.3   Thriving semiconductor chipset industry due to increasing adoption of AI technology           66

5.2.1.4   Growing venture capital and seed funding opportunities for startups entering in AI-driven manufacturing   67

FIGURE 21         IMPACT ANALYSIS OF DRIVERS 67

5.2.2      RESTRAINTS     68

5.2.2.1   Reluctance among manufacturers to adopt AI-based technologies            68

FIGURE 22         IMPACT ANALYSIS OF RESTRAINTS       68

5.2.3      OPPORTUNITIES           68

5.2.3.1   Utilization of AI-powered predictive analytics and production planning apps to enhance manufacturing efficiency    68

5.2.3.2   Execution of ML and NLP to automate and upgrade business processes  69

FIGURE 23         IMPACT ANALYSIS OF OPPORTUNITIES             69

5.2.4      CHALLENGES   69

5.2.4.1   Shortage of skilled workforce, especially in developing countries 69

5.2.4.2   Concerns regarding data privacy and stringent data security regulations  70

FIGURE 24         IMPACT ANALYSIS OF CHALLENGES     70

5.3         VALUE CHAIN ANALYSIS            70

FIGURE 25         ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS           71

5.4         ECOSYSTEM MAPPING 72

FIGURE 26         ECOSYSTEM ANALYSIS 72

TABLE 1             ROLE OF MAJOR COMPANIES IN ECOSYSTEM   73

5.5         TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS       74

FIGURE 27         TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS              74

5.6         PORTER’S FIVE FORCES ANALYSIS         74

FIGURE 28         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PORTER’S FIVE FORCES ANALYSIS         75

TABLE 2             IMPACT OF EACH FORCE ON AI IN MANUFACTURING MARKET              75

5.6.1      BARGAINING POWER OF SUPPLIERS     76

5.6.2      BARGAINING POWER OF BUYERS           76

5.6.3      THREAT OF NEW ENTRANTS    76

5.6.4      THREAT OF SUBSTITUTES         76

5.6.5      INTENSITY OF COMPETITIVE RIVALRY 76

5.7         CASE STUDY ANALYSIS 76

TABLE 3             SIEMENS GAMESA DEPLOYED AI SOLUTION TO ACCELERATE INSPECTION SPEED OF TURBINE BLADES          76

TABLE 4             VOLVO ADOPTED MACHINE LEARNING-DRIVEN DATA ANALYTICS TO PREDICT VEHICLE BREAKDOWN AND IMPROVE SERVICE              77

TABLE 5             ROLLS-ROYCE CHOSE MICROSOFT CORTANA TO SCHEDULE MAINTENANCE PLANS AND REDUCE OPERATIONAL DISRUPTIONS      77

TABLE 6             PAPER PACKAGING FIRM IMPLEMENTED EMA APPLICATION SUITE TO IMPROVE PRODUCTION PROCESS AND DIAGNOSE QUALITY ISSUES              77

5.8         TECHNOLOGY ANALYSIS           78

5.9         PRICING ANALYSIS        78

5.9.1      AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS              78

FIGURE 29         AVERAGE SELLING PRICE OF KEY PLAYERS, BY PROCESSOR TYPE    79

TABLE 7             AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE         79

5.9.2      AVERAGE SELLING PRICE TREND OF PROCESSORS, BY TYPE     79

TABLE 8             AVERAGE SELLING PRICE OF PROCESSORS, 2022 (USD) 79

TABLE 9             AVERAGE SELLING PRICE OF PROCESSORS USED IN AI-BASED MANUFACTURING, BY REGION, 2022     80

FIGURE 30         AVERAGE SELLING PRICE OF PROCESSORS, 2019–2028 (USD)              80

5.10       TRADE ANALYSIS          81

5.10.1    IMPORT SCENARIO       81

FIGURE 31         IMPORT VALUES, BY KEY COUNTRY, 2018–2022 (USD MILLION)              81

5.10.2    EXPORT SCENARIO       82

FIGURE 32         EXPORT VALUES, BY KEY COUNTRY, 2018–2022 (USD MILLION)              82

5.11       PATENT ANALYSIS        83

FIGURE 33         TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS          83

TABLE 10           TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS          83

FIGURE 34         NUMBER OF PATENTS GRANTED PER YEAR FROM 2013 TO 2022              84

TABLE 11           RECENT PATENTS RELATED TO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET      84

5.12       KEY STAKEHOLDERS AND BUYING CRITERIA    88

5.12.1    KEY STAKEHOLDERS IN BUYING PROCESS         88

FIGURE 35         INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS   88

TABLE 12           INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)          88

5.12.2    BUYING CRITERIA         89

FIGURE 36         KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS         89

TABLE 13           KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS         89

5.13       KEY CONFERENCES AND EVENTS, 2023–2025     90

TABLE 14           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: CONFERENCES AND EVENTS    90

5.14       REGULATORY LANDSCAPE       91

5.14.1    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS          91

TABLE 15           NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         91

TABLE 16           EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         91

TABLE 17           ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         92

TABLE 18           ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS         92

5.14.2    STANDARDS IN ITS/C-ITS          93

TABLE 19           SECURITY AND PRIVACY STANDARDS DEVELOPED BY EUROPEAN TELECOMMUNICATION STANDARDS INSTITUTE (ETSI)     93

6            ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING         94

6.1         INTRODUCTION            95

FIGURE 37         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING         95

FIGURE 38         SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028        96

TABLE 20           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2019–2022 (USD MILLION)   96

TABLE 21           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2023–2028 (USD MILLION)   97

6.2         HARDWARE      97

TABLE 22           HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)    98

TABLE 23           HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)    98

6.2.1      PROCESSORS    98

6.2.1.1   Robust parallel processing capabilities of processors to foster adoption in AI applications         98

6.2.1.1.1 Microprocessor units (MPUs)         99

6.2.1.1.2 Graphics processing units (GPUs)   99

6.2.1.1.3 Field programmable gate array (FPGA)         99

6.2.1.1.4 Application-specific integrated circuits (ASICs)           99

6.2.2      MEMORY DEVICES        100

6.2.2.1   High demand for high-bandwidth memory devices to drive market          100

6.2.3      NETWORK DEVICES      100

6.2.3.1   Increased implementation of Ethernet adaptors and interconnects to create opportunities for network device providers    100

6.3         SOFTWARE       101

TABLE 24           SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)    101

TABLE 25           SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)    101

6.3.1      AI SOLUTIONS  102

6.3.1.1   Rising use of nonprocedural languages to develop AI solutions to boost segmental growth   102

TABLE 26           AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)          102

TABLE 27           AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)          102

6.3.1.2   On-premises        102

6.3.1.2.1 Greater flexibility and control offered by on-premises AI solutions to fuel segmental growth 102

6.3.1.3   Cloud    103

6.3.1.3.1 Reduced operational costs, hassle-free deployment, and high scalability provided by cloud deployment model to drive segmental growth 103

6.3.2      AI PLATFORMS 103

6.3.2.1   Increasing adoption of AI platforms to develop learning algorithms and intelligent applications to support segmental growth      103

TABLE 28           AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2019–2022 (USD MILLION)              104

TABLE 29           AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2023–2028 (USD MILLION)              104

6.3.2.2   Machine learning framework           104

6.3.2.3   Application program interface (API)             105

6.4         SERVICES          105

TABLE 30           SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)    105

TABLE 31           SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)    105

6.4.1      DEPLOYMENT & INTEGRATION             106

6.4.1.1   Growing demand for deployment and integration services while configuring AI systems in manufacturing sector to drive market          106

6.4.2      SUPPORT & MAINTENANCE      106

6.4.2.1   Increasing demand for support & maintenance services to keep systems at acceptable standards to fuel market growth    106

7            ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 107

7.1         INTRODUCTION            108

FIGURE 39         MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING IN 2028     108

TABLE 32           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)          109

TABLE 33           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)          109

7.2         MACHINE LEARNING    109

7.2.1      ADVANCEMENTS IN DEEP LEARNING, SUPERVISED LEARNING, AND REINFORCEMENT LEARNING TECHNOLOGIES TO DRIVE MARKET        109

TABLE 34           MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)           110

TABLE 35           MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)           110

TABLE 36           MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)              111

TABLE 37           MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)              111

7.2.2      DEEP LEARNING            112

7.2.2.1   Growing penetration of IoT, automation, and machine vision technologies in manufacturing plants to drive market             112

7.2.3      SUPERVISED LEARNING             113

7.2.3.1   Image recognition, facial recognition, and predictive analytics to contribute to market growth     113

7.2.4      REINFORCEMENT LEARNING   113

7.2.4.1   Potential to automatically determine context-specific ideal behavior to maximize performance to drive market            113

7.2.5      UNSUPERVISED LEARNING       113

7.2.5.1   Use of algorithms to find hidden data patterns or groupings in large datasets to boost adoption of unsupervised learning technology    113

7.2.6      OTHER TECHNOLOGY TYPES   114

7.3         NATURAL LANGUAGE PROCESSING      114

7.3.1      RISING USE OF NLP-DRIVEN TOOLS TO AUTOMATE COMPLEX BUSINESS PROCESSES TO DRIVE MARKET          114

TABLE 38           NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 115

TABLE 39           NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 115

7.4         CONTEXT-AWARE COMPUTING             116

7.4.1      INCREASING FOCUS ON MAKING REAL-TIME DECISIONS TO ENHANCE QUALITY, SAFETY, AND PRODUCTIVITY TO BOOST DEMAND IN MANUFACTURING SECTOR       116

TABLE 40           CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)      116

TABLE 41           CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)      117

TABLE 42           CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)              117

TABLE 43           CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)              118

7.5         COMPUTER VISION       118

7.5.1      INTEGRATION OF COMPUTER VISION TECHNOLOGY TO ANALYZE 3D OBJECTS AND MINIMIZE MATERIAL WASTE TO DRIVE MARKET             118

TABLE 44           COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)              119

TABLE 45           COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)              119

8            ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION  120

8.1         INTRODUCTION            121

FIGURE 40         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION  121

FIGURE 41         PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 121

TABLE 46           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)           122

TABLE 47           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)           122

8.2         INVENTORY OPTIMIZATION     123

8.2.1      GROWING IMPLEMENTATION OF AI IN MANUFACTURING SECTOR TO ACHIEVE COST-EFFICIENCY AND ENSURE TIMELY PRODUCT DELIVERY TO DRIVE MARKET 123

TABLE 48           INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              123

TABLE 49           INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              124

TABLE 50           INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      124

TABLE 51           INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      124

8.3         PREDICTIVE MAINTENANCE & MACHINERY INSPECTION          125

8.3.1      INCREASING ADOPTION OF LEARNING TECHNOLOGY TO PREVENT UNEXPECTED DOWNTIME DUE TO MACHINE FAILURE TO FUEL MARKET GROWTH          125

FIGURE 42         MACHINE LEARNING TECHNOLOGY TO DOMINATE MARKET FOR PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS DURING FORECAST PERIOD     126

TABLE 52           PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)          126

TABLE 53           PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2023–2028 (USD MILLION)     127

TABLE 54           PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)     127

TABLE 55           PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)     127

8.4         PRODUCTION PLANNING          128

8.4.1      RISING USE OF BIG DATA ANALYTICS IN PRODUCTION PLANNING TO FOSTER MARKET GROWTH       128

TABLE 56           PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              128

TABLE 57           PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              129

TABLE 58           PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      129

TABLE 59           PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      129

8.5         FIELD SERVICES             130

8.5.1      SURGING USE OF AI-POWERED SOLUTIONS IN FIELD SERVICES OFFERED TO OIL & GAS AND ENERGY & POWER INDUSTRY PLAYERS TO SUPPORT MARKET GROWTH    130

TABLE 60           FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              130

TABLE 61           FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              130

TABLE 62           FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      131

TABLE 63           FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      131

8.6         RECLAMATION 131

8.6.1      ELEVATING DEMAND FOR COMPUTER VISION TECHNOLOGY TO IDENTIFY AND SORT RECYCLABLE MATERIALS TO DRIVE MARKET       131

TABLE 64           RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              132

TABLE 65           RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              132

TABLE 66           RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      132

TABLE 67           RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      133

8.7         QUALITY CONTROL      133

8.7.1      GROWING USE OF AI-POWERED QUALITY CONTROL SYSTEMS BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO ACCELERATE MARKET GROWTH        133

TABLE 68           QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              134

TABLE 69           QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              134

TABLE 70           QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      134

TABLE 71           QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      135

8.8         CYBERSECURITY           135

8.8.1      HIGH EMPHASIS OF AUTOMATED PLANTS ON AVOIDING DATA BREACHES TO BOOST DEMAND FOR AI-DRIVEN CYBERSECURITY SOLUTIONS              135

TABLE 72           CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              136

TABLE 73           CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              136

FIGURE 43         ASIA PACIFIC TO HOLD LARGEST MARKET SHARE FOR CYBERSECURITY APPLICATIONS IN 2023            137

TABLE 74           CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      137

TABLE 75           CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      138

8.9         INDUSTRIAL ROBOTS   138

8.9.1      SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO IMPROVE PRODUCTION AND EFFICIENCY TO DRIVE MARKET 138

TABLE 76           INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)              138

TABLE 77           INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)              139

TABLE 78           INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      139

TABLE 79           INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      139

9            ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY         140

9.1         INTRODUCTION            141

FIGURE 44         AUTOMOTIVE INDUSTRY HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023        141

TABLE 80           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)   142

TABLE 81           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)   142

9.2         AUTOMOTIVE  143

9.2.1      INCREASING ADOPTION OF ML AND COMPUTER VISION TECHNOLOGIES TO ENSURE FLAWLESS PRODUCTION OF VEHICLE PARTS TO DRIVE MARKET 143

TABLE 82           AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      143

FIGURE 45         ASIA PACIFIC TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR AUTOMOTIVE INDUSTRY IN 2028 144

TABLE 83           AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      144

9.3         ENERGY & POWER         144

9.3.1      GROWING IMPLEMENTATION OF AI TO MINIMIZE ENERGY WASTE AND REDUCE ENERGY COSTS TO BOOST SEGMENTAL GROWTH           144

TABLE 84           ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      145

TABLE 85           ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      146

9.4         PHARMACEUTICALS     146

9.4.1      RISING USE OF AI IN QUALITY CONTROL AND PRODUCTION PLANNING APPLICATIONS TO STIMULATE MARKET GROWTH 146

TABLE 86           PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      146

FIGURE 46         NORTH AMERICA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY IN 2028         147

TABLE 87           PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      147

9.5         METALS & HEAVY MACHINERY 147

9.5.1      INCREASED USE OF ROBOTICS IN METALS & HEAVY MACHINERY INDUSTRY TO AVOID UNPLANNED DOWNTIME AND WASTAGE TO DRIVE MARKET            147

TABLE 88           METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      148

TABLE 89           METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      149

9.6         SEMICONDUCTOR & ELECTRONICS      149

9.6.1      SURGING FOCUS ON DEVELOPING MINIATURE SEMICONDUCTOR AND ELECTRONICS EQUIPMENT TO BOOST ADOPTION OF AI-BASED INDUSTRIAL ROBOTS   149

TABLE 90           SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)          150

TABLE 91           SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)          150

9.7         FOOD & BEVERAGES     150

9.7.1      GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH   150

TABLE 92           FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      151

TABLE 93           FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      151

9.8         OTHER INDUSTRIES      152

TABLE 94           OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)      152

TABLE 95           OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)      153

10          ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION             154

10.1       INTRODUCTION            155

FIGURE 47         CHINA, SOUTH KOREA, UK, AND US TO BE HOTSPOTS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET       155

FIGURE 48         ASIA PACIFIC TO DOMINATE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET THROUGHOUT FORECAST PERIOD            156

TABLE 96           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)       156

TABLE 97           ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)       157

10.2       NORTH AMERICA          157

10.2.1    NORTH AMERICA: RECESSION IMPACT 157

FIGURE 49         SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA           158

TABLE 98           NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019–2022 (USD MILLION)  159

TABLE 99           NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023–2028 (USD MILLION)  159

TABLE 100         NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)  160

TABLE 101         NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)  160

10.2.2    US         161

10.2.2.1 Rising adoption of industrial robots due to shortage of skilled workforce to drive market   161

10.2.3    CANADA            161

10.2.3.1 Increasing investments by SMEs in IoT to boost demand for AI-based solutions              161

10.2.4    MEXICO             162

10.2.4.1 Surging foreign direct investments in AI and robotics to support market growth              162

10.3       EUROPE             162

10.3.1    EUROPE: RECESSION IMPACT   162

FIGURE 50         SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE             163

TABLE 102         EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019–2022 (USD MILLION)         164

TABLE 103         EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023–2028 (USD MILLION)         164

FIGURE 51         GERMANY HELD LARGEST SHARE OF EUROPEAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022 165

TABLE 104         EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)        165

TABLE 105         EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)        166

10.3.2    GERMANY         166

10.3.2.1 High adoption of computer vision systems to get real-time manufacturing data to fuel market growth             166

10.3.3    UK         167

10.3.3.1 Increasing investment by government in robotics and AI technologies to foster market growth     167

10.3.4    FRANCE             167

10.3.4.1 Rising adoption of AI by manufacturing firms to fuel market growth        167

10.3.5    REST OF EUROPE           168

10.4       ASIA PACIFIC    169

FIGURE 52         SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC     170

TABLE 106         ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019–2022 (USD MILLION)  171

TABLE 107         ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023–2028 (USD MILLION)  171

TABLE 108         ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)  172

TABLE 109         ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)  172

10.4.1    CHINA  173

10.4.1.1 Strategic planning to achieve Next Generation AI goal by 2030 to boost demand for AI technology by manufacturing firms      173

10.4.2    JAPAN  173

10.4.2.1 Strong presence of top-tier IT, machinery, and automobile manufacturing firms to support market growth   173

10.4.3    SOUTH KOREA 174

10.4.3.1 Presence of massive computing data centers for AI research to contribute to market growth     174

10.4.4    REST OF ASIA PACIFIC  174

10.5       ROW     175

TABLE 110         ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)            175

TABLE 111         ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)            175

TABLE 112         ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)        176

TABLE 113         ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)        176

10.5.1    SOUTH AMERICA           177

10.5.1.1 Increased investments in IT infrastructure development to fuel market growth              177

10.5.2    MIDDLE EAST & AFRICA             177

10.5.2.1 Increasing deployment of cloud-based cognitive computing in manufacturing sector to drive market        177

11          COMPETITIVE LANDSCAPE       178

11.1       INTRODUCTION            178

11.2       MAJOR STRATEGIES ADOPTED BY KEY PLAYERS            178

TABLE 114         OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET       178

11.3       REVENUE ANALYSIS OF TOP 5 PLAYERS             179

FIGURE 53         FIVE-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET       179

11.4       MARKET SHARE ANALYSIS         180

TABLE 115         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2022  180

FIGURE 54         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY COMPANY, 2022        180

11.5       COMPANY EVALUATION MATRIX, 2022 182

11.5.1    STARS  182

11.5.2    PERVASIVE PLAYERS     182

11.5.3    EMERGING LEADERS    182

11.5.4    PARTICIPANTS 182

FIGURE 55         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2022         183

11.6       ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT      184

11.6.1    COMPANY FOOTPRINT OF TOP PLAYERS          184

TABLE 116         APPLICATION AND REGIONAL FOOTPRINT OF TOP COMPANIES      184

TABLE 117         APPLICATION FOOTPRINT OF KEY COMPANIES             185

TABLE 118         OFFERING FOOTPRINT OF KEY COMPANIES     186

TABLE 119         REGIONAL FOOTPRINT OF KEY COMPANIES     187

11.7       SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022    188

11.7.1    PROGRESSIVE COMPANIES       188

11.7.2    RESPONSIVE COMPANIES          188

11.7.3    DYNAMIC COMPANIES 188

11.7.4    STARTING BLOCKS       188

FIGURE 56         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) SME EVALUATION MATRIX, 2022       189

11.8       COMPETITIVE BENCHMARKING            190

TABLE 120         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: LIST OF KEY STARTUPS/SMES  190

TABLE 121         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES         191

11.9       COMPETITIVE SITUATIONS AND TRENDS         193

TABLE 122         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PRODUCT LAUNCHES, 2021–2023           193

TABLE 123         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: DEALS, 2021–2023           198

TABLE 124         ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OTHERS, 2021–2023        202

12          COMPANY PROFILES    203

(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*

12.1       KEY PLAYERS   203

12.1.1    NVIDIA CORPORATION 203

TABLE 125         NVIDIA CORPORATION: COMPANY OVERVIEW 203

FIGURE 57         NVIDIA CORPORATION: COMPANY SNAPSHOT 204

TABLE 126         NVIDIA CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS       204

TABLE 127         NVIDIA CORPORATION: PRODUCT LAUNCHES 205

TABLE 128         NVIDIA CORPORATION: DEALS 207

12.1.2    IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION)  209

TABLE 129         IBM: COMPANY OVERVIEW       209

FIGURE 58         IBM: COMPANY SNAPSHOT       210

TABLE 130         IBM: PRODUCT/SOLUTION/SERVICE OFFERINGS          211

TABLE 131         IBM: PRODUCT LAUNCHES       211

TABLE 132         IBM: DEALS       213

12.1.3    INTEL CORPORATION  215

TABLE 133         INTEL CORPORATION: COMPANY OVERVIEW  215

FIGURE 59         INTEL CORPORATION: COMPANY SNAPSHOT  216

TABLE 134         INTEL CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS       216

TABLE 135         INTEL CORPORATION: PRODUCT LAUNCHES  217

TABLE 136         INTEL CORPORATION: DEALS  218

12.1.4    SIEMENS            220

TABLE 137         SIEMENS: COMPANY OVERVIEW            220

FIGURE 60         SIEMENS: COMPANY SNAPSHOT            221

TABLE 138         SIEMENS: PRODUCT/SOLUTION/SERVICE OFFERINGS  221

TABLE 139         SIEMENS: PRODUCT LAUNCHES            222

TABLE 140         SIEMENS: DEALS            224

12.1.5    GENERAL ELECTRIC     226

TABLE 141         GENERAL ELECTRIC: COMPANY OVERVIEW      226

FIGURE 61         GENERAL ELECTRIC: COMPANY SNAPSHOT      227

TABLE 142         GENERAL ELECTRIC: PRODUCT/SOLUTION/SERVICE OFFERINGS       227

TABLE 143         GENERAL ELECTRIC: PRODUCT LAUNCHES      228

TABLE 144         GENERAL ELECTRIC: DEALS     229

12.1.6    GOOGLE LLC   231

TABLE 145         GOOGLE LLC: COMPANY OVERVIEW    231

FIGURE 62         GOOGLE LLC: COMPANY SNAPSHOT    232

TABLE 146         GOOGLE LLC: PRODUCT/SOLUTION/SERVICE OFFERINGS              232

TABLE 147         GOOGLE LLC: PRODUCT LAUNCHES    233

TABLE 148         GOOGLE LLC: DEALS    234

12.1.7    MICROSOFT      235

TABLE 149         MICROSOFT: COMPANY OVERVIEW      235

FIGURE 63         MICROSOFT: COMPANY SNAPSHOT      236

TABLE 150         MICROSOFT: PRODUCT/SOLUTION/SERVICE OFFERINGS              237

TABLE 151         MICROSOFT: PRODUCT LAUNCHES      237

TABLE 152         MICROSOFT: DEALS      238

12.1.8    MICRON TECHNOLOGY, INC.    240

TABLE 153         MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW    240

FIGURE 64         MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT    241

TABLE 154         MICRON TECHNOLOGY, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS       242

TABLE 155         MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES    242

TABLE 156         MICRON TECHNOLOGY: DEALS             244

TABLE 157         MICRON TECHNOLOGY, INC.: OTHERS 245

12.1.9    AMAZON WEB SERVICES, INC. (AWS)     246

TABLE 158         AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW   246

FIGURE 65         AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT   246

TABLE 159         AMAZON WEB SERVICES, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS       247

TABLE 160         AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES   247

TABLE 161         AMAZON WEB SERVICES, INC.: DEALS   248

12.1.10  SIGHT MACHINE            249

TABLE 162         SIGHT MACHINE: COMPANY OVERVIEW            249

TABLE 163         SIGHT MACHINE: PRODUCT/SOLUTION/SERVICE OFFERINGS              249

TABLE 164         SIGHT MACHINE: PRODUCT LAUNCHES            250

TABLE 165         SIGHT MACHINE: DEALS            251

12.2       OTHER PLAYERS           252

12.2.1    PROGRESS SOFTWARE CORPORATION (DATARPM)      252

TABLE 166         PROGRESS SOFTWARE CORPORATION (DATARPM): COMPANY OVERVIEW  252

12.2.2    AIBRAIN INC.    253

TABLE 167         AIBRAIN INC.: COMPANY OVERVIEW     253

12.2.3    GENERAL VISION INC.   254

TABLE 168         GENERAL VISION INC.: COMPANY OVERVIEW   254

12.2.4    ROCKWELL AUTOMATION        255

TABLE 169         ROCKWELL AUTOMATION: COMPANY OVERVIEW        255

12.2.5    CISCO SYSTEMS, INC.    256

TABLE 170         CISCO SYSTEMS, INC.: COMPANY OVERVIEW    256

12.2.6    MITSUBISHI ELECTRIC CORPORATION 257

TABLE 171         MITSUBISHI ELECTRIC CORPORATION: COMPANY OVERVIEW              257

12.2.7    ORACLE             258

TABLE 172         ORACLE: COMPANY OVERVIEW             258

12.2.8    SAP       259

TABLE 173         SAP: COMPANY OVERVIEW       259

12.2.9    VICARIOUS        260

TABLE 174         VICARIOUS: COMPANY OVERVIEW        260

12.2.10  UBTECH ROBOTICS CORP LTD 260

TABLE 175         UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW 260

12.2.11  AQUANT            261

TABLE 176         AQUANT: COMPANY OVERVIEW            261

12.2.12  BRIGHT MACHINES, INC.            261

TABLE 177         BRIGHT MACHINES, INC.: COMPANY OVERVIEW            261

12.2.13  RETHINK ROBOTICS GMBH       262

TABLE 178         RETHINK ROBOTICS GMBH: COMPANY OVERVIEW       262

12.2.14  SPARKCOGNITION        262

TABLE 179         SPARKCOGNITION: COMPANY OVERVIEW         262

12.2.15  FLUTURA          263

TABLE 180         FLUTURA: COMPANY OVERVIEW           263

*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.

13          ADJACENT MARKET      264

13.1       SMART FACTORY MARKET        264

13.2       INTRODUCTION            264

FIGURE 66         SMART FACTORY MARKET, BY COMPONENT    264

FIGURE 67         INDUSTRIAL SENSORS TO HOLD LARGEST SHARE OF SMART FACTORY MARKET FOR COMPONENTS IN 2027 265

TABLE 181         SMART FACTORY MARKET, BY COMPONENT, 2018–2021 (USD MILLION)          265

TABLE 182         SMART FACTORY MARKET, BY COMPONENT, 2022–2027 (USD MILLION)          265

13.3       INDUSTRIAL SENSORS  266

TABLE 183         INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2018–2021 (USD MILLION)             267

TABLE 184         INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2022–2027 (USD MILLION)             267

TABLE 185         INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2018–2021 (MILLION UNITS)          267

TABLE 186         INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2022–2027 (MILLION UNITS)          268

TABLE 187        INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)          268

TABLE 188        INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)          268

13.3.1    LEVEL SENSORS             268

13.3.1.1 Rising demand for level sensors to detect and measure levels of liquids, bulk solids, and other fluids to drive market       268

13.3.2    TEMPERATURE SENSORS           269

13.3.2.1 Increasing use of temperature sensors in chemicals, energy & power, and oil & gas vertical to support market growth    269

13.3.3    FLOW SENSORS 269

13.3.3.1 Rising adoption of flow sensors to measure rate of fluid flow either directly or inferentially to fuel market growth   269

13.3.4    POSITION SENSORS      269

13.3.4.1 Increasing application areas of position sensors increasing with technological advancements to drive market          269

13.3.5    PRESSURE SENSORS      269

13.3.5.1 Growing adoption of pressure sensors in semiconductor processing, robotics, and test & measurement in industrial applications to contribute to market growth        269

13.3.6    FORCE SENSORS            270

13.3.6.1 Rising use of force sensors to ensure safe robot and human interaction to drive market   270

13.3.7    HUMIDITY & MOISTURE SENSORS         270

13.3.7.1 Extensive use of humidity and moisture sensors in chemicals, pharmaceuticals, oil & gas, and food & beverages verticals to drive market  270

13.3.8    IMAGE SENSORS            270

13.3.8.1 Increasing adoption of image sensors to convert optical images into electronic signals to support market growth     270

13.3.9    GAS SENSORS   271

13.3.9.1 Surging adoption of gas sensors to measure concentration of different gases in air to contribute to market growth        271

13.4       INDUSTRIAL ROBOTS   271

TABLE 189         INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018–2021 (USD MILLION)          271

TABLE 190         INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022–2027 (USD MILLION)          271

TABLE 191         INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018–2021 (THOUSAND UNITS) 272

TABLE 192         INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022–2027 (THOUSAND UNITS) 272

TABLE 193         INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)          272

TABLE 194         INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)          272

13.4.1    TRADITIONAL INDUSTRIAL ROBOTS    273

13.4.1.1 Articulated robots 273

13.4.1.1.1            Growing use of articulated robots in assembly and welding to drive segmental growth 273

13.4.1.2 Cartesian robots  273

13.4.1.2.1            Potential to carry heavy loads to boost demand for cartesian robots in industrial applications        273

13.4.1.3 Selective compliance assembly robot arm (SCARA) robots        274

13.4.1.3.1            Growing utilization of SCARA robots in welding and spray-painting operations to fuel market growth      274

13.4.1.4 Cylindrical robots 274

13.4.1.4.1            Suitability of cylindrical robots for pick and place operations to drive market   274

13.4.1.5 Other robots        274

13.4.2    COLLABORATIVE ROBOTS        274

13.4.2.1 Highest adoption rate of collaborative robots in industrial applications to drive market   274

13.5       INDUSTRIAL 3D PRINTERS        275

13.5.1    RISING ADOPTION OF INDUSTRIAL PRINTERS TO CONSTRUCT THREE-DIMENSIONAL SOLID OBJECTS TO DRIVE MARKET       275

TABLE 195         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2018–2021 (USD MILLION)   275

TABLE 196         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2022–2027 (USD MILLION)   276

TABLE 197         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2018–2021 (MILLION UNITS)  276

TABLE 198         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2022–2027 (MILLION UNITS)  276

TABLE 199         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2018–2021 (USD MILLION)      276

TABLE 200         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2022–2027 (USD MILLION)      277

TABLE 201         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)       277

TABLE 202         INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)       277

13.6       MACHINE VISION SYSTEMS       278

TABLE 203         MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2018–2021 (USD MILLION)   278

TABLE 204         MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2022–2027 (USD MILLION)   278

TABLE 205         MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2018–2021 (USD MILLION)           279

TABLE 206         MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2022–2027 (USD MILLION)           279

TABLE 207         MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)       279

TABLE 208         MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)       279

13.6.1    CAMERAS          280

13.6.1.1 Rising need for high-quality images to boost demand for smart cameras  280

13.6.2    FRAME GRABBERS, OPTICS, AND LED LIGHTING           280

13.6.2.1 Influence of position and quality of other key components, such as LEDs and frame grabbers, on image quality to lead to high demand       280

13.6.3    PROCESSORS AND SOFTWARE 281

13.6.3.1 Growing integration of processors and software in machine vision systems to drive market   281

14          APPENDIX         282

14.1       INSIGHTS FROM INDUSTRY EXPERTS   282

14.2       DISCUSSION GUIDE      283

14.3       KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL             286

14.4       CUSTOMIZATION OPTIONS      288

14.5       RELATED REPORTS       288

14.6       AUTHOR DETAILS         289