제조 시장의 인공 지능 (Artificial Intelligence in Manufacturing) 조사보고서

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