Summary

The global AI vision market is expected to reach USD 43.02 billion in 2029 from USD 14.85 billion in 2024, at a CAGR of 23.7% during the forecast period. The AI vision market is experiencing accelerated growth due to the high adoption of cloud computing, machine learning (ML), and deep learning (DL). Advancements in edge computing boost the demand for real-time analytics in the automotive and manufacturing sectors. However, the market faces challenges from legal as well as reputational risks and the quality of data that is required to produce a guaranteed level of accuracy. As such, the integration of AI into the next-generation vision solution is driving the market forward with some new opportunities that have emerged across various industries, such as retail, manufacturing, and healthcare.

“Healthcare vertical segment is expected to dominate during the forecast period.”
The healthcare vertical is expected to dominate the AI vision market. This segment has the highest impact on medical diagnostics and patient care. AI vision influences the healthcare vertical by providing all-around diagnosis accuracy, individualized treatment plans, support for continuous patient monitoring, and faster decision-making. It improves efficiency and reduces hospital costs. As medical professionals increasingly rely on AI vision for critical tasks like cancer detection and surgery assistance, the demand for these technologies will continue to grow.

“Vision software segment is expected to grow at second highest CAGR in AI vision market.”
The vision software segment has the second-highest growth rate in the AI vision market. Vision software is expected to experience substantial growth as it addresses the rising demand for scalable and efficient AI solutions across various verticals, such as healthcare, manufacturing, retail, and others. With continuous advancements in artificial intelligence and machine learning, these tools are becoming indispensable for tasks such as customer tracking in retail and enhancing operational efficiency in manufacturing. As organizations increasingly aim to utilize visual data for strategic decision-making, the adoption of vision software will continue to expand, solidifying its role as a vital component of the AI vision market.


“North America is projected to hold the second largest market share in the AI vision market.”
North American region will hold the second largest share in the AI vision market during the forecast period. With increased technological advancements and substantial adoption in the healthcare, manufacturing, and retail industries, North America ranks as the second-largest AI vision market. Major technology companies such as Microsoft Corporation (US), NVIDIA Corporation (US), and Alphabet, Inc (US) are driving the market. At the same time, government funding for research and development in AI takes on the added support provided to this industry. Canada's focus on improving its computing infrastructure and responsible AI research capability also adds to the region's strength. Mexico is continually trying to upgrade its infrastructure and support businesses involved in AI. All these combined factors strengthen a dynamic environment that promotes innovation and ensures the integration of AI vision solutions across North America.

• By Company Type: Tier 1 – 25%, Tier 2 – 40%, and Tier 3 – 35%
• By Designation: C-level Executives – 28%, Directors – 30%, and Others – 42%
• By Region: North America– 37%, Europe – 15%, Asia Pacific– 43% and RoW- 5%

NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), STMicroelectronics (Switzerland) are some of the key players in the AI vision market.

The study includes an in-depth competitive analysis of these key players in the AI vision market, as well as their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the AI vision market by offering (Vision Software, Vision Platforms, and Custom Solutions), by service type (Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, and Heatmap Analysis), by technology (Machine Learning (Deep Learning, and Convolutional Neural Networks), and Generative AI), by mode of operation (Edge Inferencing and Cloud-based Learning), by vertical (Transportation & Logistics, Retail, Healthcare, Manufacturing, Agriculture, Oil & Gas, Construction, and Other Verticals (Telecommunications, Automotive, Energy & Power, and Robotics)), and by region (North America, Europe, Asia Pacific, and RoW). The report's scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI vision market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; new product & service launches, mergers and acquisitions; and recent developments associated with the AI vision market. This report covers the competitive analysis of upcoming startups in the AI vision market ecosystem.

Reasons to buy this report

The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall AI vision market and its subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:
• Analysis of key drivers (growing inclination toward cloud computing, integration of ML and DL technologies into next-generation vision solutions, increasing adoption of edge computing, surging need for real-time analytics across automotive and manufacturing sectors), restraints (legal and reputational risks, dependence on high-quality data for accurate results), opportunities (rapid innovations in healthcare, growing demand for optical character recognition technology from AI vision system providers, increasing number of smart city projects), and challenges (complexities associated with maintenance and upgrades, high data storage and management costs, training AI vision models effectively for optimal performance) influencing the growth of the AI vision market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI vision market
• Market Development: The report provides comprehensive information about lucrative markets and analyses the AI vision market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI vision market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the AI vision market, such as NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), and STMicroelectronics (Switzerland), among others in the AI vision market.

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Table of Contents

1 INTRODUCTION 23
1.1 STUDY OBJECTIVES 23
1.2 MARKET DEFINITION 23
1.3 STUDY SCOPE 24
1.3.1 INCLUSIONS AND EXCLUSIONS 24
1.3.2 MARKETS COVERED AND REGIONAL SCOPE 25
1.3.3 YEARS CONSIDERED 25
1.4 CURRENCY CONSIDERED 26
1.5 LIMITATIONS 26
1.6 MARKET STAKEHOLDERS 26
2 RESEARCH METHODOLOGY 27
2.1 RESEARCH DATA 27
2.1.1 SECONDARY DATA 28
2.1.1.1 List of major secondary sources 28
2.1.1.2 Key data from secondary sources 28
2.1.2 PRIMARY DATA 29
2.1.2.1 Key data from primary sources 29
2.1.2.2 Breakdown of primaries 30
2.1.3 SECONDARY AND PRIMARY RESEARCH 31
2.1.3.1 Key industry insights 32
2.2 MARKET SIZE ESTIMATION 32
2.2.1 BOTTOM-UP APPROACH 34
2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side) 34
2.2.2 TOP-DOWN APPROACH 35
2.2.2.1 Approach to arrive at market size using top-down analysis (supply side) 35
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 36
2.4 RESEARCH ASSUMPTIONS 37
2.5 RISK ASSESSMENT 37
2.6 RESEARCH LIMITATIONS 38
3 EXECUTIVE SUMMARY 39
4 PREMIUM INSIGHTS 43
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI VISION MARKET 43
4.2 AI VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL 44
4.3 AI VISION MARKET IN ASIA PACIFIC, BY VERTICAL 44
4.4 AI VISION MARKET, BY GEOGRAPHY 45
5 MARKET OVERVIEW 46
5.1 INTRODUCTION 46
5.2 MARKET DYNAMICS 46
5.2.1 DRIVERS 47
5.2.1.1 Growing inclination toward cloud computing 47
5.2.1.2 Integration of ML and DL technologies into next-generation vision solutions 48
5.2.1.3 Increasing adoption of edge computing 48
5.2.1.4 Surging need for real-time analytics across automotive and manufacturing sectors 49
5.2.2 RESTRAINTS 49
5.2.2.1 Legal and reputational risks 49
5.2.2.2 Dependence on high-quality data for accurate results 50
5.2.3 OPPORTUNITIES 50
5.2.3.1 Rapid innovations in healthcare 51
5.2.3.2 Growing demand for optical character recognition technology from AI vision system providers 51
5.2.3.3 Increasing number of smart city projects 51
5.2.4 CHALLENGES 52
5.2.4.1 Complexities associated with system maintenance and upgrades 52
5.2.4.2 High data storage and management costs 53
5.2.4.3 Training AI vision models effectively for optimal performance 53
5.3 VALUE CHAIN ANALYSIS 54
5.4 ECOSYSTEM ANALYSIS 56
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 58
5.6 PRICING ANALYSIS 59
5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING 59
5.6.2 AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS 60
5.7 TECHNOLOGY ANALYSIS 61
5.7.1 KEY TECHNOLOGIES 61
5.7.1.1 Edge computing 61
5.7.1.2 Machine learning 61
5.7.2 COMPLEMENTARY TECHNOLOGIES 62
5.7.2.1 Internet of Things (IoT) 62
5.7.2.2 5G connectivity 62
5.7.3 ADJACENT TECHNOLOGIES 62
5.7.3.1 Deep learning 62
5.7.3.2 Augmented natural language processing (NLP) 62
 
5.8 PORTER'S FIVE FORCES ANALYSIS 63
5.8.1 INTENSITY OF COMPETITIVE RIVALRY 64
5.8.2 BARGAINING POWER OF SUPPLIERS 64
5.8.3 BARGAINING POWER OF BUYERS 64
5.8.4 THREAT OF SUBSTITUTES 64
5.8.5 THREAT OF NEW ENTRANTS 64
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA 65
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS 65
5.9.2 BUYING CRITERIA 66
5.10 CASE STUDY ANALYSIS 67
5.10.1 WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS 67
5.10.2 MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION 67
5.10.3 BENGALURU AIRPORT EMPLOYED INDUSTRY.AI’S VISION AI PLATFORM AND NVIDIA'S AI TOOLS TO ENSURE REAL-TIME MONITORING AND EFFECTIVE TERMINAL MANAGEMENT 68
5.10.4 PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES’ AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY 68
5.10.5 MULTINATION PHARMA COMPANY DEPLOYED SOLOMON’S SOLVISION AI TO DETECT DEFECTIVE TABLETS IN REAL TIME 69
5.11 INVESTMENT AND FUNDING SCENARIO 69
5.12 TRADE ANALYSIS 70
5.12.1 IMPORT DATA (HS CODE 852580) 70
5.12.2 EXPORT DATA (HS CODE 852580) 71
5.13 PATENT ANALYSIS 72
5.14 KEY CONFERENCES AND EVENTS, 2024–2025 77
5.15 REGULATORY LANDSCAPE 78
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 78
5.15.2 STANDARDS AND REGULATIONS 81
6 USE CASES FOR AI VISION 83
6.1 INTRODUCTION 83
6.2 AUTONOMOUS VEHICLES 83
6.3 AUGMENTED REALITY DEVICES 83
6.4 ROBOTIC VISION SYSTEMS 84
6.5 3D PRINTERS 84
6.6 MEDICAL IMAGING SOLUTIONS 84
6.7 TRAFFIC MONITORING SYSTEMS 85
6.8 AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS 85
6.9 SECURITY AND SURVEILLANCE SYSTEMS 85
6.10 DIGITAL ASSET MANAGEMENT SOLUTIONS 86
7 AI VISION MARKET, BY OFFERING 87
7.1 INTRODUCTION 88
7.2 VISION PLATFORMS 89
7.2.1 PRESSING NEED FOR REAL-TIME DATA ANALYSIS TO DRIVE SEGMENTAL GROWTH 89
7.3 VISION SOFTWARE 90
7.3.1 APPLICATION PROGRAMMING INTERFACES 91
7.3.1.1 Growing demand for cloud services to accelerate segmental growth 91
7.3.2 SOFTWARE DEVELOPMENT KITS 92
7.3.2.1 Increasing investments in AI and ML technologies to fuel segmental growth 92
7.4 CUSTOM SOLUTIONS 92
7.4.1 ADVANCEMENTS IN EDGE COMPUTING TO SUPPORT MARKET GROWTH 92
8 AI VISION MARKET, BY SERVICE TYPE 94
8.1 INTRODUCTION 95
8.2 BEHAVIORAL ANALYSIS 96
8.2.1 GROWING NEED TO MONITOR CROWD BEHAVIOR IN PUBLIC PLACES TO ACCELERATE MARKET GROWTH 96
8.2.2 FACIAL RECOGNITION 96
8.3 OPTICAL CHARACTER RECOGNITION 97
8.3.1 INCREASING AUTOMATION IN DATA PROCESSING AND DOCUMENT MANAGEMENT TO BOOST MARKET GROWTH 97
8.4 SPATIAL ANALYSIS 97
8.4.1 MOTION DETECTION 98
8.4.1.1 Elevating deployment of smart home and home automation devices to boost segmental growth 98
8.4.2 INTRUSION DETECTION 99
8.4.2.1 Increasing cyberattacks and rising security threats to drive market 99
8.4.3 MONITORING SURROUNDINGS 99
8.4.3.1 Increasing smart city projects to foster market growth 99
8.5 IMAGE RECOGNITION 100
8.5.1 GOVERNMENT INVESTMENTS TO MINIMIZE RETAIL CRIMES TO SUPPORT MARKET GROWTH 100
8.6 HEATMAP ANALYSIS 100
8.6.1 INCREASING DEMAND FOR ADVANCED CROWD MANAGEMENT SOLUTIONS TO DRIVE MARKET 100
8.6.2 CROWD DENSITY ANALYSIS 100
 
9 AI VISION MARKET, BY TECHNOLOGY 101
9.1 INTRODUCTION 102
9.2 MACHINE LEARNING 103
9.2.1 DEEP LEARNING 104
9.2.1.1 Government and private sector funding for R&D in AI and DL to foster market growth 104
9.2.2 CONVOLUTIONAL NEURAL NETWORKS 105
9.2.2.1 Increasing use of automation across several industries to boost segmental growth 105
9.3 GENERATIVE AI 106
9.3.1 RISING NEED FOR SOPHISTICATED CONTENT CREATION TO SUPPORT MARKET GROWTH 106
10 AI VISION MARKET, BY MODE OF OPERATION 108
10.1 INTRODUCTION 109
10.2 EDGE INFERENCING 110
10.2.1 EASY SETUP AND TRAINING PROCESS TO BOOST ADOPTION 110
10.3 CLOUD-BASED LEARNING 113
10.3.1 RISING DEMAND FOR SCALABLE, EFFICIENT, AND ACCESSIBLE AI SOLUTIONS TO DRIVE MARKET 113
11 AI VISION MARKET, BY VERTICAL 117
11.1 INTRODUCTION 118
11.2 TRANSPORTATION & LOGISTICS 120
11.2.1 INVESTMENT IN ADVANCED LOGISTICS HUBS AND WAREHOUSES TO BOOST SEGMENTAL GROWTH 120
11.3 RETAIL 121
11.3.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET 121
11.4 HEALTHCARE 122
11.4.1 PRESSING NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND 122
11.5 MANUFACTURING 123
11.5.1 ABILITY OF AI VISION TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND 123
11.6 AGRICULTURE 124
11.6.1 INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH 124
11.7 OIL & GAS 125
11.7.1 RISING FOCUS OF OIL AND GAS COMPANIES ON AUTOMATING COMPLEX PROCESSES TO FUEL MARKET GROWTH 125
11.8 CONSTRUCTION 126
11.8.1 ESCALATING REQUIREMENT TO TRACK PROGRESS AGAINST PROJECT TIMELINES TO CREATE OPPORTUNITIES 126
11.9 OTHER VERTICALS 127
12 AI VISION MARKET, BY REGION 128
12.1 INTRODUCTION 129
12.2 NORTH AMERICA 130
12.2.1 MACROECONOMIC FACTORS FOR NORTH AMERICA 130
12.2.2 US 135
12.2.2.1 Increasing investments by government and technology giants in cutting-edge technologies to drive market 135
12.2.3 CANADA 136
12.2.3.1 Strategic government investments in AI infrastructure development to fuel market growth 136
12.2.4 MEXICO 137
12.2.4.1 Surging adoption of AI-powered solutions in manufacturing sector to boost market growth 137
12.3 EUROPE 138
12.3.1 MACROECONOMIC FACTORS FOR EUROPE 138
12.3.2 GERMANY 143
12.3.2.1 Increasing number of AI startups to contribute to market growth 143
12.3.3 UK 144
12.3.3.1 Commitment to becoming global leader in artificial intelligence to accelerate market growth 144
12.3.4 FRANCE 145
12.3.4.1 Robust research and strategic investments in establishing AI startups to fuel market growth 145
12.3.5 ITALY 145
12.3.5.1 Significant focus on developing and scaling AI vision technologies to create growth opportunities 145
12.3.6 REST OF EUROPE 146
12.4 ASIA PACIFIC 147
12.4.1 MACROECONOMIC FACTORS FOR ASIA PACIFIC 147
12.4.2 CHINA 152
12.4.2.1 Ventures between research institutions and entrepreneurs to drive market 152
12.4.3 JAPAN 153
12.4.3.1 Investment in digital skilling programs to accelerate market growth 153
12.4.4 SOUTH KOREA 153
12.4.4.1 Startup Koria policy and government investment in AI development to support market growth 153
12.4.5 REST OF ASIA PACIFIC 154
12.5 ROW 155
12.5.1 MACROECONOMIC FACTORS FOR ROW 155
12.5.2 MIDDLE EAST 159
12.5.2.1 Strategic investments in digital transformation and innovation to spike demand 159
12.5.2.2 GCC countries 160
12.5.2.3 Rest of Middle East & Africa 160
12.5.3 AFRICA 160
12.5.3.1 International collaborations funding AI projects to boost market growth 160
12.5.4 SOUTH AMERICA 161
12.5.4.1 Increasing public–private sector investments in AI technology to fuel market growth 161
13 COMPETITIVE LANDSCAPE 163
13.1 OVERVIEW 163
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024 163
13.3 REVENUE ANALYSIS, 2019–2023 165
13.4 MARKET SHARE ANALYSIS, 2023 165
13.5 COMPANY VALUATION AND FINANCIAL METRICS 168
13.6 BRAND/PRODUCT COMPARISON 169
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 170
13.7.1 STARS 170
13.7.2 EMERGING LEADERS 170
13.7.3 PERVASIVE PLAYERS 170
13.7.4 PARTICIPANTS 170
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 172
13.7.5.1 Company footprint 172
13.7.5.2 Mode of operation footprint 173
13.7.5.3 Technology footprint 174
13.7.5.4 Offering footprint 175
13.7.5.5 Vertical footprint 176
13.7.5.6 Region footprint 177
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 178
13.8.1 PROGRESSIVE COMPANIES 178
13.8.2 RESPONSIVE COMPANIES 178
13.8.3 DYNAMIC COMPANIES 178
13.8.4 STARTING BLOCKS 178
13.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2023 180
13.8.5.1 Detailed list of startups/SMEs 180
13.8.5.2 Competitive benchmarking of key startups/SMEs 181
13.9 COMPETITIVE SCENARIO 182
13.9.1 PRODUCT LAUNCHES/DEVELOPMENTS 182
13.9.2 DEALS 183
 
14 COMPANY PROFILES 184
14.1 KEY PLAYERS 184
14.1.1 NVIDIA CORPORATION 184
14.1.1.1 Business overview 184
14.1.1.2 Products/Solutions/Services offered 185
14.1.1.3 Recent developments 186
14.1.1.3.1 Product launches/Developments 186
14.1.1.4 MnM view 187
14.1.1.4.1 Key strengths 187
14.1.1.4.2 Strategic choices 187
14.1.1.4.3 Weaknesses 187
14.1.2 MICROSOFT CORPORATION 188
14.1.2.1 Business overview 188
14.1.2.2 Products/Solutions/Services offered 189
14.1.2.3 Recent developments 190
14.1.2.3.1 Product launches/Developments 190
14.1.2.3.2 Deals 190
14.1.2.4 MnM view 191
14.1.2.4.1 Key strengths 191
14.1.2.4.2 Strategic choices 191
14.1.2.4.3 Weaknesses 191
14.1.3 INTEL CORPORATION 192
14.1.3.1 Business overview 192
14.1.3.2 Products/Solutions/Services Offered 193
14.1.3.3 Recent developments 194
14.1.3.3.1 Product launches/Developments 194
14.1.3.4 MnM view 194
14.1.3.4.1 Key strengths 194
14.1.3.4.2 Strategic choices 194
14.1.3.4.3 Weaknesses 194
14.1.4 ALPHABET INC. 195
14.1.4.1 Business overview 195
14.1.4.2 Products/Solutions/Services offered 196
14.1.4.3 MnM view 197
14.1.4.3.1 Key strengths 197
14.1.4.3.2 Strategic choices 197
14.1.4.3.3 Weaknesses 197
14.1.5 AMAZON.COM, INC. 198
14.1.5.1 Business overview 198
14.1.5.2 Products/Solutions/Services offered 199
14.1.5.3 Recent developments 200
14.1.5.3.1 Product launches/Developments 200
14.1.5.4 MnM view 200
14.1.5.4.1 Key strengths 200
14.1.5.4.2 Strategic choices 200
14.1.5.4.3 Weaknesses 200
14.1.6 IBM 201
14.1.6.1 Business overview 201
14.1.6.2 Products/Solutions/Services offered 202
14.1.6.3 Recent developments 203
14.1.6.3.1 Product launches/Developments 203
14.1.7 ORACLE 204
14.1.7.1 Business overview 204
14.1.7.2 Products/Solutions/Services offered 205
14.1.7.3 Recent developments 206
14.1.7.3.1 Deals 206
14.1.8 COGNEX CORPORATION 207
14.1.8.1 Business overview 207
14.1.8.2 Products/Solutions/Services offered 208
14.1.8.3 Recent developments 209
14.1.8.3.1 Product launches/Developments 209
14.1.9 QUALCOMM TECHNOLOGIES, INC. 210
14.1.9.1 Business overview 210
14.1.9.2 Products/Solutions/Services offered 211
14.1.10 STMICROELECTRONICS 212
14.1.10.1 Business overview 212
14.1.10.2 Products/Solutions/Services offered 213
14.1.10.3 Recent developments 214
14.1.10.3.1 Deals 214
14.1.11 AVNET, INC. 215
14.1.11.1 Business overview 215
14.1.11.2 Products/Solutions/Services offered 216
14.1.11.3 Recent developments 217
14.1.11.3.1 Product launches/Developments 217
14.1.12 AVEVA GROUP LIMITED 218
14.1.12.1 Business overview 218
14.1.12.2 Products/Solutions/Services offered 218
14.1.12.3 Recent developments 219
14.1.12.3.1 Product launches/Developments 219
14.2 OTHER PLAYERS 220
14.2.1 SYMPHONYAI 220
14.2.2 APERA AI 221
14.2.3 CHOOCH 222
14.2.4 IRONYUN INC. 223
14.2.5 KYUNGWOO SYSTECH, INC. 224
14.2.6 LANDINGAI 225
14.2.7 ML6 226
14.2.8 OPENSISTEMAS 227
14.2.9 ROBOVISION BV 228
14.2.10 SENSETIME 229
14.2.11 SEVENLAB 230
14.2.12 SOLOMON TECHNOLOGY CORPORATION 231
14.2.13 VISO.AI 232
14.2.14 ZEBRA TECHNOLOGIES 233
15 APPENDIX 234
15.1 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 237
15.2 CUSTOMIZATION OPTIONS 239
15.3 RELATED REPORTS 239
15.4 AUTHOR DETAILS 240