This report provides a comprehensive analysis of the global AI-based image analysis market, projecting significant growth through 2030. Driven by the integration of deep learning, cloud computing, and edge AI, the market is expanding rapidly across sectors such as automotive and manufacturing. The study examines key technological trends, deployment modes, and regional dynamics, highlighting the manufacturing segment's dominance. Additionally, it offers competitive intelligence on major players and explores market drivers, challenges, and strategic opportunities for stakeholders.

Market Overview

The global AI-based image analysis market is projected to grow from USD 13.07 billion in 2025 to USD 36.36 billion by 2030, expanding at a compound annual growth rate (CAGR) of 22.7% from 2025 to 2030.

Market Drivers

The market growth is driven by several key factors:

• Growing integration of Machine Learning (ML) and Deep Learning (DL) technologies.
• An increasing inclination toward cloud computing.
• Rising demand for edge computing solutions to facilitate real-time image analysis.

Sector-Specific Trends

• Automotive: There is rapidly increasing demand within the automotive sector, specifically for autonomous driving systems. These systems leverage AI-based image analysis for high-speed visual interpretation, including real-time object detection, lane identification, and driver monitoring.
• Manufacturing: The manufacturing sector is seeing a surge in demand, with techniques being used to enhance quality control, assembly inspection, equipment monitoring, and electronics inspections.

Technology Analysis

Deep Learning Dominance

The deep learning segment is projected to account for the largest market share by 2030. Deep learning utilizes advanced technologies such as:

• Convolutional Neural Networks (CNNs)
• Transformers
• Generative Adversarial Networks (GANs)

These technologies allow for the extraction of complex features from images, enabling high-compatibility functions like object detection, segmentation, and pattern recognition without manual engineering.

Key Advantages and Applications of Deep Learning:

• Scalability & Learning: Models benefit from scalability, constant learning capabilities, and compatibility with complex or unstructured image data.
• Healthcare: Critical for diagnostics involving radiology and pathology images.
• Manufacturing: Used for automated product quality checks.
• Emerging Enhancements: Integration is further bolstered by Edge AI (on-device inference), generative AI models (e.g., GANs), and the growth of transformer-based vision models.

Segment Analysis

Manufacturing Segment

The manufacturing segment is expected to capture the largest share of the AI-based image analysis market during the forecast period. The integration of AI into smart factories and robotic systems is accelerating due to advancements in machine vision and edge computing.

Government Initiatives (US):

• In July, the National Institute of Standards and Technology (NIST) announced a USD 70 million investment to establish a new institute focused on leveraging AI to increase the flexibility of American manufacturing. This initiative aims to enhance manufacturing resilience and solidify the US as a global leader in the field.

Regional Insights: North America

The US is positioned to be the largest market for AI-based image analysis in North America, driven by significant federal investments and corporate innovation.

US Federal Investments:

• National Science Foundation (May 2023): Announced a USD 140 million investment to establish seven new National Artificial Intelligence Research Institutes to promote state-of-the-art R&D and academic cooperation.
• NIST/Department of Commerce (July 2024): Announced a funding opportunity of up to USD 70 million for a new AI-focused Manufacturing USA institute to enhance manufacturing resilience.

Competitive Landscape

Key Players

Major companies driving innovation and market growth include:

• Alphabet Inc. (US)
• Amazon.com, Inc. (US)
• Cognex Corporation (US)
• ContextVision (Sweden)
• GE Healthcare (US)
• Google (US)
• IBM (US)
• Intel Corporation (US)
• Microsoft Corporation (US)
• NVIDIA Corporation (US)
• Oracle (US)

Competitive Assessment

The report provides an in-depth analysis of company profiles, recent developments, and key market strategies for the following players:

• Alphabet Inc. (US)
• Amazon.com, Inc. (US)
• Chooch (US)
• Cognex Corporation (US)
• ContextVision (Sweden)
• GE Healthcare (US)
• IBM (US)
• Intel Corporation (US)
• Kyungwoo Systech, Inc. (South Korea)
• LandingAI (US)
• ML6 (Belgium)
• Microsoft Corporation (US)
• NVIDIA Corporation (US)
• Oracle (US)
• SenseTime (China)

Research Methodology & Coverage

Research Scope

The research categorizes the market by:

• Technology: Deep learning, traditional machine learning, and hybrid and other AI technologies.
• Deployment Mode: On-premises and cloud-based.
• End-Use Industry: Healthcare, retail & e-commerce, automotive & transportation, manufacturing, and other end-use industries.
• Region: North America, Europe, Asia Pacific, and RoW.

The study includes leadership mapping and analysis of all companies within the AI-based image analysis ecosystem, forecasting drivers, restraints, challenges, and opportunities through 2030.

Primary Research Breakdown

Extensive primary interviews were conducted with industry experts, including component suppliers, Tier 1 companies, and OEMs. The participant breakup is as follows:

• By Company Type:
• Tier 1: 40%
• Tier 2: 35%
• Tier 3: 25%
• (Note: Tier 1 $\geq$ USD 500M; Tier 2: USD 100M–500M; Tier 3 $\leq$ USD 100M as of 2024)
• By Designation:
• C-level Executives: 45%
• Directors: 35%
• Others (Sales/Marketing Executives, Researchers, etc.): 20%
• By Region:
• Asia Pacific: 40%
• North America: 30%
• Europe: 22%
• RoW: 8%

Strategic Insights for Stakeholders

Market Dynamics

• Drivers: Integration of ML/DL, inclination toward cloud computing, demand for edge computing for real-time analysis, and surging needs in automotive and manufacturing.
• Restraints: Data privacy concerns and dependence on high-quality data for accuracy.
• Opportunities: Technological innovations and growing demand in healthcare; growing demand for optical character recognition (OCR) technology.
• Challenges: High costs associated with data storage and management.

Value Proposition of the Report

• For Market Leaders & New Entrants: Provides close approximations of revenue numbers for the overall market and subsegments to assist in positioning and go-to-market strategies.
• Product Development & Innovation: Insights into upcoming technologies, R&D activities, and latest product/service launches.
• Market Development: Comprehensive analysis of lucrative markets across varied regions.
• Market Diversification: Information regarding new products, services, untapped geographies, recent developments, and investments.

• 1 INTRODUCTION 23

  • 1.1 STUDY OBJECTIVES 23

  • 1.2 DEFINITION 23

  • 1.3 STUDY SCOPE 24

    • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE 24

    • 1.3.2 INCLUSIONS AND EXCLUSIONS 25

    • 1.3.3 YEARS CONSIDERED 25

  • 1.4 CURRENCY CONSIDERED 25

  • 1.5 LIMITATIONS 26

  • 1.6 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 29

    • 2.1.2 PRIMARY DATA 29

      • 2.1.2.1 List of primary interview participants 30
      • 2.1.2.2 Breakdown of primaries 30
      • 2.1.2.3 Key industry insights 31

    • 2.1.3 SECONDARY AND PRIMARY RESEARCH 32

  • 2.2 MARKET SIZE ESTIMATION 32

    • 2.2.1 BOTTOM-UP APPROACH 34

      • 2.2.1.1 Approach to estimate market size using bottom-up analysis

    • 2.2.2 TOP-DOWN APPROACH 35

      • 2.2.2.1 Approach to estimate market size using top-down analysis

  • 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 42

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI-BASED IMAGE ANALYSIS MARKET 42

  • 4.2 AI-BASED IMAGE ANALYSIS MARKET, BY TECHNOLOGY 42

  • 4.3 AI-BASED IMAGE ANALYSIS MARKET, BY END-USE INDUSTRY 43

  • 4.4 AI-BASED IMAGE ANALYSIS MARKET, BY COUNTRY 43

• 5 MARKET OVERVIEW 44

  • 5.1 INTRODUCTION 44

  • 5.2 MARKET DYNAMICS 44

    • 5.2.1 DRIVERS 45

      • 5.2.1.1 Growing integration of ML and DL technologies and inclination toward cloud computing 45
      • 5.2.1.2 Increasing demand for edge computing solutions for real-time image analysis 46
      • 5.2.1.3 Surging need for AI-based image analysis in automotive and manufacturing industries 46

    • 5.2.2 RESTRAINTS 47

      • 5.2.2.1 Data privacy concerns 47
      • 5.2.2.2 Dependence on high-quality data for accurate results 47

    • 5.2.3 OPPORTUNITIES 48

      • 5.2.3.1 Growing demand and technological innovations in healthcare 48
      • 5.2.3.2 Growing demand for optical character recognition technology

    • 5.2.4 CHALLENGES 49

      • 5.2.4.1 High data storage and management costs 49

  • 5.3 VALUE CHAIN ANALYSIS 49

  • 5.4 ECOSYSTEM ANALYSIS 51

  • 5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 52

  • 5.6 PRICING ANALYSIS 53

    • 5.6.1 AVERAGE SELLING PRICE OF AI-BASED IMAGE ANALYSIS PLATFORM

    • 5.6.2 AVERAGE SELLING PRICE TREND OF AI-BASED IMAGE ANALYSIS PLATFORM, BY REGION, 2021-2024 55

  • 5.7 TECHNOLOGY ANALYSIS 55

    • 5.7.1 KEY TECHNOLOGIES 56

      • 5.7.1.1 Edge computing 56
      • 5.7.1.2 Machine learning 56

    • 5.7.2 COMPLEMENTARY TECHNOLOGIES 56

      • 5.7.2.1 Internet of Things (IoT) 56
      • 5.7.2.2 5G connectivity 56

    • 5.7.3 ADJACENT TECHNOLOGIES 56

      • 5.7.3.1 Deep learning 56
      • 5.7.3.2 Augmented natural language processing (NLP) 57

  • 5.8 CASE STUDY ANALYSIS 57

    • 5.8.1 WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS 57

    • 5.8.2 MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION 58

    • 5.8.3 PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES' AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY 58

  • 5.9 INVESTMENT AND FUNDING SCENARIO 59

  • 5.10 PATENT ANALYSIS 60

  • 5.11 TRADE ANALYSIS 63

    • 5.11.1 IMPORT SCENARIO FOR HS CODE 852580-COMPLIANT PRODUCTS 63

    • 5.11.2 EXPORT SCENARIO FOR HS CODE 852580-COMPLIANT PRODUCTS 64

  • 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA 65

    • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS 65

    • 5.12.2 BUYING CRITERIA 66

  • 5.13 PORTER'S FIVE FORCES ANALYSIS 67

    • 5.13.1 INTENSITY OF COMPETITIVE RIVALRY 68

    • 5.13.2 BARGAINING POWER OF SUPPLIERS 68

    • 5.13.3 BARGAINING POWER OF BUYERS 68

    • 5.13.4 THREAT OF SUBSTITUTES 68

    • 5.13.5 THREAT OF NEW ENTRANTS 68

  • 5.14 KEY CONFERENCES AND EVENTS, 2025-2026 69

  • 5.15 REGULATORY LANDSCAPE AND STANDARDS 70

    • 5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 70

    • 5.15.2 STANDARDS 72

  • 5.16 2025 US TARIFF IMPACT ON AI-BASED IMAGE ANALYSIS MARKET 74

    • 5.16.1 INTRODUCTION 74

    • 5.16.2 KEY TARIFF RATES 75

    • 5.16.3 PRICE IMPACT ANALYSIS 76

    • 5.16.4 IMPACT ON COUNTRIES/REGIONS 77

      • 5.16.4.1 US 77
      • 5.16.4.2 Europe 77
      • 5.16.4.3 Asia Pacific 78

    • 5.16.5 IMPACT ON APPLICATIONS 78

      • 5.16.5.1 Healthcare 78
      • 5.16.5.2 Retail & E-commerce 78
      • 5.16.5.3 Automotive & Transportation 78
      • 5.16.5.4 Manufacturing 78

• 6 AI-BASED IMAGE ANALYSIS MARKET, BY TECHNOLOGY 79

  • 6.1 INTRODUCTION 80

  • 6.2 DEEP LEARNING 81

    • 6.2.1 INCREASING AVAILABILITY OF LABELED IMAGE DATASETS TO SUPPORT MARKET GROWTH 81

  • 6.3 TRADITIONAL MACHINE LEARNING 82

    • 6.3.1 CONTINUED RELEVANCE IN INDUSTRIAL AND RULE-BASED QUALITY CHECKS TO DRIVE DEMAND 82

  • 6.4 HYBRID AND OTHER AI TECHNOLOGIES 83

    • 6.4.1 NEED FOR INCREASED DATA EFFICIENCY AND ADAPTABILITY TO FUEL MARKET 83

• 7 AI-BASED IMAGE ANALYSIS MARKET, BY DEPLOYMENT MODE 84

  • 7.1 INTRODUCTION 85

  • 7.2 ON-PREMISES 86

    • 7.2.1 INCREASING AI AND DATA-INTENSIVE WORKLOADS TO DRIVE MARKET 86

  • 7.3 CLOUD-BASED 87

    • 7.3.1 GROWING EMPHASIS ON INTEGRATING AI CAPABILITIES SUPPORTING MARKET GROWTH 87

• 8 AI-BASED IMAGE ANALYSIS MARKET, BY END-USE INDUSTRY 89

  • 8.1 INTRODUCTION 90

  • 8.2 AUTOMOTIVE & TRANSPORTATION 91

    • 8.2.1 RISE IN CONNECTED VEHICLES AND NEED FOR REAL-TIME VISUAL DATA PROCESSING TO DRIVE MARKET 91

  • 8.3 RETAIL & E-COMMERCE 96

    • 8.3.1 GROWING FOCUS OF RETAIL & E-COMMERCE SECTOR ON INVENTORY MANAGEMENT TO DRIVE MARKET 96

  • 8.4 HEALTHCARE 100

    • 8.4.1 NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND 100

  • 8.5 MANUFACTURING 105

    • 8.5.1 ABILITY OF AI-BASED IMAGE ANALYSIS TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND 105

  • 8.6 OTHER END-USE INDUSTRIES 109

    • 8.6.1 INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH 109

• 9 AI-BASED IMAGE ANALYSIS MARKET, BY REGION 114

  • 9.1 INTRODUCTION 115

  • 9.2 NORTH AMERICA 116

    • 9.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 116

    • 9.2.2 US 119

      • 9.2.2.1 Increasing investments by government and technology giants in cutting-edge technologies to drive market 119

    • 9.2.3 CANADA 120

      • 9.2.3.1 Strategic government investments in AI infrastructure development to fuel market growth 120

    • 9.2.4 MEXICO 121

      • 9.2.4.1 Surging adoption of AI-powered solutions in manufacturing sector to boost market growth 121

  • 9.3 EUROPE 122

    • 9.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 122

    • 9.3.2 GERMANY 125

      • 9.3.2.1 Increasing number of AI startups to contribute to market growth 125

    • 9.3.3 UK 126

      • 9.3.3.1 Commitment to becoming global leader in artificial intelligence to accelerate market growth 126

    • 9.3.4 FRANCE 127

      • 9.3.4.1 Robust research and strategic investments in establishing AI startups to fuel market growth 127

    • 9.3.5 ITALY 128

      • 9.3.5.1 Significant focus on developing and scaling AI-based image analysis technologies to create growth opportunities 128

    • 9.3.6 SPAIN 129

      • 9.3.6.1 Deployment in healthcare sector to create growth opportunities 129

    • 9.3.7 BELGIUM 130

      • 9.3.7.1 Rising awareness of AI's capabilities and increasing cloud adoption to create growth opportunities 130

    • 9.3.8 NETHERLANDS 131

      • 9.3.8.1 Growing demand across healthcare, agriculture, and industrial sectors to create growth opportunities 131

    • 9.3.9 REST OF EUROPE 132

  • 9.4 ASIA PACIFIC 133

    • 9.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 133

    • 9.4.2 CHINA 137

      • 9.4.2.1 Ventures between research institutions and entrepreneurs to drive market 137

    • 9.4.3 JAPAN 138

      • 9.4.3.1 Investment in digital skilling programs to accelerate market growth 138

    • 9.4.4 SOUTH KOREA 139

      • 9.4.4.1 Startup Korea policy and government investment in AI development to support market growth 139

    • 9.4.5 INDIA 140

      • 9.4.5.1 Strong government support to drive market growth 140

    • 9.4.6 TAIWAN 141

      • 9.4.6.1 Investment in smart medical innovation hubs to support market growth 141

    • 9.4.7 AUSTRALIA 142

      • 9.4.7.1 Strong emphasis on early disease detection to support market growth 142

    • 9.4.8 INDONESIA 143

      • 9.4.8.1 Development of healthcare sector to support market growth 143

    • 9.4.9 REST OF ASIA PACIFIC 144

  • 9.5 ROW 145

    • 9.5.1 MACROECONOMIC OUTLOOK FOR ROW 145

    • 9.5.2 MIDDLE EAST 147

      • 9.5.2.1 Strategic investments in digital transformation and innovation to fuel demand 147
      • 9.5.2.2 GCC countries 149
      • 9.5.2.3 Rest of Middle East 149

    • 9.5.3 AFRICA 150

      • 9.5.3.1 International collaborations funding AI projects to boost market growth 150

    • 9.5.4 SOUTH AMERICA 151

      • 9.5.4.1 Increasing public-private sector investments in AI technology to fuel market growth 151

• 10 COMPETITIVE LANDSCAPE 152

  • 10.1 OVERVIEW 152

  • 10.2 STRATEGIES ADOPTED BY KEY PLAYERS, 2021-2025 152

  • 10.3 REVENUE ANALYSIS, 2022-2024 154

  • 10.4 MARKET SHARE ANALYSIS, 2024 154

  • 10.5 COMPANY VALUATION AND FINANCIAL METRICS 157

  • 10.6 BRAND COMPARISON 158

  • 10.7 COMPANY EVALUATION MATRIX, 2024 158

    • 10.7.1 STARS 158

    • 10.7.2 EMERGING LEADERS 159

    • 10.7.3 PERVASIVE PLAYERS 159

    • 10.7.4 PARTICIPANTS 159

    • 10.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 161

      • 10.7.5.1 Company footprint 161
      • 10.7.5.2 Region footprint 162
      • 10.7.5.3 Technology footprint 163
      • 10.7.5.4 Deployment mode footprint 164
      • 10.7.5.5 End-use industry footprint 165

  • 10.8 STARTUPS/SMALL- AND MEDIUM-SIZED ENTERPRISES (SMES)

    • 10.8.1 PROGRESSIVE COMPANIES 166

    • 10.8.2 RESPONSIVE COMPANIES 166

    • 10.8.3 DYNAMIC COMPANIES 166

    • 10.8.4 STARTING BLOCKS 166

    • 10.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2024 168

      • 10.8.5.1 Detailed list of key startups/SMEs 168
      • 10.8.5.2 Competitive benchmarking of key startups/SMEs 168

  • 10.9 COMPETITIVE SCENARIO 169

    • 10.9.1 PRODUCT LAUNCHES 169

    • 10.9.2 DEALS 170

    • 10.9.3 EXPANSIONS 172

• 11 COMPANY PROFILES 173

  • 11.1 KEY PLAYERS 173

    • 11.1.1 NVIDIA CORPORATION 173

      • 11.1.1.1 Business overview 173
      • 11.1.1.2 Products/Solutions/Services offered 174
      • 11.1.1.3 Recent developments 175
        • 11.1.1.3.1 Product launches/developments 175
        • 11.1.1.3.2 Deals 176
      • 11.1.1.4 MnM view 176
        • 11.1.1.4.1 Key strengths 176
        • 11.1.1.4.2 Strategic choices 176
        • 11.1.1.4.3 Weaknesses and competitive threats 176

    • 11.1.2 MICROSOFT CORPORATION 177

      • 11.1.2.1 Business overview 177
      • 11.1.2.2 Products/Solutions/Services offered 178
      • 11.1.2.3 Recent developments 179
        • 11.1.2.3.1 Product launches/developments 179
        • 11.1.2.3.2 Deals 179
        • 11.1.2.3.3 Expansions 180
      • 11.1.2.4 MnM view 180
        • 11.1.2.4.1 Key strengths 180
        • 11.1.2.4.2 Strategic choices 180
        • 11.1.2.4.3 Weaknesses and competitive threats 180

    • 11.1.3 INTEL CORPORATION 181

      • 11.1.3.1 Business overview 181
      • 11.1.3.2 Products/Solutions/Services offered 182
      • 11.1.3.3 Recent developments 183
        • 11.1.3.3.1 Product launches/developments 183
      • 11.1.3.4 MnM view 183
        • 11.1.3.4.1 Key strengths 183
        • 11.1.3.4.2 Strategic choices 183
        • 11.1.3.4.3 Weaknesses and competitive threats 183

    • 11.1.4 ALPHABET INC 184

      • 11.1.4.1 Business overview 184
      • 11.1.4.2 Products/Solutions/Services offered 185
      • 11.1.4.3 MnM view 186
        • 11.1.4.3.1 Key strengths 186
        • 11.1.4.3.2 Strategic choices 186
        • 11.1.4.3.3 Weaknesses and competitive threats 186

    • 11.1.5 AMAZON.COM, INC 187

      • 11.1.5.1 Business overview 187
      • 11.1.5.2 Products/Solutions/Services offered 188
      • 11.1.5.3 Recent developments 189
        • 11.1.5.3.1 Product launches/developments 189
        • 11.1.5.3.2 Deals 189
      • 11.1.5.4 MnM view 189
        • 11.1.5.4.1 Key strengths 189
        • 11.1.5.4.2 Strategic choices 190
        • 11.1.5.4.3 Weaknesses and competitive threats 190

    • 11.1.6 IBM 191

      • 11.1.6.1 Business overview 191
      • 11.1.6.2 Products/Solutions/Services offered 192
      • 11.1.6.3 Recent developments 193
        • 11.1.6.3.1 Product launches/developments 193

    • 11.1.7 ORACLE 194

      • 11.1.7.1 Business overview 194
      • 11.1.7.2 Products/Solutions/Services offered 195
      • 11.1.7.3 Recent developments 196
        • 11.1.7.3.1 Deals 196

    • 11.1.8 COGNEX CORPORATION 197

      • 11.1.8.1 Business overview 197
      • 11.1.8.2 Products/Solutions/Services offered 198
      • 11.1.8.3 Recent developments 199
        • 11.1.8.3.1 Product launches/developments 199

    • 11.1.9 CONTEXTVISION 200

      • 11.1.9.1 Business overview 200
      • 11.1.9.2 Products/Solutions/Services offered 201
      • 11.1.9.3 Recent developments 201
        • 11.1.9.3.1 Deals 201

    • 11.1.10 GE HEALTHCARE 202

      • 11.1.10.1 Business overview 202
      • 11.1.10.2 Products/Solutions/Services offered 203
      • 11.1.10.3 Recent developments 204
        • 11.1.10.3.1 Deals 204

  • 11.2 OTHER PLAYERS 205

    • 11.2.1 CHOOCH 205

    • 11.2.2 KYUNGWOO SYSTECH, INC 206

    • 11.2.3 LANDINGAI 207

    • 11.2.4 ML6 208

    • 11.2.5 SENSETIME 209

    • 11.2.6 SEVENLAB 210

    • 11.2.7 SOLOMON TECHNOLOGY CORPORATION 211

    • 11.2.8 ZEBRA TECHNOLOGIES CORP 212

    • 11.2.9 MVISION AI 213

    • 11.2.10 CLARIFAI, INC 213

    • 11.2.11 ARTELUS 214

    • 11.2.12 ENLITIC, INC 215

    • 11.2.13 AIDOC 216

    • 11.2.14 GAMAYA 216

    • 11.2.15 AIFORIA 217

• 12 APPENDIX 218

  • 12.1 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 220

  • 12.2 CUSTOMIZATION OPTIONS 222

  • 12.3 RELATED REPORTS 222

  • 12.4 AUTHOR DETAILS 223