AI Vision Market by Vision Software (API, SDK), Vision Platform, Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, Heatmap Analysis, Machine Learning, Deep Learning, CNN, Generative AI – Global Forecast to 2029
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.
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:
“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%
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.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 INCLUSIONS AND EXCLUSIONS
1.3.2 MARKETS COVERED AND REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 MARKET STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Breakdown of primaries
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.3.1 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI VISION MARKET
4.2 AI VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL
4.3 AI VISION MARKET IN ASIA PACIFIC, BY VERTICAL
4.4 AI VISION MARKET, BY GEOGRAPHY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing inclination toward cloud computing
5.2.1.2 Integration of ML and DL technologies into next-generation vision solutions
5.2.1.3 Increasing adoption of edge computing
5.2.1.4 Surging need for real-time analytics across automotive and manufacturing sectors
5.2.2 RESTRAINTS
5.2.2.1 Legal and reputational risks
5.2.2.2 Dependence on high-quality data for accurate results
5.2.3 OPPORTUNITIES
5.2.3.1 Rapid innovations in healthcare
5.2.3.2 Growing demand for optical character recognition technology from AI vision system providers
5.2.3.3 Increasing number of smart city projects
5.2.4 CHALLENGES
5.2.4.1 Complexities associated with system maintenance and upgrades
5.2.4.2 High data storage and management costs
5.2.4.3 Training AI vision models effectively for optimal performance
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6 PRICING ANALYSIS
5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING
5.6.2 AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Edge computing
5.7.1.2 Machine learning
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Internet of Things (IoT)
5.7.2.2 5G connectivity
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Deep learning
5.7.3.2 Augmented natural language processing (NLP)
5.8 PORTER'S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS
5.10.2 MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION
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
5.10.4 PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES’ AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY
5.10.5 MULTINATION PHARMA COMPANY DEPLOYED SOLOMON’S SOLVISION AI TO DETECT DEFECTIVE TABLETS IN REAL TIME
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 TRADE ANALYSIS
5.12.1 IMPORT DATA (HS CODE 852580)
5.12.2 EXPORT DATA (HS CODE 852580)
5.13 PATENT ANALYSIS
5.14 KEY CONFERENCES AND EVENTS, 2024–2025
5.15 REGULATORY LANDSCAPE
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.15.2 STANDARDS AND REGULATIONS
6 USE CASES FOR AI VISION
6.1 INTRODUCTION
6.2 AUTONOMOUS VEHICLES
6.3 AUGMENTED REALITY DEVICES
6.4 ROBOTIC VISION SYSTEMS
6.5 3D PRINTERS
6.6 MEDICAL IMAGING SOLUTIONS
6.7 TRAFFIC MONITORING SYSTEMS
6.8 AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS
6.9 SECURITY AND SURVEILLANCE SYSTEMS
6.10 DIGITAL ASSET MANAGEMENT SOLUTIONS
7 AI VISION MARKET, BY OFFERING
7.1 INTRODUCTION
7.2 VISION PLATFORMS
7.2.1 PRESSING NEED FOR REAL-TIME DATA ANALYSIS TO DRIVE SEGMENTAL GROWTH
7.3 VISION SOFTWARE
7.3.1 APPLICATION PROGRAMMING INTERFACES
7.3.1.1 Growing demand for cloud services to accelerate segmental growth
7.3.2 SOFTWARE DEVELOPMENT KITS
7.3.2.1 Increasing investments in AI and ML technologies to fuel segmental growth
7.4 CUSTOM SOLUTIONS
7.4.1 ADVANCEMENTS IN EDGE COMPUTING TO SUPPORT MARKET GROWTH
8 AI VISION MARKET, BY SERVICE TYPE
8.1 INTRODUCTION
8.2 BEHAVIORAL ANALYSIS
8.2.1 GROWING NEED TO MONITOR CROWD BEHAVIOR IN PUBLIC PLACES TO ACCELERATE MARKET GROWTH
8.2.2 FACIAL RECOGNITION
8.3 OPTICAL CHARACTER RECOGNITION
8.3.1 INCREASING AUTOMATION IN DATA PROCESSING AND DOCUMENT MANAGEMENT TO BOOST MARKET GROWTH
8.4 SPATIAL ANALYSIS
8.4.1 MOTION DETECTION
8.4.1.1 Elevating deployment of smart home and home automation devices to boost segmental growth
8.4.2 INTRUSION DETECTION
8.4.2.1 Increasing cyberattacks and rising security threats to drive market
8.4.3 MONITORING SURROUNDINGS
8.4.3.1 Increasing smart city projects to foster market growth
8.5 IMAGE RECOGNITION
8.5.1 GOVERNMENT INVESTMENTS TO MINIMIZE RETAIL CRIMES TO SUPPORT MARKET GROWTH
8.6 HEATMAP ANALYSIS
8.6.1 INCREASING DEMAND FOR ADVANCED CROWD MANAGEMENT SOLUTIONS TO DRIVE MARKET
8.6.2 CROWD DENSITY ANALYSIS
9 AI VISION MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
9.2 MACHINE LEARNING
9.2.1 DEEP LEARNING
9.2.1.1 Government and private sector funding for R&D in AI and DL to foster market growth
9.2.2 CONVOLUTIONAL NEURAL NETWORKS
9.2.2.1 Increasing use of automation across several industries to boost segmental growth
9.3 GENERATIVE AI
9.3.1 RISING NEED FOR SOPHISTICATED CONTENT CREATION TO SUPPORT MARKET GROWTH
10 AI VISION MARKET, BY MODE OF OPERATION
10.1 INTRODUCTION
10.2 EDGE INFERENCING
10.2.1 EASY SETUP AND TRAINING PROCESS TO BOOST ADOPTION
10.3 CLOUD-BASED LEARNING
10.3.1 RISING DEMAND FOR SCALABLE, EFFICIENT, AND ACCESSIBLE AI SOLUTIONS TO DRIVE MARKET
11 AI VISION MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 TRANSPORTATION & LOGISTICS
11.2.1 INVESTMENT IN ADVANCED LOGISTICS HUBS AND WAREHOUSES TO BOOST SEGMENTAL GROWTH
11.3 RETAIL
11.3.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
11.4 HEALTHCARE
11.4.1 PRESSING NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND
11.5 MANUFACTURING
11.5.1 ABILITY OF AI VISION TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND
11.6 AGRICULTURE
11.6.1 INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH
11.7 OIL & GAS
11.7.1 RISING FOCUS OF OIL AND GAS COMPANIES ON AUTOMATING COMPLEX PROCESSES TO FUEL MARKET GROWTH
11.8 CONSTRUCTION
11.8.1 ESCALATING REQUIREMENT TO TRACK PROGRESS AGAINST PROJECT TIMELINES TO CREATE OPPORTUNITIES
11.9 OTHER VERTICALS
12 AI VISION MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 MACROECONOMIC FACTORS FOR NORTH AMERICA
12.2.2 US
12.2.2.1 Increasing investments by government and technology giants in cutting-edge technologies to drive market
12.2.3 CANADA
12.2.3.1 Strategic government investments in AI infrastructure development to fuel market growth
12.2.4 MEXICO
12.2.4.1 Surging adoption of AI-powered solutions in manufacturing sector to boost market growth
12.3 EUROPE
12.3.1 MACROECONOMIC FACTORS FOR EUROPE
12.3.2 GERMANY
12.3.2.1 Increasing number of AI startups to contribute to market growth
12.3.3 UK
12.3.3.1 Commitment to becoming global leader in artificial intelligence to accelerate market growth
12.3.4 FRANCE
12.3.4.1 Robust research and strategic investments in establishing AI startups to fuel market growth
12.3.5 ITALY
12.3.5.1 Significant focus on developing and scaling AI vision technologies to create growth opportunities
12.3.6 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 MACROECONOMIC FACTORS FOR ASIA PACIFIC
12.4.2 CHINA
12.4.2.1 Ventures between research institutions and entrepreneurs to drive market
12.4.3 JAPAN
12.4.3.1 Investment in digital skilling programs to accelerate market growth
12.4.4 SOUTH KOREA
12.4.4.1 Startup Koria policy and government investment in AI development to support market growth
12.4.5 REST OF ASIA PACIFIC
12.5 ROW
12.5.1 MACROECONOMIC FACTORS FOR ROW
12.5.2 MIDDLE EAST
12.5.2.1 Strategic investments in digital transformation and innovation to spike demand
12.5.2.2 GCC countries
12.5.2.3 Rest of Middle East & Africa
12.5.3 AFRICA
12.5.3.1 International collaborations funding AI projects to boost market growth
12.5.4 SOUTH AMERICA
12.5.4.1 Increasing public–private sector investments in AI technology to fuel market growth
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
13.3 REVENUE ANALYSIS, 2019–2023
13.4 MARKET SHARE ANALYSIS, 2023
13.5 COMPANY VALUATION AND FINANCIAL METRICS
13.6 BRAND/PRODUCT COMPARISON
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
13.7.1 STARS
13.7.2 EMERGING LEADERS
13.7.3 PERVASIVE PLAYERS
13.7.4 PARTICIPANTS
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
13.7.5.1 Company footprint
13.7.5.2 Mode of operation footprint
13.7.5.3 Technology footprint
13.7.5.4 Offering footprint
13.7.5.5 Vertical footprint
13.7.5.6 Region footprint
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
13.8.1 PROGRESSIVE COMPANIES
13.8.2 RESPONSIVE COMPANIES
13.8.3 DYNAMIC COMPANIES
13.8.4 STARTING BLOCKS
13.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2023
13.8.5.1 Detailed list of startups/SMEs
13.8.5.2 Competitive benchmarking of key startups/SMEs
13.9 COMPETITIVE SCENARIO
13.9.1 PRODUCT LAUNCHES/DEVELOPMENTS
13.9.2 DEALS
14 COMPANY PROFILES
14.1 KEY PLAYERS
14.1.1 NVIDIA CORPORATION
14.1.1.1 Business overview
14.1.1.2 Products/Solutions/Services offered
14.1.1.3 Recent developments
14.1.1.3.1 Product launches/Developments
14.1.1.4 MnM view
14.1.1.4.1 Key strengths
14.1.1.4.2 Strategic choices
14.1.1.4.3 Weaknesses
14.1.2 MICROSOFT CORPORATION
14.1.2.1 Business overview
14.1.2.2 Products/Solutions/Services offered
14.1.2.3 Recent developments
14.1.2.3.1 Product launches/Developments
14.1.2.3.2 Deals
14.1.2.4 MnM view
14.1.2.4.1 Key strengths
14.1.2.4.2 Strategic choices
14.1.2.4.3 Weaknesses
14.1.3 INTEL CORPORATION
14.1.3.1 Business overview
14.1.3.2 Products/Solutions/Services Offered
14.1.3.3 Recent developments
14.1.3.3.1 Product launches/Developments
14.1.3.4 MnM view
14.1.3.4.1 Key strengths
14.1.3.4.2 Strategic choices
14.1.3.4.3 Weaknesses
14.1.4 ALPHABET INC.
14.1.4.1 Business overview
14.1.4.2 Products/Solutions/Services offered
14.1.4.3 MnM view
14.1.4.3.1 Key strengths
14.1.4.3.2 Strategic choices
14.1.4.3.3 Weaknesses
14.1.5 AMAZON.COM, INC.
14.1.5.1 Business overview
14.1.5.2 Products/Solutions/Services offered
14.1.5.3 Recent developments
14.1.5.3.1 Product launches/Developments
14.1.5.4 MnM view
14.1.5.4.1 Key strengths
14.1.5.4.2 Strategic choices
14.1.5.4.3 Weaknesses
14.1.6 IBM
14.1.6.1 Business overview
14.1.6.2 Products/Solutions/Services offered
14.1.6.3 Recent developments
14.1.6.3.1 Product launches/Developments
14.1.7 ORACLE
14.1.7.1 Business overview
14.1.7.2 Products/Solutions/Services offered
14.1.7.3 Recent developments
14.1.7.3.1 Deals
14.1.8 COGNEX CORPORATION
14.1.8.1 Business overview
14.1.8.2 Products/Solutions/Services offered
14.1.8.3 Recent developments
14.1.8.3.1 Product launches/Developments
14.1.9 QUALCOMM TECHNOLOGIES, INC.
14.1.9.1 Business overview
14.1.9.2 Products/Solutions/Services offered
14.1.10 STMICROELECTRONICS
14.1.10.1 Business overview
14.1.10.2 Products/Solutions/Services offered
14.1.10.3 Recent developments
14.1.10.3.1 Deals
14.1.11 AVNET, INC.
14.1.11.1 Business overview
14.1.11.2 Products/Solutions/Services offered
14.1.11.3 Recent developments
14.1.11.3.1 Product launches/Developments
14.1.12 AVEVA?GROUP LIMITED
14.1.12.1 Business overview
14.1.12.2 Products/Solutions/Services offered
14.1.12.3 Recent developments
14.1.12.3.1 Product launches/Developments
14.2 OTHER PLAYERS
14.2.1 SYMPHONYAI
14.2.2 APERA AI
14.2.3 CHOOCH
14.2.4 IRONYUN INC.
14.2.5 KYUNGWOO SYSTECH, INC.
14.2.6 LANDINGAI
14.2.7 ML6
14.2.8 OPENSISTEMAS
14.2.9 ROBOVISION BV
14.2.10 SENSETIME
14.2.11 SEVENLAB
14.2.12 SOLOMON TECHNOLOGY CORPORATION
14.2.13 VISO.AI
14.2.14 ZEBRA TECHNOLOGIES
15 APPENDIX
15.1 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.2 CUSTOMIZATION OPTIONS
15.3 RELATED REPORTS
15.4 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 INCLUSIONS AND EXCLUSIONS
1.3.2 MARKETS COVERED AND REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 MARKET STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Breakdown of primaries
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.3.1 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI VISION MARKET
4.2 AI VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL
4.3 AI VISION MARKET IN ASIA PACIFIC, BY VERTICAL
4.4 AI VISION MARKET, BY GEOGRAPHY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing inclination toward cloud computing
5.2.1.2 Integration of ML and DL technologies into next-generation vision solutions
5.2.1.3 Increasing adoption of edge computing
5.2.1.4 Surging need for real-time analytics across automotive and manufacturing sectors
5.2.2 RESTRAINTS
5.2.2.1 Legal and reputational risks
5.2.2.2 Dependence on high-quality data for accurate results
5.2.3 OPPORTUNITIES
5.2.3.1 Rapid innovations in healthcare
5.2.3.2 Growing demand for optical character recognition technology from AI vision system providers
5.2.3.3 Increasing number of smart city projects
5.2.4 CHALLENGES
5.2.4.1 Complexities associated with system maintenance and upgrades
5.2.4.2 High data storage and management costs
5.2.4.3 Training AI vision models effectively for optimal performance
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6 PRICING ANALYSIS
5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING
5.6.2 AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Edge computing
5.7.1.2 Machine learning
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Internet of Things (IoT)
5.7.2.2 5G connectivity
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Deep learning
5.7.3.2 Augmented natural language processing (NLP)
5.8 PORTER'S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS
5.10.2 MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION
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
5.10.4 PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES’ AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY
5.10.5 MULTINATION PHARMA COMPANY DEPLOYED SOLOMON’S SOLVISION AI TO DETECT DEFECTIVE TABLETS IN REAL TIME
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 TRADE ANALYSIS
5.12.1 IMPORT DATA (HS CODE 852580)
5.12.2 EXPORT DATA (HS CODE 852580)
5.13 PATENT ANALYSIS
5.14 KEY CONFERENCES AND EVENTS, 2024–2025
5.15 REGULATORY LANDSCAPE
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.15.2 STANDARDS AND REGULATIONS
6 USE CASES FOR AI VISION
6.1 INTRODUCTION
6.2 AUTONOMOUS VEHICLES
6.3 AUGMENTED REALITY DEVICES
6.4 ROBOTIC VISION SYSTEMS
6.5 3D PRINTERS
6.6 MEDICAL IMAGING SOLUTIONS
6.7 TRAFFIC MONITORING SYSTEMS
6.8 AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS
6.9 SECURITY AND SURVEILLANCE SYSTEMS
6.10 DIGITAL ASSET MANAGEMENT SOLUTIONS
7 AI VISION MARKET, BY OFFERING
7.1 INTRODUCTION
7.2 VISION PLATFORMS
7.2.1 PRESSING NEED FOR REAL-TIME DATA ANALYSIS TO DRIVE SEGMENTAL GROWTH
7.3 VISION SOFTWARE
7.3.1 APPLICATION PROGRAMMING INTERFACES
7.3.1.1 Growing demand for cloud services to accelerate segmental growth
7.3.2 SOFTWARE DEVELOPMENT KITS
7.3.2.1 Increasing investments in AI and ML technologies to fuel segmental growth
7.4 CUSTOM SOLUTIONS
7.4.1 ADVANCEMENTS IN EDGE COMPUTING TO SUPPORT MARKET GROWTH
8 AI VISION MARKET, BY SERVICE TYPE
8.1 INTRODUCTION
8.2 BEHAVIORAL ANALYSIS
8.2.1 GROWING NEED TO MONITOR CROWD BEHAVIOR IN PUBLIC PLACES TO ACCELERATE MARKET GROWTH
8.2.2 FACIAL RECOGNITION
8.3 OPTICAL CHARACTER RECOGNITION
8.3.1 INCREASING AUTOMATION IN DATA PROCESSING AND DOCUMENT MANAGEMENT TO BOOST MARKET GROWTH
8.4 SPATIAL ANALYSIS
8.4.1 MOTION DETECTION
8.4.1.1 Elevating deployment of smart home and home automation devices to boost segmental growth
8.4.2 INTRUSION DETECTION
8.4.2.1 Increasing cyberattacks and rising security threats to drive market
8.4.3 MONITORING SURROUNDINGS
8.4.3.1 Increasing smart city projects to foster market growth
8.5 IMAGE RECOGNITION
8.5.1 GOVERNMENT INVESTMENTS TO MINIMIZE RETAIL CRIMES TO SUPPORT MARKET GROWTH
8.6 HEATMAP ANALYSIS
8.6.1 INCREASING DEMAND FOR ADVANCED CROWD MANAGEMENT SOLUTIONS TO DRIVE MARKET
8.6.2 CROWD DENSITY ANALYSIS
9 AI VISION MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
9.2 MACHINE LEARNING
9.2.1 DEEP LEARNING
9.2.1.1 Government and private sector funding for R&D in AI and DL to foster market growth
9.2.2 CONVOLUTIONAL NEURAL NETWORKS
9.2.2.1 Increasing use of automation across several industries to boost segmental growth
9.3 GENERATIVE AI
9.3.1 RISING NEED FOR SOPHISTICATED CONTENT CREATION TO SUPPORT MARKET GROWTH
10 AI VISION MARKET, BY MODE OF OPERATION
10.1 INTRODUCTION
10.2 EDGE INFERENCING
10.2.1 EASY SETUP AND TRAINING PROCESS TO BOOST ADOPTION
10.3 CLOUD-BASED LEARNING
10.3.1 RISING DEMAND FOR SCALABLE, EFFICIENT, AND ACCESSIBLE AI SOLUTIONS TO DRIVE MARKET
11 AI VISION MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 TRANSPORTATION & LOGISTICS
11.2.1 INVESTMENT IN ADVANCED LOGISTICS HUBS AND WAREHOUSES TO BOOST SEGMENTAL GROWTH
11.3 RETAIL
11.3.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
11.4 HEALTHCARE
11.4.1 PRESSING NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND
11.5 MANUFACTURING
11.5.1 ABILITY OF AI VISION TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND
11.6 AGRICULTURE
11.6.1 INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH
11.7 OIL & GAS
11.7.1 RISING FOCUS OF OIL AND GAS COMPANIES ON AUTOMATING COMPLEX PROCESSES TO FUEL MARKET GROWTH
11.8 CONSTRUCTION
11.8.1 ESCALATING REQUIREMENT TO TRACK PROGRESS AGAINST PROJECT TIMELINES TO CREATE OPPORTUNITIES
11.9 OTHER VERTICALS
12 AI VISION MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 MACROECONOMIC FACTORS FOR NORTH AMERICA
12.2.2 US
12.2.2.1 Increasing investments by government and technology giants in cutting-edge technologies to drive market
12.2.3 CANADA
12.2.3.1 Strategic government investments in AI infrastructure development to fuel market growth
12.2.4 MEXICO
12.2.4.1 Surging adoption of AI-powered solutions in manufacturing sector to boost market growth
12.3 EUROPE
12.3.1 MACROECONOMIC FACTORS FOR EUROPE
12.3.2 GERMANY
12.3.2.1 Increasing number of AI startups to contribute to market growth
12.3.3 UK
12.3.3.1 Commitment to becoming global leader in artificial intelligence to accelerate market growth
12.3.4 FRANCE
12.3.4.1 Robust research and strategic investments in establishing AI startups to fuel market growth
12.3.5 ITALY
12.3.5.1 Significant focus on developing and scaling AI vision technologies to create growth opportunities
12.3.6 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 MACROECONOMIC FACTORS FOR ASIA PACIFIC
12.4.2 CHINA
12.4.2.1 Ventures between research institutions and entrepreneurs to drive market
12.4.3 JAPAN
12.4.3.1 Investment in digital skilling programs to accelerate market growth
12.4.4 SOUTH KOREA
12.4.4.1 Startup Koria policy and government investment in AI development to support market growth
12.4.5 REST OF ASIA PACIFIC
12.5 ROW
12.5.1 MACROECONOMIC FACTORS FOR ROW
12.5.2 MIDDLE EAST
12.5.2.1 Strategic investments in digital transformation and innovation to spike demand
12.5.2.2 GCC countries
12.5.2.3 Rest of Middle East & Africa
12.5.3 AFRICA
12.5.3.1 International collaborations funding AI projects to boost market growth
12.5.4 SOUTH AMERICA
12.5.4.1 Increasing public–private sector investments in AI technology to fuel market growth
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
13.3 REVENUE ANALYSIS, 2019–2023
13.4 MARKET SHARE ANALYSIS, 2023
13.5 COMPANY VALUATION AND FINANCIAL METRICS
13.6 BRAND/PRODUCT COMPARISON
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
13.7.1 STARS
13.7.2 EMERGING LEADERS
13.7.3 PERVASIVE PLAYERS
13.7.4 PARTICIPANTS
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
13.7.5.1 Company footprint
13.7.5.2 Mode of operation footprint
13.7.5.3 Technology footprint
13.7.5.4 Offering footprint
13.7.5.5 Vertical footprint
13.7.5.6 Region footprint
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
13.8.1 PROGRESSIVE COMPANIES
13.8.2 RESPONSIVE COMPANIES
13.8.3 DYNAMIC COMPANIES
13.8.4 STARTING BLOCKS
13.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2023
13.8.5.1 Detailed list of startups/SMEs
13.8.5.2 Competitive benchmarking of key startups/SMEs
13.9 COMPETITIVE SCENARIO
13.9.1 PRODUCT LAUNCHES/DEVELOPMENTS
13.9.2 DEALS
14 COMPANY PROFILES
14.1 KEY PLAYERS
14.1.1 NVIDIA CORPORATION
14.1.1.1 Business overview
14.1.1.2 Products/Solutions/Services offered
14.1.1.3 Recent developments
14.1.1.3.1 Product launches/Developments
14.1.1.4 MnM view
14.1.1.4.1 Key strengths
14.1.1.4.2 Strategic choices
14.1.1.4.3 Weaknesses
14.1.2 MICROSOFT CORPORATION
14.1.2.1 Business overview
14.1.2.2 Products/Solutions/Services offered
14.1.2.3 Recent developments
14.1.2.3.1 Product launches/Developments
14.1.2.3.2 Deals
14.1.2.4 MnM view
14.1.2.4.1 Key strengths
14.1.2.4.2 Strategic choices
14.1.2.4.3 Weaknesses
14.1.3 INTEL CORPORATION
14.1.3.1 Business overview
14.1.3.2 Products/Solutions/Services Offered
14.1.3.3 Recent developments
14.1.3.3.1 Product launches/Developments
14.1.3.4 MnM view
14.1.3.4.1 Key strengths
14.1.3.4.2 Strategic choices
14.1.3.4.3 Weaknesses
14.1.4 ALPHABET INC.
14.1.4.1 Business overview
14.1.4.2 Products/Solutions/Services offered
14.1.4.3 MnM view
14.1.4.3.1 Key strengths
14.1.4.3.2 Strategic choices
14.1.4.3.3 Weaknesses
14.1.5 AMAZON.COM, INC.
14.1.5.1 Business overview
14.1.5.2 Products/Solutions/Services offered
14.1.5.3 Recent developments
14.1.5.3.1 Product launches/Developments
14.1.5.4 MnM view
14.1.5.4.1 Key strengths
14.1.5.4.2 Strategic choices
14.1.5.4.3 Weaknesses
14.1.6 IBM
14.1.6.1 Business overview
14.1.6.2 Products/Solutions/Services offered
14.1.6.3 Recent developments
14.1.6.3.1 Product launches/Developments
14.1.7 ORACLE
14.1.7.1 Business overview
14.1.7.2 Products/Solutions/Services offered
14.1.7.3 Recent developments
14.1.7.3.1 Deals
14.1.8 COGNEX CORPORATION
14.1.8.1 Business overview
14.1.8.2 Products/Solutions/Services offered
14.1.8.3 Recent developments
14.1.8.3.1 Product launches/Developments
14.1.9 QUALCOMM TECHNOLOGIES, INC.
14.1.9.1 Business overview
14.1.9.2 Products/Solutions/Services offered
14.1.10 STMICROELECTRONICS
14.1.10.1 Business overview
14.1.10.2 Products/Solutions/Services offered
14.1.10.3 Recent developments
14.1.10.3.1 Deals
14.1.11 AVNET, INC.
14.1.11.1 Business overview
14.1.11.2 Products/Solutions/Services offered
14.1.11.3 Recent developments
14.1.11.3.1 Product launches/Developments
14.1.12 AVEVA?GROUP LIMITED
14.1.12.1 Business overview
14.1.12.2 Products/Solutions/Services offered
14.1.12.3 Recent developments
14.1.12.3.1 Product launches/Developments
14.2 OTHER PLAYERS
14.2.1 SYMPHONYAI
14.2.2 APERA AI
14.2.3 CHOOCH
14.2.4 IRONYUN INC.
14.2.5 KYUNGWOO SYSTECH, INC.
14.2.6 LANDINGAI
14.2.7 ML6
14.2.8 OPENSISTEMAS
14.2.9 ROBOVISION BV
14.2.10 SENSETIME
14.2.11 SEVENLAB
14.2.12 SOLOMON TECHNOLOGY CORPORATION
14.2.13 VISO.AI
14.2.14 ZEBRA TECHNOLOGIES
15 APPENDIX
15.1 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.2 CUSTOMIZATION OPTIONS
15.3 RELATED REPORTS
15.4 AUTHOR DETAILS
