AI in Computer Vision Market by Offering (Cameras, Frame Grabbers, Optics, LED Lighting, CPU, GPU, ASIC, FPGA, AI Vision Software, AI Platform), Technology (Machine Learning, GenAI), Function (Training, Inference), Application - Global Forecast to 2030
The global Al in computer vision market is projected to reach USD 63.48 billion in 2030 from USD 23.42 billion in 2025; it is expected to grow at a CAGR of 22.1% from 2025 to 2030. Growth rates in the market for AI in computer vision are accelerating with improvements in machine learning algorithms, increasing computational power, and expansion of high-quality image data. Industries such as health care, retail, manufacturing, and automotive are increasingly applying AI vision solutions to diagnostics, inventory management, quality control, and autonomous vehicles. However, with rising concerns regarding costs associated with implementation or data privacy, demands for increased automation and efficient operation as well as actionable analysis are driving this growth. Edge computing coupled with cloud services and 5G technology increases the adaptability and speed of AI vision solutions, further boosting the market growth.
“Machine learning segment is expected to dominate during the forecast period.”
Machine learning is the backbone to the success of AI-enabled computer vision. Modern techniques, such as deep learning and convolutional neural networks, enable AI to recognize patterns, detect objects, and interpret scenes in real-time. Its swift adoption is transforming various industries-from healthcare diagnostics, to quality control in manufacturing, to customer behavior analytics in retail-where no one will be relying on massive workforces. The increasing visual data from smartphones, sensors, and surveillance cameras, further accelerates the market growth in AI in computer vision. New breakthroughs in edge-based machine learning are enabling AI in computer vision to be faster, smarter, and more widely deployable, creating a window of opportunity across various industries.
continue to grow.
“Consumer electronics segment is expected to hold the largest market share in AI in computer vision market.”
The market for AI in computer vision in consumer electronics is expected to grow rapidly. This is because more and more AI technology is being integrated into smart devices. These include smartphones, wearables, and home appliances. With such capabilities, advanced applications such as facial recognition, object detection, augmented reality, and automated image processing enhance user experience. The increasing demand for such features as AR for gaming, facial recognition as an access method, and automation for smart homes can be considered as the factors that are responsible for pushing the growth of this market.
The high penetration of smart connected devices and the rapid growth of IoT further support this case in the acceptance of AI-based solutions and technologies in consumer electronics. Computer vision powered with AI gives new ways and insights to improve how devices from smartphones to robotic vacuums engage with end-users-more smartly and intuitively.
Growing investments alongside technological advancements are driving this industry. Phiar Technologies, Scandit, and others are creating augmented reality navigation solutions based on AI-enabled computer vision and simplification of data capture processes. Investors recognize the sustained, ever-expanding potential of consumer electronics, boosting advancements in AI. New opportunities will keep coming up for applying AI in consumer electronics therefore further solidifying its strong hold for the future of connected life.
“North America is projected to hold the second largest market share in the AI in computer vision market.”
In the North American region, AI in computer vision market holds a second-largest share because of rapid advancements in technology, a robust innovation ecosystem, and high-scale adoption across industries. Major investments in the US, including AI research institutes and rising collaborations between startups and high-tech companies, have promoted innovation and strengthened the AI infrastructure. Severed companies like Google, Microsoft, and Amazon have influenced the private sector in launching the initiatives to develop AI-based solutions in terms of industries related to healthcare, manufacturing, retail, and others. Within this important aspect, the Canadian government has a focus on responsible AI development and has given a considerable amount of funding for AI infrastructure development and AI research. Mexico is growing its use of AI technologies due to investment in manufacturing automation and cloud infrastructure, which enables small and medium-sized businesses to use AI-powered solutions to improve operational efficiency.
Moreover, strategic partnerships and initiatives like AI integration in Mexico's manufacturing as well as advanced facility construction of AI computing components further develop the region's capabilities. In this way, strong government and private sectors' support for advanced computing resources fuels the AI in computer vision market in North America. Further market growth is facilitated by increased AI infrastructure adoption across industries as well as improvement in AI technologies.
The study includes an in-depth competitive analysis of these key players in the AI in computer vision market, as well as their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI in computer vision market by various machine learning models (Supervised Learning, Unsupervised Learning, Reinforcement Learning), by use case (Object Detection, Image Recognition, Facial Recognition, Motion Analysis, and Machine Vision), by offering (Cameras, Frame Grabbers, Optics, LED Lighting, Processors, AI Vision Software, and AI Platforms), by technology (Machine Learning (Deep Learning, and Convolutional Neural Networks), and Generative AI), by function (Training, and Inference), by application (Quality Assurance & Inspection, Measurement, Identification, Predictive Maintenance, Positioning & Guidance), by end-user (Automotive, Consumer Electronics, Healthcare, retail, Security & Surveillance, Manufacturing, Agriculture, Transportation & Logistics, and Others), 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 in computer 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 in computer vision market. This report covers the competitive analysis of upcoming startups in the AI in computer 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 in computer 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:
“Machine learning segment is expected to dominate during the forecast period.”
Machine learning is the backbone to the success of AI-enabled computer vision. Modern techniques, such as deep learning and convolutional neural networks, enable AI to recognize patterns, detect objects, and interpret scenes in real-time. Its swift adoption is transforming various industries-from healthcare diagnostics, to quality control in manufacturing, to customer behavior analytics in retail-where no one will be relying on massive workforces. The increasing visual data from smartphones, sensors, and surveillance cameras, further accelerates the market growth in AI in computer vision. New breakthroughs in edge-based machine learning are enabling AI in computer vision to be faster, smarter, and more widely deployable, creating a window of opportunity across various industries.
continue to grow.
“Consumer electronics segment is expected to hold the largest market share in AI in computer vision market.”
The market for AI in computer vision in consumer electronics is expected to grow rapidly. This is because more and more AI technology is being integrated into smart devices. These include smartphones, wearables, and home appliances. With such capabilities, advanced applications such as facial recognition, object detection, augmented reality, and automated image processing enhance user experience. The increasing demand for such features as AR for gaming, facial recognition as an access method, and automation for smart homes can be considered as the factors that are responsible for pushing the growth of this market.
The high penetration of smart connected devices and the rapid growth of IoT further support this case in the acceptance of AI-based solutions and technologies in consumer electronics. Computer vision powered with AI gives new ways and insights to improve how devices from smartphones to robotic vacuums engage with end-users-more smartly and intuitively.
Growing investments alongside technological advancements are driving this industry. Phiar Technologies, Scandit, and others are creating augmented reality navigation solutions based on AI-enabled computer vision and simplification of data capture processes. Investors recognize the sustained, ever-expanding potential of consumer electronics, boosting advancements in AI. New opportunities will keep coming up for applying AI in consumer electronics therefore further solidifying its strong hold for the future of connected life.
“North America is projected to hold the second largest market share in the AI in computer vision market.”
In the North American region, AI in computer vision market holds a second-largest share because of rapid advancements in technology, a robust innovation ecosystem, and high-scale adoption across industries. Major investments in the US, including AI research institutes and rising collaborations between startups and high-tech companies, have promoted innovation and strengthened the AI infrastructure. Severed companies like Google, Microsoft, and Amazon have influenced the private sector in launching the initiatives to develop AI-based solutions in terms of industries related to healthcare, manufacturing, retail, and others. Within this important aspect, the Canadian government has a focus on responsible AI development and has given a considerable amount of funding for AI infrastructure development and AI research. Mexico is growing its use of AI technologies due to investment in manufacturing automation and cloud infrastructure, which enables small and medium-sized businesses to use AI-powered solutions to improve operational efficiency.
Moreover, strategic partnerships and initiatives like AI integration in Mexico's manufacturing as well as advanced facility construction of AI computing components further develop the region's capabilities. In this way, strong government and private sectors' support for advanced computing resources fuels the AI in computer vision market in North America. Further market growth is facilitated by increased AI infrastructure adoption across industries as well as improvement in AI technologies.
- By Company Type: Tier 1 – 45%, Tier 2 – 30%, and Tier 3 – 25%
- By Designation: C-level Executives – 30%, Directors – 32%, and Others – 38%
- By Region: North America– 32%, Europe – 20%, Asia Pacific– 43% and RoW- 5%
The study includes an in-depth competitive analysis of these key players in the AI in computer vision market, as well as their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI in computer vision market by various machine learning models (Supervised Learning, Unsupervised Learning, Reinforcement Learning), by use case (Object Detection, Image Recognition, Facial Recognition, Motion Analysis, and Machine Vision), by offering (Cameras, Frame Grabbers, Optics, LED Lighting, Processors, AI Vision Software, and AI Platforms), by technology (Machine Learning (Deep Learning, and Convolutional Neural Networks), and Generative AI), by function (Training, and Inference), by application (Quality Assurance & Inspection, Measurement, Identification, Predictive Maintenance, Positioning & Guidance), by end-user (Automotive, Consumer Electronics, Healthcare, retail, Security & Surveillance, Manufacturing, Agriculture, Transportation & Logistics, and Others), 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 in computer 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 in computer vision market. This report covers the competitive analysis of upcoming startups in the AI in computer 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 in computer 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 (Advancements in hardware such as GPUs, TPUs, and edge devices, Growing role of cloud computing in enhancing computer vision capabilities, Increasing adoption of edge computing), restraints (Data privacy and security concerns), opportunities (Rapid innovations in healthcare, Automation in manufacturing and industry 4.0), and challenges (High data storage and management costs, Integrating AI within existing systems) influencing the growth of the AI in computer vision market
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in computer vision market
- Market Development: The report provides comprehensive information about lucrative markets and analyses the AI in computer vision market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in computer vision market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the AI in computer vision market, such as NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), Sony Group Corporation (Japan), OMRON Corporation (Japan), KEYENCE CORPORATION (Japan), SICK AG (Germany), Teledyne Technologies (US), Texas Instruments Incorporated (US), Basler AG (Germany), and Hailo Technologies Ltd. (Israel), among others in the AI in computer 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 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 MARKET STAKEHOLDERS
1.8 SUMMARY OF CHANGES
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 ANALYSIS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN COMPUTER VISION MARKET
4.2 AI IN COMPUTER VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL
4.3 AI IN COMPUTER VISION MARKET IN ASIA PACIFIC, BY VERTICAL
4.4 AI IN COMPUTER VISION MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rapid advances in graphics processing units and edge devices
5.2.1.2 Growing awareness about role of cloud platforms in enhancing computer vision capabilities
5.2.1.3 Rising emphasis on edge inferencing
5.2.2 RESTRAINTS
5.2.2.1 Data privacy and security issues
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing innovation in healthcare technology
5.2.3.2 Rapid digital transformation in manufacturing sector
5.2.4 CHALLENGES
5.2.4.1 High data storage and management costs
5.2.4.2 Complexities associated with integrating AI into existing technological infrastructure
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 OF KEY PLAYERS, BY OFFERING, 2024
5.6.2 AVERAGE SELLING PRICE TREND, BY AI CAMERA, 2021–2023
5.6.3 AVERAGE SELLING PRICE TREND OF AI CAMERAS, BY REGION, 2021–2023
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Edge inferencing
5.7.1.2 Machine learning
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Natural language processing
5.7.2.2 Internet of Things (IoT)
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Cloud computing
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 NOTA LEVERAGES NVIDIA CORPORATION’S EDGE GPUS AND DEEP LEARNING SDKS TO OPTIMIZE TRAFFIC FLOW
5.10.2 APP-TECHS INTEGRATES IRONYUN, INC.’S VAIDIO AI VISION PLATFORM TO ENHANCE CLIENT’S SECURITY SYSTEMS
5.10.3 SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION AI-POWERED VISUAL INSPECTION TOOL TO DETECT DEFECTS IN BEARING THREATS
5.10.4 VELUX ADOPTS SICK AG’S APPSPACE PLATFORM-INTEGRATED DEEP LEARNING TECHNOLOGY TO AUTOMATE COMPLEX INSPECTION TASKS
5.10.5 SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION TOOL TO IMPROVE TABLET INSPECTION ACCURACY AND EFFICIENCY
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 TRADE ANALYSIS
5.12.1 IMPORT SCENARIO (HS CODE 8471)
5.12.2 EXPORT SCENARIO (HS CODE 8471)
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 OF AI IN COMPUTER VISION
6.1 INTRODUCTION
6.2 OBJECT DETECTION
6.3 IMAGE RECOGNITION
6.4 FACIAL RECOGNITION
6.5 MOTION ANALYSIS
6.6 MACHINE VISION
7 MACHINE LEARNING MODELS USED IN AI-BASED COMPUTER VISION
7.1 INTRODUCTION
7.2 SUPERVISED LEARNING
7.3 UNSUPERVISED LEARNING
7.4 REINFORCEMENT LEARNING
8 AI IN COMPUTER VISION MARKET, BY APPLICATION
8.1 INTRODUCTION
8.2 QUALITY ASSURANCE & INSPECTION
8.2.1 RISING DEMAND FOR AUTOMATED QUALITY CHECKS TO DRIVE SEGMENTAL GROWTH
8.2.2 DEFECT DETECTION
8.2.3 SURFACE INSPECTION
8.2.4 CONTAINMENT DETECTION
8.2.5 PACKING & LABELLING INSPECTION
8.3 MEASUREMENT
8.3.1 ADVANCEMENTS IN 3D MEASUREMENT SYSTEMS TO DRIVE MARKET
8.3.2 3D MEASUREMENT & PROFILING
8.3.3 SITE MEASUREMENT & MONITORING
8.4 IDENTIFICATION
8.4.1 GROWING ADOPTION OF FACE RECOGNITION IN GOVERNMENT SERVICES TO ACCELERATE DEMAND
8.4.2 PERSON IDENTIFICATION
8.4.3 PRODUCT RECOGNITION
8.5 PREDICTIVE MAINTENANCE
8.5.1 ENHANCING EQUIPMENT RELIABILITY AND OPERATIONAL EFFICIENCY TO FUEL MARKET GROWTH
8.5.2 MACHINE HEALTH MONITORING
8.5.3 WEAR & TEAR DETECTION
8.6 POSITIONING & GUIDANCE
8.6.1 GROWING ADOPTION OF ROBOTIC ARMS WITH AI-POWERED COMPUTER VISION SYSTEMS TO DRIVE MARKET
8.6.2 ROBOTIC ARM GUIDANCE
8.6.3 AUTOMATED GUIDED VEHICLES
9 AI IN COMPUTER VISION MARKET, BY FUNCTION
9.1 INTRODUCTION
9.2 TRAINING
9.2.1 RISING DEMAND FOR HIGH-QUALITY TRAINING DATA TO ACCELERATE MARKET GROWTH
9.3 INFERENCE
9.3.1 RISING INVESTMENTS IN AI HARDWARE AND INFERENCE SOLUTIONS TO STIMULATE MARKET GROWTH
10 AI IN COMPUTER VISION MARKET, BY TECHNOLOGY
10.1 INTRODUCTION
10.2 MACHINE LEARNING
10.2.1 DEEP LEARNING
10.2.1.1 Rising investments in deep learning research to foster market growth
10.2.2 CONVOLUTIONAL NEURAL NETWORKS
10.2.2.1 Rising demand for edge-based AI solutions to boost segmental growth
10.3 GENERATIVE AI
10.3.1 RISING NEED FOR PERSONALIZED AND CUSTOM CONTENT TO SUPPORT MARKET GROWTH
11 AI IN COMPUTER VISION MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 AUTOMOTIVE
11.2.1 INTEGRATION OF AI IN ADVANCED DRIVER ASSISTANCE SYSTEMS TO BOOST DEMAND
11.2.2 ADAS
11.2.3 IN-VEHICLE MONITORING SYSTEMS
11.2.4 AUTONOMOUS VEHICLES
11.3 CONSUMER ELECTRONICS
11.3.1 INCREASING ADOPTION OF AUGMENTED REALITY IN CONSUMER ELECTRONICS TO DRIVE MARKET
11.3.2 SMARTPHONES AND TABLETS
11.3.3 SMART HOME DEVICES
11.3.4 AR/VR
11.4 HEALTHCARE
11.4.1 AI-DRIVEN PATIENT MONITORING AND OUTCOME PREDICTION TO ACCELERATE MARKET GROWTH
11.4.2 MEDICAL IMAGING
11.4.3 PATIENT MONITORING
11.4.4 SURGICAL ASSISTANCE
11.5 RETAIL
11.5.1 INCREASING FOCUS ON LOSS PREVENTION SOLUTIONS TO FUEL MARKET GROWTH
11.5.2 CUSTOMER EXPERIENCE MANAGEMENT
11.5.3 INVENTORY MANAGEMENT
11.6 SECURITY AND SURVEILLANCE
11.6.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
11.6.2 CRIME DETECTION
11.6.3 INTRUSION DETECTION
11.6.4 LICENSE PLATE RECOGNITION
11.7 MANUFACTURING
11.7.1 INCREASING DEMAND FOR AUTOMATED ASSEMBLY LINE MONITORING SYSTEMS TO STIMULATE DEMAND
11.7.2 QUALITY INSPECTION
11.7.3 PREDICTIVE MAINTENANCE
11.8 AGRICULTURE
11.8.1 GROWING DEMAND FOR AI-DRIVEN CROP MONITORING SOLUTIONS TO FUEL SEGMENT GROWTH
11.8.2 CROP MONITORING
11.8.3 LIVESTOCK MANAGEMENT
11.8.4 PRECISION AGRICULTURE
11.9 TRANSPORTATION & LOGISTICS
11.9.1 GROWING NEED FOR AUTOMATION IN WAREHOUSING AND DISTRIBUTION HUBS TO BOOST SEGMENTAL GROWTH
11.9.2 FLEET MANAGEMENT
11.9.3 DRIVER BEHAVIOR ANALYSIS
11.9.4 ROUTE OPTIMIZATION
11.9.5 INVENTORY TRACKING
11.10 OTHER VERTICALS
12 AI IN COMPUTER VISION MARKET, BY OFFERING
12.1 INTRODUCTION
12.2 CAMERAS
12.2.1 INCREASING INTEGRATION OF AI TECHNOLOGY IN CAMERAS TO DRIVE SEGMENTAL GROWTH
12.3 FRAME GRABBERS
12.3.1 INCREASING USE OF FRAME GRABBERS FOR REAL-TIME IMAGE PROCESSING TO BOOST DEMAND
12.4 OPTICS
12.4.1 GROWING IMPORTANCE OF ADVANCED OPTICS IN AUTONOMOUS VEHICLES TO ACCELERATE MARKET GROWTH
12.5 LED LIGHTING
12.5.1 EXPANDING APPLICATIONS OF LED LIGHTING IN HEALTHCARE AND MANUFACTURING TO FUEL SEGMENTAL GROWTH
12.6 PROCESSORS
12.6.1 CPU
12.6.1.1 Rising integration of CPUs in edge AI devices to drive market
12.6.2 GPU
12.6.2.1 Rapid image processing feature to support market growth
12.6.3 ASIC
12.6.3.1 Growing role of ASICs in optimizing AI inference and training to stimulate market growth
12.6.4 FPGA
12.6.4.1 Surging adoption of FPGAs in edge computing to address latency-related challenges to fuel market growth
12.7 AI VISION SOFTWARE
12.7.1 INCREASING INVESTMENTS IN AI VISION STARTUPS TO DRIVE MARKET
12.8 AI PLATFORMS
12.8.1 RISING ADOPTION OF REAL-TIME DATA PROCESSING TECHNOLOGIES TO DRIVE SEGMENTAL GROWTH
13 AI IN COMPUTER VISION MARKET, BY REGION
13.1 INTRODUCTION
13.2 NORTH AMERICA
13.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
13.2.2 US
13.2.2.1 Increasing government-led investments and rising AI startups to drive market
13.2.3 CANADA
13.2.3.1 Strategic government investments in AI infrastructure to fuel market growth
13.2.4 MEXICO
13.2.4.1 Rising funding for AI infrastructure development to boost demand
13.3 EUROPE
13.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
13.3.2 UK
13.3.2.1 Strong government support in AI sector to accelerate market growth
13.3.3 GERMANY
13.3.3.1 Rising number of AI startups to contribute to market growth
13.3.4 FRANCE
13.3.4.1 Government investment in AI champions to fuel market growth
13.3.5 ITALY
13.3.5.1 Innovative investments and collaborations between companies to drive market
13.3.6 REST OF EUROPE
13.4 ASIA PACIFIC
13.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
13.4.2 CHINA
13.4.2.1 Government focus on building AI-based ecosystem to fuel market growth
13.4.3 JAPAN
13.4.3.1 Development of AI infrastructure and collaboration with tech giants to stimulate market growth
13.4.4 SOUTH KOREA
13.4.4.1 Innovation in AI software and hardware solutions to drive market growth
13.4.5 INDIA
13.4.5.1 Government-led AI policies and funding programs to support market growth
13.4.6 REST OF ASIA PACIFIC
13.5 ROW
13.5.1 MACROECONOMIC OUTLOOK FOR ROW
13.5.2 MIDDLE EAST
13.5.3 INCREASING INVESTMENTS IN DATA CENTERS AND AI RESEARCH PROJECTS TO SPIKE DEMAND
13.5.3.1 GCC countries
13.5.3.2 Rest of Middle East & Africa
13.5.4 AFRICA
13.5.4.1 Africa's launch of continental AI strategy to fuel market growth
13.5.5 SOUTH AMERICA
13.5.5.1 Growing number of AI-based computer vision startups to foster market growth
14 COMPETITIVE LANDSCAPE
14.1 OVERVIEW
14.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
14.3 REVENUE ANALYSIS, 2019–2023
14.4 MARKET SHARE ANALYSIS, 2023
14.5 COMPANY VALUATION AND FINANCIAL METRICS
14.6 BRAND/PRODUCT COMPARISON
14.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
14.7.1 STARS
14.7.2 EMERGING LEADERS
14.7.3 PERVASIVE PLAYERS
14.7.4 PARTICIPANTS
14.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
14.7.5.1 Company footprint
14.7.5.2 Region footprint
14.7.5.3 Offering footprint
14.7.5.4 Technology footprint
14.7.5.5 Function footprint
14.7.5.6 Application footprint
14.7.5.7 Vertical footprint
14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
14.8.1 PROGRESSIVE COMPANIES
14.8.2 RESPONSIVE COMPANIES
14.8.3 DYNAMIC COMPANIES
14.8.4 STARTING BLOCKS
14.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2023
14.8.5.1 Detailed list of startups/SMEs
14.8.5.2 Competitive benchmarking of key startups/SMEs
14.9 COMPETITIVE SCENARIO
14.9.1 PRODUCT LAUNCHES
14.9.2 DEALS
15 COMPANY PROFILES
15.1 KEY PLAYERS
15.1.1 NVIDIA CORPORATION
15.1.1.1 Business overview
15.1.1.2 Products/Solutions/Services offered
15.1.1.3 Recent developments
15.1.1.3.1 Product launches
15.1.1.4 MnM view
15.1.1.4.1 Key strengths/Right to win
15.1.1.4.2 Strategic choices
15.1.1.4.3 Weaknesses/Competitive threats
15.1.2 MICROSOFT CORPORATION
15.1.2.1 Business overview
15.1.2.2 Products/Solutions/Services offered
15.1.2.3 Recent developments
15.1.2.3.1 Product launches
15.1.2.3.2 Deals
15.1.2.4 MnM view
15.1.2.4.1 Key strengths/Right to win
15.1.2.4.2 Strategic choices
15.1.2.4.3 Weaknesses/Competitive threats
15.1.3 ALPHABET INC.
15.1.3.1 Business overview
15.1.3.2 Products/Solutions/Services offered
15.1.3.3 MnM view
15.1.3.3.1 Key strengths/Right to win
15.1.3.3.2 Strategic choices
15.1.3.3.3 Weaknesses/Competitive threats
15.1.4 AMAZON.COM, INC.
15.1.4.1 Business overview
15.1.4.2 Products/Solutions/Services offered
15.1.4.3 Recent developments
15.1.4.3.1 Product launches
15.1.4.4 MnM view
15.1.4.4.1 Key strengths/Right to win
15.1.4.4.2 Strategic choices
15.1.4.4.3 Weaknesses/Competitive threats
15.1.5 INTEL CORPORATION
15.1.5.1 Business overview
15.1.5.2 Products/Solutions/Services offered
15.1.5.3 Recent developments
15.1.5.3.1 Product launches
15.1.5.4 MnM view
15.1.5.4.1 Key strengths/Right to win
15.1.5.4.2 Strategic choices
15.1.5.4.3 Weaknesses/Competitive threats
15.1.6 COGNEX CORPORATION
15.1.6.1 Business overview
15.1.6.2 Products/Solutions/Services offered
15.1.6.3 Recent developments
15.1.6.3.1 Product launches
15.1.7 QUALCOMM TECHNOLOGIES, INC.
15.1.7.1 Business overview
15.1.7.2 Products/Solutions/Services offered
15.1.7.3 Recent developments
15.1.7.3.1 Product launches
15.1.7.3.2 Deals
15.1.8 SONY GROUP CORPORATION
15.1.8.1 Business overview
15.1.8.2 Products/Solutions/Services offered
15.1.8.3 Recent developments
15.1.8.3.1 Product launches
15.1.9 OMRON CORPORATION
15.1.9.1 Business overview
15.1.9.2 Products/Solutions/Services offered
15.1.9.3 Recent developments
15.1.9.3.1 Product launches
15.1.9.3.2 Deals
15.1.10 KEYENCE CORPORATION
15.1.10.1 Business overview
15.1.10.2 Products/Solutions/Services offered
15.1.10.3 Recent developments
15.1.10.3.1 Product launches
15.1.11 SICK AG
15.1.11.1 Business overview
15.1.11.2 Products/Solutions/Services offered
15.1.11.3 Recent developments
15.1.11.3.1 Product launches
15.1.11.3.2 Deals
15.1.12 TELEDYNE TECHNOLOGIES INCORPORATED
15.1.12.1 Business overview
15.1.12.2 Products/Solutions/Services offered
15.1.12.3 Recent developments
15.1.12.3.1 Product launches
15.1.12.3.2 Deals
15.1.13 TEXAS INSTRUMENTS INCORPORATED
15.1.13.1 Business overview
15.1.13.2 Products/Solutions/Services offered
15.1.13.3 Recent developments
15.1.13.3.1 Product launches
15.1.13.3.2 Deals
15.1.14 BASLER AG
15.1.14.1 Business overview
15.1.14.2 Products/Solutions/Services offered
15.1.14.3 Recent developments
15.1.14.3.1 Product launches
15.1.14.3.2 Deals
15.1.15 HAILO TECHNOLOGIES LTD
15.1.15.1 Business overview
15.1.15.2 Products/Solutions/Services offered
15.1.15.3 Recent developments
15.1.15.3.1 Product launches
15.1.15.3.2 Deals
15.2 OTHER PLAYERS
15.2.1 SIGHTHOUND, INC.
15.2.2 NEURALA, INC.
15.2.3 DATAGEN TECHNOLOGIES
15.2.4 GRAPHCORE
15.2.5 ROBOTIC VISION TECHNOLOGIES INC.
15.2.6 CUREMETRIX, INC.
15.2.7 SNORKEL AI, INC.
15.2.8 AMP
15.2.9 VISO.AI
15.2.10 LANDINGAI
16 APPENDIX
16.1 DISCUSSION GUIDE
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.3 CUSTOMIZATION OPTIONS
16.4 RELATED REPORTS
16.5 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 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 MARKET STAKEHOLDERS
1.8 SUMMARY OF CHANGES
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 ANALYSIS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN COMPUTER VISION MARKET
4.2 AI IN COMPUTER VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL
4.3 AI IN COMPUTER VISION MARKET IN ASIA PACIFIC, BY VERTICAL
4.4 AI IN COMPUTER VISION MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rapid advances in graphics processing units and edge devices
5.2.1.2 Growing awareness about role of cloud platforms in enhancing computer vision capabilities
5.2.1.3 Rising emphasis on edge inferencing
5.2.2 RESTRAINTS
5.2.2.1 Data privacy and security issues
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing innovation in healthcare technology
5.2.3.2 Rapid digital transformation in manufacturing sector
5.2.4 CHALLENGES
5.2.4.1 High data storage and management costs
5.2.4.2 Complexities associated with integrating AI into existing technological infrastructure
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 OF KEY PLAYERS, BY OFFERING, 2024
5.6.2 AVERAGE SELLING PRICE TREND, BY AI CAMERA, 2021–2023
5.6.3 AVERAGE SELLING PRICE TREND OF AI CAMERAS, BY REGION, 2021–2023
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Edge inferencing
5.7.1.2 Machine learning
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Natural language processing
5.7.2.2 Internet of Things (IoT)
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Cloud computing
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 NOTA LEVERAGES NVIDIA CORPORATION’S EDGE GPUS AND DEEP LEARNING SDKS TO OPTIMIZE TRAFFIC FLOW
5.10.2 APP-TECHS INTEGRATES IRONYUN, INC.’S VAIDIO AI VISION PLATFORM TO ENHANCE CLIENT’S SECURITY SYSTEMS
5.10.3 SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION AI-POWERED VISUAL INSPECTION TOOL TO DETECT DEFECTS IN BEARING THREATS
5.10.4 VELUX ADOPTS SICK AG’S APPSPACE PLATFORM-INTEGRATED DEEP LEARNING TECHNOLOGY TO AUTOMATE COMPLEX INSPECTION TASKS
5.10.5 SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION TOOL TO IMPROVE TABLET INSPECTION ACCURACY AND EFFICIENCY
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 TRADE ANALYSIS
5.12.1 IMPORT SCENARIO (HS CODE 8471)
5.12.2 EXPORT SCENARIO (HS CODE 8471)
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 OF AI IN COMPUTER VISION
6.1 INTRODUCTION
6.2 OBJECT DETECTION
6.3 IMAGE RECOGNITION
6.4 FACIAL RECOGNITION
6.5 MOTION ANALYSIS
6.6 MACHINE VISION
7 MACHINE LEARNING MODELS USED IN AI-BASED COMPUTER VISION
7.1 INTRODUCTION
7.2 SUPERVISED LEARNING
7.3 UNSUPERVISED LEARNING
7.4 REINFORCEMENT LEARNING
8 AI IN COMPUTER VISION MARKET, BY APPLICATION
8.1 INTRODUCTION
8.2 QUALITY ASSURANCE & INSPECTION
8.2.1 RISING DEMAND FOR AUTOMATED QUALITY CHECKS TO DRIVE SEGMENTAL GROWTH
8.2.2 DEFECT DETECTION
8.2.3 SURFACE INSPECTION
8.2.4 CONTAINMENT DETECTION
8.2.5 PACKING & LABELLING INSPECTION
8.3 MEASUREMENT
8.3.1 ADVANCEMENTS IN 3D MEASUREMENT SYSTEMS TO DRIVE MARKET
8.3.2 3D MEASUREMENT & PROFILING
8.3.3 SITE MEASUREMENT & MONITORING
8.4 IDENTIFICATION
8.4.1 GROWING ADOPTION OF FACE RECOGNITION IN GOVERNMENT SERVICES TO ACCELERATE DEMAND
8.4.2 PERSON IDENTIFICATION
8.4.3 PRODUCT RECOGNITION
8.5 PREDICTIVE MAINTENANCE
8.5.1 ENHANCING EQUIPMENT RELIABILITY AND OPERATIONAL EFFICIENCY TO FUEL MARKET GROWTH
8.5.2 MACHINE HEALTH MONITORING
8.5.3 WEAR & TEAR DETECTION
8.6 POSITIONING & GUIDANCE
8.6.1 GROWING ADOPTION OF ROBOTIC ARMS WITH AI-POWERED COMPUTER VISION SYSTEMS TO DRIVE MARKET
8.6.2 ROBOTIC ARM GUIDANCE
8.6.3 AUTOMATED GUIDED VEHICLES
9 AI IN COMPUTER VISION MARKET, BY FUNCTION
9.1 INTRODUCTION
9.2 TRAINING
9.2.1 RISING DEMAND FOR HIGH-QUALITY TRAINING DATA TO ACCELERATE MARKET GROWTH
9.3 INFERENCE
9.3.1 RISING INVESTMENTS IN AI HARDWARE AND INFERENCE SOLUTIONS TO STIMULATE MARKET GROWTH
10 AI IN COMPUTER VISION MARKET, BY TECHNOLOGY
10.1 INTRODUCTION
10.2 MACHINE LEARNING
10.2.1 DEEP LEARNING
10.2.1.1 Rising investments in deep learning research to foster market growth
10.2.2 CONVOLUTIONAL NEURAL NETWORKS
10.2.2.1 Rising demand for edge-based AI solutions to boost segmental growth
10.3 GENERATIVE AI
10.3.1 RISING NEED FOR PERSONALIZED AND CUSTOM CONTENT TO SUPPORT MARKET GROWTH
11 AI IN COMPUTER VISION MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 AUTOMOTIVE
11.2.1 INTEGRATION OF AI IN ADVANCED DRIVER ASSISTANCE SYSTEMS TO BOOST DEMAND
11.2.2 ADAS
11.2.3 IN-VEHICLE MONITORING SYSTEMS
11.2.4 AUTONOMOUS VEHICLES
11.3 CONSUMER ELECTRONICS
11.3.1 INCREASING ADOPTION OF AUGMENTED REALITY IN CONSUMER ELECTRONICS TO DRIVE MARKET
11.3.2 SMARTPHONES AND TABLETS
11.3.3 SMART HOME DEVICES
11.3.4 AR/VR
11.4 HEALTHCARE
11.4.1 AI-DRIVEN PATIENT MONITORING AND OUTCOME PREDICTION TO ACCELERATE MARKET GROWTH
11.4.2 MEDICAL IMAGING
11.4.3 PATIENT MONITORING
11.4.4 SURGICAL ASSISTANCE
11.5 RETAIL
11.5.1 INCREASING FOCUS ON LOSS PREVENTION SOLUTIONS TO FUEL MARKET GROWTH
11.5.2 CUSTOMER EXPERIENCE MANAGEMENT
11.5.3 INVENTORY MANAGEMENT
11.6 SECURITY AND SURVEILLANCE
11.6.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
11.6.2 CRIME DETECTION
11.6.3 INTRUSION DETECTION
11.6.4 LICENSE PLATE RECOGNITION
11.7 MANUFACTURING
11.7.1 INCREASING DEMAND FOR AUTOMATED ASSEMBLY LINE MONITORING SYSTEMS TO STIMULATE DEMAND
11.7.2 QUALITY INSPECTION
11.7.3 PREDICTIVE MAINTENANCE
11.8 AGRICULTURE
11.8.1 GROWING DEMAND FOR AI-DRIVEN CROP MONITORING SOLUTIONS TO FUEL SEGMENT GROWTH
11.8.2 CROP MONITORING
11.8.3 LIVESTOCK MANAGEMENT
11.8.4 PRECISION AGRICULTURE
11.9 TRANSPORTATION & LOGISTICS
11.9.1 GROWING NEED FOR AUTOMATION IN WAREHOUSING AND DISTRIBUTION HUBS TO BOOST SEGMENTAL GROWTH
11.9.2 FLEET MANAGEMENT
11.9.3 DRIVER BEHAVIOR ANALYSIS
11.9.4 ROUTE OPTIMIZATION
11.9.5 INVENTORY TRACKING
11.10 OTHER VERTICALS
12 AI IN COMPUTER VISION MARKET, BY OFFERING
12.1 INTRODUCTION
12.2 CAMERAS
12.2.1 INCREASING INTEGRATION OF AI TECHNOLOGY IN CAMERAS TO DRIVE SEGMENTAL GROWTH
12.3 FRAME GRABBERS
12.3.1 INCREASING USE OF FRAME GRABBERS FOR REAL-TIME IMAGE PROCESSING TO BOOST DEMAND
12.4 OPTICS
12.4.1 GROWING IMPORTANCE OF ADVANCED OPTICS IN AUTONOMOUS VEHICLES TO ACCELERATE MARKET GROWTH
12.5 LED LIGHTING
12.5.1 EXPANDING APPLICATIONS OF LED LIGHTING IN HEALTHCARE AND MANUFACTURING TO FUEL SEGMENTAL GROWTH
12.6 PROCESSORS
12.6.1 CPU
12.6.1.1 Rising integration of CPUs in edge AI devices to drive market
12.6.2 GPU
12.6.2.1 Rapid image processing feature to support market growth
12.6.3 ASIC
12.6.3.1 Growing role of ASICs in optimizing AI inference and training to stimulate market growth
12.6.4 FPGA
12.6.4.1 Surging adoption of FPGAs in edge computing to address latency-related challenges to fuel market growth
12.7 AI VISION SOFTWARE
12.7.1 INCREASING INVESTMENTS IN AI VISION STARTUPS TO DRIVE MARKET
12.8 AI PLATFORMS
12.8.1 RISING ADOPTION OF REAL-TIME DATA PROCESSING TECHNOLOGIES TO DRIVE SEGMENTAL GROWTH
13 AI IN COMPUTER VISION MARKET, BY REGION
13.1 INTRODUCTION
13.2 NORTH AMERICA
13.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
13.2.2 US
13.2.2.1 Increasing government-led investments and rising AI startups to drive market
13.2.3 CANADA
13.2.3.1 Strategic government investments in AI infrastructure to fuel market growth
13.2.4 MEXICO
13.2.4.1 Rising funding for AI infrastructure development to boost demand
13.3 EUROPE
13.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
13.3.2 UK
13.3.2.1 Strong government support in AI sector to accelerate market growth
13.3.3 GERMANY
13.3.3.1 Rising number of AI startups to contribute to market growth
13.3.4 FRANCE
13.3.4.1 Government investment in AI champions to fuel market growth
13.3.5 ITALY
13.3.5.1 Innovative investments and collaborations between companies to drive market
13.3.6 REST OF EUROPE
13.4 ASIA PACIFIC
13.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
13.4.2 CHINA
13.4.2.1 Government focus on building AI-based ecosystem to fuel market growth
13.4.3 JAPAN
13.4.3.1 Development of AI infrastructure and collaboration with tech giants to stimulate market growth
13.4.4 SOUTH KOREA
13.4.4.1 Innovation in AI software and hardware solutions to drive market growth
13.4.5 INDIA
13.4.5.1 Government-led AI policies and funding programs to support market growth
13.4.6 REST OF ASIA PACIFIC
13.5 ROW
13.5.1 MACROECONOMIC OUTLOOK FOR ROW
13.5.2 MIDDLE EAST
13.5.3 INCREASING INVESTMENTS IN DATA CENTERS AND AI RESEARCH PROJECTS TO SPIKE DEMAND
13.5.3.1 GCC countries
13.5.3.2 Rest of Middle East & Africa
13.5.4 AFRICA
13.5.4.1 Africa's launch of continental AI strategy to fuel market growth
13.5.5 SOUTH AMERICA
13.5.5.1 Growing number of AI-based computer vision startups to foster market growth
14 COMPETITIVE LANDSCAPE
14.1 OVERVIEW
14.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
14.3 REVENUE ANALYSIS, 2019–2023
14.4 MARKET SHARE ANALYSIS, 2023
14.5 COMPANY VALUATION AND FINANCIAL METRICS
14.6 BRAND/PRODUCT COMPARISON
14.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
14.7.1 STARS
14.7.2 EMERGING LEADERS
14.7.3 PERVASIVE PLAYERS
14.7.4 PARTICIPANTS
14.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
14.7.5.1 Company footprint
14.7.5.2 Region footprint
14.7.5.3 Offering footprint
14.7.5.4 Technology footprint
14.7.5.5 Function footprint
14.7.5.6 Application footprint
14.7.5.7 Vertical footprint
14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
14.8.1 PROGRESSIVE COMPANIES
14.8.2 RESPONSIVE COMPANIES
14.8.3 DYNAMIC COMPANIES
14.8.4 STARTING BLOCKS
14.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2023
14.8.5.1 Detailed list of startups/SMEs
14.8.5.2 Competitive benchmarking of key startups/SMEs
14.9 COMPETITIVE SCENARIO
14.9.1 PRODUCT LAUNCHES
14.9.2 DEALS
15 COMPANY PROFILES
15.1 KEY PLAYERS
15.1.1 NVIDIA CORPORATION
15.1.1.1 Business overview
15.1.1.2 Products/Solutions/Services offered
15.1.1.3 Recent developments
15.1.1.3.1 Product launches
15.1.1.4 MnM view
15.1.1.4.1 Key strengths/Right to win
15.1.1.4.2 Strategic choices
15.1.1.4.3 Weaknesses/Competitive threats
15.1.2 MICROSOFT CORPORATION
15.1.2.1 Business overview
15.1.2.2 Products/Solutions/Services offered
15.1.2.3 Recent developments
15.1.2.3.1 Product launches
15.1.2.3.2 Deals
15.1.2.4 MnM view
15.1.2.4.1 Key strengths/Right to win
15.1.2.4.2 Strategic choices
15.1.2.4.3 Weaknesses/Competitive threats
15.1.3 ALPHABET INC.
15.1.3.1 Business overview
15.1.3.2 Products/Solutions/Services offered
15.1.3.3 MnM view
15.1.3.3.1 Key strengths/Right to win
15.1.3.3.2 Strategic choices
15.1.3.3.3 Weaknesses/Competitive threats
15.1.4 AMAZON.COM, INC.
15.1.4.1 Business overview
15.1.4.2 Products/Solutions/Services offered
15.1.4.3 Recent developments
15.1.4.3.1 Product launches
15.1.4.4 MnM view
15.1.4.4.1 Key strengths/Right to win
15.1.4.4.2 Strategic choices
15.1.4.4.3 Weaknesses/Competitive threats
15.1.5 INTEL CORPORATION
15.1.5.1 Business overview
15.1.5.2 Products/Solutions/Services offered
15.1.5.3 Recent developments
15.1.5.3.1 Product launches
15.1.5.4 MnM view
15.1.5.4.1 Key strengths/Right to win
15.1.5.4.2 Strategic choices
15.1.5.4.3 Weaknesses/Competitive threats
15.1.6 COGNEX CORPORATION
15.1.6.1 Business overview
15.1.6.2 Products/Solutions/Services offered
15.1.6.3 Recent developments
15.1.6.3.1 Product launches
15.1.7 QUALCOMM TECHNOLOGIES, INC.
15.1.7.1 Business overview
15.1.7.2 Products/Solutions/Services offered
15.1.7.3 Recent developments
15.1.7.3.1 Product launches
15.1.7.3.2 Deals
15.1.8 SONY GROUP CORPORATION
15.1.8.1 Business overview
15.1.8.2 Products/Solutions/Services offered
15.1.8.3 Recent developments
15.1.8.3.1 Product launches
15.1.9 OMRON CORPORATION
15.1.9.1 Business overview
15.1.9.2 Products/Solutions/Services offered
15.1.9.3 Recent developments
15.1.9.3.1 Product launches
15.1.9.3.2 Deals
15.1.10 KEYENCE CORPORATION
15.1.10.1 Business overview
15.1.10.2 Products/Solutions/Services offered
15.1.10.3 Recent developments
15.1.10.3.1 Product launches
15.1.11 SICK AG
15.1.11.1 Business overview
15.1.11.2 Products/Solutions/Services offered
15.1.11.3 Recent developments
15.1.11.3.1 Product launches
15.1.11.3.2 Deals
15.1.12 TELEDYNE TECHNOLOGIES INCORPORATED
15.1.12.1 Business overview
15.1.12.2 Products/Solutions/Services offered
15.1.12.3 Recent developments
15.1.12.3.1 Product launches
15.1.12.3.2 Deals
15.1.13 TEXAS INSTRUMENTS INCORPORATED
15.1.13.1 Business overview
15.1.13.2 Products/Solutions/Services offered
15.1.13.3 Recent developments
15.1.13.3.1 Product launches
15.1.13.3.2 Deals
15.1.14 BASLER AG
15.1.14.1 Business overview
15.1.14.2 Products/Solutions/Services offered
15.1.14.3 Recent developments
15.1.14.3.1 Product launches
15.1.14.3.2 Deals
15.1.15 HAILO TECHNOLOGIES LTD
15.1.15.1 Business overview
15.1.15.2 Products/Solutions/Services offered
15.1.15.3 Recent developments
15.1.15.3.1 Product launches
15.1.15.3.2 Deals
15.2 OTHER PLAYERS
15.2.1 SIGHTHOUND, INC.
15.2.2 NEURALA, INC.
15.2.3 DATAGEN TECHNOLOGIES
15.2.4 GRAPHCORE
15.2.5 ROBOTIC VISION TECHNOLOGIES INC.
15.2.6 CUREMETRIX, INC.
15.2.7 SNORKEL AI, INC.
15.2.8 AMP
15.2.9 VISO.AI
15.2.10 LANDINGAI
16 APPENDIX
16.1 DISCUSSION GUIDE
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.3 CUSTOMIZATION OPTIONS
16.4 RELATED REPORTS
16.5 AUTHOR DETAILS
