AI In Computer Vision Market Size, Share & Trends

Report Code SE 6211
Published in Dec, 2024, By MarketsandMarkets™
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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

 

AI in Computer Vision Market Size, Share & Trends

The global AI 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. Computer vision aided by artificial intelligence deals with leveraging AI to make it possible for machines to analyze and interpret what they see from the world, such as images and videos. The subfield of AI is used to transform computer science with machine learning and undertake activities such as object identification, image classification, and video analysis. This growth is attributed to the rising trend of using automation and data analytics in various industries, including healthcare, automotive, retail, and security. Its expansion can be attributed to the increasing need for applications like face recognition, traffic analytics, defects in manufacturing, etc. The market growth is driven by developments in AI hardware and AI platforms, the enhancement of ML algorithms, and rising edge computing investments.

AI in Computer Vision Market

Attractive Opportunities in the AI in Computer Vision Market

ASIA PACIFIC

The growth of the AI in computer vision industry in Asia Pacific is driven by advancements in machine learning, increasing adoption across industries, and government support for AI initiatives.

The market growth can be attributed to growing adoption of edge computing and IoT-enabled vision systems.

The presence of established AI in computer vision solution providers, primarily in the US, known for their technological expertise, contributes to the growth of the market in North America.

Acquisitions and product launches & developments are expected to offer lucrative growth opportunities for the market players during the next five years.

Complexities and high costs associated with maintenance and system upgrades pose challenges to the players in the AI in computer vision market.

Global AI in Computer Vision Market Dynamics

DRIVER: Advancements in hardware, such as GPUs, TPUs, and edge devices

Enhancements in hardware technology have emerged as a significant factor that has boosted the development of Al-facilitated computer vision techniques. GPUs, TPUs, and edge devices have evolved with revolutionary technological change, boosting computational speed and efficacy. These enhancements in the overall AI hardware allow for profound architectures in neural networks and substantial machine learning algorithms to analyze visual data. For instance, in December 2024, Intel Corporation introduced the new Intel Arc B-Series GPUs like Intel Arc B580 and B570. These are also based on such a strategy and are highlighted to deliver the industry’s top performance value and are designed to speed up Al's workload.

The availability of AI hardware such as AI cameras, sensors, frame grabbers, optics, and others has mainly influenced computer vision computation by enabling live image and video processing, identification of detailed patterns, and refined training of deep neural networks. Supervising chips with specific Al acceleration, enhanced memory bandwidth, and energy-progressive structures also facilitate market growth. These technologies minimize computational hindrances, decrease processing delays, and make the Al and visual intelligence applicable and more viable for commercial and personal use. This enhanced interactivity between hardware and optimized algorithms further boosts the market growth. .

RESTRAINTS: Data privacy and security concerns

Due to data privacy and security legalities, the growth of AI in computer vision has considerable limitations. Most of these technologies involve managing and analyzing personal data such as images, videos, and biometric data, which are prone to misuse or breach. Such instances may violate privacy rights, legal grievances, and ethical issues, making it hard for organizations to implement such solutions. Legal address and compliance expenses also contribute to the business pressures, alongside identity loss due to improper practices that hinder potential clients and partner opportunities.

AI in computer vision can be affected by algorithmic bias and discrimination in various applications such as face recognition and security. This leads to unfair market outcomes and a slow market adoption process. Also, when making decisions based on sensitive information, the secrets surrounding AI algorithms lack credibility. Therefore, organizations should pay great attention to data management and incorporate technical solutions to enhance privacy. Achieving legal compliance is also imperative in the development of AI systems. Such measures are necessary to avoid various challenges across healthcare, retail, manufacturing, automotive, and security sectors.

 

OPPORTUNITY: Rapid innovations in healthcare

Rapid innovations in the healthcare domain open huge opportunities for Al in computer vision, especially regarding medical imaging and diagnostics. As healthcare technology advances, Al-powered systems have become necessary for analyzing images to identify health conditions and subsequently decide on treatment.

The need for Al-driven visual analysis tools in healthcare is increasing, especially for early disease detection and personalized treatment plans. These developments are expanding the scope of applications for Al in computer vision, leading to heightened demand for advanced imaging solutions. For instance, in April 2024, the World Health Organization (WHO) launched S.A.R.A.H., a digital health assistant that uses Al in computer vision to analyse medical images and enhance patient interaction. This innovation emphasizes the growing role of Al in healthcare, offering more avenues for growth in the computer vision market.

Increasing investment in the healthcare sector is another factor fuelling the market's growth. In June, the Merck Global Health Innovation Fund led a USD 45 million Series D funding round for Qure AI to extend the reach of its AI-enabled imaging solutions to US markets. Qure AI deployed around 2,700 imaging sites worldwide with AI-enhanced detection for diseases, including tuberculosis, lung cancer, and stroke. Such investments support the AI in computer vision market growth.

CHALLENGE: High data storage and management cost

The rapid growth of Al in computer vision needs to be improved by the high costs of storing and managing data, which are essentials for large-scale projects that use massive datasets. Training Al models requires much storage, with some datasets consuming terabytes, especially when it involves high-resolution images and videos. This results in significant financial investments in data centers, cloud storage, and advanced data management systems, which can be a big burden, especially for smaller organizations and startups. These high costs make an entry barrier, restricting market participation and innovation in Al-driven computer vision solutions.

The best solution is to innovate and optimize data storage and management for these organizations. The technology of edge inferencing has become one way of spreading the data processing process away from central storage. Techniques in compressing data, including the machine learning-based image representation technique, are used to minimize storage needs without sacrificing performance. Solutions on cloud storage can offer a pay-as-you-go model that accommodates any organization's size. In addition, federated learning, which allows model training on decentralized devices, minimizes data transfer and storage expenses. These methods not only alleviate financial burdens but also promote the efficiency and accessibility of AI in computer vision, opening advanced visual intelligence to greater participation in the market.m.

AI in Computer Vision Market Ecosystem

The AI in computer vision ecosystem comprises of raw data providers, data processors, cloud storage providers, software and platform developers, and end users. Companies such as NVIDIA Corporation (US), AMD (US), Intel Corporation (US), Qualcomm Technologies, Inc. (US), and others fall into the categories of data processors. Meanwhile, Microsoft Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), and others fall into the category of cloud storage providers. These products are used in applications such as quality assurance & inspection, measurement, identification, predictive maintenance, positioning, and guidance.

Top Companies in AI in Computer Vision Market
 

Based on application, the quality assurance and inspection segment is expected to record the highest CAGR during the forecast period.

AI in computer vision for quality assurance and inspection is becoming popular quickly as industries try to improve product quality. Hand inspection or rule-based vision systems are common practices; however, these methods are neither efficient nor very accurate or scalable. As a direct result of implementing these systems, defects' identification, classification, and localization are entirely automatic.

These systems are used in automobiles, electronics, especially medicine-producing organizations, manufacturing, and many other industries to guarantee quality with fewer mistakes and costs.

Key factors driving this growth include manufacturers’ focus on efficiency and cost reduction. AI tools like Google Cloud’s Visual Inspection AI enable faster, more accurate defect detection, decreasing reliance on manual labor. These scalable solutions enhance quality control across production lines and facilities. Additionally, increased investments are propelling market growth. For example, Eigen Innovations’ USD 2.6 million funding in October 2024 aims to develop AI-enabled thermal inspection solutions, enabling factories to conduct fully automated in-line inspections for consistent product quality and reliability.

AI Vision systems have also proved their versatility across many industries. They examine the quality of welding seams and paints in automotive manufacturing and the faults in the wafers and the chips in semiconductor fabrication. These factors lead to tremendous growth in the market.

Based on function, the training segment is expected to record the highest CAGR during the forecast period.

The training segment constitutes the largest market in the AI in computer vision market since training is a preliminary step for an AI system to understand and interpret visual data. Training of an AI model requires using large data sets in machine learning algorithms to make them learn to classify, detect objects and make decisions. This involves many steps, from selecting the most suitable algorithms, curating datasets, and tuning the models for the best performance. By dealing with variables, inconsistencies, and outliers, training makes AI systems always improve as time goes by, making them proficient and efficient in various tasks.

A significant aspect that is boosting the dominance of the training segment is the insatiable appetite for high-quality and varied datasets. The same AI models are deployed to critical tasks in industries like diagnostics in healthcare, defect detection in automotive, and customer purchase behavior monitoring in retail. Synthetic data has become more used for training purposes, especially where real-life datasets are limited due to privacy regulation concerns. This approach enables practical model training on a wider scale and even solves data scarcity issues. Thus, the training segment is driving growth in the AI in computer vision market.

Based on Region, Asia Pacific Will be the Fastest-Growing Market During the Forecasted Period

The Asia Pacific region dominates the market for AI in computer vision. This growth is driven by the rapid pace of technological advancement, increasing adoption of AI solutions, and solid government support in key economies like China, Japan, South Korea, and India. Major industries such as retail, manufacturing, healthcare, and automotive push the demand for AI to drive greater operational efficiency through automation and customer experience improvement. China has a very powerful AI ecosystem because of government support. Different industries, from manufacturing to transportation, rely on AI-powered computer vision for intelligent quality assurance and fully autonomous systems. Japan is increasing its capabilities in AI through technological innovation and improvement in AI infrastructure coupled with the initiative to strengthen the digital transformation of industries.

South Korea's focus on R&D in AI, complemented by AI integration of industry and logistics, is further driving growth. India also has a mission on AI for localized AI capability development in various areas like healthcare, agriculture, and manufacturing. Such driving factors include the setup of large datasets, developing machine-learning algorithms, and cloud penetration. Thus, all these factors collectively place this region as a leader of AI in the computer vision market while driving innovation for adoption across various other industries.

LARGEST MARKET SHARE IN 2029
CHINA FASTER-GROWING MARKET IN REGION
AI in Computer Vision Market Size and Share

Recent Developments of AI in Computer Vision Market

  • In November 2024, Intel Corporation released a new version, Intel OpenVINO 2024.5, that advances AI in computer vision with optimized runtimes for Intel hardware and enhanced support for large language models. It enables efficient AI deployment across edge, cloud, and local environments for vision applications.
  • In November 2024, Texas Instruments Incorporated introduced the TMS320F28P55x and F29H85x microcontroller series, integrating edge AI and advanced real-time control capabilities. These MCUs enhance fault detection accuracy, decision-making speed, and safety compliance for automotive and industrial applications, advancing system efficiency and sustainability.
  • In October 2024, Teledyne FLIR LLC launched Prism AIMMGen, an ITAR-free AI model generation service that automates the creation of AI and machine learning models using synthetically generated data. This innovative tool significantly reduces costs and development timelines by generating millions of annotated synthetic images, enabling rapid fine-tuning of models for commercial, defense, and first-response applications.
  • In September 2024, Basler AG introduced pylon AI, an innovative AI image analysis software designed for precise and efficient applications. With features like performance benchmarking and no programming requirements, pylon AI simplifies entry into advanced image analysis for diverse industries.
  • In June 2024, Intel Corporation released an updated version of its AI vision software—Intel® Geti™ 2.0.0, offering enhanced features for data labeling, model training, and inferencing to accelerate computer vision development. Existing customers can also upgrade to leverage the latest advancements in Vision AI software.

Key Market Players

AI in Computer Vision Market Report Scope

Report Attribute Details
Estimated Market Size USD 23.42 billion in 2025
Projected Market Size USD 63.48 billion in 2030
Growth Rate Growing at a CAGR of 22.1%
Market size available for years 2021–2030
Base year considered 2024
Forecast period 2025–2030
Forecast units Value (USD Million)
Segments Covered By Offering, By Technology, By Function, By Application, By End User, and By Region
Regions covered North America, Europe, Asia Pacific, and Rest of the World

Key Questions Addressed by the Report

Which are the major companies in the AI in computer vision market? What are their significant strategies to strengthen their market presence?
The major companies in the AI in computer vision market are NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), and Amazon.com, Inc. (US). These players adopt product launches, developments, and acquisitions as major strategies.
What is the potential market for AI in computer vision regarding the region?
The Asia Pacific region is expected to dominate the AI in computer vision market due to advancements in AI technology and increased adoption across various sectors, such as healthcare, manufacturing, and retail, in countries such as China, South Korea, Japan, and India.
What are the opportunities for new market entrants?
There are significant opportunities in the AI in computer vision market for startup companies. These companies provide innovative and diverse product portfolios.
What are the drivers and restraints for the AI in computer vision market?
Factors such as advancements in hardware such as GPUs, TPUs, and edge devices are fueling the growth. Data privacy and security concerns are some of the restraints.
What are the major AI in computer vision end users expected to drive the market's growth in the next five years?
The major end users for AI in computer vision are consumer electronics, security & surveillance, automotive, healthcare, and manufacturing.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
27
RESEARCH METHODOLOGY
33
EXECUTIVE SUMMARY
45
PREMIUM INSIGHTS
49
MARKET OVERVIEW
52
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Rapid advances in graphics processing units and edge devices
    - Growing awareness about role of cloud platforms in enhancing computer vision capabilities
    - Rising emphasis on edge inferencing
    RESTRAINTS
    - Data privacy and security issues
    OPPORTUNITIES
    - Increasing innovation in healthcare technology
    - Rapid digital transformation in manufacturing sector
    CHALLENGES
    - High data storage and management costs
    - 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
    AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING, 2024
    AVERAGE SELLING PRICE TREND, BY AI CAMERA, 2021–2023
    AVERAGE SELLING PRICE TREND OF AI CAMERAS, BY REGION, 2021–2023
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Edge inferencing
    - Machine learning
    COMPLEMENTARY TECHNOLOGIES
    - Natural language processing
    - Internet of Things (IoT)
    ADJACENT TECHNOLOGIES
    - Cloud computing
  • 5.8 PORTER’S FIVE FORCES ANALYSIS
    INTENSITY OF COMPETITIVE RIVALRY
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    THREAT OF SUBSTITUTES
    THREAT OF NEW ENTRANTS
  • 5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.10 CASE STUDY ANALYSIS
    NOTA LEVERAGES NVIDIA CORPORATION’S EDGE GPUS AND DEEP LEARNING SDKS TO OPTIMIZE TRAFFIC FLOW
    APP-TECHS INTEGRATES IRONYUN, INC.’S VAIDIO AI VISION PLATFORM TO ENHANCE CLIENT’S SECURITY SYSTEMS
    SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION AI-POWERED VISUAL INSPECTION TOOL TO DETECT DEFECTS IN BEARING THREATS
    VELUX ADOPTS SICK AG’S APPSPACE PLATFORM-INTEGRATED DEEP LEARNING TECHNOLOGY TO AUTOMATE COMPLEX INSPECTION TASKS
    SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION TOOL TO IMPROVE TABLET INSPECTION ACCURACY AND EFFICIENCY
  • 5.11 INVESTMENT AND FUNDING SCENARIO
  • 5.12 TRADE ANALYSIS
    IMPORT SCENARIO (HS CODE 8471)
    EXPORT SCENARIO (HS CODE 8471)
  • 5.13 PATENT ANALYSIS
  • 5.14 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.15 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    STANDARDS AND REGULATIONS
USE CASES OF AI IN COMPUTER VISION
85
  • 6.1 INTRODUCTION
  • 6.2 OBJECT DETECTION
  • 6.3 IMAGE RECOGNITION
  • 6.4 FACIAL RECOGNITION
  • 6.5 MOTION ANALYSIS
  • 6.6 MACHINE VISION
MACHINE LEARNING MODELS USED IN AI-BASED COMPUTER VISION
88
  • 7.1 INTRODUCTION
  • 7.2 SUPERVISED LEARNING
  • 7.3 UNSUPERVISED LEARNING
  • 7.4 REINFORCEMENT LEARNING
AI IN COMPUTER VISION MARKET, BY APPLICATION
90
  • 8.1 INTRODUCTION
  • 8.2 QUALITY ASSURANCE & INSPECTION
    RISING DEMAND FOR AUTOMATED QUALITY CHECKS TO DRIVE SEGMENTAL GROWTH
    DEFECT DETECTION
    SURFACE INSPECTION
    CONTAINMENT DETECTION
    PACKING & LABELLING INSPECTION
  • 8.3 MEASUREMENT
    ADVANCEMENTS IN 3D MEASUREMENT SYSTEMS TO DRIVE MARKET
    3D MEASUREMENT & PROFILING
    SITE MEASUREMENT & MONITORING
  • 8.4 IDENTIFICATION
    GROWING ADOPTION OF FACE RECOGNITION IN GOVERNMENT SERVICES TO ACCELERATE DEMAND
    PERSON IDENTIFICATION
    PRODUCT RECOGNITION
  • 8.5 PREDICTIVE MAINTENANCE
    ENHANCING EQUIPMENT RELIABILITY AND OPERATIONAL EFFICIENCY TO FUEL MARKET GROWTH
    MACHINE HEALTH MONITORING
    WEAR & TEAR DETECTION
  • 8.6 POSITIONING & GUIDANCE
    GROWING ADOPTION OF ROBOTIC ARMS WITH AI-POWERED COMPUTER VISION SYSTEMS TO DRIVE MARKET
    ROBOTIC ARM GUIDANCE
    AUTOMATED GUIDED VEHICLES
AI IN COMPUTER VISION MARKET, BY FUNCTION
101
  • 9.1 INTRODUCTION
  • 9.2 TRAINING
    RISING DEMAND FOR HIGH-QUALITY TRAINING DATA TO ACCELERATE MARKET GROWTH
  • 9.3 INFERENCE
    RISING INVESTMENTS IN AI HARDWARE AND INFERENCE SOLUTIONS TO STIMULATE MARKET GROWTH
    AI IN COMPUTER VISION MARKET, BY TECHNOLOGY
AI IN COMPUTER VISION MARKET, BY TECHNOLOGY
111
  • 10.1 INTRODUCTION
  • 10.2 MACHINE LEARNING
    DEEP LEARNING
    - Rising investments in deep learning research to foster market growth
    CONVOLUTIONAL NEURAL NETWORKS
    - Rising demand for edge-based AI solutions to boost segmental growth
  • 10.3 GENERATIVE AI
    RISING NEED FOR PERSONALIZED AND CUSTOM CONTENT TO SUPPORT MARKET GROWTH
AI IN COMPUTER VISION MARKET, BY VERTICAL
118
  • 11.1 INTRODUCTION
  • 11.2 AUTOMOTIVE
    INTEGRATION OF AI IN ADVANCED DRIVER ASSISTANCE SYSTEMS TO BOOST DEMAND
    ADAS
    IN-VEHICLE MONITORING SYSTEMS
    AUTONOMOUS VEHICLES
  • 11.3 CONSUMER ELECTRONICS
    INCREASING ADOPTION OF AUGMENTED REALITY IN CONSUMER ELECTRONICS TO DRIVE MARKET
    SMARTPHONES AND TABLETS
    SMART HOME DEVICES
    AR/VR
  • 11.4 HEALTHCARE
    AI-DRIVEN PATIENT MONITORING AND OUTCOME PREDICTION TO ACCELERATE MARKET GROWTH
    MEDICAL IMAGING
    PATIENT MONITORING
    SURGICAL ASSISTANCE
  • 11.5 RETAIL
    INCREASING FOCUS ON LOSS PREVENTION SOLUTIONS TO FUEL MARKET GROWTH
    CUSTOMER EXPERIENCE MANAGEMENT
    INVENTORY MANAGEMENT
  • 11.6 SECURITY AND SURVEILLANCE
    GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
    CRIME DETECTION
    INTRUSION DETECTION
    LICENSE PLATE RECOGNITION
  • 11.7 MANUFACTURING
    INCREASING DEMAND FOR AUTOMATED ASSEMBLY LINE MONITORING SYSTEMS TO STIMULATE DEMAND
    QUALITY INSPECTION
    PREDICTIVE MAINTENANCE
  • 11.8 AGRICULTURE
    GROWING DEMAND FOR AI-DRIVEN CROP MONITORING SOLUTIONS TO FUEL SEGMENT GROWTH
    CROP MONITORING
    LIVESTOCK MANAGEMENT
    PRECISION AGRICULTURE
  • 11.9 TRANSPORTATION & LOGISTICS
    GROWING NEED FOR AUTOMATION IN WAREHOUSING AND DISTRIBUTION HUBS TO BOOST SEGMENTAL GROWTH
    FLEET MANAGEMENT
    DRIVER BEHAVIOR ANALYSIS
    ROUTE OPTIMIZATION
    INVENTORY TRACKING
  • 11.10 OTHER VERTICALS
AI IN COMPUTER VISION MARKET, BY OFFERING
135
  • 12.1 INTRODUCTION
  • 12.2 CAMERAS
    INCREASING INTEGRATION OF AI TECHNOLOGY IN CAMERAS TO DRIVE SEGMENTAL GROWTH
  • 12.3 FRAME GRABBERS
    INCREASING USE OF FRAME GRABBERS FOR REAL-TIME IMAGE PROCESSING TO BOOST DEMAND
  • 12.4 OPTICS
    GROWING IMPORTANCE OF ADVANCED OPTICS IN AUTONOMOUS VEHICLES TO ACCELERATE MARKET GROWTH
  • 12.5 LED LIGHTING
    EXPANDING APPLICATIONS OF LED LIGHTING IN HEALTHCARE AND MANUFACTURING TO FUEL SEGMENTAL GROWTH
  • 12.6 PROCESSORS
    CPU
    - Rising integration of CPUs in edge AI devices to drive market
    GPU
    - Rapid image processing feature to support market growth
    ASIC
    - Growing role of ASICs in optimizing AI inference and training to stimulate market growth
    FPGA
    - Surging adoption of FPGAs in edge computing to address latency-related challenges to fuel market growth
  • 12.7 AI VISION SOFTWARE
    INCREASING INVESTMENTS IN AI VISION STARTUPS TO DRIVE MARKET
  • 12.8 AI PLATFORMS
    RISING ADOPTION OF REAL-TIME DATA PROCESSING TECHNOLOGIES TO DRIVE SEGMENTAL GROWTH
AI IN COMPUTER VISION MARKET, BY REGION
144
  • 13.1 INTRODUCTION
  • 13.2 NORTH AMERICA
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    - Increasing government-led investments and rising AI startups to drive market
    CANADA
    - Strategic government investments in AI infrastructure to fuel market growth
    MEXICO
    - Rising funding for AI infrastructure development to boost demand
  • 13.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    UK
    - Strong government support in AI sector to accelerate market growth
    GERMANY
    - Rising number of AI startups to contribute to market growth
    FRANCE
    - Government investment in AI champions to fuel market growth
    ITALY
    - Innovative investments and collaborations between companies to drive market
    REST OF EUROPE
  • 13.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    - Government focus on building AI-based ecosystem to fuel market growth
    JAPAN
    - Development of AI infrastructure and collaboration with tech giants to stimulate market growth
    SOUTH KOREA
    - Innovation in AI software and hardware solutions to drive market growth
    INDIA
    - Government-led AI policies and funding programs to support market growth
    REST OF ASIA PACIFIC
  • 13.5 ROW
    MACROECONOMIC OUTLOOK FOR ROW
    MIDDLE EAST
    INCREASING INVESTMENTS IN DATA CENTERS AND AI RESEARCH PROJECTS TO SPIKE DEMAND
    - GCC countries
    - Rest of Middle East & Africa
    AFRICA
    - Africa's launch of continental AI strategy to fuel market growth
    SOUTH AMERICA
    - Growing number of AI-based computer vision startups to foster market growth
COMPETITIVE LANDSCAPE
181
  • 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
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Region footprint
    - Offering footprint
    - Technology footprint
    - Function footprint
    - Application footprint
    - Vertical footprint
  • 14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2023
    - Detailed list of startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 14.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES
    DEALS
COMPANY PROFILES
208
  • 15.1 KEY PLAYERS
    NVIDIA CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICROSOFT CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ALPHABET INC.
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    AMAZON.COM, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    INTEL CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    COGNEX CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    QUALCOMM TECHNOLOGIES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SONY GROUP CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    OMRON CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    KEYENCE CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SICK AG
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TELEDYNE TECHNOLOGIES INCORPORATED
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TEXAS INSTRUMENTS INCORPORATED
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    BASLER AG
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HAILO TECHNOLOGIES LTD
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 15.2 OTHER PLAYERS
    SIGHTHOUND, INC.
    NEURALA, INC.
    DATAGEN TECHNOLOGIES
    GRAPHCORE
    ROBOTIC VISION TECHNOLOGIES INC.
    CUREMETRIX, INC.
    SNORKEL AI, INC.
    AMP
    VISO.AI
    LANDINGAI
APPENDIX
273
  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 RISK ANALYSIS
  • TABLE 2 ROLE OF COMPANIES IN AI IN COMPUTER VISION ECOSYSTEM
  • TABLE 3 AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING, 2024 (USD)
  • TABLE 4 PORTER’S FIVE FORCES ANALYSIS
  • TABLE 5 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • TABLE 6 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 7 IMPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 8 EXPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 9 LIST OF KEY PATENTS, 2020–2024
  • TABLE 10 LIST OF KEY CONFERENCES AND EVENTS, 2024–2025
  • TABLE 11 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 STANDARDS AND REGULATIONS IN NORTH AMERICA
  • TABLE 16 STANDARDS AND REGULATIONS IN EUROPE
  • TABLE 17 STANDARDS AND REGULATIONS IN ASIA PACIFIC
  • TABLE 18 STANDARDS AND REGULATIONS IN ROW
  • TABLE 19 AI IN COMPUTER VISION MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 20 AI IN COMPUTER VISION MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 21 QUALITY ASSURANCE & INSPECTION: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 22 QUALITY ASSURANCE & INSPECTION: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 23 MEASUREMENT: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 24 MEASUREMENT: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 25 IDENTIFICATION: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 26 IDENTIFICATION: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 27 PREDICTIVE MAINTENANCE: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 28 PREDICTIVE MAINTENANCE: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 29 POSITIONING & GUIDANCE: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 30 POSITIONING & GUIDANCE: AI IN COMPUTER VISION MARKET, BY REGION, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 31 AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 32 AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 33 TRAINING: AI IN COMPUTER VISION MARKET, BY REGION,2021–2024 (USD MILLION)
  • TABLE 34 TRAINING: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 35 NORTH AMERICA: AI IN COMPUTER VISION MARKET FOR TRAINING, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 36 NORTH AMERICA: AI IN COMPUTER VISION MARKET FOR TRAINING, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 37 EUROPE: AI IN COMPUTER VISION MARKET FOR TRAINING, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 38 EUROPE: AI IN COMPUTER VISION MARKET FOR TRAINING, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 39 ASIA PACIFIC: AI IN COMPUTER VISION MARKET FOR TRAINING, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 40 ASIA PACIFIC: AI IN COMPUTER VISION MARKET FOR TRAINING, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 41 ROW: AI IN COMPUTER VISION MARKET FOR TRAINING, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 42 ROW: AI IN COMPUTER VISION MARKET FOR TRAINING, BY REGION,2025–2030 (USD MILLION)
  • TABLE 43 INFERENCE: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 44 INFERENCE: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 45 NORTH AMERICA: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 46 NORTH AMERICA: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 47 EUROPE: AI IN COMPUTER VISION MARKET FOR INFERENCE BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 48 EUROPE: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 49 ASIA PACIFIC: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 50 ASIA PACIFIC: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 51 ROW: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 52 ROW: AI IN COMPUTER VISION MARKET FOR INFERENCE, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 53 AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
  • TABLE 54 AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 55 MACHINE LEARNING: AI IN COMPUTER VISION MARKET, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 56 MACHINE LEARNING: AI IN COMPUTER VISION MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 57 MACHINE LEARNING: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 58 MACHINE LEARNING: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 59 DEEP LEARNING: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 60 DEEP LEARNING: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 61 CONVOLUTIONAL NEURAL NETWORKS: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 62 CONVOLUTIONAL NEURAL NETWORKS: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 63 GENERATIVE AI: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 64 GENERATIVE AI: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 65 AI IN COMPUTER VISION MARKET, BY VERTICAL, 2021–2024 (USD MILLION)
  • TABLE 66 AI IN COMPUTER VISION MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 67 AI IN COMPUTER VISION MARKET FOR AUTOMOTIVE, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 68 AI IN COMPUTER VISION MARKET, FOR AUTOMOTIVE, BY REGION,2025–2030 (USD MILLION)
  • TABLE 69 CONSUMER ELECTRONICS: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 70 CONSUMER ELECTRONICS: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 71 HEALTHCARE: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 72 HEALTHCARE: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 73 RETAIL: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 74 RETAIL: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 75 SECURITY & SURVEILLANCE: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 76 SECURITY & SURVEILLANCE: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 77 MANUFACTURING: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 78 MANUFACTURING: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 79 AGRICULTURE: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 80 AGRICULTURE: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 81 TRANSPORTATION & LOGISTICS: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 82 TRANSPORTATION & LOGISTICS: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 83 OTHER VERTICALS: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 84 OTHER VERTICALS: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 85 AI IN COMPUTER VISION MARKET, BY OFFERING, 2021–2024 (USD MILLION)
  • TABLE 86 AI IN COMPUTER VISION MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 87 SHIPMENT DATA: AI IN COMPUTER VISION MARKET, BY OFFERING, 2021–2024 (THOUSAND UNITS)
  • TABLE 88 SHIPMENT DATA: AI IN COMPUTER VISION MARKET, BY OFFERING, 2025–2030 (THOUSAND UNITS)
  • TABLE 89 PROCESSORS: AI IN COMPUTER VISION MARKET, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 90 PROCESSORS: AI IN COMPUTER VISION MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 91 AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 92 AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 93 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 94 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 95 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2021–2024 (USD MILLION)
  • TABLE 96 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 97 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
  • TABLE 98 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 99 NORTH AMERICA: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 100 NORTH AMERICA: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 101 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 102 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 103 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 104 NORTH AMERICA: AI IN COMPUTER VISION MARKET, BY APPLICATION,2025–2030 (USD MILLION)
  • TABLE 105 US: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 106 US: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 107 CANADA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 108 CANADA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 109 MEXICO: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 110 MEXICO: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 111 EUROPE: AI IN COMPUTER VISION MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 112 EUROPE: AI IN COMPUTER VISION MARKET, BY COUNTRY,2025–2030 (USD MILLION)
  • TABLE 113 EUROPE: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2021–2024 (USD MILLION)
  • TABLE 114 EUROPE: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 115 EUROPE: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
  • TABLE 116 EUROPE: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 117 EUROPE: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 118 EUROPE: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 119 EUROPE: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 120 EUROPE: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 121 EUROPE: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 122 EUROPE: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 123 UK: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 124 UK: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 125 GERMANY: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 126 GERMANY: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 127 FRANCE: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 128 FRANCE: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 129 ITALY: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 130 ITALY: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 131 REST OF EUROPE: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 132 REST OF EUROPE: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 133 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
  • TABLE 134 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 135 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2021–2024 (USD MILLION)
  • TABLE 136 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 137 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 140 ASIA PACIFIC: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 141 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 142 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 143 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 144 ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 145 CHINA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 146 CHINA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 147 JAPAN: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 148 JAPAN: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 149 SOUTH KOREA: AI IN COMPUTER VISION MARKET, BY FUNCTION,2021–2024 (USD MILLION)
  • TABLE 150 SOUTH KOREA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 151 INDIA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 152 INDIA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 153 REST OF ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 154 REST OF ASIA PACIFIC: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 155 ROW: AI IN COMPUTER VISION MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 156 ROW: AI IN COMPUTER VISION MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 157 ROW: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2021–2024 (USD MILLION)
  • TABLE 158 ROW: AI IN COMPUTER VISION MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 159 ROW: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
  • TABLE 160 ROW: AI IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 161 ROW: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE, 2021–2024 (USD MILLION)
  • TABLE 162 ROW: AI IN COMPUTER VISION MARKET FOR MACHINE LEARNING, BY TYPE,2025–2030 (USD MILLION)
  • TABLE 163 ROW: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 164 ROW: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 165 ROW: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
  • TABLE 166 ROW: AI IN COMPUTER VISION MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
  • TABLE 167 MIDDLE EAST: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 168 MIDDLE EAST: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 169 AFRICA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 170 AFRICA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 171 SOUTH AMERICA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2021–2024 (USD MILLION)
  • TABLE 172 SOUTH AMERICA: AI IN COMPUTER VISION MARKET, BY FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 173 OVERVIEW OF STRATEGIES ADOPTED BY MAJOR COMPANIES, JANUARY 2020–NOVEMBER 2024
  • TABLE 174 AI IN COMPUTER VISION MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 175 AI IN COMPUTER VISION MARKET: REGION FOOTPRINT
  • TABLE 176 AI IN COMPUTER VISION MARKET: OFFERING FOOTPRINT
  • TABLE 177 AI IN COMPUTER VISION MARKET: TECHNOLOGY FOOTPRINT
  • TABLE 178 AI IN COMPUTER VISION MARKET: FUNCTION FOOTPRINT
  • TABLE 179 AI IN COMPUTER VISION MARKET: APPLICATION FOOTPRINT
  • TABLE 180 AI IN COMPUTER VISION MARKET: VERTICAL FOOTPRINT
  • TABLE 181 AI IN COMPUTER VISION MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 182 AI IN COMPUTER VISION MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 183 AI IN COMPUTER VISION MARKET: PRODUCT LAUNCHES, JANUARY 2020–NOVEMBER 2024
  • TABLE 184 AI IN COMPUTER VISION MARKETS MARKET: DEALS, JANUARY 2020–NOVEMBER 2024
  • TABLE 185 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 186 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 187 NVIDIA CORPORATION: PRODUCT LAUNCHES
  • TABLE 188 MICROSOFT CORPORATION: COMPANY OVERVIEW
  • TABLE 189 MICROSOFT CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 190 MICROSOFT CORPORATION: PRODUCT LAUNCHES
  • TABLE 191 MICROSOFT CORPORATION: DEALS
  • TABLE 192 ALPHABET INC.: COMPANY OVERVIEW
  • TABLE 193 ALPHABET INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 194 AMAZON.COM, INC.: COMPANY OVERVIEW
  • TABLE 195 AMAZON.COM, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 196 AMAZON.COM, INC.: PRODUCT LAUNCHES
  • TABLE 197 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 198 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 199 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 200 COGNEX CORPORATION: COMPANY OVERVIEW
  • TABLE 201 COGNEX CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 202 COGNEX CORPORATION: PRODUCT LAUNCHES
  • TABLE 203 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
  • TABLE 204 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 205 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
  • TABLE 206 QUALCOMM TECHNOLOGIES, INC.: DEALS
  • TABLE 207 SONY GROUP CORPORATION: COMPANY OVERVIEW
  • TABLE 208 SONY GROUP CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 209 SONY GROUP CORPORATION: PRODUCT LAUNCHES
  • TABLE 210 OMRON CORPORATION: COMPANY OVERVIEW
  • TABLE 211 OMRON CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 212 OMRON CORPORATION: PRODUCT LAUNCHES
  • TABLE 213 OMRON CORPORATION: DEALS
  • TABLE 214 KEYENCE CORPORATION: COMPANY OVERVIEW
  • TABLE 215 KEYENCE CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 216 KEYENCE CORPORATION: PRODUCT LAUNCHES
  • TABLE 217 SICK AG: COMPANY OVERVIEW
  • TABLE 218 SICK AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 219 SICK AG: PRODUCT LAUNCHES
  • TABLE 220 SICK AG: DEALS
  • TABLE 221 TELEDYNE TECHNOLOGIES INCORPORATED: COMPANY OVERVIEW
  • TABLE 222 TELEDYNE TECHNOLOGIES INCORPORATED: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 223 TELEDYNE TECHNOLOGIES INCORPORATED: PRODUCT LAUNCHES
  • TABLE 224 TELEDYNE TECHNOLOGIES: DEALS
  • TABLE 225 TEXAS INSTRUMENTS INCORPORATED: COMPANY OVERVIEW
  • TABLE 226 TEXAS INSTRUMENTS INCORPORATED: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 227 TEXAS INSTRUMENTS INCORPORATED: PRODUCT LAUNCHES
  • TABLE 228 TEXAS INSTRUMENTS INCORPORATED: DEALS
  • TABLE 229 BASLER AG: COMPANY OVERVIEW
  • TABLE 230 BASLER AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 231 BASLER AG: PRODUCT LAUNCHES
  • TABLE 232 BASLER AG: DEALS
  • TABLE 233 HAILO TECHNOLOGIES LTD: COMPANY OVERVIEW
  • TABLE 234 HAILO TECHNOLOGIES LTD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 235 HAILO TECHNOLOGIES LTD: PRODUCT LAUNCHES
  • TABLE 236 HAILO TECHNOLOGIES LTD: DEALS
  • TABLE 237 SIGHTHOUND, INC.: COMPANY OVERVIEW
  • TABLE 238 NEURALA, INC.: COMPANY OVERVIEW
  • TABLE 239 DATAGEN TECHNOLOGIES: COMPANY OVERVIEW
  • TABLE 240 GRAPHCORE: COMPANY OVERVIEW
  • TABLE 241 ROBOTIC VISION TECHNOLOGIES INC.: COMPANY OVERVIEW
  • TABLE 242 CUREMETRIX, INC.: COMPANY OVERVIEW
  • TABLE 243 SNORKEL AI, INC.: COMPANY OVERVIEW
  • TABLE 244 AMP: COMPANY OVERVIEW
  • TABLE 245 VISO.AI: COMPANY OVERVIEW
  • TABLE 246 LANDINGAI: COMPANY OVERVIEW
LIST OF FIGURES
 
  • FIGURE 1 AI IN COMPUTER VISION MARKET: RESEARCH DESIGN
  • FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE ANALYSIS
  • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 (SUPPLY-SIDE)—IDENTIFICATION OF REVENUE GENERATED BY COMPANIES FROM SALES OF AI IN COMPUTER VISION SOLUTIONS
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 6 MARKET BREAKDOWN AND DATA TRIANGULATION
  • FIGURE 7 MACHINE LEARNING SEGMENT TO LEAD AI IN COMPUTER VISION MARKET FROM 2025 TO 2030
  • FIGURE 8 INFERENCE SEGMENT TO CAPTURE LARGER MARKET IN 2025
  • FIGURE 9 CONSUMER ELECTRONICS SEGMENT TO SECURE LARGEST MARKET SHARE BETWEEN 2025 AND 2030
  • FIGURE 10 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE OF AI IN COMPUTER VISION MARKET IN 2025
  • FIGURE 11 GROWING DEMAND FOR AUTOMATION ACROSS INDUSTRIES TO BOOST AI IN COMPUTER VISION PLATFORM ADOPTION
  • FIGURE 12 US AND CONSUMER ELECTRONICS VERTICAL TO HOLD LARGEST SHARE OF NORTH AMERICAN AI IN COMPUTER VISION MARKET IN 2025
  • FIGURE 13 CONSUMER ELECTRONICS VERTICAL TO ACCOUNT FOR LARGEST SHARE OF AI IN COMPUTER VISION MARKET IN 2025
  • FIGURE 14 CHINA TO BE FASTEST-GROWING MARKET GLOBALLY FROM 2025 TO 2030
  • FIGURE 15 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 16 IMPACT ANALYSIS: DRIVERS
  • FIGURE 17 IMPACT ANALYSIS: RESTRAINTS
  • FIGURE 18 IMPACT ANALYSIS: OPPORTUNITIES
  • FIGURE 19 IMPACT ANALYSIS: CHALLENGES
  • FIGURE 20 VALUE CHAIN ANALYSIS
  • FIGURE 21 AI IN COMPUTER VISION ECOSYSTEM
  • FIGURE 22 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 23 AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING, 2024
  • FIGURE 24 AVERAGE SELLING PRICE TREND OF AI CAMERAS, 2021–2023
  • FIGURE 25 AVERAGE SELLING PRICE TREND OF AI CAMERAS, BY REGION, 2021–2023
  • FIGURE 26 PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 29 INVESTMENT AND FUNDING SCENARIO, 2019–2023
  • FIGURE 30 IMPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS FOR TOP 5 COUNTRIES, 2019–2023
  • FIGURE 31 EXPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS FOR TOP 5 COUNTRIES, 2019–2023
  • FIGURE 32 PATENTS APPLIED AND GRANTED, 2013–2024
  • FIGURE 33 QUALITY ASSURANCE AND INSPECTION TO HOLD LARGEST SHARE OF AI IN COMPUTER VISION MARKET IN 2030
  • FIGURE 34 INFERENCE SEGMENT TO ACCOUNT FOR MAJORITY OF MARKET SHARE IN 2030
  • FIGURE 35 MACHINE LEARNING SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2030
  • FIGURE 36 CONSUMER ELECTRONICS VERTICAL TO HOLD LARGEST SHARE OF AI IN COMPUTER VISION MARKET IN 2030
  • FIGURE 37 AI VISION SOFTWARE SEGMENT TO DOMINATE AI IN COMPUTER VISION MARKET THROUGHOUT FORECAST PERIOD
  • FIGURE 38 ASIA PACIFIC TO DOMINATE AI IN COMPUTER VISION MARKET DURING FORECAST PERIOD
  • FIGURE 39 NORTH AMERICA: AI IN COMPUTER VISION MARKET SNAPSHOT
  • FIGURE 40 EUROPE: AI IN COMPUTER VISION MARKET SNAPSHOT
  • FIGURE 41 ASIA PACIFIC: AI IN COMPUTER VISION MARKET SNAPSHOT
  • FIGURE 42 REVENUE ANALYSIS OF KEY PLAYERS IN AI IN COMPUTER VISION MARKET, 2019–2023
  • FIGURE 43 MARKET SHARE ANALYSIS OF MAJOR PLAYERS, 2023
  • FIGURE 44 COMPANY VALUATION, 2024
  • FIGURE 45 FINANCIAL METRICS (EV/EBITDA), 2024
  • FIGURE 46 BRAND/PRODUCT COMPARISON
  • FIGURE 47 AI IN COMPUTER VISION MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 48 AI IN COMPUTER VISION MARKET: COMPANY FOOTPRINT
  • FIGURE 49 AI IN COMPUTER VISION MARKET: COMPANY EVALUATION MATRIX (SMES/STARTUPS), 2023
  • FIGURE 50 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 51 MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • FIGURE 52 ALPHABET INC.: COMPANY SNAPSHOT
  • FIGURE 53 AMAZON.COM, INC.: COMPANY SNAPSHOT
  • FIGURE 54 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 55 COGNEX CORPORATION: COMPANY SNAPSHOT
  • FIGURE 56 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
  • FIGURE 57 SONY GROUP CORPORATION: COMPANY SNAPSHOT
  • FIGURE 58 OMRON CORPORATION: COMPANY SNAPSHOT
  • FIGURE 59 KEYENCE CORPORATION: COMPANY SNAPSHOT
  • FIGURE 60 SICK AG: COMPANY SNAPSHOT
  • FIGURE 61 TELEDYNE TECHNOLOGIES INCORPORATED: COMPANY SNAPSHOT
  • FIGURE 62 TEXAS INSTRUMENTS INCORPORATED: COMPANY SNAPSHOT
  • FIGURE 63 BASLER AG: COMPANY SNAPSHOT

 

The study used four major activities to estimate the market size of the AI in computer vision. Exhaustive secondary research was conducted to gather information on the market and its peer and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. Finally, market breakdown and data triangulation methods were utilized to estimate the market size for different segments and subsegments.

Secondary Research

The research methodology used to estimate and forecast the size of the AI in computer vision market began with the acquisition of data related to the revenues of key vendors in the market through secondary research. Various secondary sources have been referred to in the secondary research process to identify and collect information for this study. Secondary sources include annual reports, press releases, and investor presentations of companies; white papers, journals, certified publications, and articles by recognized authors; websites; directories; and databases. Secondary research has mainly been used to obtain key information about the value chain of the AI in computer vision market, key players, market classification, and segmentation according to the industry trends to the bottom-most level, geographic markets, and key developments from market and technology-oriented perspectives. Secondary data has been collected and analyzed to determine the overall market size, further validated through primary research. The secondary research referred to for this research study involves the viso.ai, Simplilearn Solutions, National Library of Medicine, Techopedia, and MDPI. Moreover, the study involved extensive secondary sources, directories, and databases, such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource, to identify and collect valuable information for a technical, market-oriented, and commercial study of the AI in computer vision market. Vendor offerings have been taken into consideration to determine market segmentation.

Primary Research

In the primary research, various stakeholders from both the supply and demand sides have been interviewed to obtain the qualitative and quantitative information relevant to this report. Primary sources from the supply side include the key industry participants, subject-matter experts (SMEs), and C-level executives and consultants from various key companies and organizations in the AI in computer vision ecosystem. After the complete market engineering (including calculations for the market statistics, the market breakdown, the market size estimations, the market forecasting, and the data triangulation), extensive primary research has been conducted to verify and validate the critical market numbers obtained. Extensive qualitative and quantitative analyses have been performed during the market engineering process to list key information/insights throughout the report. Extensive primary research has been conducted after understanding the AI in computer vision market scenario through secondary research. Several primary interviews have been conducted with market experts from the demand and supply-side players across key regions: North America, Europe, Asia Pacific, and the Rest of the World (Middle East, Africa, and South America). Various primary sources from the supply and demand sides of the market have been interviewed to obtain qualitative and quantitative information. Following is the breakdown of the primary respondents.

Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations, such as sales, operations, and administration, were covered to provide a holistic viewpoint in our report. After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primaries. This and the in-house subject matter experts’ opinions have led us to the findings described in the remainder of this report.

AI in Computer Vision Market Size, and Share

Note: The three tiers of the companies are defined based on their total revenue in 2023: Tier 1 - revenue greater than or equal to USD 1 billion; Tier 2 - revenue between USD 100 million and USD 1 billion; and Tier 3 revenue less than or equal to USD 100 million. Other designations include sales managers, marketing managers, and product managers.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were utilized to estimate and validate the size of the AI in computer vision market and its submarkets. Secondary research was conducted to identify the key players in the market, and primary and secondary research was used to determine their market share in specific regions. The entire process involved studying top players' annual and financial reports and conducting extensive interviews with industry leaders such as CEOs, VPs, directors, and marketing executives. Secondary sources were used to determine all percentage shares and breakdowns, which were verified through primary sources. All parameters that could impact the markets covered in this research study were accounted for, analyzed in detail, verified through primary research, and consolidated to obtain the final quantitative and qualitative data.

AI in Computer Vision Market : Top-Down and Bottom-Up Approach

AI in Computer Vision Market Top Down and Bottom Up Approach

Data Triangulation

Once the overall size of the AI in computer vision market was determined using the methods described above, it was divided into multiple segments and subsegments. Market engineering was performed for each segment and subsegment using market breakdown and data triangulation methods, as applicable, to obtain accurate statistics. To triangulate the data, various factors and trends from the demand and supply sides were studied. The market was validated using both top-down and bottom-up approaches.

Market Definition

AI in computer vision refers to the application of artificial intelligence technologies to make machines interpret, process, and analyze visual data from the world, such as images or videos. This involves sophisticated techniques such as machine learning and deep learning in tasks such as object detection, facial recognition, image classification, and scene analysis. It is widely used across various ens users, such as automotive, consumer electronics, healthcare, retail, security & surveillance, manufacturing, agriculture, transportation & logistics, and others. By leveraging machine learning and deep learning technology, AI in computer vision systems can adapt and improve over time, providing greater efficiency and precision across these applications.

Key Stakeholders

  • Raw data providers
  • Cloud storage providers
  • AI in computer vision system providers
  • AI in computer vision software providers
  • Data processors providers
  • Professional services/solution providers
  • Research institutions and organizations

Report Objectives

  • To estimate and forecast the size of the AI in computer vision Market, in terms of value, based on offering, technology, function, application, end user, and region
  • To describe use cases of AI in computer vision technology
  • To describe and forecast the market size, in terms of value, for four major regions-North America, Europe, Asia Pacific, and Rest of the World (RoW)
  • To provide detailed information regarding major factors such as drivers, restraints, opportunities, and challenges influencing the market growth
  • To provide a detailed overview of the AI in computer vision value chain
  • To strategically analyze micromarkets regarding individual market trends, growth prospects, and contributions to the total market
  • To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with a detailed competitive landscape for the market leaders
  • To analyze major growth strategies such as product launches/developments and acquisitions adopted by the key market players to enhance their market position
  • To analyze the impact of the macroeconomic factors impacting the AI in computer vision market

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the specific requirements of companies. The following customization options are available for the report:

  • Detailed analysis and profiling of additional market players (up to 5)
  • Additional country-level analysis of the AI in computer vision market

Product Analysis

  • Product matrix, which provides a detailed comparison of the product portfolio of each company in the AI in computer vision market

Previous Versions of this Report

AI In Computer Vision Market by Component (Hardware, Software), Function (Training, Inference), Application (Industrial, Non-industrial), End-use Industry (Automotive, Consumer Electronics) and Region - Global Forecast to 2028

Report Code SE 6211
Published in Feb, 2023, By MarketsandMarkets™

AI in Computer Vision Market With Covid-19 Impact by Component, Machine Learning Models, Function, Application (Industrial, Non-Industrial), End-Use Industry (Security & Surveillance, Consumer Electronics) and Geography - Global Forecast to 2026

Report Code SE 6211
Published in Jun, 2021, By MarketsandMarkets™

AI in Computer Vision Market With Covid-19 Impact by Component, Machine Learning Models, Function, Application (Industrial, Non-Industrial), End-Use Industry (Security & Surveillance, Consumer Electronics) and Geography - Global Forecast to 2026

Report Code SE 6211
Published in Apr, 2018, By MarketsandMarkets™
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Growth opportunities and latent adjacency in AI in Computer Vision Market

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