AI Vision Market Size, Share & Growth Analysis 2030

Report Code SE 9174
Published in Oct, 2024, By MarketsandMarkets™
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AI Vision Market by Vision Software (API, SDK), Vision Platform, Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, Heatmap Analysis, Machine Learning, Deep Learning, CNN, Generative AI – Global Forecast to 2029

Updated on : Oct 22, 2024

AI Vision Market Size, Share & Growth

The global AI vision market size is expected to reach USD 43.02 billion in 2029 from USD 14.85 billion in 2024, growing at a CAGR of 23.7% during the forecast period from 2024 to 2029.

The AI vision is one of the popular trends as all the industries and companies are in need of automation as well as intelligent decision-making. Both speed and real-time information of operations provide drive towards business attraction to adopt more advanced imaging and analysis technologies. The various operations of companies and related cost management, through AI vision solution been made easier to execute. These include high growth technology since it enables the development of more complex and effective trading systems leading to accelerated rates of market growth. Factors such as increased demand for quality, safety, and reliability, as well as monitoring and preventive maintenance of equipment and processes, especially in industrial settings, are also fueling the market’s growth. The continuous capacity of AI vision to deliver change continually to processes and open up more possibilities is still encouraging investment and advancement in this industry.

Attractive Opportunities in the AI Vision Market

ASIA PACIFIC

The growth of the market in Asia Pacific can be attributed to advancements in AI technology, increased adoption across various sectors such as healthcare, manufacturing, and retail in countries like China, South Korea, and Japan.

The growth of the market can be attributed to the strategic initiatives by modernization of manufacturing sector and strong government support and investments.

Presence of established AI vision platform providers in countries like US, known for their technological expertise, contributes to the growth of the market in the North America.

Acquisitions, and developments are expected to offer lucrative growth opportunities for the market players during the next 5 years.

Complexity associated with maintenance and upgrades are some of the challenges in AI vision market.

AI Vision Market Trends & Dynamics

Driver: Growing inclination toward cloud computing

Cloud computing is contributing more and more to the ai vision inspection market growth by providing a scalable and flexible infrastructure for data transferring. Cloud computing has enabled enterprises to easily operate and launch AI vision apps without the use of costly hardware that may result in a slow and costly data analysis process or the development of intricate models. Given that the demand for AI vision is rapidly increasing, this is the crucial reason for which technologies like cloud computing are adopted.

The ample processing power and the storage capacity of cloud platforms are fitted to AI vision applications. For instance, in June 2024, Oracle revealed its plan to invest a total of USD 1 billion in establishing a new data center in Madrid, a third cloud region in Spain, and boosting the AI skillset of the Spanish workforce. It is expected that this growth will grant the market a stronger position. With cloud computing growing more prosperous, it can assist in the building of cost-effective and more efficient infrastructures, providing companies with the means to exploit advanced algorithms & big data management in a hassle-free manner.

Restraint: Ethical concerns and bias in AI algorithms

The AI vision market is currently facing some of its greatest challenges in the form of ethical issues and biases in AI algorithms. If a particular AI system happens to be biased or unfair, such as categorizing them based on gender or race inaccurately, not only are ethical concerns raised, but public confidence also falls.

The issues can't be marginalized easily. Mostly it takes extra costs to make development of non-biased algorithm models, and the process may get longer making the timeline longer.

Companies should act in a more responsible way and demonstrate their ethical behavior through AI. The systems should not be utilized until embedded bias within the systems is no longer there. They should not be utilized unless designed to be fair and unbiased. The market is a sector that is growing. The technological advancements in the AI vision sector will enable all sectors to run smoothly. This is if the players in the market strictly adhere to the design of vision systems that are labeled non-existent of bias and are developed such that they are able to optimize their behavior depending on the setting, such as in factories and hospitals.

 

Opportunity: Growing demand for Optical Character Recognition technology from AI vision system providers

AI vision inspection market is experiencing the advantages of Optical Character Recognition (OCR) to a great extent, which results from the systems that are now able to read and understand both image written texts and documents. As AI vision technology is getting renewed, OCR are also improving their capabilities, like reading and writing, thereby making them more accurate and quicker. Automation of tasks that traditionally require human intervention in sectors such as Banking and financial services is the reason why AI vision systems with OCR technology are in so much demand. For Instance, Google Cloud services have unique OCR software for documents and multimedia. Their Document AI product is designed to excel at document processing. It reduces not only manual intervention but also the abolition of expensive ones. AI vision supplements OCR by the incorporation of text recognition, thus elevating the levels of clarity and precision and handling the most sophisticated layout.

Challenge: Complexities associated with maintenance and upgrades

AI vision software proves to be functionally challenging as it needs continuous updates and maintenance, which can be expensive and challenging for businesses. In fact, they need specialized hardware of cameras and GPUs for themselves. Still, such hardware tends to degrade over time and must be replaced or upgraded regularly to ensure that captured image quality and processing speeds are maintained. Furthermore, introducing new models of AI to old hardware may cause issues with respect to compatibility to make upgrades much more difficult. However, accurate models change with changes in the visual data patterns. This calls for retraining, which requires high-quality labeled data, is expensive to produce, and is time-consuming.

Updates of software in the AI vision system affect the overall setup, necessitating very extensive testing to ensure that the new software works seamlessly with every other piece in the setup. This factors into the complexity of such systems. Cloud-based AI vision solutions tackle these problems by managing updates remotely, eliminating the need for on-site maintenance. Such scalable AI frameworks compatible with multiple upgrades of diverse hardware components may make it easier and even cheaper in terms of making the AI vision systems easier to be kept up-to-date.

 

Global AI Vision Market Ecosystem Analysis

The AI vision market is consolidated, with major companies such as NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), STMicroelectronics (Switzerland), Avnet, Inc. (US), AVEVA Group Limited (UK), and numerous small- and medium-sized enterprises. Almost all players offer various products in the market. These products are used in applications such as Autonomous Vehicles, Augmented Reality Devices, Robotic Vision Systems, 3D Printers, and others.

Top Companies in AI Vision Market
 

Based on mode of operatrion, the cloud based learning segment is expected to grow fastest during the forecast period.

Cloud-based inferencing leverages cloud platforms to efficiently process visual data, leveraging pre-trained models for various applications, including object detection and facial recognition. Organizations can customize these models with labeled datasets and utilize APIs to quickly incorporate data within applications. Companies operating cloud platforms like Google Cloud and Microsoft Azure provide fundamental tools and infrastructure for building AI vision applications, supported with AI and machine learning algorithms for integrated analysis of images and video.

Google Cloud’s Vertex AI Vision, for example, allows the easy development of computer vision applications using a simple drag-and-drop interface for processing real time video and image streaming anywhere in the world. As the demand for scalable, cost-effective, and accessible AI applications increases, the cloud-based inferencing market will grow. However, more than that, it signifies a strong commitment to new forms of accessibility and innovation in AI technologies across several important sectors from manufacturing, healthcare, retail, and autonomous, putting cloud-based learning applications at the forefront in the progression of what is possible and available for intelligent applications.

Based on the offering, the vision platform segment is projected to dominate during the forecast period.

AI vision platforms can be described as comprehensive methods for analyzing and scrutinizing visual data. They do so by identifying pertinent images of the business and spotting anomalies relevant to business operations. A classic example is Chooch’s AI Vision platform, which enables organizations to see and interpret business-critical anomalies immediately. Alternatively, companies like Qualcomm Technologies, Inc. have established vision platforms that are high-performance integrated image sensor processors or the Vision Intelligence 400 Platform, which offers constant comprehensive camera processing capabilities. The function of AI vision platform methods varies based on the industry in which they are utilized. Retail, manufacturing, logistics, and smart factories, to name a few, use some type of AI vision platform methodology in practice.

Consumer electronics and light vehicles being manufactured has created more demand for real-time data analysis and automation from manufacturing firms, primarily in the food and automotive sectors. AI vision platforms allow manufacturers and operators to analyze visual input in real-time and recognize any type of anomaly, such as product defects, equipment failure, or processing deviations.

Based on Region, the Asia Pacific Region Will Grow Fastest During the Forecasted Period.

In the Asia Pacific market, the AI vision sector is rapidly growing due to advancements in technology, the adoption of vision technology in different sectors, and significant governmental sponsorship, where applicable, of AI technologies. In China, rapid development in generative AI and new startup companies have accelerated the growth of the AI vision market. Additionally, Japan is solidifying its position in the AI vision industry through the adaptation of its AI and cloud infrastructure. Moreover, in South Korea, the government is taking the initiative to advance AI vision technology along with other types of AI technology, which will position South Korea to take on a stronger role in the regional growth of the ai vision inspection market.

Emerging economies in the region, e.g., India, Malaysia, Thailand, and Australia, have begun to build AI capabilities through national plans focused on digital transformation. Overall, the regional development in AI has enhanced the growth of AI vision in the Asia Pacific as AI technologies become more developed and commonly adopted. Consequently, businesses across the region are implementing AI vision to improve efficiency, automate processes, and enhance decision-making. Due to the notable growth of the market in the Asia Pacific, AI and vision technologies will play an important part in innovating, growing, and advancing digital transformation across the region.

HIGHEST CAGR MARKET IN 2023
CHINA FASTEST-GROWING MARKET IN THE REGION
AI Vision Market

Recent Developments of AI Vision Market

  • In June 2024, The NVIDIA Corporation company launched the NVIDIA Omniverse Cloud Sensor RTX platform, which generates synthetic data to accelerate AI development for autonomous vehicles, robotics, and smart spaces.
  • In May 2024, Microsoft Corporation released GPT-4 Turbo with Vision, a multimodal model that processes text and image inputs. It enhances various applications by enabling image and video analysis and text generation. This model supports optical character recognition (OCR) and object grounding, helping businesses innovate and streamline operations.
  • In May 2024, Avnet, Inc. launched the QCS6490 Vision-AI Development Kit, which allows engineering teams to quickly prototype multi-camera, high-performance Edge AI-embedded products. The kit leverages the energy-efficient MSC SM2S-QCS6490 SMARC compute module based on the Qualcomm QCS6490 processor.
  • In April 2024, IBM launched the IBM Z IntelliMagic Vision software platform for z/OS, which is performance analysis software for IBM Z systems. It offers flexible data analysis with custom, no-code visualizations, enabling analysts to identify risks and optimize workloads.
  • In April 2024, Cognex Corporation launched the In-Sight L38 3D Vision System that integrates AI with 2D and 3D vision technologies to streamline inspection and measurement processes. It creates 2D images that incorporate 3D data for easier training and more accurate feature detection. AI tools identify variable features, while rule-based algorithms enable precise 3D measurements for consistent inspection results.

Key Market Players

Scope of the AI Vision Inspection Market Report

Report Attribute Details
Estimated Market Size USD 14.85 billion
Projected Market Size USD 43.02 billion
Growth Rate CAGR of 23.7%
Market size available for years 2020–2029
Forecast units Value (USD Million)
Segments Covered By Offering, By Service Type, By Technology, By mode of Operation, By Vertical, and Region
Geographies 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 vision market? What are their significant strategies to strengthen their market presence?
The major companies in the AI vision market are NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), and IBM (US). The major strategies adopted by these players are product launches, developments, and acquisitions.
What is the potential market for the AI vision in terms of the region?
The Asia Pacific region is expected to dominate the AI vision market due to advancements in AI technology, increased adoption across various sectors such as healthcare, manufacturing, and retail in countries like China, South Korea, and Japan.
What are the opportunities for new market entrants?
There are significant opportunities in the AI vision market for start-up companies. These companies provide innovative and diverse product portfolios.
What are the drivers and restraints for the AI vision market?
Factors such as growing inclination toward cloud computing and increasing adoption of edge computing are fueling the growth. Legal and reputational risks, and dependence on high-quality data for accurate results are some of the restraints.
What are the major AI vision applications expected to drive the market's growth in the next five years?
The major applications for the AI vision are Autonomous Vehicles, Augmented Reality Devices, Robotic Vision Systems, and 3D Printers.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
23
RESEARCH METHODOLOGY
27
EXECUTIVE SUMMARY
39
PREMIUM INSIGHTS
43
MARKET OVERVIEW
46
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Growing inclination toward cloud computing
    - Integration of ML and DL technologies into next-generation vision solutions
    - Increasing adoption of edge computing
    - Surging need for real-time analytics across automotive and manufacturing sectors
    RESTRAINTS
    - Legal and reputational risks
    - Dependence on high-quality data for accurate results
    OPPORTUNITIES
    - Rapid innovations in healthcare
    - Growing demand for optical character recognition technology from AI vision system providers
    - Increasing number of smart city projects
    CHALLENGES
    - Complexities associated with system maintenance and upgrades
    - High data storage and management costs
    - Training AI vision models effectively for optimal performance
  • 5.3 VALUE CHAIN ANALYSIS
  • 5.4 ECOSYSTEM ANALYSIS
  • 5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.6 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING
    AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Edge computing
    - Machine learning
    COMPLEMENTARY TECHNOLOGIES
    - Internet of Things (IoT)
    - 5G connectivity
    ADJACENT TECHNOLOGIES
    - Deep learning
    - Augmented natural language processing (NLP)
  • 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
    WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS
    MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION
    BENGALURU AIRPORT EMPLOYED INDUSTRY.AI’S VISION AI PLATFORM AND NVIDIA'S AI TOOLS TO ENSURE REAL-TIME MONITORING AND EFFECTIVE TERMINAL MANAGEMENT
    PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES’ AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY
    MULTINATION PHARMA COMPANY DEPLOYED SOLOMON’S SOLVISION AI TO DETECT DEFECTIVE TABLETS IN REAL TIME
  • 5.11 INVESTMENT AND FUNDING SCENARIO
  • 5.12 TRADE ANALYSIS
    IMPORT DATA (HS CODE 852580)
    EXPORT DATA (HS CODE 852580)
  • 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 FOR AI VISION
83
  • 6.1 INTRODUCTION
  • 6.2 AUTONOMOUS VEHICLES
  • 6.3 AUGMENTED REALITY DEVICES
  • 6.4 ROBOTIC VISION SYSTEMS
  • 6.5 3D PRINTERS
  • 6.6 MEDICAL IMAGING SOLUTIONS
  • 6.7 TRAFFIC MONITORING SYSTEMS
  • 6.8 AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS
  • 6.9 SECURITY AND SURVEILLANCE SYSTEMS
  • 6.10 DIGITAL ASSET MANAGEMENT SOLUTIONS
AI VISION MARKET, BY OFFERING
87
  • 7.1 INTRODUCTION
  • 7.2 VISION PLATFORMS
    PRESSING NEED FOR REAL-TIME DATA ANALYSIS TO DRIVE SEGMENTAL GROWTH
  • 7.3 VISION SOFTWARE
    APPLICATION PROGRAMMING INTERFACES
    - Growing demand for cloud services to accelerate segmental growth
    SOFTWARE DEVELOPMENT KITS
    - Increasing investments in AI and ML technologies to fuel segmental growth
  • 7.4 CUSTOM SOLUTIONS
    ADVANCEMENTS IN EDGE COMPUTING TO SUPPORT MARKET GROWTH
AI VISION MARKET, BY SERVICE TYPE
94
  • 8.1 INTRODUCTION
  • 8.2 BEHAVIORAL ANALYSIS
    GROWING NEED TO MONITOR CROWD BEHAVIOR IN PUBLIC PLACES TO ACCELERATE MARKET GROWTH
    FACIAL RECOGNITION
  • 8.3 OPTICAL CHARACTER RECOGNITION
    INCREASING AUTOMATION IN DATA PROCESSING AND DOCUMENT MANAGEMENT TO BOOST MARKET GROWTH
  • 8.4 SPATIAL ANALYSIS
    MOTION DETECTION
    - Elevating deployment of smart home and home automation devices to boost segmental growth
    INTRUSION DETECTION
    - Increasing cyberattacks and rising security threats to drive market
    MONITORING SURROUNDINGS
    - Increasing smart city projects to foster market growth
  • 8.5 IMAGE RECOGNITION
    GOVERNMENT INVESTMENTS TO MINIMIZE RETAIL CRIMES TO SUPPORT MARKET GROWTH
  • 8.6 HEATMAP ANALYSIS
    INCREASING DEMAND FOR ADVANCED CROWD MANAGEMENT SOLUTIONS TO DRIVE MARKET
    CROWD DENSITY ANALYSIS
AI VISION MARKET, BY TECHNOLOGY
101
  • 9.1 INTRODUCTION
  • 9.2 MACHINE LEARNING
    DEEP LEARNING
    - Government and private sector funding for R&D in AI and DL to foster market growth
    CONVOLUTIONAL NEURAL NETWORKS
    - Increasing use of automation across several industries to boost segmental growth
  • 9.3 GENERATIVE AI
    RISING NEED FOR SOPHISTICATED CONTENT CREATION TO SUPPORT MARKET GROWTH
AI VISION MARKET, BY MODE OF OPERATION
108
  • 10.1 INTRODUCTION
  • 10.2 EDGE INFERENCING
    EASY SETUP AND TRAINING PROCESS TO BOOST ADOPTION
  • 10.3 CLOUD-BASED LEARNING
    RISING DEMAND FOR SCALABLE, EFFICIENT, AND ACCESSIBLE AI SOLUTIONS TO DRIVE MARKET
AI VISION MARKET, BY VERTICAL
117
  • 11.1 INTRODUCTION
  • 11.2 TRANSPORTATION & LOGISTICS
    INVESTMENT IN ADVANCED LOGISTICS HUBS AND WAREHOUSES TO BOOST SEGMENTAL GROWTH
  • 11.3 RETAIL
    GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
  • 11.4 HEALTHCARE
    PRESSING NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND
  • 11.5 MANUFACTURING
    ABILITY OF AI VISION TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND
  • 11.6 AGRICULTURE
    INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH
  • 11.7 OIL & GAS
    RISING FOCUS OF OIL AND GAS COMPANIES ON AUTOMATING COMPLEX PROCESSES TO FUEL MARKET GROWTH
  • 11.8 CONSTRUCTION
    ESCALATING REQUIREMENT TO TRACK PROGRESS AGAINST PROJECT TIMELINES TO CREATE OPPORTUNITIES
  • 11.9 OTHER VERTICALS
AI VISION MARKET, BY REGION
128
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    MACROECONOMIC FACTORS FOR NORTH AMERICA
    US
    - Increasing investments by government and technology giants in cutting-edge technologies to drive market
    CANADA
    - Strategic government investments in AI infrastructure development to fuel market growth
    MEXICO
    - Surging adoption of AI-powered solutions in manufacturing sector to boost market growth
  • 12.3 EUROPE
    MACROECONOMIC FACTORS FOR EUROPE
    GERMANY
    - Increasing number of AI startups to contribute to market growth
    UK
    - Commitment to becoming global leader in artificial intelligence to accelerate market growth
    FRANCE
    - Robust research and strategic investments in establishing AI startups to fuel market growth
    ITALY
    - Significant focus on developing and scaling AI vision technologies to create growth opportunities
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    MACROECONOMIC FACTORS FOR ASIA PACIFIC
    CHINA
    - Ventures between research institutions and entrepreneurs to drive market
    JAPAN
    - Investment in digital skilling programs to accelerate market growth
    SOUTH KOREA
    - Startup Koria policy and government investment in AI development to support market growth
    REST OF ASIA PACIFIC
  • 12.5 ROW
    MACROECONOMIC FACTORS FOR ROW
    MIDDLE EAST
    - Strategic investments in digital transformation and innovation to spike demand
    - GCC countries
    - Rest of Middle East & Africa
    AFRICA
    - International collaborations funding AI projects to boost market growth
    SOUTH AMERICA
    - Increasing public–private sector investments in AI technology to fuel market growth
COMPETITIVE LANDSCAPE
163
  • 13.1 OVERVIEW
  • 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
  • 13.3 REVENUE ANALYSIS, 2019–2023
  • 13.4 MARKET SHARE ANALYSIS, 2023
  • 13.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 13.6 BRAND/PRODUCT COMPARISON
  • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Mode of operation footprint
    - Technology footprint
    - Offering footprint
    - Vertical footprint
    - Region footprint
  • 13.8 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
  • 13.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES/DEVELOPMENTS
    DEALS
COMPANY PROFILES
184
  • 14.1 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
    INTEL 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
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    COGNEX CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    QUALCOMM TECHNOLOGIES, INC.
    - Business overview
    - Products/Solutions/Services offered
    STMICROELECTRONICS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    AVNET, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    AVEVA GROUP LIMITED
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 14.2 OTHER PLAYERS
    SYMPHONYAI
    APERA AI
    CHOOCH
    IRONYUN INC.
    KYUNGWOO SYSTECH, INC.
    LANDINGAI
    ML6
    OPENSISTEMAS
    ROBOVISION BV
    SENSETIME
    SEVENLAB
    SOLOMON TECHNOLOGY CORPORATION
    VISO.AI
    ZEBRA TECHNOLOGIES
APPENDIX
234
  • 15.1 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.2 CUSTOMIZATION OPTIONS
  • 15.3 RELATED REPORTS
  • 15.4 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 REPORT LIMITATIONS AND ASSOCIATED RISKS
  • TABLE 2 ROLE OF COMPANIES IN AI VISION ECOSYSTEM
  • TABLE 3 AVERAGE SELLING PRICE TREND OF VISION PLATFORM OFFERINGS OF KEY PLAYERS, BY FEATURE, 2023
  • TABLE 4 AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS, 2023
  • TABLE 5 AI VISION MARKET: PORTER'S FIVE FORCES ANALYSIS
  • TABLE 6 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • TABLE 7 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
  • TABLE 8 IMPORT SCENARIO FOR HS CODE 852580-COMPLIANT PRODUCTS, BY COUNTRY, 2019–20203 (USD MILLION)
  • TABLE 9 EXPORT SCENARIO FOR HS CODE 852580-COMPLIANT PRODUCTS, BY COUNTRY, 2019–20203 (USD MILLION)
  • TABLE 10 AI VISION MARKET: PATENTS, 2020–2024
  • TABLE 11 AI VISION INSPECTION Market MARKET: MAJOR CONFERENCES AND EVENTS, 2024–2025
  • TABLE 12 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 MAJOR STANDARDS AND REGULATIONS IN NORTH AMERICA
  • TABLE 17 MAJOR STANDARDS AND REGULATIONS IN EUROPE
  • TABLE 18 MAJOR STANDARDS AND REGULATIONS IN ASIA PACIFIC
  • TABLE 19 MAJOR STANDARDS AND REGULATIONS IN ROW
  • TABLE 20 AI VISION MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 21 AI VISION INSPECTION Market, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 22 VISION PLATFORMS: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 23 VISION PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 24 VISION SOFTWARE: MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 25 VISION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 26 VISION SOFTWARE: MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 27 VISION SOFTWARE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 28 CUSTOM SOLUTIONS: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 29 CUSTOM SOLUTIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 30 AI VISION MARKET, BY SERVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 31  AI VISION INSPECTION Market, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 32 SPATIAL ANALYSIS: MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 33 SPATIAL ANALYSIS:MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 34 AI VISION MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 35  AI VISION INSPECTION Market, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 36 MACHINE LEARNING: AI VISION MARKET, BY TECHNOLOGY TYPE, 2020–2023 (USD MILLION)
  • TABLE 37 MACHINE LEARNING: MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 38 MACHINE LEARNING: MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 39 MACHINE LEARNING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 40 DEEP LEARNING: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 41 DEEP LEARNING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 42 CONVOLUTIONAL NEURAL NETWORKS: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 43 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 44 GENERATIVE AI: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 45 GENERATIVE AI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 46 AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 47 MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 48 EDGE INFERENCING: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 49 EDGE INFERENCING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 50 EDGE INFERENCING: MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 51 EDGE INFERENCING: MARKET IN NORTH AMERICA, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 52 EDGE INFERENCING: MARKET IN EUROPE, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 53 EDGE INFERENCING: MARKET IN EUROPE, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 54 EDGE INFERENCING: MARKET IN ASIA PACIFIC, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 55 EDGE INFERENCING: MARKET IN ASIA PACIFIC, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 56 EDGE INFERENCING: MARKET IN ROW, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 57 EDGE INFERENCING: MARKET IN ROW, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 58 CLOUD-BASED LEARNING: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 59 CLOUD-BASED LEARNING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 60 CLOUD-BASED LEARNING: MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 61 CLOUD-BASED LEARNING: MARKET IN NORTH AMERICA, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 62 CLOUD-BASED LEARNING: MARKET IN EUROPE, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 63 CLOUD-BASED LEARNING: MARKET IN EUROPE, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 64 CLOUD-BASED LEARNING: AI VISION MARKET IN ASIA PACIFIC, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 65 CLOUD-BASED LEARNING: MARKET IN ASIA PACIFIC, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 66 CLOUD-BASED LEARNING: MARKET IN ROW, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 67 CLOUD-BASED LEARNING: MARKET IN ROW, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 68 AI VISION MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 69 MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 70 TRANSPORTATION & LOGISTICS: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 71 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 72 RETAIL: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 73 RETAIL: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 74 HEALTHCARE: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 75 HEALTHCARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 76 MANUFACTURING: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 77 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 78 AGRICULTURE: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 79 AGRICULTURE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 80 OIL & GAS: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 81 OIL & GAS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 82 CONSTRUCTION: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 83 CONSTRUCTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 84 OTHER VERTICALS: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 85 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 86 AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 87 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 88 NORTH AMERICA: AI VISION MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 89 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 90 NORTH AMERICA: MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 91 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 92 NORTH AMERICA: MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 93 NORTH AMERICA: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 94 NORTH AMERICA: AI VISION MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 95 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 96 NORTH AMERICA: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2020–2023 (USD MILLION)
  • TABLE 97 NORTH AMERICA: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 98 NORTH AMERICA: MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 99 NORTH AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 100 US: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 101 US: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 102 CANADA: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 103 CANADA: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 104 MEXICO: MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 105 MEXICO: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 106 EUROPE: AI VISION MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 107 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 108 EUROPE: MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 109 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 110 EUROPE: MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 111 EUROPE: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 112 EUROPE: MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 113 EUROPE: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 114 EUROPE: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2020–2023 (USD MILLION)
  • TABLE 115 EUROPE: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 116 EUROPE: MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 117 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 118 GERMANY: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 119 GERMANY: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 120 UK: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 121 UK: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 122 FRANCE: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 123 FRANCE: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 124 ITALY: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 125 ITALY: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 126 REST OF EUROPE: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 127 REST OF EUROPE: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 128 ASIA PACIFIC: AI VISION MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 129 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 130 ASIA PACIFIC: MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 131 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 132 ASIA PACIFIC: MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 133 ASIA PACIFIC: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 134 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 135 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 136 ASIA PACIFIC: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2020–2023 (USD MILLION)
  • TABLE 137 ASIA PACIFIC: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 140 CHINA: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 141 CHINA: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 142 JAPAN: MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 143 JAPAN: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 144 SOUTH KOREA: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 145 SOUTH KOREA: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 146 REST OF ASIA PACIFIC: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 147 REST OF ASIA PACIFIC: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 148 ROW: AI VISION MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 149 ROW: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 150 ROW: MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 151 ROW: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 152 ROW: MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 153 ROW: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 154 ROW: MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 155 ROW: AI VISION MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 156 ROW: MARKET FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2020–2023 (USD MILLION)
  • TABLE 157 ROW: MARKET, FOR MACHINE LEARNING, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 158 ROW: MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 159 ROW: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 160 MIDDLE EAST: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 161 MIDDLE EAST: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 162 AFRICA: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 163 AFRICA: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 164 SOUTH AMERICA: AI VISION MARKET, BY MODE OF OPERATION, 2020–2023 (USD MILLION)
  • TABLE 165 SOUTH AMERICA: MARKET, BY MODE OF OPERATION, 2024–2029 (USD MILLION)
  • TABLE 166 OVERVIEW OF STRATEGIES ADOPTED BY MAJOR COMPANIES, 2021–2024
  • TABLE 167 AI VISION MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 168 MARKET: MODE OF OPERATION FOOTPRINT
  • TABLE 169 MARKET: TECHNOLOGY FOOTPRINT
  • TABLE 170 MARKET: OFFERING FOOTPRINT
  • TABLE 171 MARKET: VERTICAL FOOTPRINT
  • TABLE 172 MARKET: REGION FOOTPRINT
  • TABLE 173 MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 174 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 175 MARKET: PRODUCT LAUNCHES/DEVELOPMENTS, JANUARY 2021–JUNE 2024
  • TABLE 176 MARKETS MARKET: DEALS, JANUARY 2021–JUNE 2024
  • TABLE 177 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 178 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 179 NVIDIA CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 180 MICROSOFT CORPORATION: COMPANY OVERVIEW
  • TABLE 181 MICROSOFT CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 182 MICROSOFT CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 183 MICROSOFT CORPORATION: DEALS
  • TABLE 184 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 185 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 186 INTEL CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 187 ALPHABET INC.: COMPANY OVERVIEW
  • TABLE 188 ALPHABET INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 189 AMAZON.COM, INC.: COMPANY OVERVIEW
  • TABLE 190 AMAZON.COM, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 191 AMAZON.COM, INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 192 IBM: COMPANY OVERVIEW
  • TABLE 193 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 194 IBM: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 195 ORACLE: COMPANY OVERVIEW
  • TABLE 196 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 197 ORACLE: DEALS
  • TABLE 198 COGNEX CORPORATION: COMPANY OVERVIEW
  • TABLE 199 COGNEX CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 200 COGNEX CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 201 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
  • TABLE 202 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 203 STMICROELECTRONICS: COMPANY OVERVIEW
  • TABLE 204 STMICROELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 205 STMICROELECTRONICS: DEALS
  • TABLE 206 AVNET, INC.: COMPANY OVERVIEW
  • TABLE 207 AVNET, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 208 AVNET, INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 209 AVEVA?GROUP LIMITED: COMPANY OVERVIEW
  • TABLE 210 AVEVA?GROUP LIMITED: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 211 AVEVA?GROUP LIMITED: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 212 SYMPHONYAI: COMPANY OVERVIEW
  • TABLE 213 APERA AI: COMPANY OVERVIEW
  • TABLE 214 CHOOCH: COMPANY OVERVIEW
  • TABLE 215 IRONYUN INC.: COMPANY OVERVIEW
  • TABLE 216 KYUNGWOO SYSTECH, INC.: COMPANY OVERVIEW
  • TABLE 217 LANDINGAI: COMPANY OVERVIEW
  • TABLE 218 ML6: COMPANY OVERVIEW
  • TABLE 219 OPENSISTEMAS: COMPANY OVERVIEW
  • TABLE 220 ROBOVISION BV: COMPANY OVERVIEW
  • TABLE 221 SENSETIME: COMPANY OVERVIEW
  • TABLE 222 SEVENLAB: COMPANY OVERVIEW
  • TABLE 223 SOLOMON TECHNOLOGY CORPORATION: COMPANY OVERVIEW
  • TABLE 224 VISO.AI: COMPANY OVERVIEW
  • TABLE 225 ZEBRA TECHNOLOGIES: COMPANY OVERVIEW
LIST OF FIGURES
 
  • FIGURE 1 AI 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 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 VISION PLATFORMS SEGMENT TO LEAD AI VISION MARKET FROM 2024 TO 2029
  • FIGURE 8 IMAGE RECOGNITION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE THROUGHOUT FORECAST PERIOD
  • FIGURE 9 HEALTHCARE SEGMENT TO COMMAND MARKET BETWEEN 2024 AND 2029
  • FIGURE 10 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE OF MARKET IN 2024
  • FIGURE 11 INTEGRATION OF AI WITH CLOUD AND EDGE COMPUTING TECHNOLOGIES ACROSS INDUSTRIES TO BOOST AI VISION PLATFORM ADOPTION
  • FIGURE 12 US AND MANUFACTURING VERTICAL TO HOLD LARGEST SHARE OF NORTH AMERICAN MARKET IN 2024
  • FIGURE 13 HEALTHCARE VERTICAL TO ACCOUNT FOR LARGEST SHARE OF MARKET IN ASIA PACIFIC THROUGHOUT FORECAST PERIOD
  • FIGURE 14 CHINA TO EXHIBIT HIGHEST CAGR IN GLOBAL MARKET FROM 2024 TO 2029
  • FIGURE 15 AI VISION MARKET DYNAMICS: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 16 IMPACT OF DRIVERS ON AI VISION MARKET
  • FIGURE 17 IMPACT OF RESTRAINTS ON MARKET
  • FIGURE 18 IMPACT OF OPPORTUNITIES ON AI VISION MARKET
  • FIGURE 19 IMPACT OF CHALLENGES ON MARKET
  • FIGURE 20 VALUE CHAIN ANALYSIS: MARKET
  • FIGURE 21 AI VISION ECOSYSTEM PARTICIPANTS
  • FIGURE 22 TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS
  • FIGURE 23 AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS
  • FIGURE 24 PORTER'S FIVE FORCES ANALYSIS: AI VISION MARKET
  • FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • FIGURE 26 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
  • FIGURE 27 FUNDS GATHERED BY COMPANIES IN MARKET
  • FIGURE 28 IMPORT DATA FOR HS CODE 852580-COMPLIANT PRODUCTS FOR TOP 5 COUNTRIES, 2019–20203
  • FIGURE 29 EXPORT DATA FOR HS CODE 852580-COMPLIANT PRODUCTS FOR TOP 5 COUNTRIES, 2019–2023
  • FIGURE 30 NUMBER OF PATENTS APPLIED AND GRANTED IN MARKET, 2014–2023
  • FIGURE 31 VISION PLATFORMS SEGMENT TO DOMINATE MARKET THROUGHOUT FORECAST PERIOD
  • FIGURE 32 IMAGE RECOGNITION TO CAPTURE LARGEST MARKET SHARE THROUGHOUT FORECAST PERIOD
  • FIGURE 33 MACHINE LEARNING TO CAPTURE LARGER SHARE OF MARKET DURING FORECAST PERIOD
  • FIGURE 34 CLOUD-BASED LEARNING SEGMENT TO HOLD LARGER SHARE OF MARKET DURING FORECAST PERIOD
  • FIGURE 35 HEALTHCARE TO HOLD LARGEST SHARE OF AI VISION MARKET IN 2029
  • FIGURE 36 ASIA PACIFIC TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 37 NORTH AMERICA: AI VISION MARKET SNAPSHOT
  • FIGURE 38 EUROPE: MARKET SNAPSHOT
  • FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 40 REVENUE ANALYSIS OF KEY PLAYERS IN MARKET, 2019–2023
  • FIGURE 41 MARKET SHARE ANALYSIS OF MAJOR PLAYERS, 2023
  • FIGURE 42 COMPANY VALUATION, JUNE 2024
  • FIGURE 43 FINANCIAL METRICS (EV/EBITDA), 2023
  • FIGURE 44 BRAND/PRODUCT COMPARISON
  • FIGURE 45 AI VISION MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 46 MARKET: COMPANY FOOTPRINT
  • FIGURE 47 MARKET: COMPANY EVALUATION MATRIX (SMES/STARTUPS), 2023
  • FIGURE 48 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 49 MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • FIGURE 50 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 51 ALPHABET INC.: COMPANY SNAPSHOT
  • FIGURE 52 AMAZON.COM, INC.: COMPANY SNAPSHOT
  • FIGURE 53 IBM: COMPANY SNAPSHOT
  • FIGURE 54 ORACLE: COMPANY SNAPSHOT
  • FIGURE 55 COGNEX CORPORATION: COMPANY SNAPSHOT
  • FIGURE 56 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
  • FIGURE 57 STMICROELECTRONICS: COMPANY SNAPSHOT
  • FIGURE 58 AVNET, INC.: COMPANY SNAPSHOT

 

The study used four major activities to estimate the market size of the AI 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 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 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 Institute of Electrical and Electronics Engineers (IEEE), Edge AI and Vision Alliance, International Society of Automation (ISA), Microsoft, General Data Protection Regulation (GDPR), and Partnership on AI. 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 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 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 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 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.

About the assumptions considered for the study, To know 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 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 Vision Market Market : Top-Down and Bottom-Up Approach

ai vision market Top Down and Bottom Up Approach

Data Triangulation

Once the overall size of the AI 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 vision refers to integrating artificial intelligence with computer vision technologies to enable machines to interpret and analyze visual data. It is widely used across various verticals, such as healthcare, manufacturing, transport & logistics, retail, agriculture, oil & gas, construction, and other verticals. AI vision offers several advantages, such as real-time object detection, image recognition, heatmap analysis, optical character recognition, improved accuracy in visual analysis, automation of complex tasks, and enhanced decision-making processes. By leveraging machine learning and deep learning technology, AI 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 vision system providers
  • AI vision software providers
  • Integrators and solution providers
  • Professional services/solution providers
  • Research institutions and organizations

Report Objectives

  • To estimate and forecast the size of the AI Vision Market, in terms of value, based on offering, service type, technology, mode of operation, vertical, and region
  • To describe use cases of AI 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 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 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 vision market

Product Analysis

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

Previous Versions of this Report

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Growth opportunities and latent adjacency in AI Vision Market

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