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Global Artificial Intelligence in Computer Vision Market by Offering (Hardware, Services, Software), Processes (Inference, Training), End-User Industry, Application, Deployment, Organization Size - Forecast 2024-2030

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  • 185 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 5137186
UP TO OFF until Dec 31st 2024
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The Artificial Intelligence in Computer Vision Market size was estimated at USD 10.21 billion in 2023, USD 12.56 billion in 2024, and is expected to grow at a CAGR of 24.02% to reach USD 46.10 billion by 2030.

The AI in computer vision encompasses developing, integrating, and applying artificial intelligence (AI) algorithms to process, analyze, and interpret images and videos for various end-use industries. This market involves software and hardware components that facilitate AI-driven functionalities such as object recognition, image segmentation, motion detection, and video analytics. The increasing use of object detection in autonomous driving to detect and localize other vehicles, pedestrians, and obstacles on the road is driving the AI in the computer vision market. Furthermore, increasing fraudulent activities in the banking and government sectors is growing the need for AI in computer vision to detect fraud. However, the lack of knowledge, trained professionals, and high costs associated with AI in computer vision limit the adoption. Market players are focusing on training professionals and investing to overcome these issues. Rising government initiatives and the adoption of advanced machine learning and augmented reality are creating lucrative opportunities for market growth.

Regional Insights

In the Americas, computer vision technology is widely adopted across different industries, such as retail, healthcare, and automotive. Major tech companies have invested heavily in research and development to create innovative solutions as computer vision carries out repetitive and monotonous tasks faster, simplifying the work for humans. Canada is emerging as a leading hub for artificial intelligence research, with several universities and research centers focusing on computer vision technology. The Canadian government has also prioritized AI investment by allocating funds for innovation and talent development. In the European Union (EU), multiple countries are contributing to the growth of computer vision applications. Several initiatives were established by the European Commission to foster collaboration among European researchers. EU countries, including France, the United Kingdom, and Germany, have invested significantly in computer vision start-ups. The Middle East region is witnessing rapid adoption of AI technologies driven by the government's efforts. Furthermore, in Africa, there is growing interest in applying computer vision to address pressing social issues such as agriculture optimization and wildlife conservation. Several African-based start-ups are leveraging AI-based image recognition tools for crop disease detection and anti-poaching efforts. In APAC countries, including China and Japan, demand is driven by extensive industrial applications of computer vision technology. Moreover, India is emerging as an AI hub with numerous start-ups focusing on computer vision solutions for various sectors, including agriculture, security, and healthcare and has initiated a National Program on AI to foster innovation.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Computer Vision Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Computer Vision Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Computer Vision Market, highlighting leading vendors and their innovative profiles. These include Adobe Inc., Advanced Micro Devices, Inc., Amazon.com Inc., Apple Inc., Arm Limited, Basler AG, Clarifai, Inc., Cognex Corporation, Dataiku, Fujitsu Limited, General Electric Company, Google LLC by Alphabet Inc., Groq, Inc., Hailo Technologies Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Landing AI, LXT, Meta Platforms, Inc., Microsoft Corporation, NetApp, Inc., Nvidia Corporation, Oracle Corporation, Qualcomm Technologies, Inc., Raydiant, Inc., Samsung Electronics Co. Ltd., TechSee Augmented Vision Ltd., Unity Technologies, Wovenware, Inc., and XenonStack Pvt. Ltd.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Computer Vision Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Offering
    • Hardware
      • Memory
      • Network
      • Processors
        • Application-Specific Integrated Circuit
        • Central Processing Unit
        • Field Programmable Gate Arrays
        • Graphics Processing Unit
        • Vision Processing Unit
    • Services
    • Software
  • Processes
    • Inference
    • Training
  • End-User Industry
    • Agriculture
      • Automated Irrigation System
      • Crop Monitoring
    • Automotive
      • ADAS & Infotainment
      • Autonomous & Semi-Autonomous Vehicles
    • Consumer
      • Cameras
      • Gaming
      • Smart Phones
      • Wearables
    • Healthcare
      • Medical Adherence
      • Radiology
    • Robotics & Machine Vision
      • Positioning & Guidance
      • Quality Assurance & Inspection
    • Security & Surveillance
      • AI-Guided Drone-Based Surveillance
      • Biometrics
      • Image & Video Analytics
    • Sports & Entertainment
      • Ball Tracking & Player Tracking
      • Commercial Insertion
      • Virtual Reality/Augmented Reality
  • Application
    • Industrial
    • Non-industrial
  • Deployment
    • On-Cloud
    • On-Premises
  • Organization Size
    • Large Enterprises
    • Small & Medium Enterprises
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as

  1. What is the market size and forecast of the Artificial Intelligence in Computer Vision Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Computer Vision Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Computer Vision Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Computer Vision Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Computer Vision Market?

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Computer Vision Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing demand for quality inspection and automation to perform manufacturing process
5.1.1.2. Growing demand for novel computer vision technologies in consumer electronics
5.1.1.3. Rising government initiatives to promote AI-related technologies and adoption of AI computer vision system
5.1.2. Restraints
5.1.2.1. High manufacturing and maintenance cost associated with AI in computer vision
5.1.3. Opportunities
5.1.3.1. Emerging applications of AI computer vision in agriculture and logistics sector
5.1.3.2. Rising integration of AI with computer vision in autonomous connected vehicles and robotics
5.1.4. Challenges
5.1.4.1. Issues associated with the functionality of AI computer vision systems
5.2. Market Segmentation Analysis
5.2.1. Offering: Increasing consumers preference for AI-powered computer vision solution
5.2.2. Deployment: Expansion of cloud deployment of AI in computer vision
5.2.3. Application: Increasing use of AI in computer vision for facial detection and object detection for unique identification
5.2.4. End-User Industry: Increasing adoption of AI computer vision in manufacturing and retail businesses to reduce the workload complexity
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Artificial Intelligence in Computer Vision Market, by Offering
6.1. Introduction
6.2. Hardware
6.3.1. Memory
6.3.2. Network
6.3.3. Processors
6.3.4.1. Application-Specific Integrated Circuit
6.3.4.2. Central Processing Unit
6.3.4.3. Field Programmable Gate Arrays
6.3.4.4. Graphics Processing Unit
6.3.4.5. Vision Processing Unit
6.3. Services
6.4. Software
7. Artificial Intelligence in Computer Vision Market, by Processes
7.1. Introduction
7.2. Inference
7.3. Training
8. Artificial Intelligence in Computer Vision Market, by End-User Industry
8.1. Introduction
8.2. Agriculture
8.3.1. Automated Irrigation System
8.3.2. Crop Monitoring
8.3. Automotive
8.4.1. ADAS & Infotainment
8.4.2. Autonomous & Semi-Autonomous Vehicles
8.4. Consumer
8.5.1. Cameras
8.5.2. Gaming
8.5.3. Smart Phones
8.5.4. Wearables
8.5. Healthcare
8.6.1. Medical Adherence
8.6.2. Radiology
8.6. Robotics & Machine Vision
8.7.1. Positioning & Guidance
8.7.2. Quality Assurance & Inspection
8.7. Security & Surveillance
8.8.1. AI-Guided Drone-Based Surveillance
8.8.2. Biometrics
8.8.3. Image & Video Analytics
8.8. Sports & Entertainment
8.9.1. Ball Tracking & Player Tracking
8.9.2. Commercial Insertion
8.9.3. Virtual Reality/Augmented Reality
9. Artificial Intelligence in Computer Vision Market, by Application
9.1. Introduction
9.2. Industrial
9.3. Non-industrial
10. Artificial Intelligence in Computer Vision Market, by Deployment
10.1. Introduction
10.2. On-Cloud
10.3. On-Premises
11. Artificial Intelligence in Computer Vision Market, by Organization Size
11.1. Introduction
11.2. Large Enterprises
11.3. Small & Medium Enterprises
12. Americas Artificial Intelligence in Computer Vision Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States
13. Asia-Pacific Artificial Intelligence in Computer Vision Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam
14. Europe, Middle East & Africa Artificial Intelligence in Computer Vision Market
14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom
15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.2. Market Share Analysis, By Key Player
15.3. Competitive Scenario Analysis, By Key Player
15.3.1. Merger & Acquisition
15.3.1.1. Morse Serves as Counsel to KPM Analytics in Acquisition of AI Developer Smart Vision Works
15.3.1.2. KPM Analytics Acquires Food Focused AI Developer Smart Vision Works
15.3.1.3. Michelin Acquires Computer Vision Start-Up RoadBotics
15.3.2. Agreement, Collaboration, & Partnership
15.3.2.1. Landing AI and Snowflake Partner to Empower AI-Driven Computer Vision on Unstructured Data
15.3.2.2. Pangiam and West Virginia University Research Corporation Partner to Develop Artificial Intelligence and Computer Vision Technology
15.3.2.3. Plainsight and Connection Launch AI Alliance to Bring Computer Vision to Enterprises Across Industries
15.3.3. New Product Launch & Enhancement
15.3.3.1. Landing AI Launches App Space to Enable Rapid Vision System Development
15.3.3.2. Meta Unveils DINOv2, an AI Vision Transfer Model
15.3.3.3. Intel Labs Advances Computer Vision Development with Two New AI Models
15.3.4. Investment & Funding
15.3.4.1. France-based AI-Powered Computer Vision Startup XXII Raises EUR 22 Million
15.3.4.2. Phantom AI Raises USD 36.5 Million in Series C Funding Round
15.3.5. Award, Recognition, & Expansion
15.3.5.1. Deep Learning Robotics Receives Patent for Revolutionary Computer Vision Technology
15.3.5.2. Healthy.io Awarded Three New U.S. Patents for Wound-Image Technology
16. Competitive Portfolio
16.1. Key Company Profiles
16.1.1. Adobe Inc.
16.1.2. Advanced Micro Devices, Inc.
16.1.3. Amazon.com Inc.
16.1.4. Apple Inc.
16.1.5. Arm Limited
16.1.6. Basler AG
16.1.7. Clarifai, Inc.
16.1.8. Cognex Corporation
16.1.9. Dataiku
16.1.10. Fujitsu Limited
16.1.11. General Electric Company
16.1.12. Google LLC by Alphabet Inc.
16.1.13. Groq, Inc.
16.1.14. Hailo Technologies Ltd.
16.1.15. Infosys Limited
16.1.16. Intel Corporation
16.1.17. International Business Machines Corporation
16.1.18. Landing AI
16.1.19. LXT
16.1.20. Meta Platforms, Inc.
16.1.21. Microsoft Corporation
16.1.22. NetApp, Inc.
16.1.23. Nvidia Corporation
16.1.24. Oracle Corporation
16.1.25. Qualcomm Technologies, Inc.
16.1.26. Raydiant, Inc.
16.1.27. Samsung Electronics Co. Ltd.
16.1.28. TechSee Augmented Vision Ltd.
16.1.29. Unity Technologies
16.1.30. Wovenware, Inc.
16.1.31. XenonStack Pvt. Ltd.
16.2. Key Product Portfolio
17. Appendix
17.1. Discussion Guide
17.2. License & Pricing
List of Figures
FIGURE 1. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, 2023 VS 2030
FIGURE 3. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET DYNAMICS
FIGURE 7. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
FIGURE 8. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY PROCESSES, 2023 VS 2030 (%)
FIGURE 10. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY PROCESSES, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2030 (%)
FIGURE 12. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 14. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
FIGURE 16. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
FIGURE 18. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. AMERICAS ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. AMERICAS ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. UNITED STATES ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 22. UNITED STATES ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 25. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 26. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 27. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 28. ARTIFICIAL INTELLIGENCE IN COMPUTER VISION MARKET SHARE, BY KEY PLAYER, 2023

Companies Mentioned

  • Adobe Inc.
  • Advanced Micro Devices, Inc.
  • Amazon.com Inc.
  • Apple Inc.
  • Arm Limited
  • Basler AG
  • Clarifai, Inc.
  • Cognex Corporation
  • Dataiku
  • Fujitsu Limited
  • General Electric Company
  • Google LLC by Alphabet Inc.
  • Groq, Inc.
  • Hailo Technologies Ltd.
  • Infosys Limited
  • Intel Corporation
  • International Business Machines Corporation
  • Landing AI
  • LXT
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • NetApp, Inc.
  • Nvidia Corporation
  • Oracle Corporation
  • Qualcomm Technologies, Inc.
  • Raydiant, Inc.
  • Samsung Electronics Co. Ltd.
  • TechSee Augmented Vision Ltd.
  • Unity Technologies
  • Wovenware, Inc.
  • XenonStack Pvt. Ltd.

Methodology

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