
AI in Computer Vision Market Growth Analysis Report - Market Size, Share, Forecast Trends and Outlook (2025-2034)
Description
The global AI in computer vision market is projected to grow at a CAGR of 41.00% between 2025 and 2034, reaching a value of around USD 387.97 billion by 2034.
AI in Computer Vision Market Growth
The AI in computer vision market comprises of components including hardware and software. The market is propelled by the introduction of specialized hardware components, like GPUs and FPGAs, which are optimized for accelerating AI computations, making them essential for training and deploying deep learning models in computer vision tasks.
China aims to establish a USD 150 billion AI market by 2030, reflecting the government's ambitious goals for the industry's development.
Key Trends and Developments
Advancements in deep learning, integration of AI with edge computing, enhanced safety and security solutions, and growing adoption of AR and VR are the major trends impacting global AI in computer vision market growth.
June, 2024
Aetina addressed the rising demand for edge computer vision by launching the newest model in its MegaEdge PCIe series, integrating image recognition and AI for computing and AI inference requirements.
June, 2024
Amazon is using computer vision and AI to ensure that customers receive products in perfect condition and to enhance sustainability. "Project P.I." scanned millions of products daily for defects in North American fulfilment centres.
April, 2024
Assert AI, a computer vision company offering AI-driven video analytics solutions to various industries, announced it has secured $4 million in its Series A funding round.
April, 2024
Apple acquired Datakalab, a Paris-based startup specialising in AI compression and computer vision technology. The French company described itself as an expert in low-power, runtime-efficient, and on-device deep learning algorithms.
Advancements in Deep Learning
Deep learning methods like CNNs, RNNs, and GANs are improving computer vision systems, allowing them to attain greater precision in tasks like image recognition and semantic segmentation.
Integration of AI with Edge Computing
Deploying AI algorithms on edge devices like cameras and drones reduces latency, enabling real-time decision-making and improving efficiency across manufacturing, healthcare, retail, and automotive industries.
Enhanced Safety and Security Solutions
AI-driven computer vision enhances safety and security by detecting anomalies, identifying threats, and issuing real-time alerts in smart cities, transportation hubs, and commercial facilities.
Growing Adoption of AR and VR
AI combined with AR and VR creates immersive experiences in gaming, entertainment, retail, and training. AI-driven computer vision improves realism by enabling virtual objects to interact with reality.
AI in Computer Vision Market Trends
The automotive industry's increased adoption of AI in computer vision for advanced driver-assistance systems (ADAS) and autonomous vehicles is driving the demand for this technology. The proliferation of Internet of Things (IoT) devices and connected cameras is generating vast amounts of visual data. AI-powered computer vision solutions can analyse and extract valuable insights from this data, driving demand for AI in computer vision technologies.
Further, AI-driven computer vision in healthcare transforms medical imaging, aiding diagnostics, and personalized treatment. It assists in detecting abnormalities and early disease diagnosis, spurring AI adoption globally.
AI in Computer Vision Industry Segmentation
“Global AI in Computer Vision Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
Hardware components enhance the AI in computer vision market by enabling computer vision systems to capture and analyze detailed visual information with greater accuracy and precision.
Hardware components like Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Application-Specific Integrated Circuits (ASICs) are optimised for parallel processing, making them ideal for accelerating AI algorithms used in computer vision tasks.
Software frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV, provide developers with tools and resources for building and deploying AI-powered computer vision applications.
Security and Surveillance contribute to the AI in computer vision market growth, as AI-driven computer vision systems offer higher accuracy and efficiency which enables security personnel to respond quickly to security incidents and potential threats.
AI-powered computer vision systems can detect and analyse complex patterns and anomalies in visual data, enabling advanced threat detection in security and surveillance applications.
Robotics and machine vision systems equipped with AI capabilities enable flexible and adaptive manufacturing processes. AI-driven computer vision algorithms can adapt to changes in production environments, detect variations in product designs, and adjust manufacturing parameters accordingly.
AI in Computer Vision Market Analysis by Region
The United States, renowned for its technological advancements, sees substantial investments in artificial intelligence and deep learning, driving the growth of AI in computer vision technology across North America. Additionally, China is poised to become a prominent AI leader by transitioning from a manufacturing hub to a technology-driven nation, bolstering market expansion.
Further, according to ITA, the UK AI market was valued at over USD 21 billion in 2023 and is projected to surpass USD 1 trillion by 2035, making it the third largest globally, following the U.S. and China.
According to Artificial Intelligence Sector Study 2023, the annual revenues generated by AI companies in the UK amounted to an estimated Euro 10,646 million.
Leading Manufacturers in the AI in Computer Vision Market
The companies offer various products including RF components, system processors, AI accelerators, wired and wireless networking, and others.
Intel
Founded in 1968 and is headquartered in Santa Clara, California. The company offers various products including processors, AI accelerators, Network to Edge, software, select systems and devices, and others.
Qualcomm Incorporated
Established in 1985 and is headquartered in San Diego, CA. The company offers various types of products including system processors, RF components, audio components, wired and wireless networking, and others.
Apple Inc.
Founded in 1976 and is headquartered in Cupertino, California. The company offers various products including Mac, iPad, iPhone, AirPod, TV & Home, AirTag, accessories, and others.
Microsoft Corporation
Established in 1975 and is headquartered in Redmond, Washington. The company offers various products including PCs and devices, entertainment including Xbox games, PC games, and other products.
Other global AI in computer vision market key players are Xilinx, Inc., and NVIDIA, among others.
AI in Computer Vision Market Report Snapshots
AI in Computer Vision Manufacturers
AI in Computer Vision Market Growth
The AI in computer vision market comprises of components including hardware and software. The market is propelled by the introduction of specialized hardware components, like GPUs and FPGAs, which are optimized for accelerating AI computations, making them essential for training and deploying deep learning models in computer vision tasks.
China aims to establish a USD 150 billion AI market by 2030, reflecting the government's ambitious goals for the industry's development.
Key Trends and Developments
Advancements in deep learning, integration of AI with edge computing, enhanced safety and security solutions, and growing adoption of AR and VR are the major trends impacting global AI in computer vision market growth.
June, 2024
Aetina addressed the rising demand for edge computer vision by launching the newest model in its MegaEdge PCIe series, integrating image recognition and AI for computing and AI inference requirements.
June, 2024
Amazon is using computer vision and AI to ensure that customers receive products in perfect condition and to enhance sustainability. "Project P.I." scanned millions of products daily for defects in North American fulfilment centres.
April, 2024
Assert AI, a computer vision company offering AI-driven video analytics solutions to various industries, announced it has secured $4 million in its Series A funding round.
April, 2024
Apple acquired Datakalab, a Paris-based startup specialising in AI compression and computer vision technology. The French company described itself as an expert in low-power, runtime-efficient, and on-device deep learning algorithms.
Advancements in Deep Learning
Deep learning methods like CNNs, RNNs, and GANs are improving computer vision systems, allowing them to attain greater precision in tasks like image recognition and semantic segmentation.
Integration of AI with Edge Computing
Deploying AI algorithms on edge devices like cameras and drones reduces latency, enabling real-time decision-making and improving efficiency across manufacturing, healthcare, retail, and automotive industries.
Enhanced Safety and Security Solutions
AI-driven computer vision enhances safety and security by detecting anomalies, identifying threats, and issuing real-time alerts in smart cities, transportation hubs, and commercial facilities.
Growing Adoption of AR and VR
AI combined with AR and VR creates immersive experiences in gaming, entertainment, retail, and training. AI-driven computer vision improves realism by enabling virtual objects to interact with reality.
AI in Computer Vision Market Trends
The automotive industry's increased adoption of AI in computer vision for advanced driver-assistance systems (ADAS) and autonomous vehicles is driving the demand for this technology. The proliferation of Internet of Things (IoT) devices and connected cameras is generating vast amounts of visual data. AI-powered computer vision solutions can analyse and extract valuable insights from this data, driving demand for AI in computer vision technologies.
Further, AI-driven computer vision in healthcare transforms medical imaging, aiding diagnostics, and personalized treatment. It assists in detecting abnormalities and early disease diagnosis, spurring AI adoption globally.
AI in Computer Vision Industry Segmentation
“Global AI in Computer Vision Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
- Hardware
- Software
- Automotive
- Sports and Entertainment
- Robotics and Machine Vision
- Healthcare
- Security and Surveillance
- Agriculture
- Others
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Hardware components enhance the AI in computer vision market by enabling computer vision systems to capture and analyze detailed visual information with greater accuracy and precision.
Hardware components like Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Application-Specific Integrated Circuits (ASICs) are optimised for parallel processing, making them ideal for accelerating AI algorithms used in computer vision tasks.
Software frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV, provide developers with tools and resources for building and deploying AI-powered computer vision applications.
Security and Surveillance contribute to the AI in computer vision market growth, as AI-driven computer vision systems offer higher accuracy and efficiency which enables security personnel to respond quickly to security incidents and potential threats.
AI-powered computer vision systems can detect and analyse complex patterns and anomalies in visual data, enabling advanced threat detection in security and surveillance applications.
Robotics and machine vision systems equipped with AI capabilities enable flexible and adaptive manufacturing processes. AI-driven computer vision algorithms can adapt to changes in production environments, detect variations in product designs, and adjust manufacturing parameters accordingly.
AI in Computer Vision Market Analysis by Region
The United States, renowned for its technological advancements, sees substantial investments in artificial intelligence and deep learning, driving the growth of AI in computer vision technology across North America. Additionally, China is poised to become a prominent AI leader by transitioning from a manufacturing hub to a technology-driven nation, bolstering market expansion.
Further, according to ITA, the UK AI market was valued at over USD 21 billion in 2023 and is projected to surpass USD 1 trillion by 2035, making it the third largest globally, following the U.S. and China.
According to Artificial Intelligence Sector Study 2023, the annual revenues generated by AI companies in the UK amounted to an estimated Euro 10,646 million.
Leading Manufacturers in the AI in Computer Vision Market
The companies offer various products including RF components, system processors, AI accelerators, wired and wireless networking, and others.
Intel
Founded in 1968 and is headquartered in Santa Clara, California. The company offers various products including processors, AI accelerators, Network to Edge, software, select systems and devices, and others.
Qualcomm Incorporated
Established in 1985 and is headquartered in San Diego, CA. The company offers various types of products including system processors, RF components, audio components, wired and wireless networking, and others.
Apple Inc.
Founded in 1976 and is headquartered in Cupertino, California. The company offers various products including Mac, iPad, iPhone, AirPod, TV & Home, AirTag, accessories, and others.
Microsoft Corporation
Established in 1975 and is headquartered in Redmond, Washington. The company offers various products including PCs and devices, entertainment including Xbox games, PC games, and other products.
Other global AI in computer vision market key players are Xilinx, Inc., and NVIDIA, among others.
AI in Computer Vision Market Report Snapshots
AI in Computer Vision Manufacturers
Table of Contents
151 Pages
- 1 Executive Summary
- 1.1 Market Size 2024-2025
- 1.2 Market Growth 2025(F)-2034(F)
- 1.3 Key Demand Drivers
- 1.4 Key Players and Competitive Structure
- 1.5 Industry Best Practices
- 1.6 Recent Trends and Developments
- 1.7 Industry Outlook
- 2 Market Overview and Stakeholder Insights
- 2.1 Market Trends
- 2.2 Key Verticals
- 2.3 Key Regions
- 2.4 Supplier Power
- 2.5 Buyer Power
- 2.6 Key Market Opportunities and Risks
- 2.7 Key Initiatives by Stakeholders
- 3 Economic Summary
- 3.1 GDP Outlook
- 3.2 GDP Per Capita Growth
- 3.3 Inflation Trends
- 3.4 Democracy Index
- 3.5 Gross Public Debt Ratios
- 3.6 Balance of Payment (BoP) Position
- 3.7 Population Outlook
- 3.8 Urbanisation Trends
- 4 Country Risk Profiles
- 4.1 Country Risk
- 4.2 Business Climate
- 5 Global AI in Computer Vision Market Analysis
- 5.1 Key Industry Highlights
- 5.2 Global AI in Computer Vision Historical Market (2018-2024)
- 5.3 Global AI in Computer Vision Market Forecast (2025-2034)
- 5.4 Global AI in Computer Vision Market by Component
- 5.4.1 Hardware
- 5.4.1.1 Historical Trend (2018-2024)
- 5.4.1.2 Forecast Trend (2025-2034)
- 5.4.2 Software
- 5.4.2.1 Historical Trend (2018-2024)
- 5.4.2.2 Forecast Trend (2025-2034)
- 5.5 Global AI in Computer Vision Market by End User
- 5.5.1 Automotive
- 5.5.1.1 Historical Trend (2018-2024)
- 5.5.1.2 Forecast Trend (2025-2034)
- 5.5.2 Sports and Entertainment
- 5.5.2.1 Historical Trend (2018-2024)
- 5.5.2.2 Forecast Trend (2025-2034)
- 5.5.3 Robotics and Machine Vision
- 5.5.3.1 Historical Trend (2018-2024)
- 5.5.3.2 Forecast Trend (2025-2034)
- 5.5.4 Healthcare
- 5.5.4.1 Historical Trend (2018-2024)
- 5.5.4.2 Forecast Trend (2025-2034)
- 5.5.5 Security and Surveillance
- 5.5.5.1 Historical Trend (2018-2024)
- 5.5.5.2 Forecast Trend (2025-2034)
- 5.5.6 Agriculture
- 5.5.6.1 Historical Trend (2018-2024)
- 5.5.6.2 Forecast Trend (2025-2034)
- 5.5.7 Others
- 5.6 Global AI in Computer Vision Market by Region
- 5.6.1 North America
- 5.6.1.1 Historical Trend (2018-2024)
- 5.6.1.2 Forecast Trend (2025-2034)
- 5.6.2 Europe
- 5.6.2.1 Historical Trend (2018-2024)
- 5.6.2.2 Forecast Trend (2025-2034)
- 5.6.3 Asia Pacific
- 5.6.3.1 Historical Trend (2018-2024)
- 5.6.3.2 Forecast Trend (2025-2034)
- 5.6.4 Latin America
- 5.6.4.1 Historical Trend (2018-2024)
- 5.6.4.2 Forecast Trend (2025-2034)
- 5.6.5 Middle East and Africa
- 5.6.5.1 Historical Trend (2018-2024)
- 5.6.5.2 Forecast Trend (2025-2034)
- 6 North America AI in Computer Vision Market Analysis
- 6.1 United States of America
- 6.1.1 Historical Trend (2018-2024)
- 6.1.2 Forecast Trend (2025-2034)
- 6.2 Canada
- 6.2.1 Historical Trend (2018-2024)
- 6.2.2 Forecast Trend (2025-2034)
- 7 Europe AI in Computer Vision Market Analysis
- 7.1 United Kingdom
- 7.1.1 Historical Trend (2018-2024)
- 7.1.2 Forecast Trend (2025-2034)
- 7.2 Germany
- 7.2.1 Historical Trend (2018-2024)
- 7.2.2 Forecast Trend (2025-2034)
- 7.3 France
- 7.3.1 Historical Trend (2018-2024)
- 7.3.2 Forecast Trend (2025-2034)
- 7.4 Italy
- 7.4.1 Historical Trend (2018-2024)
- 7.4.2 Forecast Trend (2025-2034)
- 7.5 Others
- 8 Asia Pacific AI in Computer Vision Market Analysis
- 8.1 China
- 8.1.1 Historical Trend (2018-2024)
- 8.1.2 Forecast Trend (2025-2034)
- 8.2 Japan
- 8.2.1 Historical Trend (2018-2024)
- 8.2.2 Forecast Trend (2025-2034)
- 8.3 India
- 8.3.1 Historical Trend (2018-2024)
- 8.3.2 Forecast Trend (2025-2034)
- 8.4 ASEAN
- 8.4.1 Historical Trend (2018-2024)
- 8.4.2 Forecast Trend (2025-2034)
- 8.5 Australia
- 8.5.1 Historical Trend (2018-2024)
- 8.5.2 Forecast Trend (2025-2034)
- 8.6 Others
- 9 Latin America AI in Computer Vision Market Analysis
- 9.1 Brazil
- 9.1.1 Historical Trend (2018-2024)
- 9.1.2 Forecast Trend (2025-2034)
- 9.2 Argentina
- 9.2.1 Historical Trend (2018-2024)
- 9.2.2 Forecast Trend (2025-2034)
- 9.3 Mexico
- 9.3.1 Historical Trend (2018-2024)
- 9.3.2 Forecast Trend (2025-2034)
- 9.4 Others
- 10 Middle East and Africa AI in Computer Vision Market Analysis
- 10.1 Saudi Arabia
- 10.1.1 Historical Trend (2018-2024)
- 10.1.2 Forecast Trend (2025-2034)
- 10.2 United Arab Emirates
- 10.2.1 Historical Trend (2018-2024)
- 10.2.2 Forecast Trend (2025-2034)
- 10.3 Nigeria
- 10.3.1 Historical Trend (2018-2024)
- 10.3.2 Forecast Trend (2025-2034)
- 10.4 South Africa
- 10.4.1 Historical Trend (2018-2024)
- 10.4.2 Forecast Trend (2025-2034)
- 10.5 Others
- 11 Market Dynamics
- 11.1 SWOT Analysis
- 11.1.1 Strengths
- 11.1.2 Weaknesses
- 11.1.3 Opportunities
- 11.1.4 Threats
- 11.2 Porter’s Five Forces Analysis
- 11.2.1 Supplier’s Power
- 11.2.2 Buyer’s Power
- 11.2.3 Threat of New Entrants
- 11.2.4 Degree of Rivalry
- 11.2.5 Threat of Substitutes
- 11.3 Key Indicators for Demand
- 11.4 Key Indicators for Price
- 12 Value Chain Analysis
- 13 Competitive Landscape
- 13.1 Supplier Selection
- 13.2 Key Global Players
- 13.3 Key Regional Players
- 13.4 Key Player Strategies
- 13.5 Company Profiles
- 13.5.1 NVIDIA
- 13.5.1.1 Company Overview
- 13.5.1.2 Product Portfolio
- 13.5.1.3 Demographic Reach and Achievements
- 13.5.1.4 Certifications
- 13.5.2 Intel
- 13.5.2.1 Company Overview
- 13.5.2.2 Product Portfolio
- 13.5.2.3 Demographic Reach and Achievements
- 13.5.2.4 Certifications
- 13.5.3 Qualcomm Incorporated
- 13.5.3.1 Company Overview
- 13.5.3.2 Product Portfolio
- 13.5.3.3 Demographic Reach and Achievements
- 13.5.3.4 Certifications
- 13.5.4 Apple Inc.
- 13.5.4.1 Company Overview
- 13.5.4.2 Product Portfolio
- 13.5.4.3 Demographic Reach and Achievements
- 13.5.4.4 Certifications
- 13.5.5 Microsoft Corporation
- 13.5.5.1 Company Overview
- 13.5.5.2 Product Portfolio
- 13.5.5.3 Demographic Reach and Achievements
- 13.5.5.4 Certifications
- 13.5.6 Xilinx, Inc.
- 13.5.6.1 Company Overview
- 13.5.6.2 Product Portfolio
- 13.5.6.3 Demographic Reach and Achievements
- 13.5.6.4 Certifications
- 13.5.7 Others
Pricing
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