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The global AI in computer vision market is projected to grow at a CAGR of 41.00% between 2026 and 2035, reaching a value of around USD 387.97 Billion by 2035.
Base Year
Historical Period
Forecast Period
Canada is anticipated to create over 35,000 new jobs within five years.
AI global funding reached USD 66.8 billion in 2021, driving growth in the global AI computer vision market.
Japan's AI Strategy 2022 targets global issues via Society 5.0, aiming to tackle local challenges and boost industrial competitiveness.
Compound Annual Growth Rate
41%
2026-2035
*this image is indicative*
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.

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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.
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.
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.
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.
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.
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.

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“Global AI in Computer Vision Market Report and Forecast 2026-2035” offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
Market Breakup by End User
Market Breakup by Region
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.
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.
The companies offer various products including RF components, system processors, AI accelerators, wired and wireless networking, and others.
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.
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.
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.
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.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other global AI in computer vision market key players are Xilinx, Inc., and NVIDIA, among others.
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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The market is projected to grow at a CAGR of 41.00% between 2026 and 2035.
The revenue generated from the AI in the computer vision market is expected to reach USD 387.97 Billion in 2035.
The major drivers of the industry include greater functional value of AI like image segmentation, object identification, pattern detection, and feature matching, among others, in addition to the rising implementation across industries.
Combating cyber threats with more technologically advanced security and convenience of comprehending pool of data is boosting the market.
The market is broken down into North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.
The market is categorised according to the component, which includes hardware and software.
Based on the end use, the market is divided into automotive, sports and entertainment, robotics and machine vision, healthcare, security and surveillance, agriculture, and others.
The market key players are Intel, Qualcomm Incorporated, Apple Inc., Microsoft Corporation, Xilinx, Inc., and NVIDIA among others.
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Component |
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| Breakup by End User |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
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