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AI in Computer Vision Market Growth and Restrain Factors Analysis Report

The AI in Computer Vision market is expanding rapidly due to rising demand for automation, improved imaging technologies, and growing investments in AI-driven solutions. These systems enable machines to interpret and act on visual data, supporting applications across manufacturing, healthcare, retail, automotive, and security.
Published 18 November 2025

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the " AI in Computer Vision Market – (By Type of Component (Hardware and Software), by Type of Function (Training, Interference), by Type of Machine Learning Models (Supervised Learning, Unsupervised Learning), by Type of Deployment (Cloud-based and On-premise), by Areas of Application (Facial Recognition, Image Classification, Object Detection, Object Tracking, and Others), by Type of Product (PC-Based Computer Vision System, Smart Camera-Based Computer Vision System), by Type of End Users (Automotive, Consumer Electronics, Healthcare, Manufacturing, Retail, Security and Surveillance, Sports and Entertainment, and Others), by Company Size (Large Enterprises, Small and Medium Enterprises (SMEs)), Trends, Industry Competition Analysis, Revenue and Forecast To 2034."

According to the latest research by InsightAce Analytic, the AI in Computer Vision Market Size is valued at USD 19.0 Bn in 2024 and is predicted to reach USD 172.6 Bn by the year 2034 at a 24.8% CAGR during the forecast period for 2025-2034.

 

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Artificial intelligence (AI) in computer vision empowers devices and systems to derive meaningful insights from digital images, videos, and other sensory inputs, enabling intelligent decision-making and automated responses. Modern computer vision solutions are built on AI and neural network technologies, which allow algorithms to efficiently process and interpret large volumes of annotated and unstructured visual data. Through advanced analytical and learning capabilities, AI-driven computer vision systems can identify intricate patterns, features, and relationships across images, videos, and related datasets.

The integration of AI with high-resolution imaging technologies and Internet of Things (IoT) devices further strengthens real-time analysis and operational efficiency. Rising investments in AI research and development, combined with an increasing focus on data-centric intelligence, continue to drive the growth and adoption of AI-enabled computer vision across various industries.

List of Significant Players in the AI in Computer Vision Market:

·      Alphabet Inc.

·      Advanced Micro Devices, Inc. (commonly known as AMD)

·      Amazon Web Services, Inc.

·      Apple Inc.

·      Baumer Optronic GmbH

·      Basler AG

·      Baidu, Inc.

·      Cognex Corporation

·      CEVA, Inc.

·      Meta Platforms, Inc. (formerly Facebook, Inc.)

·      General Electric Company

·      Honeywell International Inc.

·      Huawei Technologies Co., Ltd.

·      International Business Machines Corporation (commonly known as IBM)

·      Intel Corporation

·      JAI A/S

·      KEYENCE Corporation

·      Matterport, Inc.

·      MediaTek Inc.

·      Microsoft Corporation

·      NI (National Instruments Corporation)

·      NVIDIA Corporation

·      Omron Corporation

·      Qualcomm Incorporated

·      Samsung Electronics Co., Ltd.

·      SenseTime Group Limited

·      Sony Group Corporation

·      Teledyne Technologies Incorporated

·      Texas Instruments Incorporated

·      Tencent Holdings Limited

·      Other Market Players

Market Dynamics:

Drivers-

The rising adoption of AI in computer vision is primarily fueled by the growing demand for automation across multiple industries. Automation involves performing tasks or processes with minimal human intervention through advanced technologies, equipment, or software. AI-enabled computer vision significantly enhances operational efficiency and productivity by enabling machines to interpret and act on visual information, thereby reducing dependence on manual workflows.

 

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Challenges:

A major barrier to the broad implementation of AI-based computer vision solutions is the high cost associated with deployment. These systems require specialized hardware, sophisticated software, and advanced technical expertise, making them capital-intensive investments. As a result, cost remains a key constraint for organizations, particularly small and medium-sized enterprises.

Regional Trends:

The Asia–Pacific region is expected to command a significant share of the AI in computer vision market and is projected to grow at a robust CAGR in the coming years. This growth is driven by rising demand for advanced automation technologies, substantial investments in research and development, and strong government support for digital transformation. Additionally, rapid technological progress in the healthcare sector—where AI-driven diagnostic and treatment solutions are increasingly adopted—is further accelerating market expansion across the region.

 

Recent Developments:

  • In June 2024, NVIDIA Research Demonstrated Progress in Visual Generative AI at CVPR. NVIDIA Research will present over 50 papers, including AI software with potential applications in creative sectors, autonomous vehicle development, healthcare, and robotics.

 

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Segmentation of AI in Computer Vision Market-

By Component-         

·      Hardware

·      Software

By Function-

·      Training

·      Interference

By Machine Learning Models-       

·      Supervised Learning

·      Unsupervised Learning

By Deployment-       

·      Cloud-Based

·      On-Premises

By Areas of Application-    

·      Facial Recognition

·      Image Classification

·      Object Detection

·      Object Tracking

·      Others

By Product-  

·      PC-Based Computer Vision System

·      Smart Camera-Based Computer Vision System

By End Users-            

·      Automotive

·      Consumer Electronics

·      Healthcare

·      Manufacturing

·      Retail

·      Security & Surveillance

·      Sports & Entertainment

·      Others

By Company Size-    

·      Large Enterprises

·      Small and Medium Enterprises

By Business Model-

·      B2B

·      B2C

·      B2B2C

By Region-

North America-

·      The US

·      Canada

·      Mexico

Europe-

·      Germany

·      The UK

·      France

·      Italy

·      Spain

·      Rest of Europe

Asia-Pacific-

·      China

·      Japan

·      India

·      South Korea

·      South East Asia

·      Rest of Asia Pacific

Latin America-

·      Brazil

·      Argentina

·      Rest of Latin America

 Middle East & Africa-

·      GCC Countries

·      South Africa

·      Rest of the Middle East and Africa

 

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