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Computer Vision - Market Share, Industry Trends, Growth Forecasts, and Competitive Analysis, 2026-2031 | Edge AI, ADAS, and Automation Drive 15.77% CAGR to USD 68.38 Billion

globenewswire.com
NVDA NVIDIA's Rubin platform is highlighted for its advanced capabilities in executing vision tasks with high frame rates and low power consumption, indicating strong product innovation and market relevance in edge AI. QCOM Qualcomm's Snapdragon X2 Plus is noted for its powerful neural processing unit enabling efficient facial recognition on mobile devices, suggesting a positive outlook for their mobile AI capabilities. AMD AMD's Ryzen AI 400 Series is recognized for accelerating industrial inspection models, positioning AMD favorably in the industrial automation and AI hardware market. AMBA Ambarella's CV7 chip is highlighted for its high TOPS performance and low power consumption, making it suitable for automotive applications and indicating strong potential in the automotive computer vision sector. TSLA Tesla's Full Self-Driving v13 is mentioned for its use of eight surround-view cameras and a custom inference chip, placing it within the context of automotive ADAS growth but without specific performance or sentiment indicators. INTC Intel is listed as a company profile in the competitive landscape, but the article does not provide specific details or sentiment regarding its current performance or products in the computer vision market. CGNX Cognex is listed as a company profile in the competitive landscape, but the article does not provide specific details or sentiment regarding its current performance or products in the computer vision market. KEY Keyence is listed as a company profile in the competitive landscape, but the article does not provide specific details or sentiment regarding its current performance or products in the computer vision market. SONY Sony sensors are mentioned as being used in BYD's Seal sedan, but the article does not provide specific sentiment or performance details for Sony's computer vision products or market position. GOOG Google LLC is listed as a company profile. While Google is a major player in AI, the article does not provide specific details or sentiment regarding its current performance or products in the computer vision market. ZBRA Zebra Technologies Corp. is listed as a company profile in the competitive landscape, but the article does not provide specific details or sentiment regarding its current performance or products in the computer vision market. AMZN Amazon Web Services Inc. is listed as a company profile. AWS Panorama is mentioned as simplifying deployment, but the article does not provide specific sentiment or performance details for AWS in the computer vision market.

Computer Vision - Market Share, Industry Trends, Growth Forecasts, and Competitive Analysis, 2026-2031 | Edge AI, ADAS, and Automation Drive 15.77% CAGR to USD 68.38 Billion Dublin, Nov. 04, 2026 (GLOBE NEWSWIRE) -- "Computer Vision - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)" has been added to ResearchAndMarkets.com's offering.

Computer Vision Market to Reach USD 68.38 Billion by 2031 as Edge AI and Automotive Demand Accelerate

The global computer vision market size is projected to increase from USD 27.39 billion in 2025 and USD 32.88 billion in 2026 to USD 68.38 billion by 2031. The market is expected to register a CAGR of 15.77% from 2026 to 2031, supported by advances in edge-AI chipsets, rising automotive ADAS camera integration, vision-guided robotics, and stricter quality-control requirements across regulated industries.

Edge-AI Chipsets Improve On-Device Computer Vision

New edge-AI processors are reducing latency and power consumption for on-device vision applications. NVIDIA's Rubin platform combines HBM4 memory with a dedicated vision-processing unit, executing YOLOv8 at 240 frames per second while drawing less than 15 watts. Qualcomm's Snapdragon X2 Plus includes a Hexagon neural-processing unit capable of delivering 75 TOPS, enabling facial recognition on mobile devices while limiting battery consumption.

AMD's Ryzen AI 400 Series accelerates convolutional models used in industrial inspection, helping electronics manufacturers replace fixed programmable-logic-controller vision systems with adaptive classifiers. Ambarella's CV7 delivers 120 TOPS at 5 watts, providing automotive suppliers with ISO 26262-ready computing capacity for cabin cameras. Across these platforms, round-trip latency has declined from approximately 80 milliseconds to less than 10 milliseconds, supporting time-sensitive applications such as robotic grasping and emergency vehicle braking.

Automotive ADAS Camera Integration Drives Market Growth

The expansion of advanced driver-assistance systems is increasing the number of cameras installed per vehicle. Tesla's Full Self-Driving v13 uses eight surround-view cameras and a custom inference chip, while BYD's Seal sedan combines Sony sensors with Horizon Robotics silicon to deliver Level 2+ functionality. Mercedes-Benz has expanded Drive Pilot to California highways using stereo cameras and LiDAR fusion to support Level 3 certification.

Volkswagen's ID.7 uses infrared-based gaze tracking to address Euro NCAP driver-monitoring requirements. Alongside safety mandates in China and Europe, these developments are expected to increase global ADAS camera shipments from 200 million in 2025 to 240 million in 2026. Continued investment in electric-vehicle production and Level 3 autonomy is expected to reinforce automotive demand through 2031.

System Integration Remains a Key Market Restraint

Complex integration requirements continue to affect computer vision adoption. Connecting cameras through GigE Vision, CoaXPress, and Camera Link to programmable-logic controllers often requires middleware that converts proprietary data streams into OPC UA or MQTT. These requirements can consume up to 40% of project budgets and extend commissioning schedules by several months.

Multi-vendor firmware conflicts, recurring recalibration, and annual software-maintenance fees also increase ownership costs. Smaller manufacturers frequently depend on external integrators charging USD 150-300 per hour, making some projects economical only for high-volume production lines. A shortage of skilled computer-vision engineers and the absence of standardized performance benchmarks can further prolong proof-of-concept testing and delay deployment.

Computer Vision Market Segment Insights

Hardware generated 65.21% of market revenue in 2025 as manufacturers invested in high-resolution cameras, specialized processors, optics, and controlled illumination. Hardware demand is expected to remain strong, although software is projected to grow faster as businesses adopt subscription-based platforms with integrated updates and cloud connectivity.

OpenCV 4.9, TensorFlow Lite 2.15, AWS Panorama, and Azure IoT Edge are simplifying deployment and supporting a projected 15.87% CAGR for software through 2031. Quantization and pruning capabilities help reduce device-side computing requirements and shorten time-to-production, increasing demand for turnkey inference platforms.

Manufacturing represented 28.49% of computer vision market revenue in 2025, led by automated inspection across electronics production and food-packaging lines. Life sciences accounted for 12% as pharmaceutical manufacturers upgraded vial inspection systems to meet revised Annex 1 requirements. Defense and security represented 8%, supported by thermal imaging demand.

Automotive is forecast to record the fastest industry growth, with an 18.23% CAGR through 2031. Higher camera counts per vehicle, driver-monitoring mandates, factory retrofits, and autonomous driving programs are expected to direct a growing share of computer vision investment toward the sector.

Regional Computer Vision Market Outlook

North America held 49.01% of global revenue in 2025. Growth was supported by USD 52 billion in CHIPS Act incentives, expanding domestic semiconductor capacity, defense demand for thermal imaging, and collaboration between Canadian AI research centers and automotive suppliers. Regional growth is projected to accelerate to 14.8% during 2026-2031 as regulatory clarity for medical-image AI encourages hospital investment.

Asia-Pacific is forecast to be the fastest-growing region, with a CAGR of 16.39%. China generated 22% of global revenue in 2025, while India's Production-Linked Incentive program is supporting electronics plants that use vision systems for surface-mount inspection. Smart-factory initiatives in Japan, sensor investment in South Korea, and vision-guided mining operations in Australia and New Zealand are also contributing to regional expansion.

Europe accounted for 18% of the market in 2025, supported by Industrie 4.0 investment, automotive camera production, and industrial inspection projects. Additional opportunities are emerging from smart-city camera networks in Saudi Arabia and the UAE, as well as agricultural drone imaging in South America. These investments demonstrate the widening global adoption of computer vision across industrial, automotive, healthcare, security, logistics, and agricultural applications.

Key Topics Covered:

1 INTRODUCTION

1.1 Study Assumptions and Market Definition

1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

4.1 Market Overview

4.2 Market Drivers

4.2.1 Rising Adoption of Vision-Guided Robotics in Manufacturing

4.2.2 Stringent Quality-Control Mandates Across Regulated Industries

4.2.3 Surge in Automotive ADAS Camera Integration

4.2.4 Edge-AI Chipsets Lowering Latency and Power for On-Device Vision

4.2.5 Hyperspectral and Neuromorphic Sensors Opening New Use-Cases

4.2.6 Rapid Proliferation of Smart Cameras in IoT-Enabled Retail

4.3 Market Restraints

4.3.1 Complex System-Integration Requirements

4.3.2 Shortage of Skilled Computer-Vision Engineers

4.3.3 Escalating Data-Labeling Cost Inflation

4.3.4 Export-Control Curbs on Advanced Vision Processors

4.4 Industry Value-Chain Analysis

4.5 Regulatory Landscape

4.6 Technological Outlook

4.7 Porter's Five Forces Analysis

4.7.1 Bargaining Power of Buyers

4.7.2 Bargaining Power of Suppliers

4.7.3 Threat of New Entrants

4.7.4 Threat of Substitutes

4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

5.1 By Components

5.1.1 Hardware

5.1.2 Cameras

5.1.3 Processors (GPUs / ASIC / FPGA)

5.1.4 Optics and Lighting

5.1.5 Software

5.1.6 Traditional Algorithms

5.1.7 Deep-Learning Frameworks

5.1.8 Edge Middleware

5.2 By End-User Industry

5.2.1 Life Sciences

5.2.2 Manufacturing

5.2.3 Electronics Assembly

5.2.4 Food and Beverage

5.2.5 Packaging

5.2.6 Defense and Security

5.2.7 Automotive

5.2.8 Retail and E-Commerce

5.2.9 Logistics and Warehousing

5.2.10 Agriculture and Forestry

5.2.11 Other End-User Industries

5.3 By Application

5.3.1 Inspection and Quality Assurance

5.3.2 Measurement and Metrology

5.3.3 Classification and Sorting

5.3.4 Surveillance and Monitoring

5.3.5 3D Modeling and Reconstruction

5.4 By Deployment

5.4.1 Edge

5.4.2 On-Premise

5.4.3 Cloud

5.5 By Geography

5.5.1 North America

5.5.1.1 United States

5.5.1.2 Canada

5.5.1.3 Mexico

5.5.2 South America

5.5.2.1 Brazil

5.5.2.2 Argentina

5.5.2.3 Rest of South America

5.5.3 Europe

5.5.3.1 Germany

5.5.3.2 United Kingdom

5.5.3.3 France

5.5.3.4 Italy

5.5.3.5 Spain

5.5.3.6 Rest of Europe

5.5.4 Asia-Pacific

5.5.4.1 China

5.5.4.2 India

5.5.4.3 Japan

5.5.4.4 South Korea

5.5.4.5 Australia and New Zealand

5.5.4.6 Rest of Asia-Pacific

5.5.5 Middle East

5.5.5.1 Saudi Arabia

5.5.5.2 United Arab Emirates

5.5.5.3 Turkey

5.5.5.4 Rest of Middle East

5.5.6 Africa

5.5.6.1 South Africa

5.5.6.2 Nigeria

5.5.6.3 Egypt

5.5.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

6.1 Market Concentration

6.2 Strategic Moves

6.3 Market Share Analysis

6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)

6.4.1 Intel Corporation

6.4.2 Cognex Corporation

6.4.3 Keyence Corporation

6.4.4 Qualcomm Inc.

6.4.5 NVIDIA Corporation

6.4.6 Omron Corporation

6.4.7 Basler AG

6.4.8 Teledyne FLIR LLC

6.4.9 Sony Group Corp.

6.4.10 Google LLC

6.4.11 Advanced Micro Devices (AMD)

6.4.12 Adlink Technology Inc.

6.4.13 Hikvision Robotics

6.4.14 Stemmer Imaging AG

6.4.15 Dahua Technology

6.4.16 Zebra Technologies Corp.

6.4.17 Amazon Web Services Inc.

6.4.18 Clarifai Inc.

6.4.19 Allied Vision Technologies GmbH

6.4.20 OpenCV.ai

6.4.21 Matrox Imaging

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

7.1 White-Space and Unmet-Need Assessment

For more information about this report visit https://www.researchandmarkets.com/r/pqswfz

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