U.S. AI in Computer Vision Market - Databook 2025 to 2034

The U.S. AI in computer vision market size accounted for USD 7.33 billion in 2024 and is predicted to touch around USD 95.92 billion by 2034, growing at a CAGR of 29.3% from 2025 to 2034.

Highlights of the U.S. AI in Computer Vision Market

• By component, the software segment held a dominant presence in the market in 2024.
• By component, the hardware segment is expected to grow at the fastest rate in the market during the forecast period of 2025 to 2034.
• By application, the non-industrial segment accounted for a considerable share of the market in 2024.
• By application, the industrial segment is projected to experience the highest growth rate in the market between 2025 and 2034.
• By function, the training segment led the market.
• By function, the interference segment is set to experience the fastest rate of market growth from 2025 to 2034.
• By end-use, the consumer electronics segment registered its dominance over the U.S. AI in computer vision market in 2024.
• By end-use, the automotive segment is anticipated to grow with the highest CAGR in the market during the studied years.

Industry Valuation and Growth Rate Projection

Computer vision is a field of artificial intelligence (AI) that allows computers to derive information from images, videos, and other inputs. By applying machine learning (ML) models to images, computers can classify objects and respond, like unlocking your smartphone when it recognizes your face. The U.S. AI in computer vision market growth is driven by an increase in the edge computing integration, growing need for quality control & automation, and an increase in the amount of visual data. The widespread applications of generative AI and the development of neural networks.

The U.S. AI in computer vision market applications include when a computer is trained, it reduces labor costs, it can repeat the same tasks at a minimal cost, leaving no room for errors, computer vision is more accurate than human vision, and it automates & completes repetitive tasks faster.

What Are the Trends in the U.S. AI in Computer Vision Market?

The market trends in the U.S. AI in computer vision market are guided by rising investment in AI startups and the growth of autonomous vehicles.

• Rising investment in AI startups: The benefits of using AI in startups are transformative and vast. AI allows smarter decision-making, improves efficiency, and fosters strategic growth and innovation. The integration of AI becomes a strategic imperative for growth and sustainability in the modern business landscape. AI has emerged as a transformative force in investment management. Modern investors have access to sophisticated AI-based tools that can analyze a large amount of financial and alternative data, identify patterns, and help make more informed investment decisions.
• Growth of autonomous vehicles: The benefits of autonomous vehicles include more time & comfort, increased mobility, improved supply chain resilience, economic benefits, can assist the driver, accessibility for those who cannot drive, accessibility, transportation transformation, safety, reduction in traffic, parking spaces, lower operating costs, increased productivity, expenses, accessible transportation, fuel efficiency, and more.

What Are the Restraints in the U.S. AI in Computer Vision Market?

The restraints affecting the U.S. AI in computer vision market include integration with legacy systems and data privacy & security concerns.

• Integration with legacy systems: Legacy system disadvantages include security vulnerabilities, compatibility issues with modern technologies, functionality issues hindering issues, and costly maintenance. It may also include a lack of support, time & cost overruns, data quality issues, security vulnerabilities, lack of vendor support, and compatibility issues.
• Data privacy & security concerns: Data privacy protocols involve controlling access to the data. Data security is the process of protecting organizational data throughout its lifecycle and preventing risks like unauthorized access, public exposure, destruction, illicit modification, or theft.

What is the Opportunity in the U.S. AI in Computer Vision Market?

The opportunity in the U.S. AI in computer vision market is linked to edge AI integration.

• Edge AI integration: Edge AI decreases the need for as many cloud resources, which keeps operational expenses down, and doesn’t consume as much bandwidth. Costs can be reduced with less need for human monitoring, as most edge AI systems are largely autonomous. The future of edge AI holds exciting benefits for ecosystem players and end users, like improved user experience, cost-effectiveness across solutions, increased security, and lower latency in processing.

Recent Developments in the U.S. AI in Computer Vision Market

• In March 2025, the launch of Material Handling Equipment (MHE) Vision, an AI-driven MHE camera system designed to revolutionize real-time material handling visibility and warehouse efficiency, was announced by Gather AI.
• In November 2024, AI-based machine vision software was launched by Lithuanian start-up EasyODM. This software, designed for easy integration and use, features dynamic and static inspection, on-premises data processing, and a no-code tool set.