AI In Computer Vision Market Projected to Hit USD 27 Billion at a 45% CAGR by 2027- Report by Market Research Future (MRFR)

Market overview:

The AI In Computer Vision Market was worth USD 7.99 billion in 2021 and is expected to be worth USD 27 billion by 2030 by growing at a 45% CAGR from 2022 to 2027.

AI-enabled computer vision systems are gaining popularity in many new applications, including unmanned aerial vehicles, missile guidance, and autonomous vehicles. AI in computer vision solutions is expected to have significant growth potential in consumer electronics, security, and surveillance areas. Computer vision is widely used in various industries, from energy and utilities to manufacturing and automotive, and the market is expanding. Real-world applications demonstrate the significance of computer vision technology in business, entertainment, transportation, healthcare, and daily life.

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Furthermore, computer vision systems are becoming more popular in non-traditional and developing applications, fueling market growth. Computer vision systems are used in various industries for inspection, identification, measuring, and product location. Apart from these, all AI-enabled vision systems can create new ones, such as 3D model creation, retail, medical imaging, optical character recognition, automotive safety, surveillance, and traffic monitoring, morphing, and augmented reality. Vision systems and software are being developed for new applications such as healthcare, traffic management, security and surveillance, postal and logistics, and document processing. Established players are expected to benefit from developing application-specific AI-enabled computer vision systems in-house in the future.

AI In Computer Vision Market Report Scope:

AI In Computer Vision Market Segmentation:

The global AI In Computer Vision market is segmented into the offering, machine learning model, end user, and applications.

By Offering:

• Software
• Hardware

By Machine Learning Model:

• Unsupervised Learning
• Supervised Learning
• Reinforcement Learning

By Application:

• Industrial
• Non-industrial

By End-use industry

• Consumer Electronics
• Automotive
• Healthcare
• Security & Surveillance
• Retail
• Manufacturing

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Regional Analysis:

The trends in AI in computer vision market are examined by region, including Asia-Pacific (China, Japan, India, South Korea, and the rest of Asia-Pacific), North America (the United States, Canada, and Mexico), Europe (the United Kingdom, Germany, France, Italy, and the rest of Europe) and LAMEA (Latin America, Middle East, and Africa). Because of the increased adoption of AI in emotion analysis and the integration of artificial intelligence with computer vision, North America is dominating the market. The AI in the computer vision market in APAC is expected to grow at the fastest CAGR. Japan, South Korea and Japan are expected to be the largest contributors to the APAC market. Increased manufacturing operations primarily contribute to China’s economic development while rising demand for incorporation.

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Recent developments:

• NVIDIA unveiled the NVIDIA DRIVE Atlan in April 2021, a next-generation AI-enabled processor for autonomous vehicles capable of performing over 1,000 trillion operations per second. The NVIDIA DRIVE Atlan system-on-a-chip combines AI and software with the most recent advances in computing, networking, and security for unprecedented performance and security and is the latest addition to the centralised compute roadmap for autonomous vehicles in NVIDIA.
• In April 2021, NVIDIA will launch a new type of NVIDIA-Certified System, delivering AI to enterprises that run their applications on industry-standard corporate data centre infrastructure. This new class of enterprise servers includes high-volume enterprise servers from leading manufacturers exclusively certified for VMware vSphere 7, the world’s most widely used compute virtualisation technology. They can run the NVIDIA AI Enterprise software suite.

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