AI In Computer Vision Market Research Report by Component (Hardware, Software), Vertical (healthcare, security, automotive, agriculture, sports & entertainment, and others), and Region– Global Forecast to 2030

AI In Computer Vision Market Overview:

According to the latest research report, the AI In Computer Vision Market profit is expected to generate USD 168.8 billion by the end of the year 2030, growing at a compound annual growth rate (CAGR) of 34.32% over the forecast period. The advancements in computer vision are helping to propel the development of artificial intelligence in the computer vision industry. The hardware section is expected to grow at the fastest rate, whereas the software sector is expected to exert dominance over the component sector in the near future. In recent years, the hardware industry has seen tremendous growth as a result of increased investment in research and development.

The growing need for computer vision applications including driverless vehicles, robots, and other similar technologies is also helping to propel the market forward. As a consequence, the automotive category is expected to develop at the fastest rate, while athletics and amusement are expected to spur the expansion of AI in the computer vision industry even further. The increased computational capacities of processors are setting the stage for the market for artificial intelligence in computer vision to flourish in the future.

This report contains all the information on the global AI In Computer Vision Market analysis and its strengths. The report also contains the culmination of dynamics, segmentation, key players, regional analysis, and other important factors. 

Covid 19 Analysis: There has been no influence on the expansion of AI in the computer vision industry as a result of the COVID-19 epidemic. With the outbreak of COVID-19 causing the interim shutdown of industrial facilities in the affected regions, the epidemic has created a significant blow to the export-oriented economy in that area. For example, the automotive sector in Germany has been seriously harmed since the majority of the country's vehicle commerce is with China and Italy, respectively. Along with concerns about the flow of goods between countries, the expansion of Germany's industrial sector has been delayed by the closure of production units and a halt in operations in order to prevent the spreading of COVID-19.

Market Dynamic:Drivers: Global manufacturing enterprises expect to enhance automation expenditures post-COVID-19 since it minimizes this need for human interaction in numerous operations. Moreover, industrial participants have understood the need for automated quality management in production operations. As a consequence, AI-based machine vision solutions are widely accepted as part of long-term automated development efforts. Computer vision in robotic production methods helps discover issues quickly, reducing costs and improving reaction times. It also helps identify defective items, decrease returns, and improve customer happiness. Computer vision is also needed in quality assurance since it allows all goods on a manufacturing line to be checked uniformly with almost the same concentration. During the projected period, the increased requirement for inspection and testing, and automation will boost global AI in computer vision market growth.

Opportunities: Emotient, the world's leading expert on automatic vehicle face recognition and assessment, which was recently procured by Apple, was granted an intellectual property right in May for a technique for gathering as well as categorizing quite so many as 100,000 visual photographs each day in order to improve the ability of computer systems to differentiate between the different gestures. As a consequence of the rising need for artificial intelligence for emotion recognition, the combination of artificial intelligence and computer vision is propelling market expansion.

Restraints: AI in computer vision systems is projected to increase rapidly in industries like consumer technology and security & monitoring. Nevertheless, difficulties with cloud data storage such as security breaches, information theft, and data inaccessibility are rising. Therefore, cloud service providers must supply consumers with trustworthy data services. Despite the advantages of cloud computing, consumers are reluctant to save sensitive information such as personal patient records, emails, and documents in cloud datacenters. Clients lose control over the information once it is stored in a cloud data center. CSPs use methods like firewalls and virtualization to secure customer data in the cloud. Nevertheless, due to network weaknesses and the inability to control of cloud apps, hardware, and customer information, these initiatives cannot fully secure data. This may slow the progress of AI in the computer vision market sales.

Challenges: Nevertheless, problems including privacy violations, data breaches, and data storage unreliability are on the rise, and these might slow the development of the industry.

Cumulative Growth Analysis: Additionally, the market is growing due to the increased need for computer vision applications in non-traditional and new applications. Computer vision methods are employed in a range of sectors for inspecting, identifying, measuring, and locating products. Besides these, all AI-enabled vision systems are capable of developing software innovations, including 3D model construction, retailing, diagnostic imaging, character recognition, vehicle security, monitoring, and vehicle tracking, as well as morphing and virtual reality. The development of vision software systems for innovative technology in healthcare, traffic control, surveillance systems, mail and transportation, and document preparation is underway. Older players are expected to gain in the future by building AI-enabled computer vision solutions for specialized applications in-house.

Value Chain Analysis: According to the reports, In terms of function, component, application, end-use, and geography, the worldwide AI in the computer vision market is split into four categories. It is classified into two categories based on the component: hardware and software. A subset of the hardware sector is comprised of three subcategories: CPU, memory, and storage. The processor section is further subdivided into the following sub-segments: CPU, ASIC, GPU, and FGPA. It is divided into two categories: learning and interruption, based on its purpose. It is divided into two categories: industrial and non-industrial, based on the application. The market is segmented according to end-user into the following categories: manufacturing, automotive, transportation & logistics, security & surveillance, consumer electronics, healthcare, agricultural, retail, and others.

AI In Computer Vision Market Segmentation Overview: The market is segmented on the basis of function, component, application, end-use, and geography. The global AI in the computer vision market trend is expected to witness decent growth during the forecast period.

By Application: Based on the application, the market is segmented into industrial and non-industrial.

By End-users: Based on the propulsion types, the market is segmented into manufacturing, automotive, transportation & logistics, security & surveillance, consumer electronics, healthcare, agricultural, retail, and others.

AI In Computer Vision Market Regional Analysis: According to the reports, The market trends for AI in the computer vision industry are examined across four regions: North America, Europe, Asia-Pacific, and LAMEA. North America now dominates the industry as a result of a rise in the usage of artificial intelligence in emotion recognition and the combination of artificial intelligence and computer vision technologies.

Competitive Landscape: Competitors in the AI in computer vision business are concentrating on methods such as market efforts, mergers, and product releases in order to retain their standing inside the AI in the computer vision marketplace.

• Qualcomm Technologies, Inc. (US)


• Google LLC (US)


• Allied Vision Technologies GmbH (Germany)


• Basler AG (Germany)


• NVIDIA Corporation (US)


• Facebook (US)


• Microsoft Corporation (US)


• Intel Corporation (US)


• Apple Inc. (US)


• COGNEX Corporation (US) 

• Market overview


• Covid 19 Analysis


• Market Dynamic


• Drivers


• Opportunities


• Restraints


• Challenges


• Cumulative Growth Analysis


• Value Chain Analysis


• Segmentation Overview


• By Application


• By End-Users


• Regional AnalysisCompetitive landscape

Recent Developments: A new class of NVIDIA-Certified System was announced in April 2021, putting artificial intelligence (AI) within reach of enterprises that operate their programs on industry-standard corporate data center infrastructure. It contains high-volume business servers from leading manufacturers that are capable of running the NVIDIA AI Enterprise software package and are uniquely certified for VMware vSphere 7, the most commonly used compute virtualization technology, as well as other NVIDIA technologies.

AI in Computer Vision Market, By Offering:Hardware:

• Processor


• Memory


• Storage

AI in Computer Vision Market, By Machine Learning Model:

• Convolutional Neural Network


• Recurrent Neural Network

AI in Computer Vision Market, By Function:

• Training


• Inference

AI in Computer Vision Market, By Application:

• Non-industrial


• Industrial

• Automotive


• Consumer Electronics


• Healthcare


• Retail


• Security & Surveillance


• Manufacturing


• Agriculture


• Transportation & Logistics


• Others (Military and Construction)

Geographic Analysis:

• US


• Canada


• Mexico

• UK


• Germany


• France


• Italy


• Spain


• Rest of Europe (RoE)

• China


• Japan


• India


• South Korea


• Rest of APAC (RoAPAC)

• South America


• Middle East & Africa