AI in Computer Vision Market To Garner $207.09 Billion By 2030, Driven by High Demand for Quality Inspection and Automation

AI in computer vision market size was valued at $9.18 billion in 2020, and is projected to reach $207.09 billion by 2030, registering a CAGR of 39.60%. The North America region is expected to be the leading contributor to the global market during the forecast period, followed by Europe and Asia-Pacific.

Download Research Report Sample & TOC @ https://www.alliedmarketresearch.com/request-sample/13478

Computer vision technology is one of the most promising areas of research within artificial intelligence and computer science, and offers tremendous advantages for businesses in the modern era. Computer vision focuses on designing computer systems that possess the ability to capture, understand, and interpret important visual information contained with image and video data. Computer vision systems then translate this data, using contextual knowledge provided by human beings, into insights used to drive decision making.

Automobile manufacturers are increasingly reliant on computer vision and industrial robotics technologies to accomplish several levels of automation throughout the production process. Increasing participation of various automotive and IT giants to develop autonomous cars is driving the growth of the AI in computer vision market for the automotive industry. In the automotive industry, computer vision technology is used for inspection of every single detail during production and detects flaws in every single product produced. Moreover, it also includes confirming the presence or absence of automobile parts and analyzing their proper shapes and sizes. Furthermore, the automotive industry is witnessing a paradigm shift from human-driven or conventional vehicles into AI-powered or self-driving cars.

Inquiry Before Buying @ https://www.alliedmarketresearch.com/purchase-enquiry/13478

The prominent factors that impact the AI in computer vision market growth are rising demand for computer vision systems in automotive applications, increasing demand for emotion AI, and high demand for quality inspection and automation. However, rising safety and security related concern restricts the market growth. On the contrary, government initiative to boost development of AI-related technologies is expected to create lucrative opportunities for the market. Therefore, these factors are expected to definitely affect the global AI in computer vision industry during the forecast period.

The global AI in computer vision market is analyzed across component, function, application, end use, and region.

Based on component, the software segment accounted for around three-fifths of the total market share in 2020, and is expected to rule the roost by 2030. The hardware segment, however, would garner the fastest CAGR of 41.80% throughout the forecast period.

Based on function, the inference segment contributed to 86% of the total market revenue in 2020, and is projected to lead the trail by 2030. The training segment, on the other hand, would exhibit the fastest CAGR of 45.60% during the forecast period.

Request for Customization @ https://www.alliedmarketresearch.com/request-for-customization/13478

Region-wise, the AI in computer vision market trends are analyzed across North America (the U.S., Canada, and Mexico), Europe (the UK, Germany, France, Italy, and the rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and the rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). North America is dominating the market due to an increase in adoption of AI in emotion analysis and integration of artificial intelligence with computer vision. The overall AI in computer vision market analysis is determined to understand the profitable trends to gain a stronger foothold.

The key players profiled in the report include NVIDIA Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), AWS (U.S.), IBM Corporation (U.S.), Facebook (U.S.), Google (U.S.), Qualcomm (U.S.), Xilinx (U.S.), and BASLER AG (Germany). These players have adopted various strategies, such as partnership, agreement, collaboration, and product launch, to expand their foothold in the AI in computer vision industry.

Buy Now with Discount: https://www.alliedmarketresearch.com/checkout-final/13c18d290e4e19a814e301c5228a1d08

Key Findings of The Study
• In 2020, the software segment accounted for the maximum revenue and is projected to grow at a notable CAGR of 40.00% during the forecast period.
• The consumer electronics segment accounted for more than 35% of the global AI in computer vision market share in 2020.
• The agriculture segment witnessed highest growth rate during the forecast period.
• UK was the major shareholder in the Europe AI in computer vision market revenue, accounting for approximately 36% share in 2020.

Contact us:
David Correa
1209 Orange Street,
Corporation Trust Center,
Wilmington, New Castle,
Delaware 19801 USA.
Int'l: +1-503-894-6022
Toll Free: +1-800-792-5285
Fax: +1-800-792-5285
help@alliedmarketresearch.com
Web: www.alliedmarketresearch.com
Follow us on: https://www.linkedin.com/company/allied-market-research

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

This release was published on openPR.