AI in Computer Vision Market Growing Technology Opportunities and Future Business Trends to 2030

Allied Market Research, titled, "AI in Computer Vision Market by Component, Function, Application, and End Use: Global Opportunity Analysis and Industry Forecast, 2021-2030", the global 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 American 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/A13113

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 in 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. The increasing participation of various automotive and IT giants in developing autonomous cars is driving the growth of the AI in the computer vision market for the automotive industry. In the automotive industry, computer vision technology is used for the 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 to AI-powered or self-driving cars.

𝐆𝐞𝐭 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐞𝐝 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮'𝐫𝐞 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: https://www.alliedmarketresearch.com/request-for-customization/A13113

𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:

The AI in Computer Vision industry's key market players adopt various strategies such as product launch, product development, collaboration, partnership, and agreements to influence the market. It includes details about the key players in the market's strengths, product portfolio, market size and share analysis, operational results, and market positioning.

𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐦𝐚𝐣𝐨𝐫 𝐤𝐞𝐲 𝐩𝐥𝐚𝐲𝐞𝐫𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐠𝐥𝐨𝐛𝐚𝐥 𝐀𝐈 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐌𝐚𝐫𝐤𝐞𝐭 𝐢𝐧𝐜𝐥𝐮𝐝𝐞,

Microsoft Corporation
Intel Corporation
Facebook
NVIDIA Corporation
Qualcomm
BASLER AG
Xilinx
Google
IBM Corporation
AWS

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, a government initiative to boost the development of AI-related technologies is expected to create lucrative opportunities for the market. Therefore, these factors are expected to affect global AI in the computer vision industry during the forecast period.

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 the adoption of AI in emotion analysis and the 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

𝐂𝐎𝐕𝐈𝐃-𝟏𝟗 𝐈𝐦𝐩𝐚𝐜𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

- The COVID-19 pandemic has had a low impact on the growth of the AI in computer vision market. From a regional point of view, the outbreak of COVID-19 has caused a major setback to the export-oriented economies, owing to the temporary shutting down of manufacturing plants. However, consumer products, such as smartphones and smart homes, have become less of a luxury and more of a necessity. This segment comprises wearables, laptops, desktops, and other appliances, which was impacted as production declined due to disruptions in the global supply chain, especially in China.
- The COVID-19 outbreak has positively as well as negatively affected major businesses worldwide by disrupting production cycles and supply chains across industries. However, as vaccines roll out across the globe and the pandemic situation is better controlled, especially in North America and Europe, this is expected to boost the recovery of AI in the computer vision market.

𝐈𝐧𝐪𝐮𝐢𝐫𝐲 𝐛𝐞𝐟𝐨𝐫𝐞 𝐁𝐮𝐲𝐢𝐧𝐠: https://www.alliedmarketresearch.com/purchase-enquiry/A13113

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 the highest growth rate during the forecast period.
- The UK was the major shareholder in the Europe AI in computer vision market revenue, accounting for approximately 36% share in 2020.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬:

Allied Market Research is a top provider of market intelligence that offers reports from leading technology publishers. Our in-depth market assessments in our research reports take into account significant technological advancements in the sector. In addition to other areas of expertise, AMR focuses on the analysis of high-tech systems and advanced production systems. We have a team of experts who compile thorough research reports and actively advise leading businesses to enhance their current procedures. Our experts have a wealth of knowledge on the topics they cover. Also, they use a variety of tools and techniques when gathering and analyzing data, including patented data sources.

𝐂𝐨𝐧𝐭𝐚𝐜𝐭

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