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Artificial Intelligence (AI) in Computer Vision Market Size to Reach USD 130.57 Billion in 2030, Rising Demand for Computer Vision Systems in Automotive Applications

Artificial Intelligence (AI) Computer Vision Market Size to Reach USD 130.57 Billion by 2030, Increasing Demand for Computer Vision Systems in Automotive Applications

Artificial Intelligence (AI) in Computer Vision Market Size – USD 15.87 Billion by 2021, Market Growth – at a CAGR of 26.3%, Market Trends – High demand for AI in computer vision market

The increasing demand for quality inspection and automation and government initiatives for the advancement of AI-related technologies are driving AI to grow revenue in the computer vision market.

The global Artificial Intelligence (AI)-sized computer vision market is expected to reach USD 130.57 Billion by 2030 and register a revenue CAGR of 26.3% during the forecast period, according to the latest report by Reports and Data. The increasing demand for computer vision systems in automotive applications and increasing demand for emotional AI are the key factors driving the growth of AI revenue in the computer vision market.

AI is the ability of a computer or a computer-enabled robotic system to manage data, produce output, and provide problem-solving results similar to human thought processes. Computer vision is a branch of computer science that aims to mimic the complexity of the human vision system, allowing computers to recognize and process objects in images and video in the same way. way people do. The main driving force behind the improvement of computer vision is the large amount of data that is generated in daily life and computer vision helps to process it more efficiently and quickly. The accuracy of object vision has improved, as new hardware and algorithms in computer vision, have been introduced.

Emotion AI, also known as affective computing or artificial emotional intelligence, is a subset of AI (broad term for machines that mimic the way humans think) that measures understanding, imitating, and responding to human emotions. . . It is often used in mobile applications, such as Snapchat and Instagram filters for fun and entertainment, fueling the growth of Emotion AI, which is also used for face recognition on high-level security devices.

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Companies profiled in the global market report include NVIDIA Corporation, Intel Corporation, Microsoft., IBM, Qualcomm Technologies, Inc., Amazon Web Service, Inc., Advanced Micro Device, Inc. Google, AlphaTechsys, and Hailo.

Some Key Points From The Report

  • In April 2021, NVIDIA created a new type of NVIDIA-Certified System that delivers AI to businesses running their applications on industry-standard corporate data center infrastructure. This new category includes high-volume enterprise servers from leading manufacturers that are certified for VMware vSphere 7, the most widely used computer virtualization technology in the world and run on the NVIDIA AI Enterprise software suite.
  • The software segment accounts for the largest share of revenue in 2021 due to technological advances and due to low cost and strong network infrastructure in developed countries, the software system registers more need. Manufacturing companies around the world plan to shift to AI for reducing costs and eliminating the need for human intervention in various processes, driving revenue growth in part.
  • The managed learning component accounts for the largest revenue share in 2021. Supervised learning models can be a valuable solution for eliminating manual job classification and creating future jobs. prediction based on marked data. As a result, the need for supervised learning is growing daily.
  • The non-Industrial segment accounts for the largest share of revenue in 2021. Advanced technologies are used to make daily life more comfortable and AI in computer vision plays an important role in achieving this. Some applications of non-industrial computer vision AI are driverless cars, autonomous field equipment, drone applications, intelligent traffic systems, and guided operations, among others. pa. The demand for such applications is rapidly increasing to increase revenue in this segment.
  • The automotive segment accounts for the largest share of revenue in 2021. During car production, computer vision is used to analyze every detail. It detects defects in each product and rejects those defects. This helps to ensure that each product has the highest quality and helps to reduce the overall cost of the industry, driving revenue growth in this segment.
  • The North American market accounts for the largest share of revenue in 2021 due to the implementation of advanced technologies in the manufacturing and automotive industries. Increasing the use of IoT-powered devices and increasing demand for connected devices and wireless connectivity and government initiatives to encourage the adoption of the computing vision are driving the growth of the North American market.

For the purpose of this report, Reports and Data segmented the AI ​​into the computer vision market based on component, machine learning model, application, end-use, and region:

Component Outlook (Revenue, USD Billion; 2019–2030)

Looking at the Machine Learning Model (Revenue, USD Billion; 2019–2030)

  • Supervised Learning
  • Unattended Learning
  • Strengthening Learning

Outlook (Revenue, USD Billion; 2019–2030)

  • Not industrial
  • Industrial

End Use Outlook (Revenue, USD Billion; 2019–2030)

  • Automotive
  • Consumer Electronics
  • selling
  • Security and Surveillance
  • Manufacturing

Regional Outlook (Revenue, USD Billion; 2019–2030)

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Key Advantages of Artificial Intelligence (AI) in Computer Vision Report:

  • Identify and analyze market size and competition
  • Qualitative and quantitative analysis of market data
  • Data validated by industry experts after extensive primary and secondary research
  • Numerous regional analysis of Artificial Intelligence (AI) in the Computer Vision industry
  • Profiling key players with their overall business idea, business strategies, deals and partnerships, and product portfolio
  • SWOT and Porter’s Five Forces Analysis for an in-depth understanding of the competition landscape
  • Feasibility analysis and investment analysis to make strategic investment decisions
  • Analyze opportunities, drivers, constraints, challenges, risks, and limitations

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