Artificial Intelligence (AI) in Computer Vision Market Size to Reach USD 130.57 Billion in 2030 | Industry Trends, Share, Growth & Forecast Analysis by 2030

June 29 03:00 2022
Artificial Intelligence (AI) in Computer Vision Market Size to Reach USD 130.57 Billion in 2030 | Industry Trends, Share, Growth & Forecast Analysis by 2030
Artificial Intelligence (AI) in Computer Vision Market

Rising demand for computer vision systems in automotive applications and increased demand for emotion AI are driving AI in computer vision market revenue growth

Market Size – USD 15.87 Billion in 2021, Market Growth – at a CAGR of 26.3%, Market Trends – Advancements in technology

The global Artificial Intelligence (AI) in computer vision market size is expected to reach USD 130.57 Billion in 2030 and register a revenue CAGR of 26.3% over the forecast period, according to the latest report by Reports and Data. High demand for quality inspection and automation and government initiatives for development of AI-related technologies are driving AI in computer vision market revenue growth.

Demand for computer vision is growing in various industries including energy and utilities, manufacturing, and automotive. Real-world applications demonstrate importance of computer vision technology in business, entertainment, transportation, healthcare, and everyday life. Surge in number of visual data from smartphones, security systems, traffic cameras, and other visually instrumented devices is a major factor driving AI in computer vision market growth.

Manufacturing companies all over the world are planning to increase their automation investments post-COVID-19 period, because it reduces need for human intervention in various processes. Furthermore, as industry players have realized importance of automated quality assurance in manufacturing processes, its demand has increased. As a result, AI-based computer vision solutions are now widely accepted as an important part of long-term automation development processes.

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. 

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Some Key Highlights From the Report

  • In June 2021, Google Cloud launched Visual Inspection AI, a new tool to help manufacturers identify defects in products before they’re shipped. Poor production quality control often leads to significant operational and financial costs. Google Cloud Visual Inspection AI solution automates visual inspection tasks using a set of AI and computer vision technologies that enable manufacturers to transform quality control processes by automatically detecting product defects.
  • The hardware segment revenue is expected to register a steady growth rate during the forecast period. Availability of updated hardware platforms that enable easy component interconnection and sophisticated features, such as quick processing, multi-megapixel resolution, and fully digital data handling, is driving demand for hardware systems. Installation of vision systems has been made easier due to availability of advanced hardware components, which come in a variety of networking architectures to suit a wide range of applications, driving revenue growth of this segment.
  • The unsupervised segment revenue is expected to register a steady growth rate during the forecast. Unsupervised learning, also known as unsupervised machine learning, analyses and clusters unlabeled datasets using machine learning algorithms. Without need for human intervention, these algorithms uncover hidden patterns or data groupings. Unsupervised machine learning models are powerful tools when used in large amounts of data for better efficiency.
  • The industrial segment revenue is expected to register a steady growth rate during the forecast period. Many businesses adopt computer vision to keep a track of their machines and assembly lines accurately. Industrial AI in computer vision is used to reduce worker risk by precisely identifying cracks, corrosion, leaks, and other anomalies in machines, boosting growth of this segment.
  • The consumer electronics revenue is expected to register a steady growth rate during the forecast period. Technology has progressed to the point where mass usage of computer vision has become viable. Smartphones and mobiles are some of the most commonly used consumer electronics in day-to-day life. Mobile apps have become powerful and complex enough to facilitate computer vision applications in ways that are already affecting human lives. Real-time reaction and learning have provided a means for a variety of new user experiences, both for fun and practicality, which is boosting growth of this segment.
  • The Asia Pacific market is expected to register a steady revenue growth rate during the forecast period due to presence of major players, such as OMRON Corporation and Sony Semiconductor Solutions Corporation in the region, which are expected to boost market growth.

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


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

  • Hardware
  • Software


Machine Learning Model
Outlook (Revenue, USD Billion; 2019–2030)

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning


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

  • Non-industrial
  • Industrial


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

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


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

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa


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

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

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