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Exploring the Impressive CAGR of AI in Computer Vision Market: Future Prospects and Opportunities

Oct 16, 2023 2:00 PM ET

Exploring the Impressive CAGR of AI in Computer Vision Market: Future Prospects and Opportunities

Market Analysis

The global AI in computer vision market will touch $268.3648 billion at a 36.0% CAGR by 2032, as per the recent Market Research Future report.


Surge in Cyber Threats to Boost Market Growth

Due to the increase in cyber threats, data centers, government and private offices, and other high-security areas are being protected by AI in computer vision. This is done to protect sensitive and secret data. Thus, this is stimulating market expansion.

Key Players

Eminent market players profiled in the AI in computer vision market report include.

  • Ultraleap
  • Irida Labs S.A.
  • Clarifai, Inc.
  • General Electric
  • Teledyne Technologies Inc
  • Xilinx, Inc.
  • Omron Corporation
  • Nvidia Corporation
  • Qualcomm Technologies Inc.
  • Intel Corporation
  • Google LLC
  • Microsoft Corporation
  • Apple Inc.
  • Meta Platforms Inc.
  • Prisma AI


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Integration of AI in Machine Technology to offer Robust Opportunities

The need for this in computer vision around the globe is anticipated to be strengthened by the rising effect of artificial intelligence in machines. Due to the required controlled conditions, illimitable feature identification technology, and expensive sensor technology, machine vision was extremely confined in its applicability. The dynamics of machine technology are also expected to alter as a result of the incorporation of artificial intelligence (AI), creating a whole new class of applications and enormous market prospects.

Restraints and Challenges

High Cost to act as Market Restraint

The high cost and concerns over security & data privacy may act as market restraints over the forecast period. 

Market Segmentation

The market is bifurcated based on end user, machine learning process, and component. 

Based on component, hardware will lead the market over the forecast period. 

By machine learning process, reinforcement learning will domineer the market over the forecast period. 

By end user, healthcare will spearhead the market over the forecast period. 

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COVID-19 Analysis

The COVID-19 pandemic resulted in manufacturing plant and facility everyday operations becoming saturated. During the epidemic, the application of AI in the manufacturing sector indeed has been in flux. To combat the escalating pandemic crisis and maintain market share, governments throughout the world have been attempting to influence technology breakthroughs in the sector. However, the healthcare industry saw significant growth in the use of AI technology as a result of rising hospitalization rates and patients’ greater reliance on medical facilities throughout the world. The remaining manufacturing industries, however, used AI in their operations throughout the pandemic to a significantly lesser extent.

Regional Analysis

North America to Head AI in Computer Vision Market

With regards to market share, North America has taken the top spot for AI in computer vision. This supremacy is a result of several things. Some of the biggest technological businesses in the world, like Microsoft, Google, and IBM, are based in North America and have been a forerunner of AI research and development. These businesses have made large investments in the computer vision technology, promoting innovation and creating a supportive environment for the development of AI applications. The area benefits from a strong infrastructure, which makes it easier to develop AI systems. This infrastructure includes superior computing capabilities & high-speed internet access. Further boosting the need for AI-powered solutions is the prevalence of computer vision-intensive sectors in North America, including healthcare, automotive, and retail. Additionally, supportive government policies, academic institutions, and a thriving startup environment support North America’s position as a global leader in AI & computer vision technologies.

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