AI in Computer Vision Market Trends, Analysis & Forecast, 2032
Global AI in Computer Vision Market will register significant growth from 2023 to 2032. The advancements in artificial intelligence and deep learning algorithms have significantly improved the accuracy and performance of computer vision systems. For instance, the development of deep learning architectures, such as transformer architecture, is very effective for natural language processing tasks, and it is being increasingly adopted for computer vision tasks as well.
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The increasing adoption of automation and
robotics in manufacturing, healthcare, and automotive industries is driving the
demand for AI-powered computer vision for tasks like quality control, object
detection, and medical imaging. The growing popularity of smart devices,
autonomous vehicles, and facial recognition technology further contributes to
market expansion. Additionally, the availability of large datasets and the
development of cloud-based AI solutions have democratized access to computer
vision capabilities, enabling businesses of all sizes to integrate AI into
their products and services.
The overall AI in Computer Vision Market is
classified based on component, application, end-use, and region.
Based on the component, the software segment
will contribute significantly to the market from 2023-2032. As computer vision
technology advances, the need for sophisticated and efficient algorithms,
machine learning models, and image processing software is increasing. Software
components play a crucial role in enabling computer vision systems to recognize
and interpret visual information accurately. Moreover, the availability of
open-source and cloud-based AI software solutions has made it more accessible
for businesses to integrate AI into their computer vision applications, further
driving the demand for software components in the market.
Regarding application, the AI in computer
vision industry from the positioning and guidance segment will depict a high
growth rate over 2023-2032. Computer vision technology with AI-driven
positioning and guidance capabilities is becoming crucial in autonomous
vehicles, drones, and robotics industries. It enables precise navigation,
object tracking, and spatial awareness, leading to safer and more efficient
operations. Moreover, the demand for augmented reality (AR) and virtual reality
(VR) experiences in sectors like gaming, retail, and education are also driving
the need for AI-powered computer vision for accurate spatial mapping and
real-time interaction.
With respect to end-use, the government
segment will accumulate a significant share of the AI in computer vision market
revenue by 2032. Governments are recognizing the potential of AI-driven
computer vision technology to enhance public safety, security, and efficiency
in various areas. Applications include surveillance and monitoring systems,
traffic management, and border control. The growing interest in leveraging AI
in government operations and services is driving the demand for AI-powered
computer vision solutions in the market.
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Regionally, the
APAC AI in Computer Vision Market will gain traction during the forecast period
as the region continues to witness rapid economic growth, technological
improvements, and a growing interest in adopting AI-powered computer vision
solutions. APAC countries are leveraging computer vision for applications, such
as smart city development, industrial automation, and healthcare diagnostics.
Moreover, the increasing investments in AI research and development, in line
with government initiatives promoting AI adoption, are driving the market
expansion in the Asia Pacific, making it a key growth region for AI in computer
vision.
Partial chapters of report table of contents
(TOC):
Chapter 2 Executive Summary
2.1 AI in
computer vision industry 360° synopsis, 2018-2032
2.2 Business
trends
2.2.1 Total
Addressable Market (TAM), 2023-2032
2.3 Regional
trends
2.4 Component
trends
2.5
Application trends
2.6 End-Use
trends
Chapter 3 AI in Computer Vision Market
Industry Insights
3.1 Impact of
COVID-19
3.2 Russia-
Ukraine war impact
3.3 Industry
ecosystem
3.3.1
Hardware providers
3.3.2
Software providers
3.3.3 Service
providers
3.3.4
Technology providers
3.3.5
End-user
3.3.6 Profit
margin analysis
3.3.7 Vendor
Matrix
3.4
Technology & innovation landscape
3.4.1 Robotic
process automation
3.4.2 AI
optimized hardware
3.4.3 Deep
learning platform
3.5 Patent
analysis
3.6 Key
initiative and news
3.6.1
Partnership/Collaboration
3.6.2
Merger/Acquisition
3.6.3 New
launch
3.6.4
Investment
3.7
Regulatory landscape
3.8 Industry
impact forces
3.8.1 Growth
drivers
3.8.1.1 The
growing penetration of AI in automotive industry
3.8.1.2 The
rapid integration of AI for security & surveillance purpose
3.8.1.3 Rise
in demand for predictive maintenance and quality assurance in manufacturing
industry
3.8.1.4 The
increasing digitalization in retail industry
3.8.1.5 The
growing applications of AI in computer vision
3.8.2
Industry pitfalls & challenges
3.8.2.1 Data
safety and security related issues
3.9 Growth
potential analysis
3.10 Porter's
analysis
3.11 PESTEL
analysis
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