Press release
AI in Computer Vision Market to Grow at a CAGR of 21.48% and will Reach USD 118.56 billion by 2032
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to extract useful information from digital images, videos, and other visual data and take actions or make recommendations based on that information. Computer vision works similarly to human vision, except that humans have a head. Human vision has the advantage of having a lifetime of context to learn to distinguish objects, whether they are moving, and whether there are problems in an image. Computer vision trains machines to perform these tasks.The global AI in computer vision market is expected to grow from USD 16.94 billion in 2024 to USD 118.56 billion by 2032, representing a compound annual growth rate (CAGR) of 21.48% over the forecast period.
Major market players:
Microsoft Corporation (US)
Google LLC (US)
IBM Corporation (US)
Amazon Web Services, Inc. (US)
Intel Corporation (US)
NVIDIA Corporation (US)
Apple Inc. (US)
Facebook, Inc. (US)
Qualcomm Incorporated (US)
Baidu, Inc. (China)
Alibaba Group Holding Limited (China)
Tencent Holdings Limited (China)
Samsung Electronics Co., Ltd. (South Korea)
Sony Corporation (Japan)
Huawei Technologies Co., Ltd. (China)
Others
Segmentation:
By Component
• Software
• Hardware
By Technology
• Machine Learning
• GenAI
By Function
• Training
• Inference
By Deployment
• On-Premises
• Cloud-Based
By Application
• Industrial
• Non-Industrial
By Application
• Automotive
• Consumer Electronics
• Healthcare
• Agriculture
• Transportation & Logistics
• Security & Surveillance
• Others
Access the full summary at: https://futuremarketconsulting.com/reportsdetail/global-ai-in-computer-vision-market-53535
Regions Covered in the Global AI in Computer Vision Market Report 2023:
Middle East and Africa (GCC Countries and Egypt)
North America (the United States, Mexico, and Canada)
South America (Brazil etc.)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia
Reasons for buying this report:
It offers an analysis of changing competitive scenarios.
For making informed decisions in businesses, it offers analytical data with strategic planning methodologies.
Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.
It offers a regional analysis of AI in Computer Vision Market along with the business profiles of several stakeholders.
It offers a seven-year assessment of AI in Computer Vision Market.
It helps in understanding the major key product segments.
It offers massive data about trending factors that will influence the progress of the AI in Computer Vision Market.
Market Dynamics:
Drivers:
- Innovations in healthcare are driving growth in AI in computer vision.
- AI has strong prospects in medical imaging and diagnostics.
- AI-powered systems are essential for image analysis to detect medical disorders and aid in treatment decisions.
- AI-driven visual analysis tools are crucial for early disease detection and personalized treatments.
- Demand for advanced imaging solutions is rising, expanding AI's applications in healthcare.
- Example: WHO launched S.A.R.A.H. in April 2024, a digital health assistant using AI in computer vision to analyze medical images and improve patient interaction.
Challenges:
- High costs of data management and storage hinder the growth of AI in computer vision.
- Large datasets, especially high-resolution images and videos, require terabytes of storage for AI model training.
- Expenses for cloud storage, data centers, and management systems are particularly challenging for startups and small businesses.
- These high costs limit market share and innovation in AI-powered computer vision products.
- Solutions include optimizing data management and storage to reduce costs.
- Edge inferencing technology helps distribute data processing away from central storage.
- Data compression techniques, like machine learning-based image representation, reduce storage needs without sacrificing speed.
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Future Market Consulting
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