AI Image-assisted Diagnosis Software Market was valued at USD 2.1 Billion in 2022 and is projected to reach USD 10.5 Billion by 2030, growing at a CAGR of 22.4% from 2024 to 2030.
The AI image-assisted diagnosis software market was valued at approximately $1.2 billion in 2022, with a compound annual growth rate (CAGR) projected at 23.5% from 2023 to 2028. This growth is driven by increasing demand for advanced diagnostic tools and the integration of artificial intelligence in medical imaging to enhance diagnostic accuracy and efficiency. The rise in chronic diseases and the growing prevalence of imaging modalities are expected to further bolster market expansion. Additionally, advancements in AI algorithms and the reduction in the cost of imaging technologies are contributing to market growth.
Opportunity analysis reveals significant potential in emerging markets, where the adoption of AI-based diagnostic tools is accelerating due to improving healthcare infrastructure and rising investment in digital health technologies. Regions such as Asia-Pacific and Latin America are showing rapid growth, presenting lucrative opportunities for expansion. The increased focus on personalized medicine and the integration of AI with other technologies such as cloud computing and big data analytics are expected to open new avenues for market players. These factors collectively indicate a dynamic and evolving market landscape with promising prospects for future development.
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KONFOONG BIOTECH INTERNATIONAL CO.
LTD（KFBIO）
Solvision
IBM Watson
Butterfly Network
Arterys
Zebra Medical Vision
Freenome
MIT Technology Review
Lunit
DiA Imaging
RetinAi
Subtle Medical
BrainMiner
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global AI Image-assisted Diagnosis Software Market
Hospital
Ambulatory Surgery Center
Based on Types the Market is categorized into Below types that held the largest AI Image-assisted Diagnosis Software market share In 2023.
Ultrasound Image
Radiographic Image
Radiation Therapy
Pathological Analysis
Endoscopic Image
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global AI Image-assisted Diagnosis Software Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global AI Image-assisted Diagnosis Software Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global AI Image-assisted Diagnosis Software Market, By Type
6. Global AI Image-assisted Diagnosis Software Market, By Application
7. Global AI Image-assisted Diagnosis Software Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global AI Image-assisted Diagnosis Software Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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