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 has witnessed significant growth between 2018 and 2022, driven by advancements in artificial intelligence (AI) and machine learning technologies, alongside increased demand for efficient, accurate medical diagnostic tools. This period saw a shift towards AI-driven tools in diagnostics, as healthcare providers sought faster, more accurate methods to diagnose conditions such as cancer, heart disease, and neurological disorders. As of 2022, AI-assisted diagnostics were seen as essential tools in radiology, pathology, and ophthalmology, among other medical fields. The market for AI image-assisted software flourished due to the rising adoption of AI-based systems in hospitals, clinics, and medical research institutions.
From 2023 to 2033, the AI Image-assisted Diagnosis Software Market is projected to experience an even more robust expansion. Key factors contributing to this growth include the increasing demand for personalized medicine, improvements in AI algorithms, and growing healthcare digitization. By 2033, AI-driven diagnostic solutions are expected to penetrate deeper into remote and underserved regions, providing high-quality diagnostic tools in low-resource settings. AI tools are predicted to reduce diagnostic errors and improve patient outcomes, with deep learning and neural networks continuously improving diagnostic accuracy. Furthermore, rising healthcare expenditures and the need for cost-effective solutions will propel the market, with AI-powered diagnostic software becoming an integral part of the medical decision-making process.
The market outlook is also bolstered by increasing regulatory support for AI in healthcare, as many countries are pushing for the adoption of digital healthcare solutions. Enhanced government regulations around data privacy and the ethical use of AI will provide a clearer path for the market's growth. Additionally, key players in the medical technology space, such as Siemens Healthineers and GE Healthcare, are integrating AI solutions into their products, fueling competition and innovation. As AI-assisted diagnostics evolve, the market will likely see the emergence of new applications across a variety of medical disciplines, ranging from dermatology to radiology and beyond.
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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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