According to our latest research, the global AI Disease Prediction Software market size will reach USD 4896 million in 2031, growing at a CAGR of 11.4% over the analysis period.
AI disease prediction software is a tool developed using artificial intelligence technologies (such as machine learning, deep learning, big data analysis, etc.), which aims to predict disease risks, early diagnosis or prognosis assessment by analyzing patient data (such as medical records, images, genetic information, etc.).
This report is a detailed and comprehensive analysis for global AI Disease Prediction Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Disease Prediction Software market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI Disease Prediction Software market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI Disease Prediction Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI Disease Prediction Software market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Disease Prediction Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Disease Prediction Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IntelliGenes, IBM Watson Oncology, PathAI, Zebra Medical Vision, Siemens Healthineers, GitHub LifeAI, DeepView, Google DeepMind, Binariks, Paige.AI, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Disease Prediction Software market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Cloud-based
On-premises
Market segment by Application
Cancer
Cardiovascular Disease
Nervous System Disease
Chronic Disease and Metabolic Disease
Others
Market segment by players, this report covers
IntelliGenes
IBM Watson Oncology
PathAI
Zebra Medical Vision
Siemens Healthineers
GitHub LifeAI
DeepView
Google DeepMind
Binariks
Paige.AI
Lunit INSIGHT
Arterys
Winterlight Labs
BrainScope
Livongo
Deep Genomics
IDx-DR
ChestEye
Viz.ai
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Disease Prediction Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Disease Prediction Software, with revenue, gross margin, and global market share of AI Disease Prediction Software from 2020 to 2025.
Chapter 3, the AI Disease Prediction Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI Disease Prediction Software market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Disease Prediction Software.
Chapter 13, to describe AI Disease Prediction Software research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Disease Prediction Software. Industry analysis & Market Report on AI Disease Prediction Software is a syndicated market report, published as Global AI Disease Prediction Software Market 2025 by Company, Regions, Type and Application, Forecast to 2031. It is complete Research Study and Industry Analysis of AI Disease Prediction Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.