AI Health Detection Market Trends and Forecast
The future of the global AI health detection market looks promising with opportunities in the hospital, enterprise, and individual markets. The global AI health detection market is expected to grow with a CAGR of 34.6% from 2024 to 2030. The major drivers for this market are increasing prevalence of chronic diseases and growing demand for personalized medicine.
• Lucintel forecasts that physical health is expected to witness higher growth over the forecast period.
• Within this market, hospital is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the AI Health Detection Market
• United States: IBM launched Watson Health for precision medicine, and the FDA approved several AI diagnostic tools, enhancing early disease detection.
• China: Alibaba Health announced AI-driven telehealth services expansion, and the government aims to integrate AI in 70% of healthcare facilities by 2025.
• United Kingdom: Google DeepMind partnered with NHS for AI-based patient monitoring, and the government committed £250 million to develop AI health technologies.
• Germany: Siemens Healthineers introduced AI-powered imaging solutions, and the government supports AI healthcare startups with funding and regulatory frameworks.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Health Detection Market by Segment
The study includes a forecast for the global AI health detection market by type, application, and region.
AI Health Detection Market by Type [Value from 2018 to 2030]:
• Physical Health
• Mental Health
AI Health Detection Market by Application [Value from 2018 to 2030]:
• Hospital
• Enterprise
• Individual
• Others
AI Health Detection Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Health Detection Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI health detection companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI health detection companies profiled in this report include-
• Nuvoola
• Oatmeal Health
• NIRAMAI
• iCAD
• MultiplAI Health
• Medicus AI
• AEYE Health
• NURA
• Kheiron
• Aidoc
Recent Development in the AI Health Detection Market
• Google Health: Launched an AI-based tool for early detection of diabetic retinopathy, aiming to improve diagnostic accuracy and accessibility for patients globally. This initiative marks a significant step in utilizing AI for eye disease detection.
• IBM Watson Health: Partnered with various healthcare institutions to deploy AI solutions for oncology and genomics. Their AI-driven platforms assist in identifying personalized treatment options and improving patient outcomes through advanced data analytics.
• Philips Healthcare: Introduced IntelliSpace AI Workflow Suite, which integrates AI into radiology workflows to enhance imaging interpretation and diagnostic confidence. This suite is designed to streamline operations and support clinicians in making more informed decisions.
• Siemens Healthineers: Unveiled AI-Rad Companion, an AI-powered software for assisting radiologists in image interpretation. The software aids in detecting abnormalities and generating reports, thus enhancing the efficiency and accuracy of radiological assessments.
• Alibaba Health: Expanded its AI-driven telehealth services to rural areas in China, aiming to provide accessible and affordable healthcare. This initiative is part of a broader strategy to leverage AI for bridging healthcare gaps and improving patient care in underserved regions.
Features of the Global AI Health Detection Market
Market Size Estimates: AI health detection market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI health detection market size by type, application, and region in terms of value ($B).
Regional Analysis: AI health detection market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI health detection market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI health detection market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI health detection market?
Answer: The global AI health detection market is expected to grow with a CAGR of 34.6% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI health detection market?
Answer: The major drivers for this market are increasing prevalence of chronic diseases and growing demand for personalized medicine.
Q3. What are the major segments for AI health detection market?
Answer: The future of the AI health detection market looks promising with opportunities in the hospital, enterprise, and individual markets.
Q4. Who are the key AI health detection market companies?
Answer: Some of the key AI health detection companies are as follows:
• Nuvoola
• Oatmeal Health
• NIRAMAI
• iCAD
• MultiplAI Health
• Medicus AI
• AEYE Health
• NURA
• Kheiron
• Aidoc
Q5. Which AI health detection market segment will be the largest in future?
Answer: Lucintel forecasts that physical health is expected to witness higher growth over the forecast period.
Q6. In AI health detection market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the AI health detection market by type (physical health and mental health), application (hospital, enterprise, individual, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to AI Health Detection Market, AI Health Detection Market Size, AI Health Detection Market Growth, AI Health Detection Market Analysis, AI Health Detection Market Report, AI Health Detection Market Share, AI Health Detection Market Trends, AI Health Detection Market Forecast, AI Health Detection Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.