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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.

AI Health Detection Market Trends and Forecast

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

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.
Análisis de la intensidad competitiva de la industria basada en el modelo de cinco fuerzas de Porter.

Preguntas frecuentes

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.
Table of Contents

1. Executive Summary
2. Global AI Health Detection Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI Health Detection Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI Health Detection Market by Type
3.3.1: Physical Health
3.3.2: Mental Health
3.4: Global AI Health Detection Market by Application
3.4.1: Hospital
3.4.2: Enterprise
3.4.3: Individual
3.4.4: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global AI Health Detection Market by Region
4.2: North American AI Health Detection Market
4.2.1: North American AI Health Detection Market by Type: Physical Health and Mental Health
4.2.2: North American AI Health Detection Market by Application: Hospital, Enterprise, Individual, and Others
4.3: European AI Health Detection Market
4.3.1: European AI Health Detection Market by Type: Physical Health and Mental Health
4.3.2: European AI Health Detection Market by Application: Hospital, Enterprise, Individual, and Others
4.4: APAC AI Health Detection Market
4.4.1: APAC AI Health Detection Market by Type: Physical Health and Mental Health
4.4.2: APAC AI Health Detection Market by Application: Hospital, Enterprise, Individual, and Others
4.5: ROW AI Health Detection Market
4.5.1: ROW AI Health Detection Market by Type: Physical Health and Mental Health
4.5.2: ROW AI Health Detection Market by Application: Hospital, Enterprise, Individual, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI Health Detection Market by Type
6.1.2: Growth Opportunities for the Global AI Health Detection Market by Application
6.1.3: Growth Opportunities for the Global AI Health Detection Market by Region
6.2: Emerging Trends in the Global AI Health Detection Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI Health Detection Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Health Detection Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Nuvoola
7.2: Oatmeal Health
7.3: NIRAMAI
7.4: iCAD
7.5: MultiplAI Health
7.6: Medicus AI
7.7: AEYE Health
7.8: NURA
7.9: Kheiron
7.10: Aidoc
.

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A 150 Page Report
Lucintel ha estado en el negocio de la consultoría de investigación y gestión de mercado desde 2000 y ha publicado más de 1000 informes de inteligencia de mercado en varios mercados / aplicaciones y atendió a más de 1,000 clientes en todo el mundo. Este estudio es una culminación de cuatro meses de esfuerzo a tiempo completo realizado por el equipo analista de Lucintel. Los analistas utilizaron las siguientes fuentes para la creación y finalización de este valioso informe:
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