India only had 64 doctors per 100,000 people available as of 2022, compared to a global average of roughly 150 per 100,000In remote locations, primary health clinics and subcentres may have drastically inadequate personnel numbers and insufficient necessary infrastructure. Because of this, high-quality diagnostic services are usually in short supply, especially in rural India, where more than 70% of the population lives. The COVID-19 pandemic has forced Indians to embrace digital change and reevaluate present healthcare norms.
In terms of revenue, the digital healthcare market in India was valued at INR 724.88 Bn in 2022. It is expected to reach INR 1,716.99 Bn by 2027, expanding at a Compound annual growth rate (CAGR) of ~16.78% during the 2023 - 2027 period.
In terms of revenue, the digital healthcare market in India was valued at INR 724.88 Bn in 2022. It is expected to reach INR 1,716.99 Bn by 2027, expanding at a Compound annual growth rate (CAGR) of ~16.78% during the 2023 - 2027 period.
COVID-19 Impact Analysis:
- The pandemic has highlighted the importance of technology in healthcare, and there has been an increased demand for AI healthtech solutions.
- The pandemic has accelerated the adoption of remote care solutions, and AI healthtech is playing an important role in enabling remote care. For example, AI-powered chatbots and virtual assistants can help patients manage their symptoms and provide personalized recommendations.
- AI is increasingly being used in drug development to accelerate the discovery and development of new treatments.
Table of Contents
Chapter 1: Executive Summary1.1. Executive summary
Chapter 2: Socio-economic Indicators
2.1. Socio-economic indicators
Chapter 3: Introduction
3.1. Market definition and structure
3.2. Types of healthcare analytics
3.2. Scope of digital healthcare in India
Chapter 4: India Healthcare Analytics Market Overview
4.1. Healthcare analytics market in India - Overview
4.2. Digital healthcare market size and growth and forecast (2021- 2027e)
4.3. Advantages of using AI by healthcare industry stakeholders
Chapter 5: COVID-19 Impact Analysis
5.1. Market scenario before COVID 19 period
5.2. Post COVID 19 market scenario
Chapter 6: Market Influencers
6.1. Market drivers
6.2. Market challenges
Chapter 7: Trends
7.1. Trends
Chapter 8: Competitive Landscape
8.1. Aindra Systems
- Company information
- Business description
- Products/Services
- Key people
- Funding
8.2. Artificial Learning System (Artelus)
8.3. Health Arx Technologies Private Limited
8.4. Niramai Health Analytix Private Limited
8.5. Predible Health
8.6. Qure.ai
8.7. SigTuple Technologies Private Limited
8.8. Tricog Health India Private Limited
8.9. IBM India Private Limited
8.10. Microsoft Corporation India Private Limited
8.11. Siemens Healthcare Private Limited
Chapter 9: Major Startups
9.1. Major startups
Chapter 10: Funding
10.1. Top investments in India’s AI healthcare sector
Chapter 11: Appendix
11.1. Research methodology
Companies Mentioned
- Aindra Systems
- Artificial Learning System (Artelus)
- Health Arx Technologies Private Limited
- Niramai Health Analytix Private Limited
- Predible Health
- Qure.ai
- SigTuple Technologies Private Limited
- Tricog Health India Private Limited
- IBM India Private Limited
- Microsoft Corporation India Private Limited
Methodology
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