Report Overview

India AI in Healthcare Market – Industry Trends & Forecast Report, 2030

India AI in Healthcare Market size was estimated at USD 0.95 billion in 2023. During the forecast period between 2024 and 2030, India AI in Healthcare Market size is projected to grow at a CAGR of 31.62% reaching a value of USD 6.5 billion by 2030. Prominent drivers of the market include the increasing integration of AI in healthcare as India’s healthcare infrastructure undergoes transformation to meet global standards. AI technology enables systems to process extensive datasets and simulate human decision-making by recognizing patterns and delivering insights. This technology is crucial for addressing India's rising demand for preventive healthcare and optimizing treatment outcomes. Additionally, advancements in global partnerships are expected to foster innovation and support knowledge transfer, further accelerating AI adoption in India's healthcare landscape.

AI in Healthcare – Overview

AI in healthcare refers to the use of advanced machine learning algorithms and systems designed to perform tasks that traditionally require human intelligence, such as diagnosis, treatment planning, and data analysis. By processing large volumes of medical data, AI can identify patterns, predict outcomes, and assist in decision-making to improve patient care. Applications include medical imaging analysis, predictive analytics for patient monitoring, robotic surgery, and drug discovery. AI-driven tools help healthcare providers deliver faster, more accurate diagnoses and personalized treatment, ultimately enhancing operational efficiency, reducing costs, and improving overall patient outcomes in the healthcare system.

India AI in Healthcare Market

Growth Drivers

Government’s Supportive Initiatives and Increasing Investments

Government of India has been significantly supporting the advancements of AI in healthcare, driving substantial growth in the sector. Initiatives spearheaded by NITI Aayog, such as the National Strategy for Artificial Intelligence (#AIforAll), are focused on establishing a robust AI ecosystem to address key healthcare challenges. Under this program, NITI Aayog, in collaboration with Intel and Tata Institute of Fundamental Research, established the International Center for Transformative Artificial Intelligence (ICTAI) in Bangalore, which prioritizes AI research in healthcare, agriculture, and smart mobility. State-level policies further amplify AI’s reach, as seen in Tamil Nadu’s Safe and Ethical AI Policy and Karnataka’s Center of Excellence for Data Science and Artificial Intelligence (CoE-DS&AI), which promote secure AI implementation, industry innovation, and capacity-building in healthcare and beyond. Additionally, the Ministry of Electronics and Information Technology launched INDIAai, the National AI Portal, to centralize resources and nurture talent in AI. These strategic efforts underscore the government’s commitment to fostering AI advancements, aiming to position India as a global AI hub and improve healthcare infrastructure and patient care outcomes.

Challenges

Data Privacy Concerns

The growth of the India AI In Healthcare Market faces significant challenges, particularly due to high implementation costs and data privacy concerns. The adoption of AI systems in healthcare involves substantial investment in advanced technologies and infrastructure, which can limit accessibility for smaller healthcare providers. Additionally, as AI systems make decisions that mimic human judgment, concerns surrounding data privacy and security become paramount. The integration of AI in medical care necessitates the collection and analysis of sensitive patient data, raising questions about the protection and ethical use of this information. The existing regulatory framework for AI in healthcare is still under development, requiring further refinement to ensure that data privacy is safeguarded while enabling effective AI integration.

Impact of Escalating Geopolitical Tensions on India AI in Healthcare Market

Escalating geopolitical tensions among countries and spreading across regions could have a significant impact on the growth of India AI in Healthcare Market. Increased political instability can disrupt global supply chains, affecting the availability of critical AI technologies and healthcare resources. Moreover, tensions may lead to shifts in international collaborations, hindering knowledge transfer and innovation in AI healthcare solutions. Trade restrictions and regulatory uncertainties could also limit investment opportunities, slowing the development of AI infrastructure. Additionally, growing concerns over data security and cross-border data flows could impact the adoption of AI technologies in India's healthcare sector, delaying progress.

India AI in Healthcare Market

Segmental Coverage

India AI in Healthcare Market – By Technology

By technology, India AI in Healthcare Market is divided into Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, and Robotics segments. The machine learning (ML) segment holds the largest share of India AI in Healthcare Market by technology, due to ML’s ability to analyze vast healthcare data and generate actionable insights. As a subset of artificial intelligence (AI), ML enables systems to learn from data and detect patterns with minimal human intervention. In healthcare, ML technology is particularly beneficial for automating processes such as medical billing, clinical decision support, and predictive analytics. With the increasing availability of electronic health records and patient data, machine learning helps healthcare providers adopt a more predictive approach to precision medicine, improving care delivery and patient outcomes. By identifying complex patterns and offering clinical decision support, machine learning enhances diagnostics and treatment, complementing the roles of medical professionals rather than replacing them. As India’s healthcare sector continues to evolve, machine learning's capabilities in data processing and predictive analysis make it a cornerstone of the industry’s transformation.

India AI in Healthcare Market – By Application

On the basis of application, India AI in Healthcare Market is divided into Drug Discovery, Medical Imaging, Disease Diagnosis, Personalized Medicine, and Remote Healthcare segments.

India AI in Healthcare Market – By End User

Based on end user, India AI in Healthcare Market is divided into Hospitals & Clinics, Pharmaceutical Companies, Insurance Companies, and Research Institutions segments. The hospitals & clinic segment holds the highest share in India AI in Healthcare Marke by end user, primarily due to the increasing adoption of AI technologies to improve patient care and operational efficiency. AI applications in hospitals and clinics include diagnostic tools, predictive analytics, and personalized treatment plans, all aimed at enhancing clinical outcomes. AI-driven solutions are helping healthcare providers streamline processes, reduce human errors, and deliver more accurate and timely diagnoses. As hospitals and clinics continue to prioritize digital transformation, AI technologies are becoming integral in improving patient care and optimizing healthcare workflows, boosting the segment's dominance.

India AI in Healthcare Market – By Region

The in-depth research report on India AI in Healthcare Market covers the market in the country’s major regions: North India, South India, East India, and West India regions. West India region holds the highest share in India AI in Healthcare Market and is expected to maintain its dominance during the forecast period. Maharashtra, particularly, leads the market, driven by its robust healthcare infrastructure and strategic investments in AI technologies. The state allocated INR 17,327 crore to its public health budget for 2023-2024, underscoring its commitment to advancing healthcare. Mumbai, along with surrounding areas, is home to some of India’s most sophisticated medical facilities. In 2024, Maharashtra’s government hospitals are enhancing their diagnostic and treatment capabilities through AI. Notably, initiatives like the AI conference and collaborations with major technology companies like Google are accelerating AI integration into healthcare. Additionally, regions like Delhi, Bengaluru, and Kerala are expected to contribute to the region’s growth, reinforcing Maharashtra's position as a key player in AI adoption within healthcare.

Competitive Landscape

Major players operating in India AI in Healthcare Market include PharmEasy, HealthifyMe, Consure Medical, Predible Health, Artelus, SigTuple, Netmeds, Mfine, AIG Hospitals, and Qure.ai. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

Recent Developments

• In October 2024 - Andrew Ng’s AI Fund made its first investment in India’s healthcare sector by backing Jivi, a Gurugram-based AI-driven healthcare company. Jivi utilizes AI to enhance patient care, offering diagnostic tools, health report generation, and administrative automation.

Scope of the Report

By Technology

• Machine Learning (ML)

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

By Application

• Drug Discovery

• Medical Imaging

• Disease Diagnosis

• Personalized Medicine

• Remote Healthcare

By End User

• Hospitals & Clinics

• Pharmaceutical Companies

• Insurance Companies

• Research Institutions

By Region

• North India

• South India

• East India

• West India

1. Research Framework
   1. Research Objective
   2. Product Overview
   3. Market Segmentation
2. Executive Summary
3. India AI in Healthcare Market Insights
   1. Industry Value Chain Analysis
   2. DROC Analysis
      1. Growth Drivers
         1. Increasing Government Support and Investment
         2. Growing Advancements in Data Analytics
         3. Rising Healthcare Demand
      2. Restraints
         1. High Implementation Costs
         2. Data Privacy Concerns
      3. Opportunities
         1. Increasing Demand for Personalized Medicine
         2. Telemedicine Expansion
      4. Challenges
         1. Regulatory Hurdles
         2. Ethical Concerns
   3. Technological Advancements/Recent Developments
   4. Regulatory Framework
   5. Porter’s Five Forces Analysis
      1. Bargaining Power of Suppliers
      2. Bargaining Power of Buyers
      3. Threat of New Entrants
      4. Threat of Substitutes
      5. Intensity of Rivalry
4. India AI in Healthcare Market: Pricing Analysis
5. India AI in Healthcare Market: Marketing Strategies
6. India AI in Healthcare Market Overview
   1. Market Size & Forecast, 2019–2030
      1. By Value (USD Billion)
   2. Market Share & Forecast
      1. By Technology
         1. Machine Learning
         2. Natural Language Processing (NLP)
         3. Computer Vision
         4. Robotics
      2. By Application
         1. Drug Discovery
         2. Medical Imaging
         3. Disease Diagnosis
         4. Personalized Medicine
         5. Remote Healthcare
      3. By End User
         1. Hospitals & Clinics
         2. Pharmaceutical Companies
         3. Insurance Companies
         4. Research Institutions
      4. By Region
         1. North India
         2. South India
         3. East India
         4. West India
7. North India AI in Healthcare Market Overview
   1. Market Size & Forecast, 2019–2030
      1. By Value (USD Billion)
   2. Market Share & Forecast
      1. By Technology
      2. By Application
      3. By End User
8. South India AI in Healthcare Market Overview
   1. Market Size & Forecast, 2019–2030
      1. By Value (USD Billion)
   2. Market Share & Forecast
      1. By Technology
      2. By Application
      3. By End User
9. East India AI in Healthcare Market Overview
   1. Market Size & Forecast, 2019–2030
      1. By Value (USD Billion)
   2. Market Share & Forecast
      1. By Technology
      2. By Application
      3. By End User
10. West India AI in Healthcare Market Overview
    1. Market Size & Forecast, 2019–2030
       1. By Value (USD Billion)
    2. Market Share & Forecast
       1. By Technology
       2. By Application
       3. By End User
11. Competitive Landscape
    1. List of Key Players and Their Offerings
    2. India AI in Healthcare Market Share Analysis, 2023
    3. Competitive Benchmarking, By Operating Parameters
    4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
12. Impact of Escalating Geopolitical Tensions on India AI in Healthcare Market
13. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)
    1. PharmEasy
    2. HealthifyMe
    3. Consure Medical
    4. Predible Health
    5. Artelus
    6. SigTuple
    7. Netmeds
    8. Mfine
    9. AIG Hospitals
    10. Qure.ai
    11. Other Prominent Players
14. Key Strategic Recommendations
15. Research Methodology
    1.    Qualitative Research
       1.  Primary & Secondary Research
    2.    Quantitative Research
    3.    Market Breakdown & Data Triangulation
       1.  Secondary Research
       2.  Primary Research
    4.    Breakdown of Primary Research Respondents, By Region
    5.    Assumptions & Limitations

*Financial information of non-listed companies can be provided as per availability.

**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable

List of Figures

Figure 1       India AI in Healthcare Market Segmentation

Figure 2       India AI in Healthcare Market Value Chain Analysis

Figure 3       Company Market Share Analysis, 2023

Figure 4       India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Figure 5       India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Figure 6       India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Figure 7       India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Figure 8       India AI in Healthcare Market Share, By Region, By Value (USD Billion) 2019–2030

Figure 9       North India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Figure 10     North India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Figure 11     North India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Figure 12     North India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Figure 13     South India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Figure 14     South India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Figure 15     South India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Figure 16     South India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Figure 17     East India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Figure 18     East India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Figure 19     East India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Figure 20     East India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Figure 21     West India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Figure 22     West India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Figure 23     West India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Figure 24     West India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

List of Tables

Table 1        India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Table 2        India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Table 3        India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Table 4        India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Table 5        India AI in Healthcare Market Share, By Region, By Value (USD Billion) 2019–2030

Table 6        North India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Table 7        North India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Table 8        North India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Table 9        North India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Table 10      South India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Table 11      South India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Table 12      South India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Table 13      South India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Table 14      East India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Table 15      East India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Table 16      East India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Table 17      East India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Table 18      West India AI in Healthcare Market Size, By Value (USD Billion), 2019–2030

Table 19      West India AI in Healthcare Market Share, By Technology, By Value (USD Billion) 2019–2030

Table 20      West India AI in Healthcare Market Share, By Application, By Value (USD Billion) 2019–2030

Table 21      West India AI in Healthcare Market Share, By End User, By Value (USD Billion) 2019–2030

Table 22    PharmEasy Company Overview

Table 23    PharmEasy Financial Overview

Table 24    HealthifyMe Company Overview

Table 25    HealthifyMe Financial Overview

Table 26    Consure Medical Company Overview

Table 27    Consure Medical Financial Overview

Table 28    Predible Health Company Overview

Table 29    Predible Health Financial Overview

Table 30    Artelus Company Overview

Table 31    Artelus Financial Overview

Table 32    SigTuple Company Overview

Table 33    SigTuple Financial Overview

Table 34    Netmeds Company Overview

Table 35    Netmeds Financial Overview

Table 36    Mfine Company Overview

Table 37    Mfine Financial Overview

Table 38    AIG Hospitals Company Overview

Table 39    AIG Hospitals Financial Overview

Table 40    Qure.ai Company Overview

Table 41    Qure.ai Financial Overview