Exclusive special offer and discount title banner vector image

INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST 2024-2032

SCOPE OF THE REPORT

India Artificial Intelligence (AI) in Healthcare Market by Offering (Software, Services, Hardware) Market by Technology (Natural Language Processing, Querying Method, Context Aware Processing, Deep Learning) Market by End-user (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Payers, Acos and Mcos, Patients) Market by Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Other Applications)


MARKET OVERVIEW

The India artificial intelligence (AI) in healthcare market is projected to develop with a CAGR of 37.86% over the forecast period of 2024-2032. Further, it is set to reach a revenue of $6889.13 million by 2032

The India artificial intelligence (AI) in healthcare market is undergoing substantive changes, with software offering emerging as the driving force behind innovation and efficiency in the sphere. These software solutions, powered by AI, are reforming various aspects of healthcare, from diagnostics to patient management systems. The market’s relentless commitment to integrating AI reflects a forward-thinking approach embracing innovation and actively expands the perspectives of possibilities within the field of Indian healthcare.

An influential aspect of AI technology within the Indian healthcare domain is the prevalence of natural language processing (NLP). NLP is a dominant force, facilitating seamless communication between machines and humans and driving advancements in AI applications across healthcare. This underlines a strategic emphasis on improving the understanding and interpretation of human language.

India Artificial Intelligence (AI) In Healthcare Market

To Know More About This Report, Request a Free Sample Copy

At the core of this transformation are healthcare providers, the primary adopters of AI in the India artificial intelligence (AI) in healthcare market. From diagnostics to treatment planning, healthcare providers strategically utilize AI technologies to enhance decision-making processes, optimize patient care, and improve overall healthcare outcomes. The integration of AI aligns with a market shift toward data-driven, personalized healthcare solutions, highlighting the important role of healthcare providers in the adoption and implementation of AI technologies.

However, the market faces a critical challenge in maintaining data security. As the reliance on AI in healthcare grows, there is a need for strategic measures to safeguard sensitive patient data. Addressing data security concerns is imperative for building trust and ensuring compliance with privacy regulations as the market undergoes digital transformation. Achieving a delicate balance between innovation and data security is a key determinant for the sustained growth and acceptance of AI in the India artificial intelligence (AI) in healthcare market.

The India artificial intelligence (AI) in healthcare market segmentation includes the market by offering, technology, end-user, and application. The technology segment is further divided into querying method and deep learning. The querying method involves the strategic formulation of targeted queries or questions to extract valuable insights from extensive datasets. This approach facilitates efficient data analysis, aiding healthcare professionals in making quicker and more precise decisions. By utilizing AI-driven querying methods, the healthcare industry can streamline processes, enhance diagnostic accuracy, and ultimately improve overall patient outcomes. The emphasis on this aspect of technology reflects a commitment to optimizing healthcare practices through intelligent information retrieval.

Simultaneously, deep learning employs artificial neural networks to replicate human learning processes, enabling AI systems to automatically recognize patterns and make informed decisions. Deep learning applications in healthcare contribute to advancements such as personalized treatment plans and improved diagnostic capabilities. The subtle segmentation of the technology category into querying methods and deep learning provides a focused perspective on the technological advancements propelling the AI revolution in the market.

Some of the leading players in the India artificial intelligence (AI) in healthcare market are Google, IBM Corporation, Microsoft Corporation, NVIDIA Corporation, etc. 

Microsoft Corporation, headquartered in Redmond, Washington, United States, is a global technology company. Renowned for its software products, including the ubiquitous Windows operating system and Office suite, Microsoft has a profound impact on personal computing worldwide. The company has diversified its portfolio with cloud services, gaming, and innovative hardware, highlighting a commitment to technological evolution.

REPORT SYNOPSIS

REPORT SCOPEDETAILS
Market Forecast Years2024-2032
Base Year2023
Market Historical Years2018-2022
Forecast Units

Revenue ($ Million)

Segments Analyzed
Offering, Technology, End-User, and Application
Countries AnalyzedIndia
Companies AnalyzedGE HealthCare, Google, IBM Corporation, Intel Corporation, Medtronic Plc, Microsoft Corporation, NVIDIA Corporation, Stryker Corporation, Siemens Healthineers

TABLE OF CONTENTS

  1. RESEARCH SCOPE & METHODOLOGY
    1. STUDY OBJECTIVES
    2. METHODOLOGY
    3. ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    1. MARKET SIZE & ESTIMATES
    2. COUNTRY SNAPSHOT
    3. COUNTRY ANALYSIS 
    4. SCOPE OF STUDY
    5. CRISIS SCENARIO ANALYSIS
    6. MAJOR MARKET FINDINGS
      1. SOFTWARE OFFERING IS LEADING THE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, DRIVING INNOVATION AND EFFICIENCY
      2. NATURAL LANGUAGE PROCESSING DOMINATING ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE TECHNOLOGY
      3. HEALTHCARE PROVIDERS ARE THE MAJOR USERS OF ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE
      4. DOSAGE ERROR REDUCTION IS THE FASTEST-GROWING APPLICATION
  3. MARKET DYNAMICS
    1. KEY DRIVERS
      1. LARGE VOLUMES OF HEALTHCARE DATA SUPPORTING THE ADOPTION OF AI
      2. GROWING NUMBER OF AI AND MACHINE LEARNING START-UPS
      3. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
      4. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. KEY RESTRAINTS
      1. CHALLENGES IN MAINTAINING DATA SECURITY
      2. COST CONSTRAINTS AND LOW RETURN ON INVESTMENT (ROI)
  4. KEY ANALYTICS
    1. KEY MARKET TRENDS
      1. WIDENING APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
      2. INCREASING DEMAND FOR AI IN DRUG DISCOVERY
      3. HIGH EMPHASIS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
      4. INCREASING USE OF AI IN GENETICS
      5. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. PESTLE ANALYSIS
      1. POLITICAL
      2. ECONOMICAL
      3. SOCIAL
      4. TECHNOLOGICAL
      5. LEGAL
      6. ENVIRONMENTAL
    3. PORTER’S FIVE FORCES ANALYSIS
      1. BUYERS POWER
      2. SUPPLIERS POWER
      3. SUBSTITUTION
      4. NEW ENTRANTS
      5. INDUSTRY RIVALRY
    4. VALUE CHAIN ANALYSIS
      1. DATA WAREHOUSE
      2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
      3. SOFTWARE DEVELOPMENT
    5. KEY BUYING CRITERIA
      1. APPLICATION
      2. TECHNOLOGY
      3. INTEGRATION WITH EXISTING INFRASTRUCTURE
  5. MARKET BY OFFERING
    1. SOFTWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. SERVICES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. HARDWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  6. MARKET BY TECHNOLOGY
    1. NATURAL LANGUAGE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. QUERYING METHOD
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. CONTEXT AWARE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. DEEP LEARNING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  7. MARKET BY END-USER
    1. HEALTHCARE PROVIDERS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. PAYERS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. ACOS AND MCOS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. PATIENTS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  8. MARKET BY APPLICATION
    1. ROBOT-ASSISTED SURGERY
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. VIRTUAL NURSING ASSISTANT
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. ADMINISTRATIVE WORKFLOW ASSISTANCE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. FRAUD DETECTION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. DOSAGE ERROR REDUCTION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    6. CLINICAL TRIAL PARTICIPANT IDENTIFIER
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    7. PRELIMINARY DIAGNOSIS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    8. OTHER APPLICATIONS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  9. COMPETITIVE LANDSCAPE
    1. KEY STRATEGIC DEVELOPMENTS
      1. MERGERS & ACQUISITIONS
      2. PRODUCT LAUNCHES & DEVELOPMENTS
      3. PARTNERSHIPS & AGREEMENTS
    2. COMPANY PROFILES
      1. GE HEALTHCARE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      2. GOOGLE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      3. IBM CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      4. INTEL CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      5. MEDTRONIC PLC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      6. MICROSOFT CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      7. NVIDIA CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      8. STRYKER CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      9. SIEMENS HEALTHINEERS
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES

LIST OF TABLES

TABLE 1: MARKET SNAPSHOT – ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE

TABLE 2: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 3: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 4: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 5: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 6: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 7: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 8: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 9: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 10: LIST OF MERGERS & ACQUISITIONS

TABLE 11: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS

TABLE 12: LIST OF PARTNERSHIPS & AGREEMENTS

LIST OF FIGURES

FIGURE 1: KEY MARKET TRENDS

FIGURE 2: PORTER’S FIVE FORCES ANALYSIS

FIGURE 3: VALUE CHAIN ANALYSIS

FIGURE 4: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY OFFERING, IN 2023

FIGURE 5: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE, 2024-2032 (IN $ MILLION)

FIGURE 6: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES, 2024-2032 (IN $ MILLION)

FIGURE 7: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE, 2024-2032 (IN $ MILLION)

FIGURE 8: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY TECHNOLOGY, IN 2023

FIGURE 9: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING, 2024-2032 (IN $ MILLION)

FIGURE 10: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING METHOD, 2024-2032 (IN $ MILLION)

FIGURE 11: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2024-2032 (IN $ MILLION)

FIGURE 12: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP LEARNING, 2024-2032 (IN $ MILLION)

FIGURE 13: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2023

FIGURE 14: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)

FIGURE 15: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)

FIGURE 16: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS, 2024-2032 (IN $ MILLION)

FIGURE 17: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND MCOS, 2024-2032 (IN $ MILLION)

FIGURE 18: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PATIENTS, 2024-2032 (IN $ MILLION)

FIGURE 19: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2023

FIGURE 20: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2024-2032 (IN $ MILLION)

FIGURE 21: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL NURSING ASSISTANT, 2024-2032 (IN $ MILLION)

FIGURE 22: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)

FIGURE 23: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD DETECTION, 2024-2032 (IN $ MILLION)

FIGURE 24: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE ERROR REDUCTION, 2024-2032 (IN $ MILLION)

FIGURE 25: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL TRIAL PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)

FIGURE 26: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PRELIMINARY DIAGNOSIS, 2024-2032 (IN $ MILLION)

FIGURE 27: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER APPLICATIONS, 2024-2032 (IN $ MILLION)

FAQ’s