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Artificial Intelligence (AI) in Precision Medicine Market - Size, Share Outlook, Growth Analysis Report and Forecast Trends (2026-2035)

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    Report

  • 400 Pages
  • May 2026
  • Region: Global
  • Expert Market Research
  • ID: 6163151
The global artificial intelligence (AI) in precision medicine market was valued at USD 2.21 Billion in 2025. It is poised to grow at a CAGR of 35.60% during the forecast period of 2026-2035, and reach USD 46.45 Billion by 2035. The market growth is driven by the rising demand for personalized therapies, the integration of genomics data, and AI-driven predictive analytics, which are accelerating precision medicine adoption, improving treatment outcomes, reducing trial-and-error approaches, and enhancing healthcare efficiency globally.

Key Market Trends and Insights

  • Based on the type, the deep learning segment held nearly 33% share in the historical period.
  • By component, the software segment led the market, holding the largest revenue share of above 41% during the historical period.
  • Based on the therapeutic application, oncology recorded a significant revenue share of around 30% during the historical period.

Market Size and Forecast

  • Market Size (2025): USD 2.21 Billion
  • Projected Market Size (2035): USD 46.45 Billion
  • CAGR (2026-2035): 35.60%

Artificial Intelligence (AI) in Precision Medicine Market Overview

Artificial Intelligence (AI) in precision medicine enables personalized healthcare by analyzing patient-specific data, supporting biomarker-based treatment, drug response prediction, and molecular profiling. It facilitates patient stratification, multi-omics integration, and predictive analytics, improving treatment outcomes and reducing adverse effects. The market reached a value of approximately USD 2.21 Billion in 2025, with growth driven by the integration of advanced analytics with genomics and clinical data to enhance patient outcomes and operational efficiency. Key developments include improved clinical decision support, growing use of predictive models, and expanding applications in drug discovery, diagnostics, and personalized treatment planning, supported by strong industry collaborations and technological progress.

Artificial Intelligence (AI) in Precision Medicine Market Growth Drivers

Increasing AI Investment to Accelerate Precision Medicine Innovation and the Market Value

The rising demand for personalized healthcare and greater data availability are driving investments in AI for precision medicine. For instance, in March 2026, Verily Health secured a USD 300 million funding round led by Series X Capital with continued support from Alphabet and healthcare partners, accelerating its AI-native precision health platform. This infusion will enhance data integration, predictive insights, and tailored interventions, driving market expansion during the forecast period.

Artificial Intelligence (AI) in Precision Medicine Market Trends

Key trends shaping the market include AI-driven precision medicine and care.

Growing AI Driven Precision Care Platforms is Likely to Boost the Market Landscape

The growing integration of clinical data and patient engagement AI is shaping precision medicine delivery. For instance, in November 2025, Get Well and RhythmX AI merged to form GW RhythmX, an AI driven precision care platform uniting patient engagement with predictive analytics and clinical insights. This development enables real time personalized treatment recommendations and operational efficiencies, supporting broader adoption of precision medicine technologies.

Artificial Intelligence (AI) in Precision Medicine Market Segmentation

Market Breakup by Type

  • Machine Learning
  • Querying Method
  • Deep Learning
  • Context-Aware Processing
  • Natural Language Processing

Market Breakup by Components

  • Hardware
  • Software

Market Breakup by Therapeutic Area

  • Oncology
  • Neurology
  • Cardiology
  • Respiratory
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Artificial Intelligence (AI) in Precision Medicine Market Share

Oncology Anticipated to Dominate the Market Segment by Therapeutic Application

The market is segmented into oncology, neurology, cardiology, respiratory, and others, based on the therapeutic application. Among these, oncology led the market, recording a substantial revenue share of around 30% during the historical period. This dominance is driven by the increasing adoption of AI for biomarker-based treatment, predictive modeling, and drug response prediction in cancer care. According to the World Health Organization, global cancer cases are projected to exceed 35 million by 2050, marking a 77% increase from approximately 20 million cases in 2022. AI-powered tools enable patient stratification and personalized therapy planning, enhancing treatment outcomes and accelerating clinical decision supportin oncology globally.

Global Artificial Intelligence (AI) in Precision Medicine Market Analysis by Region

North America dominated the market during the historical period, accounting for the largest revenue share of above 29%. The region’s leadership is attributed to advanced healthcare infrastructure, strong presence of major pharmaceutical and technology companies, and early adoption of AI-driven platforms. Investments in AI for molecular profiling, multi-omics integration, and personalized therapy have further strengthened North America’s market position and growth trajectory.

Leading Players in the Artificial Intelligence (AI) in Precision Medicine Market

The key features of the market report comprise patent analysis, clinical trials analysis, funding and investment analysis, and strategic initiatives by the leading players. The major companies in the market are as follows:

Novo Nordisk A/S

Novo Nordisk A/S, headquartered in Bagsværd, Denmark, and founded in 1923, is a global leader in diabetes care and metabolic disorders. In precision medicine, Novo Nordisk leverages biomarker-based treatment approaches to optimize therapeutic strategies, enabling patient stratification, improved drug response prediction, and personalized therapy planning across metabolic, obesity, and rare disease portfolios.

GE Healthcare

GE Healthcare, headquartered in Chicago, Illinois, and founded in 1892, is a leading provider of medical imaging and diagnostic solutions. In March 2023, GE Healthcare highlighted its advancements in precision diagnostics and therapeutics, emphasizing AI-powered imaging and clinical applications. The company leverages technologies such as CT, MRI, and molecular imaging integrated with artificial intelligence to enhance diagnostic accuracy and treatment planning. Its solutions support personalized care by enabling data-driven clinical decision support, strengthening its role in advancing precision medicine and improving patient outcomes.

Intel Corporation

Intel Corporation, headquartered in Santa Clara, California, and founded in 1968, specializes in semiconductor and AI computing solutions. Intel enables multi-omics integration in precision medicine by providing AI platforms that support genomics, molecular profiling, and predictive analytics, helping researchers and clinicians develop personalized therapies, accelerate drug discovery, and optimize patient stratification for improved healthcare outcomes worldwide.

NVIDIA Corporation

NVIDIA Corporation, headquartered in Santa Clara, California, and founded in 1993, is a leader in GPU computing and AI platforms. In healthcare, NVIDIA drives clinical decision support by enabling AI-powered imaging, predictive analytics, and workflow automation, facilitating early diagnosis, precision treatment planning, and optimized patient care across hospitals, laboratories, and research centers globally.

Other key players in the market are Microsoft Corporation, Alphabet Inc., IBM Corporation, Enlitic Inc., AstraZeneca, and Sanofi.

Key Questions Answered in the Artificial Intelligence (AI) in Precision Medicine Market

  • What was the artificial intelligence (AI) in precision medicine market value in 2025?
  • What is the artificial intelligence (AI) in precision medicine market forecast outlook for 2026-2035?
  • What major factors aid the demand for artificial intelligence (AI) in precision medicine market?
  • How has the market performed so far, and how is it anticipated to perform in the coming years?
  • What are the market’s major drivers, opportunities, and restraints?
  • What are the major artificial intelligence (AI) in precision medicine market trends?
  • Which type is expected to dominate the market segment?
  • Which components is projected to lead the market segment?
  • Which therapeutic area is projected to lead the market segment?
  • Who are the key players in the artificial intelligence (AI) in precision medicine market?
  • What are the current unmet needs and challenges in the market?
  • How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?

Table of Contents

1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage - Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Artificial Intelligence in Precision Medicine Market Overview
3.1 Global Artificial Intelligence in Precision Medicine Market Historical Value (2019-2025)
3.2 Global Artificial Intelligence in Precision Medicine Market Forecast Value (2026-2035)
4 Global Artificial Intelligence in Precision Medicine Market Landscape
4.1 Artificial Intelligence in Precision: Developers Landscape
4.1.1 Analysis by Year of Establishment
4.1.2 Analysis by Company Size
4.1.3 Analysis by Region
4.2 Artificial Intelligence in Precision: Product Landscape
4.2.1 Analysis by Type
4.2.2 Analysis by Components
4.2.3 Analysis by Region
5 Global Artificial Intelligence in Precision Medicine Market Dynamics
5.1 Market Drivers and Constraints
5.2 SWOT Analysis
5.3 Porter’s Five Forces Model
5.4 Key Demand Indicators
5.5 Key Price Indicators
5.6 Industry Events, Initiatives, and Trends
5.7 Value Chain Analysis
6 Global Artificial Intelligence in Precision Medicine Market Segmentation
6.1 Global Artificial Intelligence in Precision Medicine Market by Type
6.1.1 Market Overview
6.1.2 Machine Learning
6.1.3 Querying Method
6.1.4 Deep Learning
6.1.5 Context-Aware Processing
6.1.6 Natural Language Processing
6.2 Global Artificial Intelligence in Precision Medicine Market by Components
6.2.1 Market Overview
6.2.2 Hardware
6.2.3 Software
6.3 Global Artificial Intelligence in Precision Medicine Market by Therapeutic Area
6.3.1 Market Overview
6.3.2 Oncology
6.3.3 Neurology
6.3.4 Cardiology
6.3.5 Respiratory
6.3.6 Others
6.4 Global Artificial Intelligence in Precision Medicine Market by Region
6.4.1 Market Overview
6.4.2 North America
6.4.3 Europe
6.4.4 Asia Pacific
6.4.5 Latin America
6.4.6 Middle East and Africa
7 North America Artificial Intelligence in Precision Medicine Market
7.1 Market Share by Country
7.2 United States of America
7.3 Canada
8 Europe Artificial Intelligence in Precision Medicine Market
8.1 Market Share by Country
8.2 United Kingdom
8.3 Germany
8.4 France
8.5 Italy
8.6 Others
9 Asia Pacific Artificial Intelligence in Precision Medicine Market
9.1 Market Share by Country
9.2 China
9.3 Japan
9.4 India
9.5 ASEAN
9.6 Australia
9.7 Others
10 Latin America Artificial Intelligence in Precision Medicine Market
10.1 Market Share by Country
10.2 Brazil
10.3 Argentina
10.4 Mexico
10.5 Others
11 Middle East and Africa Artificial Intelligence in Precision Medicine Market
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.4 Nigeria
11.5 South Africa
11.6 Others
12 Regulatory Framework
12.1 Regulatory Overview
12.1.1 US FDA
12.1.2 EU EMA
12.1.3 INDIA CDSCO
12.1.4 JAPAN PMDA
12.1.5 Others
13 Patent Analysis
13.1 Analysis by Type of Patent
13.2 Analysis by Publication year
13.3 Analysis by Issuing Authority
13.4 Analysis by Patent Age
13.5 Analysis by CPC Analysis
13.6 Analysis by Patent Valuation
13.7 Analysis by Key Players
14 Grants Analysis
14.1 Analysis by year
14.2 Analysis by Amount Awarded
14.3 Analysis by Issuing Authority
14.4 Analysis by Grant Application
14.5 Analysis by Funding Institute
14.6 Analysis by NIH Departments
14.7 Analysis by Recipient Organization
15 Clinical Trials Analysis
15.1 Analysis by Trial Registration Year
15.2 Analysis by Trial Status
15.3 Analysis by Trial Phase
15.4 Analysis by Therapeutic Area
15.5 Analysis by Geography
16 Funding and Investment Analysis
16.1 Analysis by Funding Instances
16.2 Analysis by Type of Funding
16.3 Analysis by Funding Amount
16.4 Analysis by Leading Players
16.5 Analysis by Leading Investors
16.6 Analysis by Geography
17 Partnership and Collaborations Analysis
17.1 Analysis by Partnership Instances
17.2 Analysis by Type of Partnership
17.3 Analysis by Leading Players
17.4 Analysis by Geography
18 Supplier Landscape
18.1 Novo Nordisk A/S
18.1.1 Financial Analysis
18.1.2 Product Portfolio
18.1.3 Demographic Reach and Achievements
18.1.4 Mergers and Acquisitions
18.1.5 Certifications
18.2 GE Healthcare
18.2.1 Financial Analysis
18.2.2 Product Portfolio
18.2.3 Demographic Reach and Achievements
18.2.4 Mergers and Acquisitions
18.2.5 Certifications
18.3 Intel Corporation
18.3.1 Financial Analysis
18.3.2 Product Portfolio
18.3.3 Demographic Reach and Achievements
18.3.4 Mergers and Acquisitions
18.3.5 Certifications
18.4 NVIDIA Corporation
18.4.1 Financial Analysis
18.4.2 Product Portfolio
18.4.3 Demographic Reach and Achievements
18.4.4 Mergers and Acquisitions
18.4.5 Certifications
18.5 Microsoft Corporation
18.5.1 Financial Analysis
18.5.2 Product Portfolio
18.5.3 Demographic Reach and Achievements
18.5.4 Mergers and Acquisitions
18.5.5 Certifications
18.6 Alphabet Inc.
18.6.1 Financial Analysis
18.6.2 Product Portfolio
18.6.3 Demographic Reach and Achievements
18.6.4 Mergers and Acquisitions
18.6.5 Certifications
18.7 IBM Corporation
18.7.1 Financial Analysis
18.7.2 Product Portfolio
18.7.3 Demographic Reach and Achievements
18.7.4 Mergers and Acquisitions
18.7.5 Certifications
18.8 Enlitic Inc.
18.8.1 Financial Analysis
18.8.2 Product Portfolio
18.8.3 Demographic Reach and Achievements
18.8.4 Mergers and Acquisitions
18.8.5 Certifications
18.9 AstraZeneca
18.9.1 Financial Analysis
18.9.2 Product Portfolio
18.9.3 Demographic Reach and Achievements
18.9.4 Mergers and Acquisitions
18.9.5 Certifications
18.10 Sanofi
18.10.1 Financial Analysis
18.10.2 Product Portfolio
18.10.3 Demographic Reach and Achievements
18.10.4 Mergers and Acquisitions
18.10.5 Certifications
19 Key Opinion Leaders (KOL) Insights (Additional Insight)
20 Company Competitiveness Analysis (Additional Insight)
20.1 Very Small Companies
20.2 Small Companies
20.3 Mid-Sized Companies
20.4 Large Companies
20.5 Very Large Companies
21 Payment Methods (Additional Insight)
21.1 Government Funded
21.2 Private Insurance
21.3 Out-of-Pocket

Companies Mentioned

  • Novo Nordisk A/S
  • GE Healthcare
  • Intel Corporation
  • NVIDIA Corporation