종양학 분야 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The AI In Oncology Market size is expected to reach USD 26.90 Billion in 2034 from USD 2.50 Billion (2025) growing at a CAGR of 30.21% during 2026-2034.

The Global AI in Oncology Market is rapidly growing due to the increasing burden of cancer and the need for advanced diagnostic and treatment solutions. Artificial intelligence technologies are transforming oncology by enabling early detection, accurate diagnosis, and personalized treatment planning. The integration of machine learning algorithms with medical imaging and genomic data analysis is improving clinical decision-making and patient outcomes.

Major growth drivers include rising healthcare data volumes, advancements in deep learning, and growing investments in digital healthcare infrastructure. AI-powered tools assist in tumor detection, drug discovery, and predictive analytics, enhancing efficiency in oncology workflows. Collaboration between technology companies and healthcare providers is accelerating innovation. Additionally, increasing demand for precision medicine is driving adoption across developed and developing regions.

Looking forward, the market is expected to expand significantly with continuous technological advancements and regulatory support. AI integration with wearable devices and real-time monitoring systems will further enhance cancer management. As research institutions focus on data-driven oncology solutions, new applications will emerge. The AI in oncology market is poised to play a critical role in improving cancer survival rates and optimizing healthcare delivery globally.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

• Software Solutions
• Hardware
• Services

By Cancer Type

• Breast Cancer
• Lung Cancer
• Prostate Cancer
• Colorectal Cancer
• Brain Tumor
• Others

By Treatment Type

• Chemotherapy
• Radiotherapy
• Immunotherapy
• Others

COMPANIES PROFILED

• Azra AI, IBM Corporation, Siemens Healthineers GmbH, Intel Corporation, GE HealthCare Technologies Inc, NVIDIA Corporation, Digital Diagnostics Inc, ConcertAI, Median Technologies, PathAI
• We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN ONCOLOGY MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software Solutions Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN ONCOLOGY MARKET: BY CANCER TYPE 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Cancer Type
• 5.2. Breast Cancer Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Lung Cancer Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Prostate Cancer Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Colorectal Cancer Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Brain Tumor Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN ONCOLOGY MARKET: BY TREATMENT TYPE 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Treatment Type
• 6.2. Chemotherapy Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Radiotherapy Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Immunotherapy Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN ONCOLOGY MARKET: BY REGION 2022-2034(USD MN)

• 7.1. Regional Outlook
• 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.2.1 By Component
  • 7.2.2 By Cancer Type
  • 7.2.3 By Treatment Type
  • 7.2.4 United States
  • 7.2.5 Canada
  • 7.2.6 Mexico
• 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.3.1 By Component
  • 7.3.2 By Cancer Type
  • 7.3.3 By Treatment Type
  • 7.3.4 United Kingdom
  • 7.3.5 France
  • 7.3.6 Germany
  • 7.3.7 Italy
  • 7.3.8 Russia
  • 7.3.9 Rest Of Europe
• 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.4.1 By Component
  • 7.4.2 By Cancer Type
  • 7.4.3 By Treatment Type
  • 7.4.4 India
  • 7.4.5 Japan
  • 7.4.6 South Korea
  • 7.4.7 Australia
  • 7.4.8 South East Asia
  • 7.4.9 Rest Of Asia Pacific
• 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.5.1 By Component
  • 7.5.2 By Cancer Type
  • 7.5.3 By Treatment Type
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 South East Asia
  • 7.5.9 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Component
  • 7.6.2 By Cancer Type
  • 7.6.3 By Treatment Type
  • 7.6.4 Saudi Arabia
  • 7.6.5 UAE
  • 7.6.6 Israel
  • 7.6.7 South Africa
  • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

• 8.1. Recent Developments
• 8.2. Company Categorization
• 8.3. Supply Chain & Channel Partners (based on availability)
• 8.4. Market Share & Positioning Analysis (based on availability)
• 8.5. Vendor Landscape (based on availability)
• 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL AI IN ONCOLOGY INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 Azra AI
  • 9.2.2 IBM Corporation
  • 9.2.3 Siemens Healthineers GmbH
  • 9.2.4 Intel Corporation
  • 9.2.5 GE HealthCare Technologies Inc
  • 9.2.6 NVIDIA Corporation
  • 9.2.7 Digital Diagnostics Inc
  • 9.2.8 ConcertAI
  • 9.2.9 Median Technologies
  • 9.2.10 PathAI