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市場調查報告書
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1977916

全球人工智慧腫瘤市場規模、佔有率、趨勢和成長分析報告(2026-2034)

Global AI In Oncology Market Size, Share, Trends & Growth Analysis Report 2026-2034

出版日期: | 出版商: Value Market Research | 英文 141 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計到 2034 年,腫瘤學領域的人工智慧 (AI) 市場規模將從 2025 年的 25 億美元成長至 269 億美元,2026 年至 2034 年的複合年成長率為 30.21%。

由於癌症負擔日益加重,以及對先進診斷和治療方案的需求不斷成長,全球癌症治療領域的人工智慧市場正在快速發展。人工智慧技術透過實現早期檢測、精準診斷和個人化治療方案,正在變革癌症治療。機器學習演算法與醫學影像和基因組數據分析的融合,有助於改善臨床決策和病患預後。

關鍵成長要素包括醫療保健數據的成長、深度學習技術的進步以及對數位醫療基礎設施投資的增加。人工智慧工具正在支援腫瘤檢測、藥物研發和預測分析,從而簡化腫瘤診療流程。科技公司與醫療服務提供者之間的合作正在加速創新。此外,對精準醫療日益成長的需求正在推動已開發國家和開發中國家對該技術的採用。

展望未來,由於技術的持續進步和監管支持,市場預計將顯著擴張。人工智慧與穿戴式裝置和即時監測系統的融合將進一步改善癌症管理。隨著研究機構專注於數據驅動的腫瘤解決方案,新的應用領域也將出現。人工智慧在腫瘤領域的市場有望在全球提高癌症存活率和最佳化醫療服務方面發揮關鍵作用。

目錄

第1章:引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章 全球人工智慧腫瘤市場:按組件分類

  • 市場分析、洞察與預測
  • 軟體解決方案
  • 硬體
  • 服務

第5章 全球人工智慧腫瘤市場:依癌症類型分類

  • 市場分析、洞察與預測
  • 乳癌
  • 肺癌
  • 攝護腺癌
  • 結腸癌
  • 腦腫瘤
  • 其他

第6章 全球人工智慧腫瘤市場:依治療類型分類

  • 市場分析、洞察與預測
  • 化療
  • 放射治療
  • 免疫療法
  • 其他

第7章 全球人工智慧腫瘤市場:按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第8章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴(根據現有資訊)
  • 市場佔有率和市場定位分析(基於現有資訊)
  • 供應商情況(基於現有資訊)
  • 策略規劃

第9章:公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Azra AI
    • IBM Corporation
    • Siemens Healthineers GmbH
    • Intel Corporation
    • GE HealthCare Technologies Inc
    • NVIDIA Corporation
    • Digital Diagnostics Inc
    • ConcertAI
    • Median Technologies
    • PathAI
簡介目錄
Product Code: VMR112113824

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