2026-2034年全球人工智慧市場規模、佔有率、趨勢和成長分析報告（癌症治療領域）

全球腫瘤人工智慧市場預計將從2025年的25億美元成長至2034年的269億美元，預計在2026年至2034年間以30.21%的複合年成長率成長。全球腫瘤人工智慧市場正快速成長，這主要歸因於癌症負擔的加重以及對先進診斷和治療方案日益成長的需求。人工智慧（AI）技術正在透過實現早期檢測、精準診斷和個人化治療方案，變革腫瘤學領域。將機器學習演算法與醫學影像和基因組數據分析相結合，正在改善臨床決策和患者預後。

關鍵成長要素包括醫療保健數據量的不斷成長、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。人工智慧工具透過支援腫瘤檢測、藥物研發和預測分析，提高了腫瘤診療流程的效率。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發展中國家對人工智慧的採用。

展望未來，由於技術的持續進步和監管支持，預計該市場將顯著擴張。人工智慧與穿戴式裝置和即時監測系統的整合將進一步提升癌症管理水準。隨著研究機構專注於數據驅動的癌症解決方案，預計新的應用領域將持續出現。人工智慧在癌症治療領域的市場預計將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。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節提供清晰的市場概覽，包括關鍵定義、分類和當前產業格局。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式展望，預測期為指定時期。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以預測未來趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面審查，以確定高成長領域和區域趨勢，從而更深入地了解每個區域特有的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察，從而更有效地支援您的策略決策。

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：全球癌症治療人工智慧市場：按技術分類

• 市場分析、洞察與預測
• 機器學習
• 自然語言處理
• 情境感知處理和計算
• 電腦視覺
• 影像分析

第5章：全球癌症治療人工智慧市場：按應用領域分類

• 市場分析、洞察與預測
• 藥物發現
• 藥物研發
• 診斷和早期檢測
• 治療計畫制定和個人化治療
• 病人參與和遠端監測
• 治療後後續觀察和倖存者護理
• 數據管理與分析
• 其他用途

第6章：全球癌症治療人工智慧市場：以癌症類型分類

• 市場分析、洞察與預測
• 固體癌
• 骨髓惡性腫瘤
• 其他癌症

第7章：全球癌症治療人工智慧市場：按業務類型分類

• 市場分析、洞察與預測
• 整合套件/平台提供商
• 利基/點解決方案提供商
• 技術提供者
• 業務流程服務供應商

第8章：全球癌症治療人工智慧市場：依部署模式分類

• 市場分析、洞察與預測
• 基於雲端的模型
• 本地部署
• 混合模式

第9章：全球癌症治療人工智慧市場：按最終用戶分類

• 市場分析、洞察與預測
• 醫療服務提供方
• 製藥和生物技術公司
• 醫療器材與設備製造商
• 學術和研究機構
• 政府和監管機構
• 醫療保健支付方
• 其他最終用戶

第10章：全球癌症治療人工智慧市場：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11章 競爭格局

• 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12章：公司簡介

• 主要公司的市佔率分析
• 公司簡介
  • Aidoc
  • Amazon Web Services（AWS）
  • BenevolentAI
  • ConcertAI
  • CureMetrixInc
  • Exscientia
  • F. Hoffmann-La Roche
  • GE HealthCare
  • Google
  • IBM
  • Iktos
  • Insilico Medicine
  • Koninklijke Philips NV
  • Medtronic
  • Microsoft
  • Mindpeak GmbH
  • NVIDIA Corporation
  • Oracle
  • Paige AIInc
  • PathAIInc
  • Predictive Oncology
  • Qure.ai
  • Siemens Healthineers AG
  • SOPHiA GENETICS
  • Tempus AIInc

The global AI in oncology market size is expected to reach USD 26.90 Billion in 2034 from USD 2.50 Billion in 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 carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Technology

• Machine Learning
• Natural Language Processing
• Context-Aware Processing & Computing
• Computer Vision
• Image Analysis

By Application

• Drug Discovery
• Drug Development
• Diagnosis & Early Detection
• Treatment Planning & Personalization
• Patient Engagement & Remote Monitoring
• Post-Treatment Surveillance & Survivorship Care
• Data Management & Analytics
• Other Applications

By Cancer Type

• Solid Tumors
• Hematologic Malignancies
• Other Cancers

By Player Type

• Integrated Suite/Platform Providers
• Niche/Point Solution Providers
• Technology Providers
• Business Process Service Providers

By Deployment Model

• Cloud-Based Model
• On-Premises Model
• Hybrid Model

By End User

• Healthcare Providers
• Pharmaceutical & Biotechnology Companies
• Medical Device/Equipment Companies
• Academic & Research Institutions
• Government & Regulatory Agencies
• Healthcare Payers
• Other End Users

COMPANIES PROFILED

• Aidoc, Amazon Web Services (AWS), BenevolentAI, ConcertAI, CureMetrix, Inc., Exscientia, F. Hoffmann-La Roche, GE HealthCare, Google, IBM, Iktos, Insilico Medicine, Koninklijke Philips N.V., Medtronic, Microsoft, Mindpeak GmbH, NVIDIA Corporation, Oracle, Paige AI, Inc., PathAI, Inc., Predictive Oncology, Qure.ai, Siemens Healthineers AG, SOPHiA GENETICS, Tempus AI, Inc.

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 TECHNOLOGY 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Technology
• 4.2. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Context-Aware Processing & Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.5. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.6. Image Analysis Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Drug Discovery Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Drug Development Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Diagnosis & Early Detection Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Treatment Planning & Personalization Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Patient Engagement & Remote Monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Post-Treatment Surveillance & Survivorship Care Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.8. Data Management & Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.9. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

• 6.1. Market Analysis, Insights and Forecast Cancer Type
• 6.2. Solid Tumors Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Hematologic Malignancies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Other Cancers Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

• 7.1. Market Analysis, Insights and Forecast Player Type
• 7.2. Integrated Suite/Platform Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Niche/Point Solution Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Technology Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Business Process Service Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN ONCOLOGY MARKET: BY DEPLOYMENT MODEL 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast Deployment Model
• 8.2. Cloud-Based Model Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. On-Premises Model Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Hybrid Model Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN ONCOLOGY MARKET: BY END USER 2022-2034 (USD MN)

• 9.1. Market Analysis, Insights and Forecast End User
• 9.2. Healthcare Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.3. Pharmaceutical & Biotechnology Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.4. Medical Device/Equipment Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.5. Academic & Research Institutions Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.6. Government & Regulatory Agencies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.7. Healthcare Payers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.8. Other End Users Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 10. GLOBAL AI IN ONCOLOGY MARKET: BY REGION 2022-2034 (USD MN)

• 10.1. Regional Outlook
• 10.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.2.1 By Technology
  • 10.2.2 By Application
  • 10.2.3 By Cancer Type
  • 10.2.4 By Player Type
  • 10.2.5 By Deployment Model
  • 10.2.6 By End User
  • 10.2.7 United States
  • 10.2.8 Canada
  • 10.2.9 Mexico
• 10.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.3.1 By Technology
  • 10.3.2 By Application
  • 10.3.3 By Cancer Type
  • 10.3.4 By Player Type
  • 10.3.5 By Deployment Model
  • 10.3.6 By End User
  • 10.3.7 United Kingdom
  • 10.3.8 France
  • 10.3.9 Germany
  • 10.3.10 Italy
  • 10.3.11 Russia
  • 10.3.12 Rest Of Europe
• 10.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.4.1 By Technology
  • 10.4.2 By Application
  • 10.4.3 By Cancer Type
  • 10.4.4 By Player Type
  • 10.4.5 By Deployment Model
  • 10.4.6 By End User
  • 10.4.7 India
  • 10.4.8 Japan
  • 10.4.9 South Korea
  • 10.4.10 Australia
  • 10.4.11 South East Asia
  • 10.4.12 Rest Of Asia Pacific
• 10.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.5.1 By Technology
  • 10.5.2 By Application
  • 10.5.3 By Cancer Type
  • 10.5.4 By Player Type
  • 10.5.5 By Deployment Model
  • 10.5.6 By End User
  • 10.5.7 Brazil
  • 10.5.8 Argentina
  • 10.5.9 Peru
  • 10.5.10 Chile
  • 10.5.11 Rest of Latin America
• 10.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.6.1 By Technology
  • 10.6.2 By Application
  • 10.6.3 By Cancer Type
  • 10.6.4 By Player Type
  • 10.6.5 By Deployment Model
  • 10.6.6 By End User
  • 10.6.7 Saudi Arabia
  • 10.6.8 UAE
  • 10.6.9 Israel
  • 10.6.10 South Africa
  • 10.6.11 Rest of the Middle East And Africa

Chapter 11. COMPETITIVE LANDSCAPE

• 11.1. Recent Developments
• 11.2. Company Categorization
• 11.3. Supply Chain & Channel Partners (based on availability)
• 11.4. Market Share & Positioning Analysis (based on availability)
• 11.5. Vendor Landscape (based on availability)
• 11.6. Strategy Mapping

Chapter 12. COMPANY PROFILES OF GLOBAL AI IN ONCOLOGY INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Company Profiles
  • 12.2.1 Aidoc
  • 12.2.2 Amazon Web Services (AWS)
  • 12.2.3 BenevolentAI
  • 12.2.4 ConcertAI
  • 12.2.5 CureMetrixInc
  • 12.2.6 Exscientia
  • 12.2.7 F. Hoffmann-La Roche
  • 12.2.8 GE HealthCare
  • 12.2.9 Google
  • 12.2.10 IBM
  • 12.2.11 Iktos
  • 12.2.12 Insilico Medicine
  • 12.2.13 Koninklijke Philips N.V
  • 12.2.14 Medtronic
  • 12.2.15 Microsoft
  • 12.2.16 Mindpeak GmbH
  • 12.2.17 NVIDIA Corporation
  • 12.2.18 Oracle
  • 12.2.19 Paige AIInc
  • 12.2.20 PathAIInc
  • 12.2.21 Predictive Oncology
  • 12.2.22 Qure.ai
  • 12.2.23 Siemens Healthineers AG
  • 12.2.24 SOPHiA GENETICS
  • 12.2.25 Tempus AIInc