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市场调查报告书
商品编码
1977916

全球人工智慧肿瘤市场规模、份额、趋势和成长分析报告(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个工作天内

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简介目录

预计到 2034 年,肿瘤学领域的人工智慧 (AI) 市场规模将从 2025 年的 25 亿美元成长至 269 亿美元,2026 年至 2034 年的复合年增长率为 30.21%。

由于癌症负担日益加重,以及对先进诊断和治疗方案的需求不断增长,全球癌症治疗领域的人工智慧市场正在快速发展。人工智慧技术透过实现早期检测、精准诊断和个人化治疗方案,正在变革癌症治疗。机器学习演算法与医学影像和基因组数据分析的融合,有助于改善临床决策和病患预后。

关键成长要素包括医疗保健数据的成长、深度学习技术的进步以及对数位医疗基础设施投资的增加。人工智慧工具正在支援肿瘤检测、药物研发和预测分析,从而简化肿瘤诊疗流程。科技公司与医疗服务提供者之间的合作正在加速创新。此外,对精准医疗日益增长的需求正在推动已开发国家和开发中国家对该技术的采用。

展望未来,由于技术的持续进步和监管支持,市场预计将显着扩张。人工智慧与穿戴式装置和即时监测系统的融合将进一步改善癌症管理。随着研究机构专注于数据驱动的肿瘤解决方案,新的应用领域也将出现。人工智慧在肿瘤领域的市场有望在全球提高癌症存活率和优化医疗服务方面发挥关键作用。

目录

第一章:引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 渗透率和成长前景分析
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制因素
    • 市场机会
    • 市场挑战
  • 波特五力分析
  • PESTLE分析

第四章 全球人工智慧肿瘤市场:按组件划分

  • 市场分析、洞察与预测
  • 软体解决方案
  • 硬体
  • 服务

第五章 全球人工智慧肿瘤市场:依癌症类型划分

  • 市场分析、洞察与预测
  • 乳癌
  • 肺癌
  • 摄护腺癌
  • 结肠癌
  • 脑肿瘤
  • 其他的

第六章 全球人工智慧肿瘤市场:依治疗类型划分

  • 市场分析、洞察与预测
  • 化疗
  • 放射治疗
  • 免疫疗法
  • 其他的

第七章 全球人工智慧肿瘤市场:按地区划分

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第八章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴(根据现有资讯)
  • 市场占有率和市场定位分析(基于现有资讯)
  • 供应商情况(基于现有资讯)
  • 策略规划

第九章:公司简介

  • 主要公司的市占率分析
  • 公司简介
    • Azra AI
    • IBM Corporation
    • Siemens Healthineers GmbH
    • Intel Corporation
    • GE HealthCare Technologies Inc
    • NVIDIA Corporation
    • Digital Diagnostics Inc
    • ConcertAI
    • Median Technologies
    • PathAI
简介目录
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