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市场调查报告书
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1574144

放射学人工智慧 (AI) 市场：2024-2029 年预测

Artificial Intelligence (AI) in Radiology Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 145 Pages | 商品交期: 最快1-2个工作天内

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简介目录

预计放射学市场中的人工智慧在预测期内将以 30.45% 的复合年增长率增长，从 2024 年的 22.7561 亿美元市场规模增长到 2029 年的 85.96802 万美元。

人工智慧 (AI) 中的深度学习演算法在基于视觉的应用中得到了完善。随着变分自动编码器和卷积类神经网路技术的实现，医学影像分析领域正在迅速扩展。由于测量的方便性，X光相片品质的传统定性评估有所不同。此外，人工智慧技术在分析影像资讯中包含的机械上困难的资讯模式方面变得越来越先进。例如，在放射学中，人工智慧演算法可以被设计来测量特定的放射线摄影特性，例如肿瘤的 3D 形状、每个像素的纹理以及肿瘤内的像素强度。

X 光照相术可以让有执照的医生研究临床图片和套件说明，以及识别和统一疾病，从而使他们能够检测、识别和监测疾病。其评估需要大量的专业知识和经验，有时容易受到意见的影响。与这种定性和主观评估相反，人工智慧非常擅长自动执行客观的数值分析，同时识别影像资料中的微妙模式。部署人工智慧来支援和协助乳房X光摄影医生将实现更准确和可重复的放射学评估。该应用程式为未来几年和几十年放射学市场人工智慧的进一步开拓打开了大门。

放射学市场人工智慧的驱动因素：

  • 神经治疗领域日益增长的需求预计将推动人工智慧在放射学市场的成长。

基于人工智慧的体积肿瘤分割可以提高所有脑肿瘤和其他神经系统癌症的识别和检测，具有极高的准确性和一致性。该系统还可以透过 MRI 扫描自动识别脑肿瘤。这些策略对于以可重复和公正的方式提供准确的诊断和评估肿瘤对治疗的反应将具有无价的价值。这种神经治疗的另一个使用案例是使用人工智慧来预测治疗结果，这有助于利用最佳策略。背景 机器学习已被用来根据 MR 影像的血液容积分布资料来预测病患的生存率。

例如，2023 年 2 月，放射筛检人工智慧平台 Avicenna 筹集了 700 万欧元的 A 轮融资，使其资本基础达到 1,000 万欧元。此阶段采用基于影像的深度学习来识别和评估放射学研究设施中危及生命的疾病。 电脑断层扫描影像用于在诊断前优先考虑有症状的患者。 Avicenna.AI 提供两种变体。一是心臟病发作的迹象和可能性，二是脑损伤和中风的可能性。该平台帮助放射科医师确定患者的生命是否受到威胁。

放射学市场人工智慧的地理格局：

  • 预计亚太地区将占据人工智慧放射学市场占有率的很大一部分。

由于医疗和生物技术行业的研究支出和开发不断增加，预计亚太地区将在放射学市场的人工智慧中占据重要份额。此外，这些地区预计的大量患者数量将增加对更好的癌症治疗基础设施的需求，从而推动医疗保健行业的成长并促进区域层级的市场开拓。亚太地区也正在投资医疗保健以推动新技术，特别是在新兴经济体。

该地区的经济体越来越注重建立健康的医疗保健系统，以实现患者的早期诊断和早期治疗。此外，随着各大主要企业都计划在亚太国家扩大和建设设施，该地区的市场在未来几年可能会成长。例如，2023年5月，该领域的世界领导者、基于人工智慧的放射学公司Annalise.ai在印度清奈设立了第一个中心。透过这项策略倡议，Annalize 继续渗透到世界舞台，在亚洲等成熟市场和新兴市场开展业务。该中心专注于研究和商业化新产品，将先进的成像资料和电脑科学相结合，提供完整的人工智慧解决方案来支援临床决策。

为什么要购买这份报告？

  • 富有洞察力的分析：获得详细的市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、产业和其他子区隔，也涵盖关键和新兴地区。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中释放新的业务流和收益。
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公司使用我们的报告的目的是什么？

产业与市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 过去的资料/预测，2022-2029
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要发展等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章放射学人工智慧市场：依技术分类

  • 介绍
  • 电脑辅助检测
  • 器官自动分割
  • 自然语言处理
  • 咨询
  • 定量/动力学
  • 其他的

第六章放射学人工智慧市场：依应用分类

  • 介绍
  • 乳房X光检查
  • 乳房摄影筛检
  • 神经病学
  • 心血管
  • 其他的

第七章放射学人工智慧市场：按最终用户划分

  • 介绍
  • 医院
  • 影像诊断中心
  • 其他的

第八章放射学人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Microsoft Corporation
  • Amazon Web Services Inc.
  • IBM Corporation
  • Rad AI
  • Behold.ai
  • IMAGEN
  • Aidoc
  • Koninklijke Philips NV
  • GE Healthcare
  • Siemens Healthcare GmbH
简介目录
Product Code: KSI061614385

The AI in radiology market is projected to grow at a CAGR of 30.45% during the forecast period, reaching a total market size of US$8,596.802 million by 2029, up from US$2,275.610 million in 2024.

Deep learning algorithms in artificial intelligence (AI) have been perfected in vision-based applications. The medical image analysis domain is expanding rapidly with the realization of variational autoencoders and convolutional neural network techniques. Traditional qualitative assessments for radiographic qualities differ since the measure is easy to perform. Moreover, AI techniques are more advanced at analyzing mechanically difficult information patterns in imaging information. For instance, in radiology, AI algorithms could be designed to measure specific radiographic characteristics, such as the 3D shape of a tumor, every pixel's texture, and pixel intensity within the tumor.

X-ray radiography is when licensed medical doctors study clinical photos and kit a statement or identify and single out diseases that allow disorders to be detected, identified, and monitored. That assessment requires a lot of expertise and experience, which is sometimes susceptible to opinion. In contrast to this qualitative, subjective evaluation, AI is extremely good at identifying subtle patterns in imaging data while automatically providing an objective numerical analysis. Implementing AI to support and assist mammogram physicians can result in more precise and reproducible radiological assessments. This application is opening the door to further development into AI in the radiology market in years or decades to come.

AI IN RADIOLOGY MARKET DRIVERS:

  • The increasing requirement from the neurological treatment sector is anticipated to drive AI in the radiology market growth.

Working off of volumetric tumor segmentation, AI can improve identification and detection across all brain tumors and other neurological cancers with superior accuracy and consistency. The system will also automatically identify brain tumors on MRI scans. These strategies can be extremely valuable in providing precise diagnoses and assessing the tumor response to treatment in a reproducible and unbiased manner. Another use case in this neurological treatment is the prediction of outcomes using AI, which can assist in utilizing the best strategy. Background Machine learning has been used to predict survival among patients based on blood volume distribution data from MR imaging.

For instance, in February 2023, Avicenna, an AI platform for radiology screening, raised €7 million in a series A venture, bringing its capital base to €10 million. The stage employs image-trained profound learning to recognize and evaluate life-threatening ailments in radiology research facilities. It uses CT scan imaging to prioritize patients with symptoms before diagnosis. Avicenna.AI offers two variations: one for heart attack indications and chance and another for brain damage and stroke chance. The platform assists radiologists in deciding if a patient's life is threatened.

AI In Radiology Market Geographical Outlook:

  • The Asia Pacific region is expected to hold a substantial AI in radiology market share.

Asia Pacific is projected to hold substantial shares of AI in the radiology market owing to a rise in research spending and development in the medical and biotech industries. Moreover, the expected large number of patients in these areas will increase the demand for better cancer treatment infrastructure, propelling healthcare sector growth and aiding market development at a regional level. Asia Pacific has also seen investment in the healthcare sector, especially in emerging economies, to advance newer technologies.

The region's economies are increasingly focusing on creating a sound healthcare system for early patient diagnosis and treatment. In addition, various key companies are focusing on advancing their reach to Asia Pacific countries by building their facilities, leading to the regional market's growth in the coming years. For instance, in May 2023, Annalise. ai, an AI-based radiology company that is a global leader in the field, established its first Indian center in Chennai. Through this strategic move, Annalise continues penetrating the world arena with its presence in established and emerging markets like Asia. This translates into a center that specializes in the research and commercialization of new products containing advanced imaging data coupled with computer science that together results in complete AI solutions to support clinical decision-making.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The AI In Radiology Market is segmented and analyzed as below:

By Technology

  • Computer-aided Detection
  • Auto-segmentation of Organs
  • Natural Language Processing
  • Consultation
  • Quantification and Kinetics
  • Others

By Application

  • Mammography
  • Chest Imaging
  • Neurology
  • Cardiovascular
  • Others

By End-User

  • Hospitals
  • Diagnostic Imaging Centers
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN RADIOLOGY MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Computer-aided Detection
  • 5.3. Auto-segmentation of Organs
  • 5.4. Natural Language Processing
  • 5.5. Consultation
  • 5.6. Quantification and Kinetics
  • 5.7. Others

6. AI IN RADIOLOGY MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Mammography
  • 6.3. Chest Imaging
  • 6.4. Neurology
  • 6.5. Cardiovascular
  • 6.6. Others

7. AI IN RADIOLOGY MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Hospitals
  • 7.3. Diagnostic Imaging Centers
  • 7.4. Others

8. AI IN RADIOLOGY MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Technology
    • 8.2.2. By Application
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Technology
    • 8.3.2. By Application
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Technology
    • 8.4.2. By Application
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Technology
    • 8.5.2. By Application
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Technology
    • 8.6.2. By Application
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Taiwan
      • 8.6.4.6. Indonesia
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Microsoft Corporation
  • 10.2. Amazon Web Services Inc.
  • 10.3. IBM Corporation
  • 10.4. Rad AI
  • 10.5. Behold.ai
  • 10.6. IMAGEN
  • 10.7. Aidoc
  • 10.8. Koninklijke Philips N.V.
  • 10.9. GE Healthcare
  • 10.10. Siemens Healthcare GmbH