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市场调查报告书
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1574123

医疗影像诊断领域的人工智慧 (AI) 市场 - 2024 年至 2029 年预测

Artificial Intelligence (AI) in Medical Imaging Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

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简介目录

医疗影像诊断领域的人工智慧 (AI) 市场总市场规模预计将从 2024 年的 24.49 亿美元增至 2029 年的 103.76 亿美元，预测期内复合年增长率为 33.47%。

医学影像处理市场中人工智慧（AI）的成长从根本上是由于医学影像中人工智慧（AI）创新执行力的不断增强而发展的。由于对更准确、更有效的诊断工具的需求不断增长，医学影像领域的人工智慧（AI）市场规模正在扩大。主要企业正在积极开发人工智慧演算法并将其整合到医学影像处理系统中，从而主导医学影像领域的人工智慧（AI）市场占有率。其成员包括健康服务创新组织、影像处理硬体生产商和程式设计工程师。市场成长预计将带来进一步的开拓和创新，以改善医学影像结果。

介绍

医学影像领域的人工智慧（AI）市场正在迅速扩大，诊断影像的实证变化正在重新思考医疗服务业务。为了提高准确性、效率和患者治疗效果，医学影像系统结合了机器学习和深度学习演算法。

对于 X 光、 电脑断层扫描、MRI 和超音波等医学扫描，医学影像领域人工智慧 (AI) 市场的成长能够增强影像处理、自动判读和异常识别。这些人工意识驱动的创新可以帮助放射科医生和医生检测和分析恶性生长、心血管感染、神经系统问题和外部肌肉特征等疾病。

医疗影像市场中的人工智慧 (AI) 驱动因素：

  • 对疾病准确、及时诊断的需求不断增长：

由于人们对完美和理想的疾病识别的兴趣日益浓厚，对准确诊断成像的需求不断增长，预计将推动人工智慧 (AI) 在医学成像中的采用。根据美国国家医学图书馆提供的统计数据，人工智慧（AI）在医学影像中的使用显着提高了诊断准确性。人工智慧演算法在疾病检测方面表现出高度的敏感性和特异性，使患者比通常情况下更早获得更好的治疗结果。随着医疗保健专业人员对更准确的疾病诊断的需求，人工智慧主导的医学影像解决方案日益变得重要。

医学影像诊断人工智慧（AI）市场的地理展望

  • 北美在医学影像领域的人工智慧 (AI) 市场处于领先地位。

北美在医学影像人工智慧（AI）市场中占有很大份额，并引领全球市场。该地区的成长得益于现代医疗基础设施、高昂的医疗成本以及主要企业和研究机构的大量存在。除此之外，促进人工智慧在医疗保健领域使用的有利政府措施和政策正在增加市场份额。对有效诊断工具、疾病早期检测和个人化治疗计划的需求不断增长，正在加强北美在医疗影像市场中人工智慧 (AI) 的份额。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 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影响未来市场发展。
  • 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。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、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、新产品开发、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 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、主要动态等）

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

第二章调查方法

  • 调查资料
  • 先决条件

第三章执行摘要

  • 研究亮点

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

第五章医学影像诊断中的人工智慧（AI）市场：透过提供

  • 介绍
  • 软体
  • 服务

第六章医学影像诊断中的人工智慧（AI）市场：按技术分类

  • 介绍
  • 机器学习
  • 深度学习
  • 电脑视觉

第七章医学影像诊断中的人工智慧（AI）市场：按应用分类

  • 介绍
  • 肿瘤学
  • 神经病学
  • 心臟病学
  • 肺
  • 整形外科
  • 其他的

第八章医学影像诊断中的人工智慧（AI）市场：按最终用户划分

  • 介绍
  • 医院/诊所
  • 影像诊断中心
  • 调查机构
  • 其他的

第九章 医学影像诊断领域的人工智慧（AI）市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第十章竞争环境及分析

  • 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

第十一章 公司简介

  • General Electric Company
  • IBM Corporation
  • Koninklijke Philips NV
  • NVIDIA Corporation
  • Siemens Healthineers AG
  • Canon Medical Systems Corporation
  • Hologic, Inc.
  • Agfa-Gevaert Group
  • Aidoc
  • Zebra Technologies Corp.
简介目录
Product Code: KSI061615675

The AI in medical imaging market is projected to witness a CAGR of 33.47% during the forecast period to reach a total market size of US$10.376 billion by 2029, up from US$2.449 billion in 2024.

As a result of the rising execution of man-made brainpower innovations in the medical care industry, artificial intelligence (AI) in the medical Imaging market growth has developed fundamentally. AI in the medical imaging market size has expanded due to the growing demand for diagnostic tools that are both more accurate and more effective. Key companies own the market share in medical imaging and AI since they are actively developing and integrating AI algorithms into medical imaging systems. Its members include innovation organizations in medical services, producers of imaging hardware, and programming engineers. The market growth has created room for anticipation of further development and innovation that will improve the results of medical imaging.

Introduction:

Artificial intelligence in the medical imaging market is expanding rapidly, and the medical services business is being rethought by changing demonstrative imaging. To improve accuracy, efficiency, and patient outcomes, medical imaging systems are incorporating machine learning and deep learning algorithms.

In medical scans like X-rays, CT scans, MRIs, and ultrasound, AI in Medical Imaging market growth enables enhanced image processing, automated interpretation, and the identification of anomalies. These man-made consciousness-fueled innovations can help radiologists and doctors find and analyze infirmities like malignant growth, cardiovascular infection, neurological issues, and outer muscle peculiarities.

AI IN MEDICAL IMAGING MARKET DRIVERS:

  • Growing demand for accurate and timely diagnosis of illness:

The growing demand for precise imaging is anticipated to drive AI adoption in medical imaging since there is growing interest in the perfect and ideal identification of illness. According to the statistics provided by the National Library of Medicine, AI usage in medical imaging has significantly improved diagnostic accuracy. AI algorithms have shown high sensitivity and specificity for the detection of ailments, which has, in turn, enabled patients to go through better outcomes of treatments much earlier than usual. Due to the demand for more accurate diagnosis of diseases by healthcare professionals, AI-driven medical imaging solutions are gaining importance daily.

AI in the Medical Imaging Market Geographical Outlook

  • North America is leading in the AI in the medical imaging market.

North America is leading the world market with a huge share of the medical imaging AI market. The regional growth can be attributed to the modern healthcare infrastructure, high healthcare expenditure, and the considerable presence of key companies or research institutions. Besides that, favorable government initiatives and policies promoting the use of AI in healthcare add to the market's share. The increasing demand for effective diagnostic tools, early illness identification, and personalized treatment plans bolsters North America's share of the AI market in medical imaging.

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)

Segmentation

By Offering

  • Software
  • Services

By Technology

  • Machine Learning
  • Deep Learning
  • Computer Vision

By Application

  • Oncology
  • Neurology
  • Cardiology
  • Pulmonary
  • Orthopedics
  • Others

By End User

  • Hospitals & Clinics
  • Diagnostics Image Centers
  • Research Institutes
  • Others

By Geography

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

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

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force 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

5. AI IN MEDICAL IMAGING MARKET, BY OFFERING

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. AI IN MEDICAL IMAGING MARKET, BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Machine Learning
  • 6.3. Deep Learning
  • 6.4. Computer Vision

7. AI IN MEDICAL IMAGING MARKET, BY APPLICATION

  • 7.1. Introduction
  • 7.2. Oncology
  • 7.3. Neurology
  • 7.4. Cardiology
  • 7.5. Pulmonary
  • 7.6. Orthopedics
  • 7.7. Others

8. AI IN MEDICAL IMAGING MARKET, END-USER

  • 8.1. Introduction
  • 8.2. Hospitals & Clinics
  • 8.3. Diagnostics Image Centers
  • 8.4. Research Institutes
  • 8.5. Others

9. AI IN MEDICAL IMAGING MARKET, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. United States
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. Japan
    • 9.6.2. China
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Taiwan
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations

11. COMPANY PROFILES

  • 11.1. General Electric Company
  • 11.2. IBM Corporation
  • 11.3. Koninklijke Philips N.V.
  • 11.4. NVIDIA Corporation
  • 11.5. Siemens Healthineers AG
  • 11.6. Canon Medical Systems Corporation
  • 11.7. Hologic, Inc.
  • 11.8. Agfa-Gevaert Group
  • 11.9. Aidoc
  • 11.10. Zebra Technologies Corp.