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市场调查报告书
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1574170

放射学工作流程优化中的人工智慧 (AI) 市场：2024 年至 2029 年预测

Artificial Intelligence (AI) in Radiology Workflow Optimization Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 131 Pages | 商品交期: 最快1-2个工作天内

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简介目录

放射学工作流程优化中的人工智慧（AI）市场预计将以32.56%的复合年增长率成长，2029年市场规模为4,932,358,000美元，预计2024年将达到1,204,935,000美元。

人工智慧正在彻底改变放射学工作流程增强领域，开创准确性和效率的新时代。随着对能够提供快速、准确诊断的解决方案的需求不断增长，人工智慧驱动的解决方案已成为一个转折点和游戏规则改变者。人工智慧整合解决方案透过为放射科医生提供足够的资讯、减少误诊并加速患者疾病的早期诊断，促进适当的医学影像解读。

因此，人工智慧透过减少影像因果关係和影像分类等日常任务来优化输出，使放射科医生能够更专注于复杂和具有挑战性的病例。放射学工作流程优化中的人工智慧市场目前正处于积极成长阶段，因为领先的医疗保健提供者和诊断成像中心可以轻鬆采用这些解决方案。将人工智慧纳入放射学业务预计将透过改善患者治疗结果、降低成本和简化流程来改变医疗保健服务。

放射学工作流程优化中的人工智慧 (AI) 市场驱动因素：

  • 由于重复性任务的自动化，预计市场将成长

放射学工作流程优化中的人工智慧 (AI) 市场对于提高放射学实践效率的重复流程自动化至关重要。由机器学习驱动的演算法可以快速筛选与各种医学影像（包括 X 光和 MRI）相关的大量资料，发现相似性和不规则性。分割影像、提取特定特征和搜寻过去类似病例等任务可以自动化，使放射科医生能够腾出时间来处理更复杂和重要的病例。这种简化的过程提高了放射学的效率，从而可以更快地进行诊断并改善患者的治疗结果。自动化消除了人为错误并创造了一致性，这对医疗保健专业人员和患者都有好处。

放射学工作流程优化中人工智慧 (AI) 市场的地域展望

  • 北美在预测期内将经历指数级增长

北美已成为放射学工作流程优化人工智慧 (AI) 市场的市场领导者。北美的优势源自于其强大的医疗体系、人工智慧技术的快速融合以及研发的高投入。此外，该地区也是多家推动创新的着名人工智慧和医疗技术公司的所在地。随着该地区对精准医疗和以患者为中心的护理的关注，人工智慧驱动的放射技术正在投入大量资金，这引起了医疗保健提供者和医疗机构的极大兴趣。据估计，北美将继续在新兴技术领域处于领先地位，特别是随着其人口预计将成长并接受人工智慧。

为什么要购买这份报告？

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  • 竞争格局：了解世界主要参与者所采取的策略策略，并了解采用正确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。
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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

  • 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、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域分析，包括收益成长以及预测细分市场和国家
  • 公司概况（尤其是关键发展）

放射学工作流程优化市场中的人工智慧（AI）细分和分析如下：

依技术

  • 机器学习
  • 深度学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 其他的

按用途

  • 影像撷取与预处理
  • 影像分析与解释
  • 报告和文件
  • 品管与保证
  • 其他的

按最终用户

  • 医院/诊所
  • 影像诊断中心
  • 研究机构/学术中心
  • 其他的

按地区

  • 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 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

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
  • 相关利益者的主要利益

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
  • CXO观点

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
  • 分析师观点

第五章放射学工作流程优化中的人工智慧 (AI) 市场：按技术分类

  • 介绍
  • 机器学习
  • 深度学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 其他的

第六章放射学工作流程优化中的人工智慧 (AI) 市场：按应用分类

  • 介绍
  • 影像撷取与预处理
  • 影像分析与解释
  • 报告和文件
  • 品管与保证
  • 其他的

第七章放射学工作流程优化中的人工智慧 (AI) 市场：按最终用户分类

  • 介绍
  • 医院/诊所
  • 影像诊断中心
  • 研究机构/学术中心
  • 其他的

第八章放射学工作流程优化中的人工智慧（AI）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

  • Aidoc Medical Ltd.
  • Zebra Medical Vision Ltd.
  • Enlitic, Inc.
  • Butterfly Network, Inc.
  • IBM Watson Health（A Division of IBM Corporation）
  • Siemens Healthineers Ag
  • Ge Healthcare（A Division of General Electric Company）
  • Nvidia Corporation
  • Imagen Technologies, Inc.
  • Koninklijke Philips NV
简介目录
Product Code: KSI061615947

Artificial Intelligence (AI) in the radiology workflow optimization market is expected to grow at a CAGR of 32.56%, reaching a market size of US$4,932.358 million in 2029 and US$1,204.935 million in 2024.

AI has disrupted the radiology workflow enhancement field, marking a new dawn of precision and efficiency. Due to the growing demand for solutions that can offer speedy and precise diagnosis, AI-powered solutions have been a turning point and have transformed the situation. AI-integrated solutions facilitate appropriate medical imaging interpretation by providing the radiologist with adequate information, mitigating misdiagnosis, and aiding in the speed of the early diagnosis of illness in patients.

Therefore, AI optimizes the output by reducing mundane activities such as image causation and image classification, allowing radiologists to focus more on intricate and challenging cases. The market for AI in radiology workflow optimization is currently in a forward growth phase with the ready adoption of these solutions by major healthcare providers and imaging centers. AI's incorporation into radiology operations promises to alter healthcare delivery by improving patient outcomes, lowering costs, and streamlining processes.

Artificial Intelligence (AI) in Radiology Workflow Optimization Market Drivers:

  • Automation of repetitive tasks is anticipated to increase the market growth

The automation of repetitive processes is critical in altering the efficiency of radiology practices in the AI in the radiology workflow optimization market. The machine learning-powered algorithms can quickly screen through extensive amounts of data related to different medical images, including X-rays and MRIs, to find similarities and irregularities. Tasks such as image splitting, extraction of certain properties, and searching for similar cases in history can be automated so that radiologists can work on more complex and important cases. This simplification of processes improves the efficiency of radiology and enables speedier diagnoses and enhanced patient outcomes. Automation eliminates human error and creates uniformity, which works well for both the medical professional and the patient.

Artificial Intelligence (AI) in Radiology Workflow Optimization Market Geographical Outlook

  • North America is witnessing exponential growth during the forecast period

North America has emerged as the market leader in AI in the radiology workflow optimization market. North America's preponderance can be attributed to its robust healthcare system, quick integration of AI technologies, and high investments in research and development. Furthermore, several prominent AI and health technology companies that foster innovations are found in the region. The region's focus on precision medicine and patient-centered care has led to significant funding for AI-oriented radiology technologies that greatly interest healthcare providers and institutions. It is estimated that North America will continue to lead in emerging technologies, especially due to the population's anticipated growth and acceptance of AI.

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)

The Artificial Intelligence (AI) in radiology workflow optimization market is segmented and analyzed as follows:

By Technology

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Others

By Application

  • Image Acquisition And Preprocessing
  • Image Analysis And Interpretation
  • Reporting And Documentation
  • Quality Control And Assurance
  • Others

By End-User

  • Hospitals And Clinics
  • Diagnostic Imaging Centers
  • Research Institutes And Academic Centers
  • 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
  • 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 to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

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. ARTIFICIAL INTELLIGENCE (AI) IN RADIOLOGY WORKFLOW OPTIMIZATION MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Deep Learning
  • 5.4. Natural Language Processing (NLP)
  • 5.5. Computer Vision
  • 5.6. Others

6. ARTIFICIAL INTELLIGENCE (AI) IN RADIOLOGY WORKFLOW OPTIMIZATION MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Image Acquisition And Preprocessing
  • 6.3. Image Analysis And Interpretation
  • 6.4. Reporting And Documentation
  • 6.5. Quality Control And Assurance
  • 6.6. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN THE RADIOLOGY WORKFLOW OPTIMIZATION MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Hospitals And Clinics
  • 7.3. Diagnostic Imaging Centers
  • 7.4. Research Institutes and Academic Centers
  • 7.5. Others

8. ARTIFICIAL INTELLIGENCE (AI) IN RADIOLOGY WORKFLOW OPTIMIZATION 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. United States
      • 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. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Italy
      • 8.4.4.5. Spain
      • 8.4.4.6. 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. 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. Japan
      • 8.6.4.2. China
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 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. Aidoc Medical Ltd.
  • 10.2. Zebra Medical Vision Ltd.
  • 10.3. Enlitic, Inc.
  • 10.4. Butterfly Network, Inc.
  • 10.5. IBM Watson Health (A Division of IBM Corporation)
  • 10.6. Siemens Healthineers Ag
  • 10.7. Ge Healthcare (A Division of General Electric Company)
  • 10.8. Nvidia Corporation
  • 10.9. Imagen Technologies, Inc.
  • 10.10. Koninklijke Philips N.V.