首页 > 市场调查报告书 > 医疗设备

体外诊断人工智能诊断用人工智能

市场调查报告书

商品编码

1573707

诊断市场中的人工智慧、机会、成长动力、产业趋势分析与预测，2024-2032

Artificial Intelligence in Diagnostics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年08月27日 | 出版商:

Global Market Insights Inc. | 英文 100 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2023 年，全球人工智慧诊断市场估值为11 亿美元。预计为22.2%在疾病诊断。

随着慢性病变得越来越普遍，医疗保健提供者越来越多地转向人工智慧解决方案。这些工具增强了早期检测，确保精确诊断，并促进针对糖尿病和癌症等疾病的客製化治疗策略。人口老化、久坐的生活方式和不良饮食习惯等因素加剧了慢性病的增加。这导致目标族群显着增加，医疗保健需求增加。世界卫生组织 (WHO) 2023 年报告称，慢性病导致全球死亡人数的 71%，其中每年仅心血管疾病就造成 1790 万人死亡。

对人工智慧工具的需求进一步推动了人工智慧在诊断市场的成长。医疗机构优先考虑提高诊断精度、营运效率和改善患者治疗结果。这项需求源自于日益复杂的医疗资料、对更快、更可靠的诊断流程的需求，以及对个人化医疗的日益关注。此外，人工智慧技术的快速进步和数位医疗平台的广泛采用正在加速人工智慧工具在各种诊断应用中的整合。

诊断行业的整体人工智慧根据组件、应用、最终用途和区域进行细分。

2023年，放射科领域以28.4%的营收份额引领市场。放射学包括对 X 光、CT 扫描、MRI 和超音波等大量医学影像的分析，它在人工智慧工具中找到了主要盟友。这些工具擅长处理和解释医学影像，显着提高诊断效率。放射学是最早采用人工智慧的医学领域之一，特别是在影像辨识和解释方面。这种早期采用带来了成熟和完善的人工智慧工具，现在已在医疗机构中广泛信任，推动了该领域的成长。

到 2032 年，医院和诊所领域预计将达到 33 亿美元。人工智慧驱动的诊断工具在管理从成像到实验室测试的大量程序方面发挥关键作用，确保快速、准确的结果。作为采用先进医疗技术的前沿，医院和诊所利用其资源和基础设施无缝整合跨部门的人工智慧系统，增强诊断能力并提升病患照护水准。

2023年，北美人工智慧诊断产业产值达4.516亿美元，预计2024年至2032年复合年增长率为21.2%。该地区的医疗保健提供者渴望采用人工智慧驱动的诊断工具，旨在提高准确性、最大限度地减少错误并改善患者的治疗效果。对技术创新和坚实的医疗基础设施的大力重视推动了这一趋势。此外，由于心血管问题、糖尿病和癌症等慢性病的发生率很高，该地区认识到基于人工智慧的诊断在早期检测和管理中的关键作用，进一步推动了医疗保健领域对人工智慧解决方案的需求。

产业生态系统分析
产业影响力
- 成长动力
  - 慢性病盛行率上升
  - 对人工智慧工具的需求不断增加
  - 技术进步
  - 有利的政府措施和资金
- 产业陷阱与挑战
  - 采购和维护成本高
  - 资料隐私和安全问题
成长潜力分析
监管环境
技术景观
启动场景
波特的分析
PESTEL分析
未来市场趋势
差距分析

第 4 章：竞争格局

介绍
公司矩阵分析
主要参与者的竞争分析
竞争定位矩阵
战略仪表板

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
软体
服务
硬体

第 6 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
放射科
肿瘤学
心臟病学
神经病学
病理
传染病
其他应用

第 7 章：市场估计与预测：按最终用途，2021 - 2032 年

主要趋势
医院和诊所
诊断实验室
影像中心
其他最终用户

第 8 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 德国
- 英国
- 法国
- 西班牙
- 义大利
- 荷兰
- 欧洲其他地区
亚太地区
- 中国
- 日本
- 印度
- 澳洲
- 韩国
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
中东和非洲
- 南非
- 沙乌地阿拉伯
- 阿联酋
- 中东和非洲其他地区

第 9 章：公司简介

Aidoc
AliveCor Inc.
Digital Diagnostics, Inc.
Enlitic
IBM Corporation
Imagen Technologies
NVIDIA Corporation
PathAI
RADLogics
Riverain Technologies
Siemens Healthineers
Sophia Genetics
Tempus
Vuno, Inc.
Zebra Medical Vision, Inc.

简介目录

Product Code: 11036

The Global Artificial Intelligence in Diagnostics Market was valued at USD 1.1 billion in 2023. Projections indicate a robust growth trajectory, with an expected CAGR of 22.2% from 2024 to 2032, due to the rising prevalence of chronic diseases and the growing demand for AI tools in disease diagnosis.

As chronic diseases become more prevalent, healthcare providers increasingly turn to AI solutions. These tools enhance early detection, ensure precise diagnoses, and facilitate tailored treatment strategies for conditions like diabetes and cancer. Factors such as an aging population, sedentary lifestyles, and poor dietary habits have fueled the rise in chronic conditions. This has led to a significant increase in the target population and heightened healthcare demand. The World Health Organization (WHO) reported in 2023 that chronic diseases are responsible for 71% of global deaths, with cardiovascular diseases alone accounting for 17.9 million fatalities annually.

The demand for AI tools is further propelling the growth of the AI in diagnostics market. Healthcare facilities prioritize enhanced diagnostic precision, operational efficiency, and improved patient outcomes. This demand stems from the growing complexity of medical data, the need for faster and more reliable diagnostic processes, and an intensified focus on personalized medicine. Moreover, swift advancements in AI technologies and the widespread adoption of digital healthcare platforms are hastening the integration of AI tools across various diagnostic applications.

The overall AI in diagnostic industry is segmented based on component, application, end-use, and region.

In 2023, the radiology segment led the market with a revenue share of 28.4%. Radiology, which encompasses the analysis of vast amounts of medical images like X-rays, CT scans, MRIs, and ultrasounds, has found a prime ally in AI tools. These tools excel in handling and interpreting medical images, significantly boosting diagnostic efficiency. Radiology was among the first medical domains to embrace AI, especially in image recognition and interpretation. This early adoption has resulted in mature and refined AI tools, now widely trusted across healthcare facilities, driving the segment's growth.

The hospitals and clinics segment is projected to reach USD 3.3 billion by 2032. Given their vast and diverse patient base, hospitals and clinics require a broad spectrum of diagnostic services. AI-powered diagnostic tools play a pivotal role in managing the high volume of procedures, from imaging to lab tests, ensuring swift and accurate results. Being at the forefront of adopting advanced medical technologies, hospitals and clinics leverage their resources and infrastructure to seamlessly integrate AI systems across departments, enhancing diagnostic capabilities and elevating patient care.

In 2023, North America AI in diagnostics industry accounted for USD 451.6 million, with projections indicating a CAGR of 21.2% from 2024 to 2032. The U.S. stands out as a leader in embracing state-of-the-art healthcare technologies. Healthcare providers in the region are eager to adopt AI-driven diagnostic tools, aiming to boost accuracy, minimize errors, and enhance patient outcomes. This trend is bolstered by a robust emphasis on technological innovation and a solid healthcare infrastructure. Furthermore, with a high prevalence of chronic diseases like cardiovascular issues, diabetes, and cancer, the region recognizes the pivotal role of AI-based diagnostics in early detection and management, further fueling the demand for AI solutions in healthcare.

Chapter 1 Methodology and Scope

1.1 Market scope and definitions
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates and calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Rising prevalence of chronic diseases
  - 3.2.1.2 Increasing demand for AI tools
  - 3.2.1.3 Technological advancements
  - 3.2.1.4 Favorable government initiatives and funding
- 3.2.2 Industry pitfalls and challenges
  - 3.2.2.1 High procurement and maintenance costs
  - 3.2.2.2 Data privacy and security concerns
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Technology landscape
3.6 Start-up scenario
3.7 Porter's analysis
3.8 PESTEL analysis
3.9 Future market trends
3.10 Gap analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive analysis of major key players
4.4 Competitive positioning matrix
4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($ Mn)

5.1 Key trends
5.2 Software
5.3 Services
5.4 Hardware

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

6.1 Key trends
6.2 Radiology
6.3 Oncology
6.4 Cardiology
6.5 Neurology
6.6 Pathology
6.7 Infectious diseases
6.8 Other applications

Chapter 7 Market Estimates and Forecast, By End-Use, 2021 - 2032 ($ Mn)

7.1 Key trends
7.2 Hospitals and clinics
7.3 Diagnostic laboratories
7.4 Imaging centers
7.5 Other end-users

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 Germany
- 8.3.2 UK
- 8.3.3 France
- 8.3.4 Spain
- 8.3.5 Italy
- 8.3.6 Netherlands
- 8.3.7 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 Japan
- 8.4.3 India
- 8.4.4 Australia
- 8.4.5 South Korea
- 8.4.6 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
8.6 Middle East and Africa
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Rest of Middle East and Africa