首頁 > 市場調查報告書 > 醫療設備

體外診斷人工智能診斷用人工智能

市場調查報告書

商品編碼

1573707

診斷市場中的人工智慧、機會、成長動力、產業趨勢分析與預測，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個工作天內

價格

簡介目錄

2023 年，全球人工智慧診斷市場估值為11 億美元。預計為22.2%在疾病診斷。

隨著慢性病變得越來越普遍，醫療保健提供者擴大轉向人工智慧解決方案。這些工具增強了早期檢測，確保精確診斷，並促進針對糖尿病和癌症等疾病的客製化治療策略。人口老化、久坐的生活方式和不良飲食習慣等因素加劇了慢性病的增加。這導致目標族群顯著增加，醫療保健需求增加。世界衛生組織 (WHO) 2023 年報告稱，慢性病導致全球死亡人數的 71%，其中每年僅心血管疾病就造成 1790 萬人死亡。

對人工智慧工具的需求進一步推動了人工智慧在診斷市場的成長。醫療機構優先考慮提高診斷精度、營運效率和改善患者治療結果。這項需求源自於日益複雜的醫療資料、對更快、更可靠的診斷流程的需求，以及對個人化醫療的日益關注。此外，人工智慧技術的快速進步和數位醫療平台的廣泛採用正在加速人工智慧工具在各種診斷應用中的整合。

診斷行業的整體人工智慧根據組件、應用、最終用途和區域進行細分。

2023年，放射科領域以28.4%的營收佔有率引領市場。放射學包括對 X 光、CT 掃描、MRI 和超音波等大量醫學影像的分析，它在人工智慧工具中找到了主要盟友。這些工具擅長處理和解釋醫學影像，顯著提高診斷效率。放射學是最早採用人工智慧的醫學領域之一，特別是在影像辨識和解釋方面。這種早期採用帶來了成熟和完善的人工智慧工具，現在已在醫療機構中廣泛信任，推動了該領域的成長。

到 2032 年，醫院和診所領域預計將達到 33 億美元。人工智慧驅動的診斷工具在管理從成像到實驗室測試的大量程序方面發揮關鍵作用，確保快速、準確的結果。作為採用先進醫療技術的前沿，醫院和診所利用其資源和基礎設施無縫整合跨部門的人工智慧系統，增強診斷能力並提升病患照護水準。

2023年，北美人工智慧診斷產業產值達4.516億美元，預計2024年至2032年複合年成長率為21.2%。該地區的醫療保健提供者渴望採用人工智慧驅動的診斷工具，旨在提高準確性、最大限度地減少錯誤並改善患者的治療效果。對技術創新和堅實的醫療基礎設施的大力重視推動了這一趨勢。此外，由於心血管問題、糖尿病和癌症等慢性病的發生率很高，該地區認知到基於人工智慧的診斷在早期檢測和管理中的關鍵作用，進一步推動了醫療保健領域對人工智慧解決方案的需求。

產業生態系統分析
產業影響力
- 成長動力
  - 慢性病盛行率上升
  - 對人工智慧工具的需求不斷增加
  - 技術進步
  - 有利的政府措施和資金
- 產業陷阱與挑戰
  - 採購和維護成本高
  - 資料隱私和安全問題
成長潛力分析
監管環境
技術景觀
啟動場景
波特的分析
PESTEL分析
未來市場趨勢
差距分析

第 4 章：競爭格局

介紹
公司矩陣分析
主要參與者的競爭分析
競爭定位矩陣
戰略儀表板

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
軟體
服務
硬體

第 6 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
放射科
腫瘤學
心臟病學
神經病學
病理
傳染病
其他應用

第 7 章：市場估計與預測：按最終用途，2021 - 2032 年

主要趨勢
醫院和診所
診斷實驗室
影像中心
其他最終用戶

第 8 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 西班牙
- 義大利
- 荷蘭
- 歐洲其他地區
亞太地區
- 中國
- 日本
- 印度
- 澳洲
- 韓國
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
中東和非洲
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 中東和非洲其他地區

第 9 章：公司簡介

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.

簡介目錄

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