诊断人工智慧市场规模（按产品类型、应用、适应症、区域范围和预测）

诊断领域人工智慧（AI）的市场规模与预测

2024 年诊断市场中的人工智慧 (AI) 规模价值为 12.6 亿美元，预计到 2032 年将达到 106.8 亿美元，2026 年至 2032 年的复合年增长率为 33.7%。

诊断中的人工智慧 (AI) 是指利用复杂的演算法和机器学习技术来评估照片、病历和实验室观察等医疗数据，以帮助医疗专业人员更准确、更有效率地诊断疾病。人工智慧系统能够处理来自各种来源的大量数据，包括 X 光片、核磁共振成像 (MRI) 和病历，从而提高预测准确性并减少诊断错误。

人工智慧在诊断中的应用包括改善医学影像的解释、建立人工智慧症状检查器以识别疑似疾病以及自动处理白血病等疾病的血液样本。

到 2032 年底，诊断市场中的人工智慧 (AI) 预计将达到 106.8 亿美元，复合年增长率为 33.7%

诊断领域人工智慧（AI）的全球市场动态

影响诊断市场人工智慧的关键市场动态是：

关键市场驱动因素

慢性病盛行率不断上升：慢性病盛行率不断上升，需要更有效率、更精准的诊断方法，而人工智慧恰好能够满足这项需求。世界卫生组织 (WHO) 的数据显示，慢性病占全球死亡人数的 71%。心血管疾病尤其占慢性病死亡人数的大多数（每年 1,790 万人）。这推动了诊断领域人工智慧应用市场的发展。

人工智慧在医疗保健领域的应用日益广泛：医疗保健提供者正在迅速意识到人工智慧在提高诊断准确性和效率方面的潜力。根据《麻省理工科技评论洞察》的一项调查，78% 的医疗保健领导者认为，人工智慧/机器学习 (AI/ML) 技术已经在放射学、心臟病学和病理学等领域发挥了增值作用。

医疗成本不断上涨，对经济高效的解决方案的需求日益增长。人工智慧诊断技术能够提高效率和准确性，进而降低医疗成本。美国医疗保险和医疗补助服务中心 (CMS) 预测，从 2019 年到 2028 年，美国的医疗支出年均成长率将达到 5.4%，到 2028 年将达到 6.2 兆美元。人工智慧诊断技术可以帮助降低这些飞涨的医疗费用。

主要挑战

实施成本高：实施成本高是人工智慧 (AI) 在诊断市场应用的主要障碍。将 AI 技术融入医疗保健系统需要在硬体、软体和培训方面进行大量投资。许多医疗机构，尤其是规模较小的机构，难以承担这些初始投入，这阻碍了 AI 的广泛应用，并限制了市场的成长潜力。

资料隐私和安全问题。资料隐私和安全问题是人工智慧诊断市场面临的主要挑战。人工智慧系统的使用需要收集和分析敏感的病患数据，这引发了遵守资料保护法规（例如美国的《健康保险流通与责任法》（HIPAA）和欧洲的《一般资料保护规范》（GDPR））的问题。个人健康资讯的洩漏或滥用不仅会承担法律后果，还会破坏患者与医疗服务提供者之间的信任关係。由于相关人员优先考虑对患者资料的保护，这些担忧正在减缓人工智慧技术在诊断领域的应用。

主要趋势：

人工智慧成像解决方案的采用日益增多。在诊断市场中，人工智慧影像处理系统的使用日益增多，尤其是在放射学和病理学领域。人工智慧演算法能够更快地评估医学影像，检测细微异常，并提供定量数据以支援临床决策。这一趋势背后的驱动力是人们希望在提高诊断准确性的同时，减轻放射科医生的工作负担。

专注于早期疾病检测：人工智慧可以透过在医学影像、实验室结果和电子健康记录等患者数据中寻找规律，更早地识别疾病。基于人工智慧的症状检查器和预测模型可以在早期发现潜在的健康问题，从而更快地介入并改善患者预后。随着医疗保健系统越来越重视预防保健和人口健康管理，这种做法正日益受到关注。

合作与伙伴关係日益增多。人工智慧诊断市场的一个特点是医疗保健提供者、人工智慧解决方案供应商和研究机构之间的合作与伙伴关係日益增多。这些合作旨在建立和测试人工智慧演算法，产生大量训练资料集，并将人工智慧技术融入医疗保健流程。合作对于克服资料隐私问题和监管障碍等障碍至关重要。

目录

第一章 引言

• 市场定义
• 市场区隔
• 调查方法

第二章执行摘要

• 主要发现
• 市场概览
• 市集亮点

第三章市场概述

• 市场规模和成长潜力
• 市场趋势
• 市场驱动因素
• 市场限制
• 市场机会
• 波特五力分析

第四章 诊断市场中的人工智慧（AI）组件

• 硬体
• 软体

第五章 诊断市场中的人工智慧（AI）

• 肿瘤学
• 放射学
• 病理
• 心臟病学
• 胸部和肺部
• 神经病学
• 其他的

第六章区域分析

• 北美洲
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东和非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯聯合大公国

第七章市场动态

• 市场驱动因素
• 市场限制
• 市场机会
• COVID-19 市场影响

第八章 竞争态势

• 主要企业
• 市场占有率分析

第九章 公司简介

• Siemens Healthineers
• Zebra Medical Vision
• Riverain Technologies
• Vuno, Inc.
• Aidoc
• Neural Analytics
• Imagen Technologies
• Digital Diagnostics, Inc.
• GE Healthcare
• AliveCor
• Enlitic
• InformAI

第十章 市场展望与机会

• 新兴技术
• 未来市场趋势
• 投资机会

第十一章 市场展望 附录

• 简称列表
• 来源和参考文献

Artificial Intelligence (AI) In Diagnostics Market Size and Forecast

Artificial Intelligence (AI) In Diagnostics Market size was valued at USD 1.26 Billion in 2024 and is projected to reach USD 10.68 Billion by 2032, growing at a CAGR of 33.7% from 2026 to 2032.

Artificial intelligence (AI) in diagnostics is the use of complex algorithms and machine learning techniques to evaluate medical data, such as photographs, patient histories, and laboratory findings, to help healthcare professionals, diagnose diseases more precisely and efficiently. AI systems process enormous amounts of data from a variety of sources, including X-rays, MRIs, and patient records, resulting in higher prediction accuracy and fewer diagnostic errors.

AI applications in diagnostics include improving the interpretation of medical imaging, creating AI-powered symptom checkers to identify suspected disorders, and automating blood sample processing for diseases such as leukemia.

Artificial Intelligence (AI) In Diagnostics Market is estimated to grow at a CAGR 33.7% & reach USD 10.68 Bn by the end of 2032

Global Artificial Intelligence (AI) In Diagnostics Market Dynamics

The key market dynamics that are shaping artificial intelligence in diagnostics market include:

Key Market Drivers

Increasing Prevalence of Chronic Diseases: The increasing prevalence of chronic diseases needs more efficient and precise diagnostic methods, which AI supplies. According to the World Health Organization (WHO), chronic diseases account for 71% of all deaths worldwide. Cardiovascular disorders, in particular, are responsible for the majority of chronic disease mortality (17.9 million individuals per year). This drives AI applications in diagnostics market.

Growing Adoption of AI in Healthcare: Healthcare providers are rapidly realizing AI's potential to improve diagnosis accuracy and efficiency. According to a survey conducted by MIT Technology Review Insights, 78% of healthcare leaders believe that AI/ML (machine learning) initiatives are already adding value in disciplines such as radiology, cardiology, and pathology.

Rising Healthcare Costs and the Need for Cost-effective Solutions: AI in diagnostics helps lower healthcare expenses by increasing efficiency and accuracy. The Centers for Medicare & Medicaid Services (CMS) predicts that healthcare spending in the United States will increase at an average annual rate of 5.4% between 2019 and 2028, reaching $6.2 trillion by 2028. AI-powered diagnostics assist in reducing these escalating expenditures.

Key Challenges:

High Cost of Implementation: The high cost of implementation is a key barrier to the adoption of Artificial Intelligence (AI) in the diagnostics market. Integrating AI technologies into healthcare systems necessitates significant financial investments in hardware, software, and training. Many healthcare facilities, particularly smaller ones, struggle to cover these early expenditures, impeding widespread adoption and limiting the market's growth potential.

Data Privacy and Security Concerns: Data privacy and security concerns are a big challenge for the AI diagnostics market. The use of AI systems necessitates the collection and analysis of sensitive patient data, raising issues regarding compliance with data protection rules such as HIPAA in the US and GDPR in Europe. Any compromise or misuse of personal health information results in legal consequences and undermines trust between patients and healthcare providers. This feeling of concern slows down the adoption of AI technologies in diagnostics as stakeholders prioritize safeguarding patient data.

Key Trends:

Increasing Adoption of AI-Powered Imaging Solutions: The AI in diagnostics market is experiencing an increase in the use of AI-powered imaging systems, particularly in radiology and pathology. AI algorithms evaluate medical images more rapidly, detect minor anomalies, and provide quantitative data to aid clinical decision-making. This trend is motivated by the desire to reduce radiologist efforts while improving diagnostic accuracy.

Growing Emphasis on Early Disease Detection: AI enables earlier disease identification by finding patterns in patient data such as medical imaging, test results, and electronic health records. AI-powered symptom checkers and prediction models detect potential health issues at an early stage, allowing for more prompt interventions and better patient outcomes. This practice is gaining traction as healthcare systems focus on preventative care and population health management.

Increasing Collaborations and Partnerships: The AI in diagnostics market is marked by an increasing number of collaborations and partnerships among healthcare providers, AI solution providers, and research organizations. These collaborations aim to build and test AI algorithms, generate massive training datasets, and incorporate AI technology into healthcare procedures. Collaboration is essential for overcoming obstacles such as data privacy issues and regulatory barriers.

Global Artificial Intelligence (AI) In Diagnostics Market Regional Analysis

Here is a more detailed regional analysis of artificial intelligence in diagnostics market:

North America:

According to Verified Market Research, North America is estimated to dominate in artificial intelligence in diagnostics market over the forecast period. North America, especially the United States, is the leader in healthcare spending and advanced technological utilization. The Centers for Medicare and Medicaid Services (CMS) predict that healthcare spending in the United States exceeded $4.1 trillion in 2020, or $12,530 per person. This significant expenditure creates a favorable environment for AI adoption in diagnostics.

The increased prevalence of chronic diseases in North America creates a demand for better diagnostic technologies. According to the Centers for Disease Control and Prevention (CDC), 6 in 10 persons in the United States have at least one chronic disease, with 4 in 10 having two or more. This prevalence opens up a large market for AI-powered diagnostic solutions.

Furthermore, North America is home to many of the world's major AI and healthcare enterprises, as well as prestigious research universities. The National Institutes of Health (NIH) reports that it invested more than $1 billion in AI-related research initiatives in fiscal 2020. This concentration of talent and money drives innovation and market expansion in the region.

Asia Pacific:

The Asia Pacific is estimated to exhibit the highest growth in the market during the forecast period. The Asia Pacific region's elderly population is rapidly growing, resulting in increased demand for improved diagnostic equipment. According to the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), the region's elderly population (aged 65 and more) is predicted to more than double from 535 million in 2019 to around 1.3 billion by 2050. This demographic transition has created a substantial demand for AI-powered diagnostic solutions that are both efficient and accurate.

Growing healthcare investments in the region are boosting the use of modern technologies such as AI in diagnosis. The World Health Organization (WHO) estimates that health spending in the Western Pacific Region, which encompasses much of Asia, has been consistently increasing. For example, China's health expenditure as a percentage of GDP rose from 4.5% in 2000 to 5.4% in 2018, indicating a growing capacity to invest in advanced healthcare technologies.

Furthermore, the rising prevalence of chronic diseases in Asia Pacific is pushing the demand for more effective diagnostic tools. According to the World Health Organization, noncommunicable diseases (NCDs) account for 71% of all deaths worldwide, with a higher proportion occurring in low- and middle-income nations, many of which are in Asia Pacific. In Southeast Asia, NCDs are projected to cause 62% of all fatalities. This high disease burden is driving a growing demand for AI-powered diagnostic solutions that improve chronic condition identification and management.

Europe:

Europe region is estimated to exhibit substantial growth within the market during the forecast period. Europe's population is increasingly aging, necessitating the development of more effective diagnostic technologies. According to Eurostat, the proportion of adults 65 and older in the EU is expected to rise from 20.3% in 2019 to 29.4% by 2050. This demographic trend is projected to drive up demand for AI-powered diagnostic tools that better manage age-related health conditions.

Europe is making significant investments in AI research and development, particularly in healthcare. The European Commission has pledged to expand yearly AI investments to €20 billion starting in 2020. According to a European Parliament estimate, artificial intelligence might contribute up to €13.3 trillion to the global economy by 2030, with Europe accounting for approximately €2.7 trillion of that amount.

Furthermore, the European Union has taken proactive steps to create a favorable regulatory environment for artificial intelligence in healthcare. The European Medicines Agency (EMA) has formed a dedicated AI task group to investigate the application of AI in medication development and regulation. According to an EMA survey, 63% of respondents anticipate that artificial intelligence will have a substantial impact on medical research and regulation within the next 2-5 years.

Global Artificial Intelligence (AI) In Diagnostics Market: Segmentation Analysis

The Artificial Intelligence (AI) In Diagnostics Market is segmented based on Component, Diagnosis, and Geography.

Artificial Intelligence (AI) In Diagnostics Market, By Component

• Hardware
• Software
• Services

Based on Component, the market is segmented into Hardware, Services, and Software. The software segment is estimated to dominate the artificial intelligence in diagnostics market due to an increase in demand for AI-enabled diagnostic products that improve illness detection accuracy and efficiency. The software's ability to interface with existing healthcare systems and improve diagnostic workflows is fueling fast expansion. As healthcare providers face increasing patient volumes and a shortage of professionals, their reliance on modern software solutions is projected to grow considerably.

Artificial Intelligence (AI) In Diagnostics Market, By Diagnosis

• Cardiology
• Oncology
• Pathology
• Radiology
• Chest and Lung
• Neurology
• Others

Based on Diagnosis, the market is segmented into Cardiology, Oncology, Pathology, Radiology, Chest & Lung, Neurology, and Others. The neurology segment is estimated to dominate the artificial intelligence in the diagnostics market due to the rising occurrence of neurological illnesses such as Alzheimer's and Parkinson's disease, which require precise and early diagnoses. As the population ages, the demand for sophisticated diagnostic tools in neurology is predicted to increase, cementing the market's lead. Furthermore, continued advances in AI technology are improving diagnostic capacities in this market, accelerating its growth.

Artificial Intelligence (AI) In Diagnostics Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World

Based on Geography, the Artificial Intelligence in Diagnostics Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America is expected to dominate artificial intelligence in diagnostics market during the forecast period due to several factors, including the region's superior healthcare infrastructure, major investment in R&D, and the presence of leading AI technology businesses. Furthermore, the rising frequency of chronic diseases and a lack of healthcare experts, notably radiologists, are driving the demand for AI solutions that improve diagnostic accuracy and efficiency in clinical settings.

Key Players

• The "Artificial Intelligence (AI) In Diagnostics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Siemens Healthineers, Zebra Medical Vision, Riverain Technologies, Vuno, Inc., Aidoc, Neural Analytics, Imagen Technologies, Digital Diagnostics, Inc., GE Healthcare, AliveCor, Enlitic, and InformAI.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Artificial Intelligence (AI) In Diagnostics Market Recent Developments
• In May 2023, Metropolis Healthcare Limited announced the launch of a cutting-edge testing platform that uses Component Resolved Diagnostics (CRD) to identify various allergies in India. The 4th generation of allergy testing technology now includes artificial intelligence to assist clinicians in making informed judgments. It provides valuable insights on optimizing treatment for allergic diseases.
• In March 2023, Qritive launched QAi Prostate, an AI-powered prostate cancer diagnostic tool for pathologists. The tool uses cutting-edge machine learning algorithms to accurately identify prostatic adenocarcinoma regions and classify malignant and benign tumors in biopsy tissue samples.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Artificial Intelligence (AI) In Diagnostics Market, By COMPONENT

• Hardware
• Software

5. Artificial Intelligence (AI) In Diagnostics Market, By DIAGNOSIS

• Oncology
• Radiology
• Pathology
• Cardiology
• Chest and Lung
• Neurology
• Others

6. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

7. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

8. Competitive Landscape

• Key Players
• Market Share Analysis

9. Company Profiles

• Siemens Healthineers
• Zebra Medical Vision
• Riverain Technologies
• Vuno, Inc.
• Aidoc
• Neural Analytics
• Imagen Technologies
• Digital Diagnostics, Inc.
• GE Healthcare
• AliveCor
• Enlitic
• InformAI

10. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

11. Appendix

• List of Abbreviations
• Sources and References