診斷人工智慧市場規模（按產品類型、應用、適應症、區域範圍和預測）

診斷領域人工智慧（AI）的市場規模與預測

2024 年診斷市場中的人工智慧 (AI) 規模價值為 12.6 億美元，預計到 2032 年將達到 106.8 億美元，2026 年至 2032 年的複合年成長率為 33.7%。

診斷中的人工智慧 (AI) 是指利用複雜的演算法和機器學習技術來評估照片、病歷和實驗室觀察等醫療數據，以幫助醫療專業人員更準確、更有效率地診斷疾病。人工智慧系統能夠處理來自各種來源的大量數據，包括 X 光片、核磁共振成像 (MRI) 和病歷，從而提高預測準確性並減少診斷錯誤。

人工智慧在診斷中的應用包括改善醫學影像的解釋、建立人工智慧症狀檢查器以識別疑似疾病以及自動處理白血病等疾病的血液樣本。

到 2032 年底，診斷市場中的人工智慧 (AI) 預計將達到 106.8 億美元，複合年成長率為 33.7%

診斷領域人工智慧（AI）的全球市場動態

影響診斷市場人工智慧的關鍵市場動態是：

關鍵市場促進因素

慢性病盛行率不斷上升：慢性病盛行率不斷上升，需要更有效率、更精準的診斷方法，而人工智慧恰好能夠滿足這項需求。世界衛生組織 (WHO) 的數據顯示，慢性病佔全球死亡人數的 71%。心血管疾病尤其佔慢性病死亡人數的大多數（每年 1,790 萬人）。這推動了診斷領域人工智慧應用市場的發展。

人工智慧在醫療保健領域的應用日益廣泛：醫療保健提供者正在迅速意識到人工智慧在提高診斷準確性和效率方面的潛力。根據《麻省理工科技評論洞察》的一項調查，78% 的醫療保健領導者認為，人工智慧/機器學習 (AI/ML) 技術已經在放射學、心臟病學和病理學等領域發揮了增值作用。

醫療成本不斷上漲，對經濟高效的解決方案的需求日益成長。人工智慧診斷技術能夠提高效率和準確性，進而降低醫療成本。美國醫療保險和醫療補助服務中心 (CMS) 預測，從 2019 年到 2028 年，美國的醫療支出年均成長率將達到 5.4%，到 2028 年將達到 6.2 兆美元。人工智慧診斷技術可以幫助降低這些飛漲的醫療費用。

主要挑戰

實施成本高：實施成本高是人工智慧 (AI) 在診斷市場應用的主要障礙。將 AI 技術融入醫療保健系統需要在硬體、軟體和培訓方面進行大量投資。許多醫療機構，尤其是規模較小的機構，難以承擔這些初始投入，這阻礙了 AI 的廣泛應用，並限制了市場的成長潛力。

資料隱私和安全問題。資料隱私和安全問題是人工智慧診斷市場面臨的主要挑戰。人工智慧系統的使用需要收集和分析敏感的病患數據，這引發了遵守資料保護法規（例如美國的《健康保險流通與責任法》（HIPAA）和歐洲的《一般資料保護規範》（GDPR））的問題。個人健康資訊的洩漏或濫用不僅會承擔法律後果，還會破壞患者與醫療服務提供者之間的信任關係。由於相關人員優先考慮對患者資料的保護，這些擔憂正在減緩人工智慧技術在診斷領域的應用。

主要趨勢：

人工智慧成像解決方案的採用日益增多。在診斷市場中，人工智慧影像處理系統的使用日益增多，尤其是在放射學和病理學領域。人工智慧演算法能夠更快地評估醫學影像，檢測細微異常，並提供定量數據以支援臨床決策。這一趨勢背後的驅動力是人們希望在提高診斷準確性的同時，減輕放射科醫生的工作負擔。

專注於早期疾病檢測：人工智慧可以透過在醫學影像、實驗室結果和電子健康記錄等患者數據中尋找規律，更早地識別疾病。基於人工智慧的症狀檢查器和預測模型可以在早期發現潛在的健康問題，從而更快地介入並改善患者預後。隨著醫療保健系統越來越重視預防保健和人口健康管理，這種做法正日益受到關注。

合作與夥伴關係日益增多。人工智慧診斷市場的一個特點是醫療保健提供者、人工智慧解決方案供應商和研究機構之間的合作與夥伴關係日益增多。這些合作旨在建立和測試人工智慧演算法，產生大量訓練資料集，並將人工智慧技術融入醫療保健流程。合作對於克服資料隱私問題和監管障礙等障礙至關重要。

目錄

第1章 引言

• 市場定義
• 市場區隔
• 調查方法

第2章執行摘要

• 主要發現
• 市場概覽
• 市場亮點

第3章市場概述

• 市場規模和成長潛力
• 市場趨勢
• 市場促進因素
• 市場限制
• 市場機會
• 波特五力分析

第4章 診斷市場中的人工智慧（AI）組件

• 硬體
• 軟體

第5章 診斷市場中的人工智慧（AI）

• 腫瘤學
• 放射學
• 病理
• 心臟病學
• 胸部和肺部
• 神經病學
• 其他

第6章區域分析

• 北美洲
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東和非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合大公國

第7章市場動態

• 市場促進因素
• 市場限制
• 市場機會
• COVID-19 市場影響

第8章 競爭態勢

• 主要企業
• 市場佔有率分析

第9章 公司簡介

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

第10章 市場展望與機會

• 新興技術
• 未來市場趨勢
• 投資機會

第11章 市場展望 附錄

• 簡稱列表
• 來源和參考文獻

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