診断における人工知能の市場規模：製品タイプ別、用途別、適応疾患別、地域範囲別および予測

診断における人工知能（AI）の市場規模と予測

診断における人工知能（AI）市場規模は、2024年に12億6,000万米ドルと評価され、2026年から2032年にかけて33.7%のCAGRで成長し、2032年には106億8,000万米ドルに達すると予測されます。

診断における人工知能（AI）とは、複雑なアルゴリズムと機械学習技術を使用して、写真、患者の病歴、検査所見などの医療データを評価し、医療専門家がより正確かつ効率的に病気を診断できるようにすることです。AIシステムは、X線、MRI、患者記録を含む様々なソースからの膨大な量のデータを処理し、より高い予測精度と診断ミスの減少をもたらします。

診断におけるAIの応用には、医療画像の解釈の改善、疑わしい疾患を特定するためのAIを活用した症状チェッカーの作成、白血病などの疾患の血液サンプル処理の自動化などがあります。

診断における人工知能（AI）市場はCAGR 33.7%で成長し、2032年末までに106億8,000万米ドルに達すると推定される

診断における人工知能（AI）の世界市場力学

診断における人工知能市場を形成している主な市場力学は以下の通り：

主な市場促進要因

慢性疾患の有病率の増加：慢性疾患の有病率の増加により、より効率的で正確な診断方法が必要とされており、AIはこれを提供します。世界保健機関（WHO）によると、慢性疾患は全世界の死因の71%を占めています。特に心血管疾患は、慢性疾患による死亡の大部分（年間1,790万人）を占めています。これが診断におけるAIアプリケーション市場を牽引しています。

ヘルスケアにおけるAIの採用拡大：ヘルスケアプロバイダーは、診断精度と効率を向上させるAIの可能性に急速に気付いています。MIT Technology Review Insightsが実施した調査によると、ヘルスケアリーダーの78%は、AI/ML（機械学習）の取り組みが放射線学、心臓病学、病理学などの分野ですでに価値を高めていると考えています。

ヘルスケアコストの上昇と費用対効果の高いソリューションの必要性。診断におけるAIは、効率性と正確性を高めることでヘルスケア費用の削減に貢献します。メディケア・メディケイド・サービスセンター（CMS）は、米国のヘルスケア支出は2019年から2028年にかけて年平均5.4%増加し、2028年には6兆2,000億米ドルに達すると予測しています。AIを活用した診断は、こうした高騰する支出の削減を支援します。

主な課題

導入コストの高さ：導入コストが高いことが、診断市場における人工知能（AI）導入の主な障壁となっています。AI技術をヘルスケアシステムに組み込むには、ハードウェア、ソフトウェア、トレーニングに多額の資金を投資する必要があります。多くのヘルスケア施設、特に小規模の施設では、こうした初期の支出を賄うのに苦労しており、普及を妨げ、市場の成長可能性を制限しています。

データのプライバシーとセキュリティへの懸念。データのプライバシーとセキュリティへの懸念は、AI診断市場にとって大きな課題です。AIシステムの使用は、機密性の高い患者データの収集と分析を必要とし、米国のHIPAAや欧州のGDPRなどのデータ保護規則の遵守に関する問題を提起しています。個人健康情報の漏洩や誤用は、法的結果を招くだけでなく、患者とヘルスケア提供者の信頼関係を損なう。このような懸念は、利害関係者が患者データの保護を優先するため、診断におけるAI技術の採用を遅らせています。

主要動向：

AIを搭載した画像ソリューションの採用の増加。診断におけるAI市場では、特に放射線学と病理学において、AIを搭載した画像処理システムの利用が増加しています。AIアルゴリズムは医療画像をより迅速に評価し、軽微な異常を検出し、臨床上の意思決定を支援する定量的データを提供します。この動向の背景には、診断精度を向上させながら放射線科医の労力を削減したいという願望があります。

病気の早期発見の重視：AIは、医療用画像、検査結果、電子カルテなどの患者データからパターンを見つけ出すことで、より早期の疾患特定を可能にします。AIを活用した症状チェッカーや予測モデルは、潜在的な健康問題を早期段階で検出し、より迅速な介入と患者の転帰改善を可能にします。ヘルスケアシステムが予防医療と集団健康管理に重点を置く中、この実践は支持を集めています。

コラボレーションとパートナーシップの増加。診断におけるAI市場は、ヘルスケアプロバイダー、AIソリューションプロバイダー、研究機関の間で連携やパートナーシップが増加していることが特徴です。これらの連携は、AIアルゴリズムの構築とテスト、膨大なトレーニングデータセットの生成、ヘルスケア手順へのAI技術の組み込みを目的としています。データ・プライバシーの問題や規制上の障壁などの障害を克服するためには、コラボレーションが不可欠です。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主な調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 診断における人工知能（AI）市場：コンポーネント別

• ハードウェア
• ソフトウェア

第5章 診断における人工知能（AI）市場：診断別

• 腫瘍学
• 放射線学
• 病理学
• 心臓病学
• 胸部および肺
• 神経学
• その他

第6章 地域分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第7章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第8章 競合情勢

• 主要企業
• 市場シェア分析

第9章 企業プロファイル

• 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 市場の展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第11章 市場展望付録

• 略語リスト
• 出典と参考文献

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