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市場調査レポート
商品コード
1663831
ヘルスケアにおける人工知能市場規模、シェア、成長分析:コンポーネント別、展開モデル別、技術別、機能別、エンドユーザー別、地域別 - 産業予測 2025~2032年Artificial Intelligence in Healthcare Market Size, Share, Growth Analysis, By Components, By Deployment Model, By Technology, By Function, By End User, By Region - Industry Forecast 2025-2032 |
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ヘルスケアにおける人工知能市場規模、シェア、成長分析:コンポーネント別、展開モデル別、技術別、機能別、エンドユーザー別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月22日
発行: SkyQuest
ページ情報: 英文 219 Pages
納期: 3~5営業日
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ヘルスケアにおける人工知能(AI)の世界市場規模は、2023年に119億3,000万米ドルと評価され、2024年の181億8,000万米ドルから2032年には5,290億6,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは52.4%で成長する見通しです。
ヘルスケアAI市場は、コスト削減の喫緊のニーズとビッグデータ活用の拡大を背景に力強い成長を遂げています。2021年1月の調査によると、世界の病院の60%以上がIoT技術を導入しており、AIは2026年までに米国の医療システムを年間最大1,500億米ドル節約すると予測されています。さらに、病院は2021年までにAI技術に年間66億米ドルを投資すると予想されています。このようなAIの重視は、ヘルスケアコストの最小化を目指すだけでなく、技術統合に対する需要の高まりも助長しています。ヘルスケアにおけるビッグデータシステムの採用の高まりは、この動向をさらに後押ししており、AIは今後の業界の進化において極めて重要な要素となっています。
Global Artificial Intelligence (AI) in Healthcare Market size was valued at USD 11.93 billion in 2023 and is poised to grow from USD 18.18 billion in 2024 to USD 529.06 billion by 2032, growing at a CAGR of 52.4% during the forecast period (2025-2032)..
The healthcare AI market is experiencing robust growth driven by the urgent need to reduce costs and the increasing utilization of big data. A study from January 2021 indicated that over 60% of global hospitals have embraced IoT technologies, and AI is projected to save the U.S. healthcare system up to USD 150 billion annually by 2026. Moreover, hospitals were expected to invest USD 6.6 billion yearly in AI technologies by 2021. This emphasis on AI not only aims to minimize healthcare costs but also fosters a greater demand for technological integration. The rising adoption of big data systems in healthcare further supports this trend, making AI a pivotal component in the evolution of the industry moving forward.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (Ai) In Healthcare market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Artificial Intelligence (Ai) In Healthcare Market Segments Analysis
Global Artificial Intelligence (AI) in Healthcare Market is segmented by Components, Deployment Model, Technology, Function, End User and region. Based on Components, the market is segmented into Software Solutions and Services. Based on Deployment Model, the market is segmented into On-Premises Model, Cloud-Based Model and Hybrid Model. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Context-Aware Computing, Generative AI, Image Analysis, Computer Vision and Other Technologied. Based on Function, the market is segmented into Diagnosis & Early Detection, Treatment Planning & Personalization, Patient Engagement & Remote Monitoring, Post-Treatment Surveillance & Survivorship Care, Pharmacy Management, Data Management & Analytics and Administrative Functions. Based on End User, the market is segmented into Healthcare Providers, Healthcare Payers, Patients and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Artificial Intelligence (Ai) In Healthcare Market
The Artificial Intelligence (AI) in healthcare market is significantly driven by its ability to enhance diagnostic precision through the analysis of extensive medical data, such as imaging, genetic information, and patient histories. AI technologies can uncover patterns and anomalies that could easily go unnoticed by human clinicians, resulting in quicker and more accurate diagnoses. Additionally, AI supports the advancement of personalized medicine by tailoring treatment plans to the unique data of each patient, thereby optimizing outcomes and minimizing adverse effects. This remarkable capability finds exceptional application in critical fields like oncology, cardiology, and neurology, further fueling market growth.
Restraints in the Artificial Intelligence (Ai) In Healthcare Market
The integration of AI in healthcare faces notable challenges due to the substantial initial investments needed for technology, infrastructure, and workforce training. The process of developing and incorporating AI solutions into established healthcare systems is often complex and demands significant resources. This can create considerable difficulties for smaller healthcare providers, particularly those located in rural or underserved regions, who may find it hard to overcome the financial and technical obstacles associated with implementing AI technologies. Consequently, these high costs and challenges serve as a deterrent, contributing to the sluggish pace of AI adoption within the healthcare sector.
Market Trends of the Artificial Intelligence (Ai) In Healthcare Market
The increasing prevalence of chronic diseases is significantly influencing the growth of the Artificial Intelligence (AI) in Healthcare market. With projections of nearly 1.9 million new cancer cases in 2022 alone, as reported by the American Cancer Society, the urgency for advanced diagnostic and treatment solutions is more pronounced than ever. This rising incidence of chronic illnesses, including prostate, lung, and breast cancer, necessitates the adoption of AI technologies aimed at enhancing early disease detection and precision medicine. Consequently, industry players are responding with innovative product launches, driving demand for AI solutions that improve patient outcomes and streamline healthcare processes, marking a vital trend in the sector.