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시장보고서
상품코드
1663831
헬스케어 분야 인공지능 시장 규모, 점유율, 성장 분석 : 구성요소별, 전개 모델별, 기술별, 기능별, 최종사용자별, 지역별 - 산업 예측(2025-2032년)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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헬스케어 분야 인공지능(AI) 세계 시장 규모는 2023년 119억 3,000만 달러로 평가되며, 2024년 181억 8,000만 달러에서 2032년 5,290억 6,000만 달러로 예측 기간(2025-2032년) 동안 52.4%의 CAGR로 성장할 것으로 예상됩니다.
헬스케어 AI 시장은 비용 절감에 대한 시급한 요구와 빅데이터 활용 확대에 힘입어 강력한 성장세를 보이고 있습니다. 2021년 1월 조사에 따르면 전 세계 병원의 60% 이상이 IoT 기술을 도입하고 있으며, AI는 2026년까지 미국 의료 시스템에 연간 최대 1,500억 달러의 비용을 절감할 것으로 예상됩니다. 또한 병원은 2021년까지 AI 기술에 연간 66억 달러를 투자할 것으로 예상됩니다. 이러한 AI에 대한 관심은 의료비 절감뿐만 아니라 기술 통합에 대한 수요 증가를 촉진하고 있습니다. 헬스케어 분야에서의 빅데이터 시스템 도입 증가는 이러한 추세를 더욱 촉진하고 있으며, AI는 향후 산업 발전에 있어 매우 중요한 요소로 작용할 것으로 보입니다.
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.