진단용 AI 시장 규모는 2024년에 12억 6,000만 달러로 평가되었고, 2026년부터 2032년에 걸쳐 33.7%의 연평균 복합 성장률(CAGR)로 성장하며, 2032년에는 106억 8,000만 달러에 달할 것으로 예측됩니다.
진단용 AI은 복잡한 알고리즘과 머신러닝 기술을 사용하여 사진, 환자의 병력, 검사 소견 등의 의료 데이터를 평가하고 의료 전문가가 보다 정확하고 효율적으로 질병을 진단할 수 있도록 하는 것입니다.
진단용 AI의 응용에는 의료 화상의 해석의 개선, 의심스러운 질환을 특정하기 위한 AI를 활용한 증상 검사기의 작성, 백혈병 등의 질환의 혈액 샘플 처리의 자동화 등이 있습니다.
진단용 AI 시장은 CAGR 33.7%로 성장하며, 2032년 말까지 106억 8,000만 달러에 달할 것으로 추정됩니다.
진단용 AI 시장을 형성하는 주요 시장 역학은 다음과 같습니다.
만성 질환의 유병률 증가 : 만성 질환의 유병률이 증가함에 따라보다 효율적이고 정확한 진단 방법이 필요합니다. AI는 이것을 제공합니다. 세계보건기구(WHO)에 따르면 만성 질환은 전 세계 사망자의 71%를 차지합니다. 특히 심혈관 질환은 만성 질환에 의한 사망의 대부분(연간 1,790만명)을 차지하고 있습니다.
헬스케어에서 AI 채택 확대 : 의료 제공자는 진단 정확도와 효율성을 향상시키는 AI의 잠재력을 빠르게 인식하고 있습니다. MIT Technology Review Insights가 실시한 조사에 따르면 건강 관리 리더의 78%는 AI/ML(머신러닝)의 노력이 방사선학, 심장병학, 병리학 등의 분야에서 이미 가치를 높이고 있다고 생각합니다.
건강 관리 비용 상승과 비용 효율적인 솔루션의 필요성 : 진단용 AI는 효율성과 정확성을 향상시켜 건강 관리 비용을 줄이는 데 기여합니다. 메디케어 메디케이드 서비스 센터(CMS)는 2019년부터 2028년까지 미국의 건강 관리 지출이 연평균 5.4% 증가했으며, 2028년에는 6조 2,000억 달러에 달할 것으로 예측했습니다. AI를 활용한 진단은 이러한 급등하는 지출의 삭감을 지원합니다.
주요 과제
높은 도입 비용 : 도입 비용이 높은 것은 진단용 AI 도입의 주요 장벽입니다. AI 기술을 헬스케어 시스템에 통합하려면 하드웨어, 소프트웨어 및 교육에 상당한 자금을 투자해야 합니다. 많은 의료시설, 특히 소규모 시설에서는 이러한 초기 지출을 조달하는 데 어려움을 겪고 있으며, 보급을 방해하고 시장 성장 가능성을 제한하고 있습니다.
데이터의 프라이버시와 보안에 대한 우려 : 데이터의 프라이버시와 보안에 대한 우려는 AI 진단 시장에 큰 도전입니다. AI 시스템의 사용은 기밀성이 높은 환자 데이터의 수집과 분석을 필요로 하며 미국의 HIPAA와 유럽의 GDPR(EU 개인정보보호규정)과 같은 데이터 보호 규정 준수에 관한 문제를 제기하고 있습니다. 개인 건강 정보의 유출과 오용은 법적 결과를 초래할 뿐만 아니라 환자와 건강 관리 제공업체의 신뢰 관계를 손상시킵니다. 이러한 우려는 이해관계자가 환자 데이터 보호를 선호하기 때문에 진단용 AI 기술의 채택을 늦추고 있습니다.
주요 동향 :
AI를 탑재한 이미지 솔루션의 채용 증가 : 진단용 AI 시장에서는 특히 방사선학과 병리학에 있어서, AI를 탑재한 화상 처리 시스템의 이용이 증가하고 있습니다.
질병의 조기 발견의 중요성 : AI는 의료 영상, 검사 결과, 전자 의료 기록 등 환자 데이터에서 패턴을 찾아, 조기 질병 식별을 가능하게 합니다. 이 모델은 잠재적인 건강 문제를 조기 단계에서 감지하여 보다 신속한 개입과 환자 결과 개선을 가능하게합니다.
협업과 파트너십 증가 : 진단용 AI 시장은 건강 관리 제공업체, AI 솔루션 공급자, 연구 기관 간의 협력과 파트너십이 증가하고 있는 것이 특징입니다. 리듬 구축 및 테스트, 방대한 교육 데이터세트 생성, 헬스케어 절차에 AI 기술을 통합하는 것을 목표로 하고 있습니다.
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
The key market dynamics that are shaping artificial intelligence in diagnostics market include:
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.
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.
The Artificial Intelligence (AI) In Diagnostics Market is segmented based on Component, Diagnosis, and Geography.
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.
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.
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.
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.