Artificial Intelligence in Healthcare Market – By Offering, By Application, By End Use - Global Forecast, 2024 to 2032

Artificial Intelligence in Healthcare Market Size

The artificial intelligence in healthcare market was valued at USD 18.7 billion in 2023 and is expected to exhibit growth at a CAGR of 37.1% from 2024 to 2032 period. The rising adoption of healthcare artificial intelligence in research areas, increasing range of future applications, and favorable funding scenario are some of the prime variables driving the market growth.
 

The rising adoption of artificial intelligence (AI) in healthcare research is revolutionizing the sector by enhancing diagnostic accuracy, streamlining clinical workflows, and accelerating treatment development. Significant advancements have highlighted AI's growing integration in research, particularly through machine learning (ML) and large language models (LLMs). For instance, in 2023, AI applications in radiology, gastroenterology, and cardiology were predominant, with 75.2% of AI-related healthcare publications leveraging image data, demonstrating the critical role of AI in data-heavy fields like medical imaging and diagnostics.
 

Additionally, AI applications in drug discovery have gained momentum, reducing the time for identifying viable compounds by nearly 70%. Companies like DeepMind have developed a new AI model AlphaFold in May 2024, which accurately predicts protein structures, and have unlocked new possibilities in treating diseases like Alzheimer’s and cancer. The application of AI in virtual health assistants, such as Babylon Health and ADA Health, has also surged, providing patients with instant access to medical advice and symptom assessment tools, enhancing their role in healthcare.
 

AI in healthcare refers to the application of artificial intelligence techniques, such as machine learning, deep learning, natural language processing, and computer vision, to analyze complex medical data and assist healthcare professionals in making informed decisions. AI in healthcare encompasses a wide range of applications, but not limited to medical imaging analysis, support personalized treatment, helps in drug discovery and development and remote monitoring and telemedicine.
 

Artificial Intelligence in Healthcare Market Trends

Advancements in big data analytics have been pivotal in driving the adoption of artificial intelligence (AI) in healthcare, enabling more efficient, accurate, and personalized medical care.
 

• By processing and analyzing vast amounts of structured and unstructured healthcare data, AI systems enhance diagnostic accuracy, predict patient outcomes, and optimize treatment plans. For instance, AI-driven platforms utilizing big data analytics have significantly improved early disease detection, such as identifying cancer patterns through genomic data integration.
   
• In recent years the healthcare AI market has seen notable developments fueled by big data. This growth is driven by innovations such as AI-based predictive analytics used during the COVID-19 pandemic to model virus spread and allocate resources effectively. In clinical settings, big data analytics has been instrumental in real-time patient monitoring, such as using wearable devices to gather and analyze biometric data to predict critical health events.
   
• Additionally, advancements in natural language processing (NLP) have enabled AI to mine electronic health record (EHR) efficiently, unlocking insights to improve patient care. For example, healthcare providers are now leveraging big data tools to stratify populations by risk, enabling personalized interventions and reducing hospital readmissions. These breakthroughs underscore the synergistic relationship between big data and AI, with projections indicating that big data analytics will continue to shape the healthcare AI landscape through innovations in cloud computing, IoT integration, and machine learning.
   

Artificial Intelligence in Healthcare Market Analysis

Based on offering, the market is classified into software and services. The software segment is expected to drive business growth and expand at a CAGR of 36.9%, reaching over USD 252.9 billion by 2032.
 

• AI software solutions enable healthcare providers to enhance decision-making, streamline operations, and deliver personalized care. The increasing use of machine learning (ML) and natural language processing (NLP) software for applications such as medical imaging, electronic health record (EHR) analysis, and virtual assistants is a major growth driver. For example, IBM Watson Health utilizes NLP for analyzing unstructured clinical data, aiding faster and more accurate diagnosis.
   
• Another significant factor is the rise in software-as-a-service (SaaS) models, which offer scalability and cost-effectiveness. Cloud-based platforms like Google Health and Microsoft Azure AI provide seamless integration with existing healthcare systems, enabling remote access to patient data and facilitating real-time decision-making.
   
• AI-powered software is also crucial in precision medicine and drug discovery. With advancements in deep learning and the proliferation of big data, the software segment is expected to maintain its dominance, contributing significantly to the market's projected robust growth.
   

Based on application, the artificial intelligence in healthcare market is classified into medical imaging and diagnosis, drug discovery, workflow management, patient engagement solutions, cybersecurity, and other applications. The medical imaging and diagnosis segment held a dominant market share in 2023 and was valued at over USD 7.4 billion.
 

• The segment dominates the artificial intelligence (AI) in healthcare market due to its critical role in enhancing diagnostic accuracy, improving operational efficiency, and reducing the workload of radiologists. AI-powered tools excel at analyzing vast amounts of imaging data, identifying patterns, and detecting anomalies with high precision. For example, AI algorithms from companies like Zebra Medical Vision have demonstrated exceptional accuracy in detecting conditions such as brain bleeding, often outperforming traditional methods.
   
• Additionally, the growing prevalence of chronic diseases and cancer has further fueled the demand for advanced imaging solutions. The World Health Organization reported that cancer cases globally reached approximately 20 million in 2022. AI-driven imaging technologies enable early detection, significantly improving patient outcomes. Moreover, advancements in deep learning and computer vision have made these tools indispensable in modern healthcare, as they can process data quickly and provide actionable insights.
   

Based on end use, the artificial intelligence in healthcare market is segmented into healthcare providers, pharmaceutical and life sciences companies, and healthcare payors. Healthcare providers held the largest market share of 45.2% in 2023, and it is anticipated to expand at a CAGR of 36.8% over the forecast period.
 

• The segment in the market is experiencing rapid growth due to several key drivers. First, the increasing demand for personalized healthcare solutions is pushing healthcare providers to adopt AI-driven tools to deliver more accurate and tailored treatments. AI algorithms can analyze vast amounts of patient data, helping providers make data-driven decisions and improve patient outcomes. The adoption of AI also aids in automating administrative tasks such as billing, scheduling, and documentation, freeing up healthcare professionals to focus on patient care and improving overall operational efficiency.
   
• Another significant driver is the growing pressure on healthcare systems to enhance productivity while reducing costs. AI technologies such as predictive analytics, diagnostic tools, and robotic assistance in surgeries are optimizing workflows, minimizing human errors, and providing faster diagnoses, which are vital in a resource-constrained environment.
   

North America artificial intelligence in healthcare market accounted for USD 7.7 billion in market revenue in 2023 and is anticipated to grow at a CAGR of 37.7% between the 2024 – 2032 period.
 

• North America dominates artificial intelligence (AI) in the healthcare market, holding the largest market share in 2023, driven by robust technological advancements, high healthcare expenditure, and supportive regulatory frameworks. The region's well-established healthcare infrastructure and early adoption of cutting-edge technologies have catalyzed AI integration across various healthcare applications, including diagnostics, drug discovery, and hospital workflow optimization.
   
• According to the Centers for Medicare and Medicaid Services (CMS), the U.S. health care spending grew 4.1% in 2022, reaching USD 4.5 trillion or USD 13,493 per person, highlighting a conducive environment for AI investments.
   

France market is projected to grow remarkably in the coming years.
 

• France holds a significant share in the AI in healthcare market, driven by its progressive healthcare system, government support for digital innovation, and active adoption of AI technologies.
   
• Additionally, France’s robust infrastructure of public hospitals and research institutions actively integrates AI for enhanced diagnostics, treatment planning, and workflow optimization.
   
• Startups and collaborations with global tech giants are further accelerating AI deployment in areas like oncology and chronic disease management. These factors collectively position France as a leading market in Europe for AI-driven healthcare solutions.
   

Japan holds a dominant position in the Asia Pacific artificial intelligence in healthcare market.
 

• With one of the world’s highest proportions of elderly citizens, Japan faces increasing healthcare demands, which it addresses through automation and AI technologies. AI applications in Japan focus on elder care, precision medicine, and robotic surgery, with companies pioneering advancements in these areas.
   
• Japan’s global leadership in robotics and machine learning plays a crucial role in advancing AI for healthcare, particularly in diagnostic imaging and automated workflows.
   
• The country’s strong partnership between academia, industry, and healthcare providers ensures rapid development and deployment of cutting-edge AI solutions. This proactive approach makes Japan a prominent player in the AI healthcare market, particularly within the Asia-Pacific region.
   

Artificial Intelligence in Healthcare Market Share

The artificial intelligence in healthcare industry is competitive, with key players including large multinationals like International Business Machines Corporation, IQVIA, and Koninklijke Philips N.V., which lead in innovation and extensive product portfolios. Regional companies and new entrants, particularly from APAC, are intensifying competition with affordable, technology-driven solutions tailored for local markets. The market sees frequent technological advancements, such as integration of advanced machine learning models, natural language processing (NLP), and predictive analytics. Strategic partnerships, mergers, and acquisitions are also common as companies seek to expand market reach and enhance their technological capabilities.
 

Artificial Intelligence in Healthcare Market Companies

Prominent players operating in the artificial intelligence in healthcare industry include:

• AiCure
• Aidoc
• Apixio
• Dassault Systemes (Medidata)
• Enlitic
• Insilico Medicine
• International Business Machines
• IQVIA
• Itrex Group
• Koninklijke Philips N.V.
• Microsoft
• NVIDIA
• Persistent Systems
• Siemens Healthineers
• Sophia Genetics
   

Artificial Intelligence in Healthcare Industry News:

• In October 2024, Nvidia announced that it will partner with Aidoc, to develop a novel framework to promote and define AI adoption in the healthcare industry. The new framework will be entitled the Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE) and will provide guidelines which organizations can use to determine how best to integrate AI services into clinical workflows in order to ultimately improve patient outcomes.
   
• In June 2023, ReproCell, IBM, and HNCDI (Hartree National Centre for Digital Innovation) collaborated to introduce Pharmacology-AI, a groundbreaking service that leverages AI and machine learning to enhance drug discovery processes. This innovative platform aims to simplify big data analysis by identifying crucial inter-individual differences affecting drug responses. This launch is anticipated to help pharmaceutical companies in designing more successful and cost-effective clinical trials, thereby likely to benefit from new drugs early in development.
   

The artificial intelligence in healthcare market research report includes in-depth coverage of the industry with estimates and forecasts in terms of revenue in USD Million from 2021 to 2032 for the following segments:

Click here to Buy Section of this Report

Market, By Offering

• Software
• Services

Market, By Application

• Medical imaging and diagnosis
• Drug discovery
• Workflow management
• Patient engagement solutions
• Cybersecurity
• Other applications

Market, By End Use

• Healthcare providers
  • Hospitals and clinics
  • Diagnostic centers
  • Other healthcare providers
• Pharmaceutical and life sciences companies
• Healthcare payors

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Spain
  • Italy
  • Netherlands
• Asia Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
• Latin America
  • Brazil
  • Mexico
  • Argentina
• Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE