Global Generative AI (GenAI) in Digital Health Market Size is valued at USD 1.6 Bn in 2024 and is predicted to reach USD 33.7 Bn by the year 2034 at a 36.5% CAGR during the forecast period for 2025-2034.
Generative AI (GenAI) is revolutionizing digital health by enhancing diagnostics, drug discovery, personalized medicine, and patient care. Key applications include improving medical imaging, generating synthetic data, supporting clinical decisions, and powering health chatbots. GenAI generates contextually relevant and realistic data using complex algorithms, enabling quicker and more intelligent medical code searches. The advantages of GenAI in digital health are numerous and include improved patient outcomes through precision medicine, faster clinical workflows, and increased accuracy in medical imaging interpretation.
Optimizing resource allocation and decision-making in healthcare systems has become possible through GenAI's rapid analysis of large datasets and ability to produce actionable insights. The growing availability of huge healthcare datasets, the expanding use of AI in healthcare, and the demand for more accurate and efficient decision-making tools are some of the drivers propelling GenAI in the digital health industry.
Furthermore, a number of healthcare applications are made possible by the quick development of deep learning models, such as GPT and NLP tools. These consist of conversational AI for patient support, automated reporting, and medical imaging analysis. The healthcare industry is adopting generative AI solutions as a result of these technological advancements. However, GenAI in the digital health market expansion is probably going to be hampered by issues with data security and privacy, legal obstacles, the high cost of developing, implementing, and maintaining generative AI systems, and moral dilemmas surrounding the application of AI in healthcare.
Competitive Landscape
Some Major Key Players In The Generative AI (GenAI) in Digital Health Market:
- Siemens Healthineers
- Philips Healthcare
- Intel Corporation
- Tempus Labs
- PathAI
- Aidoc Medical
- Zebra Medical Vision
- NVIDIA Corporation
- Microsoft Corporation
- Google (Alphabet Inc.) - Google Health
- IBM Watson Health
- Butterfly Network
- Tempus
- Other Market Players
Market Segmentation:
The Generative AI (GenAI) in Digital Health market is segmented based on deployment, technology, application, and end-user. The market is segmented by deployment into Cloud-based, On-premises, Hybrid, and Edge Computing solutions. Based on technology, it is categorized into Natural Language Processing (NLP), Machine Learning (ML), Predictive Analytics, and Deep Learning (DL). By application, the market includes Drug Discovery and Development, Virtual Health Assistants, Personalized Medicine, and Diagnostic Tools and Imaging. In terms of end-users, the market comprises Hospitals and Clinics, Research Institutes, Pharmaceutical Companies, and Diagnostic Centers.
Based On The Technology, The Machine Learning (ML) Segment Is Accounted As A Major Contributor To The Generative AI (Genai) In The Digital Health Market.
The Machine Learning (ML) category is expected to hold a major global market share in 2024 due to machine learning's adaptability in healthcare applications, which include personalized treatment and predictive analytics. In order to improve diagnosis and treatment planning, machine learning algorithms are essential for identifying patterns in complicated medical data. It is anticipated that the growing need for data-driven insights in healthcare applications will continue to encourage the adoption of machine learning.
Diagnostic Tools And Imaging Segment To Witness Growth At A Rapid Rate
Throughout the projection period, the Diagnostic Tools and Imaging category is anticipated to hold the greatest revenue share among the application categories. The need for sophisticated diagnostic tools and imaging is being driven by the rising existance of chronic illnesses worldwide. For instance, the World Heart Federation estimates that 20.5 million people died from cardiovascular disorders in 2021, affecting over 500 million people globally. As a result, Generative AI (GenAI) in Digital Health has grown to be crucial for the early identification and tracking of various illnesses, greatly boosting market expansion. Furthermore, enhancing patient outcomes requires early diagnosis, and AI models help spot possible health problems before they manifest symptoms.
In The Region, The North American Generative AI (GenAI) In The Digital Health Market Holds A Significant Revenue Share.
The North American Generative AI (GenAI) in the Digital Health market is expected to register the highest market share in revenue in the near future because of the existence of a sophisticated healthcare system and significant investments in artificial intelligence. The telemedicine, health IT, and electronic health record (EHR) industries are growing quickly, which makes it perfect for incorporating generative AI into digital health processes. The utilization of AI tools for data analysis, patient interaction, and clinical decision support is made easier by this digital environment. As a result, it is projected that the previously mentioned drivers will drive market expansion throughout the forecast period. In addition, Asia Pacific is projected to grow rapidly in the global Generative AI (GenAI) in the Digital Health market. The need for effective data analysis and decision support tools in the healthcare industry, the growing need for personalized medication, and technological improvements in healthcare are some of the common causes propelling the adoption of GenAI in digital health in the Asia Pacific.
Recent Development:
- October 2024: Google Cloud and Citi established a strategic alliance to use Vertex AI's generative AI capabilities to update Citi's infrastructure with cloud and AI technologies. Through this partnership, Google Cloud's market penetration and business growth are accelerated, its leadership in AI is reinforced, and its footprint in the financial industry is increased.
Generative AI (GenAI) in Digital Health Market Report Scope :
|
Report Attribute |
Specifications |
|
Market Size Value In 2024 |
USD 1.6 Bn |
|
Revenue Forecast In 2034 |
USD 33.7 Bn |
|
Growth Rate CAGR |
CAGR of 36.5% from 2025 to 2034 |
|
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
|
Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Deployment, Technology, Application, And End-User |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
|
Competitive Landscape |
Siemens Healthineers, Philips Healthcare, Intel Corporation, Tempus Labs, PathAI, Aidoc Medical, Zebra Medical Vision, NVIDIA Corporation, Microsoft Corporation, Google (Alphabet Inc.) - Google Health, IBM Watson Health, Butterfly Network, and Tempus. |
|
Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
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