Global Healthcare Generative AI Market – Industry Trends and Forecast to 2031

Global Healthcare Generative AI Market, By Offering (Hardware, Software, and Services), Technology (Machine Learning and Natural Language Processing), Application (Patient Data & Risk Analysis, Medical Imaging & Diagnostics, Precision Medicine, Drug Discovery, Lifestyle Management & Remote Patient Monitoring, Virtual Assistants, Wearables, In-Patient Care & Hospital Management, Research, Emergency Room & Surgery, Mental Health, Healthcare Assistance, and Robots and Cybersecurity), End User (Hospitals, Healthcare Payers, Pharmaceuticals and Biotechnological Companies, Patients, and Others) – Industry Trends and Forecast to 2031.

Healthcare Generative AI Market Analysis and Size

In disease diagnosis, applications of generative AI in the healthcare industry utilize advanced algorithms to analyze diverse patient data, including medical imaging scans, genetic information, and clinical records. These AI systems recognize complex patterns and correlations within the data, assisting healthcare professionals in accurately identifying and diagnosing various diseases and medical conditions. With the ability to rapidly process large volumes of data, generative AI facilitates earlier disease detection and timely interventions. Furthermore, these algorithms continually learn and improve from new data inputs, enhancing diagnostic accuracy over time. Ultimately, the application of generative AI in disease diagnosis aims to improve patient outcomes by enabling earlier and more precise diagnoses.

The global healthcare generative AI market size was valued at USD 3.21 billion in 2023 and is projected to reach USD 21.59 billion by 2031, with a CAGR of 26.9% during the forecast period of 2024 to 2031.

In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.

Report Scope and Market Segmentation       

Market Definition

Healthcare generative AI refers to the application of artificial intelligence (AI) techniques, specifically generative models, in the healthcare sector. These AI systems utilize patient-specific data to generate real-time insights, predictive analytics, and personalized recommendations. By analyzing diverse healthcare data sources, such as electronic health records and medical imaging scans, generative AI aids in clinical decision-making, disease diagnosis, outcome prediction, and treatment selection, ultimately aiming to improve patient care outcomes and streamline healthcare delivery processes.

Healthcare Generative AI Market Dynamics

Drivers                                                                                          

• Growing Clinical Decision Support Systems

Generative AI presents an innovative approach in healthcare, promising to transform clinical decision-making. By harnessing real-time insights, predictive analytics, and personalized recommendations from patient-specific data, healthcare providers can leverage generative AI to enhance their practices. Clinical decision support systems powered by generative AI algorithms offer invaluable assistance in diagnosing diseases, predicting patient outcomes, and identifying optimal treatment options. These systems analyze diverse data sources such as electronic health records and medical imaging scans, generating actionable insights for evidence-based decision-making at the point of care. Integrating the use of generative AI in healthcare workflows holds the potential to significantly improve patient outcomes, streamline care delivery, and reduce healthcare costs.

• Drug Discovery and Development

Generative AI algorithms hold transformative potential in the realm of drug discovery and development. They expedite the identification of new drug candidates, refine molecular structures, and forecast efficacy and safety profiles. These algorithms utilize extensive datasets encompassing genomic information, protein configurations, and chemical attributes to craft novel molecular structures and anticipate their interactions with biological targets. Pharmaceutical firms can harness generative AI to streamline the drug discovery process, mitigating both time and cost barriers associated with bringing novel drugs to market. Ultimately, this approach promises to yield more precise and impactful therapies for patients.

For instance, in January 2023, Google collaborated with Bayer AG to enhance drug delivery efforts, aligning with the potential of generative AI in drug discovery. Leveraging solutions such as Google Cloud’s Vertex AI and Med-PaLM 2, Bayer aims to expedite the drug development process by tapping into advanced algorithms capable of optimizing molecular structures and predicting efficacy and safety profiles. This collaboration underscores the growing trend of utilizing AI-driven approaches to revolutionize pharmaceutical research and accelerate the delivery of innovative therapies to patients.

Opportunities

• Rapid Evolution of Artificial Intelligence (AI) and Machine Learning (ML)

The rapid evolution of artificial intelligence (AI) and machine learning (ML) technologies has significantly bolstered the capabilities of generative AI algorithms within the healthcare sector. These algorithms, employed by generative AI healthcare companies, possess the ability to analyze vast amounts of healthcare data, including medical images, patient records, genomic data, and more, to generate valuable insights, predictions, and innovative solutions. With ongoing advancements in AI and ML techniques, healthcare organizations are increasingly leveraging generative AI to improve patient outcomes, optimize clinical workflows, and pioneer novel treatments and therapies.

• Increasing Demand for Personalized Medicine

There's a rising focus on personalized medicine and precision healthcare, where treatments are customized to individual patients based on various factors such as genetics, medical background, and lifestyle. Generative AI is pivotal in this shift, as it can analyze intricate biological data and create tailored treatment strategies, drug suggestions, and predictive models. With healthcare providers and pharmaceutical firms aiming for more precise therapies, the demand for generative AI is set to surge. This approach promises to revolutionize healthcare by delivering treatments that are more effective and targeted to individual needs.

Restraints/Challenges

• High Maintenance Costs

Implementing and sustaining AI systems demand substantial financial investment, encompassing expenses for infrastructure, personnel training, and ongoing updates. These costs can be prohibitive for many healthcare organizations, particularly those with limited budgets or resources. Additionally, the need for specialized expertise to manage and optimize AI algorithms further escalates operational expenses. Consequently, the financial burden associated with maintaining generative AI solutions acts as a barrier to their widespread adoption and utilization in healthcare settings.

• Growing Complexity of AI Algorithms

Implementing and managing AI systems in healthcare settings requires specialized expertise and resources, which many organizations may lack. Integrating generative AI into existing workflows and infrastructure can be intricate and time-consuming. The complex nature of AI algorithms and their interpretation also presents challenges in ensuring reliability and accuracy, particularly in critical decision-making scenarios. The dynamic and evolving nature of medical data and practices demands continuous updates and refinements to AI models, adding further layers of complexity to their deployment and maintenance within the healthcare sector.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Recent Development

• In October 2023, Microsoft launched new data and AI solutions at the HLTH 2023 conference, targeting the healthcare sector. Through Microsoft Cloud, they aimed to empower healthcare organizations by offering industry-specific data solutions within Microsoft Fabric. These solutions promised to unify analytics, simplify data integration, and ensure secure access to insights, ultimately enhancing both patient and clinician experiences
• In November 2023, Koninklijke Philips N.V. collaborated with Vestre Viken Health Trust in Norway, deploying its AI Manager platform to revolutionize radiology workflows. The implementation of an AI-enabled bone fracture application streamlined diagnostic processes, enabling radiologists to focus more on complex cases. This ambitious initiative spanned across 30 hospitals, serving approximately 3.8 million people, and marked Philips' largest AI deployment in Europe. The endeavor aimed to improve patient care and expedite diagnostic procedures significantly

Healthcare Generative AI Market Scope

The market is segmented on the basis of offerings, technology, application, and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offerings

• Hardware
  • Processor
    • MPU
    • GPU
    • FPGA
    • ASIC
  • Memory
  • Network
    • Adapter
    • Switch
    • Interconnect
• Software
  • AI Platform
    • Application Program Interface (API)
    • Machine Learning Framework
  • AI Solutions
    • On Premise
    • Cloud-Based
• Services
  • Deployment and Integration
  • Support & Maintenance

Technology

• Machine Learning
  • Deep Learning
  • Supervised
  • Unsupervised
  • Reinforcement Learning
  • Others
• Natural Language Processing
  • IVR
  • OCR
  • Pattern and Image Recognition
  • Auto Coding
  • Classification and Categorization
  • Text Analytics
  • Speech Analytics
• Context-Aware Computing
  • Device Context
  • User Context
  • Physical Context
• Computer Vision

Application

• Patient Data & Risk Analysis
• Medical Imaging & Diagnostics
• Precision Medicine
• Drug Discovery
• Lifestyle Management & Remote Patient Monitoring
• Virtual Assistants
• Wearables
• In-Patient Care & Hospital Management
• Research
• Emergency Room & Surgery
• Mental Health
• Healthcare Assistance Robots
• Cybersecurity

End User

• Hospitals
• Healthcare Payers
• Pharmaceuticals and Biotechnological Companies
• Patients
• Others

Artificial Saliva Market Regional Analysis/Insights

The market is analysed and market size insights and trends are provided by country, offerings, technology, application, and end user as referenced above.

The countries covered in the market report are U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, U.A.E., Egypt, Israel, and Rest of Middle East and Africa.

North America is expected to dominate the market because the region boasts a robust network of healthcare facilities, providing a strong foundation for technological adoption. Major industry players are well-established in North America, contributing to a competitive landscape and driving innovation. In addition, the region's exceptional healthcare infrastructure facilitates the integration of advanced solutions. Lastly, the prevalence of cancer within the region's large population further fuels demand for cutting-edge healthcare technologies and treatments, solidifying North America's dominance in the market.

Asia-Pacific is expected to substantial growth due to government initiatives promoting healthcare, coupled with heightened health awareness among the populace, which are driving demand. The region's large cancer population and rising need for advanced medical technologies for diagnosis and treatment further contribute to this growth trajectory. Additionally, the increasing demand for quality healthcare services underscores the region's potential for significant expansion in the healthcare sector.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Healthcare Infrastructure Growth Installed Base and New Technology Penetration

The market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment, installed base of different kind of products for market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the market. The data is available for historic period 2016-2021.

Competitive Landscape and Healthcare Generative AI Market Analysis

The market competitive landscape provides details by competitors. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width, and breadth, application dominance. The above data points provided are only related to the companies' focus related to the market.

Some of the major players operating in the market are:

• Koninklijke Philips N.V. (Netherlands)
• Microsoft (U.S.)
• Siemens Healthineers AG (Germany)
• Intel Corporation (U.S.)
• NVIDIA Corporation (U.S.)
• Google Inc. (U.S.)
• GE HealthCare Technologies Inc. (U.S.)
• Medtronic (Ireland)
• Micron Technology, Inc (U.S.)
• Amazon.com Inc (U.S.)
• Oracle (U.S.)
• Johnson & Johnson Services, Inc. (U.S.)
• Merative (U.S.)
• General Vision, Inc. (U.S.)
• CloudMedx (U.S.)
• Oncora Medical (U.S.)
• Enlitic (U.S.)
• Lunit Inc., (South Korea)
• Qure.ai (India)
• Tempus (U.S.)
• COTA (U.S.)
• FDNA INC. (U.S.)
• Recursion (U.S.)
• Atomwise (U.S.)
• Virgin Pulse (U.S.)
• Babylon Health (U.K.)
• MDLIVE (U.S.)
• Stryker (U.S.)
• Qventus (U.S.)
• Sweetch (Israel)
• Sirona Medical, Inc. (U.S.)
• Ginger (U.S.)
• Biobeat (Israel)