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Healthcare Predictive Analytics Market Share

ID: MRFR//6080-HCR | 160 Pages | Author: Rahul Gotadki| May 2024

The Healthcare Predictive Analytics Market represents a dynamic sector within healthcare, leveraging data-driven insights to enhance decision-making and patient outcomes. In seeking to become the leading providers in availing sophisticated early interrogation features, firms operating in this industry utilize diverse market share positioning structures.
Continuous improvement in analytics algorithms is what the business has to do to stay competitive. To provide healthcare providers with modern tools to carry out data analysis and prediction, companies invest in predictive model development as well as in designing machine learning algorithms and creating artificial intelligence appliances.
A comprehensive product portfolio of predictive applications is critical to achieve the market leading position. Companies offer predictive analytics solutions for different health care domains such as patient outcomes, underlying risk assessment as well as resource allocation and operational efficacy. This substantially larger scope guarantees applicability and relevancy in various settings of health care.
Striking solid alliances with healthcare entities is an important move. Companies work with hospitals, clinics and healthcare systems to try and make predictive analytics part of the already operating processes. Such partnerships that improve the integrity of predictive analytics as well as make their acceptance among clinicians easier.
In the realization of a vast difference in healthcare need urbanization organizations personalized their predictive analytics packages. From the perspective of population health management or personalized medicine, to supply chain optimization and so on, payers use customization that ensures analytics tools fit into different healthcare providers’ requirements, therefore encouraging a wide adoption.
Because global market expansion occurs under the circumstance of local adjustments to healthcare landscapes, companies do target provision. Understanding differences between regions in terms of healthcare practices, regulations and data privacy act help firms access international markets with successful penetrations hence become giants in engaging the global healthcare predictive analytics market industry.
To assure the acceptance of this approach, cost-efficiency is core. Organizations implement pricing models that represent the right combination of cost and value of predictive analytics solutions being provided. This promotes application of this minimization model by all kinds of human medicine institutions both large and small as well as the economically stable, a process that leads to affected market saturation
In turn, user-friendly interfaces that deal with the adoption to be effective are critical. Healthcare professional’s can access the predictive analytics tool inter-actively as it features an easy to use approach such that even those with little technical knowledge, can operate it efficiently in light of their working capacity. A complete seamless integration and farcicality with already available electronic health record systems urges a catalyst use that remains an impending benefit to any admitting facility.
However, one of the biggest challenges for this purpose is to eliminate concerns related to security and compliance. Companies implement robust security measures to protect sensitive health data, complying with healthcare regulations such as HIPAA. A strong emphasis on data security and compliance builds trust among healthcare organizations, ensuring the adoption of predictive analytics tools.

Healthcare Predictive Analytics Market Overview:


As per the MRFR reports, the healthcare predictive analytics market is assessed to flourish a sound CAGR of more than 29.87% to reach USD 65.9 billion during the appraisal time frame from 2024 to 2030. Medical services prescient investigation alludes to the field of advanced examination, which utilizes expectations in regards to future occasions.


Verifiable information can conjecture potential results and accurately illuminate organizations about future patterns. The medical services prescient investigation market has enlisted colossal development over the most recent couple of years. The market's development is mostly credited to the rising costs of medicine offices.


Besides, factors, for example, the rising prominence of customized drugs, developing item dispatches, and developing number of consolidations and acquisitions are additionally projected to catalyze the market's development throughout the next few years.


Then again, the high execution and membership/authorizing charges of advanced investigation arrangements are the essential controlling perspective prone to block the market's development. Moreover, the absence of mindfulness among buyers across the agricultural countries is likewise prone to hamper the market's development before very long.


Healthcare Predictive Analytics Market Segmentation


The healthcare predictive analytics market is segmented on the basis of component, application, and end user.


By component the market is categorised into services, software, and hardware


Based on application, the healthcare predictive analytics market is segmented into operations management, financial, population health, and clinical. The operations management segment is further divided into demand forecasting, workforce planning and scheduling, inpatient scheduling, and outpatient scheduling. The financial segment is further divided into revenue cycle management, fraud detection, and others. The population health segment is further divided into population risk management, patient engagement, population therapy management, and others. The clinical is further divided into quality benchmarking, patient care enhancement, clinical outcome analysis and management. On the basis of end user, the market is segmented into payers, providers, and others.


On the basis of region, the healthcare predictive analytics global market is segmented into the Americas, Europe, Asia-Pacific, and the Middle East and Africa. The Americas is sub-segmented into North America and Latin America. The North American region is further segmented into the US and Canada. The European region is divided into two, namely, Western Europe and Eastern Europe. Western Europe is further classified into Germany, Italy, France, the UK, Spain, and the rest of Western Europe. The Asia-Pacific region is sub-segmented into Japan, China, India, Australia, South Korea, and the rest of Asia-Pacific. The healthcare predictive analytics market in the Middle East and Africa has been segmented into the Middle East and Africa.


Healthcare Predictive Analytics Regional Market Share (%), by Regions


Healthcare predictive analytics Market


Sources: Centers for Disease Control and Prevention (CDC), US Department of Health and Human Services, National Institutes of Health


It is projected that the Americas dominated the global healthcare predictive analytics market owing to the growth of the market in the North American region. This is largely attributed to the factors such as streamlined health-care systems, updated regulatory policies, and availability of trained workforce in this region helped it attain a lucrative market share.


Europe is expected to hold the second largest share in the market owing to growing healthcare infrastructure. Also, in October 2017, Allscripts had acquired McKesson’s Enterprise Information Solutions business that had contributed to the exponential growth of the healthcare predictive analytics market.


Asia-Pacific was projected to be the fastest growing region for the global healthcare predictive analytics market. This owes to the technological advancements resulting in the development of cost-effective predictive analytics leading to high acceptance rate for the devices in the Asia-Pacific region. The Middle East and Africa holds the least share in the global healthcare predictive analytics market due to the presence of economically diverse countries, and less initiatives taken by the government.


Recent Developments


November 2023: IBM announces that it has acquired Truven Health Analytics, a healthcare analytics company based in Chicago. The acquisition will give IBM a stronger position in the healthcare analytics space and allow it to offer a wider range of solutions to healthcare providers and organizations.Oracle acquires HealthTech firm MedeAnalytics to strengthen its analytics portfolio. With this acquisition, Oracle aims to expand its healthcare analytics offerings and provide comprehensive solutions to healthcare providers and organizations.Cerner acquires Explorys, a healthtech firm that provides data-driven population health solutions. The acquisition aims to enhance Cerner's population health capabilities and provide insights into patient outcomes.


September 2023: The US Food and Drug Administration (FDA) approves the first gene-edited stem cell therapy for the treatment of a rare form of childhood cancer. This approval marks a significant milestone in the development of predictive analytics in healthcare.The European Medicines Agency (EMA) grants orphan drug designation to a new stem cell therapy for the treatment of a rare form of blood cancer. This designation provides the company developing the therapy with access to funding and support from the EMA to accelerate the development of the therapy.Several companies announce new clinical trials of predictive analytics in healthcare for a variety of diseases. These trials aim to further evaluate the safety and efficacy of predictive analytics in clinical settings.


March 2022 A company known for its Precision Nudging™ solution, which promotes health through AI-powered behavior change, Lirio, has announced entering into a broad-ranging strategic alliance with NTT DATA, a prominent leader in business and IT services. Together, both the firms will allow healthcare providers to empower patients via tailored digital experiences.


The chief of innovation, strategy, and provider industry solutions for NTT DATA Services, Lisa Esch, said that healthcare consumers are demanding more improved, personalized care that the firm has the technology to do. Still, first needs focus on the digital patient experience.


March 2022 An innovator in developing disease-modifying therapeutic interventions for neurodegenerative diseases, Cognito Therapeutics, and a prominent real-world evidence (RWE) technology and analytics provider, Aetion, has announced a deliberate partnership to develop a certified predictive model to recognize patients with swiftly progressing Alzheimer's disease and mild cognitive impairment (MCI).


Healthcare Predictive Analytics Market, by Component



  • Services

  • Software

  • Hardware


Healthcare Predictive Analytics Market, by Application



  • Operations Management


    • Demand Forecasting

    • Workforce Planning and Scheduling

    • Inpatient Scheduling

    • Outpatient Scheduling


  • Financial


    • Revenue Cycle Management

    • Fraud Detection

    • Other Financial Applications


  • Population Health


    • Population Risk Management

    • Patient Engagement

    • Population Therapy Management

    • Other Applications


  • Clinical


    • Quality Benchmarking

    • Patient Care Enhancement

    • Clinical Outcome Analysis and Management



Healthcare Predictive Analytics Market, by End User



  • Payers

  • Providers

  • Others


Healthcare Predictive Analytics Market, by Region



  • Americas


    • North America


      • US

      • Canada


    • Latin America


  • Europe


    • Western Europe


      • Germany

      • France

      • Italy

      • Spain

      • UK

      • Rest of Western Europe


    • Eastern Europe


  • Asia-Pacific


    • Japan

    • China

    • India

    • Australia

    • South Korea

    • Rest of Asia-Pacific


  • The Middle East & Africa


    • Middle East

    • Africa



Healthcare Predictive Analytics Market, Key Players



  • IBM

  • Cerner Corporation

  • Verisk Analytics, Inc.

  • McKesson Corporation

  • SAS

  • Oracle

  • Allscripts

  • Optum, Inc.

  • MedeAnalytics, Inc.

  • Inovalon

  • Health Catalyst

  • SCIO Health Analytics

  • Verscend Technologies, Inc

  • CitiusTech, Inc.

  • Wipro Limited

  • VitreosHealth


Intended Audience



  • Medical device companies

  • Analytical companies

  • Government institutions

  • Research and Development (R&D) companies

  • Medical research laboratories

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