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The global healthcare predictive analytics market, valued at USD 18.55 billion in 2024, is projected to reach USD 23.10 billion in 2025 and USD 207.53 billion by 2035, representing a CAGR of 24.55% during the forecast period.
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Healthcare predictive analytics is a process of using advanced analytical tools to understand historical and current healthcare data for predicting the future outcomes. With predictive analytics software, healthcare professionals can increase efficiency, improve patient compliance and make better decisions to enhance care quality. Healthcare industry is constantly leveraging electronic health records system, and big data and predictive analytics in healthcare analytics to manage patient records, data collection, and treatment decision associated tasks.
Driven by the increasing integration of advanced data analysis solutions, the market for healthcare predictive analytics is experiencing an upward trajectory. However, it is important to highlight here that the adoption of digital health solutions, such as patient monitoring devices, digital therapeutics and wearable devices to monitor disease progress is currently increasing exponentially. The high volume of data generated through digital health solutions and mobile health applications has necessitated the demand for advanced analytics solutions to store and share data securely.
Additionally, the growing trend of value-based personalized healthcare also increases the need for cutting-edge analytics tools to measure treatment outcomes effectively. Given the heightened demand for advanced analytics tools, several organizations have taken strategic initiatives to support the development of robust analytics software and services. For instance, in July 2024, the World Health Organization / Europe has launched a Strategic Partner’s Initiatives for Data and Digital Health (SPI-DDH). This collaborative network will bring together over 53 member states of WHO European Region and various industrial payers in the field of data and digital health to mitigate the issues associated with digital transformation in healthcare industry.
Also, the healthcare predictive analytics industry is witnessing the penetration of industrial players for technological innovations. The focus is solely on making predictive analytics in healthcare more streamlined and automated to ensure real-time data interpretation.
For instance, in May 2024, mPulse announced the launch of integrated predictive analytics and omnichannel engagement products in digital health ecosystem. As stated by Bob Farrell (Chief Executive Officer, mPulse), “The healthcare ecosystem continues to seek ways to better personalize the consumer experience while lowering costs and improving health outcomes. We’re excited to be bringing new capabilities to market that enable just that-an industry-first combination of predictive analytics with health engagement to transform the consumer health experience. With this combined offering, mPulse is establishing a new category in the digital health market.”
With increasing innovations, the healthcare predictive analytics market is anticipated to grow at a steady rate during the forecast period.
The market report provides in-depth information on the leading predictive analytics healthcare companies who are presently engaged in different segments of the industry as mentioned in the table below.
| Key Report Attributes | Details | |
| Historical Trend | Since 2019 | |
| Forecast Period | Till 2035 | |
| Current Market Size | $23.10 Billion | |
| Market Size 2035 | $207.53 Billion | |
| CAGR (Till 2035) | 24.55% | |
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| PowerPoint Presentation (Complimentary) |
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| Customization Scope | 15% Free Customization | |
| Excel Data Packs (Complimentary) |
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One of the key objectives of the healthcare predictive analytics market report was to estimate the current size, opportunity and the market growth potential, over the forecast period, till 2035. We have provided informed estimates on the likely evolution of the market for the forecast period.
The market analysis also features the likely distribution of the current and forecasted opportunity within the market distributed across various segments, such as type of component (hardware, software and services), type of deployment (on-premises and cloud-based), type of application (clinical (quality benchmarking, patient care enhancement, clinical outcomes analysis and management), financial (revenue cycle management, fraud detection, other financial applications), and operations management (demand forecasting, workforce planning and scheduling, inpatient scheduling and outpatient scheduling) and population health (population risk management, patient engagement, population therapy management, other applications)), end user (healthcare payers, healthcare providers and life science companies) and geographical region (North America, Europe, Asia-Pacific, Middle East and North Africa, and Latin America) and leading players.
In order to account for future uncertainties associated with some of the key parameters and to add robustness to our model, we have provided three market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of industry’s evolution.
All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. The financial figures mentioned in this market report are in USD, unless otherwise specified.
Based on the type, the global healthcare predictive analytics market size is segmented into hardware, software and services. Among these, currently the software segment holds the largest share of the market. This dominance is due to the rising usage of predictive analytics software in data sets for analyzing data to make better treatment and financial decisions in healthcare industry.
However, in the long run, the hardware segment is expected to grow at a higher CAGR during the forecast period. This is due to the increasing usage of electronic health record management systems and analytics hardware solutions to manage records and quality care. Moreover, the preferences of using better hardware by healthcare organizations to scan vast amounts of data is likely to be a key reason for the highest growth rate.
The global healthcare predictive analytics market is distributed across different types of deployment mode, such as on-premises and cloud-based. Currently, cloud-based deployment accounts for the highest share of the market. This dominance is due to the are increasingly installation of analytic tools and software to store and interpret data effortlessly. Additionally, the increasing cloud-based services can easily be integrated with existing healthcare electronic record management systems and on-premises solutions for data management across healthcare industry. Driven by the growing adoption of cloud-based services, this segment is expected to grow at a higher CAGR rate during the forecast period.
The market for healthcare predictive analytics is categorized based on type of application into clinical (quality benchmarking, patient care enhancement, clinical outcomes analysis and management), financial (revenue cycle management, fraud detection, other financial applications), and operations management (demand forecasting, workforce planning and scheduling, inpatient scheduling and outpatient scheduling) and population health (population risk management, patient engagement, population therapy management, other applications).
On the basis of healthcare predictive analytics market forecast, currently financial application holds the maximum share (37%) of the market. This can be attributed to the fact that healthcare organizations integrating healthcare analytics tools to reduce the overall operational cost, enhance financial stability and automate the daily finance management task by leveraging predictive analytics tools.
It is worth mentioning here that predictive analytics tools offer better insight into incurring costs associated with patient care, so clinicians can identify the cost cutting areas. However, in the long run, the population health segment is likely to grow at a higher CAGR during the forecast period. This can be attributed to the growing shift towards analytics tools to identify possibilities of disease outbreak and designing treatment plans with detailed insight. Moreover, predictive analytic tools help in accessing the patient data generated through digital health solutions, telehealth and other online sources to identify high disease risk patients, enhancing patient survival rates.
The global market is segmented across various types of end users, such as healthcare payers, healthcare providers and life science companies. According to healthcare predictive analytics market analysis, currently healthcare providers segment holds majority of the market share (50%). This highest share is due to the fact that healthcare providers are continually adopting predictive analytic tools to make clinical diagnosis and treatment more effective. Moreover, healthcare providers are using predictive analysis software and solutions for allocating resources, and treatment decision making tasks.
However, it is important to highlight here that healthcare payers’ segment is expected to grow at a faster CAGR rate during the forecast period. This is likely to be the result of predictive analysis tools playing a significant role in managing financial operations by identifying risk, historical claims and responses to the ongoing trends in the healthcare industry. It is important to highlight here that in May 2024, Cohere Health launched early trend signal intelligence for predicting medical utilizations, medical loss ratios and increase in healthcare cost. The ongoing technological innovation in this field is likely to be a key factor for the highest growth rate of this segment.
Currently, North America accounts for the highest healthcare predictive analytics market share (45%). North America has advanced healthcare infrastructure and consistently focuses on personalized medicine to treat patients with chronic conditions. Predictive analytics tools help to collect valuable information about disease progression and other vital parameters. Furthermore, the robust base of key players who are emphasizing the technological innovations in this region has contributed to the highest share.
However, in Asia-Pacific, the market is likely to grow at a higher CAGR during the forecast period. This can be attributed to the increasing reliance of advanced remote monitoring devices and analytical tools for treatment planning. Furthermore, growing support from government organizations for technological innovations and advancement in healthcare infrastructure is expected to drive the market in this region.
The “Healthcare Predictive Analytics Market: Industry Trends and Global Forecasts, till 2035” research report features an extensive study of the focus on competitive landscape of strategic initiatives, emerging mega trends, big pharma initiatives, company profiles and key drivers and restraints. The market report highlights the efforts of several predictive analytics healthcare companies engaged in this rapidly evolving segment of the healthcare IT market. Key takeaways of the market report are briefly discussed below.
The market landscape of predictive analytics healthcare companies has the presence of several small, mid-sized and large industrial players with required expertise. Driven by the high adoption rate of predictive analytics tools, various industrial players are taking strategic initiatives to offer the wider range of high-tech analytics tools that can seamlessly integrate into the healthcare industry. For instance, in September 2024, Komodo Health announced to make investment in generative AI analytics assistant, Map AI so healthcare industry can be utilized for data collection and explore therapeutic areas. As stated by Laurent Bride (Chief Technology Officer, Komodo Health),”MapAI and another new tool, MapExplorer, enable healthcare professionals to explore any therapeutic area simply by asking questions in plain language.”
As market players continue to make such innovations in the industry, we believe that healthcare predictive analytics market will remain competitive throughout the projected period.
The healthcare predictive analytics market is expected to be propel by the growing adoption of electronic health records, and shift towards personalized drugs. Given by the growing demand for personalized therapeutics, healthcare experts are currently utilizing electronic healthcare records and digital healthcare devices to collect valuable insights about certain diseases or patients’ health to design therapeutic drugs or treatment plan.
Thus, the growing usage of big data analytics and other vital tools for the collection of data has further supported the growth of this industry. Additionally, the high-volume data generated during clinical evaluations and patient treatment progression has further underscored the demand for predictive analytics and healthcare tools.
Healthcare predictive analytics software requires data transmission from one source to another. Data transmission through open networks increases the risk of data privacy and security concerns. Therefore, industrial players are required to implement zero trust authentication and advanced cybersecurity principles to ensure safe data transmission. In addition to data security, lack of trained personnel, such as data science analysts, and bioinformatics experts for operating healthcare analytics technologies may impact the market growth during the forecast period.
Some of the significant trends that are anticipated to propel the market of healthcare predictive analytics are focused on managing population health, value-based care and penetration of telehealth services. Currently, the healthcare industry is focusing on integrating predictive analytics software solutions to manage population health by identifying the risk groups and providing valuable resources. These predictive analytics tools emerge as a potential solution to perform the analytics tasks effortlessly.
Furthermore, the growing shift towards value-based care has further prompted the adoption of predictive analytics solutions. Furthermore, the expansion of wearable technology into the healthcare industry for real-time disease monitoring is likely to be a key driving factor in the market.
North America has advanced infrastructure and a strong base of well-established market players who are deeply rooted in technological innovations. Further, the incidence of chronic conditions in this region has necessitated the advanced analytics tools integration to analyze the risk of disease in population and designing treatment plans. Moreover, Industrial players like IBM, IQVIA and Oracle are making strategic initiatives to support the adoption of advanced predictive analytics tools, which is likely to be a key factor for lucrative growth of this region.
The market for global healthcare predictive analytics is currently expected to be valued at USD 23.10 billion. Driven by the increasing penetration of innovative analytics software to enhance operational efficiency and manage health records, the market is continually witnessing an upward trajectory. Moreover, healthcare predictive analysis also helps in making financial decisions, such as insurance claims settlement and finance risk assessment.
It is important to highlight here that several industrial leaders have also forged partnerships with the aim of technological innovations in the industry. For instance, In May 2024, IBM announced recent updated into the Watsonx Health Data Aggregator platform, upcoming data and automation capabilities that are specifically designed to make AI technology more predictive, efficient, open and flexible for healthcare data generation, helping clinicians in delivering value-based care to the patients. As more industrial leaders enter into the industry, the market size is expected to reach USD 207.53 billion by 2035, representing a higher CAGR of 24.55% during the forecast period.
Examples of predictive analytics healthcare companies (which have also been captured in this report) include Allscripts Healthcare Solutions, Cerner, Elsevier, IBM, IQVIA, McKesson, Medeanalytics, Optum, Oracle, SAS Institute, Truven Health Analytics and Verisk Analytics. This market report includes an easily searchable excel database of all the companies focusing on the development of healthcare predictive analytics solutions.
Several recent developments have taken place in the healthcare predictive analytics field. We have outlined some of these recent initiatives below.