Predictive Disease Analytics Market is predicted to reach USD 13.7 billion at a CAGR of 23.20% during the forecast period

Market Research Future (MRFR) has published a cooked research report on the “Global Predictive Disease Analytics Market” that contains information from 2018 to 2032. The Predictive Disease Analytics market is estimated to register a CAGR of 23.20% during the forecast period of 2023 to 2032.

Predictive Disease Analytics Market Highlights

The global predictive disease analytics market is accounted to register a CAGR of 23.20% during the forecast period (2023-2032) and is estimated to reach USD 13.7 Billion by 2032.

The primary factors influencing the market's growth include improved healthcare sector efficiency, the introduction of personalised and evidence-based therapy, and the rise in demand to cut back on unnecessary healthcare spending. However, it is projected that a lack of dependable infrastructure for efficient operation and a paucity of skilled IT personnel in the healthcare industry will limit the market's growth. Additionally, it is anticipated that during the projected time, the growing importance of healthcare in emerging economies will help open up new growth prospects. A number of challenges are being faced by the healthcare industry, including increased treatment costs, subpar patient service, and low patient engagement and retention rates.Due to this, the sector is implementing predictive illness analytics to streamline processes and provide patients with better care. These factors are primarily driving the expansion of the healthcare analytics market. For instance, in November 2022, Hartford HealthCare and Google Cloud established a long-term partnership to promote their digital healthcare system transformation and enhance patient care.Because of the speedy growth of technology and significant investment made by the industry, the healthcare sector is rapidly going digital. All throughout the world, these analytical techniques are being used to manage patient retention. Healthcare analytics are also used to improve patient care, increase employee efficiency, and reduce carer stress. Data bricks created the Lakehouse paradigm for the healthcare and life science industries in March 2022 to bring innovation to research and treatment. On a single platform, analytics, data management, and cutting-edge AI may be used to predict diseases, classify medical images, and identify biomarkers.

Segment Analysis

The global predictive disease analytics market has been segmented based Component, Deployment and End User.

On the basis of component, the market is segmented into software & services and hardware. The software & services segment was attributed to holding the largest market share in 2022. Since they don't have a data analytics section, the majority of businesses outsource the data analytics component of their IT. As a result, more businesses are using data analytics to provide a variety of services to businesses. The expansion of data analytics services further accelerates the industry's growth.

Based on deployment, the global Predictive Disease Analytics market has been segmented into on-premise and cloud-based. The on-premise segment was expected to hold the largest market share in 2022. The current technologies are beneficial for small businesses, but when scaled up, they may become challenging and time-consuming to use if the business manages a large dataset. It may be required to make a substantial financial investment in data security and storage.

Based on end user, the global Predictive Disease Analytics market has been segmented into healthcare payers, healthcare providers, and other end users. The healthcare payers segment was expected to hold the largest market share in 2022. In order to assess the likelihood of contracting an illness, analyse insurance claims prior to payment settlement, and stop and spot fraudulent claims, payers utilise predictive disease analytics systems. Payers anticipate the future using recent and historical data.

Browse In-depth Market Details [Table of Content, List of Figures, List of Tables] of Predictive Disease Analytics Market Research Report

Regional Analysis

The global predictive disease analytics market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe Predictive Disease Analytics market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The Predictive Disease Analytics market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World Predictive Disease Analytics market comprises of Middle East, Africa, and Latin America.

The largest market share for predictive disease analytics was maintained by the North American regional sector. This region has the most advanced medical facilities, which hastens platform adoption. Due to the rising incidence of chronic diseases and the proportion of the senior population, there is a greater need for hospitals and other enterprises to adopt analytics technologies.

Moreover, the Europe market has been persistently growing over the forecast period. A growing senior population and an increase in the prevalence of chronic diseases are the main causes of the regional spread.

Additionally, Asia Pacific is anticipated to experience the quickest growth over the forecast period. The increase of helpful government programmes is responsible for the market expansion. In addition, rising healthcare costs encourage market growth and open up new business opportunities.

Furthermore, the rest of the world's Predictive Disease Analytics market is divided into the Middle East, Africa, and Latin America. Electronic health records (EHRs), telemedicine, and wearable technology are among the developments in the region's healthcare technology infrastructure. These technologies produce enormous volumes of healthcare data, which can be used to uncover illness patterns and inform decisions using predictive analytics.

MRFR recognizes the following companies as the key players in the global Predictive Disease Analytics market— Oracle, IBM, SAS, Allscripts Healthcare Solutions Inc., MedeAnalytics, Inc., Health Catalyst, and Apixio Inc.

Key Findings of the Study

• The global Predictive Disease Analytics market is expected to reach USD 13.7 Billion by 2032, at a CAGR of 23.20% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market due to the increase of helpful government programmes is responsible for the market expansion. In addition, rising healthcare costs encourage market growth and open up new business opportunities.


• Based on Component, the software & services segment was attributed to holding the largest market in 2022, with an approximate market share of 45–65%.


• Oracle, IBM, SAS, Allscripts Healthcare Solutions Inc., MedeAnalytics, Inc., Health Catalyst, and Apixio Inc.