Predictive Disease Analytics Market Highlights

The global predictive disease analytics market size report accounts the industry 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 Predictive Disease Analytics market is witnessing remarkable growth, propelled by several pivotal factors. With the increasing availability of healthcare data and the rapid evolution of data analytics technologies, the sector is experiencing a surge in demand. Predictive analytics tools empower healthcare providers and researchers to forecast disease trends, enhance patient care, and optimize resource allocation. Moreover, the global healthcare landscape's growing emphasis on preventive medicine and personalized treatment is driving the adoption of predictive disease analytics solutions. In terms of market highlights, Artificial Intelligence (AI) and machine learning are revolutionizing disease prediction and diagnosis, offering unparalleled accuracy and insights. Additionally, the integration of predictive analytics into telemedicine and wearable devices is reshaping the future of healthcare.

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.

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.

Top Key Companies

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

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