Predictive Disease Analytics Market is expected to reach a valuation of US$ 18.64 billion by the end of 2033

The global Predictive Disease Analytics Market demand is expected to increase at a CAGR of 22.5% over the forecast period, according to FMI. The size of the sector is predicted to increase from US$ 2.45 billion in 2023 to US$ 18.64 billion by the end of 2033.

The increasing patient load on healthcare management is expected to increase demand for Predictive Disease Analytics. Furthermore, increased disease prevalence and enormous data creation are pushing Predictive Disease Analytics usage. The rising pressure on the healthcare industry to offer better patient care at reduced costs is opening up new opportunities for Predictive Disease Analytics growth.

Request a Sample Report with Table of Content@ https://www.futuremarketinsights.com/reports/sample/rep-gb-16918

Rapid technological innovation and investment in the healthcare industry are leading in the sector’s rapid digitization. Analytical platforms are utilised all around the world to efficiently manage and keep patients. Furthermore, using these tools boosts staff productivity, decreases carer burden, and enhances patient management.

The increased usage of Predictive Disease Analytics by policymakers to assess statistics and models for better decision-making is also expected to drive market expansion. Furthermore, prominent players are hard at work developing technologically enhanced tools to improve patient outcomes.

Top Highlights from the FMI’s Analysis of the Predictive Disease Analytics Market: 

  • The US market is predicted to achieve a large market share throughout the forecast period. This can be attributed to the country’s increasing chronic disease burden.
  • The market in China is expected to grow rapidly. High growth potential for China’s leading corporations will almost certainly drive market expansion.
  • The software and services sector is predicted to achieve 69.9% by 2022. Increased IT expenditure is likely to fuel segment growth.
  • Cloud-based solutions are expected to become more popular in the future. Category development is projected to be driven by increased demand for solutions that stimulate user participation and enable quick access to medical information.
  • In 2022, the healthcare payers segment is estimated to account for 40.9% of the market. The increasing use of Predictive Disease Analytics for insurance claim evaluation is projected to drive segment growth.
  • The healthcare provider segment is expected to increase rapidly. Demand for these services to help people make better healthcare decisions is projected to drive market growth.

Avail Discount@ https://www.futuremarketinsights.com/request-discount/rep-gb-16918

Developments in Predictive Disease Analytics in News:

  • In July 2022, Trilliant Health, which is a healthcare consulting company, released an analytics tool called SimilarityIndex. The tool helps healthcare institutions to precisely benchmark by locating extremely similar markets, facilities, providers, and patient populations.
  • In July 2022, juli, a corporation that focuses on managing chronic conditions utilizing AI, declared the development of an advisory board. This board consists of digital health pioneers that help patients to better control complex chronic diseases by gathering and analyzing insights from the environment, smartphones, wearables, electron magnetic resonance, and patient-reported data.
  • In November 2022, SEMCAP, a US-based investment company, revealed its healthcare investment strategy. This new investment strategy includes high-growth opportunities, technology-enabled service companies, and next-Gen healthcare technology, taking into consideration digital trends in the healthcare industry and demographics.

Key Companies Profiled:

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

Customization Available@ https://www.futuremarketinsights.com/customization-available/rep-gb-16918

Predictive Disease Analytics Market by Category

By Component, the Predictive Disease Analytics Industry is segmented as:

  • Predictive Disease Analytics in Software and Services
  • Predictive Disease Analytics in Hardware

By Deployment, the Predictive Disease Analytics Industry is categorized as:

  • On-premise Predictive Disease Analytics
  • Cloud-based Predictive Disease Analytics

By End User, the Predictive Disease Analytics Market is segregated as:

  • Predictive Disease Analytics for Healthcare Payers
  • Predictive Disease Analytics for Healthcare Providers
  • Predictive Disease Analytics for Others

About Future Market Insights, Inc.

Future Market Insights, Inc. (ESOMAR certified, Stevie Award – recipient market research organization and a member of Greater New York Chamber of Commerce) provides in-depth insights into governing factors elevating the demand in the market. It discloses opportunities that will favor the market growth in various segments on the basis of Source, Application, Sales Channel and End Use over the next 10-years.

Contact:

Future Market Insights, Inc.
Christiana Corporate, 200 Continental Drive,
Suite 401, Newark, Delaware – 19713, USA
T: +1-845-579-5705
For Sales Enquiries: sales@futuremarketinsights.com
Browse All Reports: https://www.futuremarketinsights.com/reports
LinkedInTwitterBlogs

About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

Leave a Reply

Your email address will not be published. Required fields are marked *

You may also like these