DUBLIN--(BUSINESS WIRE)--The "Healthcare Predictive Analytics Market - Global Outlook & Forecast 2023-2028" report has been added to ResearchAndMarkets.com's offering.
The global healthcare predictive analytics market is expected to reach $30.71 billion by 2028 from $9.21 billion by 2022 grow at a CAGR of 22.23% from 2022-2028.
Market Trends and Drivers
Predictive AI Enhancing Patient Care and Health Outcomes
Predictive AI enhancing patient care and health outcomes is an emerging area of healthcare technology that uses artificial intelligence (AI) to help healthcare providers make informed decisions about a patient's care.
Predictive AI can analyze vast amounts of data from multiple sources to provide insights about the patient's condition, treatment history, and other data points that can help health professionals predict health problems and develop targeted treatment plans.
By integrating AI into patient care, healthcare providers can more accurately diagnose and treat conditions, improve patient outcomes, and reduce costs. In addition, predictive AI can identify potential risk factors for disease and provide early warning signs of health problems.
In the healthcare predictive analytics market, AI can examine patient records to predict the likelihood of certain diseases and disorders. Recent studies have shown that AI can detect previously difficult conditions to identify and diagnose, such as rare genetic and neurodegenerative diseases.
Predictive Analytics in Home Health
Predictive analytics in home health uses data-driven models and algorithms to help predict and anticipate future health outcomes or risks. These analytical methods are typically used by clinicians, administrators, providers, and health plans to identify and reduce risks in the home health care setting.
Through predictive analysis, healthcare providers can make better-informed decisions regarding patient care to improve the quality and outcomes of care.
Predictive analytics can help determine which patients are likely to require higher levels of care or may need additional services; identify patients who may benefit from personalized treatments; assess the impact of various interventions on treatment outcomes; and improve communication between providers and patients. Predictive analytics can also assess mortality, readmission rates, and healthcare costs.
Increasing Importance of Predictive Analytics in Healthcare
The increasing importance of the healthcare predictive analytics market is projected to support the healthcare analytics industry. Predictive analytics helps healthcare practitioners identify potential health issues and take preventive action before it is too late, thus providing cost and time efficiency to healthcare providers.
Data from medical sensors, clinical laboratories, pharmacy information systems, and other sources help healthcare providers deliver tailored and personalized patient care.
Predictive analytics helps organizations to identify patterns and trends in large amounts of data and utilize the insights to improve operational efficiency, reduce costs and improve patient outcomes. Predictive analytics enables the healthcare provider to predict future health trends, identify at-risk patients, and formulate relevant intervention programs. The increasing use of healthcare analytics is leading to enhanced accuracy in diagnosis, improved patient outcomes, and reduced cost.
Growing Need to Reduce Healthcare Costs Predictive Analytics
Predictive analytics has become a valuable tool in healthcare as it helps to reduce healthcare costs by enabling improved decision-making, operational improvements, and targeted interventions. Predictive analytics helps healthcare organizations anticipate costs, identify trends, and reduce costs to focus on high-value patient care. Predictive analytics helps to forecast the future with better precision and accuracy, which provides a more robust basis for decisions and actions.
Predictive analytics are also used to support decisions related to population health, such as allocating resources to patients, assessing the financial impact of different treatments, and predicting when changes should be made to maximize cost savings. The growing need to reduce healthcare costs is leading to an increased demand for predictive analytics and is driving the healthcare predictive analytics market.
Availability of Abundant Patient Data Encouraging Usage of Predictive Analytics
The availability of abundant patient data is encouraging the usage of predictive analytics in healthcare and boosts the growth of the healthcare predictive analytics market. Predictive analytics uses data mining, machine learning, and statistical techniques to identify patterns and trends that can help diagnose illnesses, identify risk factors, and predict health outcomes.
Key Questions Answered:
1. How big is the global healthcare predictive analytics market?
2. What is the growth rate of the healthcare predictive analytics market?
3. What are the growing trends in the healthcare predictive analytics industry?
4. Which region holds the most significant global healthcare predictive analytics market share?
5. Who are the key players in the global healthcare predictive analytics market?
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 309 |
| Forecast Period | 2022 - 2028 |
| Estimated Market Value (USD) in 2022 | $9.21 Billion |
| Forecasted Market Value (USD) by 2028 | $30.71 Billion |
| Compound Annual Growth Rate | 22.2% |
| Regions Covered | Global |
Market Segmentation
by Delivery Mode
- On-premises
- Cloud-based
by Application
- Finance & Operations
- Clinical Care
- Population Health Management
- R&D
by End-user
- Payers
- Healthcare Settings
- Others
by Geography
- North America
- The U.S.
- Canada
- Europe
- Germany
- The U.K.
- France
- Italy
- Spain
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Latin America
- Brazil
- Mexico
- Argentina
- Middle East & Africa
- Turkey
- Saudi Arabia
- South Africa
Key Company Profiles
- Health Catalyst
- IBM
- Koninklijke Philips
- Microsoft
- Oracle
- UNITEDHEALTH GROUP
Other Prominent Vendors
- Allscripts Healthcare
- Apixio
- CGI
- Change Healthcare
- Conduent
- COTIVITI
- Epic Systems
- Flatiron
- Forian
- FraudLens
- FRISS
- Healthcare Fraud Shield
- LexisNexis Risk Solutions
- MedeAnalytics
- Net Health
- OSP
- PotentiaMetrics
- SAS Institute
- Verisk Analytics
- Wipro
For more information about this report visit https://www.researchandmarkets.com/r/z4xsli
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