USD 9.3 billion
Report ID:
SQMIG35G2230 |
Region:
Global |
Published Date: July, 2001
Pages:
260
|Tables:
91
|Figures:
76
Healthcare Predictive Analytics Market size was valued at USD 9.3 billion in 2019 and is poised to grow from USD 11.58 billion in 2023 to USD 83.21 billion by 2031, growing at a CAGR of 24.5% in the forecast period (2024-2031).
To identify early symptoms of weakening patients in the ICU and general ward, recognize at-risk patients at home to avoid hospital readmissions and inhibit avoidable medical equipment downtime predictive analytics in healthcare is helpful. The rise in demand for advanced analytics systems in the industry to improve patient outcomes as well as for reducing costs has been a major driver for the market. According to the Centre’s for Disease Control and Prevention (CDC), people with chronic and mental health conditions account for 90% of the United States' USD 3.8 trillion in yearly healthcare expenditure. Owing to this, the cost savings from lowering chronic disorder treatment are substantial.
The endorsement of predictive analytics solutions can be boon in significantly reducing the cost of healthcare procedures. The predictive analysis combined with personalized medicine can not only result in a reduction of unnecessary medical costs but also give better patient outcomes and results. Healthcare predictive analytics uses EHRs to provide the best course of action in case of any medical procedure or medication. This not only reduces the costs for patients but also results in better outcomes. The use of advanced technological health systems along with analytics tools and AI are ready to propel the growth of the market. Healthcare costs have risen over the years owing to the increasing burden of chronic diseases on a global level.
US Healthcare Predictive Analytics Market is poised to grow at a sustainable CAGR for the next forecast year.
Global Market Size
USD 9.3 billion
Largest Segment
Services
Fastest Growth
Services
Growth Rate
24.5% CAGR
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Global healthcare predictive analytics market has been segmented based on product type, application, end use, and region. Based on product type, global healthcare predictive market is segmented into hardware, services and software. On the basis of application, global healthcare predictive market is segmented into financial analytics, clinical, population health, and operations management. Based on end-use, the Healthcare Predictive Analytics Market is segmented into payers, providers, and others. Based on region, the market is segmented into North America, Asia-Pacific, Middle East & Africa, Latin America, and Europe.
Healthcare Predictive Analytics Market Analysis by Product Type
The services segment held prominent share in global healthcare predictive analytics market in 2021 and is likely to maintain its dominance throughout the forecasted period. In comparison to other industries such as retail, and finance, among others, the healthcare industry has been slow to adopt technology in grasping the technology. Therefore, the industry is heavily reliant on services instead of investing mostly in technological infrastructure to keep the operational costs in check.
The software segment is fastest growing segment of during the forecast period. For handling patient records, healthcare infrastructure is evolving and incorporating artificial intelligence and analytical based technologies. The software segment growth is attributed to the increasing need to reduces the healthcare costs and improve the data management systems. Further, the increasing adoption of healthcare predictive analytics like revenue cycle management and electronic health records is increasing the demand for the healthcare analytics software.
Healthcare Predictive Analytics Market Analysis by Application
The financial analytics segment accounted for a significant market share in 2021 and maintain its dominance during the forecast period. Increase in the number of financial frauds occurring around the world due to the digitalization and online payment option, financial analytics segment accounts as the growing segment in the global healthcare predictive analytics market. The National Healthcare Fraud Association estimates that nearly US$ 80 billion in fraud occurs in the United States each year.
The population health sub-segment is expected to witness lucrative growth owing to rise in importance of using predictive analytics to evaluate the disease treatment pattern and reduce rates. With the generation of large amounts of patient data through telehealth and other online platforms and connected devices, population health management can be done by identifying populations that need proper medical care. Patient outcomes can be greatly improved and are thus propelling the growth of the market.
Healthcare Predictive Analytics Market Analysis by End Use
The payers segment generated considerable revenue during the projected period. The payers segment dominated the global market in 2021 and accounted for the maximum share of more than 36.00% of the overall revenue. Predictive analytics is primarily used by health insurers, health plan funding agencies, and other third-party payers to analyse insurance claims, prevent and detect fraudulent claims, and evaluate disease risk. False claims can be tracked, and payers can save billions of dollars. As a result, healthcare predictive analytics software benefits payers more than other end-users.
The healthcare providers segment, on the other hand, is expected to increase at the rapid pace during the forecast period, owing to hospitals and other care facilities’ increasing usage of analytical solutions. Private establishment as well as public, and government-funded organizations has the benefit of this market. Insurance companies, health plan sponsors, and other third-party payers are one of the key benefiting parties, through the use of predictive analytics in healthcare settings are the payers. Fraudulent can be tracked and billions can be saved from the perspectives of payers.
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North America dominated the global market in 2021. This region accounted for the maximum share of more than 48.5% of the global market revenue in the same year. Factors like developed structure of the healthcare system and the trained staff for performing predictive analysis, paying capacity in terms of training staff to use these analytics tools has been growth of the market.
Asia Pacific is expected to rank second in the healthcare predictive analytics market in the future, as both government and private investors are expected to play a key role in the development of healthcare infrastructure in developing countries such as India and Indonesia, fueling the growth of the healthcare predictive analytics market.
Europe may also see rapid growth in the global healthcare predictive analytics market owing to improved healthcare infrastructure in countries such as Germany and the United Kingdom.
In the coming years, other regions such as Latin America, the Middle East, and Africa are expected to see moderate growth in the overall healthcare predictive analytics market.
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Healthcare Predictive Analytics Market Drivers
Healthcare Predictive Analytics Market Restraints
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The players in the global healthcare predictive analytics market are constantly inventing and developing improved analytical solutions, as well as extending their product offerings. To help healthcare organizations implement data analysis solutions, combat the pandemic, and preserve competitive advantage in the healthcare analytics market, the companies are focused on their alliances, technology collaborations, and product launch strategies.
Top Players in the Global Healthcare Predictive Analytics Market
Healthcare Predictive Analytics Market Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected utilizing Primary Exploratory Research backed by the robust Secondary Desk research.
According to our global healthcare predictive analytics market analysis, introduction of new cost-cutting and time-saving tools is expected to support market growth in the coming years. Uniontown Hospital, for example, collaborated with Cerner to implement a solution that reduced the amount paid to a third-party transcription service. Using Dynamic Documentation, a Cerner analytic tool, the hospital saved more than USD 200,000 per year. There are some promising new tools for healthcare predictive analytics that are expected to be released. The anticipated release of these tools will most likely support market growth during the forecast period.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 9.3 billion |
Market size value in 2031 | USD 83.21 billion |
Growth Rate | 24.5% |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Historical Year | 2019 |
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Healthcare Predictive Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Healthcare Predictive Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Healthcare Predictive Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
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Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
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Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
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Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
Healthcare Predictive Analytics Market size was valued at USD 9.3 billion in 2019 and is poised to grow from USD 11.58 billion in 2023 to USD 83.21 billion by 2031, growing at a CAGR of 24.5% in the forecast period (2024-2031).
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Report ID: SQMIG35G2230
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