Healthcare Analytics Market Size, Share & Trends Analysis, By Type (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics, and Others), Component (Services, Software and Hardware), Deployment (On-premises, Cloud-based, and Web based), Application (Financial, Clinical, Population Health Analytics, and Others), End-use, By Region, Forecast Period 2023 – 2030 (Updated Version Available)

Report ID - MRC_2000 | Pages - 286 | Category - Healthcare IT

Key Market Overview:

Healthcare Analytics Market size was worth USD 29.2 Billion in 2022, accounting for a CAGR of 20.3% during the forecast period (2023-2030), and the market is projected to be worth USD 154.1 Billion by 2030.

Healthcare analytics refers to the systematic use of data and statistical methods to improve healthcare outcomes, reduce costs, and optimize healthcare delivery. Healthcare data analytics is a growing field that involves the collection, analysis, and interpretation of health-related data to support decision-making by healthcare providers, payers, and patients. Healthcare analytics encompasses a wide range of activities, including clinical data analysis, financial analysis, and operational analysis. In the clinical setting, healthcare analytics is used to identify trends and patterns in patient data, predict disease outcomes, and improve treatment protocols. For instance, predictive analytics helps to identify patients who are at risk of developing complications or readmissions, allowing healthcare providers to intervene and provide proactive care.

In the financial realm, healthcare analytics helps to identify areas of waste and inefficiency, optimize resource allocation, and reduce costs. It can also help healthcare providers assess the financial impact of clinical decisions and treatment protocols. The operational analysis involves the use of analytics to optimize the delivery of healthcare services. This includes improving patient flow, reducing wait times, and ensuring that healthcare resources are used efficiently. Overall, healthcare analytics plays a critical role in improving the quality of care, reducing costs, and increasing efficiency in the healthcare industry. With growingdata sources and analytical techniques continuing to evolve, healthcare analytics is expected to become an increasingly important tool for improving healthcare outcomes.

Market Dynamics

Drivers:

The healthcare industry is experiencing a shift towards quality patient care, cost reduction, and streamlined healthcare delivery. Healthcare analytics is a key driver in achieving these objectives by analyzing patient data to identify patterns and trends, and optimizing healthcare workflows. The growth of digital health technologies and electronic health records has led to a significant increase in healthcare data, making healthcare analytics critical in extracting valuable insights that inform decision-making. As a result, the healthcare analytics market is rapidly expanding, providing businesses with the tools to enhance patient outcomes, reduce costs, and improve the efficiency of healthcare delivery. Therefore, the above-mentioned factors are propelling the market growth.

Restraints:

One of the key restraints of the healthcare analytics market is the need to address concerns about data security and patient privacy. With healthcare data becoming increasingly digitized, the risk of data breaches and cyber-attacks is a growing concern. Additionally, the implementation of healthcare analytics solutions is expensive and complex, requiring significant investments in technology, talent, and infrastructure. As a result, these factors limit the adoption rates across the market globally.

Opportunities:

The rapidly evolving capabilities of artificial intelligence (AI) and machine learning (ML) are creating significant new opportunities for the healthcare analytics market. Advanced analytics and AI are likely to help healthcare providers to gain valuable insights from their data, making it possible to accurately predict outcomes, identify patterns and trends, and optimize healthcare workflows. By leveraging these technologies, healthcare organizations improve the quality of care they provide to patients, reduce costs, and streamline operations. As AI and ML continue to advance, healthcare analytics is poised to become an even more powerful tool for improving patient outcomes and driving business growth in the healthcare sector.

Healthcare Analytics Report Coverage:

Report Attributes Report Details
Study Timeline 2017-2030
Market Size in 2030 (USD Billion) 154.1 Billion
CAGR (2023-2030) 20.3%
By Type Descriptive Analytics, Prescriptive Analytics, Predictive Analytics, and Others
By Component Services (Business Analytics Services and Support Services), Software and Hardware
By Deployment On-premises, Cloud-based, and Web-based
By Application Financial, Clinical, Population Health Analytics, and Others
By End-use Healthcare Providers and Healthcare Payers
By Region North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa
Key Players Optum, Inc. (UnitedHealth Group Inc.), IBM Corporation, SAS Institute Inc., Oracle Corporation, IQVIA Inc., Elsevier (RELX plc), MedeAnalytics, Inc., Inovalon Inc., Koninklijke Philips N.V., and Syntellis Performance Solutions, LLC (Kaufman, Hall and Associates, LLC)

Market Segmentation:

By Type

Based on the type, the healthcare analytics market is categorized into descriptive analytics, prescriptive analytics, predictive analytics, and others. Descriptive analytics holds the largest market share in the year 2022. This is attributed to the valuable insights provided by analyzing historical data, allowing hospitals to assess insurance claim performance. However, predictive analytics is anticipated to experience the fastest growth rate due to its ability to use data sets to anticipate future trends. Predictive analytics has become a crucial component in the healthcare industry, enabling organizations to forecast future trends and make informed decisions. The demand for data-driven insights is driving significant growth in the healthcare analytics market, with healthcare organizations seeking to improve patient outcomes and reduce costs. Thereby, healthcare analytics providers are developing innovative tools and solutions to meet these demands, creating an exciting growth opportunity for the industry.

By Component

Based on components, the healthcare analytics market is bifurcated into services, software and hardware. The services segment holds the largest market share in the year 2022. As the organizations lack the resources to enable analytics, and life science, the service segment plays an important role by providing them with all the required services. The rise in services provided by data analytics firms is responsible for segmental growth. However, the software segment is anticipated to witness the fastest CAGR over the forecast period. As the healthcare sector is having huge demand for analytical solutions due to the increased workload.

By Deployment

Based on deployment, the market is categorized into on-premise, cloud-based, and web-based. The on-premise segment holds the largest market share in the year 2022. This is due to the increasing demand for analytics for daily transactions, such as, checking the number of patients, keeping track of the monetary transaction, and worker attendance. However, the cloud-based segment is expected to witness the fastest CAGR over the forecast period. This is due to easy storage, low investment of capital, flexibility, and efficiency. Therefore the above mentioned factors add up to the continuous growth of this segment.

By Application

Based on application the segment of the market is classified into financial, clinical, population health analytics, and others. The financial segment holds the largest market share in the year 2022. This is attributed to the healthcare organizations that focus to minimize costs, yet offering good care to patients. Further, healthcare analytics is used in finance to help organizations manage costs, identify revenue opportunities, and optimize financial performance. However, the clinic’s segment is expected to witness the fastest CAGR over the forecast period. As it improves patient care, streamlines operations, and optimizes resource allocation. These factors make it the fastest-growing segment during the forecast period.

By End-use

Based on the end-use segment the market is classified into healthcare providers and healthcare payers. The healthcare providers segment holds the largest market share in the year 2022. This is due to the increasing adoption of healthcare analytics by these providers to improve patient outcomes, operational efficiency, and financial performance. Healthcare providers are using healthcare analytics to address challenges such as rising healthcare costs, increasing demand for quality care, and the need for better data-driven decision-making. However, the healthcare payers segment is expected to grow at the fastest CAGR over the forecast period. This is due to the increasing focus on value-based care and the need to manage costs while improving the quality of care. Healthcare payers are using healthcare analytics to identify cost-saving opportunities, manage risk, and improve member engagement and satisfaction.

By Region

Based on region, the Healthcare Analytics market is categorized into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. North America holds the largest market share in the year 2022. This is attributed to the factors such as the increasing adoption of electronic health records, rising healthcare costs, and the growing demand for value-based care. However, Asia Pacific is projected to observe the fastest CAGR over the forecast period. This is due to factors such as the increasing demand for quality healthcare, the rising prevalence of chronic diseases, and the growing adoption of digital technologies in healthcare. Countries such as China, India, and Japan are major markets within the region.

Healthcare Analytics Market Competitive Landscape:

The market is highly competitive, with a large number of players operating at the global and regional levels. The players compete on various parameters such as price, quality, innovation, and customer service. They are constantly investing in research and development to improve their products and expand their market share. Mergers, acquisitions, and partnerships are also common strategies employed by companies to enhance their market position and expand their product portfolio. Key players in the market include-

Recent developments

  • In August 2022, Syntellis Performance Solutions completed the acquisition of Stratasan Healthcare Solutions, a company specializing in healthcare market intelligence and data analytics. This acquisition allowed Syntellis to enhance its portfolio of solutions for healthcare organizations by incorporating Stratasan’s data and intelligence solutions, which can be used to optimize operational, financial, and strategic growth planning. In other words, the acquisition strengthened Syntellis’ position in the healthcare industry by providing additional tools and resources to help healthcare organizations make informed business decisions.
  • In January 2022, IBM and Francisco Partners entered into a binding agreement, under which Francisco Partners will acquire certain healthcare data and analytics assets that are currently owned by IBM and are part of the Watson Health business. This transaction involves the transfer of ownership of these assets from IBM to Francisco Partners, and it is expected to result in Francisco Partners taking over the management and operation of these assets. In other words, IBM is selling off part of its Watson Health business to Francisco Partners, which is a private equity firm specializing in technology investments, and this deal will allow Francisco Partners to expand its portfolio in the healthcare data and analytics space.

Table of Content

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Healthcare Analytics Market Size, Share & Trends Analysis, By Type (Descriptive Analytics, Prescriptive Analytics, Predictive Analytics, and Others), Component (Services, Software and Hardware), Deployment (On-premises, Cloud-based, and Web based), Application (Financial, Clinical, Population Health Analytics, and Others), End-use, By Region, Forecast Period 2023 – 2030 (Updated Version Available)
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