The global healthcare prescriptive analytics market is forecasted to grow at a CAGR of 17.4% from 2023 to 2028.
The growing demand for population health management and growing digital healthcare technologies propel the global healthcare prescriptive analytics market. The practice of improving clinical health outcomes of a defined group of people through greater care coordination and patient involvement, backed by suitable financial and care models, is referred to as population health management. Population Health Management (PHM) is the analytic utilization of data from many sources. This information is aimed at specific population segments to treat diseases peculiar to that group. The Institute for Healthcare Improvement (IHI), in collaboration with the American Heart Association (AHA) and the Catholic Health Association of the United States, has released a report (CHA). The initiative aims to get the 4Ms Framework into 20% of US hospitals and medical practices by the end of 2020. The aim is that, among other things, this method will enhance clinical results, standardize physician approaches, and help to lower the cost of illness management.
Electronic health records (EHR) are becoming more widely used in the healthcare industry, which is estimated to accelerate the need for the healthcare prescriptive analytics market in the near future. The adoption of big data in the healthcare industry is expected to accelerate the market's growth rate. The computerized healthcare information system has advanced tremendously in the last two decades. Because of its creative contribution to decision-making and strategic development in the healthcare industry, big data analytics is getting a lot of attention. Big data is only starting to alter the healthcare industry and move it forward in various ways. Big data in healthcare promises to revolutionize medicine, technology, and finance, resulting in better patient care and more value for healthcare companies. The application of big data analytics in healthcare offers several beneficial and perhaps life-saving implications. Only a few areas of healthcare are predicted to be transformed by big data. According to the National Institutes of Health, precision medicine seeks to enlist one million people in the All of Us research program to volunteer their health data. When used in healthcare, it might help avoid epidemics, cure diseases, cut costs, and so on by analysing specific health data from a community (or an individual). The Future of Big Data in Healthcare Is Bright.
Additionally, the usage of healthcare analytics in precision medicine is significantly growing, expected to drive the growth of the global healthcare prescriptive analytics market. Healthcare firms are investing many financial and non-financial efforts into new technology to help with big data analytics and precision medicine. Precision medicine strives to enhance clinical outcomes and healthcare delivery. Improved throughput and earnings due to patient prediction. Furthermore, the growing popularity of reduced healthcare expenditures increased pressure to deliver excellent treatment and control healthcare expenses. With an emphasis on e-health cooperation, venture capitalist investments are further expected to drive the global healthcare prescriptive analytics market.
However, the scarcity of data scientists and analysts and the high costs associated with analytics are majorly hindering the growth rate of the global healthcare prescriptive analytics market. Though AI is now used to assist real doctors, computers will soon be able to replace them entirely. The impact of ongoing technological improvements on decision-making. With the machine, there are moral hazards and human intervention points. Lack of regulation, algorithmic bias, privacy concerns, and data security further restrict the global healthcare prescriptive analytics market.
Impact of COVID-19 on the global healthcare prescriptive analytics market:
Growing cases of coronavirus globally, rising healthcare IT technology due to lockdown and social distancing and remote monitoring health. Predictive models help estimate the number of COVID-19 cases and deaths, the resources needed, such as hospital patient beds and ICU beds, and supply-demand, such as personal protective equipment (PPE). However, because COVID-19 predictive models must rely on a quickly changing scenario and underlying data, the outcomes may alter over time as the data is updated and amended.
The novel coronavirus (COVID-19) and the disease it produces have impacted almost every societal activity on the planet. The COVID-19 Index, developed by the National Minority Quality Forum (NMQF), is a predictive analytics tool that can assist leaders in planning for future coronavirus outbreaks. When used in healthcare, it can help avoid epidemics, cure diseases, cut expenditures, and analyze specific health data from a community (or an individual). Big Data Has a Promising Future in Healthcare. The program might assist government agencies and other officials in improving and speeding up response times and healthcare companies to prepare for higher patient numbers. It is being forced to adjust due to critical supply disruptions, job and financial insecurity, and shortages of medical supplies, food, and key services. Analytics delivers fresh insights based on vast volumes of data to limit the rise in new cases and meet society's requirements. SAS began using the fast-flowing flood of data from China, then from around the world, in the early days of the coronavirus outbreak to depict the distribution and impacts of COVID-19 on the global population. Innovative automation like computer vision (deep learning, machine learning, artificial intelligence) and medical imaging (computed tomography, X-Ray) have produced a potential solution against COVID-19 in this situation.
Market Size Available
2022 to 2028
2023 to 2028
By Product, Application, Deployment, and Region
Various Analyses Covered
Global, Regional & Country Level Analysis, Segment-Level Analysis, Drivers, Restraints, Opportunities, Challenges, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities
North America, Europe, Asia Pacific, Latin America, Middle East & Africa
This research report on the global healthcare prescriptive analytics market has been segmented and sub-segmented based on the product, application, deployment, and region.
Healthcare Prescriptive Analytics Market – By Product:
Based on the product, the software segment is anticipated to grow at the highest CAGR and account for the major share of the worldwide market during the forecast period. The healthcare provider processes and interprets patient data, electronic health records, medical imaging, clinical data trials, and other pertinent data using software solutions created expressly for prescriptive analytics. Advanced algorithms, machine learning techniques, and AI technologies are used in these software solutions to recognize patterns, forecast outcomes, and offer actionable advice for healthcare professionals.
The hardware segment is anticipated to account for a considerable share of the global market during the forecast period. The healthcare organization needs a physical infrastructure to store and process the vast volume of data produced by medical imaging systems and electronic health records. The many components of the analytics architecture can transport data and communicate with one another thanks to networking hardware including routers, switches, and firewalls.
Healthcare Prescriptive Analytics Market – By Application:
Based on application, the clinical data analytics segment is predicted to dominate the global market during the forecast period. Huge amounts of data are produced by the healthcare industry from a variety of sources, such as wearable technologies, medical imaging, and genetics. Clinical data analytics can help healthcare organizations make sense of this data and derive useful insights for improving patient care and operational effectiveness. The advancement of data storage, processing speed, and analytics algorithms has greatly assisted the development of clinical data analytics.
The research data analytics segment is anticipated to register a healthy CAGR during the forecast period. Risks connected to patient safety and public health can be identified and reduced with the help of analytics of research data. Prescriptive analytics can identify risk factors and foresee possible negative outcomes by analyzing past data. Healthcare workers can use this information to enhance patient safety procedures, carry out preventive actions, and actively manage population health. The research data analytics market drives the healthcare prescriptive analytics market by enabling healthcare organizations to use data for data-driven decision-making, improved patient outcomes, cost optimization, risk prediction and prevention, medication discovery, and compliance with laws. These analytics capabilities have the potential to transform the way healthcare is delivered and produce more individualized, effective treatment.
Healthcare Prescriptive Analytics Market – By Deployment:
Based on deployment, the cloud-based category is anticipated to grow at the fastest CAGR from 2023 to 2028. The demand for real-time access to both structured and unstructured data to foresee outcomes for decision-making, the prevalence of cybercrimes propels the segmental growth. The popularity of cloud-based deployment is a result of its scalability, flexibility, and cheaper initial cost.
On the other hand, the on-premises segment is also anticipated to progress at a constant CAGR during the forecast period owing to the benefits offered by the on-premises segment such as data control, security, and customization.
Healthcare Prescriptive Analytics Market – By Region:
The North American region had the largest share of the global market in 2022. The North American market is expected to lead the market during the forecast period due to factors such as increased internet usage and advancements in technology. The rapid adoption of technological advancements such as cutting-edge technology like big data and the Internet of things further contributes to the North American market growth.
During the forecast period, the Asia-Pacific region is also anticipated to develop at the quickest CAGR. Many countries in the Asia-Pacific region are actively promoting the digitalization of healthcare systems. A few of the programs that are producing a ton of data are health information exchanges (HIEs), telemedicine, and electronic health records (EHRs). This data can be used by prescriptive analytics to identify trends, predict outcomes, and provide healthcare practitioners with actionable insights, leading to better decision-making and individualized care. The prevalence of chronic diseases like diabetes, heart disease, and cancer is significantly increasing throughout the Asia-Pacific region. By identifying high-risk patients, streamlining treatment plans, and using prescriptive analytics to forecast the course of the condition, healthcare providers can better manage chronic illnesses.
The European market for healthcare prescriptive analytics is also estimated to grow at a consistent CAGR during the forecast period. Europe's strict data protection rules and standards, such as the General Data Protection Regulation, guarantee the privacy and security of medical data. These guidelines provide a framework for the ethical and responsible use of patient data in analytics, fostering trust and encouraging the adoption of prescriptive analytics solutions. Many European countries have invested in schemes for digital health and updating the healthcare infrastructure. This element helps the Europe region's market for prescriptive analytics in healthcare flourish.
Latin America is predicted to hold a considerable share of the worldwide market during the forecast period. Governments in Latin America are becoming conscious of the importance of utilizing technology and analytics to improve healthcare delivery. In a few of the countries in the region, investments in digital health infrastructure and government-led healthcare IT schemes have been made. In these regions, prescriptive analytics solutions are more accessible.
The MEA healthcare prescriptive analytics market is anticipated to grow at a steady CAGR during the forecast period. The market is expected to expand at a strong CAGR for the duration of the forecast period. Prescriptive analytics is being used more frequently in the MEA region because of collaborations between public and private healthcare organizations.
KEY MARKET PARTICIPANTS:
A few of the notable companies operating in the global healthcare prescriptive analytics market covered in this report are IBM, Cerner Corporation, SAS Institute Inc., Allscripts Healthcare Solution, Mckesson Corporation, Optium Inc., Medeanalytics Inc., Verisk Analysts, Inc., and Oracle Corporation.
RECENT HAPPENINGS IN THE MARKET:
Geographically, North America and APAC are predicted to progress at a brisk pace in the upcoming years.
IBM, Cerner Corporation, SAS Institute Inc., Allscripts Healthcare Solution, Mckesson Corporation, Optium Inc., Medeanalytics Inc., Verisk Analysts, Inc. Oracle Corporation are a few of the prominent players in the global healthcare prescriptive analytics market.
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