Rapport d’analyse de la taille, de la part et des tendances du marché mondial de l’analyse des soins de santé – Aperçu du secteur et prévisions jusqu’en 2031

Analyse du marché de l'analyse des soins de santé  

Le marché de l’analyse des données médicales connaît une croissance considérable, propulsée par les progrès des technologies de collecte et d’analyse des données. Ces dernières années, des développements tels que l’intégration de l’intelligence artificielle (IA) et de l’apprentissage automatique (ML) ont révolutionné la façon dont les organisations de soins de santé analysent de vastes quantités de données, permettant des prévisions plus précises et des processus de prise de décision améliorés. Des investissements notables dans des plateformes d’analyse basées sur le cloud ont encore amélioré l’accessibilité et l’évolutivité, permettant aux prestataires de soins de santé d’exploiter les données en temps réel pour une efficacité opérationnelle. En outre, les changements réglementaires favorisant l’interopérabilité entre les dossiers médicaux électroniques (DME) ont facilité le partage transparent des données entre les organisations, contribuant à une meilleure compréhension des soins aux patients et de la santé de la population. Par exemple, l’émergence de solutions d’analyse avancées permet aux systèmes de santé d’identifier des modèles de comportement des patients et des résultats des traitements, ce qui conduit à des stratégies de soins plus efficaces. Alors que les organisations de soins de santé privilégient de plus en plus les approches basées sur les données, la demande de solutions d’analyse sophistiquées continuera d’augmenter, façonnant l’avenir de la prestation et de la gestion des soins de santé.

Taille du marché de l'analyse des soins de santé

Français La taille du marché mondial de l'analyse des soins de santé était évaluée à 28,43 milliards USD en 2023 et devrait atteindre 164,97 milliards USD d'ici 2031, avec un TCAC de 24,58 % au cours de la période de prévision de 2024 à 2031. En plus des informations sur les scénarios de marché tels que la valeur marchande, le taux de croissance, la segmentation, la couverture géographique et les principaux acteurs, les rapports de marché organisés par Data Bridge Market Research comprennent également une analyse approfondie des experts, l'épidémiologie des patients, l'analyse du pipeline, l'analyse des prix et le cadre réglementaire.

Tendances du marché de l'analyse des soins de santé

« Adoption croissante de l’analyse prédictive »

Le marché de l’analyse des soins de santé connaît une croissance significative, stimulée par la demande croissante de prise de décision basée sur les données et la nécessité d’améliorer les résultats des patients. Une tendance notable est l’adoption croissante de l’analyse prédictive, qui utilise des données historiques et des algorithmes avancés pour prévoir les risques pour la santé des patients et les résultats des traitements. Par exemple, les prestataires de soins de santé utilisent de plus en plus l’analyse prédictive pour identifier les patients à risque de réadmission à l’hôpital, ce qui permet des interventions ciblées qui peuvent réduire les taux de réadmission et améliorer la qualité globale des soins. À mesure que les organisations intègrent l’analyse prédictive dans leurs flux de travail, elles peuvent améliorer la prise de décision clinique, rationaliser les opérations et, en fin de compte, obtenir de meilleurs résultats pour les patients, se positionnant ainsi pour réussir dans un paysage de soins de santé de plus en plus centré sur les données.

Portée du rapport et segmentation du marché de l'analyse des soins de santé

Healthcare Analytics Market Definition

Healthcare analytics refers to the systematic collection, analysis, and interpretation of health data to improve patient outcomes, optimize operational efficiency, and enhance decision-making in healthcare organizations. By leveraging various data sources such as electronic health records (EHRs), patient surveys, clinical trials, and claims data healthcare analytics aims to identify trends, predict patient needs, and inform strategic planning. This field encompasses different types of analytics, including descriptive, predictive, and prescriptive analytics, enabling stakeholders to make data-driven decisions that enhance the quality of care, reduce costs, and improve overall healthcare delivery.

Healthcare Analytics Market Dynamics

Drivers

• Rising Need for Cost Reduction

The rising need for cost reduction in healthcare is prompting organizations to adopt advanced analytics tools to enhance operational efficiency while maintaining high-quality care. As healthcare costs continue to escalate, providers are increasingly pressured to find innovative solutions to minimize expenses without compromising patient outcomes. Analytics tools play a crucial role in this process by identifying inefficiencies within clinical workflows and resource utilization. For instance, hospitals can leverage predictive analytics to analyze patient admission patterns and optimize staff scheduling, ensuring that adequate personnel are available during peak times without overstaffing during quieter periods.  By harnessing the power of analytics, healthcare organizations can uncover hidden costs, improve decision-making, and implement targeted cost-saving measures, ultimately driving the market for further expansion.

• Increasing Volume of Healthcare Data

The increasing volume of healthcare data is driving a significant demand for advanced analytics solutions capable of processing and interpreting vast amounts of information effectively. With the proliferation of electronic health records (EHRs), wearable health technology, and real-time patient monitoring devices, healthcare organizations are inundated with data from various sources, including clinical notes, lab results, and patient-generated data. For instance, the integration of wearable devices such as smartwatches and fitness trackers allows healthcare providers to collect continuous health data, such as heart rate and activity levels. By utilizing healthcare data analytics, providers can identify patterns and trends that may indicate early signs of health deterioration, enabling proactive interventions. As the data landscape expands, the need for sophisticated analytics capabilities becomes crucial for improving patient outcomes, thereby creating opportunities in the healthcare analytics market.

Opportunities

• Rapid Expansion of Telehealth Services

The rapid expansion of telehealth services has created substantial opportunities for analytics to enhance patient monitoring and engagement, facilitating real-time data analysis that informs treatment adjustments and boosts patient satisfaction. By integrating analytics into telehealth platforms, healthcare providers can continuously track vital signs and health metrics, enabling proactive intervention when patients exhibit concerning trends. For instance, Teladoc Health utilizes analytics in its telehealth services to monitor patients with chronic conditions such as diabetes and hypertension. By analyzing real-time data from wearable devices and remote monitoring tools, healthcare providers can identify fluctuations in patient health and intervene swiftly, adjusting medications or recommending lifestyle changes as needed. Furthermore, the ability to analyze engagement patterns through telehealth platforms allows providers to refine their services and enhance the overall patient experience, making telehealth a significant opportunity for market players to capitalize on.

• Growing Technological Advancements in AI and ML

Technological advancements in artificial intelligence (AI), machine learning (ML), and big data analytics are revolutionizing the healthcare analytics landscape, leading to the development of increasingly sophisticated tools that enhance clinical decision-making and patient care. These innovations enable predictive analytics, which allows healthcare providers to forecast patient outcomes and proactively address health issues before they escalate. For instance, AI algorithms can analyze historical patient data to identify those at high risk for conditions such as diabetes or heart disease, facilitating timely interventions and personalized treatment plans. For instance, collaboration between Mount Sinai Health System and Google Cloud, where they employed AI-driven analytics to predict patient deterioration and hospital readmission rates. By utilizing ML algorithms to analyze a vast array of clinical data, including EHRs and patient demographics, Mount Sinai has improved its ability to deliver personalized medicine tailored to individual patient needs. As healthcare organizations increasingly adopt these advanced technologies, they can enhance operational efficiencies, reduce costs, and ultimately tapping into the opportunities provided by the technological innovations.

Restraints/Challenges

• Lack of Skilled Professionals

The skill shortage in the healthcare analytics market poses a significant challenge, as there is a marked deficiency of professionals proficient in data analytics, data science, and healthcare informatics. This gap limits healthcare organizations' ability to effectively implement and utilize analytics solutions, resulting in missed opportunities for improving patient care and operational efficiency. For instance, a hospital may invest in advanced analytics tools to predict patient admissions and optimize resource allocation; however, without trained data scientists and analysts who can interpret the data and derive actionable insights, the organization may struggle to leverage these tools fully. As a result, the lack of skilled professionals hampers the analytics initiatives and stifles innovation and progress within the healthcare sector, making it a critical challenge that needs addressing to harness the full potential of healthcare analytics.

• Data Privacy and Security Concerns

Data privacy and security concerns pose a significant market challenge in the global healthcare analytics landscape, primarily due to the sensitive nature of patient information. Healthcare organizations must navigate stringent regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe, which dictate how patient data should be managed and safeguarded. Non-compliance with these regulations can lead to severe legal and financial consequences, creating a reluctance among organizations to fully embrace advanced analytics solutions. A pertinent example is the 2020 data breach at Universal Health Services, which resulted in the exposure of sensitive patient information and led to substantial financial losses as well as reputational damage for the organization, ultimately affecting the market's growth potential.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Healthcare Analytics Market Scope

The market is segmented on the basis of type, component, delivery model, application, and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Type

• Prescriptive Analytics
• Predictive Analytics
• Descriptive Analytics

Component

• Services
• Software
• Hardware

Delivery Model

• On-Demand
• On-Premise

Application

• Clinical Analytics
• Population Health Analytics
• Operational and Administrative Analytics
• Financial Analytics

End User

• Healthcare Payers
• Healthcare Providers
• Accountable Care Organizations (ACOs)
• Health Insurance Exchanges (HIEs)
• Managed Care Organizations (MCOs)
• Third-Party Administrators (TPAs)

Healthcare Analytics Market Regional Analysis

The market is analysed and market size insights and trends are provided by country, type, component, delivery model, application, and end user as referenced above.

The countries covered in the market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E., South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America leads the healthcare analytics market, primarily due to its aging population and the rising incidence of chronic diseases in the region. The growing demand for effective healthcare management solutions is driven by the need to address the complexities associated with managing chronic conditions among older adults. In addition, advanced healthcare infrastructure and significant investments in technology further bolster the region's dominance in healthcare analytics.

Asia-Pacific (APAC) region is anticipated to experience substantial growth from 2022 to 2029, driven by the increasing adoption of advanced analytical solutions across various sectors. This trend is fueled by the rising demand for data-driven insights to enhance decision-making and operational efficiency in healthcare, finance, and other industries. Moreover, supportive government initiatives and investments in digital transformation are further propelling the region's progress in leveraging analytics for improved outcomes.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.  

Healthcare Analytics Market Share

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to market.

Healthcare Analytics Market Leaders Operating in the Market Are:

• IBM (U.S.)
• Wipro (India)
• Veradigm LLC (U.S.)
• Health Catalyst (U.S.)
• Inovalon (U.S.)
• MCKESSON CORPORATION (U.S.)
• MedeAnalytics, Inc. (U.S.)
• Optum, Inc. (U.S.)
• Oracle (U.S.)
• SAS Institute Inc. (U.S.)
• ExlService Holdings, Inc. (U.S.)
• CitiusTech Inc (U.S.)
• IQVIA (U.S.)
• General Electric Company (U.S.)

Latest Developments in Healthcare Analytics Market

• 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 enables Syntellis to enhance its offerings for healthcare organizations by providing advanced data and intelligence solutions aimed at improving operational efficiency, financial performance, and strategic growth planning. Through this integration, Syntellis aims to empower healthcare providers with the insights needed to navigate an increasingly complex industry landscape
• In July 2021, IBM announced its acquisition of Bluetab Solutions Group, S.L. to enhance its offerings in data services and hybrid cloud computing. This strategic move aims to strengthen IBM's presence in Europe and Latin America, allowing the company to leverage Bluetab’s expertise in data analytics and cloud solutions. By integrating Bluetab’s capabilities, IBM intends to provide more comprehensive services to its clients in these growing markets
• In April 2021, Cerner Corporation revealed its acquisition of Kantar Health, a strategic decision aimed at merging data analytics and research proficiency. This collaboration seeks to innovate and commercialize cutting-edge life science solutions that can improve patient outcomes and healthcare delivery. By combining their strengths, Cerner and Kantar Health aim to create a powerful platform for advancing healthcare insights and data utilization
• In April 2021, Microsoft Corp announced its merger agreement with Nuance Communications Inc. focusing on integrating both companies' technologies to enhance healthcare solutions. The goal of this acquisition is to harness cloud and artificial intelligence capabilities, ultimately improving efficiency and patient care across the healthcare sector. By combining their resources, Microsoft and Nuance aim to drive innovation and digital transformation in healthcare environments
• En janvier 2021, Optum et Change Healthcare ont annoncé un partenariat stratégique visant à améliorer leur plateforme de soins de santé basée sur la technologie. Cette collaboration vise à combiner leurs capacités en matière de logiciels et d'analyse de données, afin de fournir des solutions technologiques avancées aux consommateurs de soins de santé. En travaillant ensemble, Optum et Change Healthcare entendent améliorer l'efficacité opérationnelle et fournir aux parties prenantes de meilleures informations sur les données de santé

SKU-24761