글로벌 헬스케어 분석 시장 규모, 점유율 및 추세 분석 보고서 – 산업 개요 및 2031년까지의 예측

헬스케어 분석 시장 분석  

의료 분석 시장은 데이터 수집 및 분석 기술의 발전으로 인해 상당한 성장을 목격하고 있습니다. 최근 몇 년 동안 인공 지능 (AI) 및 머신 러닝 (ML) 통합과 같은 개발은 의료 기관이 방대한 양의 데이터를 분석하는 방식을 혁신하여 보다 정확한 예측과 개선된 의사 결정 프로세스를 가능하게 했습니다. 클라우드 기반 분석 플랫폼에 대한 주목할 만한 투자는 접근성과 확장성을 더욱 향상시켜 의료 서비스 제공자가 운영 효율성을 위해 실시간 데이터를 활용할 수 있게 했습니다. 또한 전자 건강 기록 (EHR) 간 상호 운용성을 촉진하는 규제 변경으로 인해 조직 간에 원활한 데이터 공유가 가능해져 환자 치료 및 인구 건강에 대한 보다 포괄적인 통찰력이 제공되었습니다. 예를 들어 고급 분석 솔루션의 등장으로 의료 시스템은 환자 행동 및 치료 결과의 패턴을 식별하여 보다 효과적인 치료 전략을 수립할 수 있습니다. 의료 기관이 데이터 중심 접근 방식을 점점 더 우선시함에 따라 정교한 분석 솔루션에 대한 수요는 계속 증가하여 의료 제공 및 관리의 미래를 형성할 것입니다.

헬스케어 분석 시장 규모

글로벌 헬스케어 분석 시장 규모는 2023년에 284억 3천만 달러로 평가되었으며, 2031년까지 1,649억 7천만 달러에 도달할 것으로 예상되며, 2024년에서 2031년까지의 예측 기간 동안 CAGR은 24.58%입니다. Data Bridge Market Research에서 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 세분화, 지리적 범위, 주요 업체와 같은 시장 시나리오에 대한 통찰력 외에도 심층 전문가 분석, 환자 역학, 파이프라인 분석, 가격 분석 및 규제 프레임워크도 포함됩니다.

헬스케어 분석 시장 동향

“ 예측 분석 채택 증가”

의료 분석 시장은 데이터 중심 의사 결정에 대한 수요 증가와 환자 결과 개선 필요성에 따라 상당한 성장을 경험하고 있습니다. 주목할 만한 추세 중 하나는 과거 데이터와 고급 알고리즘을 활용하여 환자 건강 위험과 치료 결과를 예측하는 예측 분석의 채택이 증가하고 있다는 것입니다. 예를 들어, 의료 서비스 제공자는 병원 재입원 위험이 있는 환자를 식별하기 위해 예측 분석을 점점 더 많이 사용하고 있으며, 재입원율을 줄이고 전반적인 치료 품질을 개선할 수 있는 타겟팅된 개입을 허용합니다. 조직이 예측 분석을 워크플로에 통합함에 따라 임상 의사 결정을 개선하고 운영을 간소화하며 궁극적으로 더 나은 환자 결과를 이끌어내 점점 더 데이터 중심적인 의료 환경에서 성공할 수 있는 입지를 굳건히 할 수 있습니다.

보고 범위 및 의료 분석 시장 세분화

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
• 2021년 1월, Optum과 Change Healthcare는 기술 기반 의료 플랫폼을 개선하기 위한 전략적 파트너십을 발표했습니다. 이 협업은 소프트웨어와 데이터 분석 기능을 결합하여 의료 소비자에게 고급 기술 솔루션을 제공하는 것을 목표로 합니다. Optum과 Change Healthcare는 협력을 통해 운영 효율성을 개선하고 이해 관계자에게 의료 데이터에 대한 더 나은 통찰력을 제공하고자 합니다.

SKU-24761