Big Data Analytics in Healthcare Market to Generate $134.9 Billion by 2032 at 16.7% CAGR: Allied Market Research

Big data analytics in healthcare market is driven by one major trend involving predictive analytics, where vast amounts of data, such as patient records, lab results, and treatment histories, are analyzed to forecast potential health issues. This helps in proactive care management, identifying high-risk patients, and preventing complications.


NEW CASTLE, Delaware, Jan. 17, 2024 (GLOBE NEWSWIRE) -- Allied Market Research published a report, titled, “Big Data Analytics in Healthcare Market by Component (Software, and Services), Deployment Mode (On-premises, and Cloud), Application (Clinical Analytics, Financial Analytics, and Operational Analytics), and End-User (Hospitals & Clinics, Finance & Insurance Agencies, and Research Organizations): Global Opportunity Analysis and Industry Forecast, 2023–2032”. According to the report, the global big data analytics in healthcare industry generated $29,659.08 million in 2022 and is anticipated to reach $134,902.9 million by 2032, witnessing a CAGR of 16.7% from 2023 to 2032.  

Prime determinants of growth

The growth of the big data analytics in healthcare market is predominantly fueled by several key determinants. The escalating volume of healthcare data generated through electronic health records (EHRs), wearable devices, and medical imaging demands robust analytics to derive meaningful insights. The ability to harness this vast data trove offers immense potential for improving patient care, treatment efficacy, and operational efficiency within healthcare institutions. In addition, technological advancements play a significant role. Innovations in machine learning, artificial intelligence, and predictive analytics empower healthcare professionals to uncover patterns, predict outcomes, and personalize patient care. These advancements not only streamline decision-making processes but also enable proactive interventions and preventive measures, ultimately enhancing patient outcomes. Furthermore, regulatory shifts and policies around data privacy and interoperability are critical. Adherence to stringent data privacy laws, such as HIPAA in the U.S., ensures patient data security and fosters trust among stakeholders. Moreover, efforts to standardize data formats and enable seamless data exchange between disparate systems pave the way for more comprehensive and cohesive analytics, amplifying its impact on healthcare. Overall, the convergence of exponential data growth, technological prowess, regulatory compliance, and substantial investments collectively propels the growth trajectory of big data analytics within the healthcare industry, promising transformative improvements in patient care and operational efficiency.

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Report coverage & details:

Report Coverage Details
Forecast Period 2023–2032
Base Year 2022
Market Size in 2022 $29,659.08 million
Market Size in 2032 $ 134902.9 million
CAGR 16.7%
No. of Pages in Report 342
Segments Covered Component, Organization Size, Deployment mode, Industry Vertical, and Region.
Drivers Increase in demand for analytics solutions for population health management

Rise in need for business intelligence to optimize health administration & strategy

Surge in adoption of big data among end users in the healthcare industry
Opportunities Increase in inclination toward cloud-based analytics solutions

Emerging trends in healthcare such as telehealth and innovations in genomics
Restraints Security concerns related to sensitive patients’ medical data

Lack of skilled and expert staff

The Hardware segment to maintain its leadership status throughout the forecast period

Based on component, the hardware segment held the highest market share in 2022, accounting for nearly half of the global big data analytics in healthcare market revenue, which is attributed to hardware components in big data analytics in healthcare are responsible for implementing and enforcing security policies across the network. For instance, they can control access based on user roles, device types, or other specified parameters. This prevents unauthorized access and ensures compliance with security protocols. However, the software segment is projected to manifest the highest CAGR of 18.3% from 2023 to 2032, attributable to increase in the adoption of digital technologies across various industries and the availability of desired manufacturing facilities from anywhere at any time.

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The on-premises segment to maintain its leadership status throughout the forecast period 

Based on deployment, the on-premises segment held the highest market share in 2022, accounting for nearly half of the global big data analytics in healthcare market revenue, as big data analytics in healthcare can take various forms, but in an on-premises setup, it typically involves hardware and software solutions that authenticate and authorize devices seeking access to the internal network. This is further done by verifying the identity and compliance of devices before granting access. However, the cloud segment is projected to manifest the highest CAGR of 18.8% from 2022 to 2032, as cloud-based big data analytics in healthcare facilitates flexible access control, especially for remote or mobile users. As a result, with cloud infrastructure, users can securely access the network from anywhere, anytime, using various devices. This is particularly essential in today’s distributed work environments.

The clinical analytics segment to maintain its leadership status throughout the forecast period

Based on application, the clinical analytics segment held the highest market share in 2022, accounting for more than two-fifths of the global big data analytics in healthcare market revenue, as large enterprises often have complex and diverse networks with multiple entry points, various devices, and numerous users. As a result, big data analytics in healthcare solutions help manage and control access across these diverse network environments, ensuring that each user and device is authenticated, authorized, and complies with security policies. However, the operational analytics segment is projected to manifest the highest CAGR of 19.0% from 2023 to 2032. Many SMEs are inclined toward cloud-based big data analytics in healthcare solutions due to their scalability, ease of management, and reduced need for dedicated on-premises hardware. As a result, cloud-based big data analytics in healthcare can be a more feasible option for SMEs with limited resources for infrastructure management.

The hospitals and clinics segment to maintain its leadership status throughout the forecast period 

Based on end user, the hospitals and clinics segment held the highest market share in 2022, accounting for more than two-fifths of the big data analytics in healthcare market revenue, primarily driven by the rise in adoption of secure networks and big data analytics in healthcare in BFSI enables the shift toward digital services, specifically mobile banking, where customers can conduct diverse financial transactions using mobile applications. However, the Research Organizations segment is projected to manifest the highest CAGR of 19.7% from 2022 to 2032, as big data analytics in healthcare helps in identifying potential threats and restricting access for suspicious devices or users, safeguarding the system from potential breaches. Similar to retail, the e-commerce industry deals with a large volume of customer data.

North America to maintain its dominance by 2032

Based on region, North America held the highest market share in terms of revenue in 2022, owing to the increasing activities of data breaches in various sectors. However, the Asia-Pacific region is expected to witness the fastest CAGR of 17.9% from 2023 to 2032 and is projected to dominate the market during the forecast period. In developing countries such as China and India, the adoption of smart technologies such as AI and ML escalates the demand for big data analytics in healthcare market. This is attributed to big data analytics in healthcare systems that are continuously monitored, and performance issues are identified immediately.

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Leading Market Players: -

  • Broadcom
  • Cisco Systems, Inc
  • Extreme Networks
  • Fortinet, Inc.
  • Hewlett Packard Enterprise Development LP
  • Huawei Technologies Co.
  • IBM Corporation
  • Juniper Networks, Inc.
  • Microsoft Corporation
  • VMware, Inc.

The report provides a detailed analysis of these key players in the global big data analytics in healthcare market. These players have adopted different strategies such as expansion, merger, and product launches to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.

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