Japan Healthcare Big Data Analytics Market Size, Share, and COVID-19 Impact Analysis, By Component (Service, Software, and Hardware), By Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Cognitive Analytics), By Application (Financial Analytics, Clinical Analytics, Operational Analytics, and Others), and Japan Healthcare Big Data Analytics Market Insights, Industry Trend, Forecasts to 2035

Industry: Healthcare

RELEASE DATE Jul 2025
REPORT ID SI13410
PAGES 163
REPORT FORMAT PathSoft

Japan Healthcare Big Data Analytics Market Size Insights Forecasts to 2035

  • The Japan Healthcare Big Data Analytics Market Size Was Estimated at USD 2.6 billion in 2024
  • The Market Size is Expected to Grow at a CAGR of around 11.37% from 2025 to 2035
  • The Japan Healthcare Big Data Analytics Market Size is Expected to Reach USD 8.5 Billion by 2035

Japan Healthcare Big Data Analytics Market

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According to a research report published by Spherical Insights & Consulting, the Japan healthcare big data analytics market size is anticipated to reach USD 8.5 billion by 2035, growing at a CAGR of 11.37% from 2025 to 2035. The increasing need for Japan healthcare big data analytics market is growing due to an aging population, rising chronic diseases, adoption of electronic health records (EHR), AI and machine learning evolution, and government initiatives on digital healthcare transformation and predictive analytics.

 

Market Overview

The healthcare big data analytics market in Japan refers to advanced data analysis methods, such as AI and machine learning, to process vast amounts of healthcare data to achieve better patient outcomes, operational effectiveness, and cost control. Predictive analytics, clinical decision support, personalized medicine, and disease management are some key applications. The highly developed healthcare system of Japan, combined with an information digitally literate population, constitutes a healthy ground for big data analytics. Growth opportunities are in the expansion of predictive analytics, preventive care, and consolidating healthcare data across platforms. Drivers of the market include Japan aging population, increased chronic disease, and expanding electronic health records (EHR) usage. Advancements in AI, machine learning, and cloud computing further accelerate market growth by increasing data processing capacity. Government programs like "Society 5.0" and healthcare IT infrastructure investments are focused on catalyzing the rollout of digital health solutions.

 

Report Coverage

This research report categorizes the market for the Japan healthcare big data analytics market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the Japan healthcare big data analytics market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the Japan healthcare big data analytics market.

 

Japan Healthcare Big Data Analytics Market Report Coverage

Report CoverageDetails
Base Year:2024
Market Size in 2024:USD 2.6 Billion
Forecast Period:2025-2035
Forecast Period CAGR 2025-2035 :11.37%
2035 Value Projection:USD 8.5 Billion
Historical Data for:2020-2023
No. of Pages:163
Tables, Charts & Figures:119
Segments covered:By Component, By Analytics Type, By Application and COVID-19 Impact Analysis
Companies covered::NTT Data Corporation, Panasonic Corporation, Fujitsu Limited, Toshiba Corporation, Cybozu, Inc., Oracle Corporation Japan, Teradata Japan, Ltd., Canon Medical Systems Corporation, Hitachi, Ltd., IBM Japan, Ltd., Teradata Japan, Ltd., Salesforce Japan K.K., NEC Corporation, and Other key vendors
Pitfalls & Challenges:COVID-19 Empact, Challenge, Future, Growth, & Analysis

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Driving Factors

The Japan healthcare big data analytics market is driven by the growth of electronic health records (EHR) adoption, increasing healthcare expenditures, and the need for personalized medicine. Advances in machine learning and AI allow for better patient outcomes and operational efficiency. Government policies such as the "Society 5.0" and investments in healthcare IT infrastructure also stimulate the market. Predictive analytics, disease prevention, and healthcare automation are also spurring growth in the sector.

 

Restraining Factors

The Japan healthcare big data analytics market is confronted by issues of data privacy, high cost of implementation, unavailability of standardized formats, and integration problems with existing health systems. Also, there is a lack of professionals restricting the extensive use and adoption.

 

Market Segmentation

The Japan healthcare big data analytics market share is classified into component, analytics type, and application.

 

  • The service segment held the largest market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

The Japan healthcare big data analytics market is segmented by component into service, software, and hardware. Among these, the service segment held the largest market share in 2024 and is expected to grow at a significant CAGR during the forecast period. This is attributed to the essential function of services in deploying, integrating, and managing analytics solutions. The services encompassing consulting, maintenance, support, and training facilitate healthcare organizations to use analytics tools efficiently, ensuring seamless integration, interoperability, and conformity with the prevailing healthcare infrastructure in place.

 

  • The descriptive analytics segment held the largest market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

The Japan healthcare big data analytics market is segmented by analytics type into descriptive analytics, predictive analytics, prescriptive analytics, and cognitive analytics. Among these, the descriptive analytics segment held the largest market share in 2024 and is expected to grow at a significant CAGR during the forecast period. This is due to it assisting in the analysis of past data, the discovery of trends, and the aggregation of vast datasets into practical information for healthcare professionals. It facilitates the monitoring of performance, monitoring patient outcomes, measuring clinical strategies, and assisting in resource allocation by detecting inefficiencies, like redundant procedures or idle equipment, for informed decision-making and operational optimization.

 

  • The clinical analytics segment held the largest market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

The Japan healthcare big data analytics market is segmented by application into financial analytics, clinical analytics, operational analytics, and others. Among these, the clinical analytics segment held the largest market share in 2024 and is expected to grow at a significant CAGR during the forecast period. This is owing to the improved patient care and workflow optimization. Analyzing patient information from EHRs, lab tests, and imaging provides precise diagnoses, tailored treatments, and improved control of chronic diseases. Clinical tools forecast patient outcomes, detect risks, and apply preventive interventions, minimizing complications and hospital admissions.

 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the Japan healthcare big data analytics market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

 

List of Key Companies

  • NTT Data Corporation
  • Panasonic Corporation
  • Fujitsu Limited
  • Toshiba Corporation
  • Cybozu, Inc.
  • Oracle Corporation Japan
  • Teradata Japan, Ltd.
  • Canon Medical Systems Corporation
  • Hitachi, Ltd.
  • IBM Japan, Ltd.
  • Teradata Japan, Ltd.
  • Salesforce Japan K.K.
  • NEC Corporation
  • Others

 

Recent Developments:

  • In June 2024, SoftBank Group partnered with Tempus AI to introduce an AI-driven medical service in Japan, analyzing healthcare data. The initiative, launching in one to two years, will focus initially on cancer trends, expanding to heart conditions, using patient data and hospital images to train AI models for enhanced healthcare services.

 

  • In April 2024, SBC Platforms (BCP) announced a partnership with NTT Life Science Corporation to advance data-driven medicine. A week prior, a ceremony in Tokyo launched a collaborative facility to improve the Japan Precision Medicine Platform™ (JPP). This innovative solution enables secure, nationwide access to clinical data for effective analysis, marking a first in Japan.

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting and Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

Market Segment

This study forecasts revenue at Japan, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the Japan healthcare big data analytics market based on the below-mentioned segments:

 

Japan Healthcare Big Data Analytics Market, By Component

  • Service
  • Software
  • Hardware

 

Japan Healthcare Big Data Analytics Market, By Analytics Type

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Cognitive Analytics

 

Japan Healthcare Big Data Analytics Market, By Application

  • Financial Analytics
  • Clinical Analytics
  • Operational Analytics
  • Others

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