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封面
市场调查报告书
商品编码
1905407

日本资料科学平台市场报告（按组件、应用、垂直产业和地区划分，2026-2034 年）

Japan Data Science Platform Market Report by Component, Application, Vertical, and Region 2026-2034
出版日期: | 出版商: IMARC | 英文 119 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2025年，日本资料科学平台市场规模达49亿美元。展望未来， IMARC Group预计到2034年，该市场规模将达到153亿美元，2026年至2034年间的复合年增长率（CAGR）为13.49%。推动市场成长的主要因素包括：医疗保健产业对资料科学平台的日益普及、各行各业对云端解决方案需求的不断增长，以及先进技术在资料科学平台中的应用。

本报告解答的关键问题：

  • 日本资料科学平台市场目前表现如何？未来几年又将如何发展？
  • 新冠疫情对日本资料科学平台市场产生了哪些影响？
  • 日本资料科学平台市场按组件分類的组成是怎样的？
  • 日本资料科学平台市场按应用领域分類的组成是怎样的？
  • 日本资料科学平台市场依垂直产业分類的组成是怎样的？
  • 日本资料科学平台市场价值链的各个阶段有哪些？
  • 日本资料科学平台的关键驱动因素和挑战是什么？
  • 日本资料科学平台市场的结构是怎么样的？主要参与者有哪些？
  • 日本资料科学平台市场的竞争程度如何？

目录

第一章：序言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 数据来源
  • 市场估算
  • 预测方法

第三章：执行概要

第四章：日本资料科学平台市场－简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章：日本资料科学平台市场概况

  • 历史及当前市场趋势（2020-2025）
  • 市场预测（2026-2034）

第六章：日本数据科学平台市场－按组件细分

  • 软体
  • 服务

第七章：日本资料科学平台市场－依应用领域划分

  • 行销与销售
  • 后勤
  • 财会
  • 客户支援
  • 其他的

第八章：日本数据科学平台市场－按垂直产业细分

  • 资讯科技和电信
  • 卫生保健
  • 金融服务业
  • 製造业
  • 零售与电子商务
  • 其他的

第九章：日本数据科学平台市场——按地区划分

  • 关东地区
  • 关西/近畿地区
  • 中部/中部地区
  • 九州·冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

第十章：日本数据科学平台市场－竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争格局分析
  • 公司评估象限

第十一章：关键参与者简介

第十二章：日本资料科学平台市场－产业分析

  • 驱动因素、限制因素和机会
  • 波特五力分析
  • 价值链分析

第十三章：附录

简介目录
Product Code: SR112026A18765

Japan data science platform market size reached USD 4.9 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 15.3 Billion by 2034, exhibiting a growth rate (CAGR) of 13.49% during 2026-2034. Increased adoption of data science platforms within the healthcare sector, the escalating need for cloud-based solutions across diverse businesses, and the growing infusion of advanced technologies into data science platforms are among the primary factors propelling market growth.

A data science platform comprises an extensive infrastructure encompassing software and hardware components, offering the essential tools, technologies, and resources to facilitate various stages of the data science workflow. Data science is a multifaceted discipline that encompasses tasks such as data collection, data cleansing, data analysis, and data interpretation, all aimed at extracting valuable insights and supporting data-driven decision-making. These platforms provide an array of capabilities, including tools for data extraction, transformation, and loading (ETL), along with connectors enabling access to diverse data sources such as databases, data warehouses, APIs, and more. Moreover, they furnish a wide spectrum of machine learning algorithms and modeling tools for constructing predictive and descriptive models.

Japan Data Science Platform Market Trends:

Presently, the growth of the data science platform market in Japan is primarily steered by the escalating adoption within the healthcare sector, where these platforms efficiently manage, analyze, and integrate substantial volumes of both structured and unstructured data. Additionally, there is an increasing preference for cloud-based solutions across diverse global business entities, contributing to a favorable market environment. Furthermore, there is a rising demand for cost-effective and efficient decision-making tools on a wide scale. This growing demand, combined with the expanding use of data science platforms that enhance enterprise analysis and productivity, is driving market expansion. Moreover, the incorporation of artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) into data science platforms is creating promising growth prospects for industry participants. Besides this, the increasing need for data science platforms, which offer a unified and integrated approach to constructing, managing, and optimizing predictive models for businesses, is positively impacting the market. Furthermore, the surging demand for data science platforms due to the evolution of big data technologies is contributing to market growth. Moreover, the heightened requirement for data science platforms within the BFSI sector, driven by the increased use of banking services, is expected to reinforce market expansion in Japan over the forecasted period.

Japan Data Science Platform Market Segmentation:

Component Insights:

  • Software
  • Services

Application Insights:

  • Marketing and Sales
  • Logistics
  • Finance and Accounting
  • Customer Support
  • Others

Vertical Insights:

  • IT and Telecommunication
  • Healthcare
  • BFSI
  • Manufacturing
  • Retail and E-Commerce
  • Others

Regional Insights:

  • nto Region
  • Kansai/Kinki Region
  • Central/ Chubu Region
  • Kyushu-Okinawa Region
  • Tohoku Region
  • Chugoku Region
  • Hokkaido Region
  • Shikoku Region
  • The report has also provided a comprehensive analysis of all the major regional markets, which include Kanto Region, Kansai/Kinki Region, Central/ Chubu Region, Kyushu-Okinawa Region, Tohoku Region, Chugoku Region, Hokkaido Region, and Shikoku Region.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Key Questions Answered in This Report:

  • How has the Japan data science platform market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan data science platform market?
  • What is the breakup of the Japan data science platform market on the basis of component?
  • What is the breakup of the Japan data science platform market on the basis of application?
  • What is the breakup of the Japan data science platform market on the basis of vertical?
  • What are the various stages in the value chain of the Japan data science platform market?
  • What are the key driving factors and challenges in the Japan data science platform?
  • What is the structure of the Japan data science platform market and who are the key players?
  • What is the degree of competition in the Japan data science platform market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Japan Data Science Platform Market - Introduction

  • 4.1 Overview
  • 4.2 Market Dynamics
  • 4.3 Industry Trends
  • 4.4 Competitive Intelligence

5 Japan Data Science Platform Market Landscape

  • 5.1 Historical and Current Market Trends (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Data Science Platform Market - Breakup by Component

  • 6.1 Software
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Services
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)

7 Japan Data Science Platform Market - Breakup by Application

  • 7.1 Marketing and Sales
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 Logistics
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)
  • 7.3 Finance and Accounting
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2020-2025)
    • 7.3.3 Market Forecast (2026-2034)
  • 7.4 Customer Support
    • 7.4.1 Overview
    • 7.4.2 Historical and Current Market Trends (2020-2025)
    • 7.4.3 Market Forecast (2026-2034)
  • 7.5 Others
    • 7.5.1 Historical and Current Market Trends (2020-2025)
    • 7.5.2 Market Forecast (2026-2034)

8 Japan Data Science Platform Market - Breakup by Vertical

  • 8.1 IT and Telecommunication
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 Healthcare
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)
  • 8.3 BFSI
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2020-2025)
    • 8.3.3 Market Forecast (2026-2034)
  • 8.4 Manufacturing
    • 8.4.1 Overview
    • 8.4.2 Historical and Current Market Trends (2020-2025)
    • 8.4.3 Market Forecast (2026-2034)
  • 8.5 Retail and E-Commerce
    • 8.5.1 Overview
    • 8.5.2 Historical and Current Market Trends (2020-2025)
    • 8.5.3 Market Forecast (2026-2034)
  • 8.6 Others
    • 8.6.1 Historical and Current Market Trends (2020-2025)
    • 8.6.2 Market Forecast (2026-2034)

9 Japan Data Science Platform Market - Breakup by Region

  • 9.1 Kanto Region
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2020-2025)
    • 9.1.3 Market Breakup by Component
    • 9.1.4 Market Breakup by Application
    • 9.1.5 Market Breakup by Vertical
    • 9.1.6 Key Players
    • 9.1.7 Market Forecast (2026-2034)
  • 9.2 Kansai/Kinki Region
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Breakup by Component
    • 9.2.4 Market Breakup by Application
    • 9.2.5 Market Breakup by Vertical
    • 9.2.6 Key Players
    • 9.2.7 Market Forecast (2026-2034)
  • 9.3 Central/ Chubu Region
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2020-2025)
    • 9.3.3 Market Breakup by Component
    • 9.3.4 Market Breakup by Application
    • 9.3.5 Market Breakup by Vertical
    • 9.3.6 Key Players
    • 9.3.7 Market Forecast (2026-2034)
  • 9.4 Kyushu-Okinawa Region
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2020-2025)
    • 9.4.3 Market Breakup by Component
    • 9.4.4 Market Breakup by Application
    • 9.4.5 Market Breakup by Vertical
    • 9.4.6 Key Players
    • 9.4.7 Market Forecast (2026-2034)
  • 9.5 Tohoku Region
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2020-2025)
    • 9.5.3 Market Breakup by Component
    • 9.5.4 Market Breakup by Application
    • 9.5.5 Market Breakup by Vertical
    • 9.5.6 Key Players
    • 9.5.7 Market Forecast (2026-2034)
  • 9.6 Chugoku Region
    • 9.6.1 Overview
    • 9.6.2 Historical and Current Market Trends (2020-2025)
    • 9.6.3 Market Breakup by Component
    • 9.6.4 Market Breakup by Application
    • 9.6.5 Market Breakup by Vertical
    • 9.6.6 Key Players
    • 9.6.7 Market Forecast (2026-2034)
  • 9.7 Hokkaido Region
    • 9.7.1 Overview
    • 9.7.2 Historical and Current Market Trends (2020-2025)
    • 9.7.3 Market Breakup by Component
    • 9.7.4 Market Breakup by Application
    • 9.7.5 Market Breakup by Vertical
    • 9.7.6 Key Players
    • 9.7.7 Market Forecast (2026-2034)
  • 9.8 Shikoku Region
    • 9.8.1 Overview
    • 9.8.2 Historical and Current Market Trends (2020-2025)
    • 9.8.3 Market Breakup by Component
    • 9.8.4 Market Breakup by Application
    • 9.8.5 Market Breakup by Vertical
    • 9.8.6 Key Players
    • 9.8.7 Market Forecast (2026-2034)

10 Japan Data Science Platform Market - Competitive Landscape

  • 10.1 Overview
  • 10.2 Market Structure
  • 10.3 Market Player Positioning
  • 10.4 Top Winning Strategies
  • 10.5 Competitive Dashboard
  • 10.6 Company Evaluation Quadrant

11 Profiles of Key Players

  • 11.1 Company A
    • 11.1.1 Business Overview
    • 11.1.2 Services Offered
    • 11.1.3 Business Strategies
    • 11.1.4 SWOT Analysis
    • 11.1.5 Major News and Events
  • 11.2 Company B
    • 11.2.1 Business Overview
    • 11.2.2 Services Offered
    • 11.2.3 Business Strategies
    • 11.2.4 SWOT Analysis
    • 11.2.5 Major News and Events
  • 11.3 Company C
    • 11.3.1 Business Overview
    • 11.3.2 Services Offered
    • 11.3.3 Business Strategies
    • 11.3.4 SWOT Analysis
    • 11.3.5 Major News and Events
  • 11.4 Company D
    • 11.4.1 Business Overview
    • 11.4.2 Services Offered
    • 11.4.3 Business Strategies
    • 11.4.4 SWOT Analysis
    • 11.4.5 Major News and Events
  • 11.5 Company E
    • 11.5.1 Business Overview
    • 11.5.2 Services Offered
    • 11.5.3 Business Strategies
    • 11.5.4 SWOT Analysis
    • 11.5.5 Major News and Events

12 Japan Data Science Platform Market - Industry Analysis

  • 12.1 Drivers, Restraints, and Opportunities
    • 12.1.1 Overview
    • 12.1.2 Drivers
    • 12.1.3 Restraints
    • 12.1.4 Opportunities
  • 12.2 Porters Five Forces Analysis
    • 12.2.1 Overview
    • 12.2.2 Bargaining Power of Buyers
    • 12.2.3 Bargaining Power of Suppliers
    • 12.2.4 Degree of Competition
    • 12.2.5 Threat of New Entrants
    • 12.2.6 Threat of Substitutes
  • 12.3 Value Chain Analysis

13 Appendix