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市場調查報告書
商品編碼
1905407

日本資料科學平台市場報告（按組件、應用、垂直產業和地區分類，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個工作天內

價格
簡介目錄

2025年，日本資料科學平台市場規模達49億美元。展望未來， IMARC Group預計到2034年，該市場規模將達到153億美元，2026年至2034年間的複合年成長率（CAGR）為13.49%。推動市場成長的主要因素包括：醫療保健產業對資料科學平台的日益普及、各行各業對雲端解決方案需求的不斷成長，以及先進技術在資料科學平台中的應用。

本報告解答的關鍵問題：

  • 日本資料科學平台市場目前表現如何？未來幾年又將如何發展？
  • 新冠疫情對日本資料科學平台市場產生了哪些影響？
  • 日本資料科學平台市場按組件分類的組成是怎樣的？
  • 日本資料科學平台市場按應用領域分類的組成是怎樣的？
  • 日本資料科學平台市場依垂直產業分類的組成是怎樣的？
  • 日本資料科學平台市場價值鏈的各個階段有哪些？
  • 日本資料科學平台的關鍵促進因素和挑戰是什麼？
  • 日本資料科學平台市場的結構是怎麼樣的？主要參與者有哪些？
  • 日本資料科學平台市場的競爭程度如何？

目錄

第1章：序言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 數據來源
  • 市場估算
  • 預測方法

第3章：執行概要

第4章：日本資料科學平台市場－簡介

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭情報

第5章：日本資料科學平台市場概況

  • 歷史及當前市場趨勢（2020-2025）
  • 市場預測（2026-2034）

第6章：日本數據科學平台市場－按組件細分

  • 軟體
  • 服務

第7章：日本資料科學平台市場－依應用領域分類

  • 行銷與銷售
  • 後勤
  • 財會
  • 客戶支援
  • 其他

第8章：日本數據科學平台市場－按垂直產業細分

  • 資訊科技和電信
  • 衛生保健
  • 金融服務業
  • 製造業
  • 零售與電子商務
  • 其他

第9章：日本數據科學平台市場——按地區分類

  • 關東地區
  • 關西/近畿地區
  • 中部/中部地區
  • 九州·沖繩地區
  • 東北部地區
  • 中國地區
  • 北海道地區
  • 四國地區

第10章：日本數據科學平台市場－競爭格局

  • 概述
  • 市場結構
  • 市場參與者定位
  • 最佳制勝策略
  • 競爭格局分析
  • 公司評估象限

第11章：關鍵參與者簡介

第12章：日本資料科學平台市場－產業分析

  • 促進因素、限制因素和機遇
  • 波特五力分析
  • 價值鏈分析

第13章：附錄

簡介目錄
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