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商品編碼

1609807

2025-2033 年日本資料科學平台市場報告（按組件、應用、垂直產業和地區）

Japan Data Science Platform Market Report by Component, Application, Vertical, and Region 2025-2033

出版日期: 2024年12月05日 | 出版商:

IMARC | 英文 115 Pages | 商品交期: 5-7個工作天內

價格

簡介目錄

2024 年日本資料科學平台IMARC Group規模達到 43 億美元。醫療保健產業對資料科學平台的採用不斷增加，不同企業對基於雲端的解決方案的需求不斷成長，以及先進技術不斷融入資料科學平台，這些都是推動市場成長的主要因素。

資料科學平台包含廣泛的基礎設施，其中包括軟體和硬體元件，提供必要的工具、技術和資源來促進資料科學工作流程的各個階段。數據科學是一門多方面的學科，涵蓋資料收集、資料清理、資料分析和資料解釋等任務，所有這些任務都旨在提取有價值的見解並支持數據驅動的決策。這些平台提供了一系列功能，包括資料提取、轉換和載入 (ETL) 工具，以及支援存取不同資料來源（例如資料庫、資料倉儲、API 等）的連接器。此外，他們還提供了廣泛的機器學習演算法和建模工具，用於建立預測和描述模型。

日本數據科學平台市場趨勢：

目前，日本資料科學平台市場的成長主要是由於醫療保健行業的不斷採用，這些平台有效地管理、分析和整合大量結構化和非結構化資料。此外，全球不同的商業實體越來越傾向於基於雲端的解決方案，這有助於創造有利的市場環境。此外，人們對具有成本效益和高效的決策工具的廣泛需求不斷成長。這種不斷成長的需求，加上增強企業分析和生產力的資料科學平台的廣泛使用，正在推動市場擴張。此外，人工智慧 (AI)、物聯網 (IoT) 和機器學習 (ML) 融入資料科學平台正在為產業參與者創造光明的成長前景。除此之外，對資料科學平台日益成長的需求正在對市場產生積極影響，數據科學平台提供統一、整合的方法來建立、管理和最佳化企業預測模型。此外，由於巨量資料技術的發展，對資料科學平台的需求激增也促進了市場的成長。此外，由於銀行服務使用量的增加，BFSI 產業對資料科學平台的需求增加，預計將在預測期內加強日本的市場擴張。

日本數據科學平台市場細分：

組件見解：

軟體
服務

應用見解：

行銷與銷售
後勤
財會
客戶支援
其他

垂直洞察：

資訊科技和電信
衛生保健
BFSI
製造業
零售與電子商務
其他

競爭格局：

市場研究報告也對競爭格局進行了全面分析。報告涵蓋了市場結構、關鍵參與者定位、最佳制勝策略、競爭儀表板和公司評估象限等競爭分析。此外，也提供了所有主要公司的詳細資料。

本報告回答的關鍵問題：

日本資料科學平台市場到目前為止表現如何，未來幾年又將如何表現？
COVID-19 對日本資料科學平台市場有何影響？
日本資料科學平台市場按組件分類是怎樣的？
日本資料科學平台市場在應用上的細分如何？
日本資料科學平台市場的垂直細分是怎麼樣的？
日本資料科學平台市場價值鏈的各個階段是什麼？
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如何？
日本資料科學平台市場的競爭程度如何？

本報告回答的關鍵問題：

日本資料科學平台市場到目前為止表現如何，未來幾年又將如何表現？
COVID-19 對日本資料科學平台市場有何影響？
日本資料科學平台市場按組件分類是怎樣的？
日本資料科學平台市場在應用上的細分如何？
日本資料科學平台市場的垂直細分是怎麼樣的？
日本資料科學平台市場價值鏈的各個階段是什麼？
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如何？
日本資料科學平台市場的競爭程度如何？

行銷與銷售
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
後勤
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
財會
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
客戶支援
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
其他
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）

第 8 章：日本資料科學平台市場 - 細分：按垂直領域

資訊科技和電信
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
衛生保健
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
BFSI
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
製造業
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
零售與電子商務
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
其他
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）

第 9 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
競爭儀表板
公司評估象限

第 10 章：關鍵參與者簡介

Company A

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company B

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company C

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company D

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company E

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

第 11 章：日本資料科學平台市場 - 產業分析

促進因素、限制因素和機會
- 概述
- 促進要素
- 限制
- 機會
波特五力分析
- 概述
- 買家的議價能力
- 供應商的議價能力
- 競爭程度
- 新進入者的威脅
- 替代品的威脅
價值鏈分析

第 12 章：附錄

簡介目錄

Product Code: SR112024A18765

Japan data science platform market size reached USD 4.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 14.2 Billion by 2033, exhibiting a growth rate (CAGR) of 14.2% during 2025-2033. 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

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?

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 (2019-2024)
5.2 Market Forecast (2025-2033)

6 Japan Data Science Platform Market - Breakup by Component

6.1 Software
- 6.1.1 Overview
- 6.1.2 Historical and Current Market Trends (2019-2024)
- 6.1.3 Market Forecast (2025-2033)
6.2 Services
- 6.2.1 Overview
- 6.2.2 Historical and Current Market Trends (2019-2024)
- 6.2.3 Market Forecast (2025-2033)

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 (2019-2024)
- 7.1.3 Market Forecast (2025-2033)
7.2 Logistics
- 7.2.1 Overview
- 7.2.2 Historical and Current Market Trends (2019-2024)
- 7.2.3 Market Forecast (2025-2033)
7.3 Finance and Accounting
- 7.3.1 Overview
- 7.3.2 Historical and Current Market Trends (2019-2024)
- 7.3.3 Market Forecast (2025-2033)
7.4 Customer Support
- 7.4.1 Overview
- 7.4.2 Historical and Current Market Trends (2019-2024)
- 7.4.3 Market Forecast (2025-2033)
7.5 Others
- 7.5.1 Historical and Current Market Trends (2019-2024)
- 7.5.2 Market Forecast (2025-2033)

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 (2019-2024)
- 8.1.3 Market Forecast (2025-2033)
8.2 Healthcare
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2019-2024)
- 8.2.3 Market Forecast (2025-2033)
8.3 BFSI
- 8.3.1 Overview
- 8.3.2 Historical and Current Market Trends (2019-2024)
- 8.3.3 Market Forecast (2025-2033)
8.4 Manufacturing
- 8.4.1 Overview
- 8.4.2 Historical and Current Market Trends (2019-2024)
- 8.4.3 Market Forecast (2025-2033)
8.5 Retail and E-Commerce
- 8.5.1 Overview
- 8.5.2 Historical and Current Market Trends (2019-2024)
- 8.5.3 Market Forecast (2025-2033)
8.6 Others
- 8.6.1 Historical and Current Market Trends (2019-2024)
- 8.6.2 Market Forecast (2025-2033)

9 Japan Data Science Platform Market - Competitive Landscape

9.1 Overview
9.2 Market Structure
9.3 Market Player Positioning
9.4 Top Winning Strategies
9.5 Competitive Dashboard
9.6 Company Evaluation Quadrant

10 Profiles of Key Players

10.1 Company A
- 10.1.1 Business Overview
- 10.1.2 Product Portfolio
- 10.1.3 Business Strategies
- 10.1.4 SWOT Analysis
- 10.1.5 Major News and Events
10.2 Company B
- 10.2.1 Business Overview
- 10.2.2 Product Portfolio
- 10.2.3 Business Strategies
- 10.2.4 SWOT Analysis
- 10.2.5 Major News and Events
10.3 Company C
- 10.3.1 Business Overview
- 10.3.2 Product Portfolio
- 10.3.3 Business Strategies
- 10.3.4 SWOT Analysis
- 10.3.5 Major News and Events
10.4 Company D
- 10.4.1 Business Overview
- 10.4.2 Product Portfolio
- 10.4.3 Business Strategies
- 10.4.4 SWOT Analysis
- 10.4.5 Major News and Events
10.5 Company E
- 10.5.1 Business Overview
- 10.5.2 Product Portfolio
- 10.5.3 Business Strategies
- 10.5.4 SWOT Analysis
- 10.5.5 Major News and Events

11 Japan Data Science Platform Market - Industry Analysis

11.1 Drivers, Restraints, and Opportunities
- 11.1.1 Overview
- 11.1.2 Drivers
- 11.1.3 Restraints
- 11.1.4 Opportunities
11.2 Porters Five Forces Analysis
- 11.2.1 Overview
- 11.2.2 Bargaining Power of Buyers
- 11.2.3 Bargaining Power of Suppliers
- 11.2.4 Degree of Competition
- 11.2.5 Threat of New Entrants
- 11.2.6 Threat of Substitutes
11.3 Value Chain Analysis