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市场调查报告书

商品编码

1609807

2025-2033 年日本资料科学平台市场报告（按组件、应用、垂直产业和地区）

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个工作天内

价格

简介目录

2024 年日本资料科学平台IMARC Group规模达到 43 亿美元。医疗保健产业对资料科学平台的采用不断增加，不同企业对基于云端的解决方案的需求不断增长，以及先进技术不断融入资料科学平台，这些都是推动市场成长的主要因素。

资料科学平台包含广泛的基础设施，其中包括软体和硬体元件，提供必要的工具、技术和资源来促进资料科学工作流程的各个阶段。数据科学是一门多方面的学科，涵盖资料收集、资料清理、资料分析和资料解释等任务，所有这些任务都旨在提取有价值的见解并支持数据驱动的决策。这些平台提供了一系列功能，包括资料提取、转换和载入 (ETL) 工具，以及支援存取不同资料来源（例如资料库、资料仓储、API 等）的连接器。此外，他们还提供了广泛的机器学习演算法和建模工具，用于建立预测和描述模型。

日本数据科学平台市场趋势：

目前，日本资料科学平台市场的成长主要是由于医疗保健行业的不断采用，这些平台有效地管理、分析和整合大量结构化和非结构化资料。此外，全球不同的商业实体越来越倾向于基于云端的解决方案，这有助于创造有利的市场环境。此外，人们对具有成本效益和高效的决策工具的广泛需求不断增长。这种不断增长的需求，加上增强企业分析和生产力的资料科学平台的广泛使用，正在推动市场扩张。此外，人工智慧 (AI)、物联网 (IoT) 和机器学习 (ML) 融入资料科学平台正在为产业参与者创造光明的成长前景。除此之外，对资料科学平台日益增长的需求正在对市场产生积极影响，数据科学平台提供统一、整合的方法来建立、管理和优化企业预测模型。此外，由于巨量资料技术的发展，对资料科学平台的需求激增也促进了市场的成长。此外，由于银行服务使用量的增加，BFSI 产业对资料科学平台的需求增加，预计将在预测期内加强日本的市场扩张。

日本数据科学平台市场细分：

组件见解：

软体
服务

应用见解：

行销与销售
后勤
财会
客户支援
其他的

垂直洞察：

资讯科技和电信
卫生保健
BFSI
製造业
零售与电子商务
其他的

竞争格局：

市场研究报告也对竞争格局进行了全面分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪表板和公司评估象限等竞争分析。此外，也提供了所有主要公司的详细资料。

本报告回答的关键问题：

日本资料科学平台市场到目前为止表现如何，未来几年又将如何表现？
COVID-19 对日本资料科学平台市场有何影响？
日本资料科学平台市场按组件划分是怎样的？
日本资料科学平台市场在应用上的细分如何？
日本资料科学平台市场的垂直细分是怎么样的？
日本资料科学平台市场价值链的各个阶段是什么？
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如何？
日本资料科学平台市场的竞争程度如何？

本报告回答的关键问题：

日本资料科学平台市场到目前为止表现如何，未来几年又将如何表现？
COVID-19 对日本资料科学平台市场有何影响？
日本资料科学平台市场按组件划分是怎样的？
日本资料科学平台市场在应用上的细分如何？
日本资料科学平台市场的垂直细分是怎么样的？
日本资料科学平台市场价值链的各个阶段是什么？
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如何？
日本资料科学平台市场的竞争程度如何？

行销与销售
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
后勤
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
财会
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
客户支援
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
其他的
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）

第 8 章：日本资料科学平台市场 - 细分：按垂直领域

资讯科技和电信
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
卫生保健
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
BFSI
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
製造业
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
零售与电子商务
- 概述
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）
其他的
- 历史与当前市场趋势（2019-2024）
- 市场预测（2025-2033）

第 9 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
竞争仪表板
公司评估象限

第 10 章：关键参与者简介

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：日本资料科学平台市场 - 产业分析

驱动因素、限制因素和机会
- 概述
- 司机
- 限制
- 机会
波特五力分析
- 概述
- 买家的议价能力
- 供应商的议价能力
- 竞争程度
- 新进入者的威胁
- 替代品的威胁
价值链分析

第 12 章：附录

简介目录

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