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市场调查报告书
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1840212

2025年全球资料科学平台市场报告

Data Science Platform Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，资料科学平台市场快速扩张，规模从2024年的1,204.9亿美元成长至2025年的1,537.1亿美元，复合年增长率达27.6%。这段历史时期的成长动力源自于预测分析需求、监管合规要求、开放原始码生态系统的发展、资料复杂性的不断提升以及对资料管治和隐私的日益重视。

预计未来几年资料科学平台市场将呈指数级增长，到 2029 年将达到 4,763.6 亿美元，年复合成长率（CAGR）为 32.7%。预测期内的成长主要得益于非结构化资料的指数级增长、自然语言处理 (NLP) 的进步、跨职能协作平台以及资料科学的民主化。预测期内的主要趋势包括混合多重云端的采用、与商业智慧、资料科学应用的快速成长、持续模型监控和管理、超自动化和流程整合以及协作模型开发和版本控制。

资料科学平台是一种用于分析、组织和传输的软体，旨在帮助企业开发分析模型和管理分析数据。跨平台的数据分析有助于从用户数据和行销宣传活动中获取洞察，最终有助于改善策略并收益。

资料科学平台的主要产品类型是解决方案和服务。资料科学平台解决方案有助于数据收集、数据整合和数据视觉化。这些解决方案帮助企业制定策略，并从历史数据中发现可行的洞察。它们提供多种部署模式，包括云端基础和本地部署，并广泛应用于金融服务、保险、通讯、电信、运输和物流、医疗保健以及製造业等各个领域。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

资料科学平台市场研究报告是商业研究公司最新报告系列的一部分，该系列提供资料科学平台市场统计数据，例如全球市场规模、区域份额、资料科学资料科学平台市场份额的竞争对手、详细的资料科学。本资料科学平台市场研究报告对行业现状和未来趋势进行了详细分析，为您提供所需的一切资讯的完整观点。

未来五年32.7%的成长预测，较我们先前对该市场的预测略有下降0.4%。这一下降主要源自于美国与其他国家之间关税的影响。对人工智慧套件和机器学习库（尤其是在海外开发的工具包和机器学习库）的关税上调，可能会减缓美国公司内部资料科学平台的开发和培训週期。此外，互惠关税以及日益加剧的贸易紧张局势和限制对全球经济和贸易造成的负面影响，可能会产生更广泛的影响。

预计在预测期内，对巨量资料分析日益增长的需求将推动资料科学平台市场的成长。巨量资料分析采用先进的分析技术来分析企业和组织收集的结构混合物、半结构化和非结构化资料。资料科学是利用先进的分析技术和科学原理从数据中提取关键讯息，用于企业决策、策略规划和其他目的。例如，根据美国软体公司Techjury的预测，到2023年，巨量资料分析产业的规模预计将达到770亿美元。因此，对巨量资料分析日益增长的需求正在推动资料科学平台市场的成长。

预计云端基础方案的成长将推动资料科学平台市场的未来成长。云端基础方案是指可以使用网际网路连接从其他供应商的共用云端运算框架存取的程式、储存空间、按需服务、电脑网路和其他服务。资料科学平台中的云端基础解决方案提供可扩展的运算能力、储存和协作工具，促进高效的数据分析和机器学习模型的开发。例如，根据澳洲政府统计机构澳洲统计局 2023 年 6 月的数据，85% 的澳洲企业报告在截至 2022 年 6 月 30 日的一年中采用了资讯和通讯技术 (ICT)，高于截至 2020 年 6 月 30 日的一年中的 69%。其中，59% 与云端处理有关。因此，云端基础方案的成长正在推动资料科学平台市场的成长。

分析应用程式的采用对资料科学平台市场产生了重大影响。领先的资料科学公司越来越关注分析应用程序，以更好地了解消费行为。这些数据分析应用程式可以提供应用程式发现、比较下载和应用程式内购买、监控和评估 KPI 以及应用程式内分析洞察等功能。例如，专门从事自动化机器学习的美国公司 DataRobot AI Cloud 于 2022 年 6 月推出了其 Google Cloud 市场。这项新产品让 American Family Mutual Insurance、Randstad North America 和 Rentokil Initial 等组织在 Google Cloud 上与其应用程式和资料一起运行 AI 云端。这种整合使客户能够使用各种 Google Cloud 服务（例如 BigQuery 和 Vertex AI）来高效地建置、训练和部署模型，满足对消除资料孤岛和增强 AI 功能的混合多重云端平台日益增长的需求。

资料科学平台市场涵盖实体透过提供软体工具（帮助数据科学家分析数据，包括运行、追踪、复製、共用和部署模型）以及透过使用强大的工具加速流程，增强营业单位更快、更有效率地执行这些操作的能力而产生的收入。市场价值包括服务提供者销售或包含在服务产品中的相关商品的收益。仅包括营业单位之间交易或出售给最终消费者的商品和服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球资料科学平台：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球资料科学平台市场：成长率分析
  • 全球资料科学平台市场表现：规模与成长，2019-2024
  • 全球资料科学平台市场预测：规模与成长，2024-2029 年，2034 年
  • 全球资料科学平台：总潜在市场（TAM）

第六章 市场细分

  • 全球资料科学平台市场：按类型、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 服务
  • 全球资料科学平台市场：按部署、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 云端基础
  • 本地部署
  • 全球资料科学平台市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • BFSI
  • 通讯
  • 运输/物流
  • 卫生保健
  • 製造业
  • 其他最终用户
  • 全球资料科学平台市场：按解决方案类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 资料准备与清理工具
  • 机器学习和人工智慧工具
  • 数据视觉化工具
  • 模型部署和监控工具
  • 全球资料科学平台市场：按服务类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 实施服务
  • 支援和维护服务
  • 培训和教育服务

第七章 区域和国家分析

  • 全球资料科学平台市场：区域表现与预测，2019-2024 年、2024-2029 年、2034 年
  • 全球资料科学平台市场：按国家、实际情况和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 资料科学平台市场：竞争格局
  • 资料科学平台市场：公司简介
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Alteryx Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • SAP SE
  • Teradata Corporation
  • TIBCO Software Inc.
  • RapidMiner Inc.
  • MathWorks Inc.
  • SAS Institute Inc.
  • Wolfram Research Inc.
  • Dataiku Inc.
  • Fair Isaac Corporation（FICO）
  • Altair Engineering Inc.
  • DataRobot Inc.
  • Apheris AI GmbH
  • Anaconda Inc.
  • Amazon Web Services Inc.（AWS）
  • Cloudera Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年资料科学平台市场：提供新机会的国家
  • 2029年资料科学平台市场：细分市场带来新机会
  • 2029年资料科学平台市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r21341u

The data science platform is a software that are used to analyze, organize, and transfer to assist businesses in developing analytic models and managing analytic data Data analysis across multiple platforms can assist businesses in gaining insights from user data and marketing campaigns, ultimately assisting in the improvement of strategy and revenue.

The main types of products in the data science platform are solutions and services. The data science platform solutions help with data collection, data integration, and data visualization. These solutions help companies to plan strategies, uncover actionable insights from historic data. The different modes of deployment include cloud-based, on-premise, and are used by various sectors such as BFSI, telecommunication, transportation and logistics, healthcare, manufacturing, others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The data science platform market research report is one of a series of new reports from The Business Research Company that provides data science platform market statistics, including data science platform industry global market size, regional shares, competitors with a data science platform market share, detailed data science platform market segments, market trends and opportunities, and any further data you may need to thrive in the data science platform industry. This data science platform market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The data science platform market size has grown exponentially in recent years. It will grow from $120.49 billion in 2024 to $153.71 billion in 2025 at a compound annual growth rate (CAGR) of 27.6%. The growth in the historic period can be attributed to demand for predictive analytics, regulatory compliance requirements, open-source ecosystem growth, increasing data complexity, focus on data governance and privacy.

The data science platform market size is expected to see exponential growth in the next few years. It will grow to $476.36 billion in 2029 at a compound annual growth rate (CAGR) of 32.7%. The growth in the forecast period can be attributed to exponential growth in unstructured data, natural language processing (NLP) advancements, cross-functional collaboration platforms, democratization of data science. Major trends in the forecast period include hybrid and multi-cloud deployments, integration with business intelligence, exponential increase in data science applications, continuous model monitoring and management, hyper automation and process integration, collaborative model development and versioning.

The forecast of 32.7% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff hikes on AI toolkits and ML libraries, especially those developed abroad, could slow development and training cycles on data science platforms within U.S. enterprises. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increase in demand for big data analytics is expected to propel the growth of the data science platform market during the forecast period. Big data analytics employs advanced analytic techniques to analyze a mixture of structured, semi-structured, and unstructured data collected by businesses and entities. Data science is the practice of extracting important information from data using advanced analytics techniques and scientific principles for enterprise decisions, strategic planning, and other purposes. For instance, according to Techjury, a US-based software company, the big data analytics sector is projected to reach $77 billion by 2023. Therefore, the increasing demand for big data analytics drives the data science platform market growth.

The rising growth of cloud-based solutions is expected to propel the growth of the data science platform market going forward. A cloud-based solution refers to the programs, storage spaces, on-demand services, computer networks, and other services that are accessible through another provider's shared cloud computing framework using an internet connection. Cloud-based solutions in data science platforms provide scalable computing power, storage, and collaboration tools, facilitating efficient data analysis and machine learning model development. For instance, in June 2023, according to the Australian Bureau of Statistics, an Australia-based government agency for statistics, in Australia, 85% of firms reported employing information and communication technologies (ICTs) for the year ended June 30, 2022, up from 69% of enterprises during the year ended June 30, 2020. 59% of these were related to cloud computing. Therefore, the rising growth of cloud-based solutions is driving the growth of the data science platform market.

The adoption of analytic applications is significantly influencing the data science platform market. Leading data science companies are increasingly focusing on analytics applications to gain a deeper understanding of consumer behavior. These data analytic apps can provide insights such as app detection, comparisons of downloads and in-app purchases, KPI monitoring and evaluation, and in-app analytics insights, among other functionalities. For example, in June 2022, DataRobot AI Cloud, a US-based company specializing in automated machine learning, launched the Google Cloud Marketplace. This new offering enables organizations like American Family Mutual Insurance, Randstad North America, and Rentokil Initial to run their AI Cloud alongside their applications and data in Google Cloud. This integration allows customers to utilize Google Cloud's extensive services, such as BigQuery and Vertex AI, for building, training, and deploying models efficiently, thereby addressing the growing demand for hybrid multi-cloud platforms that eliminate data silos and enhance AI capabilities.

Major companies operating in the data science platform market are focused on launching new platforms to gain a competitive edge in the market. For instance, in May 2022, Morningstar Inc., a US-based financial services firm, introduced Analytics Lab, a data science platform tailored for finance professionals. This fresh feature is accessible to analysts and data scientists who utilize the Morningstar Direct investment analysis platform. Analytics Lab grants users the opportunity to tap into the development platform that underlies the preexisting Morningstar research and datasets. This empowers them to craft personalized notebooks within a hosted environment and integrate Morningstar data with the Python programming language.

In July 2023, Databricks, a US-based global company specializing in data, analytics, and artificial intelligence, acquired MosaicML for an undisclosed sum. This acquisition is intended to enhance Databricks' generative AI capabilities, enabling its 10,000 customers to train and deploy customized large language models (LLMs) on the Databricks Lakehouse platform. This platform offers a secure and scalable environment for utilizing proprietary data. MosaicML, also based in the U.S., focuses on the development of generative artificial intelligence technologies.

Major companies operating in the data science platform market include Microsoft Corporation, Google LLC, International Business Machines Corporation (IBM), Oracle Corporation, Alteryx Inc., SAP SE, Teradata Corporation, TIBCO Software Inc., RapidMiner Inc., MathWorks Inc., SAS Institute Inc., Wolfram Research Inc., Dataiku Inc., Fair Isaac Corporation (FICO), Altair Engineering Inc., DataRobot Inc., Apheris AI GmbH, Anaconda Inc., Amazon Web Services Inc. (AWS), Cloudera Inc., Databricks Inc., Snowflake Inc., Accenture PLC, OpenText Corporation, Splunk Inc., NVIDIA Corporation, Sumo Logic Inc., Sisense Inc., VMware Inc., Ernst & Young (EY), Domino Data Lab Inc., WNS Global Services Pvt. Ltd., BRIDGEi2i Analytics Solutions Pvt. Ltd.

North America was the largest region in the data science platform market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data science platform market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the data science platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The data science platform market includes revenues earned by entities by providing software tools that assist data scientists in analyzing data such as running, tracking, reproducing, sharing, and deploying models faster and more efficiently with powerful tools that speed up the process to enhance the organizational capability. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Data Science Platform Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on data science platform market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for data science platform ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The data science platform market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: Solutions; Services
  • 2) By Deployment: Cloud-Based; On-Premise
  • 3) By End User: BFSI; Telecommunication; Transportation And Logistics; Healthcare; Manufacturing; Other End Users
  • Subsegments:
  • 1) By Solutions: Data Preparation And Cleaning Tools; Machine Learning And AI Tools; Data Visualization Tools; Model Deployment And Monitoring Tools
  • 2) By Services: Consulting Services; Implementation Services; Support And Maintenance Services; Training And Education Services
  • Companies Mentioned: Microsoft Corporation; Google LLC; International Business Machines Corporation (IBM); Oracle Corporation; Alteryx Inc.; SAP SE; Teradata Corporation; TIBCO Software Inc.; RapidMiner Inc.; MathWorks Inc.; SAS Institute Inc.; Wolfram Research Inc.; Dataiku Inc.; Fair Isaac Corporation (FICO); Altair Engineering Inc.; DataRobot Inc.; Apheris AI GmbH; Anaconda Inc.; Amazon Web Services Inc. (AWS); Cloudera Inc.; Databricks Inc.; Snowflake Inc.; Accenture PLC; OpenText Corporation; Splunk Inc.; NVIDIA Corporation; Sumo Logic Inc.; Sisense Inc.; VMware Inc.; Ernst & Young (EY); Domino Data Lab Inc.; WNS Global Services Pvt. Ltd.; BRIDGEi2i Analytics Solutions Pvt. Ltd.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Data Science Platform Market Characteristics

3. Data Science Platform Market Trends And Strategies

4. Data Science Platform Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Data Science Platform Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Data Science Platform PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Data Science Platform Market Growth Rate Analysis
  • 5.4. Global Data Science Platform Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Data Science Platform Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Data Science Platform Total Addressable Market (TAM)

6. Data Science Platform Market Segmentation

  • 6.1. Global Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solution
  • Services
  • 6.2. Global Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premises
  • 6.3. Global Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • BFSI
  • Telecommunication
  • Transportation And Logistics
  • Healthcare
  • Manufacturing
  • Other End Users
  • 6.4. Global Data Science Platform Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Preparation And Cleaning Tools
  • Machine Learning And AI Tools
  • Data Visualization Tools
  • Model Deployment And Monitoring Tools
  • 6.5. Global Data Science Platform Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation Services
  • Support And Maintenance Services
  • Training And Education Services

7. Data Science Platform Market Regional And Country Analysis

  • 7.1. Global Data Science Platform Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Data Science Platform Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Data Science Platform Market

  • 8.1. Asia-Pacific Data Science Platform Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Data Science Platform Market

  • 9.1. China Data Science Platform Market Overview
  • 9.2. China Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Data Science Platform Market

  • 10.1. India Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Data Science Platform Market

  • 11.1. Japan Data Science Platform Market Overview
  • 11.2. Japan Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Data Science Platform Market

  • 12.1. Australia Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Data Science Platform Market

  • 13.1. Indonesia Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Data Science Platform Market

  • 14.1. South Korea Data Science Platform Market Overview
  • 14.2. South Korea Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Data Science Platform Market

  • 15.1. Western Europe Data Science Platform Market Overview
  • 15.2. Western Europe Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Data Science Platform Market

  • 16.1. UK Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Data Science Platform Market

  • 17.1. Germany Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Data Science Platform Market

  • 18.1. France Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Data Science Platform Market

  • 19.1. Italy Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Data Science Platform Market

  • 20.1. Spain Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Data Science Platform Market

  • 21.1. Eastern Europe Data Science Platform Market Overview
  • 21.2. Eastern Europe Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Data Science Platform Market

  • 22.1. Russia Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Data Science Platform Market

  • 23.1. North America Data Science Platform Market Overview
  • 23.2. North America Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Data Science Platform Market

  • 24.1. USA Data Science Platform Market Overview
  • 24.2. USA Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Data Science Platform Market

  • 25.1. Canada Data Science Platform Market Overview
  • 25.2. Canada Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Data Science Platform Market

  • 26.1. South America Data Science Platform Market Overview
  • 26.2. South America Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Data Science Platform Market

  • 27.1. Brazil Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Data Science Platform Market

  • 28.1. Middle East Data Science Platform Market Overview
  • 28.2. Middle East Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Data Science Platform Market

  • 29.1. Africa Data Science Platform Market Overview
  • 29.2. Africa Data Science Platform Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Data Science Platform Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Data Science Platform Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Data Science Platform Market Competitive Landscape And Company Profiles

  • 30.1. Data Science Platform Market Competitive Landscape
  • 30.2. Data Science Platform Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Alteryx Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Data Science Platform Market Other Major And Innovative Companies

  • 31.1. SAP SE
  • 31.2. Teradata Corporation
  • 31.3. TIBCO Software Inc.
  • 31.4. RapidMiner Inc.
  • 31.5. MathWorks Inc.
  • 31.6. SAS Institute Inc.
  • 31.7. Wolfram Research Inc.
  • 31.8. Dataiku Inc.
  • 31.9. Fair Isaac Corporation (FICO)
  • 31.10. Altair Engineering Inc.
  • 31.11. DataRobot Inc.
  • 31.12. Apheris AI GmbH
  • 31.13. Anaconda Inc.
  • 31.14. Amazon Web Services Inc. (AWS)
  • 31.15. Cloudera Inc.

32. Global Data Science Platform Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Data Science Platform Market

34. Recent Developments In The Data Science Platform Market

35. Data Science Platform Market High Potential Countries, Segments and Strategies

  • 35.1 Data Science Platform Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Data Science Platform Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Data Science Platform Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer