2025 年資料科學平台全球市場報告

預計未來幾年資料科學平台的市場規模將呈指數級成長。 2029年將成長至4,859.5億美元，年複合成長率（CAGR）為33.1%。預測期內的成長歸因於非結構化資料的急劇成長、自然語言處理（NLP）的進步、跨職能協作平台以及資料科學的民主化。預測期內的主要趨勢包括混合多重雲端的採用、與商業智慧、資料科學應用的指數成長、持續模型監控和管理、超自動化和流程整合以及協作模型開發和版本控制。

預計預測期內巨量資料分析需求的不斷成長將推動資料科學平台市場的成長。巨量資料分析採用先進的分析技術來分析公司和營業單位收集的資料、半資料和非結構化資料。資料科學是利用先進的分析技術和科學原理從資料中提取關鍵訊息，用於商業決策、策略規劃等目的。例如，根據美國軟體公司Techjury的數據，巨量資料分析產業預計到2023年將達到770億美元。因此，對巨量資料分析的不斷成長的需求正在推動資料科學平台市場的成長。

雲端基礎的解決方案的成長預計將推動資料科學平台市場的未來成長。雲端基礎的解決方案是指可以使用網際網路連接從其他提供者的共用雲端運算框架存取的程式、儲存空間、按需服務、電腦網路和其他服務。雲端基礎的資料科學平台解決方案提供可擴展的運算能力、儲存和協作工具，以促進高效的資料分析和機器學習模型的開發。例如，根據澳洲政府統計機構澳洲統計局的數據，截至 2023 年 6 月，85% 的澳洲企業報告在截至 2022 年 6 月 30 日的一年中採用了資訊和通訊技術 (ICT)，高於截至 2020 年 6 月 30 日的一年中的 69%。其中59%與雲端處理相關。因此，雲端基礎的解決方案的興起正在推動資料科學平台市場的成長。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、通膨、地緣政治、新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球資料科學平台 PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素、限制因素）
• 最終用途產業分析
• 全球資料科學平台市場成長率分析
• 全球資料科學平台市場表現：規模與成長，2019 年至 2024 年
• 全球資料科學平台市場預測：規模與成長，2024-2029 年，2034 年預測
• 全球資料科學平台總潛在市場 (TAM)

第6章 市場細分

• 全球資料科學平台市場類型、績效及預測，2019-2024 年、2024-2029 年、2034 年
• 解決方案
• 服務
• 全球資料科學平台市場：按部署、效能和預測，2019-2024 年、2024-2029 年、2034 年
• 雲端基礎
• 本地
• 全球資料科學平台市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
• BFSI
• 通訊
• 運輸和物流
• 衛生保健
• 製造業
• 其他最終用戶
• 全球資料科學平台市場：解決方案細分、類型、效能與預測，2019-2024 年、2024-2029 年、2034 年
• 資料準備與清理工具
• 機器學習和人工智慧工具
• 資料視覺化工具
• 模型部署和監控工具
• 全球資料科學平台市場：按服務、類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
• 諮詢服務
• 實施服務
• 支援和維護服務
• 培訓和教育服務

第7章 區域和國家分析

• 全球資料科學平台市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
• 全球資料科學平台市場：按國家、績效和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第 17 章 德國市場

第 18 章 法國市場

第 19 章：義大利市場

第 20 章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第 25 章：加拿大市場

第26章 南美洲市場

第 27 章：巴西市場

第28章 中東市場

第 29 章：非洲市場

第 30 章競爭格局與公司概況

• 資料科學平台市場：競爭格局
• 資料科學平台市場：公司簡介
  • 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 其他大型創新企業

• 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 全球競爭基準化分析與儀錶板

第33章 重大併購

第 34 章 近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029 年資料科學平台市場 - 提供最多新機會的國家
• 資料科學平台市場 2029- 提供最多新機會的細分市場
• 資料科學平台市場 2029-成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第 36 章 附錄

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.

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 $154.79 billion in 2025 at a compound annual growth rate (CAGR) of 28.5%. 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 $485.95 billion in 2029 at a compound annual growth rate (CAGR) of 33.1%. 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• 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.
• 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 And Covid And Recovery On The Market

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