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市場調查報告書
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1840212

2025年全球資料科學平台市場報告

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個工作天內

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簡介目錄

近年來，資料科學平台市場快速擴張，規模從2024年的1,204.9億美元成長至2025年的1,537.1億美元，複合年成長率達27.6%。這段歷史時期的成長動力源自於預測分析需求、監管合規要求、開放原始碼生態系統的發展、資料複雜性的不斷提升以及對資料管治和隱私的日益重視。

預計未來幾年資料科學平台市場將呈指數級成長，到 2029 年將達到 4,763.6 億美元，年複合成長率（CAGR）為 32.7%。預測期內的成長主要得益於非結構化資料的指數級成長、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、資料科學應用的快速成長、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。

資料科學平台是一種用於分析、組織和傳輸的軟體，旨在幫助企業開發分析模型和管理分析數據。跨平台的數據分析有助於從用戶數據和行銷宣傳活動中獲取洞察，最終有助於改善策略並收益。

資料科學平台的主要產品類型是解決方案和服務。資料科學平台解決方案有助於數據收集、數據整合和數據視覺化。這些解決方案幫助企業制定策略，並從歷史數據中發現可行的洞察。它們提供多種部署模式，包括雲端基礎和本地部署，並廣泛應用於金融服務、保險、通訊、電信、運輸和物流、醫療保健以及製造業等各個領域。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

資料科學平台市場研究報告是商業研究公司最新報告系列的一部分，該系列提供資料科學平台市場統計數據，例如全球市場規模、區域佔有率、資料科學資料科學平台市場佔有率的競爭對手、詳細的資料科學。本資料科學平台市場研究報告對行業現狀和未來趨勢進行了詳細分析，為您提供所需的一切資訊的完整觀點。

未來五年32.7%的成長預測，較我們先前對該市場的預測略有下降0.4%。這一下降主要源自於美國與其他國家之間關稅的影響。對人工智慧套件和機器學習庫（尤其是在海外開發的工具包和機器學習庫）的關稅上調，可能會減緩美國公司內部資料科學平台的開發和培訓週期。此外，互惠關稅以及日益加劇的貿易緊張局勢和限制對全球經濟和貿易造成的負面影響，可能會產生更廣泛的影響。

預計在預測期內，對巨量資料分析日益成長的需求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企業和組織收集的結構混合物、半結構化和非結構化資料。資料科學是利用先進的分析技術和科學原理從數據中提取關鍵訊息，用於企業決策、策略規劃和其他目的。例如，根據美國軟體公司Techjury的預測，到2023年，巨量資料分析產業的規模預計將達到770億美元。因此，對巨量資料分析日益成長的需求正在推動資料科學平台市場的成長。

預計雲端基礎方案的成長將推動資料科學平台市場的未來成長。雲端基礎方案是指可以使用網際網路連接從其他供應商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。資料科學平台中的雲端基礎解決方案提供可擴展的運算能力、儲存和協作工具，促進高效的數據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 2023 年 6 月的數據，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% 與雲端處理有關。因此，雲端基礎方案的成長正在推動資料科學平台市場的成長。

分析應用程式的採用對資料科學平台市場產生了重大影響。領先的資料科學公司越來越關注分析應用程式，以更好地了解消費行為。這些數據分析應用程式可以提供應用程式發現、比較下載和應用程式內購買、監控和評估 KPI 以及應用程式內分析洞察等功能。例如，專門從事自動化機器學習的美國公司 DataRobot AI Cloud 於 2022 年 6 月推出了其 Google Cloud 市場。這項新產品讓 American Family Mutual Insurance、Randstad North America 和 Rentokil Initial 等組織在 Google Cloud 上與其應用程式和資料一起運行 AI 雲端。這種整合使客戶能夠使用各種 Google Cloud 服務（例如 BigQuery 和 Vertex AI）來高效地建置、訓練和部署模型，滿足對消除資料孤島和增強 AI 功能的混合多重雲端平台日益成長的需求。

資料科學平台市場涵蓋實體透過提供軟體工具（幫助數據科學家分析數據，包括運行、追蹤、複製、共用和部署模型）以及透過使用強大的工具加速流程，增強營業單位更快、更有效率地執行這些操作的能力而產生的收入。市場價值包括服務提供者銷售或包含在服務產品中的相關商品的收益。僅包括營業單位之間交易或出售給最終消費者的商品和服務。

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、貿易戰和關稅，以及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、促進因素與限制因素）
  • 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，2019-2024
  • 全球資料科學平台市場預測：規模與成長，2024-2029 年，2034 年
  • 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：按類型、實際和預測，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、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 雲端基礎
  • 本地部署
  • 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/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：按解決方案類型、實際和預測細分，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
  • 數據視覺化工具
  • 模型部署和監控工具
  • 全球資料科學平台市場：按服務類型、實際和預測細分，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：區域表現與預測，2019-2024 年、2024-2029 年、2034 年
  • 全球資料科學平台市場：按國家、實際情況和預測，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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年資料科學平台市場：提供新機會的國家
  • 2029年資料科學平台市場：細分市場帶來新機會
  • 2029年資料科學平台市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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