データサイエンスプラットフォームの世界市場レポート 2025年

データサイエンスプラットフォームの市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は33.1%で、4,859億5,000万米ドルに成長します。予測期間の成長は、非構造化データの急激な増加、自然言語処理（NLP）の進歩、部門を超えたコラボレーションプラットフォーム、データサイエンスの民主化に起因しています。予測期間における主な動向としては、ハイブリッドおよびマルチクラウドの導入、ビジネスインテリジェンスとの統合、データサイエンス・アプリケーションの急激な増加、継続的なモデルのモニタリングと管理、ハイパーオートメーションとプロセスの統合、共同モデル開発とバージョニングなどが挙げられます。

ビッグデータ分析に対する需要の増加は、予測期間中のデータサイエンスプラットフォーム市場の成長を促進すると予想されます。ビッグデータ分析では、企業や事業体が収集した構造化データ、半構造化データ、非構造化データを混合して分析するために、高度な分析技術を採用しています。データサイエンスとは、企業の意思決定や戦略立案、その他の目的のために、高度な分析技術や科学的原理を用いてデータから重要な情報を抽出することです。例えば、米国のソフトウェア会社Techjuryによると、ビッグデータ分析分野は2023年までに770億米ドルに達すると予測されています。そのため、ビッグデータ分析に対する需要の高まりが、データサイエンスプラットフォーム市場の成長を後押ししています。

クラウドベースのソリューションの成長は、データサイエンスプラットフォーム市場の今後の成長を促進すると予想されています。クラウドベースのソリューションとは、インターネット接続を使用して他のプロバイダーの共有クラウドコンピューティングフレームワークからアクセスできるプログラム、ストレージスペース、オンデマンドサービス、コンピュータネットワーク、その他のサービスを指します。データサイエンスプラットフォームにおけるクラウドベースのソリューションは、スケーラブルなコンピューティングパワー、ストレージ、コラボレーションツールを提供し、効率的なデータ分析や機械学習モデルの開発を促進します。例えば、オーストラリアを拠点とする政府統計機関であるオーストラリア統計局によると、2023年6月、オーストラリアでは、2022年6月30日に終了した1年間に情報通信技術（ICT）を採用したと報告した企業は85%に達し、2020年6月30日に終了した1年間の69%から増加しました。このうち59％がクラウド・コンピューティングに関連しています。このため、クラウドベースのソリューションの増加がデータサイエンスプラットフォーム市場の成長を牽引しています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場-金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界成長分析と戦略分析フレームワーク

• 世界のデータサイエンスプラットフォームPESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のデータサイエンスプラットフォーム市場成長率分析
• 世界のデータサイエンスプラットフォーム市場の実績：規模と成長, 2019-2024
• 世界のデータサイエンスプラットフォーム市場の予測：規模と成長, 2024-2029, 2034F
• 世界のデータサイエンスプラットフォーム総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のデータサイエンスプラットフォーム市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ソリューション
• サービス
• 世界のデータサイエンスプラットフォーム市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウドベース
• オンプレミス
• 世界のデータサイエンスプラットフォーム市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• BFSI
• 通信
• 輸送と物流
• ヘルスケア
• 製造業
• その他のエンドユーザー
• 世界のデータサイエンスプラットフォーム市場：ソリューションのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• データ準備およびクリーニングツール
• 機械学習とAIツール
• データ視覚化ツール
• モデルの展開と監視ツール
• 世界のデータサイエンスプラットフォーム市場：サービスのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンサルティングサービス
• 実装サービス
• サポートおよびメンテナンスサービス
• トレーニングおよび教育サービス

第7章 地域別・国別分析

• 世界のデータサイエンスプラットフォーム市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のデータサイエンスプラットフォーム市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• データサイエンスプラットフォーム市場：競合情勢
• データサイエンスプラットフォーム市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 市場の最近の動向

第35章 市場の潜在力が高い国、セグメント、戦略

• データサイエンスプラットフォーム市場2029年-最も新しい機会を提供する国
• データサイエンスプラットフォーム市場2029年-最も新しい機会を提供するセグメント
• データサイエンスプラットフォーム市場2029年-成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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