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市場調查報告書
商品編碼
1352925

全球數據科學平台市場研究報告 - 2023 年至 2030 年行業分析、規模、佔有率、成長、趨勢和預測

Global Data Science Platform Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030
出版日期: | 出版商: Value Market Research | 英文 227 Pages | 商品交期: 最快1-2個工作天內

價格

全球數據科學平台市場需求預計將從 2022 年的 1015.2 億美元達到 2030 年近 10,632.3 億美元的市場規模，2023-2030 年研究期間複合年成長率為 29.82%。

所有數據科學和資料分析工作都是在稱為資料科學平台的軟體中心上完成的。它包括資料科學專案所需的所有工具，包括軟體的構思、安裝、發現、模型建構和實施。更準確地說，資料科學是收集、分析和解釋結果的策略的整合。它使科學家能夠輕鬆快速地運行、追蹤、重複、分析和交流他們的發現，從而提高他們的工作水平。

市場動態：

人工智慧的採用、物聯網應用的急劇成長以及對機器學習和大資料的高需求是推動資料科學平台採用的一些主要因素。大資料技術採用、安全和治理、IT 集中化、開放標準和庫等 IT 產業趨勢已應用於資料科學平台。它在多個領域提供結構化和高效的企業。統一、多學科的基於雲端的開發平台的興起有助於資料科學家提高他們的能力，並將機器學習和分析結合到業務營運中。洞察、機器學習、預測分析和資料探勘等技術使用這些平台從大量分類和非結構化資料中發現隱藏資訊。最終用戶產業中結構和非結構化資料數量的增加推動了大資料的採用。雲端也與資料科學平台結合，滿足市場的採用，用戶可以在數據科學平台上建立雲端整合平台。然而，昂貴的投資可能會阻礙市場成長，而更多資料保護問題的發展將減緩市場成長速度。缺乏專業人士或訓練有素的能力可能會進一步降低成長速度。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球資料科學平台市場的各個細分市場進行了包容性評估。資料科學平台產業的成長和趨勢為這項研究提供了整體方法。

區域分析：

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲數據科學平台市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。資料科學平台市場的主要參與者包括IBM（美國）、Google（美國）、Microsoft（美國）、SAS（美國）、AWS（美國）、MathWorks（美國）、Cloudera（美國）、Teradata（美國）、 TIBCO （美國）、Alteryx（美國）、RapidMiner（美國）、Databricks（美國）、Snowflake（美國）、H2O.ai（美國）、Altair（美國）、Anaconda（美國）、SAP（美國）、Domino Data Lab (美國)、Dataiku (美國)、DataRobot (美國)、Apheris (德國)、Comet (美國)、Databand (美國)、dotData (美國)、Explorium (美國)、Noogata (美國)、Tecton (美國)、Spell （美國）、Arrikto（美國）和Iterative（美國）。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

目錄

第一章：前言

  • 報告說明
    • 客觀的
    • 目標受眾
    • 獨特的銷售主張 (USP) 和產品
  • 研究範圍
  • 研究方法論
    • 市場研究過程
    • 市場研究方法論

第 2 章：執行摘要

  • 市場亮點
  • 全球市場概況

第 3 章：數據科學平台 - 產業分析

  • 簡介 - 市場動態
  • 市場促進因素
  • 市場限制
  • 機會
  • 產業動態
  • 波特五力分析
  • 市場吸引力分析
    • 按組件分類的市場吸引力分析
    • 按部署模式分類的市場吸引力分析
    • 按組織規模進行的市場吸引力分析
    • 按業務功能分類的市場吸引力分析
    • 按垂直領域分類的市場吸引力分析
    • 市場吸引力分析：按地區

第 4 章：價值鏈分析

  • 價值鏈分析
  • 原料分析
    • 原料清單
    • 原料廠商清單
    • 主要原物料價格走勢
  • 潛在買家名單
  • 行銷管道
    • 直效行銷
    • 間接行銷
    • 行銷通路發展趨勢

第 5 章：COVID-19 爆發的影響分析

第 6 章：全球資料科學平台市場分析：按組成部分

  • 按組件概述
  • 歷史和預測數據
  • 按成分分析
  • 平台
  • 服務
  • 支援與維護
  • 諮詢
  • 部署與整合

第 7 章：全球資料科學平台市場分析：依部署模式

  • 依部署模式概述
  • 歷史和預測數據
  • 依部署模式分析
  • 雲
  • 本地

第 8 章：全球資料科學平台市場分析：依組織規模

  • 按組織規模分類的概覽
  • 歷史和預測數據
  • 按組織規模分析
  • 中小企業
  • 大型企業

第 9 章：全球資料科學平台市場分析：依業務職能

  • 按業務功能分類的概述
  • 歷史和預測數據
  • 按業務功能分析
  • 行銷
  • 銷售量
  • 後勤
  • 財會
  • 客戶支援
  • 其他業務職能（人力資源和營運）

第 10 章：全球資料科學平台市場分析：按垂直領域

  • 按垂直領域概述
  • 歷史和預測數據
  • 垂直分析
  • BFSI
  • 零售及電子商務
  • 電信及IT
  • 媒體與娛樂
  • 醫療保健和生命科學
  • 政府和國防
  • 製造業
  • 運輸與物流
  • 能源和公用事業
  • 其他垂直行業（旅遊和酒店、教育和研究）

第 11 章：全球資料科學平台市場分析：依地理位置

  • 頂尖公司股票分析
  • 介紹
  • 北美銷售分析
    • 概述、歷史和預測銷售分析
    • 北美按細分市場銷售分析
    • 北美按國家銷售分析
    • 美國銷售分析
    • 加拿大銷售分析
    • 墨西哥銷售分析
  • 歐洲銷售分析
    • 概述、歷史和預測銷售分析
    • 歐洲按細分市場銷售分析
    • 歐洲按國家銷售分析
    • 英國銷售分析
    • 法國銷售分析
    • 德國銷售分析
    • 義大利銷售分析
    • 俄羅斯銷售分析
    • 歐洲其他地區銷售分析
  • 亞太地區銷售分析
    • 概述、歷史和預測銷售分析
    • 亞太地區按細分市場銷售分析
    • 亞太地區國家/地區銷售分析
    • 中國銷售分析
    • 印度銷售分析
    • 日本銷售分析
    • 韓國銷售分析
    • 澳洲銷售分析
    • 亞太地區其他地區銷售分析
  • 拉丁美洲銷售分析
    • 概述、歷史和預測銷售分析
    • 拉丁美洲按細分市場銷售分析
    • 拉丁美洲按國家銷售分析
    • 巴西銷售分析
    • 阿根廷銷售分析
    • 秘魯銷售分析
    • 智利銷售分析
    • 拉丁美洲其他地區銷售分析
  • 中東和非洲銷售分析
    • 概述、歷史和預測銷售分析
    • 中東和非洲按細分市場銷售分析
    • 中東和非洲國家銷售分析
    • 沙烏地阿拉伯銷售分析
    • 阿拉伯聯合大公國銷售分析
    • 以色列銷售分析
    • 南非銷售分析
    • 中東其他地區和非洲銷售分析

第 12 章：數據科學平台公司的競爭格局

  • 數據科學平台市場競爭
  • 夥伴關係/協作/協議
  • 併購
  • 新產品發布
  • 其他發展

第 13 章：公司簡介

  • 公司股份分析
  • 市場集中度
  • IBM(US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Google(US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Microsoft(US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • SAS(US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • AWS(US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • MathWorks (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Cloudera (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Teradata (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • TIBCO (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Alteryx (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • RapidMiner (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Databricks (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Snowflake (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • H2O.ai (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Altair (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Anaconda (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • SAP (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Domino Data Lab (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Dataiku (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • DataRobot (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Apheris (Germany)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Comet (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Databand (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • dotData (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Explorium (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Noogata (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Tecton (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Spell (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Arrikto (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Iterative (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展

注意 - 在公司概況中，財務詳細資訊和近期發展視情況而定，或者如果是私人公司，則可能不包括在內

Product Code: VMR11218839

The global demand for Data Science Platform Market is presumed to reach the market size of nearly USD 1063.23 BN by 2030 from USD 101.52 BN in 2022 with a CAGR of 29.82% under the study period 2023 - 2030.

All Data science and data analysis work is done on a software hub called a data science platform. It includes all the tools required for the data science project, including ideation, installation, discovery, model building, and implementation of the software. To be more precise, data science is an integration of gathering, analysis, and strategy for interpreting results. It enables scientists to brush up on their jobs by allowing them to run, track, repeat, analyze and communicate their findings easily and quickly.

MARKET DYNAMICS:

The adoption of AI, dramatic growth of IoT applications, and high demand for machine learning and big data are some of the primary factors fueling the adoption of data science platforms. IT industry trends like big data technology adoption, security and governance, IT centralization, open standards, and libraries have been applied to data science platforms. It offers structured and efficient enterprises in multiple sectors. The upsurge of unified, multidisciplinary cloud-based development platforms helps data scientists to sharpen their abilities and combine ML and analytics into business operations. The techniques like insights, machine learning, predictive analytics, and data mining use these platforms to uncover hidden information from enormous classified and unstructured data. The rise in amounts of structures and unstructured data in end-user industries has fueled big data adoption. The cloud is also catering the market adoption in combination with data science platforms, where users build the could integration platforms. However, costly investment is likely to hamper the market growth, and the development of more data protection issues will slow down the market growth rate. The lack of professional individuals or trained competence can further decrease the growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of data science platform. The growth and trends of data science platform industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the data science platform market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

  • Platform
  • Services
  • Support And Maintenance
  • Consulting
  • Deployment And Integration

By Deployment Mode

  • Cloud
  • On-Premises

By Organization Size

  • Small And Medium-Sized Enterprises
  • Large Enterprises

By Business Function

  • Marketing
  • Sales
  • Logistics
  • Finance And Accounting
  • Customer Support
  • Other Business Functions (HR And Operations)

By Vertical

  • BFSI
  • Retail And E-Commerce
  • Telecom And IT
  • Media And Entertainment
  • Healthcare And Life Sciences
  • Government And Defense
  • Manufacturing
  • Transportation And Logistics
  • Energy And Utilities
  • Other Verticals (Travel And Hospitality, And Education And Research)

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Data Science Platform market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the data science platform market include IBM(US), Google(US), Microsoft(US), SAS(US), AWS(US), MathWorks (US), Cloudera (US), Teradata (US), TIBCO (US), Alteryx (US), RapidMiner (US), Databricks (US), Snowflake (US), H2O.ai (US), Altair (US), Anaconda (US), SAP (US), Domino Data Lab (US), Dataiku (US), DataRobot (US), Apheris (Germany), Comet (US), Databand (US), dotData (US), Explorium (US), Noogata (US), Tecton (US), Spell (US), Arrikto (US), and Iterative (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1 . PREFACE

  • 1.1. Report Description
    • 1.1.1. Objective
    • 1.1.2. Target Audience
    • 1.1.3. Unique Selling Proposition (USP) & offerings
  • 1.2. Research Scope
  • 1.3. Research Methodology
    • 1.3.1. Market Research Process
    • 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

  • 2.1. Highlights of Market
  • 2.2. Global Market Snapshot

3 . DATA SCIENCE PLATFORM - INDUSTRY ANALYSIS

  • 3.1. Introduction - Market Dynamics
  • 3.2. Market Drivers
  • 3.3. Market Restraints
  • 3.4. Opportunities
  • 3.5. Industry Trends
  • 3.6. Porter's Five Force Analysis
  • 3.7. Market Attractiveness Analysis
    • 3.7.1 Market Attractiveness Analysis By Component
    • 3.7.2 Market Attractiveness Analysis By Deployment Mode
    • 3.7.3 Market Attractiveness Analysis By Organization Size
    • 3.7.4 Market Attractiveness Analysis By Business Function
    • 3.7.5 Market Attractiveness Analysis By Vertical
    • 3.7.6 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

  • 4.1. Value Chain Analysis
  • 4.2. Raw Material Analysis
    • 4.2.1. List of Raw Materials
    • 4.2.2. Raw Material Manufactures List
    • 4.2.3. Price Trend of Key Raw Materials
  • 4.3. List of Potential Buyers
  • 4.4. Marketing Channel
    • 4.4.1. Direct Marketing
    • 4.4.2. Indirect Marketing
    • 4.4.3. Marketing Channel Development Trend

5. IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY COMPONENT

  • 6.1 Overview by Component
  • 6.2 Historical and Forecast Data
  • 6.3 Analysis by Component
  • 6.4 Platform Historic and Forecast Sales by Regions
  • 6.5 Services Historic and Forecast Sales by Regions
  • 6.6 Support And Maintenance Historic and Forecast Sales by Regions
  • 6.7 Consulting Historic and Forecast Sales by Regions
  • 6.8 Deployment And Integration Historic and Forecast Sales by Regions

7 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY DEPLOYMENT MODE

  • 7.1 Overview by Deployment Mode
  • 7.2 Historical and Forecast Data
  • 7.3 Analysis by Deployment Mode
  • 7.4 Cloud Historic and Forecast Sales by Regions
  • 7.5 On-premises Historic and Forecast Sales by Regions

8 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY ORGANIZATION SIZE

  • 8.1 Overview by Organization Size
  • 8.2 Historical and Forecast Data
  • 8.3 Analysis by Organization Size
  • 8.4 Small And Medium-Sized Enterprises Historic and Forecast Sales by Regions
  • 8.5 Large Enterprises Historic and Forecast Sales by Regions

9 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY BUSINESS FUNCTION

  • 9.1 Overview by Business Function
  • 9.2 Historical and Forecast Data
  • 9.3 Analysis by Business Function
  • 9.4 Marketing Historic and Forecast Sales by Regions
  • 9.5 Sales Historic and Forecast Sales by Regions
  • 9.6 Logistics Historic and Forecast Sales by Regions
  • 9.7 Finance And Accounting Historic and Forecast Sales by Regions
  • 9.8 Customer Support Historic and Forecast Sales by Regions
  • 9.9 Other Business Functions (HR And operations) Historic and Forecast Sales by Regions

10 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY VERTICAL

  • 10.1 Overview by Vertical
  • 10.2 Historical and Forecast Data
  • 10.3 Analysis by Vertical
  • 10.4 BFSI Historic and Forecast Sales by Regions
  • 10.5 Retail And E-Commerce Historic and Forecast Sales by Regions
  • 10.6 Telecom And IT Historic and Forecast Sales by Regions
  • 10.7 Media And Entertainment Historic and Forecast Sales by Regions
  • 10.8 Healthcare And Life Sciences Historic and Forecast Sales by Regions
  • 10.9 Government And Defense Historic and Forecast Sales by Regions
  • 10.10. Manufacturing Historic and Forecast Sales by Regions
  • 10.11 Transportation And Logistics Historic and Forecast Sales by Regions
  • 10.12 Energy And Utilities Historic and Forecast Sales by Regions
  • 10.13 Other Verticals (Travel And Hospitality, And Education And Research) Historic and Forecast Sales by Regions

11 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY GEOGRAPHY

  • 11.1. Top Company Share Analysis
  • 11.2. Introduction
  • 11.3. North America Sales Analysis
    • 11.3.1. Overview, Historic and Forecast Sales Analysis
    • 11.3.2. North America By Segment Sales Analysis
    • 11.3.3. North America By Country Sales Analysis
    • 11.3.4. United State Sales Analysis
    • 11.3.5. Canada Sales Analysis
    • 11.3.6. Mexico Sales Analysis
  • 11.4. Europe Sales Analysis
    • 11.4.1. Overview, Historic and Forecast Sales Analysis
    • 11.4.2. Europe by Segment Sales Analysis
    • 11.4.3. Europe by Country Sales Analysis
    • 11.4.4. United Kingdom Sales Analysis
    • 11.4.5. France Sales Analysis
    • 11.4.6. Germany Sales Analysis
    • 11.4.7. Italy Sales Analysis
    • 11.4.8. Russia Sales Analysis
    • 11.4.9. Rest Of Europe Sales Analysis
  • 11.5. Asia Pacific Sales Analysis
    • 11.5.1. Overview, Historic and Forecast Sales Analysis
    • 11.5.2. Asia Pacific by Segment Sales Analysis
    • 11.5.3. Asia Pacific by Country Sales Analysis
    • 11.5.4. China Sales Analysis
    • 11.5.5. India Sales Analysis
    • 11.5.6. Japan Sales Analysis
    • 11.5.7. South Korea Sales Analysis
    • 11.5.8. Australia Sales Analysis
    • 11.5.9. Rest Of Asia Pacific Sales Analysis
  • 11.6. Latin America Sales Analysis
    • 11.6.1. Overview, Historic and Forecast Sales Analysis
    • 11.6.2. Latin America by Segment Sales Analysis
    • 11.6.3. Latin America by Country Sales Analysis
    • 11.6.4. Brazil Sales Analysis
    • 11.6.5. Argentina Sales Analysis
    • 11.6.6. Peru Sales Analysis
    • 11.6.7. Chile Sales Analysis
    • 11.6.8. Rest of Latin America Sales Analysis
  • 11.7. Middle East & Africa Sales Analysis
    • 11.7.1. Overview, Historic and Forecast Sales Analysis
    • 11.7.2. Middle East & Africa by Segment Sales Analysis
    • 11.7.3. Middle East & Africa by Country Sales Analysis
    • 11.7.4. Saudi Arabia Sales Analysis
    • 11.7.5. UAE Sales Analysis
    • 11.7.6. Israel Sales Analysis
    • 11.7.7. South Africa Sales Analysis
    • 11.7.8. Rest Of Middle East And Africa Sales Analysis

12 . COMPETITIVE LANDSCAPE OF THE DATA SCIENCE PLATFORM COMPANIES

  • 12.1. Data Science Platform Market Competition
  • 12.2. Partnership/Collaboration/Agreement
  • 12.3. Merger And Acquisitions
  • 12.4. New Product Launch
  • 12.5. Other Developments

13 . COMPANY PROFILES OF DATA SCIENCE PLATFORM INDUSTRY

  • 13.1. Company Share Analysis
  • 13.2. Market Concentration Rate
  • 13.3. IBM(US)
    • 13.3.1. Company Overview
    • 13.3.2. Company Revenue
    • 13.3.3. Products
    • 13.3.4. Recent Developments
  • 13.4. Google(US)
    • 13.4.1. Company Overview
    • 13.4.2. Company Revenue
    • 13.4.3. Products
    • 13.4.4. Recent Developments
  • 13.5. Microsoft(US)
    • 13.5.1. Company Overview
    • 13.5.2. Company Revenue
    • 13.5.3. Products
    • 13.5.4. Recent Developments
  • 13.6. SAS(US)
    • 13.6.1. Company Overview
    • 13.6.2. Company Revenue
    • 13.6.3. Products
    • 13.6.4. Recent Developments
  • 13.7. AWS(US)
    • 13.7.1. Company Overview
    • 13.7.2. Company Revenue
    • 13.7.3. Products
    • 13.7.4. Recent Developments
  • 13.8. MathWorks (US)
    • 13.8.1. Company Overview
    • 13.8.2. Company Revenue
    • 13.8.3. Products
    • 13.8.4. Recent Developments
  • 13.9. Cloudera (US)
    • 13.9.1. Company Overview
    • 13.9.2. Company Revenue
    • 13.9.3. Products
    • 13.9.4. Recent Developments
  • 13.10. Teradata (US)
    • 13.10.1. Company Overview
    • 13.10.2. Company Revenue
    • 13.10.3. Products
    • 13.10.4. Recent Developments
  • 13.11. TIBCO (US)
    • 13.11.1. Company Overview
    • 13.11.2. Company Revenue
    • 13.11.3. Products
    • 13.11.4. Recent Developments
  • 13.12. Alteryx (US)
    • 13.12.1. Company Overview
    • 13.12.2. Company Revenue
    • 13.12.3. Products
    • 13.12.4. Recent Developments
  • 13.13. RapidMiner (US)
    • 13.13.1. Company Overview
    • 13.13.2. Company Revenue
    • 13.13.3. Products
    • 13.13.4. Recent Developments
  • 13.14. Databricks (US)
    • 13.14.1. Company Overview
    • 13.14.2. Company Revenue
    • 13.14.3. Products
    • 13.14.4. Recent Developments
  • 13.15. Snowflake (US)
    • 13.15.1. Company Overview
    • 13.15.2. Company Revenue
    • 13.15.3. Products
    • 13.15.4. Recent Developments
  • 13.16. H2O.ai (US)
    • 13.16.1. Company Overview
    • 13.16.2. Company Revenue
    • 13.16.3. Products
    • 13.16.4. Recent Developments
  • 13.17. Altair (US)
    • 13.17.1. Company Overview
    • 13.17.2. Company Revenue
    • 13.17.3. Products
    • 13.17.4. Recent Developments
  • 13.18. Anaconda (US)
    • 13.18.1. Company Overview
    • 13.18.2. Company Revenue
    • 13.18.3. Products
    • 13.18.4. Recent Developments
  • 13.19. SAP (US)
    • 13.19.1. Company Overview
    • 13.19.2. Company Revenue
    • 13.19.3. Products
    • 13.19.4. Recent Developments
  • 13.20. Domino Data Lab (US)
    • 13.20.1. Company Overview
    • 13.20.2. Company Revenue
    • 13.20.3. Products
    • 13.20.4. Recent Developments
  • 13.21. Dataiku (US)
    • 13.21.1. Company Overview
    • 13.21.2. Company Revenue
    • 13.21.3. Products
    • 13.21.4. Recent Developments
  • 13.22. DataRobot (US)
    • 13.22.1. Company Overview
    • 13.22.2. Company Revenue
    • 13.22.3. Products
    • 13.22.4. Recent Developments
  • 13.23. Apheris (Germany)
    • 13.23.1. Company Overview
    • 13.23.2. Company Revenue
    • 13.23.3. Products
    • 13.23.4. Recent Developments
  • 13.24. Comet (US)
    • 13.24.1. Company Overview
    • 13.24.2. Company Revenue
    • 13.24.3. Products
    • 13.24.4. Recent Developments
  • 13.25. Databand (US)
    • 13.25.1. Company Overview
    • 13.25.2. Company Revenue
    • 13.25.3. Products
    • 13.25.4. Recent Developments
  • 13.26. dotData (US)
    • 13.26.1. Company Overview
    • 13.26.2. Company Revenue
    • 13.26.3. Products
    • 13.26.4. Recent Developments
  • 13.27. Explorium (US)
    • 13.27.1. Company Overview
    • 13.27.2. Company Revenue
    • 13.27.3. Products
    • 13.27.4. Recent Developments
  • 13.28. Noogata (US)
    • 13.28.1. Company Overview
    • 13.28.2. Company Revenue
    • 13.28.3. Products
    • 13.28.4. Recent Developments
  • 13.29. Tecton (US)
    • 13.29.1. Company Overview
    • 13.29.2. Company Revenue
    • 13.29.3. Products
    • 13.29.4. Recent Developments
  • 13.30. Spell (US)
    • 13.30.1. Company Overview
    • 13.30.2. Company Revenue
    • 13.30.3. Products
    • 13.30.4. Recent Developments
  • 13.31. Arrikto (US)
    • 13.31.1. Company Overview
    • 13.31.2. Company Revenue
    • 13.31.3. Products
    • 13.31.4. Recent Developments
  • 13.32. Iterative (US)
    • 13.32.1. Company Overview
    • 13.32.2. Company Revenue
    • 13.32.3. Products
    • 13.32.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies

LIST OF TABLES

  • Market Snapshot
  • Drivers : Impact Analysis
  • Restraints : Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • List of Potential Buyers
  • Analysis by Component (USD MN)
  • Platform Market Sales by Geography (USD MN)
  • Services Market Sales by Geography (USD MN)
  • Support And Maintenance Market Sales by Geography (USD MN)
  • Consulting Market Sales by Geography (USD MN)
  • Deployment And Integration Market Sales by Geography (USD MN)
  • Analysis Market by Deployment Mode (USD MN)
  • Cloud Market Sales by Geography (USD MN)
  • On-premises Market Sales by Geography (USD MN)
  • Analysis by Organization Size (USD MN)
  • Small And Medium-Sized Enterprises Market Sales by Geography (USD MN)
  • Large Enterprises Market Sales by Geography (USD MN)
  • Analysis by Business Function (USD MN)
  • Marketing Market Sales by Geography (USD MN)
  • Sales Market Sales by Geography (USD MN)
  • Logistics Market Sales by Geography (USD MN)
  • Finance And Accounting Market Sales by Geography (USD MN)
  • Customer Support Market Sales by Geography (USD MN)
  • Other Business Functions (HR And operations) Market Sales by Geography (USD MN)
  • Analysis by Vertical (USD MN)
  • BFSI Market Sales by Geography (USD MN)
  • Retail And E-Commerce Market Sales by Geography (USD MN)
  • Telecom And IT Market Sales by Geography (USD MN)
  • Media And Entertainment Market Sales by Geography (USD MN)
  • Healthcare And Life Sciences Market Sales by Geography (USD MN)
  • Government And Defense Market Sales by Geography (USD MN)
  • Manufacturing Market Sales by Geography (USD MN)
  • Transportation And Logistics Market Sales by Geography (USD MN)
  • Energy And Utilities Market Sales by Geography (USD MN)
  • Other Verticals (Travel And Hospitality, And Education And Research) Market Sales by Geography (USD MN)
  • Global Data Science Platform Market Sales by Geography (USD MN)
  • North America Market Analysis (USD MN)
  • United State Market Analysis (USD MN)
  • Canada Market Analysis (USD MN)
  • Mexico Market Analysis (USD MN)
  • Europe Market Analysis (USD MN)
  • Europe Market Estimate by Country (USD MN)
  • United Kingdom Market Analysis (USD MN)
  • France Market Analysis (USD MN)
  • Germany Market Analysis (USD MN)
  • Italy Market Analysis (USD MN)
  • Russia Market Analysis (USD MN)
  • Spain Market Analysis (USD MN)
  • Rest of Europe Market Analysis (USD MN)
  • Asia Pacific Market Analysis (USD MN)
  • China Market Analysis (USD MN)
  • Japan Market Analysis (USD MN)
  • India Market Analysis (USD MN)
  • South Korea Market Analysis (USD MN)
  • Australia Market Analysis (USD MN)
  • Rest of Asia Pacific Market Analysis (USD MN)
  • Latin America Market Analysis (USD MN)
  • Brazil Market Analysis (USD MN)
  • Argentina Market Analysis (USD MN)
  • Peru Market Analysis (USD MN)
  • Chile Market Analysis (USD MN)
  • Rest of Latin America Market Analysis (USD MN)
  • Middle East & Africa Market Analysis (USD MN)
  • Saudi Arabia Market Analysis (USD MN)
  • UAE Market Analysis (USD MN)
  • Israel Market Analysis (USD MN)
  • South Africa Market Analysis (USD MN)
  • Rest of Middle East and Africa Market Analysis (USD MN)
  • Partnership/Collaboration/Agreement
  • Mergers And Acquisition

LIST OF FIGURES

  • Research Scope of Data Science Platform Report
  • Market Research Process
  • Market Research Methodology
  • Global Data Science Platform Market Size, by Region (USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis by Component
  • Market Attractiveness Analysis by Deployment Mode
  • Market Attractiveness Analysis by Organization Size
  • Market Attractiveness Analysis by Business Function
  • Market Attractiveness Analysis by Vertical
  • Market Attractiveness Analysis by Region
  • Value Chain Analysis
  • Global Market Analysis by Component (USD MN)
  • Platform Market Sales by Geography (USD MN)
  • Services Market Sales by Geography (USD MN)
  • Support And Maintenance Market Sales by Geography (USD MN)
  • Consulting Market Sales by Geography (USD MN)
  • Deployment And Integration Market Sales by Geography (USD MN)
  • Global Market Analysis by Deployment Mode (USD MN)
  • Cloud Market Sales by Geography (USD MN)
  • On-premises Market Sales by Geography (USD MN)
  • Global Market Analysis by Organization Size (USD MN)
  • Small And Medium-Sized Enterprises Market Sales by Geography (USD MN)
  • Large Enterprises Market Sales by Geography (USD MN)
  • Global Market Analysis by Business Function (USD MN)
  • Marketing Market Sales by Geography (USD MN)
  • Sales Market Sales by Geography (USD MN)
  • Logistics Market Sales by Geography (USD MN)
  • Finance And Accounting Market Sales by Geography (USD MN)
  • Customer Support Market Sales by Geography (USD MN)
  • Other Business Functions (HR And operations) Market Sales by Geography (USD MN)
  • Global Market Analysis by Vertical (USD MN)
  • BFSI Market Sales by Geography (USD MN)
  • Retail And E-Commerce Market Sales by Geography (USD MN)
  • Telecom And IT Market Sales by Geography (USD MN)
  • Media And Entertainment Market Sales by Geography (USD MN)
  • Healthcare And Life Sciences Market Sales by Geography (USD MN)
  • Government And Defense Market Sales by Geography (USD MN)
  • Manufacturing Market Sales by Geography (USD MN)
  • Transportation And Logistics Market Sales by Geography (USD MN)
  • Energy And Utilities Market Sales by Geography (USD MN)
  • Other Verticals (Travel And Hospitality, And Education And Research) Market Sales by Geography (USD MN)
  • Global Market by Revenue
  • North America Market by Revenue
  • Europe Market by Revenue
  • Asia Pacific Market by Revenue
  • Latin America Market by Revenue
  • Middle East & Africa Market by Revenue
  • Recent Development in Industry
  • Top Company Share Analysis

Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.