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市场调查报告书
商品编码
1352925

全球数据科学平台市场研究报告 - 2023 年至 2030 年行业分析、规模、份额、成长、趋势和预测

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个工作天内

价格

全球数据科学平台市场需求预计将从 2022 年的 1015.2 亿美元达到 2030 年近 10,632.3 亿美元的市场规模，2023-2030 年研究期间复合年增长率为 29.82%。

所有数据科学和资料分析工作都是在称为资料科学平台的软体中心上完成的。它包括资料科学专案所需的所有工具，包括软体的构思、安装、发现、模型建构和实施。更准确地说，资料科学是收集、分析和解释结果的策略的整合。它使科学家能够轻鬆快速地运行、追踪、重复、分析和交流他们的发现，从而提高他们的工作水平。

市场动态：

人工智慧的采用、物联网应用的急剧增长以及对机器学习和大资料的高需求是推动资料科学平台采用的一些主要因素。大资料技术采用、安全和治理、IT 集中化、开放标准和库等 IT 产业趋势已应用于资料科学平台。它在多个领域提供结构化和高效的企业。统一、多学科的基于云端的开发平台的兴起有助于资料科学家提高他们的能力，并将机器学习和分析结合到业务运营中。洞察、机器学习、预测分析和资料探勘等技术使用这些平台从大量分类和非结构化资料中发现隐藏资讯。最终用户产业中结构和非结构化资料数量的增加推动了大资料的采用。云端也与资料科学平台结合，满足市场的采用，用户可以在数据科学平台上建立云端整合平台。然而，昂贵的投资可能会阻碍市场成长，而更多资料保护问题的发展将减缓市场成长速度。缺乏专业人士或训练有素的能力可能会进一步降低成长速度。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外，这些工具也对全球资料科学平台市场的各个细分市场进行了包容性评估。资料科学平台产业的成长和趋势为这项研究提供了整体方法。

区域分析：

本节涵盖区域前景，重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲数据科学平台市场当前和未来的需求。此外，该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。资料科学平台市场的主要参与者包括IBM（美国）、Google（美国）、Microsoft（美国）、SAS（美国）、AWS（美国）、MathWorks（美国）、Cloudera（美国）、Teradata（美国）、 TIBCO （美国）、Alteryx（美国）、RapidMiner（美国）、Databricks（美国）、Snowflake（美国）、H2O.ai（美国）、Altair（美国）、Anaconda（美国）、SAP（美国）、Domino Data Lab (美国)、Dataiku (美国)、DataRobot (美国)、Apheris (德国)、Comet (美国)、Databand (美国)、dotData (美国)、Explorium (美国)、Noogata (美国)、Tecton (美国)、Spell （美国）、Arrikto（美国）和Iterative（美国）。本节包含竞争格局的整体视图，包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。

如果您有任何客製化要求，请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

目录

第一章：前言

  • 报告说明
    • 客观的
    • 目标受众
    • 独特的销售主张 (USP) 和产品
  • 研究范围
  • 研究方法论
    • 市场研究过程
    • 市场研究方法论

第 2 章：执行摘要

  • 市集亮点
  • 全球市场概况

第 3 章：数据科学平台 - 产业分析

  • 简介 - 市场动态
  • 市场驱动因素
  • 市场限制
  • 机会
  • 产业动态
  • 波特五力分析
  • 市场吸引力分析
    • 按组件分類的市场吸引力分析
    • 按部署模式分類的市场吸引力分析
    • 按组织规模进行的市场吸引力分析
    • 按业务功能分類的市场吸引力分析
    • 按垂直领域分類的市场吸引力分析
    • 市场吸引力分析：按地区

第 4 章：价值链分析

  • 价值链分析
  • 原料分析
    • 原料清单
    • 原料厂商清单
    • 主要原物料价格走势
  • 潜在买家名单
  • 行销管道
    • 直效行销
    • 间接行销
    • 行销通路发展趋势

第 5 章：COVID-19 爆发的影响分析

第 6 章：全球资料科学平台市场分析：按组成部分

  • 按组件概述
  • 历史和预测数据
  • 按成分分析
  • 平台
  • 服务
  • 支援与维护
  • 咨询
  • 部署与集成

第 7 章：全球资料科学平台市场分析：依部署模式

  • 依部署模式概述
  • 历史和预测数据
  • 依部署模式分析
  • 云
  • 本地

第 8 章：全球资料科学平台市场分析：依组织规模

  • 按组织规模分類的概览
  • 历史和预测数据
  • 按组织规模分析
  • 中小企业
  • 大型企业

第 9 章：全球资料科学平台市场分析：依业务职能

  • 按业务功能分類的概述
  • 历史和预测数据
  • 按业务功能分析
  • 行销
  • 销售量
  • 后勤
  • 财会
  • 客户支援
  • 其他业务职能（人力资源和营运）

第 10 章：全球资料科学平台市场分析：按垂直领域

  • 按垂直领域概述
  • 历史和预测数据
  • 垂直分析
  • BFSI
  • 零售及电子商务
  • 电信及IT
  • 媒体与娱乐
  • 医疗保健和生命科学
  • 政府和国防
  • 製造业
  • 运输与物流
  • 能源和公用事业
  • 其他垂直行业（旅游和酒店、教育和研究）

第 11 章：全球资料科学平台市场分析：依地理位置

  • 顶尖公司股票分析
  • 介绍
  • 北美销售分析
    • 概述、历史和预测销售分析
    • 北美按细分市场销售分析
    • 北美按国家销售分析
    • 美国销售分析
    • 加拿大销售分析
    • 墨西哥销售分析
  • 欧洲销售分析
    • 概述、历史和预测销售分析
    • 欧洲按细分市场销售分析
    • 欧洲按国家销售分析
    • 英国销售分析
    • 法国销售分析
    • 德国销售分析
    • 义大利销售分析
    • 俄罗斯销售分析
    • 欧洲其他地区销售分析
  • 亚太地区销售分析
    • 概述、历史和预测销售分析
    • 亚太地区按细分市场销售分析
    • 亚太地区国家/地区销售分析
    • 中国销售分析
    • 印度销售分析
    • 日本销售分析
    • 韩国销售分析
    • 澳洲销售分析
    • 亚太地区其他地区销售分析
  • 拉丁美洲销售分析
    • 概述、历史和预测销售分析
    • 拉丁美洲按细分市场销售分析
    • 拉丁美洲按国家销售分析
    • 巴西销售分析
    • 阿根廷销售分析
    • 秘鲁销售分析
    • 智利销售分析
    • 拉丁美洲其他地区销售分析
  • 中东和非洲销售分析
    • 概述、历史和预测销售分析
    • 中东和非洲按细分市场销售分析
    • 中东和非洲国家销售分析
    • 沙乌地阿拉伯销售分析
    • 阿联酋销售分析
    • 以色列销售分析
    • 南非销售分析
    • 中东其他地区和非洲销售分析

第 12 章：数据科学平台公司的竞争格局

  • 数据科学平台市场竞争
  • 伙伴关係/协作/协议
  • 併购
  • 新产品发布
  • 其他发展

第 13 章：公司简介

  • 公司股份分析
  • 市场集中度
  • IBM(US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Google(US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Microsoft(US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • SAS(US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • AWS(US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • MathWorks (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Cloudera (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Teradata (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • TIBCO (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Alteryx (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • RapidMiner (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Databricks (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Snowflake (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • H2O.ai (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Altair (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Anaconda (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • SAP (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Domino Data Lab (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Dataiku (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • DataRobot (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Apheris (Germany)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Comet (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Databand (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • dotData (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Explorium (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Noogata (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Tecton (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Spell (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Arrikto (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Iterative (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展

注意 - 在公司概况中，财务详细资讯和近期发展视情况而定，或者如果是私人公司，则可能不包括在内

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.