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2030 年资料科学平台市场预测：按部署模式、组件、组织规模、用途、最终用户和区域进行的全球分析
市场调查报告书
商品编码
1359005

2030 年资料科学平台市场预测：按部署模式、组件、组织规模、用途、最终用户和区域进行的全球分析

Data Science Platform Market Forecasts to 2030 - Global Analysis By Deployment Mode, Component, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球资料科学平台市场规模为 1,505.7 亿美元，预计到 2030 年将达到 7,466.3 亿美元，预测期内复合年增长率为 25.7%。

资料科学平台是所有资料科学和资料分析活动的中心枢纽。资料科学平台提供专案生命週期每个阶段所需的所有工具，包括构思、设定、发现、模型开发和软体实作。资料科学家可以利用资料科学平台更快地执行、追踪、复製、分析和共用他们的工作。资料科学平台就是企业广泛使用的软体工具之一。

据储存解决方案提供商 Seagate 称，到 2025 年，全球创建的资料量将增加到 175 ZB。

巨量资料的使用迅速增加

随着社群媒体、物联网和其他媒体的发展，专业人士捕获的资料量不断扩大。资料科学平台正在产生大量的结构化和非结构化资料。一般来说，基于机器的资料和人类产生的资料的成长是传统企业资料的10倍，而机器资料的产生速度快50倍。资料提供的巨大成长为企业提供了获取新数据的机会，从而导致对新方法的需求不断增长，并在推动资料科学平台市场方面发挥关键作用。

缺乏技术熟练程度

在当今的商业环境中经常使用流分析、机器学习和预测分析等高级分析技术。然而，这些技术很困难，因为它们需要先进的分析能力。例如，创建机器学习模型需要技术专业知识、分析能力和批判性思考能力。不幸的是，许多最终用户缺乏知识渊博且技术熟练的员工。因此，缺乏技术知识和训练有素的人力资源预计将在不久的将来成为资料科学平台市场的主要挑战。

巨额投资和技术进步

据估计，研发方面的高投资将创造利润丰厚的市场机会，并加速资料科学平台市场的成长。此外，人工智慧（AI）、机器学习（ML）和物联网（IoT）等技术的快速发展为市场提供了广泛的成长机会。

业务问题的不确定性

公司必须使用资料科学平台对他们想要解决的问题进行广泛的研究。如果您不了解当前的业务问题，那么简单地选择资料并执行资料分析是没有效率的。使用资料科学平台做出资讯的决策的效率明显较低。此外，如果对实施资料科学平台的期望与目标不一致，那么即使目标明确，公司的努力也可能无效。在整个预期期间，这项特殊要素预计将带来一系列抑製成长的挑战。

COVID-19 的影响：

COVID-19将对市场扩张产生积极影响，并在整个预测期内提供丰富的扩张机会。这些机会包括资料应用的成长、企业对资料科学平台的需求以及尖端资料科学平台解决方案的推出。由于全面停摆，组织被迫走向数位化，为员工设立在家工作的负责人。由于 COVID-19 大流行，随着主要科技公司将自动化和智慧整合到其组织中，人们对资料科学平台的兴趣增加。

预计本地部门将成为预测期内最大的细分市场

预计本地细分市场的市场规模在预测期内将会增加。在经常在线上存取的远端电脑网路上管理、处理和储存资料的做法称为云端运算。企业主要在 BFSI、医疗保健、生命科学和製造等高度法规的领域中利用资料科学平台的本地部署策略。此外，拥有充足IT资源的大型企业预计将选择本地部署方式，加速市场成长。

大型企业领域预计在预测期内年复合成长率最高

预计大型企业部门在预测期内将出现良好的成长。大公司一般是指员工人数在1000人以上的公司。由于云端的日益普及，许多大型企业正在利用资料科学平台，而这一趋势预计将持续下去。大公司从不同的基本客群收集大量资料。在大型企业中，资料对于确定整个组织的绩效至关重要。由于上述因素，预计该领域将出现增长。

占比最大的地区：

预计北美在预测期内将占据最大的市场份额。各行业的主要企业正在向该地区扩张，预计这将加速市场扩张。此外，对最尖端科技的投资增加正在推动对产品的需求。由于主要市场参与者的存在，该地区的收入份额正在增加。此外，美国和加拿大持续投资于可以使用资料来支援业务决策的尖端解决方案。该地区的公司正在利用技术进行创新和扩大市场。

复合年复合成长率最高的地区：

预计亚太地区在预测期内将出现快速成长。巨量资料分析工具的采用预计将在各行业中迅速增加。鑑于资料分析工具的用途和使用案例众多，中国、韩国和印度等政府也正在投资这些工具。此外，由于行动数据流量增加导致资料数量和复杂性急剧增加，以及业务运营中新的物联网和人工智慧应用程式的增加，该地区各行业在其经济中的巨量资料技术支出将增加也因为这样的要素不断增长，这给市场带来了很多机会。

提供免费客製化

订阅此报告的客户将收到以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球资料科学平台市场：依部署模式

  • 云
  • 本地

第6章全球资料科学平台市场：按组成部分

  • 咨询
  • 部署与整合
  • 平台
  • 支援与维护
  • 服务
    • 专业的服务
    • 管理服务

第7章全球资料科学平台市场：依组织规模

  • 中小企业
  • 大公司

第8章全球资料科学平台市场：依用途

  • 客户支援
  • 财会
  • 人力资源和运营
  • 后勤
  • 行销
  • 销售
  • 其他用途

第9章全球资料科学平台市场：依最终用户分类

  • 银行、金融服务和保险 (BFSI)
  • 能源和公用事业
  • 政府和国防
  • 医疗保健和生命科学
  • 资讯科技和通讯
  • 製造业
  • 媒体和娱乐
  • 零售与电子商务
  • 运输和物流
  • 其他最终用户

第10章全球资料科学平台市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第11章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第12章公司简介

  • Altair Inc.
  • Alteryx Inc.
  • Amazon Web Services, Inc.
  • Anaconda Inc.
  • Apheris AI GmbH
  • Arrikto Inc.
  • Cloudera Inc.
  • Databand
  • Databricks
  • Dataiku
  • DataRobot Inc.
  • Domino Data Lab Inc.
  • Explorium Inc.
  • Google Inc
  • H2O.ai
  • IBM Corporation
  • Iterative
  • MathWorks, Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • RapidMiner
  • SAP SE
  • Teradata
Product Code: SMRC23877

According to Stratistics MRC, the Global Data Science Platform Market is accounted for $150.57 billion in 2023 and is expected to reach $746.63 billion by 2030 growing at a CAGR of 25.7% during the forecast period. Data science platform serves as a central hub for all data science and data analysis activities. The data science platform provides all the tools necessary for every stage of a project's life cycle, including ideation, setup, discovery, model development, and software implementation. Data scientists can more quickly run, track, replicate, analyze, and share their work due to the data science platform. The data science platform is one such software tool that is widely used by businesses.

According to Seagate, the storage solutions provider, the volume of data created worldwide will grow to 175 ZB by 2025.

Market Dynamics:

Driver:

Soaring use of big data

As there is growth in social media, IOT, and other media, the amount of data that professionals capture is constantly expanding. A massive flow of structured and unstructured data has been produced by data science platforms. In general, the growth of machine-based and human-generated data is 10 times greater than that of traditional corporate data, and the rate at which machine data is produced is 50 times faster. The enormous growth in data offerings provides opportunities for businesses to acquire new things, which led to a rise in demand for novel approaches and plays a critical role in driving the market for data science platforms.

Restraint:

Lack of technical proficiency

Advanced analytics techniques like streaming analytics, machine learning, and predictive analytics are frequently used in the current business environment. These techniques do, however, pose difficulties because they call for a high level of analytical proficiency. For instance, creating a machine learning model requires technical expertise, analytical prowess, and critical thinking skills. Unfortunately, many end users do not have staff members who are knowledgeable and skilled. Therefore, it is anticipated that the lack of technical know-how and trained personnel will pose a significant challenge for the market for data science platforms in the near future.

Opportunity:

High investment and technological advancements

According to estimates, the substantial investment in research and development will create profitable market opportunities and accelerate the growth of the data science platform market. Further, the market is presented with a wide range of growth opportunities due to the quick development of technologies like artificial intelligence (AI), machine learning (ML), and the internet of things (IoT).

Threat:

Uncertainty regarding the business issues

Businesses must do extensive research on the problems they want to use a data science platform to solve. Simply selecting datasets and performing data analysis can have low productivity if the business problem at hand is not understood. Making informed decisions using a data science platform is significantly less effective. A company's efforts may also be ineffective even if it has a clearly defined goal in mind if its expectations for the implementation of a data science platform do not match its goals. Throughout the anticipated period, it is anticipated that this particular factor will produce a number of growth-impeding challenges.

COVID-19 Impact:

The COVID-19 had a favorable impact on market expansion and will offer an abundance of opportunity for expansion throughout the forecast period. These opportunities include the rise in data applications, the demand for data science platforms in enterprises, and the introduction of cutting-edge data science platform solutions. Organizations were forced to move toward digitalization in order to set up work-from-home officers for their employees due to the general lockdown. As the major technology companies integrate automation and intelligence into their organizations as a result of the COVID-19 pandemic, this is driving interest in data science platforms.

The On-premises segment is expected to be the largest during the forecast period

Over the projection period, it is predicted that the on-premises segment will experience a larger market size. The practice of managing, processing, and storing data over networks of distant computers that are frequently accessed online is known as cloud computing. Businesses primarily use the data science platform's on-premises deployment strategy in highly regulated sector verticals like BFSI, healthcare and life sciences, and manufacturing. Additionally, it is anticipated that large businesses with sufficient IT resources will select the on-premises deployment approach, which is accelerating market growth.

The large enterprises segment is expected to have the highest CAGR during the forecast period

During the forecast period, it is expected that the large enterprises segment will experience lucrative growth. Large companies are generally defined as those with more than or equal to 1,000 employees. Numerous large companies are utilizing the data science platform as a result of the cloud's rising popularity, and this trend is anticipated to continue. Massive amounts of data are gathered by large companies from their diverse customer bases. In large businesses, data is essential for determining how well an organization is performing overall. The aforementioned elements are expected to cause the segment to grow.

Region with largest share:

Over the forecast period, North America is anticipated to dominate the largest market share. Key players from a variety of industries are present in this region, which is anticipated to accelerate market expansion. Additionally, rising investments in cutting-edge technologies are driving up product demand. The region's revenue share is increased by the presence of major market players there. Furthermore, the United States and Canada are consistently investing in a cutting-edge solution that can use data to aid in business decision-making. Companies in the area are utilizing technology to innovate and expand their markets.

Region with highest CAGR:

During the forecast period, a rapid growth rate is anticipated in the Asia-Pacific region. It is expected that the adoption of big data analytics tools will increase quickly across industries. In light of the numerous applications and use cases for data analytics tools, the governments of China, South Korea, India, and other countries are also making investments in these tools. Additionally, the industry in this region is also growing as a result of factors like increased spending on big data technologies in economies due to the rapid rise in the volume and complexity of numbers as a result of the increase in mobile data traffic and new IoT and AI applications in business operations, which are opening up a lot of opportunities for the market.

Key players in the market:

Some of the key players in Data Science Platform Market include: Altair Inc., Alteryx Inc., Amazon Web Services, Inc., Anaconda Inc., Apheris AI GmbH, Arrikto Inc., Cloudera Inc., Databand, Databricks, Dataiku, DataRobot Inc., Domino Data Lab Inc., Explorium Inc., Google Inc, H2O.ai, IBM Corporation, Iterative, MathWorks, Inc., Microsoft Corporation, Oracle Corporation, RapidMiner, SAP SE and Teradata.

Key Developments:

In September 2023, Anaconda is excited to announce the public release of Anaconda Assistant, an AI-powered Jupiter notebook extension designed to enhance the productivity of data scientists, developers, and researchers. Anaconda Assistant is now available to all users of Anaconda cloud notebooks. Powered by the same large language model behind ChatGPT, the Assistant provides an intuitive chat interface to help generate, explain, or debug code, learn new topics, and more.

In August 2023, Altair, a global leader in computational science and artificial intelligence (AI), announced that Lydonia Technologies, the leading provider of hyperautomation software and solutions, has joined its growing channel partner network. Lydonia Technologies will offer Altair® RapidMiner® - Altair's data analytics and AI platform - as well as Altair SLC™, an alternative SAS language environment, to customers in the U.S. Specializing in hyperautomation services and solutions, Lydonia Technologies helps companies increase the automation of their business processes through AI, machine learning, and robotic process automation (RPA).

In August 2023, Alteryx, Inc. the Analytics Cloud Platform company, is expanding its partnership with Google Cloud to provide Looker Studio users with native access to a free limited version of Alteryx Designer Cloud's AI-powered data preparation capabilities and enhanced connectivity. This new integration builds on Alteryx and Google Cloud's commitment to make it easier for customers to surface critical insights for decision-makers in a timely manner, resulting in actions that can improve business outcomes.

Deployment Modes Covered:

  • Cloud
  • On-premises

Components Covered:

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

Organization Sizes Covered:

  • Small and Medium-Sized Enterprises
  • Large Enterprises

Applications Covered:

  • Customer Support
  • Finance and Accounting
  • Human Resources and Operations
  • Logistics
  • Marketing
  • Sales
  • Other Applications

End Users Covered:

  • Banking, Financial Services and Insurance (BFSI)
  • Energy and Utilities
  • Government and Defense
  • Healthcare and Life Sciences
  • Information Technology and Telecommunication
  • Manufacturing
  • Media and Entertainment
  • Retail and e-Commerce
  • Transportation and Logistics
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Science Platform Market, By Deployment Mode

  • 5.1 Introduction
  • 5.2 Cloud
  • 5.3 On-premises

6 Global Data Science Platform Market, By Component

  • 6.1 Introduction
  • 6.2 Consulting
  • 6.3 Deployment and Integration
  • 6.4 Platform
  • 6.5 Support and Maintenance
  • 6.6 Services
    • 6.6.1 Professional Services
    • 6.6.2 Managed Services

7 Global Data Science Platform Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small and Medium-Sized Enterprises
  • 7.3 Large Enterprises

8 Global Data Science Platform Market, By Application

  • 8.1 Introduction
  • 8.2 Customer Support
  • 8.3 Finance and Accounting
  • 8.4 Human Resources and Operations
  • 8.5 Logistics
  • 8.6 Marketing
  • 8.7 Sales
  • 8.8 Other Applications

9 Global Data Science Platform Market, By End User

  • 9.1 Introduction
  • 9.2 Banking, Financial Services and Insurance (BFSI)
  • 9.3 Energy and Utilities
  • 9.4 Government and Defense
  • 9.5 Healthcare and Life Sciences
  • 9.6 Information Technology and Telecommunication
  • 9.7 Manufacturing
  • 9.8 Media and Entertainment
  • 9.9 Retail and e-Commerce
  • 9.10 Transportation and Logistics
  • 9.11 Other End Users

10 Global Data Science Platform Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Altair Inc.
  • 12.2 Alteryx Inc.
  • 12.3 Amazon Web Services, Inc.
  • 12.4 Anaconda Inc.
  • 12.5 Apheris AI GmbH
  • 12.6 Arrikto Inc.
  • 12.7 Cloudera Inc.
  • 12.8 Databand
  • 12.9 Databricks
  • 12.10 Dataiku
  • 12.11 DataRobot Inc.
  • 12.12 Domino Data Lab Inc.
  • 12.13 Explorium Inc.
  • 12.14 Google Inc
  • 12.15 H2O.ai
  • 12.16 IBM Corporation
  • 12.17 Iterative
  • 12.18 MathWorks, Inc.
  • 12.19 Microsoft Corporation
  • 12.20 Oracle Corporation
  • 12.21 RapidMiner
  • 12.22 SAP SE
  • 12.23 Teradata

List of Tables

  • Table 1 Global Data Science Platform Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Data Science Platform Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 3 Global Data Science Platform Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 4 Global Data Science Platform Market Outlook, By On-premises (2021-2030) ($MN)
  • Table 5 Global Data Science Platform Market Outlook, By Component (2021-2030) ($MN)
  • Table 6 Global Data Science Platform Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 7 Global Data Science Platform Market Outlook, By Deployment and Integration (2021-2030) ($MN)
  • Table 8 Global Data Science Platform Market Outlook, By Platform (2021-2030) ($MN)
  • Table 9 Global Data Science Platform Market Outlook, By Support and Maintenance (2021-2030) ($MN)
  • Table 10 Global Data Science Platform Market Outlook, By Services (2021-2030) ($MN)
  • Table 11 Global Data Science Platform Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 12 Global Data Science Platform Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 13 Global Data Science Platform Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 14 Global Data Science Platform Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 15 Global Data Science Platform Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 16 Global Data Science Platform Market Outlook, By Application (2021-2030) ($MN)
  • Table 17 Global Data Science Platform Market Outlook, By Customer Support (2021-2030) ($MN)
  • Table 18 Global Data Science Platform Market Outlook, By Finance and Accounting (2021-2030) ($MN)
  • Table 19 Global Data Science Platform Market Outlook, By Human Resources and Operations (2021-2030) ($MN)
  • Table 20 Global Data Science Platform Market Outlook, By Logistics (2021-2030) ($MN)
  • Table 21 Global Data Science Platform Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 22 Global Data Science Platform Market Outlook, By Sales (2021-2030) ($MN)
  • Table 23 Global Data Science Platform Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 24 Global Data Science Platform Market Outlook, By End User (2021-2030) ($MN)
  • Table 25 Global Data Science Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2021-2030) ($MN)
  • Table 26 Global Data Science Platform Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 27 Global Data Science Platform Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 28 Global Data Science Platform Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 29 Global Data Science Platform Market Outlook, By Information Technology and Telecommunication (2021-2030) ($MN)
  • Table 30 Global Data Science Platform Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 31 Global Data Science Platform Market Outlook, By Media and Entertainment (2021-2030) ($MN)
  • Table 32 Global Data Science Platform Market Outlook, By Retail and e-Commerce (2021-2030) ($MN)
  • Table 33 Global Data Science Platform Market Outlook, By Transportation and Logistics (2021-2030) ($MN)
  • Table 34 Global Data Science Platform Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.