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市场调查报告书
商品编码
1541324

2024-2032 年按组件、应用、垂直产业和地区分類的数据科学平台市场报告

Data Science Platform Market Report by Component, Application, Vertical, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 144 Pages | 商品交期: 2-3个工作天内

价格

2023 年，全球资料科学IMARC Group市场规模达到 118 亿美元。医疗保健产业中资料科学平台的利用率不断上升，各种商业组织对基于云端的程式的需求不断增长，以及资料科学平台中先进技术的不断整合是推动市场的一些关键因素。

资料科学平台是一个综合性的软体和硬体基础设施，提供资料科学过程各个方面所需的工具、技术和资源。数据科学是一个多学科领域，涉及收集、清理、分析和解释资料，以提取有价值的见解并做出数据驱动的决策。这些平台包括资料提取、转换和载入 (ETL) 工具，以及资料库、资料仓储、API 和其他资料来源的连接器。他们还提供广泛的机器学习演算法和建模工​​具，用于建立预测和描述模型。

目前，由于数据科学平台能够有效分析、监督和整合大量结构化和非结构化资料，医疗保健产业越来越多地采用资料科学平台，这主要推动了市场的成长。此外，全球不同商业实体对基于云端的解决方案的日益偏好正在培育有利的市场格局。此外，全球范围内对具有成本效益、高效且增强的决策工具的需求不断增长。需求的激增，加上资料科学平台利用率的不断扩大，增强了企业分析和生产力，正在推动市场成长。此外，人工智慧 (AI)、物联网 (IoT) 和机器学习 (ML) 与资料科学平台的集成为行业利益相关者带来了利润丰厚的成长机会。此外，人们对资料科学平台的需求日益增长，这些平台提供了一种一致且整合的方法来建立、管理和优化企业预测模型，正在对市场产生积极影响。此外，在巨量资料技术发展的推动下，对资料科学平台的需求不断增长，也促进了市场的扩张。此外，由于银行服务利用率的不断提高，BFSI 领域对资料科学平台的需求不断增加，这进一步加强了市场的成长。

数据科学平台市场趋势/驱动因素：

医疗保健产业资料科学平台的使用率不断提高

医疗保健会产生大量资料，包括结构化数据（患者记录）和非结构化数据，例如医学影像和临床记录。数据科学平台使医疗保健提供者能够有效地分析、管理和吸收这些丰富的资讯。例如，他们可以使用资料分析来识别患者群体的趋势、模式和潜在的健康风险。此外，这些平台使医疗保健专业人员能够利用预测分析。他们可以预测疾病爆发，识别可能需要更多关注的高风险患者，甚至预测患者的治疗结果。这种预测能力增强了病患照护和资源分配。此外，在製药和生物技术领域，资料科学平台在药物发现和开发方面发挥重要作用。研究人员可以分析遗传资料、临床试验结果和药物交互作用，以加快将新疗法推向市场的进程。

各种商业组织对基于云端的程式的需求不断增长

基于云端的平台提供可扩展性来处理大型资料集和运算需求。企业可以根据需要扩大或缩小其资源，从而提供管理资料科学专案的灵活性。此外，这些解决方案通常需要较低的硬体和基础设施前期投资。这种成本效益吸引了各种规模的组织，尤其是新创公司和小型企业。此外，基于云端的平台支援远端访问，促进地理位置分散的团队之间的协作。这种可访问性在当今全球化的商业环境中至关重要。此外，云端供应商负责软体更新和基础设施维护，减轻内部 IT 团队的负担，并确保组织始终能够存取最新的功能和安全性修补程式。

资料科学平台中先进技术的不断集成

人工智慧和机器学习演算法正在成为资料科学平台不可或缺的一部分。它们支援自动化、预测建模、自然语言处理和异常检测。这些高级功能对于从复杂的资料集中提取有价值的见解至关重要。此外，随着物联网设备在各行业的激增，资料科学平台正在适应处理这些设备产生的大量资料。他们可以分析来自感测器、设备和机器的资料，以提供即时见解并改善决策。此外，先进的技术使资料科学平台能够提供更复杂的资料视觉化技术。这增强了向利害关係人有效传达见解的能力。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球资料科学平台市场

  • 市场概况
  • 市场表现
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：按组成部分

  • 软体
    • 市场趋势
    • 市场预测
  • 服务
    • 市场趋势
    • 市场预测

第 7 章：市场区隔：按应用

  • 行销与销售
    • 市场趋势
    • 市场预测
  • 后勤
    • 市场趋势
    • 市场预测
  • 财会
    • 市场趋势
    • 市场预测
  • 客户支援
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 8 章：市场区隔：依垂直领域

  • 资讯科技和电信
    • 市场趋势
    • 市场预测
  • 卫生保健
    • 市场趋势
    • 市场预测
  • BFSI
    • 市场趋势
    • 市场预测
  • 製造业
    • 市场趋势
    • 市场预测
  • 零售与电子商务
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 9 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场趋势
    • 市场细分：按国家/地区
    • 市场预测

第 10 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 11 章：价值链分析

第 12 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 13 章：价格分析

第14章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Alteryx Inc.
    • Cloudera Inc.
    • Dataiku Inc.
    • Google LLC (Alphabet Inc.)
    • H2O.ai Inc.
    • International Business Machines Corporation
    • Microsoft Corporation
    • RapidMiner Inc.
    • SAP SE
    • SAS Institute Inc.
    • The MathWorks Inc.
    • TIBCO Software Inc.
Product Code: SR112024A3601

The global data science platform market size reached US$ 11.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 119.9 Billion by 2032, exhibiting a growth rate (CAGR) of 28.5% during 2024-2032. The rising utilization of data science platforms in the healthcare industry, the growing demand for cloud-based programs in various business organizations, and the rising integration of advanced technologies in data science platforms represent some of the key factors driving the market.

A data science platform is a comprehensive software and hardware infrastructure that provides the tools, technologies, and resources necessary for various aspects of the data science process. Data science is a multidisciplinary field that involves collecting, cleaning, analyzing, and interpreting data to extract valuable insights and make data-driven decisions. These platforms include tools for data extraction, transformation, and loading (ETL), as well as connectors to databases, data warehouses, APIs, and other data sources. They also offer a wide range of machine learning algorithms and modeling tools for building predictive and descriptive models.

Currently, the increased adoption of data science platforms within the healthcare sector, owing to their ability to efficiently analyze, oversee, and integrate vast volumes of structured and unstructured data is primarily driving the market growth. Furthermore, the increasing preference for cloud-based solutions across diverse global business entities is fostering a favorable market landscape. Additionally, there is a growing demand for cost-effective, efficient, and enhanced decision-making tools on a global scale. This surge in demand, coupled with the expanding utilization of data science platforms, which enhance enterprise analysis and productivity, is propelling market growth. Moreover, the integration of artificial intelligence (AI), the internet of things (IoT), and machine learning (ML) into data science platforms is presenting lucrative growth opportunities for industry stakeholders. Furthermore, the increasing appetite for data science platforms, which offer a cohesive and integrated approach to constructing, managing, and optimizing predictive models for businesses, is exerting a positive influence on the market. Additionally, the escalating demand for data science platforms, driven by the evolution of big data technologies, is contributing to market expansion. Furthermore, the heightened need for data science platforms within the BFSI sector due to the growing utilization of banking services is further strengthening the market growth.

Data Science Platform Market Trends/Drivers:

Rising utilization of data science platforms in the healthcare industry

Healthcare generates an enormous amount of data, both structured (patient records) and unstructured such as medical images and clinical notes. Data science platforms enable healthcare providers to effectively analyze, manage, and assimilate this wealth of information. For instance, they can use data analytics to identify trends, patterns, and potential health risks among patient populations. Besides, these platforms empower healthcare professionals to leverage predictive analytics. They can forecast disease outbreaks, identify high-risk patients who may require more attention, and even predict patient outcomes. This predictive capability enhances patient care and resource allocation. Moreover, in the pharmaceutical and biotechnology sectors, data science platforms are instrumental in drug discovery and development. Researchers can analyze genetic data, clinical trial results, and drug interactions to accelerate the process of bringing new treatments to market.

Growing demand for cloud-based programs in various business organizations

Cloud-based platforms offer scalability to handle large datasets and computational demands. Businesses can scale their resources up or down as needed, providing flexibility in managing their data science projects. Besides, these solutions often require lower upfront investment in hardware and infrastructure. This cost-effectiveness appeals to organizations of all sizes, especially startups and small businesses. Moreover, cloud-based platforms enable remote access, facilitating collaboration among geographically dispersed teams. This accessibility is crucial in today's globalized business environment. Additionally, cloud providers handle software updates and infrastructure maintenance, reducing the burden on in-house IT teams and ensuring that organizations always have access to the latest features and security patches.

Rising integration of advanced technologies in data science platforms

AI and ML algorithms are becoming integral parts of data science platforms. They enable automation, predictive modeling, natural language processing, and anomaly detection. These advanced capabilities are essential for extracting valuable insights from complex datasets. Moreover, with the proliferation of IoT devices in various industries, data science platforms are adapting to handle the massive influx of data generated by these devices. They can analyze data from sensors, devices, and machines to provide real-time insights and improve decision-making. Besides, advanced technologies enable data science platforms to offer more sophisticated data visualization techniques. This enhances the ability to convey insights to stakeholders effectively.

Data Science Platform Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on component, application and vertical.

Breakup by Component:

Software

Services

Software represents the most popular component

The report has provided a detailed breakup and analysis of the market based on the component. This includes software and services. According to the report, software represented the largest segment.

Data science software offers a wide range of tools and capabilities for data collection, cleaning, analysis, modeling, and visualization. It provides data scientists with the flexibility to perform a multitude of tasks within a single platform. Moreover, it is readily available and accessible to organizations of all sizes. Many software solutions are user-friendly, making them accessible to both data science experts and those with less technical expertise. Besides, software solutions can be scaled up or down to accommodate different data volumes and complexities. This scalability is crucial in handling the ever-increasing amount of data generated by organizations.

Breakup by Application:

Marketing and Sales

Logistics

Finance and Accounting

Customer Support

Others

Marketing and sales hold the largest market share

A detailed breakup and analysis of the market based on the application has also been provided in the report. This includes marketing and sales, logistics, finance and accounting, customer support, and others. According to the report, marketing and sales represented the largest segment.

Marketing and sales are inherently data-intensive fields. They heavily rely on data to make informed decisions about product development, pricing strategies, customer segmentation, and sales forecasting. Data science platforms provide the tools and capabilities to process and analyze vast datasets, enabling more accurate and data-driven decision-making. Besides, understanding customer behavior, preferences, and needs is critical for effective marketing and sales strategies. Data science platforms help organizations gather, analyze, and extract actionable insights from customer data. This allows businesses to tailor their marketing campaigns and sales efforts to target specific customer segments more effectively. Moreover, these platforms assist in optimizing marketing campaigns by analyzing campaign performance metrics and identifying which strategies are most effective. This allows marketers to allocate resources to the most successful campaigns and refine their approaches in real-time.

Breakup by Vertical:

IT and Telecommunication

Healthcare

BFSI

Manufacturing

Retail and E-Commerce

Others

BFSI accounts for the majority of market share

A detailed breakup and analysis of the market based on the vertical has also been provided in the report. This includes IT and telecommunication, healthcare, BFSI, manufacturing, retail and e-commerce, and others. According to the report, BFSI represented the largest segment.

The BFSI industry deals with vast volumes of data, including customer transactions, financial records, market data, and risk assessments. Data science platforms are essential for processing and analyzing this extensive data to extract valuable insights, detect fraudulent activities, and make informed decisions. Besides, risk assessment is a critical aspect of the BFSI sector. Data science platforms equipped with machine learning and predictive analytics help banks and financial institutions assess and mitigate risks effectively. These platforms can identify potential credit defaults, market fluctuations, and fraudulent transactions, which is crucial for maintaining financial stability.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America leads the market, accounting for the majority of the data science platform market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market.

North America, particularly the United States, is home to many technology hubs such as Silicon Valley, which is known for innovation and technological advancements. This region fosters a fertile ground for the development and adoption of cutting-edge data science technologies and platforms. Moreover, the region hosts a vast number of large enterprises, including Fortune 500 companies, across various industries. These enterprises have substantial budgets and resources to invest in data science platforms to gain a competitive edge, improve operational efficiency, and drive innovation. Besides, North America leads in research and development activities related to data science and artificial intelligence (AI). Leading universities, research institutions, and tech companies in the region continually push the boundaries of data science capabilities, leading to the development of state-of-the-art platforms and tools.

Competitive Landscape:

The competitive landscape of the market is characterized by the presence of multiple players that include established brands, emerging startups, and specialty manufacturers. Presently, leading companies are investing in research and development to enhance their data science platforms. They are introducing new features, tools, and capabilities to stay ahead of evolving industry trends and customer demands. This includes the integration of artificial intelligence (AI), machine learning (ML), and automation to improve data analytics and predictive modeling. Besides, many key players are expanding their cloud-based data science platform offerings. Cloud platforms provide scalability, flexibility, and accessibility, which are highly valued by businesses. This expansion enables organizations to harness the power of data science without significant infrastructure investments. Moreover, they are acquiring innovative startups and smaller companies in the data science and analytics space. These acquisitions enable them to quickly gain access to cutting-edge technologies, talent, and customer bases.

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Alteryx Inc.

Cloudera Inc.

Dataiku Inc.

Google LLC (Alphabet Inc.)

H2O.ai Inc.

International Business Machines Corporation

Microsoft Corporation

RapidMiner Inc.

SAP SE

SAS Institute Inc.

The MathWorks Inc.

TIBCO Software Inc.

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Recent Developments:

In November 2022, Alteryx Inc., launched innovations in analytics and data science automation, analytics in the cloud, machine learning (ML), and artificial intelligence (AI) during the company's Virtual Global Inspire conference. The new designer interface will be powered by the Alteryx Analytics Cloud platform, providing all cloud users access to the browser-based no-code analytics tool, with in-database pushdown processing for cloud data warehouses.

In September 2021, Microsoft updates Microsoft Machine Learning Studio which adds a new PyTorch extension library for agile deep learning experimentation.

In September 2021, MathWorks updated The MATLAB and Simulink product families. They included new and updated features and functions major improvements, code refactoring and block editing, and the ability to run Python commands and scripts from MATLAB.

Key Questions Answered in This Report

  • 1. How big is the global data science platform market?
  • 2. What is the expected growth rate of the global data science platform market during 2024-2032?
  • 3. What are the key factors driving the global data science platform market?
  • 4. What has been the impact of COVID-19 on the global data science platform market?
  • 5. What is the breakup of the global data science platform market based on the component?
  • 6. What is the breakup of the global data science platform market based on the application?
  • 7. What is the breakup of the global data science platform market based on the vertical?
  • 8. What are the key regions in the global data science platform market?
  • 9. Who are the key players/companies in the global data science platform market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Data Science Platform Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Application

  • 7.1 Marketing and Sales
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Logistics
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Finance and Accounting
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Customer Support
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Others
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast

8 Market Breakup by Vertical

  • 8.1 IT and Telecommunication
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Healthcare
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 BFSI
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Manufacturing
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Retail and E-Commerce
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Others
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Alteryx Inc.
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
      • 14.3.1.3 Financials
    • 14.3.2 Cloudera Inc.
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
    • 14.3.3 Dataiku Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 Google LLC (Alphabet Inc.)
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
      • 14.3.4.3 SWOT Analysis
    • 14.3.5 H2O.ai Inc.
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
    • 14.3.6 International Business Machines Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.4 SWOT Analysis
    • 14.3.7 Microsoft Corporation
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 RapidMiner Inc.
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
    • 14.3.9 SAP SE
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 SAS Institute Inc.
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 SWOT Analysis
    • 14.3.11 The MathWorks Inc.
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
    • 14.3.12 TIBCO Software Inc.
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio
      • 14.3.12.3 SWOT Analysis

List of Figures

  • Figure 1: Global: Data Science Platform Market: Major Drivers and Challenges
  • Figure 2: Global: Data Science Platform Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Data Science Platform Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Data Science Platform Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Data Science Platform Market: Breakup by Application (in %), 2023
  • Figure 6: Global: Data Science Platform Market: Breakup by Vertical (in %), 2023
  • Figure 7: Global: Data Science Platform Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Data Science Platform (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Data Science Platform (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Data Science Platform (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Data Science Platform (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Data Science Platform (Marketing and Sales) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Data Science Platform (Marketing and Sales) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Data Science Platform (Logistics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Data Science Platform (Logistics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Data Science Platform (Finance and Accounting) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Data Science Platform (Finance and Accounting) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Data Science Platform (Customer Support) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Data Science Platform (Customer Support) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Data Science Platform (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Data Science Platform (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Data Science Platform (IT and Telecommunication) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Data Science Platform (IT and Telecommunication) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Data Science Platform (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Data Science Platform (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Data Science Platform (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Data Science Platform (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Data Science Platform (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Data Science Platform (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Data Science Platform (Retail and E-commerce) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Data Science Platform (Retail and E-commerce) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Data Science Platform (Other Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Data Science Platform (Other Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: North America: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: North America: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: United States: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: United States: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Canada: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Canada: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Asia-Pacific: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Asia-Pacific: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: China: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: China: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Japan: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Japan: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: India: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: India: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: South Korea: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: South Korea: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Australia: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Australia: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Indonesia: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Indonesia: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Others: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Others: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Europe: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Europe: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: Germany: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: Germany: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: France: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: France: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: United Kingdom: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: United Kingdom: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Italy: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Italy: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Spain: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Spain: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Russia: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Russia: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Others: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Others: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Latin America: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Latin America: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Brazil: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Brazil: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Mexico: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Mexico: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Others: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Others: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Middle East and Africa: Data Science Platform Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Middle East and Africa: Data Science Platform Market: Breakup by Country (in %), 2023
  • Figure 82: Middle East and Africa: Data Science Platform Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Global: Data Science Platform Industry: SWOT Analysis
  • Figure 84: Global: Data Science Platform Industry: Value Chain Analysis
  • Figure 85: Global: Data Science Platform Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Data Science Platform Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Data Science Platform Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Data Science Platform Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 4: Global: Data Science Platform Market Forecast: Breakup by Vertical (in Million US$), 2024-2032
  • Table 5: Global: Data Science Platform Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Data Science Platform Market: Competitive Structure
  • Table 7: Global: Data Science Platform Market: Key Players