市场占有率与预测：2023年至2028年全球资料科学与机器学习平台（2 份报告合集）

市场占有率说明

QKS 集团透露，资料科学和机器学习平台市场预计到2028年将实现 32%的年复合成长率。

随着各行各业对人工智慧（AI）和机器学习（ML）的采用日益广泛，资料科学和机器学习（DSML）平台市场在全球范围内正经历显着成长。组织利用这些平台从资料中获取洞察力、实现流程自动化并做出资料驱动的决策。全球市场的特点是Google、Microsoft、亚马逊和 IBM 等大型科技公司与 DataRobot、Databricks 和 H2O.ai 等新兴公司之间的激烈竞争。这些平台提供广泛的功能，包括资料准备、模型开发、部署和监控，满足技术和非技术使用者的需求。云端运算的兴起大幅促进了这一市场的扩张，实现了可扩展且经济高效的DSML 解决方案。此外，DSML 平台与巨量资料、物联网（IoT）和边缘运算等其他技术的整合进一步提高了其实用性并推动了需求。也加大对研发的投资，以改善平台的功能和使用者体验。预计全球年复合成长率约30%，DSML平台市场未来将持续快速扩张。

市场预测

QKS 集团透露，资料科学和机器学习平台市场预计到2028年将实现 32%的年复合成长率。

全球资料科学和机器学习平台市场预测显示，到2028年将具有良好的成长潜力。由于医疗保健、金融、零售和製造业等行业对高级分析和人工智慧驱动洞察的需求不断成长，这些平台将大幅扩张。推动该成长的因素包括巨量资料的爆炸性成长、预测分析的需求以及云端运算技术的进步。此外，将人工智慧和机器学习融入业务流程以实现更好的决策和营运效率，进一步推动市场成长。随着企业优先考虑资料驱动策略和数位转型计划，对强大基础设施的投资预计将飙升，形成以创新和可扩展为特征的竞争格局。

目录

市场占有率：

第1章 执行摘要

• 主要调查结果
• 关键预测
• 主要趋势
• 市场概况

第2章 市场概览

• 市场定义和范围
• 影响市场的主要因素
• 驱动因素和限制因素

第3章 全球市场占有率分析

• 全球资料科学与机器学习市场占有率分析

第4章 市场占有率分析

• 各地区市场占有率
• 市场占有率：全球
• 市场占有率：美国
• 市场占有率：加拿大
• 市场占有率：拉丁美洲
• 市场占有率：西欧
• 市场占有率：中欧和东欧
• 市场占有率：中东和非洲
• 市场占有率：中国
• 市场占有率：亚太地区（日本和中国除外）
• 市场占有率：日本
• 市场占有率：依行业
• 市场占有率：媒体与娱乐
• 市场占有率：零售
• 市场占有率：BFSI
• 市场占有率：旅游与旅馆业
• 市场占有率：教育
• 市场占有率：公共部门
• 市场占有率：医疗保健与生命科学
• 市场占有率：汽车
• 市场占有率：食品和饮料
• 市场占有率：依部署类型
• 市场占有率：本地
• 市场占有率：云端运算
• 市场占有率：依客户类型
• 市场占有率：中小型企业
• 市场占有率：大公司
• 市场占有率：企业

第5章 公司简介

• 公司简介
• 分析师的观点与分析

第6章 附录

• 研究方法

市场预测：

第1章 执行摘要

• 主要调查结果
• 关键预测
• 主要趋势
• 市场概况

第2章 市场概览

• 市场定义和范围
• 影响市场的主要因素
• 驱动因素和限制因素

第3章 市场预测分析

• 市场预测：依地区
• 市场预测：全球
• 市场预测：美国
• 市场预测：加拿大
• 市场预测：拉丁美洲
• 市场预测：西欧
• 市场预测：中欧与东欧
• 市场预测：中东与非洲
• 市场预测：中国
• 市场预测：亚太地区（日本和中国除外）
• 市场预测：日本
• 市场预测：依行业
• 市场预测：媒体与娱乐
• 市场预测：零售
• 市场预测：BFSI
• 市场预测：旅游与旅馆业
• 市场预测：教育
• 市场预测：公共部门
• 市场预测：医疗保健与生命科学
• 市场预测：汽车
• 市场预测：食品和饮料
• 市场预测：依部署类型
• 市场预测：本地
• 市场预测：云端
• 市场预测：依客户类型
• 市场预测：中小企业
• 市场预测：大型企业
• 市场预测：企业

第4章 公司简介

• 公司简介
• 分析师的观点与分析

第5章 附录

• 研究方法

This product includes two reports: Market Share and Market Forecast.

Market Share Description:

QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 32% by 2028.

The market for Data Science and Machine Learning (DSML) platforms is experiencing remarkable growth worldwide, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) across various industries. Organizations are leveraging these platforms to gain insights from their data, automate processes, and make data-driven decisions. The global market is characterized by strong competition among leading tech giants such as Google, Microsoft, Amazon, IBM, and emerging players like DataRobot, Databricks, and H2O.ai. These platforms offer a wide range of capabilities, including data preparation, model development, deployment, and monitoring, catering to both technical and non-technical users. The proliferation of cloud computing has significantly contributed to the market's expansion, enabling scalable and cost-effective DSML solutions. Additionally, the integration of DSML platforms with other technologies like big data, Internet of Things (IoT), and edge computing is further enhancing their utility and driving demand. The market is also seeing increased investments in research and development to improve platform functionalities and user experience. With an estimated global CAGR of around 30%, the DSML platforms market is set to continue its rapid expansion, reflecting the critical role of data science and machine learning in modern business strategies.

According to Quadrant Knowledge Solutions, "A data science and machine learning platform is an integrated system/hub built on both code-based libraries and low-code/no-code tools. This platform enables collaboration among data scientists and other stakeholders like data engineers and business analyst across different stages of the data science lifecycle, such as business understanding, data access and preparation, visualization, experimentation, model building, and insight generation. The platform facilitates machine learning engineering tasks, covering data pipeline development, feature engineering, deployment, testing and predictive analysis. The platform gives options between local clients, browsers, or completely managed cloud services to businesses depending upon their requirements."

Market Forecast Description:

QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 32% by 2028.

The market forecast for Data Science and Machine Learning Platforms worldwide shows promising growth potential up to 2028. With increasing demand for advanced analytics and AI-driven insights across various industries such as healthcare, finance, retail, and manufacturing, these platforms are poised for substantial expansion. Factors driving this growth include the proliferation of big data, the need for predictive analytics, and advancements in cloud computing technologies. Additionally, the integration of AI and machine learning into business processes to enhance decision-making and operational efficiency further propels market growth. As organizations prioritize data-driven strategies and digital transformation initiatives, investments in robust data science and machine learning platforms are expected to soar, creating a competitive landscape marked by innovation and scalability.

TABLE OF CONTENTS

Market Share:

Chapter 01: Executive Summary

• Key Research Findings
• Top Predictions
• Top Trends
• Market Summary

Chapter 02: Market Overview

• Market Definition and Scope
• Key Factors Impacting the Market
• Drivers & Restraints

Chapter 03: Market Share Analysis- Worldwide

• Global Data Science and Machine Learning Market Share Analysis

Chapter 04: Market Share Analysis

• Market Share by Region
• Market Share Worldwide
• Market Share USA
• Market Share Canada
• Market Share Latin America
• Market Share Western Europe
• Market Share Central & Eastern Europe
• Market Share Middle East & Africa
• Market Share China
• Market Share APAC Ex Japan & China
• Market Share Japan
• Market Share by Industry Verticals
• Market Share by Media & Entertainment
• Market Share by Retail
• Market Share by BFSI
• Market Share by Travel & Hospitality
• Market Share by Education
• Market Share by Public Sector
• Market Share by Healthcare & Life Science
• Market Share by Automotive
• Market Share by Food & Beverage
• Market Share by Deployment Type
• Market Share by Deployment Type: On prem
• Market Share by Deployment Type: Cloud
• Market Share by Customer Type
• Market Share by SMB
• Market Share by Large
• Market Share by Enterprise

Chapter 05: Company Profile

• Company Overview
• Analyst Perspectives and Analysis

Chapter 06: Appendix

• Research Methodologies

Market Forecast:

Chapter 01: Executive Summary

• Key Research Findings
• Top Predictions
• Top Trends
• Market Summary

Chapter 02: Market Overview

• Market Definition and Scope
• Key Factors Impacting the Market
• Drivers & Restraints

Chapter 03: Market Forecast Analysis

• Market Forecast by Region
• Market Forecast Global
• Market Forecast USA
• Market Forecast Canada
• Market Forecast Latin America
• Market Forecast Western Europe
• Market Forecast Central & Eastern Europe
• Market Forecast Middle East & Africa
• Market Forecast China
• Market Forecast APAC Ex Japan & China
• Market Forecast Japan
• Market Forecast by Industry Verticals
• Market Forecast by Media & Entertainment
• Market Forecast by Retail
• Market Forecast by BFSI
• Market Forecast by Travel & Hospitality
• Market Forecast by Education
• Market Forecast by Public Sector
• Market Forecast by Healthcare & Life Science
• Market Forecast by Automotive
• Market Forecast by Food & Beverage
• Market Forecast by Deployment Type
• Market Forecast by Deployment Type: On prem
• Market Forecast Deployment Type: Cloud
• Market Forecast by Customer Type
• Market Forecast by SMB
• Market Forecast by Large
• Market Forecast by Enterprise

Chapter 04: Company Profile

• Company Overview
• Analyst Perspectives and Analysis

Chapter 05: Appendix

• Research Methodologies

LIST OF FIGURES

Market Share:

• Fig. 1 Market Share of Data Science & Machine Learning Platforms Worldwide, 2023
• Fig. 2 Market Share of Data Science & Machine Learning Platforms USA, 2023
• Fig. 3 Market Share of Data Science & Machine Learning Platforms Canada, 2023
• Fig. 4 Market Share of Data Science & Machine Learning Platforms Latin America, 2023
• Fig. 5 Market Share of Data Science & Machine Learning Platforms Western Europe, 2023
• Fig. 6 Market Share of Data Science & Machine Learning Platforms Central & Eastern Europe, 2023
• Fig. 7 Market Share of Data Science & Machine Learning Platforms Middle East & Africa, 2023
• Fig. 8 Market Share of Data Science & Machine Learning Platforms Asia excluding Japan and China, 2023
• Fig. 9 Market Share of Data Science & Machine Learning Platforms Japan, 2023
• Fig. 10 Market Share of Data Science & Machine Learning Platforms China, 2023
• Fig. 11 Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
• Fig. 12 Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
• Fig. 13 Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
• Fig. 14 Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
• Fig. 15 Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
• Fig. 16 Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
• Fig. 17 Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
• Fig. 18 Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
• Fig. 19 Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
• Fig. 20 Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
• Fig. 21 Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
• Fig. 22 Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
• Fig. 23 Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023

Market Forecast:

• Fig. 1 Market Forecast of Data Science & Machine Learning Platforms Worldwide, 2024-2028
• Fig. 2 Market Forecast of Data Science & Machine Learning Platforms USA, 2024-2028
• Fig. 3 Market Forecast of Data Science & Machine Learning Platforms Canada, 2024-2028
• Fig. 4 Market Forecast of Data Science & Machine Learning Platforms Latin America, 2024-2028
• Fig. 5 Market Forecast of Data Science & Machine Learning Platforms Western Europe, 2024-2028
• Fig. 6 Market Forecast of Data Science & Machine Learning Platforms Central & Eastern Europe, 2024-2028
• Fig. 7 Market Forecast of Data Science & Machine Learning Platforms Middle East & Africa, 2024-2028
• Fig. 8 Market Forecast of Data Science & Machine Learning Platforms Asia excluding Japan and China, 2024-2028
• Fig. 9 Market Forecast of Data Science & Machine Learning Platforms Japan, 2024-2028
• Fig. 10 Market Forecast of Data Science & Machine Learning Platforms China, 2024-2028
• Fig. 11 Market Forecast of Data Science & Machine Learning Platforms IT & Telecom Industry, 2024-2028
• Fig. 12 Market Forecast of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2024-2028
• Fig. 13 Market Forecast of Data Science & Machine Learning Platforms Insurance Industry, 2024-2028
• Fig. 14 Market Forecast of Data Science & Machine Learning Platforms Healthcare Industry, 2024-2028
• Fig. 15 Market Forecast of Data Science & Machine Learning Platforms Government & Public Sector, 2024-2028
• Fig. 16 Market Forecast of Data Science & Machine Learning Platforms Retail & eCommerce, 2024-2028
• Fig. 17 Market Forecast of Data Science & Machine Learning Platforms Manufacturing, 2024-2028
• Fig. 18 Market Forecast of Data Science & Machine Learning Platforms Hospitality, 2024-2028
• Fig. 19 Market Forecast of Data Science & Machine Learning Platforms On-premises Deployment, 2024-2028
• Fig. 20 Market Forecast of Data Science & Machine Learning Platforms Cloud Deployment, 2024-2028
• Fig. 21 Market Forecast of Data Science & Machine Learning Platforms SMB Customers, 2024-2028
• Fig. 22 Market Forecast of Data Science & Machine Learning Platforms Large Customers, 2024-2028
• Fig. 23 Market Forecast of Data Science & Machine Learning Platforms Enterprise Customers, 2024-2028