市場佔有率與預測：2023年至2028年全球資料科學與機器學習平台（2 份報告合集）

市場佔有率說明

QKS 集團透露，資料科學和機器學習平台市場預計到2028年將實現 32%的年複合成長率。

隨著各行各業對人工智慧（AI）和機器學習（ML）的採用日益廣泛，資料科學和機器學習（DSML）平台市場在全球範圍內正經歷顯著成長。組織利用這些平台從資料中獲取洞察力、實現流程自動化並做出資料驅動的決策。全球市場的特點是Google、Microsoft、亞馬遜和 IBM 等大型科技公司與 DataRobot、Databricks 和 H2O.ai 等新興公司之間的激烈競爭。這些平台提供廣泛的功能，包括資料準備、模型開發、部署和監控，滿足技術和非技術使用者的需求。雲端運算的興起大幅促進了這一市場的擴張，實現了可擴展且經濟高效的DSML 解決方案。此外，DSML 平台與巨量資料、物聯網（IoT）和邊緣運算等其他技術的整合進一步提高了其實用性並推動了需求。也加大對研發的投資，以改善平台的功能和使用者體驗。預計全球年複合成長率約30%，DSML平台市場未來將持續快速擴張。

市場預測

QKS 集團透露，資料科學和機器學習平台市場預計到2028年將實現 32%的年複合成長率。

全球資料科學和機器學習平台市場預測顯示，到2028年將具有良好的成長潛力。由於醫療保健、金融、零售和製造業等行業對高級分析和人工智慧驅動洞察的需求不斷成長，這些平台將大幅擴張。推動該成長的因素包括巨量資料的爆炸性成長、預測分析的需求以及雲端運算技術的進步。此外，將人工智慧和機器學習融入業務流程以實現更好的決策和營運效率，進一步推動市場成長。隨著企業優先考慮資料驅動策略和數位轉型計劃，對強大基礎設施的投資預計將飆升，形成以創新和可擴展為特徵的競爭格局。

目錄

市場佔有率：

第1章 執行摘要

• 主要調查結果
• 關鍵預測
• 主要趨勢
• 市場概況

第2章 市場概覽

• 市場定義和範圍
• 影響市場的主要因素
• 驅動因素和限制因素

第3章 全球市場佔有率分析

• 全球資料科學與機器學習市場佔有率分析

第4章 市場佔有率分析

• 各地區市場佔有率
• 市場佔有率：全球
• 市場佔有率：美國
• 市場佔有率：加拿大
• 市場佔有率：拉丁美洲
• 市場佔有率：西歐
• 市場佔有率：中歐和東歐
• 市場佔有率：中東和非洲
• 市場佔有率：中國
• 市場佔有率：亞太地區（日本和中國除外）
• 市場佔有率：日本
• 市場佔有率：依行業
• 市場佔有率：媒體與娛樂
• 市場佔有率：零售
• 市場佔有率：BFSI
• 市場佔有率：旅遊與旅館業
• 市場佔有率：教育
• 市場佔有率：公共部門
• 市場佔有率：醫療保健與生命科學
• 市場佔有率：汽車
• 市場佔有率：食品和飲料
• 市場佔有率：依部署類型
• 市場佔有率：本地
• 市場佔有率：雲端運算
• 市場佔有率：依客戶類型
• 市場佔有率：中小型企業
• 市場佔有率：大公司
• 市場佔有率：企業

第5章 公司簡介

• 公司簡介
• 分析師的觀點與分析

第6章 附錄

• 研究方法

市場預測：

第1章 執行摘要

• 主要調查結果
• 關鍵預測
• 主要趨勢
• 市場概況

第2章 市場概覽

• 市場定義和範圍
• 影響市場的主要因素
• 驅動因素和限制因素

第3章 市場預測分析

• 市場預測：依地區
• 市場預測：全球
• 市場預測：美國
• 市場預測：加拿大
• 市場預測：拉丁美洲
• 市場預測：西歐
• 市場預測：中歐與東歐
• 市場預測：中東與非洲
• 市場預測：中國
• 市場預測：亞太地區（日本和中國除外）
• 市場預測：日本
• 市場預測：依行業
• 市場預測：媒體與娛樂
• 市場預測：零售
• 市場預測：BFSI
• 市場預測：旅遊與旅館業
• 市場預測：教育
• 市場預測：公共部門
• 市場預測：醫療保健與生命科學
• 市場預測：汽車
• 市場預測：食品和飲料
• 市場預測：依部署類型
• 市場預測：本地
• 市場預測：雲端
• 市場預測：依客戶類型
• 市場預測：中小企業
• 市場預測：大型企業
• 市場預測：企業

第4章 公司簡介

• 公司簡介
• 分析師的觀點與分析

第5章 附錄

• 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