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µ¥ÀÌÅÍ »çÀ̾𽺠¹× ¸Ó½Å·¯´× Ç÷§Æû ½ÃÀå Á¡À¯À²°ú ¿¹Ãø(2023-2028³â) - ¼¼°è ±Ô¸ð(2°³ º¸°í¼­ ¹øµé)

Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, Worldwide (Bundle of Two Reports)

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LSH 25.03.18

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
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