SPARK Matrix™: Data Science & Machine Learning (DSML) Platforms, 2024

QKS Group’s Data Science & Machine Learning (DSML) Platforms market research includes a detailed analysis of the global market regarding short-term and long-term growth opportunities, and future market outlook. This research provides strategic information for vendors to better understand the existing market, supporting their growth strategies; and for users to evaluate different vendors’ capabilities, competitive differentiation, and market position.

The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. SPARK Matrix includes ranking and positioning of leading DSML Platform vendors, with a global impact. The SPARK Matrix includes an analysis of vendors, including Alibaba Cloud, Altair, Alteryx, Anaconda, AWS, Cloudera, Databricks, Dataiku, DataRobot, Domino data lab, dotDATA, Google, H2O.ai, IBM, Iguazio, KNIME, Mathworks, Microsoft, Samsung SDS, SAS, Tellius, TIBCO software.

According to Akash Dicholkar, Analyst at QKS Group, “Data Science and Machine Learning (DSML) platforms are increasingly becoming integral to various industries, moving beyond their traditional use in statistics. These platforms now support a wide range of users, from experienced data scientists to business analysts, by offering both code-based and low-code/no-code tools. The incorporation of emerging technologies, such as Generative AI (GenAI), is poised to significantly impact the capabilities of DSML platforms. GenAI’s ability to generate synthetic data, improve anomaly detection, and optimize model performance brings new opportunities for innovation and efficiency. As these platforms continue to integrate advanced features like GenAI, they will likely offer more robust solutions for data analysis and model development, supporting a wide range of applications across industries. This evolution reflects a broader trend towards more versatile and accessible tools in the DSML space, catering to the growing demand for data-driven insights and decision-making

Table of Contents:

Executive Overview

Market Definition and Technology Trends

Competition Landscape and Analysis 

• Competitive Overview and Analysis
• Key Competitive Factors and Technology Differentiators

SPARK Matrix™: Data Science & Machine Learning (DSML) Platforms

Vendor Profiles

Research Methodologies

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