Data Science and Machine Learning (DSML) platform help users to gather data from various sources and create machine learning models and solutions through the insights generated from those data. It helps organizations in achieving digitalization and automation to gain real-time insights along with reducing complexities occurring due to big data. The platforms also include a variety of analytics and machine learning tools that empower data experts to reveal insights from the data. Thus, these platforms help organizations to streamline business processes and enhance customer experience.
Quadrant Knowledge Solutions’ DSML platform market research includes detailed global market analysis. It mainly comprises short-term and long-term growth opportunities, emerging technology trends, market trends, and future market outlook. The study provides a comprehensive market forecast analysis of the global market and the overall market adoption rate. It aims to provide strategic information for technology vendors to enhance their understanding of the market and support their growth strategies by evaluating different vendors’ capabilities, competitive differentiation, and market position.
The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. The SPARK Matrix includes ranking and positioning of the leading data science and machine learning platform vendors with a global impact, including – Alibaba Cloud, Altair, Alteryx, Amazon Web Services, Anaconda, Cloudera, Databricks, Dataiku, DataRobot, Domino, Google, H2O.ai, IBM, KNIME, MathWorks, Microsoft, RapidMiner, SAS, Samsung SDS, and TIBCO Software.
According to Sofia Ali, Analyst at Quadrant Knowledge Solutions, “The DSML platform vendors continue to strengthen their capabilities by utilizing the advantage of AI democratization that allows citizen users to access the power of AI and automation in the model development process. The DSML platform vendors are also making significant investments in adding low-code/ no-code based machine learning for faster model building, and for providing an enhanced user experience with intuitive dashboards that supports deep interoperability with the analytics tools.”
2022 Data Science and Machine Learning Platform: SPARK Matrix
Source: Quadrant Knowledge Solutions
Table of Contents
- Key Research Findings
Market Overview and Technology Trends
Factors Influencing Technology Development and Market Growth
Market Adoption Trends
Competition Landscape and Analysis
- Competitive Overview and Analysis
- Key Competitive Factors and Technology Differentiators
SPARK Matrix™: Data Science and Machine Learning Platform, 2022
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