Data Science and Machine Learning (DSML) platform helps 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’ Data Science and Machine Learning Platforms market research includes a detailed global market analysis of major vendors. The research comprises of vendors’ product features and functionalities, as well as competitive differentiating factors. The research provides competitive landscape and vendor analysis to enable technology vendors to enhance their understanding of the market and implement a growth-oriented technical roadmap.
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, Cloudera, Databricks, Dataiku, DataRobot, Domino Data Lab, dotData, Google, H2O.ai, IBM, KNIME, MathWorks, Microsoft, SAS, Samsung SDS, Tellius and TIBCO Software.
According to Karun E S, Analyst at Quadrant Knowledge Solutions, “The Data Science and Machine Learning (DSML) Platform vendors continue to strengthen their capabilities by leveraging interoperability and integration to design, develop, deploy, monitor, and manage all the models in a unified platform. The industry is focusing on extending support for various use cases such as image processing, signal processing, optimization, anomaly detection, and more along with offering multiple deployment options like deployment on edge devices, cloud platforms, on-premises, and embedded systems.
2023 Data Science and Machine Learning Platforms SPARK Matrix
Source: Quadrant Knowledge Solutions
Table of Contents
Executive Overview
Market Definition and Overview
- Market Definition
- Market Overview
- Key Data Science and Machine Learning Platforms capabilities
Competition Landscape and Analysis
- Key Competitive Differentiators
SPARK Matrix™: Data Science and Machine Learning Platforms, 2023
Vendor Profile
Research Methodologies
Custom Research Service
Our custom research service is designed to meet the client’s specific requirements by providing a customized in-depth analysis of the technology market to meet your strategic needs. Further, our custom research and consulting services deliverable is uniquely effective, powerful, innovative, and realistic for helping companies successfully address business challenges. Our team of experienced consultants can help you in achieving short-term and long-term business goals in the following ways:
- Detailed understanding of the industry structure, market participants, and value chain mapping
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- Strategic planning and tactical opportunities
- Go to market strategies
