Data Science Platform Market
Data science platform provides data visualization and predictive analytics capabilities to enable business users and data professionals to collaborate, develop, test and deploy predictive models. It helps organizations to accelerate the data science process to operationalize machine learning models. It also features capabilities around data ingestion, wrangling, analytics and visualization to support the entire data science lifecycle. Rise of big data has boosted demand for these platforms as enterprises adopt analytics and machine learning technologies for applications across various functions such as marketing, sales, operations, and risk management. Increased adoption of cloud-based services and need to gain actionable insights from data can drive the market growth.
Market Dynamics:
Global data science platform market growth is driven by growing need for organizations to gain actionable insights from the massive amounts of data generated each day. Leveraging advanced analytical capabilities, data science platforms help companies make informed business decisions, enhance customer experience and streamline operations. However, high costs associated with deploying these platforms, coupled with lack of skilled technical workforce can hamper its widespread adoption. Growing inclination of enterprises towards cloud-based services and emergence of AI as a strategic business priority can offer new opportunities for vendors. Integration of data science with other emerging technologies such as machine learning, deep learning and internet of things can boost demand.
Key features of the study:
- This report provides in-depth analysis of the global data science platform market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2024–2031), considering 2023 as the base year
- It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
- This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
- It profiles key players in the global data science platform market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies
- Key companies covered as a part of this study include IBM Corporation, Microsoft Corporation, Google Cloud, SAS Institute Inc., Oracle Corporation, Tableau Software (Salesforce), Alteryx, Inc., RapidMiner, Inc., DataRobot, Inc., TIBCO Software Inc., QlikTech International AB, KNIME AG, Domo, Inc., Sisense, Inc., and Snowflake Inc.
- Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
- Global data science platform market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
- Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global data science platform market
Detailed Segmentation-
Table of Contents
*Browse 60 market data tables and 40 figures on "Data Science Platform Market - Global forecast to 2031”
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