“Accelerated AI Integration and Platform Consolidation”
- The Global Data Science Platform Market is experiencing a significant shift towards AI-driven solutions and platform consolidation
- Companies are increasingly integrating advanced AI capabilities into their data science platforms to enhance automation, predictive analytics, and decision-making processes
- For instance, Databricks' recent acquisition of Neon, a database start-up specializing in PostgreSQL-based technology, exemplifies this trend
- This strategic move aims to bolster Databricks' AI-powered data management capabilities, enabling enterprises to build AI bots and agents more efficiently
- Such consolidations are expected to streamline data workflows and provide more cohesive solutions to meet the growing demand for AI-driven insights
Frequently Asked Questions
The market is segmented based on Segmentation, By Component Type (Platform, Services, Support and Maintenance, Consulting, and Deployment and Integration), Function Division (Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Business Operations, and Others), Deployment Model (On-Premises and Cloud based), Organization Size (Small and Medium-sized Enterprises (SMEs) and Large Enterprises), End User Application (Banking, Financial Services, and Insurance (BFSI), Telecom and IT, Retail and E-commerce, Healthcare and Life sciences, Manufacturing, Energy and Utilities, Media and Entertainment, Transportation and Logistics, Government, and Others) - Industry Trends and Forecast to 2032
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The Global Data Science Platform Market size was valued at USD 204.58 USD Billion in 2024.
The Global Data Science Platform Market is projected to grow at a CAGR of 29% during the forecast period of 2025 to 2032.
The major players operating in the market include IBM (U.S.), DataRobot Inc. (U.S.), apheris AI GmbH (Germany), The Digital Talent Ecosystem (U.S.), Databand (Israel).
The market report covers data from the North America.
