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The data science platform market is estimated to grow by USD 249.15 billion at a CAGR of 26.78% between 2022 and 2027. The market's expansion hinges on various factors, notably the proliferation of information volumes, the escalating significance of data-driven business outcomes across industrial sectors, and the migration of big data to cloud-based environments. The adoption of analytics, machine learning (ML) and AI, alongside advanced platforms, software, and tools, plays a pivotal role in driving these trends. Moreover, the utilization of algorithms, predictive modeling, and data visualization techniques is becoming increasingly prevalent. This paradigm shift also underscores the growing importance of cloud computing in facilitating data integration, management, and processing, thus shaping the landscape of data-driven decision-making processes.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Deployment
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
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