Global Data Science Process Market: Global Size, Trends, Competitive, and Historical
The data science process refers to solutions, platforms, and services that support the end-to-end lifecycle of data science from data collection and preparation to modelling, deployment, and monitoring. These processes are used across industries to extract insights from structured and unstructured data, enabling predictive analytics, automation, and decision intelligence.