- Report
- October 2025
- 197 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 186 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 197 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 188 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 180 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 185 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 182 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 185 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 185 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 181 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 197 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 194 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 192 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 180 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 184 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 180 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 197 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 198 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 194 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP
- Report
- October 2025
- 181 Pages
Global
From €3147EUR$3,545USD£2,744GBP
€3496EUR$3,939USD£3,048GBP

Predictive Analytics is a branch of Data Analytics that uses data mining, machine learning, and statistical techniques to make predictions about future outcomes. It is used to identify patterns and trends in data, and to make predictions about future events. Predictive Analytics can be used to identify customer preferences, forecast demand, and optimize operations. It can also be used to detect fraud, predict customer churn, and identify potential risks.
Predictive Analytics is used by a variety of industries, including finance, healthcare, retail, and manufacturing. Companies in the Predictive Analytics market include IBM, Microsoft, Oracle, SAP, SAS, and Tableau. Show Less Read more