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1026932

Worldwide Global DataSphere Volume of Data Analyzed and Fed into AI Forecast, 2021-2025

Published: | IDC | 15 Pages | Delivery time: 1-2 business days

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Worldwide Global DataSphere Volume of Data Analyzed and Fed into AI Forecast, 2021-2025
Published: August 31, 2021
IDC
Content info: 15 Pages
Delivery time: 1-2 business days
  • Description
  • Table of Contents

This IDC study provides a forecast of data created or replicated in the Global DataSphere that is useful for analysis and the amount of data actually being analyzed and fed into AI/ML for 2021-2025. Various dynamics and factors impacting the amount of data analyzed or fed into AI/ML are highlighted and discussed."The amount of data analyzed is growing steadily each year, yet there is opportunity to leverage and extract even more insights and value by expanded use of data analytics than what organizations are doing today," according to John Rydning, research vice president, IDC's Global DataSphere."While the untapped value in the Global DataSphere and StorageSphere is consequential and ripe for analytics and AI, organizations will need to take a measured approach to ensure compliance to new and emerging regulations surrounding AI and privacy," according to Dave Reinsel, senior vice president, IDC's Global DataSphere.

Product Code: US48126921

IDC Market Forecast Figure

Executive Summary

Advice for Technology Suppliers

Market Forecast

  • The Model Framework Used to Calculate Data Tagged, Data Useful for Analysis, Data Analyzed, and Data Fed into AI/ML
  • Structured Data
    • Enterprise Structured Data Analyzed
  • Unstructured Data
    • Enterprise Unstructured Data Created Useful if Tagged, How Much Is Tagged, Analyzed, and Fed into AI/ML
    • Consumer and Social Media Unstructured Data Useful if Tagged, How Much Is Tagged, Analyzed, and Fed into AI/ML
  • Total Global DataSphere Data Analyzed and Fed into AI/ML

Market Context

  • Drivers and Inhibitors
    • Drivers
      • Future of Intelligence
      • Digital-First World
    • Inhibitors
      • Data Integration, Data Quality, and Data Quantity
      • New Government Regulations Limiting the Use of Data for Privacy Reasons
      • Unintended Biases and Incorrect Results from AI/ML Applications
  • Significant Market Developments
  • Changes from Prior Forecast

Market Definition

Methodology

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