
Worldwide Global DataSphere Volume of Data Analyzed and Fed into AI Forecast, 2023–2026: Are You Helping Your Clients Shine a Light on Dark Data?
Description
Worldwide Global DataSphere Volume of Data Analyzed and Fed into AI Forecast, 2023–2026: Are You Helping Your Clients Shine a Light on Dark Data?
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 being analyzed or fed into AI/ML for 2023–2026. Various dynamics and factors impacting the amount of data analyzed or fed into AI/ML are highlighted and discussed."Enterprise organizations prolifically create data yet analyze only a small percentage of the data they create," according to John Rydning, research vice president, Global DataSphere. "Significant opportunities exist to analyze and utilize more of the data being generated to develop differentiating new services, to improve efficiencies, and to create competitive advantages."
Please Note: Extended description available upon request.
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 being analyzed or fed into AI/ML for 2023–2026. Various dynamics and factors impacting the amount of data analyzed or fed into AI/ML are highlighted and discussed."Enterprise organizations prolifically create data yet analyze only a small percentage of the data they create," according to John Rydning, research vice president, Global DataSphere. "Significant opportunities exist to analyze and utilize more of the data being generated to develop differentiating new services, to improve efficiencies, and to create competitive advantages."
Please Note: Extended description available upon request.
Table of Contents
17 Pages
- IDC Market Forecast Figure
- Executive Summary
- Advice for Technology Suppliers
- Market Forecast
- The Model Framework Used to Calculate Data Useful for Analysis, Data Analyzed, and Data Fed into AI/ML
- Structured Data
- Unstructured Data
- Consumer and Social Media Data
- Total Global DataSphere Data Useful for Analysis, Analyzed, and Fed into AI/ML
- Market Context
- Drivers and Inhibitors
- Drivers
- Digital First
- AI Adoption
- Content Management and Video Analytics Software
- Inhibitors
- Data Trust and AI/ML Governance and Risk Management
- Significant Market Developments
- Changes from Prior Forecast
- Market Definition
- Methodology
- Related Research
Pricing
Currency Rates
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