Detailed understanding of different enterprises use case categories for data fabric deployments and key implications on technology requirements to enhance product planning.
Forecast of industrial data generation by source to help suppliers prioritize which data sources to integrate into their data fabric solution.
Understand key enterprise data fabric use cases for targeted messaging and market activities.
Critical Questions Answered
What use cases are enterprises looking to realize with data fabric deployments?
Which use cases require what technology capabilities from suppliers?
What strategies should suppliers adopt to ensure their data solutions align with the edge computing and private cloud requirements of enterprise data use cases?
Research Highlights
Detailed breakdown of industrial data generation by 2030, broken down by different sources of data.
In-depth analysis of connectivity trends in manufacturing: extensive review of fixed-line versus wireless connectivity trends, outlining the dominant role of fixed-line.
Extensive map of enterprise use cases in the three main use case categories.
Detailed discussion on the key enterprise requirements for use case data fabric solutions.
Who Should Read This?
Product development managers at data fabric and connectivity solution providers responsible for creating offerings that meet future industrial needs.
Sales and business development executives at technology and cloud infrastructure suppliers, focusing on industrial clients needing robust, scalable, and flexible data integration and connectivity solutions.
Chief Technology Officers (CTOs) at industrial technology suppliers, looking to align product roadmaps with the evolving data and connectivity needs of large-scale manufacturing clients.
Table of Contents
1. KEY FINDINGS
2. KEY FORECASTS
3. KEY COMPANIES AND ECOSYSTEMS
3.1. AMAZON WEB SERVICES
3.2. DATABRICKS
3.3. DENODO
3.4. IBM
3.5. INFORMATICA
3.6. ORACLE
3.7. MICROSOFT
3.8. QLIK
3.9. SNOWFLAKE
4. ENTERPRISE USE CASES FOR DATA FABRIC DEPLOYMENTS
4.1. BUSINESS OPTIMIZATION USE CASES
4.2. COMPLIANCE AND DATA GOVERNANCE USE CASES
4.3. DATA INTELLIGENCE AND COLLABORATION USE CASES
5. MAPPING ENTERPRISE VERTICALS TO DATA FABRIC USE CASES
