Provide a comprehensive understanding of data generation trends across industrial verticals, with discrete manufacturing, automotive, and process sectors driving the need for advanced data management solutions.
Deliver a detailed analysis of the Total Addressable Market (TAM) for data integration solutions by manufacturing sub-sector, highlighting opportunities in mission-critical applications like cameras, Computer Numerical Control (CNC) systems, and Enterprise Resource Planning (ERP) platforms.
Offer strategic insights on hybrid cloud and edge computing adoption, with recommendations for suppliers to optimize their solutions for Industry 4.0, Artificial Intelligence (AI), and Machine Learning (ML)-driven initiatives in industrial enterprises.
Critical Questions Answered
How can suppliers effectively cater to the different data demands across manufacturing sub-sectors (discrete, automotive, and process)?
What features are required for data fabric solutions that integrate mission-critical systems such as cameras, CNCs, and ERP platforms?
How should suppliers adapt their data integration solutions to meet Industry 4.0 and AI/ML-driven initiatives in industrial enterprises?
Research Highlights
Detailed projection of data that will be generated by industrial enterprises by 2030, with a breakdown across discrete, automotive, and process manufacturing sectors.
Analysis of how industrial data differ from consumer data, focusing on operational safety, efficiency, and production continuity, which necessitates advanced data management solutions.
Examination of the need for data fabric solutions to support both cloud-based agility and robust edge presence in response to sector-specific demands.
Who Should Read This?
Product managers at data integration and AI/ML solution providers aiming to address the complex, mission-critical data requirements in industrial sectors such as manufacturing, automotive, and process industries.
Sales and business development leads at cloud and edge computing suppliers seeking to expand their market share in verticals that require robust data integration and real-time analytics.
Chief Technology Officers (CTOs) at industrial suppliers, responsible for aligning product strategies with the growing need for scalable, mission-critical data solutions that can drive enterprise digitization and efficiency efforts.
Table of Contents
1. KEY FINDINGS
2. KEY FORECASTS
3. KEY COMPANIES AND ECOSYSTEM PLAYERS
3.1. TRADITIONAL DATA MANAGEMENT VENDORS
3.2. CLOUD-NATIVE AND MODERN DATA PLATFORM PROVIDERS
3.3. SPECIALIZED DATA INTEGRATION AND FABRIC INNOVATORS
4. KEY DRIVERS FOR DATA FABRIC ADOPTION
4.1. TECHNOLOGY DRIVERS
4.2. EMERGING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE USE CASES
