Overview of the IoT Data Enabled Value chain with detailed breakdown of functionality and capabilities.
Analyze the strategy, position, differentiation, and competitive outlook of the leading data management and data analytics vendors for the IoT.
Identify the opportunities and challenges of the AI &ML market for the IoT and leverage the penetration strategies for the sales/strategy teams
Identify current and future trends in IoT data management, advance analytics and IoT marketplaces, with revenue forecasts from 2018 until 2026 for IoT data-enabled value chain.
Critical Questions Answered
How and where various vendors are positioned within the IoT data enabled value chain?
What are the disruptive and future trends in machine learning deployment for the edge, fog, and cloud for the IoT?
What are the development and competitive dynamic between top cloud vendors (AWS, Azure, IBM) in the IoT marketplaces domain?
Research Highlights
A detailed breakdown of IoT analytics value chain components.
Detailed technical and commercial overview of IoT streaming and data management technologies and comparison of overall IoT-data enabled capabilities.
Competitive assessment of the AWS and Azure positioning for the IoT data enabled market.
