Actionable Benefits
- 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 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.
- Identify the opportunities and challenges of the data management market for the IoT and leverage the penetration strategies for the sales/strategy teams.
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.
- Placement and positioning of the IoT vendors in the IoT-data enabled value chain.
- Competitive assessment of the AWS and Azure positioning for the IoT data enabled market.
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.
Who Should Read This?
- IoT Big Data vendors and software developers for IoT analytics, who needs to understand the market dynamics and identify differentiation point among competitors.
- Industrial players, who intend/ongoing the IoT digital transformation, to understand data management offerings, strengths and avoid vendors lock-in.
- S-Suite and strategic advisors within the data-enabled industry who are responsible for strategy formation, business development and innovative solutions planning.
Companies Mentioned
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