Actionable Benefits
- Compare the tools, services, and IoT technology stacks of the leading vendors for industrial IoT analytics.
- Analyze the strategy, position, product differentiation, and competitive outlook of the leading cloud-native PaaS and SaaS vendors proving IoT analytics for the O&G market.
- Identify market leaders, first followers, and essential players in the O&G IoT analytics market.
- Select the vendors with the most relevant offering for the O&G enterprises, specifically vendors showcasing advanced analytics capabilities, AI, and Machine learning for industrial energy applications.
- Identify current and future trends in cloud analytics for the IoT, with revenue forecasts from 2018 until 2026 for: integration, storage, analytics, presentation, and professional services.
Research Highlights
- A detailed breakdown of IoT analytics value chain components.
- Comprehensive analysis of IoT analytics strategies for O&G market entry of: AWS, Azure, Arundo, C3.ai, DataRobot, KX, Falkonry, Seeq, and others.
- Detailed technical and commercial overview of IoT analytics technologies and comparison of overall IoT technology stacks of cloud vendors versus industrial players.
Critical Questions Answered
- How are PaaS/SaaS vendors positioned in the oil and gas IoT analytics market?
- What are the disruptive and future trends in analytics, advanced analytics, and streaming analytics for the O&G domain?
- Who is dominating cloud-native IoT advanced analytics applications for the Energy market?
Who Should Read This?
- Cloud vendors, industrial PaaS specialists, and software developers for IoT analytics need to understand the market dynamics and identify differentiation points among competitors.
- Industrial players, who intend/ongoing the IoT digital transformation, to understand cloud-native offerings, strengths and avoid vendors lock-in.
- S-Suite and strategic advisors within the oil and gas industry who are responsible for strategy formation, business development, and innovative solutions planning.