RELATED SERVICE:
AI & Machine Learning
Actionable Benefits
- Identify growth opportunities and formulate the right messaging and strategies for AI solutions in specific verticals.
- Use market share and forecast data on cloud and edge AI chipset to identify market niches and set realistic sales performance.
- Educate internal stakeholders on the latest development in cloud and edge AI across various verticals.
Research Highlights
- Shipments of active AI-enabled devices by 17 verticals.
- Market share of key AI chipset vendors by inference and training workload.
- Location of AI inference and training takes place for each device, namely embedded, on-device, gateway, on-premise server and cloud, as well as the chipset architecture involved.
- Evolution of AI chipset architecture at the edge by verticals.
Critical Questions Answered
- What is the current market dynamic between different AI chipset vendors based on architecture and revenue?
- How will cloud and edge AI chipset deployment evolve over time?
- How will edge AI be implemented across different verticals?
- Who are the leading players in cloud and edge AI chipset?
Who Should Read This?
- Product strategists at AI chipset vendors.
- AI solution providers that are looking to understand short term and long term vertical-specific opportunities.
- Innovation and marketing leaders promoting AI adoption within their company.
- Decision makers looking to identify the right AI solution for internal projects.