Actionable Benefits
- Gain deeper understanding of Tiny Machine Learning (TinyML) chipset software strategies.
- Understand pressure points in the software stack and build effective product/Go-to-Market (GTM) strategies.
- Assess gaps in software portfolio, relative to the market, to inform product Research and Development (R&D) or partnership strategies.
- Start to develop appropriate Generative Artificial Intelligence (Gen AI) strategy.
Research Highlights
- Forecast of TinyML software and service spending, split by Artificial Intelligence (AI) type.
- Comprehensive assessment of TinyML software stacks across development, data, model operations, and management.
- Comprehensive evaluation of TinyML software capabilities across leading chipset vendors.
- Evaluation of Gen AI strategic opportunities for TinyML chip vendors.
Critical Questions Answered
- What is the state of the TinyML software market?
- How are different chip vendors building out their software capabilities?
- Who has most effectively developed their software stack?
- How can vendors use in-house software capabilities effectively to create synergies?
Who Should Read This?
- Product strategists and leaders across the edge AI hardware ecosystem looking to develop their position in the market.
- Independent Software Vendors (ISVs) building out their software capabilities and expanding their position in market through partnerships.
- Device manufacturers looking to benchmark current and prospective partner software strategies.
Companies Mentioned
