Actionable Benefits
- Understand your own position in the wider landscape.
- Analyze and benchmark capabilities of competitors and partners.
- Explore opportunities for Mergers and Acquisitions (M&A) or partnerships.
- Assess emerging hardware and software trends to develop innovation roadmap.
Research Highlights
- Breakdown of key vendors across hardware and software categories.
- Categorization of software vendors across each link in the Machine Learning (ML) value chain from cloud services to enterprise services.
- Assessment of hardware vendor products across chipset architectures and form factors supported.
Critical Questions Answered
- How many hardware vendors are using RISC-V ISA for hardware development?
- Which Artificial Intelligence (AI) software services are most widely offered by vendors?
- How many companies offer generative AI services?
- What is the split of hardware vendors offering different chipset architectures?
- Which vendors offer hardware and software?
Who Should Read This?
- Product strategists looking to understand competitor capabilities and develop product roadmap.
- Commercial partnership analysts looking to develop AI ecosystem, especially Machine Learning Operations (MLOps), data, and cloud service platforms.
- Startups and new entrants looking to define product niche.
- Executives building long-term company strategy.
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