RELATED SERVICE:
AI & Machine Learning
Actionable Benefits
- Identify growth opportunities and formulate the right messaging and strategies for Artificial Intelligence (AI) solutions in specific verticals.
- Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue both at the edge and in the cloud.
- Evaluate strategy based on the relative growth of chipset architectures.
Research Highlights
- Detailed coverage of devices, gateways, and on-premises servers by region, architecture, vertical, workload, and use case.
- Shipments of devices with edge AI chipsets by 17 verticals and 4 regions.
- Evolution of AI chipset architecture in the cloud and at the edge.
Critical Questions Answered
- How will AI hardware be adopted in edge devices, gateways, and servers until 2030?
- How will the cloud and edge AI market evolve over time, both globally and regionally?
- How will edge AI be implemented across different verticals?
- Which chipset architecture will dominate AI by 2030?
Who Should Read This?
- Product strategists at AI chipset vendors.
- AI solution providers looking to understand short-term and long-term vertical-specific opportunities.
- Investors gauging the potential for growth in the markets covered.
- Sales and marketing leaders in diverse markets effected by AI.