RELATED SERVICE:
AI & Machine Learning
Actionable Benefits
- Gain a deeper insight into generative Artificial Intelligence (AI) and the key trends impacting the supply side of the market.
- Identify monetization opportunities across the generative AI supply chain and effectively map them to existing products/capabilities.
- Build commercial and technical strategy in generative AI market.
- Identify and build partnerships with the right stakeholders across the supply chain.
Research Highlights
- Exhaustive breakdown of revenue and monetization opportunities, mapped to stakeholders.
- Overview and evaluation of each node of the supply chain.
- Forecast of generative AI revenue broken down by supply chain node.
- Analysis of trends, opportunities, and challenges impacting market supply side.
- Assessment of geographic disparities in generative AI.
Critical Questions Answered
- Which are the most effective monetization strategies for each stakeholder across the generative AI supply chain?
- What factors are contributing toward generative AI’s cost crisis?
- Who will be the biggest winners and losers in the generative AI commercial market?
- What will be the strategic commercial impact of key trends like open-source and fine-tuned models?
- How do investment and innovation vary geographically?
Who Should Read This?
- Decision makers across the AI supply chain in the process of identifying and developing new monetization strategies.
- Strategic planners and advisors inside and outside of the supply chain looking to build market entry strategies and identify partnership opportunities.
- End-market Independent Software Vendors (ISVs) and developers looking to build generative AI into their value proposition.
- Investment professionals assessing the value of stakeholders across the supply chain.
Companies Mentioned
