Generative AI: Identifying Technology Supply Side Revenue Opportunities

Price: Starting at USD 3,000
Publish Date: 29 Jun 2023
Code: AN-5832
Research Type: Research Report
Pages: 54
Generative AI: Identifying Technology Supply Side Revenue Opportunities
RELATED SERVICE AND SPOTLIGHTS: AI & Machine Learning Generative AI
Actionable Benefits

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.
Critical Questions Answered

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?
Research Highlights

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.
Who Should Read This?

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.

Table of Contents

1. EXECUTIVE SUMMARY

2. INTRODUCTION

3. KEY TAKEAWAYS

4. DIVING DEEPER INTO GENERATIVE AI AND LANGUAGE MODELS

4.1. LLM-BASED GENERATIVE AI OVERVIEW

5. MARKET OVERVIEW

5.1. TECHNOLOGY TRENDS
5.2. COMMERCIAL TRENDS
5.3. MARKET OUTLOOK

6. GENERATIVE AI SUPPLY CHAIN

6.1. OVERVIEW
6.2. RESEARCH AND DEVELOPMENT
6.3. HARDWARE
6.4. FOUNDATION MODELS
6.5. DATA SERVICES
6.6. ML SERVICE TOOLS
6.7. APPLICATION DEVELOPERS
6.8. ENTERPRISE SERVICES
6.9. ETHICS/REGULATIONS/STANDARDS

7. UNDERSTAND THE COMMERCIAL MODEL AND IDENTIFY NEW REVENUE OPPORTUNITIES

7.1. GENERATIVE AI?S COST CHALLENGE
7.2. ASSESSING GENERATIVE AI REVENUE OPPORTUNITIES
7.3. BREAKING DOWN OTHER MONETIZATION OPPORTUNITIES
7.4. WHAT SHOULD STAKEHOLDERS CONSIDER WHEN BUILDING THEIR REVENUE MODEL?

8. GENERATIVE AI SUPPLY CHAIN REVENUE FORECASTS

9. CONCLUDING REMARKS

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