RELATED SERVICE:
AI & Machine Learning
Actionable Benefits
- Develop Artificial Intelligence (AI) hardware and software strategies with visibility over future revenue opportunities.
- Plan investment and innovation considering wider market dynamics and identify “hot” revenue opportunities.
- Become cognizant of key trends in AI software, including edge versus cloud AI, open versus closed source, regional developments, and consumption models.
Research Highlights
- A detailed breakdown of software revenue by each software tool.
- Comprehensive breakdown of software revenue by region.
- Forecast of edge against cloud AI revenue opportunities.
- Examination of AI software consumption models.
- Forecast of open and closed-source revenue opportunities.
Critical Questions Answered
- To what extent will generative AI enterprise adoption stimulate Natural Language Processing (NLP) software revenue?
- How will edge AI software revenue opportunities vary across different AI frameworks?
- What share of AI software revenue will result from open-source?
- Which AI software tools offer the biggest market opportunity moving forward?
Who Should Read This?
- AI software decision makers looking to refine their technical and commercial strategies.
- AI hardware leaders building product alignment and new capabilities in the software market.
- Market strategists aligning entry, competitor, and growth approaches to key software opportunities.
- Cloud provider innovation leaders looking to build a strong position in the AI software market across different frameworks and regions.
- Enterprise leaders and professional investors assessing the direction of the AI software market.