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.
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?
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.
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.