Actionable Benefits
- Plan investment and innovation considering AI market dynamics and identify “hot” revenue opportunities.
- Understand key enterprise pain points and benchmark your own strategy.
- Gain visibility over long-term trends in AI software, including on-device AI, open versus closed source, regional development, and training versus inference.
Research Highlights
- Granular breakdown of AI software revenue opportunity by 14 different software segments.
- Breakdown of AI software revenue by region, source code, deployment location, and framework type.
- Breakdown of Gen AI and traditional AI software spending.
Critical Questions Answered
- How will Generative Artificial Intelligence (Gen AI) and traditional Artificial Intelligence (AI) spending shift through 2030?
- How will spending on cloud, edge, and on-device fluctuate?
- What impact will Research and Development (R&D) breakthroughs like DeepSeek have on regional growth and market dynamics?
- How will enterprise AI challenges impact spending on software tooling?
- How will enterprises deploy software versus services?
Who Should Read This?
- Independent Software Vendors (ISVs) building R&D or commercial strategies.
- Cloud providers developing AI capabilities to address enterprise market.
- Chip vendors investing in software tools, platforms, and partnerships.
- Enterprise leader assessing AI opportunities and challenges.