Agentic AI Poised to Transform Enterprise Software Market and Revenue Models by 2030
Agentic AI, which enables systems to autonomously plan and execute multi-step tasks, is rapidly transforming enterprise software. Gartner forecasts that by 2026, 40% of enterprise applications will embed task-specific AI agents, with the market growing over 40% annually. While adoption promises efficiency gains and cost savings, many projects face challenges like unclear business value and high costs. By 2030, agentic AI could represent 20% of enterprise SaaS spending, disrupting traditional software revenue models and prompting a shift in how software is built, priced, and consumed.
First-hand measurement across 2 sources
We measured how 2 outlets covered this story. Coverage leans balanced overall (Left 0%, Centre 100%, Right 0%). Overall sentiment is positive (72/100). Lens Score 24/100 — low public interest.
Outlets analysed (first-hand measurement by TBN's Bias Engine):
- thehindu— balanced framing, positive sentiment
- economictimes— balanced framing, positive sentiment
AI Analysis
The articles primarily present a technology and business perspective without explicit political framing. They focus on industry forecasts, market impacts, and enterprise adoption trends, reflecting viewpoints from analysts and industry experts. There is no evident partisan or ideological bias, as the coverage centers on technological evolution and economic implications within the enterprise software sector.
The overall tone is cautiously optimistic, highlighting significant growth potential and efficiency benefits of agentic AI while acknowledging challenges such as project cancellations and market disruptions. The sentiment balances enthusiasm for innovation with realistic concerns about implementation risks and the evolving software landscape.
How 2 sources covered this story
Each source's own headline, political lean, and sentiment — so you can see framing differences at a glance.