In 2026, global SaaS spending is projected to climb 15%, reaching $1.4 trillion according to Gartner—an acceleration from last year's 12.8%. Despite this robust growth, the SaaS sector is divided sharply between firms leveraging AI innovations to thrive and those unable to break free from outdated models, resulting in significant market disparities.
- SaaS spending grows 15% to $1.4T in 2026, fastest in a decade
- AI-powered SaaS firms dramatically outperform legacy peers
- Public software valuations drop amid changing investor expectations
What happened
Global SaaS expenditure is accelerating, with Gartner forecasting a rise from $1.2 trillion last year to $1.4 trillion this year, marking the fastest growth rate seen in ten years. This surge is largely fueled by companies rapidly adopting AI technologies to automate sales, customer success, and marketing functions, enabling unprecedented efficiency and revenue growth.
Simultaneously, a significant portion of SaaS firms—about half—are stuck in older operational models and are not experiencing this growth. They await a market recovery that appears unlikely, causing a stark division in the market. Notably, public SaaS companies are trading at discounts to the broader S&P 500 index, a reversal of a longstanding trend where software companies commanded valuation premiums.
Why it matters
The bifurcation in the SaaS market underscores the importance of innovation and adaptation in the current environment. Companies integrating AI to deliver tangible outcomes, such as increased deal closures and automated customer success tasks, are seeing outsized returns, while others risk obsolescence. This shift challenges the traditional SaaS narrative of steady, predictable growth through long-term contracts.
Investor sentiment is changing rapidly, as the market discounts SaaS companies that cannot demonstrate AI-driven value and higher net revenue retention rates. The skepticism toward long-term contracts and traditional renewal rates indicates a preference for agile, results-oriented SaaS models, reshaping funding, valuation, and growth strategies across the sector.
What to watch next
Industry observers should monitor how quickly legacy SaaS vendors adapt AI capabilities into their platforms and customer interactions. The ability to automate complex processes and generate measurable business outcomes will likely separate winners from losers in the next phase of market evolution.
Public market valuations and spending data will continue to provide early signals about which SaaS models gain traction. Additionally, the role of AI-driven agents replacing large teams and reducing operational costs will be a key trend influencing SaaS profitability and investment attractiveness going forward.