India’s SaaS story in 2025: Consolidation, AI rush and a reset in growth strategies

• Indian SaaS firms made fewer but higher-value acquisitions in 2025, totaling $386M
• AI drove consolidation, splitting market into AI-first and SaaS-to-AI transitions.
• Acquisitions target AI tech, data capabilities, and workflow integration

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As 2025 drew to a close, India’s SaaS sector began telling a different story from the funding-fuelled boom years.

Data sourced from Venture Intelligence pointed to a market no longer measuring momentum by the number of rounds announced, but by who was strong enough to acquire.

During the year, Indian SaaS companies completed 30 domestic acquisitions worth about $386 million, compared with 40 deals worth $253 million in 2024 and 35 deals worth $124 million in 2023. Fewer transactions, larger values, and sharper intent defined the shift.

Cross-border activity followed the same pattern.

Indian SaaS firms carried out 13 outbound acquisitions valued at $262 million in 2025, while 12 inbound deals worth $294 million brought overseas companies into the Indian ecosystem.

Even as deal counts moderated from the previous year, the concentration of value suggested that consolidation was no longer opportunistic. It had become strategic.

From growth chasing to relevance testing

“After years of abundant capital and rapid SaaS proliferation, 2025 saw the market move from chasing growth to demanding relevance,” said Udit Agarwal, vice president and global head of marketing at Exotel.

Enterprises, he said, began actively rationalising bloated software stacks and questioning whether products delivered tangible business impact.

AI forced that reckoning. “What changed the conversation was AI, not as a feature, but as a forcing function,” Agarwal said. By exposing inefficiencies and overlapping functionality, AI accelerated vendor consolidation and rewarded companies that embedded themselves deeper into customer workflows.

A market split between AI-first and SaaS-to-AI transitions

“I’d call 2025 a wake-up call more than anything else,” said Arvind Parthiban, founder and CEO of SuperOps.

According to him, the market now clearly separates into two paths. “There are AI-first companies being built from the ground up and then there are traditional SaaS companies trying to evolve into AI companies. Both are preparing for an AI-first world, but they’re moving at very different speeds.”

Parthiban said consolidation reflected both capital pressure and gradual product obsolescence. “A lot of SaaS businesses are becoming irrelevant now, not overnight but through a slow decline because AI is reshaping how we work,” he said.

As investors prioritised AI-native bets, mergers increasingly replaced prolonged fundraising.

Capability buys replace feature-led expansion

This shift showed up clearly in 2025 deal rationales. Rather than acquiring direct competitors to bulk up market share, SaaS companies used acquisitions to add adjacent capabilities, data layers, and AI-led workflows.

Customer engagement platform Exotel continued to pursue inorganic growth during the year to deepen its communications and customer interaction stack, expanding beyond core messaging into higher-value enterprise use cases.

Experimentation and analytics firm Wingify, which operates VWO, acquired Blitzllama, an AI-powered user feedback and research platform, moving upstream into product discovery and continuous user insights.

In fintech SaaS, Perfios strengthened its presence in insurance data and claims intelligence with the acquisition of IHX, building on earlier buys aimed at creating a full-stack decisioning engine across lending and insurance workflows.

Banking and payments software provider Aurionpro Solutions acquired Fintra Software in 2025 to bolster transaction banking and trade finance capabilities, expanding its relevance among large financial institutions. Capillary Technologies also continued to consolidate niche platforms during the year, adding depth across customer loyalty and engagement as it focused on scale and predictable cash flows.

Across these transactions, the pattern remained consistent: buyers targeted data-rich products, AI modules, and specialised talent that could be deployed quickly across existing enterprise customers, rather than incremental features that could be built internally.

AI tech over vertical SaaS

“We’ve done four acquisitions in the last year, two data companies and two pure AI companies. Not one was vertical SaaS,” said Umesh Sachdev, CEO of Uniphore.

The enterprise AI company focused on buying deep technology rather than industry-specific software. “Many startups have good tech but no go-to-market engine,” he said. “We can deploy their innovation to 2,000 customers quickly.”

Sachdev said large enterprises increasingly resist point solutions. “Business AI is horizontal,” he said. “Large companies no longer buy point solutions.”

Consolidation as a growth currency

“In an AI world, big players have realised that it’s better to buy software capability and distribution rather than build everything,” said Manav Garg, founding partner at Together Fund.

With valuations at the top end of the AI market rising quickly, acquisitions offered a faster route to scale. Traditional SaaS firms, he said, continued to grow steadily but faced compressed valuation multiples.

Another venture capitalist described consolidation as the default path for many mid-sized SaaS firms.

“Scale alone is no longer defensible,” the investor said. “Without a clear AI wedge or deep workflow ownership, strategic combinations become inevitable.”

The shape of what comes next

“Customers no longer pay for software to manage work, they expect it to resolve work,” Agarwal said, pointing to automation and decision support becoming baseline expectations.

As 2026 approaches, the outlines of the next phase are already visible: fewer standalone SaaS companies, more platform-led models, and consolidation driven by depth rather than breadth.

“A lot of the buzz around service-as-a-software models cooled this year, largely because the impact of AI in enterprise settings was overestimated. Enterprise CXOs are still warming up to AI use cases, and in 2026, more product-led businesses are likely to scale compared to sales-heavy models that have traditionally dominated Indian startup,” Said Ashish Sinha , founder of NextBigWhat.

The deals of 2025 suggest that M&A has moved from being a tactical option to the primary way India’s SaaS leaders are choosing to compete.