Last mentioned: Mar 16, 2026
Extension Signal
Officials indicate platforms will get more time for technical builds and audit-readiness.
Annual Report Release
Nasscom and Zinnov release the 2025 funding analysis highlighting the shift to execution-led maturity.
Original Deadline
Rules officially come into force after a 10-day preparation window.
Rules Notified
Government issues amended IT Rules for AI labeling and detection.
Funding Recovery
Total funding reaches $9.1B; 550+ new DeepTech startups are founded throughout the year.
M&A Baseline
Technology M&A activity remains moderate, setting the stage for a 2025 breakout.
IP Surge Begins
Indian startups begin a period of rapid patent filing growth, increasing 68% over the next four years.
The Indian government is signaling a potential extension for social media platforms to implement mandatory AI-generated content labeling and detection tools. This follows industry pushback from groups like Nasscom, who argued that the original 10-day compliance window was technically unfeasible for creating audit-ready verification systems.
Top executives from Salesforce and SAP are calling for a systemic redesign of workplace structures to bridge the mid-career drop-off for women in technology. As young women enter frontier fields like AI and data science with unprecedented confidence, the industry is shifting its focus from basic representation to sustained leadership and accountability.
Indian tech startups secured $9.1 billion in funding during 2025, representing a 23% year-on-year increase as the ecosystem shifts toward execution-led maturity. The growth was largely fueled by DeepTech and AI ventures, which saw a 37% surge in capital allocation.
India's technology sector is projected to reach $315 billion in revenue by FY26, fueled by a surge in AI services and the expansion of Global Capability Centers. The industry is expected to maintain a 6.1% growth rate as AI revenues alone climb toward the $12 billion mark.
This page surfaces every story mentioning Nasscom across our saas coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running saas beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Nasscom was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |