A Selective Rebound
Recent data from July 2026 paints a complex but encouraging picture of India's technology hiring landscape. While the headline figure of 10% growth captures the positive momentum, the reality is more nuanced. The Naukri JobSpeak Index reported that overall
white-collar hiring saw a 5% year-on-year increase, with the IT sector specifically reviving with 6% growth after a previous decline. Another analysis pointed to a month-on-month rebound of around 14% in active tech openings. However, this recovery isn't lifting all boats equally. The growth is highly selective, favouring specialists over generalists and signaling a market that is maturing in its demands. Companies, having spent the first half of the year optimizing costs, are now hiring with a sharp focus on roles that deliver immediate high impact.
The AI and Cloud Imperative
The driving force behind this resurgence is the insatiable demand for professionals skilled in Artificial Intelligence (AI), Machine Learning (ML), and cloud computing. According to the Naukri report, hiring for AI and ML roles surged by an astounding 33% in July compared to the previous year. This trend is consistent across multiple reports, with roles like AI/ML Engineer, Data Engineer, Cloud Engineer, and Cybersecurity professional seeing the fastest growth. NASSCOM estimates that India will need over a million AI professionals by 2027, but the current trained supply covers less than 20% of that demand. This massive talent gap means companies are fiercely competing for candidates who can build, deploy, and manage intelligent systems, effectively raising the value and compensation for these specific skills.
What This Means for Salaries
This targeted demand is directly impacting salaries. While average salary hikes in India are projected to be around 8-12% in 2026, professionals with niche skills are in a different league. Experts with in-demand capabilities like AI, ML, and cloud architecture are commanding premiums of 30-50%, with some salary guides suggesting they can secure increments of up to 30% when switching jobs. The market is no longer rewarding experience in a purely linear fashion; it is rewarding the relevance of that experience. An AI engineer can now expect an average salary in the range of ₹25–₹60 LPA, a figure that can be significantly higher at top-tier product companies. This creates a clear divide between those with commoditized skills and those with specialized, future-focused expertise.
The Changing Geographic Landscape
The hiring boom isn't confined to traditional metro hubs like Bengaluru and Hyderabad. While these cities remain dominant, hiring is increasingly expanding into Tier-2 and Tier-3 cities. According to Naukri's July data, cities like Bhubaneswar (24% growth), Gandhinagar (23%), and Kolkata (17%) posted some of the highest increases in hiring activity. This geographic diversification is partly driven by the expansion of Global Capability Centres (GCCs), which are setting up analytics and tech hubs beyond the major metros. This shift offers new opportunities for talent across the country and suggests a broader, more distributed tech ecosystem is taking shape.
A Market Favouring Experience
One of the most defining characteristics of the current market is its strong preference for experienced professionals. One analysis of job postings from May to July 2026 revealed that for every one entry-level tech role, there were roughly eight senior ones. Just under 6% of the 15,000+ jobs analyzed were for entry-level or junior positions. While fresher hiring did see a modest 6% year-on-year growth in July, the overwhelming demand is for mid-level and senior talent who can contribute from day one. This presents a significant challenge for new graduates entering the workforce, underscoring the importance of internships and practical, project-based skills to bridge the gap between academic knowledge and industry requirements.
