GenAI Could Boost Sales Velocity by Up to 50% for Indian Real Estate, Reveals EY-Parthenon-CREDAI Report
New Delhi, June 18, 2026: Generative AI (GenAI) has the potential to drive significant performance gains in India’s real estate sector, according to the latest report by EY-Parthenon and CREDAI. The report, titled GenAI in Indian Real Estate, indicates that developers adopting AI-driven intelligence could see a 30–50% improvement in sales velocity and around 30% faster product launches.
These substantial advancements stem from the implementation of AI-driven customer intelligence, automated design workflows, and predictive project monitoring. The findings signal a structural shift within the industry, moving away from traditionally scale-driven operations toward a more intelligence-led approach to real estate development.
The joint report highlights that early adopters of GenAI stand to capture the greatest gains in speed, efficiency, and customer experience. These developers could experience strong operational benefits, including a 20–50% improvement in workforce productivity, a 20–50% reduction in customer acquisition costs, and project decision cycles that may compress from “months to weeks or days.” Such advancements have the potential to completely reshape how developers assess land feasibility, plan engineering layouts, manage construction pipelines, and engage with homebuyers.
Chaitanya Seth, Partner – Real Estate practice, EY-Parthenon India, said, “GenAI is fast becoming central to value creation and competitiveness, making inaction a growing strategic risk. We see GenAI-led transformation unlocking 2–3X enterprise value within the short to medium horizon, by compressing land-to-launch cycles by 20–30%, driving 30%+ sales acceleration, and delivering a 5–20% step-change in efficiency across cost and timelines. This is not about incremental digitization, rather, it is about rewiring the operating model, redefining customer experience, strengthening brand advocacy, and building brands that scale faster and sell smarter.”
Speaking on the launch of the report, Shekhar G. Patel, President, CREDAI said, “The next phase of growth in Indian real estate will be driven not only by scale, but increasingly by intelligence, speed and the ability to make better decisions across the project lifecycle. The findings of this report suggest that Generative AI has the potential to significantly improve sales velocity, accelerate project launches and enhance productivity across multiple functions, making it a significant opportunity for the sector. What is particularly encouraging is that the impact of GenAI extends beyond operational efficiency. Its application across planning, design, construction, sales and customer engagement can help developers become more responsive to market needs, improve execution quality and deliver a better experience for homebuyers.”
He further added, “India’s real estate sector is entering a new era shaped by rapid urbanisation, expanding infrastructure and rising consumer aspirations. Going forward, the focus should be on harnessing these capabilities to build a smarter, more efficient and resilient real estate sector that can deliver greater value to homebuyers and support India’s urban growth ambitions.”
On a macro-economic scale, the financial implications outlined in the study are massive. The EY-Parthenon-CREDAI report highlights that GenAI could add US$14–17 billion to the real estate sector’s Gross Value Added (GVA) over the next seven years, equivalent to a 3–4% uplift in real estate value. At a broader level, GenAI technology could contribute between US$359 billion and US$438 billion to India’s overall GDP by 2030, translating into an additional 5.9–7.2% impact on the national economy.
The report also finds that GenAI can cut deal evaluation time by approximately 50%, reduce land‑closure turnaround time by 30–35%, and enable 2.5 times more real estate deals to be evaluated simultaneously. This is achieved through automated feasibility modelling, seller risk assessment, and rapid Internal Rate of Return (IRR) or Return on Investment (ROI) scenario generation.
Breaking down the use cases across the full real estate lifecycle, the report highlights that GenAI can generate hyper-local micro-market insights and financial models in minutes. It accelerates design and planning through generative layouts and automated Bills of Quantities (BoQs). On the construction front, the technology enables drone-based monitoring, real-time deviation detection, and predictive schedule control. Finally, it boosts post-sales performance through automated customer responses, sentiment analytics, and predictive maintenance—collectively enabling developers to operate with unprecedented speed, accuracy, and transparency.
