GenAI: The Future of Real Estate in India with 50% Higher Sales Velocity

AI-driven intelligence is accelerating planning, execution, and customer engagement across the real estate value chain. Early adopters of Generative AI (GenAI) stand to capture the greatest gains in speed, efficiency, and customer experience.

New Delhi, 18 June 2026 - Generative AI (GenAI) has the potential to drive significant performance gains in India’s real estate sector. According to the latest EY-Parthenon-CREDAI report titled, 'GenAI in Indian Real Estate,' developers could see a 30–50% improvement in sales velocity and around 30% faster product launches. These advancements are driven by AI-driven customer intelligence, automated design workflows, and predictive project monitoring, signaling a shift from scale-driven operations to a more intelligence-led approach to real estate.

Early adopters could experience strong operational benefits, including a 20-50% improvement in workforce productivity, 20–50% lower customer acquisition costs, and decision cycles that may compress from months to weeks or days. The EY Parthenon-CREDAI report notes that such advancements have the potential to reshape how developers assess feasibility, plan projects, manage construction, and engage with customers.

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 urbanization, 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.”

The EY-Parthenon-CREDAI report highlights that GenAI could add US$14–17 billion to the sector’s Gross Value Added (GVA) over the next seven years, equivalent to a 3 – 4% uplift in real estate value. At a broader macro level, GenAI could contribute US$359–438 billion to India’s 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 ~50%, reduce land-closure turnaround time by 30–35%, and enable 2.5× more deals to be evaluated through automated feasibility modeling, seller assessment, and Internal Rate of Return (IRR) / Return on Investment (ROI) scenario generation.

Use cases across the real estate lifecycle show that GenAI could reshape the full development lifecycle by automating land feasibility assessments, generating micro-market insights and financial models in minutes; accelerating design and planning through generative layouts, automated BoQs (Bills of Quantities) and faster iterations; enhancing construction delivery via drone-based monitoring, deviation detection, and predictive schedule control; boosting sales performance through hyper-personalized campaigns, smarter lead qualification, and dynamic pricing; and strengthening post-sales experience with predictive maintenance, automated customer responses, and sentiment analytics together enabling developers to operate with greater speed, accuracy, and transparency.

These shifts reflect a broader industry move toward AI-enabled operating models, a transition EY-Parthenon has observed across its work with real estate developers adopting data, analytics, and digital tools to enhance asset performance and portfolio decision-making.