Generative AI (GenAI) has the potential to drive significant performance gains in India’s real estate sector, with EY-Parthenon-CREDAI latest report titled, GenAI in Indian Real Estate indicating that developers could see a 30–50% improvement in sales velocity and around 30% faster product launches. These possibilities stem from 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 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 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.”
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 modelling, seller assessment and Internal Rate of Return (IRR) / Return on Investment (ROI) scenario generation.
Mr. Yashank Wason, Managing Director, Royal Green Realty says, "Real estate has traditionally been perceived as a relationship-driven business, but AI is adding a new dimension to that relationship. Virtual assistants, intelligent lead management, and AI-powered customer engagement tools are enabling developers to offer quicker responses and more personalized experiences. Homebuyers today expect speed, transparency and convenience, and AI is helping bridge that gap. Over the next few years, we believe technology will become as important a differentiator as location and product quality."
Mr. Rajat Bokolia, CEO, Newstone says "Generative AI has the potential to transform every stage of the real estate value chain—from design conceptualization and market research to construction management and after-sales services. By reducing repetitive tasks and enabling faster data analysis, AI allows teams to focus on strategic decision-making and innovation. As projects become larger and more complex, technology-led efficiencies will play a crucial role in improving timelines, reducing costs and enhancing overall project delivery standards."
Mr Manik Malik , President and CEO, BPTP, says "The EY-CREDAI report reflects a direction that the industry is already moving towards. While adoption is still at an early stage, AI and GenAI are beginning to create tangible value across customer engagement, query management, marketing and decision support. At BPTP, we are selectively leveraging data-driven and AI-enabled tools to improve responsiveness, enhance customer experience and support faster decision-making.
Real estate remains a people-driven business, and technology is an enabler rather than a substitute. Over time, we expect AI to play a much larger role across the development lifecycle, from planning and demand forecasting to sales and post-possession services. The opportunity is significant, but the real value will come from practical applications that improve efficiency, strengthen customer relationships and create long-term value for all stakeholders."
Use cases across the real estate lifecycle
EY-Parthenon-CREDAI report highlights, 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.
