India's AI and real estate convergence in numbers: how artificial intelligence is repricing assets in 2025–2028

AI adoption in Indian corporate real estate surged from under 5% in 2023 to 91% in 2025, according to the JLL Global Technology Survey 2025. The velocity of that shift, compressed into barely two years, signals a structural repricing of how assets are managed, built, and transacted across the subcontinent. For institutional investors, developers, and infrastructure operators, the convergence of artificial intelligence with physical real estate now represents a defining theme for capital allocation through 2028.

The numbers anchor a broader transformation. India's proptech market reached a valuation of USD 1.31 billion in 2025, according to IMARC Group, and is projected to grow at a compound annual growth rate of 12.26% to reach USD 3.82 billion by 2034. That trajectory intersects with an expanding digital infrastructure layer: installed colocation data center capacity in India is expected to reach 1.7 GW by the end of 2026, according to Cushman & Wakefield, driven in significant part by demand for AI-ready facilities.

These data points form the statistical backbone of a market in rapid transition, one that GRI Institute members across the India real estate division are actively navigating.

How fast is AI reshaping corporate real estate operations in India?

The speed of adoption is historically unusual. The JLL Global Technology Survey 2025 found that 91% of corporate real estate decision-makers in India now use AI in their operations, up from under 5% just two years prior. Perhaps more significant for forward-looking investment decisions, 93% of Indian CRE decision-makers plan to allocate budget specifically to upgrade foundational systems to support AI integration, according to the same survey.

This commitment to foundational infrastructure upgrades distinguishes India's AI-in-real-estate story from surface-level experimentation. Companies are investing in data architecture, sensor networks, and interoperable platforms that allow machine learning models to optimize building performance, tenant engagement, lease negotiations, and predictive maintenance at scale.

The implications for asset management are considerable. AI-powered energy management systems, occupancy analytics, and automated compliance monitoring are becoming standard features of institutional-grade commercial portfolios. For asset managers operating across multiple geographies and property types, these tools compress decision cycles and reduce operational variance.

Industry leaders gathering at GRI Institute events focused on the Indian market have increasingly identified AI-enabled asset management as a competitive differentiator, particularly as global institutional capital raises its expectations for operational transparency and ESG reporting precision.

What does AI adoption mean for construction, logistics, and deal flow?

The impact extends well beyond office portfolio management. In construction, advanced execution technologies are accelerating project delivery timelines and reducing cost overruns. Firms such as MSLG Projects, which specializes in structural execution using technologies like Mivan shuttering systems in markets such as Hyderabad and Bangalore, represent the construction sector's engagement with technology-driven efficiency. While specific AI-related ROI metrics for individual construction firms remain limited in public disclosures, the broader trend is clear: digitized construction workflows powered by building information modeling, computer vision for quality assurance, and AI-driven scheduling optimization are gaining traction across India's top-tier developers.

In logistics and warehousing, institutional deal flow is already reflecting the convergence of digital infrastructure demand with traditional real estate fundamentals. Blackstone acquired nearly 5 million square feet of warehousing assets from LOGOS India for over Rs 1,725 crore in 2024, as reported by The Economic Times. That transaction underscores how logistics real estate, increasingly intertwined with data center adjacencies and AI-powered supply chain optimization, has become a magnet for institutional capital.

LOGOS India's portfolio, concentrated in high-demand logistics corridors, exemplifies the asset class where AI-driven demand forecasting, automated warehouse management, and last-mile delivery optimization create measurable operational value for tenants, which in turn supports rental growth and valuation premiums for landlords.

The infrastructure corridor connecting highway concessions to real estate development adds another dimension. Highway Concessions One Private Limited, now operating as Vertis Fund Advisors, illustrates the pipeline from infrastructure investment to real estate value creation along India's expanding highway network. As AI tools improve traffic modeling, land-use forecasting, and demand projection for mixed-use developments along transport corridors, the operator-to-developer pathway becomes more data-rich and less speculative.

The regulatory framework: light-touch governance with emerging guardrails

India's policy environment for AI in real estate is evolving in parallel with market adoption. The India AI Governance Guidelines, released by MeitY in November 2025, establish a foundational reference for responsible AI deployment. The framework follows a light-touch model that prioritizes innovation while seeking to mitigate potential harms, a calibration designed to avoid stifling the rapid adoption rates visible in sectors like commercial real estate.

More specific regulatory action arrived in February 2026 with the IT Rules Amendment, which amends the Information Technology Rules, 2021, to regulate synthetically generated information and deepfakes. While not directly targeting real estate operations, this amendment has implications for property marketing, virtual staging, AI-generated property descriptions, and digital identity verification in leasing and sales transactions.

The broader Digital India Act, proposed legislation intended to replace the Information Technology Act, 2000, remains in draft status. Its eventual passage would establish a more comprehensive regulatory architecture for AI across sectors, including real estate. Institutional investors and developers operating in India should monitor its progress, as it will likely shape data governance, algorithmic transparency, and cross-border data flow requirements that affect portfolio-level technology strategies.

For the real estate sector, the current regulatory posture creates a window of opportunity. Firms that invest now in compliant, well-architected AI systems position themselves ahead of stricter requirements that will almost certainly arrive as adoption matures.

Proptech investment and the data center backbone

The USD 1.31 billion Indian proptech market valuation recorded in 2025, per IMARC Group, reflects a maturing ecosystem that spans property discovery platforms, construction technology, tenant experience applications, and AI-powered investment analytics. The projected growth to USD 3.82 billion by 2034 at a 12.26% CAGR indicates sustained capital inflows into the technology layer that sits atop physical real estate assets.

Supporting this growth is the rapid expansion of data center infrastructure. Cushman & Wakefield projects installed colocation capacity in India to reach 1.7 GW by the end of 2026. AI workloads, with their intensive compute and storage requirements, are a primary demand driver. For real estate investors, data centers represent both a direct investment opportunity and an enabling infrastructure for the AI tools transforming other property sectors.

The convergence is circular: AI tools improve the efficiency and returns of real estate portfolios, while real estate capital flows into the physical infrastructure, data centers, fiber networks, and edge computing facilities, that AI requires to function. This feedback loop is accelerating capital formation at both ends.

Quantifying the convergence: key metrics for 2025–2028

Several data points define the current state and near-term trajectory of AI's intersection with Indian real estate.

AI adoption in Indian corporate real estate reached 91% in 2025, up from under 5% in 2023, according to the JLL Global Technology Survey 2025. Budget commitment is equally strong: 93% of CRE decision-makers plan to allocate capital for foundational system upgrades to support AI integration. India's proptech market stands at USD 1.31 billion in 2025 and is projected to reach USD 3.82 billion by 2034 at a 12.26% CAGR, per IMARC Group. Colocation data center capacity is on track to hit 1.7 GW by the end of 2026, according to Cushman & Wakefield.

Taken together, these figures describe a market where technology adoption has moved from experimentation to operational integration. The repricing effect, where AI-enabled assets command higher valuations, attract more institutional capital, and deliver superior operational performance, is becoming visible across asset classes from Grade A offices to logistics parks to data centers.

GRI Institute continues to track this convergence through its programming and member engagement across India's real estate and infrastructure sectors. As AI transitions from a competitive advantage to a baseline expectation, the institutions that built their data foundations early will define the next cycle of value creation in Indian real estate.