TL;DR
NITI Aayog’s Investment Friendliness Index 2026 measures how 36 Indian states and Union Territories perform across eight weighted pillars: infrastructure, business climate, resources, regulatory ease, government policy, financial health, institutional environment, and environmental resilience. The index’s central finding is that execution infrastructure, not fiscal sweeteners, is what predicts durable capital inflows, and the states that rank highest are not always the states currently receiving the most capital, a divergence with direct implications for how private capital allocators identify underpriced regional opportunity.
India’s real GDP grew at an average of 6.1% annually between fiscal 1992 and fiscal 2025, with capital deepening accounting for more than half of that expansion. Reaching the next stage of growth, the kind required for India’s high income ambitions over the next two decades, depends less on the direction set by national policy and more on execution quality at the state level. This is the premise the IFI 2026 is built to test.
The concentration numbers make the case starkly: roughly 85% of India’s FDI inflows sit in just five states Maharashtra, Karnataka, Gujarat, Delhi, and Tamil Nadu while the entire Northeastern region combined accounts for under 1%. National reform sets the ceiling; state level friction determines how much of that ceiling gets used.
The IFI evaluates 62 quantitative metrics and 22 perception based indicators drawn from a survey of more than 1,850 businesses and enterprises. The weighting is the most telling part of the methodology:
| Pillar | Weight |
|---|---|
| Infrastructure | 25% |
| Business Climate | 20% |
| Resources (Human & Natural) | 15% |
| Regulatory Ease | 12% |
| Government Policy | 10% |
| Financial Health | 7% |
| Institutional Environment | 6% |
| Environment Resilience | 5% |
Infrastructure and business climate together account for 45% of the total score more than four times the weight given to government policy. The index is effectively encoding a thesis: logistics reliability, power supply, and how easily a business can operate day to day matter more to long term capital than the incentive package used to attract it in the first place.
Out of 36 regions assessed, five crossed the 50 point composite threshold:
| Rank | State | Composite Score | Primary Structural Edge |
|---|---|---|---|
| 1 | Gujarat | 56.6 | Port turnaround speed, power cost, export scale, fiscal discipline |
| 2 | Maharashtra | 53.7 | PE/VC capital density, innovation infrastructure |
| 3 | Tamil Nadu | 53.3 | Near 100% MoU to execution conversion, export intensity |
| 4 | Goa | 53.1 | Skilling and health spend, STEM enrollment, connectivity |
| 5 | Odisha | 52.4 | Mineral resource base, lowest debt servicing load |
Gujarat’s lead is a logistics and fiscal story: the state has the lowest capacity weighted port turnaround times nationally, industrial power tariffs roughly 29% below the national average with 23.8 hours of average daily supply, and it accounts for close to a third of India’s total merchandise exports. Its gross fiscal deficit, at 2.81% of GSDP in FY24, is the lowest of any state, and total liabilities sit around 40% below the large state average.
Maharashtra’s edge runs through capital markets rather than logistics; it captures roughly 35% of India’s total PE/VC investment and hosts over a thousand Atal Tinkering Labs, about 10% of the national total, alongside the highest GSDP per capita among large states.
Tamil Nadu’s advantage is procedural: a near 100% conversion rate from signed investment MoUs to actual ground execution, paired with an export to GSDP ratio 36% above the large state average, the kind of execution consistency that reduces the gap between an announcement and a functioning factory.
Odisha rounds out the group on resource depth and balance sheet discipline, producing half of India’s metallic minerals and just under a quarter of national coal output, while carrying the lowest interest payment burden of any state at 1.38% of GSDP.
This is where the report’s real value to capital allocators sits. FDI concentration and competitiveness are not the same map. Uttarakhand posts a score of 47.5, built on a high rate of new workforce entrants, industrial bank credit running 66% above its peer average, and strong patent filings yet it does not appear anywhere near the top of India’s capital inflow tables. Goa scores competitively on health and skilling spend as a share of GSDP and STEM enrollment, again without commensurate capital share.
Call this the State Alpha Gap: the distance between a state’s underlying structural competitiveness and the capital it currently attracts. Public FDI data captures where money has already gone; an indicator level competitiveness index like the IFI captures where the operating conditions justify more money going next. For institutional allocators LPs sizing regional exposure, GPs scouting deployment corridors, corporates picking a second manufacturing base the gap between the two maps is closer to a leading indicator than a footnote. States correcting friction faster than the market is pricing them tend to be where the next capital rotation shows up first, not the states already crowded with the last one.
The report’s data also points to two supporting mechanisms behind this gap. First, friction reduction, single window clearances, faster land allotment, faster construction permitting has a larger measurable effect on sustained industrial growth than back ended subsidies; Tamil Nadu and Gujarat’s rankings are built on process speed, not incentive size. Second, utility reliability functions as a direct cost lever: Delhi’s 24 hour power supply and Gujarat’s 23.8 hour average translate into real productivity gains, while a state like Maharashtra, despite its capital density, carries industrial tariffs roughly 10.4% above the peer average a cost drag on power intensive manufacturing that its capital markets strength currently offsets but does not eliminate.
Balance sheet health is the constraint that ties both mechanisms together. States with heavy interest burdens Punjab’s liabilities near 46% of GSDP, or Jammu & Kashmir’s interest payments at 7.13% of GSDP have less room to fund the secondary infrastructure or honor the incentive commitments that would otherwise convert a competitiveness score into realized capital.
Because a hill state and a city state UT are not competing on the same terrain, the index groups states into three peer categories, each with its own leader:
| Category | Leader | Score | Strength | Open Gap |
|---|---|---|---|---|
| Large States | Gujarat | 56.6 | Port efficiency, low power tariffs, export share | Technical workforce growth, healthcare capex |
| Hilly & Northeastern | Uttarakhand | 47.5 | Workforce entrants, industrial credit, patents | Transport resilience, last mile connectivity |
| UTs & City States | Goa | 53.1 | Skilling/health spend, STEM enrollment, airport access | Environmental clearance speed, labor dispute resolution |
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