Sovereign AI and market access
Deloitte’s State of AI in the Enterprise finds that more than three in four companies (77%) now factor an AI solution’s country of origin into vendor selection, and nearly three in five (58%) build their AI stacks primarily with local vendors. Deloitte concludes that “geographic sovereignty is now as important as innovation.”
For a company selling technology across borders, that moves a technical question into the sale itself. Where a product is built, hosted and supported, and with whom, now shapes which markets it can enter and which partners it needs. Those are the decisions to which Fractionova brings AI-native Opportunity Intelligence and principal-led judgement.
State of AI in the Enterprise: The untapped edge is published by the Deloitte AI Institute. Released in January 2026, it draws on a survey of 3,235 director- to C-suite-level leaders in 24 countries, including India, the UAE and Saudi Arabia, fielded in August and September 2025, and on 15 interviews. Every participating organisation already uses AI daily. Figures are Deloitte’s and reflect what respondents report; the interpretation is Fractionova’s. Fractionova is not affiliated with Deloitte.
Sovereign AI, in Deloitte’s definition: AI designed, trained and deployed under a country’s own laws, on infrastructure it controls, using locally governed data.
Deloitte describes sovereign AI as AI that a country, and the companies operating within it, design, train and deploy under their own laws, on infrastructure they control, using locally governed data. The survey suggests it is no longer a public-sector concern. Four findings show how far it has travelled into commercial decisions.
83% of companies rate data residency and in-country or in-region compute as at least moderately important to their strategic planning, and 43% rate them very or extremely important.
Importance to strategic planning · % of companies · may not sum to 100
77% factor an AI solution’s country of origin into vendor selection, and 58% now build their AI stacks primarily with local vendors.
A former telecoms executive interviewed by Deloitte describes international customers that are “adamant” about in-country infrastructure, and notes particular scepticism among state-run companies towards technology from outside the country.
66% are at least moderately concerned about their reliance on foreign-owned AI technologies and compute, and 22% are very or extremely concerned.
Concern over reliance on foreign-owned AI · % of companies
11% of companies in the Americas rely on foreign-sourced solutions for most of their AI stack, against 32% in Europe, the Middle East and Africa. Deloitte’s EMEA sample includes 225 respondents in the Gulf states, 130 of them in the UAE and 70 in Saudi Arabia.
Rely on foreign-sourced solutions for most of the AI stack · % of companies
A note on the sample: every organisation Deloitte surveyed already has AI in daily use, and every respondent is involved in AI decisions or implementation. The figures describe AI-active enterprises, which may be ahead of the wider market. The survey was fielded in August and September 2025.
A finding matters commercially when it is connected to a specific business. For a technology supplier selling across borders, these are the questions Fractionova would put first, organised by the dimension of the opportunity they affect.
Policy & geostrategic conditions
Deloitte advises companies to establish which data and workloads must remain within national or regional boundaries, and where local model hosting is mandatory. Because requirements vary by country, companies working across borders are building customised solutions for different markets.
Which of our target markets require in-country data, hosting or model control, and for which customers?
Customer demand
77% of companies weigh an AI solution’s country of origin when choosing vendors. Origin has become one of the criteria a sale is judged on.
Which buyer segments treat origin as a condition of purchase, and which treat it as a preference?
Partners & counterparties
58% build their AI stacks primarily with local vendors. Where that holds, a local hosting, integration or co-development partner may become part of the offer, not only the route to market.
Which local partner could host, integrate or co-develop with us, and on what terms?
Technology & capability
Deloitte notes that compute strategy now means evaluating both where data resides and where it is processed, across cloud, on-premises, hybrid and edge. Its interviewee describes building a distilled small language model for customers to meet import and export control rules.
Can our product be deployed, hosted and supported in-country without losing what makes it competitive?
Economics & commercial potential
Serving each market under its own requirements adds hosting, compliance and support costs. Deloitte argues that companies ignoring sovereign constraints face higher compliance risk and restricted access to key markets.
Does the market justify the cost of meeting its requirements, and which markets share them?
Timing & market readiness
Deloitte suggests that companies engaging early can reduce regulatory uncertainty, build customer trust and position themselves as preferred partners in industries where sovereignty concerns dominate.
Is now the point to localise, or should we enter first and localise once demand is proven?
Deloitte’s survey is not the only one to find it. In DMCC’s Future of Trade 2026, more than 80% of the senior trade leaders surveyed described data localisation as a major or moderate constraint. The two surveys ask different questions of different samples, so their figures should not be combined. They point the same way.
Deloitte reports its sovereign AI results by region, not by country, so it does not show how India or the UAE compare. For a business connected to either, the practical question is the same: how a product reaches a buyer that wants it hosted, governed and supported closer to home, and which partner makes that possible.
Bring the question in the form your board would ask it.
Customers now ask where our AI is built and hosted. Which markets does that close, and which does it open?
Do we need a local partner to host, integrate or co-develop in this market?
Should we localise before we enter, or enter first and localise once demand is proven?
What does Opportunity Intelligence investigate, and how?
This is a hypothetical illustration, not a client engagement or a claim of achieved outcomes.
A European industrial-software company sells AI-based predictive maintenance to manufacturers and utilities. Prospective customers in India and the UAE, including state-linked operators, have asked for in-country hosting and local support as a condition of purchase. Its leadership needs to decide how to serve both markets.
Fractionova’s AI engine would connect each market’s data and hosting requirements with buyer segments, partner capability, delivery economics and timing. Principal-led review would establish which route supports the next commitment and what evidence would justify it.
Serve from home with assurancesKeep development and hosting at home and meet requirements through contracts, audits and documentation. The questions are which customers would accept it, and for how long.
Host in-country through a partnerDeploy on local infrastructure with a hosting or integration partner. The questions are which partner, the cost to serve and who owns the customer relationship.
Co-develop or license locallyBuild a localised version with a domestic partner under licence. The questions are what capability transfers, how it is protected and what the partner adds to market access.
You do not need to choose a format first. The starting point is the decision your business needs to make.
Concentrated intelligence for a consequential choice.
A focused investigation around a defined decision, culminating in a decision brief with the recommended direction, unresolved questions and conditions for commitment.
For example: Choose between serving a market from home and hosting in-country before the next major tender.
A coordinated mandate to develop market access and commercial relationships.
An integrated investigation into market priorities, entry structures and counterparties, with prioritised partners and preparation for engagement.
For example: Identify hosting, integration and co-development partners in India or the UAE, and prepare engagement.
A retained intelligence capability around your strategic agenda.
Recurring investigation and monitoring, supported by agreed business context and structured principal-led reviews.
For example: Monitor data, hosting and procurement requirements across target markets as they change.
Each engagement is commissioned against a defined business objective. Scope and fees reflect the analytical depth, market coverage, counterparty work and continuity required.
Founder & Principal Prabha Shankar leads the technical-commercial judgement behind Fractionova’s work. An engineer and international business specialist, he brings nearly three decades of experience across automotive engineering management, advanced mobility, new energy, international market development and complex programme execution.
At Fractionova, that experience shapes the questions put to the AI engine, the assumptions challenged during investigation and the commercial significance assigned to its findings.
Deloitte describes sovereign AI as AI that a country, and the companies operating within it, design, train and deploy under their own laws, on infrastructure they control, using locally governed data. The aim is to reduce dependence on foreign vendors for critical AI capabilities.
In Deloitte’s survey of 3,235 leaders, published in January 2026, 83% rated data residency and in-country or in-region compute as at least moderately important to strategic planning, and 77% said they factor an AI solution’s country of origin into vendor selection. Every surveyed organisation already uses AI daily.
If buyers weigh where an AI product is built and hosted, those factors shape which markets it can enter, the partners it needs and the cost of serving each market. They become part of the entry decision, not a later compliance task.
Deloitte’s sample includes India, the UAE and Saudi Arabia, but it reports sovereign AI results by region rather than by country. DMCC’s Future of Trade 2026 separately found that more than 80% of trade leaders surveyed see data localisation as a major or moderate constraint. Requirements should be tested for the specific product, customer and market.
Fractionova brings AI-native Opportunity Intelligence and principal-led judgement to cross-border decisions: which markets to enter, which partners to engage and which entry model to adopt, including where requirements for local hosting and data shape the answer.
Microsoft finds AI users in India and the UAE well ahead of the global average. What buyer readiness changes, and does not, for suppliers entering.
DMCC’s Future of Trade 2026 places the UAE between rival trade blocs. Six trade shifts and the India–UAE configuration, translated into commercial decisions.
PwC finds automotive executives turning to South Asia for growth and Indian automakers buying capability. What that means for licensing, partners and market entry.
A market to enter. A partner to qualify. A hosting model to choose. A localisation case to test.
Start with what you are considering, what is at stake and what you need to determine.
Sources and notes. Figures are from the Deloitte AI Institute, State of AI in the Enterprise: The untapped edge (January 2026): a survey of 3,235 director- to C-suite-level leaders across six industries and 24 countries, fielded between August and September 2025, with 15 interviews. All participating organisations have AI in daily use. Sovereign AI findings are from figures 5 and 6 and pages 15, 16 and 33; percentages may not sum to 100 because of rounding. The data localisation figure is from DMCC, Future of Trade 2026: Rebuilding Through Rupture (June 2026), a survey of more than 130 businesses; the two surveys are not combined. Fractionova is not affiliated with Deloitte or DMCC.
Fractionova equips clients with intelligence and considered recommendations to inform their decisions. Investment and implementation decisions remain with the client; execution and outcomes depend on the organisations involved and prevailing conditions.