Qatar's AI market forecast to pass $2bn by 2030 on 25% annual growth

Qatar's artificial intelligence market is forecast to pass $2 billion by 2030, with its four component segments growing at a compound annual rate above 25 percent between 2025 and 2030. The projection comes from an analysis by Strategy& Middle East.

AI platforms make up the largest share, at about $700 million. AI products account for roughly $500 million, while professional services and AI infrastructure are each put at about $400 million. The split matters: it describes an ecosystem that runs well past data centres and computing hardware.

Each segment does a distinct job. Platforms supply the foundation on which AI applications are built and operated. Products turn platform capability into systems aimed at a particular industry or customer need. Professional services carry deployment, integration and the operational change that follows. Infrastructure provides the computing capacity to run the technology at all.

The study argues that Qatar's next phase should depend less on buying and deploying technology and more on reusable AI products sold beyond the country's borders. Government entities, state-linked companies and priority industries can give local firms their first customers. Testing at home can come before a regional push.

A compact economy helps here. So does proximity: closer links among government, regulators, researchers, businesses and technology providers would move faster toward AI built around local requirements, and those solutions can then be adapted for other Gulf markets. Opportunities run across public services, energy, financial services, healthcare, logistics and industrial operations.

Regulatory requirements, local data and sector knowledge all shape how a system has to work. That is why the consultancy recommends picking problems several organisations share rather than building isolated systems for individual users. A tool designed for one government department or industrial operator can be structured for reuse by another, with core components adapted instead of the whole system rebuilt.

Handled that way, domestic AI spending produces commercially valuable assets that outlast the original project. Procurement frameworks should settle IP ownership, reusable software components and data rights from the outset. Clear terms give developers a clearer route to commercialise what they deploy, and major projects should leave behind products, capabilities and IP that Qatari companies can keep developing and selling.

Qatar does not need to control every layer of the AI value chain. It can concentrate investment on sovereign AI and on the industries that matter most to its economy, sourcing capabilities through international partnerships where that is more efficient than building them locally. Compute still counts.

The colocation market is estimated to need about 120 megawatts of utilised IT power capacity by 2030. As of July 2026, announced developments leave a gap of roughly 20 percent between projected requirements and planned capacity, which the analysis treats as an investment opportunity in data centre infrastructure. It also cautions against adding capacity without clear underlying customer demand. Extra infrastructure earns its keep only if it supports the platforms and products businesses and government actually use, and if it helps draw customers from outside Qatar.

Qatar already holds connectivity, sovereign cloud and technology building blocks through Qai, Ooredoo and Syntys. Clearer commercial arrangements for infrastructure access, revenue sharing, product ownership and IP rights would help, alongside better coordination that produces a connected national technology ecosystem rather than a set of isolated initiatives.

The larger prize sits outside the domestic market. Sovereign AI for regulated industries is one route, Arabic-language applications another, along with specialised technology for energy, financial services and logistics. Gulf economies face the same demands for Arabic functionality, data localisation, cybersecurity and regulatory control, so solutions built for those conditions in Qatar could travel. A product designed to satisfy one Gulf regulator starts with an advantage elsewhere in the region.

Expansion is best considered while a product is being developed, not after it is finished. That means identifying reusable components early, settling ownership early and talking to prospective regional customers while the work is still in progress. Existing corporate networks can shorten the path. Ooredoo operates across eight markets in the Middle East, North Africa and South Asia and offers one route to test or commercialise Qatari AI beyond the country.

The study also wants broader measures of Qatar's AI progress. Infrastructure capacity, partnerships and pilot projects still matter. Commercial outcomes will increasingly indicate whether investment creates lasting economic value: products reused by several customers, IP owned or co-owned in Qatar, the share of domestic AI workloads served locally, regional customers secured and revenue from technology exports. Counting economic activity rather than investment volume changes what registers as success.

Chady Smayra, a partner at Strategy&, said Qatar's future AI value will depend on what its technology companies can commercialise, including reuse of locally developed systems and attracting customers outside Qatar.

That framing puts procurement and measurement in the same conversation. Contracts that fix data rights and IP decide which assets survive a project; metrics that count reuse and export revenue decide which ones get funded. Qatar and Google separately plan to develop an AI property valuation platform aimed at real estate transparency.