17.02.2025
Unleashing the power of ai in the mena region: fintech, energy and tourism
  • Key takeaways:
  • AI contribution to the fintech, energy and tourism sectors will exceed $170 billion by 2034. Individual countries within the MENA region have already started to derive the benefits.
  • The main AI application areas include data analytics, decision-making processes, fraud detection and customer service.
  • With the UAE, Saudi Arabia, Egypt, Oman and Kuwait at the helm, governments are to tackle skill gaps, enhance cybersecurity and cultivate a thriving AI ecosystem.

MENA countries’ promoting investment in AI generates positive externalities for various industries. For more on this topic, see our article on AI Transforming Retail, Public Sector and Transportation. To provide an even more comprehensive view, transformative opportunities in such vital areas as fintech, energy and tourism should be taken into account as well.

Fintech

The global AI in fintech market is expected to expand from $13.5 billion in 2024 to $58.7 billion by 2034, reflecting a robust CAGR of 15.9%. The MENA fintech market size is estimated to increase from $1.5 billion in 2024 to $2.4 billion by 2029, growing at a CAGR of 9.7% during the forecast period.

With AI utilized for algorithmic trading, fraud detection, customer service and credit scoring, financial services, along with professional and administrative ones, will account for 13.6% of AI contribution to the Middle East GDP by 2030.

Aiming to enhance decision-making, streamline processes and improve client experience, a number of initiatives is launched:

energy

The global AI in energy market size was $13.18 billion in 2023, is calculated at $15.45 billion in 2024 and is projected to be worth around $75.53 billion by 2034.

Global AI in Energy market size, 2024-2034 ($ billion)
The economies of the MENA countries, which were built on energy sectors dominated by the extraction of oil and gas, tend to prioritize renewable sources in their AI strategies. By 2030, the region is expected to attract over $1 trillion in renewable energy investments, paving the way for new industries, job creation and increased collaboration.

For instance, as part of the Saudi Vision 2030 in the energy sector, KSA aims to generate 50% of its energy from renewable sources, intending to install 130 gigawatts (GW) by 2030, 58.7 GW of which is expected to come from solar and 40 GW from wind. With solar and wind energy playing pivotal roles, the goal is to be achieved through applying AI to predict equipment failures, reduce downtime and maintenance costs, and improve grid management. NEOM and the Red Sea project, expected to be powered entirely by renewable energy, are the major ambitions.

Achievements in non-renewable energy are outstanding as well.
Source: Aramco

Tourism

The global AI in tourism market size is predicted to soar from $4.82 billion in 2024 to $35.62 billion by 2032.

Global AI in Tourism market size, 2024-2032 ($ billion)
The MENA hospitality market size, including travel and tourism components, was valued at $286 billion in 2024 and is expected to grow from $310.04 billion in 2025 to $487.36 billion by 2032 at a CAGR of 6.7%.

The UAE and KSA industriesremain at the forefront, with the travel & tourism market size surpassing $61.3 and $53.2 billion respectively. Their proposals address the most pressing needs such as to personalize travel recommendations, optimize itineraries, provide client support and correlate customer preferences with the market supply.
Deeper analysis reveals that each of the sectors described has its own weaknesses, therefore governments, eager to facilitate safe and responsible AI deployment, will necessarily have to overcome a number of constraints.

Taking action: problem and solution

AI technology is likely to revolutionize societies in the MENA region. However, there is work to be done, from cultivating the talent to establish and optimize AI infrastructure to developing robust regulatory frameworks to promote responsible technology use and development.

Shaping the future through joint efforts

Despite the shared priority of AI across the MENA governments, examples of cooperation in the field are scarce. The fragmented policy environment can be explained by varying levels of the technology development in the countries concerned.

Breaking the barrier requires a proactive approach, enabling discussions on how policy priorities should be aligned for the benefit of the region while maintaining individual national interests.

The MENA countries share language and cultural traits, and bringing policies closer together could help to create a large localised data pool and regional AI developments. But will geographical proximity and historical ground be enough to collaborate amid political tensions and growing economic competition?

References:

Alena Rezchikova