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MENA IT Spending Set To Reach $230.7 Billion By 2025, Driven By AI, Cloud, And Data Center Investments

The Middle East and North Africa (MENA) region is poised for substantial growth in IT spending, with projections indicating a rise to $230.7 billion in 2025, a 7.4 percent increase from 2024. According to Gartner’s latest forecast, this growth is largely attributed to heightened investments from both governments and private sector enterprises, all aiming to position the region as a global leader in AI innovation. Critical to these advancements are strong cybersecurity measures and the adoption of cloud platforms, essential for building a flexible and scalable infrastructure.

Investments In Research, Development, And AI

Local organizations across MENA are ramping up investments in research and development to foster new business models, enhance customer experiences, and develop a competitive, skilled workforce for the global stage. These strategic investments are driving the surge in IT spending. Among the standout sectors, data center systems are expected to lead the pack with the highest annual growth rate, projected at an impressive 14.9 percent in 2025. This surge is propelled by the growing demand for AI adoption, cloud services, and an increased need for data storage and processing capabilities.

As organizations continue to embrace AI and cloud-based solutions, several major hyper-scalers are investing heavily in data center systems, which will be crucial for delivering sustainable, scalable AI-powered cloud infrastructures. These efforts will further accelerate the growth of the data center segment.

Software Investments Driven By Generative AI

The software sector is also set to see significant growth, with a 13.7 percent increase expected in 2025. This surge is largely fueled by a focus on generative AI (GenAI) applications. CIOs in the region are directing their investments toward digital workplace enhancements, improving customer experiences, and boosting the quality of products and services. The integration of GenAI, cloud services, and cybersecurity is empowering organizations to innovate more quickly while ensuring that these advancements are secure.

Starting in 2025, CIOs are anticipated to adopt a more strategic approach to their GenAI projects, leveraging lessons learned from previous trials to better address challenges related to data management and the balance between costs and value. To achieve success, they must align business outcomes with their organizational priorities, focusing on data and analytics (D&A) and AI literacy to move from theoretical knowledge to practical application. This approach will maximize the return on their GenAI investments, ensuring sustained innovation and competitive advantage.

Forecast Methodology

Gartner’s IT spending forecast methodology is rooted in rigorous analysis of sales data from over 1,000 vendors across all categories of IT products and services. This comprehensive outlook provides valuable insights into spending patterns across hardware, software, IT services, and telecommunications, helping businesses identify emerging market opportunities and navigate potential challenges.

Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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