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Digital Tech Will Help Saudi Arabia Host 30 Million Pilgrims By 2030

For the last two decades, the Hajj pilgrimage has been typically attended by 2 to 3 millions of pilgrims.

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digital tech will help saudi arabia host 30 million pilgrims by 2030

This year’s Hajj pilgrimage was open to 1 million pilgrims from Saudi Arabia. By 2030, Saudi Arabia would like to host as many as 30 million pilgrims. To make this ambitious goal possible, the Kingdom is betting on digital technology.

One tech initiative that was launched by the Saudi Ministry of Hajj and Umrah earlier this year is Hajj Smart ID, a smart ID card with barcodes containing pilgrim’s personal information and documentation. The card frees pilgrims from having to carry official documents, and it also helps guide pilgrims to their residences, among other things.

Last year, Saudi Data and Artificial Intelligence Authority (SDAIA) and Doyof Al Rahman Program (DARP) launched the Pilgrim’s Smart Bracelet (NUSK) project. The bracelet is intended to help organizers track pilgrim’s health information and vaccination records.

Tech initiatives like Hajj Smart ID and the smart bracelet project are guided by the Pilgrim Experience Program, a core component of Saudi Vision 2030. The program strives to give as many Muslims as possible the opportunity to perform Hajj and Umrah to the fullest extent while working on enhancing their experience.

Also Read: Cisco Unveils Strategic Vision For Enterprise Cloud Security In MENA

“These technological solutions can help attract more Muslims to the two holy mosques, ultimately achieving the Kingdom’s goals in the Saudi Vision 2030 to welcome millions of pilgrims and help them with high-quality services and enrich their experience in the kingdom,” said Amr Al-Madah, Deputy Minister of Hajj and Umrah.

For the last two decades, the Hajj pilgrimage has been typically attended by 2 to 3 millions of pilgrims. The last three years were exceptions caused by the COVID-19 pandemic, with the year 2020 seeing a record low attendance of just 1,000 pilgrims. It will be interesting to see how this new digital technology will be able to effectively handle almost 30x the amount of pilgrims by the end of the decade.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
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Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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