Saudi ports cargo throughput rises 8.6% to 22.52m tonnes in September 

Saudi ports’ strong performance supports trade, maritime industries, tourism, and supply chains. Shutterstock
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Updated 07 October 2025
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Saudi ports cargo throughput rises 8.6% to 22.52m tonnes in September 

JEDDAH: Saudi Arabia’s ports handled 22.52 million tonnes of cargo in September, up 8.6 percent from the same month last year, reflecting the Kingdom’s expanding maritime trade. 

The growth included 1.22 million tonnes of general cargo, 5.7 million tonnes of dry bulk, and 15.6 million tonnes of liquid bulk, according to a release by the Saudi Ports Authority, known as Mawani. 

Saudi ports’ strong performance supports trade, maritime industries, tourism, and supply chains, while contributing to the Kingdom’s food security and its goal of becoming a major logistics hub connecting Asia, Europe, and Africa under Vision 2030. 

“Maritime traffic also rose by 1.11 percent to reach 1,001 vessels, compared to 990 vessels during the same period last year,” the statement noted, adding that passenger numbers increased by 58.56 percent to reach 71,376 passengers, compared to 45,015 passengers in September last year. 

It further said that the number of vehicles decreased by 20.09 percent to reach 75,616, compared to 94,630 a year ago. 

“The ports received 285,657 cattle heads, marking a decrease of 17.07 percent compared to 344,440 heads of livestock during the same period last year,” Mawani said. 

It added that handled containers fell 2.75 percent to 654,865 Twenty-foot Equivalent Units from 673,368 TEUs in September 2024. 

Exported containers amounted to 237,349 TEUs, a decrease of 7.14 percent compared to 255,606 in September 2024, while imported containers declined by 3.02 percent to reach 250,725 TEUs compared to 258,521 the same period last year. 

Transshipment containers, meanwhile, recorded an increase of 4.74 percent to reach 166,791 TEUs, compared to 159,241 during the ninth month of 2024. 

In August, Saudi ports handled 750,634 TEUs, a 9.52 percent increase from the 685,414 seen in the same period of 2024, driven by a 14.7 percent rise in transshipment activity to 189,407 TEUs. 


Saudi Arabia looks to Swiss-led geospatial AI breakthroughs

Updated 12 December 2025
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Saudi Arabia looks to Swiss-led geospatial AI breakthroughs

  • IBM’s Zurich lab is shaping tools policymakers could use to protect ecosystems

ZURICH: For Gulf countries such as Saudi Arabia, AI-powered Earth observation is quickly becoming indispensable for anticipating climate risks, modeling extreme weather and protecting critical national infrastructure. 

That reality was on display inside IBM’s research lab in Zurich, where scientists are advancing geospatial AI and quantum technologies designed to help countries navigate a decade of accelerating environmental volatility.

The Zurich facility — one of IBM’s most sophisticated hubs for climate modeling, satellite analytics and quantum computing — provides a rare look into the scientific foundations shaping how nations interpret satellite imagery, track environmental change and construct long-term resilience strategies. 

Entrance to IBM Research Europe in Zurich (left); inside IBM’s hardware development lab, (top, right); and IBM’s Diamondback system. (AN Photos by Waad Hussain)

For Saudi Arabia, where climate adaptation, space technologies and data-driven policy align closely with Vision 2030 ambitions, the lessons emerging from this work resonate with growing urgency.

At the heart of the lab’s research is a shift in how satellite data is understood. While traditional space programs focused largely on engineering spacecraft and amassing imagery, researchers say the future lies in extracting meaning from those massive datasets. 

As Juan Bernabe-Moreno, director of IBM Research Europe for Ireland and the UK, notes, satellites ultimately “are gathering data,” but real impact only emerges when institutions can “make sense of that data” using geospatial foundation models.

r. Juan Bernabe Moreno, Director of IBM Research Europe for Ireland and the UK/(AN Photo by Waad Hussain)

These open-source models allow government agencies, researchers and local innovators to fine-tune Earth-observation AI for their own geography and environmental pressures. Their applications, Bernabe-Moreno explained, have already produced unexpected insights — identifying illegal dumping sites, measuring how mangrove plantations cool cities, and generating flood-risk maps “for places that don’t usually get floods, like Riyadh.”

The relevance for Saudi Arabia is clear. Coastal developments require precise environmental modeling; mangrove restoration along the Red Sea is a national priority under the Saudi Green Initiative; and cities such as Riyadh and Jeddah have recently faced severe rainfall that strained existing drainage systems. 

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The ability to simulate these events before they unfold could help authorities make better decisions about zoning, infrastructure and emergency planning. Today’s satellites, Bernabe-Moreno said, provide “an almost real-time picture of what is happening on Earth,” shifting the challenge from collecting data to interpreting it.

This push toward actionable intelligence also reflects a larger transformation in research culture. Major advances in Earth observation increasingly depend on open innovation — shared data, open-source tools and transparent models that allow global collaboration. “Open innovation in this field is key,” Bernabe-Moreno said, noting that NASA, ESA and IBM rely on openness to avoid the delays caused by lengthy IP negotiations.

Scientific posters inside IBM’s research facility showcasing decades of breakthroughs in atomic-scale imaging and nanotechnology. (AN Photo by Waad Hussain)

Saudi Arabia has already embraced this direction. Through SDAIA, KAUST and national partnerships, the Kingdom is moving from consuming global research to actively contributing to it. Open geospatial AI models, researchers argue, give Saudi developers the ability to build highly localized applications adapted to the region’s climate realities and economic priorities.

Beyond Earth observation, IBM’s Zurich lab is pushing forward in another strategic frontier: quantum computing. Though still in its early stages, quantum technology could reshape sectors from logistics and materials science to advanced environmental modeling. 

Alessandro Curioni, IBM Research VP for Europe and Africa and director of the Zurich lab, stressed that quantum’s value should not be judged by whether it produces artificial general intelligence. Rather, it should be viewed as a tool to expand human capability. 

 Dr. Alessandro Curioni, VP of IBM Research Europe and Africa & Director of IBM Research Zurich/ (AN Photo by Waad Hussain)

“The value of computing is not to create a second version of myself,” he said, “it’s to create an instrument that allows me to be super-human at the things I cannot do.”

Curioni sees quantum not as a replacement for classical computing but as an extension capable of solving problems too complex for traditional machines — from simulating fluid dynamics to optimizing vast, interdependent systems. But he cautioned that significant challenges remain, including the need for major advances in hardware stability and tight integration with classical systems. Once these layers mature, he said, “the sky is the limit.”

DID YOU KNOW?

• Modern satellites deliver near real-time views of Earth’s surface.

• Geospatial foundation models transform vast satellite datasets into clear, actionable insights.

• These tools can produce flood-risk maps for cities such as Riyadh, analyze how mangroves cool urban areas, and even detect illegal dumping sites.

Saudi Arabia’s investments in digital infrastructure, sovereign cloud systems and advanced research institutions position the Kingdom strongly for the quantum era when enterprise-ready systems begin to scale. Curioni noted that Saudi Arabia is already “moving in the right direction” on infrastructure, ecosystem development and talent — the three essentials he identifies for deep research collaboration.

His perspective underscores a broader shift underway: the Kingdom is building not only advanced AI applications but a scientific ecosystem capable of sustaining long-term innovation. National programs now include talent development, regulatory frameworks, high-performance computing, and strategic partnerships with global research centers. Researchers argue that this integrated approach distinguishes nations that merely adopt technology from those that ultimately lead it.

Inside IBM’s hardware development lab, where researchers prototype and test experimental computing components. (AN Photo by Waad Hussain)

For individuals as much as institutions, the message from Zurich is clear. As Curioni put it, those who resist new tools risk being outpaced by those who embrace them. Generative AI already handles tasks — from literature reviews to data processing — that once required days of manual analysis. “If you don’t adopt new technologies, you will be overtaken by those who do adopt them,” he said, adding that the goal is to use these tools “to make yourself better,” not to fear them.

From geospatial AI to emerging quantum platforms, the work underway at IBM’s Zurich lab reflects technologies that will increasingly inform national planning and environmental resilience. 

For a country like Saudi Arabia — balancing rapid development with climate uncertainty — such scientific insight may prove essential. As researchers in Switzerland design the tools of tomorrow, the Kingdom is already exploring how these breakthroughs can translate into sustainability, resilience and strategic advantage at home.