PIF-owned Savvy Games expands Saudi Arabia’s gaming footprint

The Esports World Cup in Riyadh brought together 2,000 players from 200 clubs com- peting for a $70 million prize pool across 24 titles. (SPA)
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Updated 27 August 2025
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PIF-owned Savvy Games expands Saudi Arabia’s gaming footprint

  • Centerpiece was the Esports World Cup which brought together 2,000 players from 200 clubs competing for a $70 million prize pool across 24 titles

RIYADH: Savvy Games Group has underlined its commitment to Saudi Arabia’s gaming and esports ecosystem, noting strong growth in its 2024 annual report.

The Riyadh-based company, fully owned by the Public Investment Fund, said it had made major strides across three pillars — game development and publishing, esports, and ecosystem building in the Kingdom.




The Esports World Cup in Riyadh brought together 2,000 players from 200 clubs com- peting for a $70 million prize pool across 24 titles. (SPA)

The centerpiece was the Esports World Cup, held in Riyadh, which brought together 2,000 players from 200 clubs competing for a $70 million prize pool across 24 titles.

Under its “ecosystem building” pillar the company launched the Savvy Academy, which focuses on games and esports education, as well as seven new partnerships to build the domestic sector.

FASTFACT

Savvy Academy is introducing training programs to support the domestic games and esports ecosystem.

Through partnerships with Princess Nourah University and King Abdulaziz University, and international companies including AWS, Unity and Feed Me Light, the academy is introducing training programs to support the domestic games and esports ecosystem.




Brian Ward, Savvy Games Group CEO

“We are working with the Ministry of Education on programs to roll out across 32,000 primary and secondary schools in the Kingdom, to give young people (the chance) to work with game development tools,” Brian Ward, group CEO of Savvy Games Group, told Arab News.  

Their “Next-Gen” program gives Saudi students hands-on experience in game development.




The Esports World Cup in Riyadh brought together 2,000 players from 200 clubs com- peting for a $70 million prize pool across 24 titles. (SPA)

“It was so successful in terms of their enthusiasm, their immediate adoption to the technologies in terms of game design, concepting, taking the concept to ideation,” Ward said. “We think kids would love this. (They) were so amazing.” 

While strengthening the Kingdom’s domestic sector, Savvy also expanded its global publishing operations. The company acquired Scopely in 2023 for $4.9 billion, and since then the publisher has tripled in size.

We are working with the Ministry of Education on programs to roll out across 32,000 primary and secondary schools in the Kingdom, to give young people (the chance) to work with game development tools.

Brian Ward, Savvy Games Group CEO

“Scopely is now the second largest mobile games publisher in the world,” said Ward.  

In March this year, Scopely signed a $3.5 billion deal to acquire the video game division of Niantic Labs, including Pokemon Go.

Scopely’s “Monopoly Go” became the fastest game to reach $5 billion in revenue, and the company was named one of TIME’S 100 Most Influential Companies for a second consecutive year. 




Walter Driver, Co-founder and co-CEO of Scopely. (Supplied)

At a media roundtable in Riyadh on Monday, Scopely co-founder and co-CEO Walter Driver said: “We saw over 5 billion hours of play time last year and perhaps the most unique aspect of this experience was 50 percent of our players were active on any given day playing seven days a week.  

“Since we have started Scopely, we have had over 1 billion people download our products,” he added.

With SR142 billion ($38 billion) allocated by PIF to accelerate gaming sector growth, Savvy said it would continue investing globally while anchoring development in Saudi Arabia.

Its strategy is aligned with the National Gaming and Esports Strategy to position the Kingdom as a global leader in the industry by 2030.


Saudi researchers develop AI system for camel herders

Updated 14 November 2025
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Saudi researchers develop AI system for camel herders

  • AI-powered drone system can recognize and track camels from the air 
  • Prof. Basem Shihada and his team at KAUST developed the low-cost system

RIYADH: A research team at King Abdullah University of Science and Technology has created a low-cost, AI-powered drone system that can recognize and track camels from the air.

The system promises an affordable option for camel herders to continue one of Saudi Arabia’s oldest labors and for scientists to learn more about camel migration patterns and habits, according to a KAUST press release.

Created by Professor Basem Shihada and his labmates, the system uses inexpensive commercial drones and cameras to enable camel herders to track their camels in real time without relying on expensive GPS collars or satellite connections.

The team used a single drone-mounted camera to capture aerial footage of small camel herds in Saudi Arabia, then trained their AI model using machine learning. The model revealed new insights into the animals’ behaviors.

“We found their migration patterns were not random but showed identifiable patterns,” said KAUST scientist Chun Pong Lau, who was also involved in the project.

The release added that camels, especially elders, showed coordinated grazing migration, covering long distances throughout the day, but always returned to their herder by sunset. They also showed high sensitivity to the drone’s sound, which is why the KAUST scientists kept the drone at least 120 meters above the ground.

For centuries, camels have been central to Arabian life by providing transport, food and a cultural link to the desert. Today, they contribute more than SR2 billion ($534 million) annually to the Saudi economy through industries such as food, textiles and tourism.

However, herding remains a challenge, with camels roaming up to 50 km a day across isolated terrain. This mobility often leads to road accidents, overgrazing and loss of livestock.

As a next step, Shihada and his colleagues plan to collect video of larger camel herds of more heterogeneous sizes and colors to train their AI system for higher performance.