Press Release
Vast Edge, a Riyadh-based digital services and consulting leader, is making a profound impact on Saudi Arabia’s ambitious Vision 2030 by accelerating the Kingdom’s transition into a tech-driven, data-powered economy through its advanced offerings in digital transformation, artificial intelligence, and machine learning solutions. As the region intensifies its move to diversify away from oil, Vast Edge is positioning itself at the forefront, helping Saudi enterprises and government entities leverage cutting-edge technology for sustainable growth and global competitiveness.
Vast Edge’s mission aligns directly with Vision 2030’s pillars of fostering a vibrant society, thriving economy, and ambitious nation. By developing and implementing business process improvements, cloud ERP solutions, and sophisticated data analytics platforms, the company enables organizations to automate workflows, optimize logistics, and digitize operational models—addressing the national mandate for more efficient, service-oriented delivery of both private and public sector initiatives. Vast Edge empowers its clients to rise to Vision 2030’s challenge: to increase private sector GDP contribution and maximize non-oil revenue through secure, scalable technology adoption.
Pioneering AI and Machine Learning Innovation
Recognizing that artificial intelligence and machine learning are essential drivers of economic diversification, Vast Edge delivers tailored AI and ML services designed specifically for Saudi enterprises. These include custom model development for supply chain optimization, predictive analytics, and personalized business intelligence—all geared towards competitive advantage in a rapidly evolving digital landscape.
According to industry forecasts and Vast Edge’s CEO Mr. Fadi Faraj, the global AI software market will grow to over $250 billion by 2027, making Vast Edge’s expertise and solutions particularly pivotal as Saudi Arabia seeks to localize top-tier technical talent and build homegrown industry leadership in digital transformation.
Building Local Capacity and Global Partnerships
Vast Edge distinguishes itself by bridging international best practices with local market realities, employing certified professionals and collaborating with global technology platforms such as Oracle, Google Cloud, Azure, and AWS to deliver world-class multi-cloud and big data analytics solutions. This commitment not only facilitates seamless cloud migration and cybersecurity resilience for Saudi companies—it also supports knowledge transfer and workforce nationalization, key performance indicators for Vision 2030’s human capital aims. Integrating with the vision’s strategic economic themes, Vast Edge helps Saudi businesses reduce costs by up to 70% while optimizing IT infrastructure for future growth.
Empowering Industries Across Sectors
From healthcare analytics and smart city solutions to manufacturing automation and legal tech, Vast Edge’s digital strategies touch every sector prioritized within Vision 2030. The company offers specialized modules—such as remote field inspection, online inventory management, and integrated business web services—that increase operational transparency and enable data-driven decision-making, supporting both government digitalization and SME competitiveness.
Commitment to Sustainable Digital Excellence
Vast Edge’s impact is not limited to solution delivery; it actively catalyzes the creation of new investment opportunities and fosters a culture of continual innovation central to Vision 2030’s transformation agenda. With a clear focus on security, reliability, and optimization, Vast Edge is helping usher in an era where Saudi Arabia stands as a global hub for advanced digital industries, empowering ambitious enterprises to reach new heights in efficiency, accountability, and economic dynamism. Through its relentless pursuit of technological advancement, Vast Edge is proving itself a strategic partner for Saudi Arabia’s digital future—a future defined by boundless possibility, inclusive growth, and global leadership.
