Deployment Pathways for Advanced Air Mobility: Lessons from Early Implementation in Saudi Arabia

The report examines Saudi Arabia's early implementation of Advanced Air Mobility (AAM), highlighting strategic advantages such as giga-projects and low-density airspace. It details successful pilots in medical logistics, seismic surveying, and environmental monitoring, while arguing that scaling requires moving beyond fragmented efforts. The authors propose a neutral, community-led collaboration model to share anonymized operational data and templates, supported by six interdependent enablers including streamlined compliance and infrastructure readiness.

• Saudi Arabia possesses three primary structural advantages for AAM deployment: purpose-built giga-projects like NEOM and the Red Sea Project that allow for integrated infrastructure; vast low-density airspace suitable for beyond visual line of sight (BVLOS) operations; and a phased, use-case-driven regulatory approach led by the General Authority of Civil Aviation (GACA).
• Early AAM pilots in Saudi Arabia have demonstrated tangible public benefits across diverse sectors: medical drones reduced blood transport time during Hajj from 2.5–4 hours to two minutes; Saudi Aramco used UAV swarms for autonomous seismic acquisition in remote terrain; and FalconViz's Gharsa.AI platform monitors afforestation and reforestation efforts.
• The transition to system-wide AAM readiness depends on six interdependent operational enablers: resource optimization, streamlined compliance, cross-sector collaboration, infrastructure readiness, data and feedback loops, and repeatability and scalability.
• To overcome stakeholder fragmentation and isolated operational insights, the report proposes a neutral, community-led collaboration model. This platform would allow OEMs, operators, contractors, and service providers to share non-sensitive, anonymized data and generic operational templates without eroding competitive advantage.
• The report suggests adapting the Saudi Data and Artificial Intelligence Authority’s (SDAIA) AI registry model for AAM to maintain a centralized, trusted record of approved mission profiles, checklists, and operational templates.
• Successful AAM scaling is predicted to generate up to $38 billion in economic opportunities for Saudi Arabia by 2040, covering operations, manufacturing, air traffic management, and infrastructure.

APA

World Economic Forum (2025). Deployment Pathways for Advanced Air Mobility: Lessons from Early Implementation in Saudi Arabia. https://reports.weforum.org/docs/WEF_Deployment_Pathways_Advanced_Air_Mobility_2025.pdf

Chicago

World Economic Forum. Deployment Pathways for Advanced Air Mobility: Lessons from Early Implementation in Saudi Arabia. 2025. https://reports.weforum.org/docs/WEF_Deployment_Pathways_Advanced_Air_Mobility_2025.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Deployment Pathways for Advanced Air Mobility: Lessons from Early Implementation in Saudi Arabia |date=October 2025 |url=https://reports.weforum.org/docs/WEF_Deployment_Pathways_Advanced_Air_Mobility_2025.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2025deployment, author = {{World Economic Forum}}, title = {{Deployment Pathways for Advanced Air Mobility: Lessons from Early Implementation in Saudi Arabia}}, institution = {World Economic Forum}, year = {2025}, month = oct, url = {https://reports.weforum.org/docs/WEF_Deployment_Pathways_Advanced_Air_Mobility_2025.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }