By Vehicle Type, By Autonomy Level, By Application, By Deployment Model, and By Region
The report titled “KSA Autonomous Vehicle Market Outlook to 2032 – By Vehicle Type, By Autonomy Level, By Application, By Deployment Model, and By Region” provides a comprehensive analysis of the autonomous vehicle (AV) ecosystem in the Kingdom of Saudi Arabia. The report covers an overview and genesis of the market, overall market size in terms of value, detailed market segmentation; technology trends and developments, regulatory and policy landscape, buyer-level demand profiling, key issues and challenges, and the competitive landscape including pilot programs, partnerships, opportunities and bottlenecks, and profiling of key stakeholders active in the KSA autonomous mobility space. The report concludes with future market projections based on smart city development under Vision 2030, transport digitization, logistics automation, regulatory readiness, infrastructure investments, and case-based illustrations highlighting the major opportunities and cautions shaping the market through 2032.
The KSA autonomous vehicle market is valued at approximately ~USD ~ billion, representing the deployment and commercialization of vehicles equipped with advanced driver-assistance and self-driving technologies, including sensors, perception systems, AI-based decision software, high-definition mapping, connectivity platforms, and integrated vehicle control systems. The market spans autonomous passenger vehicles, robo-taxis, autonomous buses, last-mile delivery vehicles, logistics and port automation vehicles, and specialized autonomous systems used in industrial and controlled environments.
The market is anchored by Saudi Arabia’s strategic push toward smart mobility as part of Vision 2030, large-scale investments in digital infrastructure, and the development of greenfield urban projects designed to integrate autonomous transport from inception. Government-led pilots, regulatory sandboxes, and partnerships with global technology providers are accelerating early adoption, particularly in controlled routes, campuses, logistics hubs, and purpose-built urban zones. Autonomous mobility is also increasingly positioned as a solution to road safety improvement, operational efficiency, and workforce optimization across public transport and logistics sectors.
Riyadh represents the primary demand center for autonomous vehicle deployment in Saudi Arabia, driven by its role as the political and economic capital, concentration of smart mobility pilots, and investments in intelligent transport systems. The Western region, led by Jeddah and the Red Sea corridor, shows growing adoption potential in logistics, port automation, and tourism-oriented transport use cases. The Eastern Province benefits from industrial and energy-related applications, including autonomous vehicles for industrial campuses and controlled industrial zones. Emerging mega-projects and new urban developments act as future demand anchors, as their master plans increasingly incorporate autonomous and connected mobility as a core design element rather than a retrofit solution.
Vision 2030 and smart city development create a policy-led foundation for autonomous mobility adoption: Saudi Arabia’s Vision 2030 agenda emphasizes digital transformation, sustainability, and advanced mobility solutions as enablers of economic diversification and quality-of-life improvement. Smart city programs and new urban developments are designed with connected infrastructure, centralized traffic management, and digital governance frameworks that are inherently compatible with autonomous vehicle deployment. Unlike legacy urban environments, these projects allow autonomous transport systems to be embedded at the planning stage, reducing integration complexity and accelerating real-world deployment. This top-down policy alignment significantly lowers adoption barriers and provides long-term visibility for AV investments.
Automation of logistics, ports, and last-mile delivery strengthens commercial use cases: Saudi Arabia’s logistics and trade ambitions, supported by large port expansions, free zones, and e-commerce growth, are driving interest in autonomous vehicles for freight movement, yard management, and last-mile delivery. Autonomous trucks, delivery pods, and yard vehicles offer clear value in controlled and semi-controlled environments where routes are predictable and operational efficiency is critical. These applications typically achieve faster payback periods compared to consumer AVs, making them a focal point for early commercialization. As logistics operators seek to reduce operating costs, improve safety, and ensure 24/7 operations, autonomous mobility solutions become increasingly attractive.
Government-led pilots and regulatory experimentation reduce market uncertainty: The KSA government has adopted a pilot-first approach to autonomous vehicles, enabling controlled testing through designated routes, campuses, and zones. Regulatory sandboxes allow technology providers and mobility operators to validate safety, performance, and integration requirements before large-scale rollout. This approach reduces regulatory ambiguity, builds institutional confidence, and creates a structured pathway from pilot to commercialization. For technology suppliers and mobility operators, such clarity around testing, compliance, and scaling significantly improves the investment case and accelerates ecosystem formation.
Regulatory maturity gaps and phased approval frameworks limit large-scale commercial deployment: While Saudi Arabia has made strong progress through pilot programs and regulatory sandboxes, the autonomous vehicle regulatory framework is still evolving toward full commercial readiness. Current approvals are often route-specific, use-case-specific, or time-bound, which constrains scalability beyond pilot or semi-controlled environments. The absence of fully standardized liability, insurance, and accident attribution frameworks for higher levels of autonomy (Level 4 and above) creates uncertainty for fleet operators and investors. As a result, many deployments remain limited to demonstrations, controlled campuses, or government-backed projects rather than open, city-wide commercial operations.
High technology costs and unclear near-term ROI slow private-sector adoption: Autonomous vehicles require significant upfront investment in sensors, compute hardware, software integration, high-definition mapping, connectivity, and ongoing system validation. For private fleet operators and mobility providers, the economics of autonomous deployment remain challenging, particularly in passenger transport use cases where utilization rates and pricing models are still unproven. While logistics and industrial applications show clearer cost-saving potential, broader adoption is slowed by uncertainty around total cost of ownership, maintenance of advanced systems, and the pace at which autonomy can replace or augment human-driven operations at scale.
Infrastructure readiness and digital integration constraints affect operational reliability: Autonomous vehicles depend heavily on high-quality road infrastructure, lane markings, signage, connectivity, and real-time data integration with traffic management systems. Variability in infrastructure quality across regions, combined with gaps in vehicle-to-infrastructure (V2I) integration, can affect system reliability and safety performance. In mixed-traffic environments where human-driven vehicles dominate, unpredictable driving behavior further increases complexity for autonomous systems. These factors limit deployment primarily to newer urban zones, dedicated corridors, or controlled environments, slowing nationwide rollout.
Government-led autonomous vehicle pilots and regulatory sandboxes enabling controlled deployment: Saudi Arabia has adopted a phased, pilot-driven regulatory approach to autonomous vehicles, allowing testing and limited commercial operations under defined conditions. Designated zones, approved routes, and supervised operations enable regulators to evaluate safety, performance, and integration before scaling permissions. These initiatives reduce technology risk, support knowledge transfer to regulators, and create a structured pathway from pilot to broader deployment. However, they also mean that market expansion remains closely tied to government approvals and program timelines.
Smart mobility and transport digitization initiatives under Vision 2030: Autonomous vehicles are supported by broader national initiatives focused on intelligent transport systems, smart cities, and digital infrastructure. Investments in traffic management platforms, connected infrastructure, cloud-based mobility services, and data integration frameworks indirectly enable AV deployment by improving situational awareness and system interoperability. These initiatives position autonomous mobility as part of a larger urban digitization strategy rather than a standalone technology, strengthening long-term adoption potential.
Data governance, cybersecurity, and localization requirements shaping system design: Regulations related to data security, cloud usage, and localization influence how autonomous vehicle data is processed, stored, and transmitted. AV systems generate large volumes of sensitive data, including video, location, and behavioral information, which must comply with national cybersecurity and data protection standards. These requirements affect architecture choices, partnerships with cloud providers, and operating costs, particularly for global AV developers adapting their platforms to local compliance expectations.
By Vehicle Type: Autonomous passenger vehicles and shuttles currently dominate early deployments. This is because passenger-focused autonomous mobility solutions—such as robo-taxis, autonomous shuttles, and first/last-mile people movers—are strongly aligned with Saudi Arabia’s smart city vision and public-sector-led mobility pilots. These vehicles are typically deployed on fixed or semi-controlled routes, campuses, and purpose-built urban districts where infrastructure quality, connectivity, and regulatory oversight can be tightly managed. While autonomous commercial and logistics vehicles are gaining traction, passenger-focused deployments continue to lead in visibility, policy support, and pilot scale.
Autonomous Passenger Cars & Robo-Taxis ~35 %
Autonomous Shuttles & Buses ~25 %
Autonomous Delivery Vehicles (Last-Mile) ~20 %
Autonomous Trucks & Logistics Vehicles ~15 %
Specialized / Industrial Autonomous Vehicles ~5 %
By Autonomy Level: Level 4 autonomy dominates current market activity. The KSA autonomous vehicle market is primarily concentrated around Level 4 autonomy, where vehicles operate without human intervention within defined geofenced environments and operating conditions. This level offers a practical balance between technical feasibility, regulatory comfort, and commercial viability. Lower autonomy levels (Level 2 and Level 3) remain present in premium passenger vehicles but are not considered fully autonomous from a deployment standpoint. Level 5 autonomy remains a long-term objective rather than a near-term commercial reality.
Level 2–3 (Advanced Driver Assistance / Conditional Automation) ~30 %
Level 4 (High Automation, Geofenced) ~60 %
Level 5 (Full Automation, Unrestricted) ~10 %
The KSA autonomous vehicle market exhibits low to moderate concentration, characterized by the presence of global autonomous technology developers, vehicle OEMs, mobility platform providers, and system integrators operating through partnerships with government entities and mega-projects. Market leadership is driven by technology maturity, safety validation track record, ability to localize systems, regulatory alignment, and experience in large-scale pilot execution. Rather than pure competition, the market is currently collaboration-heavy, with ecosystem players co-developing solutions under government-led frameworks.
Name | Founding Year | Original Headquarters |
Cruise | 2013 | San Francisco, California, USA |
Waymo | 2009 | Mountain View, California, USA |
Baidu Apollo | 2017 | Beijing, China |
Mobileye | 1999 | Jerusalem, Israel |
Zoox | 2014 | Foster City, California, USA |
WeRide | 2017 | Guangzhou, China |
Navya | 2014 | Lyon, France |
EasyMile | 2014 | Toulouse, France |
Some of the Recent Competitor Trends and Key Information About Competitors Include:
Waymo: Waymo continues to be viewed as a benchmark for Level 4 autonomous passenger mobility, with extensive real-world testing and operational experience. Its relevance to the Saudi market lies in its system maturity, safety-first architecture, and ability to operate robo-taxi services within geofenced urban environments aligned with smart city use cases.
Cruise: Cruise remains strongly positioned in dense urban autonomous mobility applications, emphasizing integration with city infrastructure and fleet-scale deployment. The company’s experience in navigating regulatory engagement and public-sector partnerships strengthens its suitability for government-led pilot programs in Saudi Arabia.
Mobileye: Mobileye plays a critical role as a technology enabler rather than a direct fleet operator. Its strength lies in vision-based autonomy, scalable ADAS-to-AV pathways, and strong OEM relationships. In the KSA context, Mobileye’s technology is particularly relevant for mixed-traffic environments and gradual autonomy adoption models.
Baidu Apollo: Baidu Apollo has emerged as a prominent autonomous mobility platform with strong capabilities in software, mapping, and AI-driven decision systems. Its experience in large-scale pilots and smart city integration positions it well for collaboration-driven deployments in Saudi Arabia’s planned urban developments.
Navya and EasyMile: These companies specialize in low-speed autonomous shuttles designed for campuses, business parks, airports, and controlled urban zones. Their vehicles are well suited to early-stage deployments where safety, predictability, and public acceptance are prioritized over high-speed autonomy.
The KSA autonomous vehicle market is expected to expand steadily through 2032, supported by Vision 2030–driven smart mobility initiatives, large-scale urban development projects, and sustained government investment in digital transport infrastructure. Growth momentum is reinforced by the Kingdom’s focus on intelligent transport systems, road safety improvement, logistics efficiency, and sustainability objectives. As regulatory frameworks mature and pilot programs transition toward structured commercialization, autonomous vehicles are expected to move from demonstration-led deployments toward scaled, application-specific operations across urban mobility, logistics, and industrial environments.
Transition from Pilot Projects to Structured Commercial Deployments: The near-term evolution of the KSA autonomous vehicle market will be characterized by a gradual shift from isolated pilot programs to repeatable, semi-commercial deployments. Early projects have focused on proof-of-concept validation, safety testing, and public acceptance. Through 2032, emphasis will move toward defining standardized operating models, service-level expectations, and performance benchmarks that allow autonomous mobility solutions to be procured, operated, and scaled more systematically. This transition will be most visible in public transport shuttles, controlled urban districts, and logistics hubs where operating conditions are predictable and regulatory oversight is well established.
Expansion of Autonomous Mobility in Smart Cities and Giga-Projects: Saudi Arabia’s new urban developments and giga-projects represent structurally advantaged demand centers for autonomous vehicles. These developments are planned with connected infrastructure, centralized traffic management, and digital governance platforms that reduce integration complexity for autonomous systems. As these projects progress from planning to execution phases, autonomous shuttles, robo-taxis, and service vehicles are expected to be embedded as core mobility layers rather than optional pilots. This design-led integration will create sustained demand for autonomous solutions aligned with long-term urban mobility strategies.
Growing Role of Autonomous Vehicles in Logistics, Ports, and Industrial Operations: Commercial viability through 2032 will increasingly be driven by logistics and industrial applications, including autonomous yard trucks, port vehicles, delivery robots, and last-mile delivery systems. These use cases benefit from controlled environments, high asset utilization, and clear cost-reduction pathways related to labor optimization, safety, and operational efficiency. As Saudi Arabia strengthens its position as a regional logistics hub, autonomous vehicle deployment within ports, free zones, and industrial corridors will become a key growth pillar, often delivering faster returns than consumer-facing mobility services.
Regulatory Formalization and Risk Allocation Frameworks Supporting Market Confidence: Over the forecast period, regulatory focus is expected to shift toward formalizing liability, insurance, data governance, and operational accountability frameworks for autonomous vehicles. Clearer guidance on accident responsibility, system certification, and operator obligations will reduce uncertainty for fleet operators and investors. As regulations move from experimental to standardized, the market will see increased participation from private operators and international technology providers willing to commit long-term capital and localization efforts.
By Vehicle Type
• Autonomous Passenger Cars & Robo-Taxis
• Autonomous Shuttles & Buses
• Autonomous Delivery Vehicles (Last-Mile)
• Autonomous Trucks & Logistics Vehicles
• Specialized & Industrial Autonomous Vehicles
By Autonomy Level
• Level 2–3 (Advanced Driver Assistance / Conditional Automation)
• Level 4 (High Automation, Geofenced Operations)
• Level 5 (Full Automation, Unrestricted Operations)
By Application
• Urban Mobility & Public Transport
• Logistics & Freight Operations
• Last-Mile Delivery & E-commerce
• Industrial, Campus, and Controlled-Area Mobility
By Deployment Model
• Government-Led Pilot Programs
• Public–Private Partnership (PPP) Deployments
• Private Fleet / Enterprise Deployments
• Fully Commercial Open-Market Operations
By Region
• Riyadh Region
• Western Region (Jeddah and Red Sea Corridor)
• Eastern Province
• Emerging Smart Cities and New Urban Developments
• Waymo
• Cruise
• Mobileye
• Baidu Apollo
• WeRide
• Navya
• EasyMile
• Regional system integrators, mobility operators, and smart city technology partners
• Autonomous vehicle technology developers and OEMs
• Mobility-as-a-Service (MaaS) operators and fleet owners
• Smart city developers and giga-project authorities
• Logistics companies and port operators
• Government transport authorities and regulators
• Systems integrators and digital infrastructure providers
• Venture capital, private equity, and strategic investors
• Urban planners, transport consultants, and engineering firms
Historical Period: 2019–2024
Base Year: 2025
Forecast Period: 2025–2032
4.1 Delivery Model Analysis for Autonomous Vehicle Market including government-led pilot deployments, public-private partnership models, fleet-based enterprise deployments, mobility-as-a-service platforms, and controlled-zone operations with margins, preferences, strengths, and weaknesses
4.2 Revenue Streams for Autonomous Vehicle Market including vehicle and system sales, software and AI licensing, fleet operations revenues, mobility service fees, data and analytics services, and maintenance and support revenues
4.3 Business Model Canvas for Autonomous Vehicle Market covering vehicle OEMs, autonomous technology providers, software and AI platform developers, system integrators, mobility operators, regulators, and infrastructure partners
5.1 Global Autonomous Technology Providers vs Regional and Local Players including Waymo, Cruise, Mobileye, Baidu Apollo, WeRide, Navya, EasyMile, and other international or regional solution providers
5.2 Investment Model in Autonomous Vehicle Market including R&D investments, pilot and testing investments, fleet deployment capex, infrastructure and connectivity investments, and localization initiatives
5.3 Comparative Analysis of Autonomous Vehicle Deployment by Government-Led Programs and Private or Enterprise-Led Deployments including smart city pilots, logistics hubs, and campus-based operations
5.4 Mobility Budget Allocation comparing autonomous mobility services versus conventional public transport, private vehicle ownership, ride-hailing, and logistics operating costs with average spend per user or per fleet per month
8.1 Revenues from historical to present period
8.2 Growth Analysis by vehicle type, application, and autonomy level
8.3 Key Market Developments and Milestones including pilot launches, regulatory updates, strategic partnerships, and major autonomous mobility deployments
9.1 By Market Structure including global technology providers, regional players, and local integrators
9.2 By Vehicle Type including passenger vehicles, shuttles and buses, delivery vehicles, trucks, and industrial autonomous vehicles
9.3 By Autonomy Level including Level 2-3, Level 4, and Level 5
9.4 By Application including urban mobility, public transport, logistics and freight, last-mile delivery, and industrial or campus mobility
9.5 By User Segment including government entities, enterprise fleets, logistics operators, and mobility service providers
9.6 By Deployment Model including pilot-based, PPP-based, enterprise-led, and fully commercial deployments
9.7 By Technology Stack including sensors, perception systems, AI software, connectivity, and control systems
9.8 By Region including Central, Western, Eastern, Northern, and Southern regions of KSA
10.1 Buyer Landscape and Use-Case Analysis highlighting government-led demand and enterprise adoption clusters
10.2 Autonomous Vehicle Selection and Purchase Decision Making influenced by safety validation, regulatory compliance, cost economics, and operational reliability
10.3 Utilization and ROI Analysis measuring fleet utilization, operating cost savings, and service performance metrics
10.4 Gap Analysis Framework addressing regulatory gaps, infrastructure readiness, cost barriers, and ecosystem maturity
11.1 Trends and Developments including Level 4 deployments, smart city integration, logistics automation, and AI-driven mobility systems
11.2 Growth Drivers including Vision 2030 initiatives, smart city development, logistics modernization, and safety improvement goals
11.3 SWOT Analysis comparing global technology leadership versus local integration capability and regulatory alignment
11.4 Issues and Challenges including regulatory uncertainty, high technology costs, infrastructure variability, and talent constraints
11.5 Government Regulations covering autonomous vehicle testing guidelines, safety standards, data governance, and transport policy in KSA
12.1 Market Size and Future Potential of autonomous delivery vehicles and logistics automation
12.2 Business Models including fleet-owned, platform-based, and enterprise-operated autonomous logistics solutions
12.3 Delivery Models and Type of Solutions including yard automation, last-mile delivery robots, and autonomous freight vehicles
15.1 Market Share of Key Players by deployments and by revenue contribution
15.2 Benchmark of 15 Key Competitors including global autonomous technology firms, vehicle OEMs, software platform providers, and regional integrators
15.3 Operating Model Analysis Framework comparing technology-led platforms, fleet-operator models, and government-partnered deployments
15.4 Gartner Magic Quadrant positioning global leaders and emerging challengers in autonomous vehicle technologies
15.5 Bowman’s Strategic Clock analyzing competitive advantage through differentiation via technology maturity versus cost-led deployment strategies
16.1 Revenues with projections
17.1 By Market Structure including global providers, regional players, and local integrators
17.2 By Vehicle Type including passenger vehicles, shuttles, delivery vehicles, and trucks
17.3 By Autonomy Level including Level 2-3, Level 4, and Level 5
17.4 By Application including urban mobility, logistics, public transport, and industrial mobility
17.5 By User Segment including government, enterprises, and mobility operators
17.6 By Deployment Model including pilot, PPP, and commercial deployments
17.7 By Technology Stack including hardware, software, and connectivity layers
17.8 By Region including Central, Western, Eastern, Northern, and Southern KSA
We begin by mapping the complete ecosystem of the KSA Autonomous Vehicle Market across demand-side and supply-side entities. On the demand side, entities include government transport authorities, smart city and giga-project developers, public transport operators, logistics and port operators, industrial zone developers, corporate fleet owners, and mobility-as-a-service (MaaS) providers. Demand is further segmented by application (urban mobility, public transport, logistics, last-mile delivery, industrial/campus mobility), operating environment (open roads vs controlled or geofenced zones), and deployment model (pilot-led, PPP-based, or enterprise-led). On the supply side, the ecosystem includes autonomous vehicle technology developers, vehicle OEMs, sensor and perception system suppliers, AI and software platform providers, HD mapping and localization specialists, connectivity and cloud service providers, systems integrators, fleet operators, and regulatory and certification bodies. From this mapped ecosystem, we shortlist 6–10 leading autonomous vehicle technology and solution providers based on deployment experience, technology maturity, safety validation track record, ability to localize systems, and relevance to Saudi Arabia’s smart mobility agenda. This step establishes how value is created and captured across vehicle platforms, software intelligence, integration, deployment, and ongoing operations.
An exhaustive desk research process is undertaken to analyze the structure and evolution of the KSA autonomous vehicle market. This includes reviewing national mobility strategies, Vision 2030 objectives, smart city programs, giga-project master plans, transport digitization initiatives, and logistics sector modernization efforts. We assess demand drivers related to safety improvement, efficiency gains, sustainability goals, and workforce optimization. Technology-level analysis includes review of autonomy architectures, sensor stacks, connectivity requirements, and deployment constraints under Saudi operating conditions. We also examine regulatory developments, pilot program announcements, and policy signals influencing adoption timelines. The outcome of this stage is a comprehensive industry foundation that defines segmentation logic and establishes baseline assumptions for market sizing, adoption pathways, and future outlook modeling.
We conduct structured interviews with autonomous vehicle technology providers, system integrators, mobility operators, logistics companies, smart city planners, and public-sector stakeholders involved in transport and infrastructure development. The objectives are threefold: (a) validate assumptions around demand concentration, priority use cases, and deployment sequencing, (b) authenticate segmentation splits by vehicle type, application, autonomy level, and deployment model, and (c) gather qualitative insights on cost structures, operational challenges, regulatory friction points, infrastructure readiness, and buyer expectations around safety and performance. A bottom-to-top approach is applied by estimating fleet sizes, deployment density, and average system value across key applications and regions, which are aggregated to develop the overall market view. In selected cases, pilot-level and operator-style discussions are used to validate real-world deployment constraints such as geofencing limitations, system downtime, supervision requirements, and public acceptance considerations.
The final stage integrates bottom-to-top and top-to-down approaches to cross-validate market size estimates, segmentation splits, and forecast assumptions. Demand estimates are reconciled with macro indicators such as urban development pipelines, public transport investment plans, logistics throughput growth, and digital infrastructure spending. Assumptions related to regulatory progression, infrastructure readiness, and technology cost curves are stress-tested to assess their impact on adoption speed and commercial viability. Sensitivity analysis is conducted across key variables including pace of regulatory formalization, expansion of smart city zones, logistics automation intensity, and localization of technology capabilities. Market models are refined until alignment is achieved between projected deployments, supplier capacity, and policy-driven demand visibility, ensuring internal consistency and robust directional forecasting through 2032.
The KSA Autonomous Vehicle Market holds strong long-term potential, supported by Vision 2030 priorities, large-scale smart city developments, and sustained investment in digital transport infrastructure. While near-term deployments remain concentrated in pilots and controlled environments, the medium- to long-term outlook points toward structured commercialization across public transport, logistics, and industrial applications. As regulatory clarity improves and infrastructure readiness expands, autonomous mobility is expected to become an integral component of Saudi Arabia’s future transport ecosystem through 2032.
The market is characterized by global autonomous technology developers, vehicle OEMs, and software platform providers operating in partnership with government entities, smart city developers, and system integrators. Competition is shaped less by price and more by technology maturity, safety validation, regulatory alignment, and ability to execute large-scale pilots. Local partners play a critical role in integration, operations, and compliance, making collaboration a defining feature of the competitive landscape.
Key growth drivers include government-led smart mobility initiatives, the development of new urban zones designed for connected and autonomous transport, logistics sector automation, and the need to improve road safety and operational efficiency. Additional momentum comes from investment in intelligent transport systems, data platforms, and connectivity infrastructure that enable autonomous operations. Public-sector demand and policy alignment remain central to early-stage growth.
Challenges include evolving regulatory frameworks, high upfront technology costs, infrastructure variability, and limitations related to operating autonomous vehicles in mixed-traffic environments. Uncertainty around liability, insurance, and long-term commercial models can slow private-sector participation. Talent availability and reliance on imported technology also pose constraints, particularly for localization and ecosystem depth in the near term.