Connected Autonomy for Fleets Market

USD 25.8 billion to USD 129.4 billion by 2036 at a 17.5% CAGR.

• The Connected Autonomy for Fleets Market was approximately USD 22.0 billion in 2025.
• Demand is projected to increase from USD 25.8 billion in 2026 to USD 129.4 billion by 2036.
• The market is forecast to expand at a 17.5% CAGR from 2026 to 2036.

What are the defining numbers behind Connected Autonomy for Fleets Market growth?

An absolute opportunity of USD 103.6 billion is expected between 2026 and 2036.

• Demand Drivers in the Market
  • Vehicle-to-everything deployment is moving connected-road infrastructure from demonstration work toward interoperable networks. The U.S. Department of Transportation released a national V2X deployment plan in August 2024 and awarded nearly USD 60 million to projects in Arizona, Texas and Utah. Fleets that use road-signal, hazard and vehicle-status data require communication modules plus onboard gateways and fleet software that can turn those messages into operating decisions.
  • Commercial driverless freight is creating a procurement case beyond testing programs. Aurora began regular driverless customer deliveries between Dallas and Houston in May 2025. Once an autonomous truck carries paid freight, the operator evaluates uptime and dispatch integration against the cost of conventional operations. This moves spending toward complete autonomy systems that can remain available across repeat corridors.
  • Defined operating-area regulation is giving Level 4 fleet projects a workable legal boundary. Germany permits autonomous vehicles to operate in approved defined operating areas when technical requirements and authorization conditions are met. This structure suits ports, depot routes and repeat freight corridors because buyers can match the autonomy stack to a known operating domain before expanding coverage.
  • Vehicle approval is becoming more demanding as automated driving systems take on the driving task. UNECE work in 2026 included a new regulation and global technical regulation for automated driving systems, alongside continued work on cybersecurity and software updates. Fleet operators therefore need systems with traceable software behavior and controlled updates, increasing demand for integrated engineering support.
  • Public programs are creating a route from pilots to Level 4 service commercialization. Japan selected 13 regions in March 2026 for a program intended to support Level 4 autonomous driving commercialization around fiscal 2027. Regional deployments can translate into purchases of autonomous vehicles plus remote-operation systems when the service model is designed for continued operation rather than a short demonstration.
• Key Segments Analyzed
  • Connected Fleet Autonomy Solutions account for 65.9% of Product in 2026 because fleet buyers need the driving stack to work with dispatch, remote supervision and vehicle data as one operating system.
  • Vehicle-to-Vehicle Connectivity represents 52.1% of Connectivity Type in 2026, supported by direct exchange of vehicle state and hazard information across nearby fleet assets.
  • Hardware holds 45.2% of Component in 2026 because every autonomous fleet vehicle requires sensing systems and onboard computing before software can act on the environment.
  • Commercial Fleets account for 66.2% of Fleet Type in 2026 as centralized dispatch and repeat duty cycles give operators a measurable basis for evaluating utilization and autonomy cost.
  • Logistics and Transportation represents 45.2% of End Use Industry in 2026 because freight routes and distribution operations combine repeatable vehicle movements with continuous pressure to improve asset use.
• Analyst Opinion at Fact.MR
  • Shambhu Nath Jha, Principal Consultant at Fact.MR, states, “Connected autonomy is moving toward operating-domain economics. Fleet buyers assess whether the system can keep vehicles productive across a defined route with reliable communications and remote support. Suppliers that connect onboard autonomy with fleet orchestration and dependable service support are better placed as demand rises from USD 25.8 billion in 2026 to USD 129.4 billion by 2036.”
• Strategic Implications
  • Autonomy suppliers should position systems around a defined operating domain and duty cycle. Route limits and fail-safe behavior should be clear before a fleet commits vehicles to service.
  • Fleet software providers should connect autonomous-driving event data with dispatch and maintenance workflows. Operators need one operational view when a vehicle changes route state or enters remote support.
  • Hardware suppliers should design sensing and compute modules around serviceability and redundancy. A failed component has a direct utilization cost when a fleet vehicle cannot complete its assigned run.
  • Fleet operators can stage deployments on repeat corridors or controlled sites where route behavior and connectivity can be validated before geographic expansion. This reduces integration risk and gives purchasing teams an operational baseline for the next deployment phase.

The market is segmented by Product, Connectivity Type, Component, Fleet Type and End Use Industry.

Why do Connected Fleet Autonomy Solutions lead Product?

Connected Fleet Autonomy Solutions are projected to account for a 65.9% share in 2026.

The segment leads because a fleet vehicle must operate inside a wider control system. The driving software needs route assignments and remote support from the fleet platform. This requirement is related to the wider evolution of connected cars, where communication between the vehicle and external systems has become part of the vehicle architecture.

An integrated fleet autonomy solution reduces handoffs between the autonomy provider and the operator’s dispatch environment. Buyers can evaluate one system against route completion and vehicle availability instead of reconciling several disconnected tools.

Why does Vehicle-to-Vehicle Connectivity lead Connectivity Type?

Vehicle-to-Vehicle Connectivity is projected to account for a 52.1% share in 2026.

Direct vehicle communication gives nearby fleet assets a low-latency channel for sharing movement state and hazard information. It can support coordinated behavior without sending every message through a distant cloud service. The supporting vehicle hardware overlaps with on-board units used to exchange data with vehicles and roadside networks.

The operating value increases when several vehicles use the same corridor or depot. Fleet operators can combine V2V data with centralized supervision so that a local event becomes visible to nearby vehicles and the fleet-control layer.

Why does Hardware lead Component?

Hardware is projected to account for a 45.2% share in 2026.

Hardware leads because autonomous operation requires a physical sensing and computing layer on every vehicle. Cameras and radar feed onboard compute, while communication devices connect the vehicle with fleet systems. This creates a direct link with automotive telematics as fleets combine positioning and diagnostics with the autonomy stack.

Nvidia’s 2026 DRIVE Hyperion updates illustrate how autonomy platforms are being packaged around pre-validated compute and sensor architectures. For fleet buyers, standardized hardware can shorten vehicle integration and simplify service procedures across vehicles using the same platform.

Why do Commercial Fleets lead Fleet Type?

Commercial Fleets are projected to account for a 66.2% share in 2026.

Commercial fleets lead because vehicles are scheduled and supervised as operating assets. Central dispatch gives the operator a clear way to measure route completion and downtime. Existing fleet management workflows also provide a natural control layer for integrating autonomy status with assignments and maintenance.

Repeat routes strengthen the business case. A fleet can qualify an autonomy system for a defined corridor, compare operating performance against conventional vehicles and then decide whether to extend the system to more vehicles or locations.

Why does Logistics and Transportation lead End Use Industry?

Logistics and Transportation is projected to account for a 45.2% share in 2026.

Logistics and Transportation leads because freight operations combine high vehicle utilization with repeat movement between terminals and distribution locations. The same operating logic is visible in automated trucks, where autonomous systems are designed around specific freight corridors and operating domains.

Aurora began regular driverless customer deliveries between Dallas and Houston in 2025, while autonomous freight programs increasingly connect vehicles with dispatch and remote operations. For logistics buyers, the purchase decision depends on whether autonomy can fit the existing freight network without adding unacceptable downtime or route uncertainty.

Commercial driverless freight, V2X deployment and defined Level 4 operating frameworks are accelerating procurement, while integration cost and operating approvals continue to constrain deployment.

Drivers Impact Analysis

Opportunity Impact Analysis

Restraints Impact Analysis

• Germany: The legal framework permits autonomous vehicles to operate in approved defined operating areas when the vehicle and operating conditions meet statutory requirements. This gives fleet operators a defined route to commercial deployment for repeat corridors and service zones.
• Brazil: An autonomous vehicle entered operation at Portocel in Aracruz in January 2025 on a homologated internal port route. Controlled logistics sites reduce open-road variability and create a practical use case for connected autonomous fleet systems in freight handling.
• USA: Federal V2X grants and commercial driverless freight activity are developing in parallel. Communication infrastructure can improve vehicle awareness, while paid freight operations create demand for autonomy systems that integrate with dispatch and remote operations.
• U.K.: The Automated Vehicles Act 2024 established the legal framework for automated vehicles, and the implementation program is preparing for full implementation in 2027. Safe trials and passenger-service permitting work give fleet projects a clearer path from testing toward operation.
• Japan: Government work in 2026 includes communication-reliability guidance for Level 4 autonomous mobility services. Treating connectivity as part of operational readiness supports fleet purchases that combine autonomous driving with dependable remote communication.

Country CAGR (2026-2036)

What is driving Germany’s growth through 2036?

Germany is forecast to expand at a 19.2% CAGR from 2026 to 2036.

Section 1e of Germany’s Road Traffic Act allows an autonomous vehicle to perform the driving task inside an approved defined operating area without continuous intervention by a driver. This operating-domain approach gives commercial fleets a legal structure for deploying autonomy on specific routes where responsibilities and limits can be documented.

Germany’s autonomous-vehicle ordinance also addresses secure communication with external systems and technical supervision. These requirements increase demand for vehicle gateways and remote-operation interfaces alongside the autonomous driving stack.

What is driving Brazil’s growth through 2036?

Brazil is forecast to expand at a 17.5% CAGR from 2026 to 2036.

Port and industrial logistics provide a practical entry point because vehicle movements occur inside known operating boundaries. The Portocel project in Aracruz placed an autonomous vehicle into operation on an internal route in January 2025, showing how fleet autonomy can be introduced where road geometry and operating rules are controlled.

For buyers in port and industrial settings, connected autonomy can be evaluated against repeat trips and loading schedules before public-road expansion. This favors systems that combine autonomy with fleet supervision and reliable communications.

What is driving USA’s growth through 2036?

The USA is forecast to expand at a 15.8% CAGR from 2026 to 2036.

Commercial autonomous freight has moved into regular customer service on selected routes. Aurora began driverless deliveries between Dallas and Houston in May 2025 for freight customers, creating an operating reference for fleets evaluating autonomous line-haul service rather than a test-only program.

The market is also supported by federal V2X deployment work. USDOT’s national plan and grants to Arizona, Texas and Utah support interoperable connected-vehicle infrastructure, which can expand the data available to fleets operating connected autonomous vehicles.

What is driving U.K.’s growth through 2036?

The U.K. is forecast to expand at a 14.2% CAGR from 2026 to 2036.

The Automated Vehicles Act implementation program is building the operational and legislative mechanisms required for the 2024 Act to be implemented in 2027. Work includes safe trialling and a permitting route for automated passenger services, giving mobility operators clearer requirements for moving from prototype vehicles toward service deployment.

For fleet buyers, the value of this framework is predictability. Procurement can be tied to expected authorization and service conditions instead of assuming that a technically capable vehicle can operate everywhere without a defined approval path.

What is driving Japan’s growth through 2036?

Japan is forecast to expand at a 12.5% CAGR from 2026 to 2036.

Japan’s Digital Agency selected 13 regions in March 2026 for a Level 4 commercialization program. The initiative supports regions that aim to establish sustainable business models and reach commercialization around fiscal 2027, creating demand for vehicles plus the remote-operation and fleet-management systems needed to run them.

Government work also addresses communication reliability for Level 4 mobility services. This matters for fleets because loss of communication can affect remote supervision and service recovery, making connectivity design part of the autonomy procurement decision.

Nvidia is positioned as a market leader through its DRIVE Hyperion platform, which combines vehicle compute with a sensor reference architecture and safety tooling intended for Level 4-ready vehicles. Announcements in 2026 show the platform being used across several automaker and mobility-provider programs, supporting its role as a hardware and software foundation for connected autonomy.

Waymo competes through autonomous ride-hailing operations, while Aurora Innovation and Volvo Autonomous Solutions focus heavily on freight. Zoox and Nuro address autonomous mobility and delivery use cases. Einride and Plus are positioned around commercial freight and fleet operation, while Mobileye supplies autonomous-driving and driver-assistance technology across vehicle programs.

TuSimple rebranded as CreateAI in December 2024 and shifted its stated focus away from autonomous trucking. Applied Intuition completed its acquisition of Embark Technology in August 2023. GM completed full ownership of Cruise in February 2025 and is integrating Cruise autonomy work into its wider vehicle-technology program.

Navistar changed its company name to International Motors in October 2024, while Kodiak Robotics now operates as Kodiak AI. Mobileye remains a separately listed company with Intel retaining majority ownership. These corporate changes affect how fleet buyers identify contracting and support entities.

Competition depends on the ability to keep a fleet operational inside a defined operating domain. Buyers assess safety validation and sensor integration, along with remote supervision and fleet-platform interoperability. Freight operators also place weight on service coverage and vehicle uptime because an unavailable autonomous vehicle directly reduces route capacity.

Key Companies indclude Nvidia; Waymo; Aurora Innovation; TuSimple; Embark Trucks; Cruise (GM); Zoox (Amazon); Einride; Plus (PlusAI); Mobileye (Intel); Nuro; Navistar (with Traton & VW); Volvo Autonomous Solutions; Kodiak Robotics

• Nvidia
• Waymo
• Aurora Innovation
• TuSimple
• Embark Trucks
• Cruise (GM)
• Zoox (Amazon)
• Einride
• Plus (PlusAI)
• Mobileye (Intel)
• Nuro
• Navistar (with Traton & VW)
• Volvo Autonomous Solutions
• Kodiak Robotics

• Applied Intuition. (2023). Applied Intuition to Acquire Embark Technology to Enhance Products for AV Development. Applied Intuition.
• Aurora Innovation, Inc. (2025). Aurora Begins Commercial Driverless Trucking in Texas. Aurora Innovation, Inc.
• Centre for Connected and Autonomous Vehicles. (2025). Automated Vehicles Act Implementation Programme. UK Department for Transport.
• Digital Agency, Government of Japan. (2026). Public Call of the Regional Project for Advanced Commercialization of Autonomous Driving Society Implementation in Fiscal 2025. Government of Japan.
• Digital Agency, Government of Japan. (2026). Mobility Working Group, 16th Meeting. Government of Japan.
• Federal Ministry of Justice, Germany. (2026). Road Traffic Act, Section 1e: Operation of Motor Vehicles with Autonomous Driving Functions. Federal Government of Germany.
• Federal Ministry of Justice, Germany. (2026). Autonomous Vehicles Approval and Operation Ordinance. Federal Government of Germany.
• General Motors. (2025). GM Acquires Full Ownership of Cruise. General Motors.
• International Motors, LLC. (2024). Navistar Announces Rebrand and Name Change to International. International Motors, LLC.
• Municipality of Aracruz. (2025). Veículo Autônomo Entra em Operação no Portocel. Municipality of Aracruz.
• NVIDIA Corporation. (2026). BYD, Geely, Isuzu and Nissan Adopt NVIDIA DRIVE Hyperion for Level 4 Vehicles. NVIDIA Corporation.
• United Nations Economic Commission for Europe. (2026). Working Party on Automated/Autonomous and Connected Vehicles: Recent Activities. United Nations.
• U.S. Department of Transportation. (2024). Saving Lives with Connectivity: A Plan to Accelerate V2X Deployment. U.S. Department of Transportation.
• U.S. Department of Transportation. (2024). USDOT Awards Nearly USD 60 Million in Advanced Vehicle Technology Grants to Arizona, Texas and Utah. Federal Highway Administration.
• Waymo LLC. (2026). Waymo Service Expansion Updates. Waymo LLC.
• CreateAI Holdings Inc. (2024). TuSimple Announces Rebranding to CreateAI and Unveils Major Advances in Generative AI. CreateAI Holdings Inc.
• Kodiak AI, Inc. (2026). Kodiak AI Company and Autonomous Ground Transportation Overview. Kodiak AI, Inc.
• Mobileye Global Inc. (2026). Annual Report for the Year Ended December 27, 2025. Mobileye Global Inc.

• The report examines demand across Product, Connectivity Type, Component, Fleet Type and End Use Industry.
• Segment analysis identifies the leading categories and explains the operating reasons behind their position.
• Country analysis evaluates the listed markets and explains the conditions shaping forecast growth.
• Competitive analysis reviews autonomy platform providers, autonomous freight developers and mobility technology companies, including corporate changes that affect supplier identities.
• Scope analysis distinguishes integrated fleet autonomy from standalone vehicle hardware, conventional fleet management and adjacent infrastructure markets.

The Connected Autonomy for Fleets Market covers integrated systems used to automate fleet vehicles and coordinate their operation through vehicle connectivity and fleet-control platforms. The assessment includes autonomy solutions from Level 1-2 through Level 4-5, together with the hardware, software and services required to operate those systems in fleet environments.

The market is evaluated across Connectivity Type, Component, Fleet Type and End Use Industry. Applications include commercial fleets and ride-hailing or robo-taxi fleets. Public transport and logistics operations are also included, along with the construction, mining and agriculture fleet categories defined in the segmentation.

What is included in the scope?

The scope includes Connected Fleet Autonomy Solutions and their Level 1-2, Level 3 and Level 4-5 subsegments. Connectivity coverage includes V2V, V2I and V2X communication, telematics-based connectivity and cloud-based fleet platforms.

Component coverage includes sensing systems and onboard computing, together with communication devices. It also includes autonomous-driving software, fleet-management software, connectivity software and professional, managed and maintenance services when tied to connected autonomy deployment.

Fleet coverage includes Commercial Fleets; Ride-Hailing and Robo-Taxis; Government Fleets and Public Transport; Logistics and Supply Chain Fleets; and Construction, Mining and Agriculture Fleets. End Use Industry coverage is limited to the industries named in the segmentation.

What is excluded from the scope?

The scope excludes consumer passenger-vehicle autonomy sold outside a fleet operating model. Conventional fleet tracking or routing software is excluded when it does not connect to an automated-driving system. General telecommunications networks and roadside infrastructure are excluded unless integrated into a connected fleet autonomy solution.

Standalone sensors and compute hardware used for unrelated vehicle applications are outside the market definition. Industrial robots and stationary automation systems are also excluded. Adjacent products are counted only when they form part of the connected-autonomy categories assessed.

How Was the Analysis Built?

The analysis draws on fleet deployment evidence, regulatory developments, company activity and public transport technology programs to assess connected fleet autonomy demand from 2026 to 2036.

• Primary Research:
  • Interviews and industry discussions focus on fleet operators and automotive OEM sourcing teams. Logistics companies, mobility service providers, telecom infrastructure participants, system integrators and regulatory specialists are also included. The research examines route economics, integration requirements and purchasing criteria.
• Desk Research:
  • The review covers autonomous-vehicle regulation, V2X deployment programs, technical standards and commercial service announcements. Company disclosures and public-sector sources are used to explain demand mechanisms and country conditions.
• Market Sizing and Forecasting:
  • Estimates combine connected and autonomous fleet deployments with system content per vehicle, hardware and software mix, connectivity adoption, Fleet Type, End Use Industry and country-level growth. The model also considers the timing of commercial Level 4 service deployment.
• Data Validation and Update Cycle:
  • Findings are cross-checked against public deployments, regulatory implementation and company activity. Updates account for changes in commercial routes, operating permissions, platform launches and corporate ownership or branding.

• By Product

  • Connected Fleet Autonomy Solutions
    • Level 1-2 Autonomy Solutions
    • Level 3 Autonomy Solutions
    • Level 4-5 Autonomy Solutions

• By Connectivity Type

  • Vehicle-to-Vehicle Connectivity
    • Direct Vehicle Communication
  • Vehicle-to-Infrastructure Connectivity
    • Road Infrastructure Communication
  • Vehicle-to-Everything Connectivity
    • Integrated Ecosystem Communication
  • Telematics-based Connectivity
    • Fleet Telematics Platforms
  • Cloud-based Fleet Platforms
    • Cloud Fleet Management

• By Component:

  • Hardware
    • Sensing Systems
    • Computing Systems
    • Communication Devices
  • Software
    • Autonomous Driving Software
    • Fleet Management Software
    • Connectivity Software
  • Services
    • Professional Services
    • Managed Services
    • Maintenance Services

• By Fleet Type:

  • Commercial Fleets
    • Light Commercial Fleets
    • Heavy Commercial Fleets
  • Ride-Hailing and Robo-Taxis
    • Ride-Hailing Fleets
    • Robo-Taxi Fleets
  • Government Fleets and Public Transport
    • Public Transit Fleets
    • Government Service Fleets
  • Logistics and Supply Chain Fleets
    • Warehousing Fleets
    • Freight Transportation Fleets
  • Construction, Mining and Agriculture Fleets
    • Construction Fleets
    • Mining Fleets
    • Agriculture Fleets

• By End Use Industry:

  • Logistics and Transportation
    • Freight Transportation
    • Warehousing and Distribution
  • Automotive and Mobility Services
    • Mobility Service Providers
    • Automotive Fleet Operators
  • Retail and E-Commerce
    • E-Commerce Logistics
    • Retail Distribution
  • Mining and Construction
    • Mining Operations
    • Construction Operations
  • Utilities and Public Services
    • Utility Operations
    • Public Services

•  By Region:

  • North America
  • Latin America
  • Western Europe
  • Eastern Europe
  • East Asia
  • South Asia and Pacific
  • Middle East & Africa