Software-Defined Truck Market, North America and Europe, 2024–2040
Software-defined Trucks are Experiencing Transformational Growth due to Electrification and Connectivity
07-Oct-2025
Global
Market Research
PFG6-01-00-00-00
AU_2025_33928
Software-defined trucks are vehicles designed with hardware-software layers that decouple the capabilities of the vehicle, thus allowing for updates to vehicle features, fleet management, and cloud-based analytics, as well as over-the-air software updates from one or several domains. Rather than being composed of fixed hardware mechanisms with little or no room for upgrades, software-defined trucks have the potential to support ongoing improvements in functionality for vehicles, adaptive mechanisms, and lifecycle flexibility. Software-defined trucks represent a new approach in the engineering of commercial vehicles, where base functionality can be managed and modified through modular software instead of fixed hardware configurations.
Frost & Sullivan presents a feasibility study on the architecture, operations, and economics of transitioning from hardware-defined to software-defined trucks. The report examines implementations of software-defined approaches in the industry, highlights the current software platforms, and explores the enablers for a software-defined ecosystem, such as enhanced crash avoidance features and a shift to centralized computing systems. It also examines challenges associated with software-defined trucks, like cost, security, and privacy concerns. The study further examines continued implications for original equipment manufacturers (OEMs), Tier I suppliers, and fleets as they cultivate their development life cycles from a hardware-based to a tailored software-defined cycle.
Author: Shyamsundar Kanakaraj
The Impact of the Top 3 Strategic Imperatives on the Software-Defined Truck Industry
Transformative Megatrends
Why
- The trucking industry is at a critical juncture, facing increasing demands for operational efficiency along with stricter environmental regulations, changing logistics patterns, and enhanced safety requirements. These factors are driving the industry towards the development of software-defined trucks that are more digitally integrated, better connected, automated, and electric.
Frost Perspective
- Truck manufacturers and fleet operators will start to deploy software-defined fleets, allowing for continuous development of their vehicles, which ensure enhanced predictive maintenance and fleet operations, better routing, and over-the-air (OTA) update capabilities. While many trucking companies are early in the technology adoption phase, the capabilities are emerging.
Disruptive Technologies
Why
- Software advances, onboard computer power, advanced telematics, and artificial intelligence (AI) capabilities are rapidly accelerating growth in the software-defined truck market. Next-gen trucks will be more flexible, autonomous, and efficient than ever before.
Frost Perspective
- While there are still significant hurdles with intermediary partners, the role of technology providers and suppliers will also become critical. The development of technologies that consist of software, cloud services, and AI will influence how next-generation trucks are designed and deployed.
Internal Challenges
Why
- New companies focused on software and digital technology are entering the trucking industry, often gaining an advantage due to fewer legacy obstacles in developing and adopting new solutions.
Frost Perspective
- By 2030, most mainstream truck manufacturers will offer a broad variety of software-defined features in their truck models. The offerings will likely include configurable software packages and subscription services, resulting in annuities and deeper relationships.
Key Competitors
| North America | Europe |
|---|---|
| Freightliner | Mercedes Benz |
| Western Star | Volvo |
| Rizon | Renault |
| Volvo | Scania |
| Mack | MAN |
| Kenworth | DAF |
| Peterbilt | IVECO |
| International | Fuso |
| Hino | Tesla |
| Isuzu | |
| Tesla |
Growth Drivers
Centralized Compute Architectures
The shift from multiple distributed electronic control units (ECUs) to a centralized computing platform is the foundation of Software-Defined Trucks. With centralization, computing resources can be pooled to process larger data sets more quickly, unlock the benefits of simpler software upgrades and releases, and allow for a broader range of features to be integrated. Original equipment manufacturers (OEMs) are developing scalable, modular architectures to support the long-term viability of vehicle platforms.
Better Crash Avoidance
Truck driving, particularly long-haul truck driving, is an extremely demanding job because of the long and continuous operating hours that cause driver fatigue, oversight, or delayed responses in emergencies. Crash avoidance technologies enable OEMs to achieve higher safety levels, particularly for trucks, as they are the vehicle type involved in a majority of road fatalities.
Regulatory Push
To reduce fatality rates and enhance vehicle safety, European regulators will push initiatives to make some advanced driver assistance system (ADAS) functions and safety features, such as the automatic emergency braking system (AEBS) and lane-departure warning (LDW), mandatory. Policy guidelines for the adoption of advanced ADAS functions will guide market participants in introducing features in future truck platforms.
Sensor Suite Development
Developments in vision enhancement and sensor suite technologies will make ADAS more reliable than previous generations.
Growth Restraints
- Cost vs. Benefit
- Cost of Ownership
- Uncertain Regulatory Framework
- Bundled Functions
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8
The Impact of the Top 3 Strategic Imperatives on the Software-Defined Truck Industry
Scope of Analysis
Segmentation
Key Competitors
Growth Metrics
Growth Drivers
Growth Restraints
Value Factor Forecast Considerations
Value Factor: Software-Defined Trucks
Foundation Layers of Software-Defined Trucks
Core Elements of Software-Defined Trucks
Manufacturing Approach: Traditional Trucks vs Software-Defined Trucks
Software Development Approaches by OEMs
Strategic Impact Areas in Software-Defined Trucks
Evolution of E/E Architecture in Software-Defined Trucks
Comprehensive Functional Modules: Software-Defined Trucks
Technology Adoption Phases in Software-Defined Trucks
Powertrain-Driven Evolution Trends in Software-Defined Trucks
Overview of X-By-Wire Technologies in Software-Defined Trucks
Application Suitability and Adoption of Software-Defined Trucks
Influencing Factors of Software-Defined Truck Use Cases
Impact Analysis of Software-Defined Truck Domains
Potential Revenue Models for Software-Defined Trucks
Impact Areas for Fleet Owner: Software-Defined Trucks
Comprehensive Analysis: Flexis Mobility
Comprehensive Analysis: Ree Automotive
Comprehensive Analysis: Tesla Semi
Comparative Analysis of Existing Software-Defined Truck OEMs
Daimler: Software-Defined Strategy
Volvo: Software-Defined Strategy
Traton: Software-Defined Strategy
Paccar: Software-Defined Strategy
Hyundai: Software-Defined Strategy
Cybersecurity Threat Areas in Software-Defined Trucks
Key Factors Impacting the Software-Defined Truck Cybersecurity Landscape
Types of Cybersecurity Components in Software-Defined Trucks
Regulations Impacting Cybersecurity for Software-Defined Trucks
Growth Opportunity 1: Technology Advancements
Growth Opportunity 2: Software Ecosystem
Growth Opportunity 3: Regulatory Readiness
Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
Legal Disclaimer
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Frost & Sullivan presents a feasibility study on the architecture, operations, and economics of transitioning from hardware-defined to software-defined trucks. The report examines implementations of software-defined approaches in the industry, highlights the current software platforms, and explores the enablers for a software-defined ecosystem, such as enhanced crash avoidance features and a shift to centralized computing systems. It also examines challenges associated with software-defined trucks, like cost, security, and privacy concerns. The study further examines continued implications for original equipment manufacturers (OEMs), Tier I suppliers, and fleets as they cultivate their development life cycles from a hardware-based to a tailored software-defined cycle.
Author: Shyamsundar Kanakaraj
| Deliverable Type | Market Research |
|---|---|
| Industries | Automotive |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | software-defined truck |
| Keyword 2 | connected trucks |
| Keyword 3 | automotive electronics 2040 |
| Podcast | No |
| Predecessor | None |
| WIP Number | PFG6-01-00-00-00 |