/pcq/media/media_files/2025/09/22/software-defined-vehicles-2025-09-22-11-49-59.jpg)
The automotive sector is experiencing one of the largest shifts it has ever gone through. Historically, vehicles have been defined by mechanical engineering and hardware innovation; however, vehicles are increasingly becoming software-defined, where cloud computing, data integration, and digital services are as critically important to vehicles as the wheels and engines.
This shift, particularly for electric mobility, is more than just technological change; it is a necessity. Software-defined vehicles (SDVs) manifest the blending of automotive and cloud computing to create new opportunities for safety, efficiency, personalization, and sustainability.
What are software-defined vehicles
Vehicles have historically been hardware-intensive machines, where most software was used to support functions like infotainment or navigation. A software-defined vehicle, on the other hand, is a vehicle in which functionality, features, and performance are managed, upgraded, and enhanced by software.
A software-defined vehicle includes features such as real-time route optimization, energy management, advanced driver-assistance systems (ADAS), and predictive maintenance. Features are updated over the air (OTA), like smartphones, allowing a vehicle and its software features to evolve rather than become obsolete.
Why cloud computing is central
Cloud computing is the essential technology supporting SDVs. Due to the vast amount of information created by EVs, including telematics, sensors, driver behavior data, battery health data, and more, cloud platforms allow the processing, analyzing, and delivering of insights in a way that can be scaled and cognitive in real time.
Some key roles cloud computing plays include:
Real-time data analysis: Enables real-time and predictive route optimization, energy efficiency improvements, and safety interventions.
Predictive maintenance: Anticipates failure before it happens and reduces downtime for fleet operators.
Customization: Provides the ability to change driving modes, comfort features, or user commute experience according to individual preferences.
Continuous improvement: Enables over-the-air software updates for improved performance without changing hardware.
Implications for EV fleets and corporate mobility
SDVs can rethink fleet electrification. Corporate mobility relies on reliable measurements, predictability, and measurable sustainable impact. Software-defined EVs can provide that through:
Fleet optimization: Telematics and cloud-based platforms provide optimally effective routes, lowest costs while out of service, and optimized energy costs.
Carbon accounting: Clients can view emissions avoided in real time, allowing for open reports for ESG to their corporate clients.
Improved safety: The driver experience is audited, and AI systems can intervene to remove risk during the commute.
Scalable upgrades: Transportation fleets can adapt and comply with sustainability requirements through software applications instead of incurring additional costs with hardware upgrades.
For fleet operators, cloud services coupled with the automotive industry mean mobility services are not static; they are dynamic, intelligent, and positioned to flourish in the future.
Challenges to overcome
While promising, SDVs also introduce challenges:
Cybersecurity vulnerabilities: Connected vehicles are exposed to data hacking, and substantial security protocols are a must.
Infrastructure readiness: Cars that are cloud-based applications need data processing that requires stable, high-broadband connectivity, which is highly variable across regions that may not be able to provide reliable connectivity.
Standardization: Varied manufacturers and platforms must achieve interoperability to scale SDVs.
All of these issues involve cooperation between automobile manufacturers, cloud solution providers, policymakers, and mobility stakeholders.
The road ahead
Analysts anticipate that by 2030, software could make up nearly 60% of the value of a vehicle; today it is less than 10%. This indicates a monumental change within the auto industry. From hardware-driven production systems, the industry is moving toward software-driven mobility ecosystems.
For India, the opportunity is immense. Through an SDV commitment, Indian consumers and customers will potentially see value come from an SDV vehicle that is an electrified logistics tool. The SDV vehicle will be an intelligent, flexible, marginal value adder that could stimulate adoption, mitigate cost, and connect mobility with urbanism and climate goals.
The vehicle of the future will not be built in a factory. The vehicle of the future will constantly be built in the cloud. The hybridization of automotive and cloud computing into SDV vehicles is the next mobile experience. The car will no longer be a static machine; it will be a living, responding, and evolving platform.
Authored By~
Abhinav Kalia, CEO and Co-founder at ARC Electric
More For You
Stellantis Data Breach Exposes Customer Info and Highlights Auto Supply Chain Risks
Optimizing Data Centers for AI Growth and Sustainability
AI-Driven Cybersecurity: Trust the Intelligence, But Train the Human