#Software-Defined Vehicles

[semanticlp]

Tata Technologies and Emerson Announce Strategic Global Partnership to Transform Vehicle Testing and Validation

Tata Technologies (NSE: TATATECH), a global product engineering and digital services company, has entered into a strategic partnership with Emerson (NYSE: EMR), a global leader in industrial automation, to co-develop cutting-edge testing and validation solutions for next-generation vehicles. The collaboration aims to support global OEMs across automotive, aerospace, and commercial vehicle…

[excelfore]

Advancing Intelligence and Innovation in Vehicle Diagnostics

The spectrum of automotive technology is rapidly growing, with connected automotive solutions reshaping how vehicles communicate, function, and self-diagnose. The advancement of software-defined vehicles (SDVs) opens exceptional intelligence levels, permitting real-time diagnostics, over-the-air (OTA) updates, and predictive maintenance.

But what does this imply for vehicle owners, fleet operators, and automakers?

Let's explore how advancements in vehicle diagnostics are altering the industry and providing more intelligent, safer, and more efficient mobility.

From Traditional to Smart Vehicle Diagnostics - a paradigm shift

Gone are the days of human intervention and dependence! When a vehicle's diagnostics approach depended only on a technician manually checking for problems utilizing an onboard diagnostics (OBD) tool. Today, cloud-connected, software-driven systems can remotely diagnose vehicle health, anticipate failures, and execute fixes without human intervention. What a transformation!

Critical Drivers of Vehicle Diagnostics Innovation

Real-time Connectivity

Modern vehicles are equipped with embedded telematics that continuously transmit data to the cloud.

Connected automotive solutions enable fleet operators and service centers to monitor vehicle health in real-time.

Software-Defined Vehicle Architecture

Unlike traditional hardware-based models, software-defined vehicles allow new features, enhancements, and bug fixes via software updates.

Automakers can introduce performance improvements remotely rather than through physical recalls.

Predictive Maintenance with AI & ML

AI-powered diagnostics can analyze sensor data to detect early component wear or failure signs.

This prediction decreases downtime and controls expensive breakdowns.

How Intelligent Vehicle Diagnostics transform businesses

 

1. Managing Fleet: Reducing Downtime & Operating Costs

Handling a large fleet of vehicles—whether for logistics, public transport, or ride-sharing—requires a high upkeep and maintenance outlay. Traditionally, fleet operators depended on planned maintenance, which led to unwarranted servicing or unanticipated collapses.

With AI-powered vehicle diagnostics, fleet operators can:

✅ Predict component failures before they occur.

✅ Optimize maintenance plans based on real-time vehicle needs.

✅ Minimize vehicle downtime by assuring required repairs.

For instance, a delivery company utilizing Fleetwise can obtain automated signals and alerts when tire pressure is low, allowing proactive maintenance and lowering fuel wastage.

2. Connected Automotive Solutions in Autonomous Vehicles

Autonomous and semi-autonomous vehicles rely heavily on connected automotive solutions for smooth functions. These systems gather extensive data from LiDAR, cameras, and sensors to interpret potential hardware failures before they affect performance.

✅ Over-the-air software updates help keep vehicle software up-to-date.

✅ Cloud-based diagnostics detect sensor calibration issues and fix them remotely.

Example: A robo-taxi company deploys software-defined vehicle technology to self-monitor braking systems and automatically update algorithms for smoother ride experiences.

 

3. Enhancing Customer Experience with Remote Diagnostics

Car manufacturers and service providers leverage remote diagnostics to offer enhanced customer experiences. Instead of a driver experiencing a sudden engine warning light without context, connected diagnostics provide clear explanations and automatically schedule service appointments.

✅ Remote vehicle health reports keep drivers informed.

✅ Service centers receive pre-diagnosed reports before the vehicle arrives.

✅ OTA updates fix minor software issues without requiring a dealership visit.

Example: A luxury car brand integrates vehicle diagnostic systems with mobile apps, notifying owners about upcoming service needs and potential issues.

 

The Future of Vehicle Diagnostics: What's Next?

Integrating connected automotive solutions, AI-driven analytics, and software-defined vehicle frameworks will further revolutionize vehicle diagnostics.

Expect advancements such as:

Self-healing vehicles that autonomously correct minor software glitches.

Real-time emissions monitoring to comply with evolving environmental regulations.

Blockchain-based service records for transparent and tamper-proof vehicle maintenance history.

With the increasing complexity of vehicle architecture and EE systems, cloud-powered diagnostics and OTA updates will become a necessity, not a luxury.

 

Navigating the Future with Excelfore

As the automotive industry transitions to software-defined vehicles, trustworthy and safely connected automotive solutions become critical. Excelfore is at the forefront of this transformation, delivering safe, standards-based cloud-to-vehicle connectivity and extensive device management applications.

Ready to embrace the future of vehicle diagnostics? Contact us now!

 

About the Author: Excelfore, a pioneer in automotive data management solutions, provides innovative software platforms for connected vehicles. With a focus on scalability, security, and interoperability, Excelfore enables seamless integration of advanced technologies in the  automotive ecosystem. From data management to over-the-air updates, Excelfore solutions empower automakers and Tier-1 suppliers to deliver cutting-edge connected vehicle experiences.

[tatatechnologies]

Unlike IT services’ piecemeal approach, we focus on full-spectrum vehicle engineering: Tata Technologies’ CTO

The automotive industry is rapidly embracing the concept of software-defined vehicles (SDV). Today, vehicles are evolving into high-performance computing platforms, and the overall industry is moving towards creating what could be described as “mobile phones on wheels.”

SDV is an umbrella term that encompasses a variety of components. These include infotainment software systems, Advanced Driver Assistance Systems (ADAS), cybersecurity, vehicle testing, and more. Pune-based Tata Technologies counts SDV and by extension full vehicle engineering as one of its core propositions. “Vehicles are now evolving into high-performance computing platforms, and we’re at the forefront of this transformation. We’re engaged in cutting-edge work, developing multiple proof-of-concepts (POCs) and minimum viable products (MVPs) that explore how this evolution will unfold,” Sriram Lakshminarayanan, President and chief technical officer told TechCircle in an interview.

Comprehensive approach to vehicle engineering

Lakshminarayanan says that while IT companies have traditionally supported this area in parts, Tata Technologies takes a more comprehensive approach. “Often, IT companies have supported automotive projects in a piecemeal fashion, focusing primarily on areas like mobile app development or cloud hosting. We position ourselves as a full-spectrum vehicle engineering company. We combine our expertise in Full Vehicle Programs with cutting-edge technology, offering a cohesive, end-to-end solution.”

This comprehensive approach also involves integrating a robust technology layer. For instance, partnerships with chip manufacturers and vehicle OS developers are crucial, he says. To this end, Tata Technologies has collaborated with companies like ARM and NXP Semiconductors. The memorandum of understanding with Arm was signed in July, enabling the integration of Tata Technologies’ software with Arm’s Automotive Enhanced (AE) portfolio to speed up the development of high-performance vehicle computing systems.

In one of the major deals in this area, Tata Technologies in April partnered with German automobile company BMW Group to form a joint venture (JV) to deliver automotive software, including SDV solutions for BMW Group’s vehicles and digital transformation solutions for its business IT. Under the agreement, the two firms are establishing automotive software and IT development hubs in Pune, Bengaluru, and Chennai.

“Going forward, We are making significant investments in our Global Practice function that I lead. We’re doubling down on expanding our pool of global small and medium enterprises (SMEs) and enhancing our presence in key markets with market-facing SMEs. Additionally, we’re heavily investing in R&D projects focused on developing MVPs, POCs, and other innovative solutions,” said Lakshminarayan.

Acquisition-led growth in ER&D

Beyond, SDV, engineering research and development (ER&D) is a huge growth opportunity area for Tata Technologies, Lakshminarayan said. In November 2023, Nasscom and BCG released a report which that India will likely contribute 22% to the Global ER&D sourcing market by FY30. Software, Automotive, and Semiconductor sectors are expected to contribute 60%+ of India’s share of ER&D sourcing by FY30.

Amid limited organic growth opportunities, IT companies are increasingly using mergers and acquisitions (M&A) to enter this specialized field. Recent high-profile deals include Cognizant’s $1.3 billion acquisition of Belcan and Infosys’ purchases of In-Tech and InSemi. Midcap firms also actively engaging in acquisitions to enhance their expertise in sectors. Case in point is Coforge’s acquisition of Cigniti Technologies and Happiest Minds’ acquisition of Noida-based digital engineering firm PureSoftware Technologies.

“Acquisitions-led growth for IT services company in the ER&D sector is bound to happen across the industry, and we will also need to carefully consider our options. Our M&A strategy team continuously evaluates the pros and cons to determine what aligns with our goals. When the time is right, and there’s a need for complementary skill sets that fit our objectives, acquisitions will certainly be on the table. However, I would say that while we may explore these opportunities in the three to five-year horizon, it’s unlikely to happen in the short term.”

To be sure, in November 2023, Tata Technologies became the latest and the first initial public offering (IPO) for a group entity in two decades since Tata Consultancy Services’ IPO in 2004. In quarterly earnings announcement for Q1FY25, the engineering and digital services firm reported a slump in the net profit of 15% to ₹162 crore owing to declining revenue from its services segment and higher expenses. The company said that its total operating revenue rose 0.9% to ₹1,269 crore year-on-year (YoY) and fell 2.5% sequentially.

Original source: https://www.tatatechnologies.com/media-center/unlike-it-services-piecemeal-approach-we-focus-on-full-spectrum-vehicle-engineering-tata-technologies-cto/

Sriram Lakshminarayanan, President and chief technical officer at Tata Technologies.

[arjunvib]

Transforming Automotive Software Validation for Software-defined Vehicles

KPIT featured the cover story of HANSER Automotive, discussing the transforming automotive software validation for SDVs, factors& challenges in SDV Validation

[semimediapress]

Continental launches fabless chip unit, taps GlobalFoundries for automotive semiconductor production

June 26, 2025 /SemiMedia/ — Germany’s Continental AG said it has launched a new business unit focused on semiconductor design for automotive applications and signed a manufacturing partnership with GlobalFoundries to support production. The new division, called Advanced Electronics and Semiconductors Solutions (AESS), will handle chip design and validation for Continental’s upcoming spin-off…

[datastring]

Software Defined Vehicle Market set to hit $8106.5 billion by 2035

Industry revenue for Software Defined Vehicle is estimated to rise to $8106.5 billion by 2035 from $214.9 billion of 2024. The revenue growth of market players is expected to average at 39.1% annually for the period 2024 to 2035.

Software Defined Vehicle is critical across several key applications including vehicle connectivity, advanced driver assistance systems (adas), in-car infotainment and electric vehicle management. The report unwinds growth & revenue expansion opportunities at Software Defined Vehicle’s Type, Technology Type, Application and Implementation Type including industry revenue forecast.

Industry Leadership and Competitive Landscape

The Software Defined Vehicle market is characterized by intense competition, with a number of leading players such as Alphabet Inc, Apple Inc, Autonomic (a subsidiary of Ford Smart Mobility), Automotive Edge Computing Consortium, Baidu, BMW, Bosch, Daimler AG, Ford Motor Company, General Motors, Harman International (a subsidiary of Samsung Electronics) and Tesla Inc.

The Software Defined Vehicle market is projected to expand substantially, driven by rapid advancements in autonomous technology and increased demand for connected services. This growth is expected to be further supported by Industry trends like The Shift towards Electric Vehicles.

Detailed Analysis - https://datastringconsulting.com/industry-analysis/software-defined-vehicle-market-research-report

Moreover, the key opportunities, such as acceleration of autonomous vehicles, tailored user experience and integration with smart cities, are anticipated to create revenue pockets in major demand hubs including U.S., China, Japan, Germany and South Korea.

Regional Shifts and Evolving Eco Systems

North America and Europe are the two most active and leading regions in the market. With challenges like high development and maintenance costs and network security concerns, Software Defined Vehicle market’s eco system from hardware development / software programming & integration / cloud infrastructure services to end-user applications is expected to evolve & expand further; and industry players will make strategic advancement in emerging markets including India, Brazil and Indonesia for revenue diversification and TAM expansion.

About DataString Consulting

DataString Consulting offers a complete range of market research and business intelligence solutions for both B2C and B2B markets all under one roof. We offer bespoke market research projects designed to meet the specific strategic objectives of the business. DataString’s leadership team has more than 30 years of combined experience in Market & business research and strategy advisory across the world. DataString Consulting’s data aggregators and Industry experts monitor high growth segments within more than 15 industries on an ongoing basis.

DataString Consulting is a professional market research company which aims at providing all the market & business research solutions under one roof. Get the right insights for your goals with our unique approach to market research and precisely tailored solutions. We offer services in strategy consulting, comprehensive opportunity assessment across various sectors, and solution-oriented approaches to solve business problems.

[ashimbisresearch]

Software Defined Vehicle Market Report I BIS Research

[semanticlp]

KPIT Technologies Collaborates with Mercedes-Benz Research and Development India to Accelerate Software-Defined Vehicle Development

KPIT Technologies has announced a collaboration with Mercedes-Benz Research and Development India (MBRDI) to accelerate the development and realization of Software-Defined Vehicles (SDVs). This partnership aims to drive faster innovation, reduce time-to-market, and enhance operational efficiencies by leveraging KPIT’s cross-domain expertise in mobility technologies. Mercedes-Benz is advancing…

[ontonix]

Ontonix Contributes to Software-defined Vehicle (SdV) Course

“This course gives you easy access to the key concepts of the Software-defined Vehicle (SdV) and related topics such as vehicle OS, vehicle Digital Twin, vehicle app stores and continuous vehicle experience improvements. The course covers SdV use cases, target architecture, transformation roadmap and management of the related value streams. Learn how OEMs can benefit from SdV-enabled vehicle…

[excelfore]

Future of In‑Vehicle Networks in Connected Vehicle Ecosystems

The automotive industry is undergoing a rapid digital transformation. What was once a hardware-dominated space is now evolving into a landscape defined by intelligent software, connectivity, and automation. This shift is paving the way for the software-defined vehicle (SDV)—where features and functions are delivered and upgraded through code, not just hardware.

As demand rises for connected automotive solutions, autonomous capabilities, and over-the-air (OTA) updates, the spotlight is firmly on the in-vehicle network. These networks serve as digital highways, enabling communication not only between the many edge devices in the vehicle, but also between those edge devices and the cloud. This article explores the evolution of these networks, their key technologies, and the role they play in powering the next generation of AI-defined vehicles and connected mobility.

Evolution of In-Vehicle Networks

Legacy Systems

In-vehicle communication today begins with legacy protocols like CAN (Controller Area Network), LIN (Local Interconnect Network), and FlexRay. While reliable for basic operations, these systems were designed for limited data exchange and struggled to meet the modern vehicle requirements of high bandwidth, security, and cloud accessibility. Their limitations in scalability have become obstacles to innovation.

Transition to Ethernet-Based Architectures

To meet growing data demands, the industry is transitioning toward automotive Ethernet. Offering higher bandwidth and more efficient data handling, Ethernet-based systems form the backbone of next-gen vehicle networks. In particular, Time-Sensitive Networking (TSN) enables these Ethernet systems to handle real-time traffic, which is essential for safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous driving.

The Role of Ethernet and IP-Based Protocols

Automotive Ethernet

Modern vehicles now rely on Ethernet networks that can handle speeds ranging from 100 Mbps to 10 Gbps. These full-duplex, scalable systems support zonal architectures, allowing centralized control and reduced wiring complexity.

Key Protocols

Two key IP-based protocols define this evolution:

SOME/IP enables flexible, service-oriented communication between ECUs.

DoIP (Diagnostics over IP) enhances remote vehicle diagnostic capabilities and maintenance workflows.

These protocols facilitate dynamic data flows and services between traditional bus systems and more modern ethernet backbones, simplifying  communication and improving compatibility between cloud and edge systems.

Advantages

Compared to legacy architectures, Ethernet and IP protocols:

Support sensor data fusion for AI-based decision-making

Reduce wiring complexity and cost

Enable more effortless scalability and OTA support

Lay the foundation for software-defined vehicle platforms

Connected Vehicles and Network Demands

Definition and Capabilities

Connected vehicles go beyond onboard intelligence—they communicate with infrastructure, other vehicles (V2V), pedestrians (V2P), and the cloud (V2C) using Vehicle-to-Everything (V2X) technologies. These capabilities enable real-time decision-making and enhanced safety.

Network Requirements

To support this, in-vehicle networks must offer:

High data bandwidth

Deterministic latency

High reliability

Advanced cybersecurity

Seamless cloud and edge integration

Edge Computing and Cloud Offloading

Modern networks allow computation and data to be distributed between the vehicle and the cloud. Appropriate edge/cloud offloading enables faster decision-making in the vehicle in real-time, while managing larger datasets from fleets of vehicles in the cloud, which is critical for AI-defined vehicles and autonomous platforms.

Software-Defined Vehicles (SDVs) and Centralized Architectures

Concept of SDVs

The software-defined vehicle represents a fundamental shift: core functions are no longer defined by the hardware but are abstracted, virtualized, and updateable via software. This enables continuous improvement and feature expansion throughout the lifetime of the vehicle.

Shift to Centralized ECUs/Zonal Architectures

In this model, multiple small ECUs are replaced with a few high performance computing units connected via zonal hubs. This simplifies system design and cabling while enhancing performance.

Network Implications

These changes demand:

High-throughput, low-latency communication across zones

Advanced data partitioning for secure, isolated operations

Efficient data management for real-time and post-processing analytics

Challenges and Future Trends

Technical Challenges

Modern in-vehicle networks must handle bandwidth prioritization and ensure deterministic behavior in systems with both safety-critical and non-critical data.

Security Considerations

Protecting data during OTA updates and cloud exchanges is vital. Advanced authentication, encryption, secure boot, and partitioned software stacks are necessary safeguards.

Emerging Solutions

New technologies shaping the future include:

Enhanced TSN standards

AI-powered network orchestration

Automotive Software-Defined Networking (SDN) for dynamic traffic management

Standardization and Collaboration

Consortia, like AVNU and the eSync Alliance, are crucial for industry-wide standardization, ensuring interoperability and accelerating innovation.

In Essence

In-vehicle networks are no longer support systems—they are the digital infrastructure on which the future of mobility is built. Future in-vehicle networks will be foundational to connected and SDV technologies, requiring robust, secure, and flexible architectures. From vehicle diagnostics to real-time data sharing, these networks enable the capabilities that define connected automotive solutions and software-defined vehicles.

As vehicles become platforms for mobility services and software innovation, in-vehicle networks will continue to evolve toward high-performance, IP-based ecosystems.

The road ahead lies in harmonizing connectivity, performance, and security to fully realize the vision of autonomous and intelligent mobility.

As the industry transitions toward mobility-as-a-service and continuous innovation, Excelfore is committed to delivering robust, secure, and scalable networking solutions that drive the future of intelligent, connected mobility.

Contact us now!

[tatatechnologies]

How OEMs can leverage SDVs to stay ahead of the curve

The USD 3.6 trillion global automotive industry is undergoing a transformative shift towards Software-Defined Vehicles (SDVs), signalling a new era where software takes precedence over hardware. This evolution demands massive investments in infrastructure, software ecosystems, and a rethinking of traditional hardware integration approaches. As both legacy and greenfield OEMs embrace SDVs, their strategies diverge: traditional OEMs take a phased approach, focusing on stability with zonal compute systems, while newer OEMs are accelerating towards centralized compute architectures, driven by agility and innovation.

OEMs today are not simply choosing between the latest technology and established best practices. Instead, they are striving for a balance — one that supports dependability, high-performance computing, and software adaptability. This future-focused approach is redefining the automotive landscape, helping manufacturers stay competitive in the software-first world.

Engineering Dependability for Future

The evolution from microcontroller-based architectures to software-dominated systems has been driven by the growing demands for safety, security, and performance. To manage this complexity, OEMs require solutions that combine functional safety with the flexibility needed for next-gen infotainment, connectivity, and Advanced Driver Assistance Systems (ADAS). The goal is to empower OEMs with the tools to deliver software-driven products that are faster, safer, and more efficient.

Building SDV ecosystem — the five key measures — To support this paradigm shift towards SDVs, five critical elements need to be integrated:

Lingua Franca for Predictability — The Lingua Franca deterministic framework ensures real-time, safety-critical automotive applications operate predictably across platforms, offering consistency in performance and safety.

Automotive Grade Linux — With Linux becoming the standard for automotive operating systems, Tata Technologies pioneers efforts to qualify Linux kernels with real-time patches. This enables high-performance computing in vehicles while meeting the stringent demands for safety and updatability.

Containerisation for Flexibility — Containerization solutions like WebAssembly 3.0 and Docker simplify SDV architectures, enabling isolated process execution with cross-platform compatibility, reducing the complexity of traditional systems.

Embracing Rust for Safety-Critical Systems — As the industry moves away from C++ for safety-critical environments, the adoption of Rust, a memory-safe programming language, is transforming ADAS and autonomous systems, ensuring future-ready software frameworks.

Hardware Integration for Functional Safety — Functional safety in automotive hardware presents unique challenges, and the need of the hour is an approach that integrates hardware IP compliance and software frameworks to create a seamless ecosystem, empowering OEMs to develop SDVs that exceed safety and performance standards.

Original source: https://www.tatatechnologies.com/media-center/how-oems-can-leverage-sdvs-to-stay-ahead-of-the-curve/

Rinat Asmus, Vice President, Business Development, SDV, Tata Technologies

[arjunvib]

Transforming Automotive Software Validation for Software-defined Vehicles

Automotive software validation is getting impacted because of the complex software and architecture requirements for SDV (Software-defined Vehicle). The mature automotive software development process which was well suited for traditional architectures is inherently posing challenges or restrictions in the adoption of new methodologies which were not a part of the earlier process. Continuing with the pre-SDV validation approach is causing further delays in SOP (start of production) for SDVs.

KPIT featured the cover story of HANSER Automotive, discussing the transforming automotive software validation for SDVs, factors& challenges in SDV Validation

[researchrealmblog]

Software-Defined Vehicle Market is Powered by the Development of Autonomous Vehicles

The software-defined vehicle market had a value of USD 268.8 billion in 2023, and it will power at a rate of 9% by the end of this decade, to touch USD 489.7 billion by 2030.

The development of the industry has a lot to do with the need for a decrease in the accident count all over the world and the compensations these vehicles offer for the old people and the ones with disabilities.

Basically, advanced software improves the safety of vehicles and reduces the likelihoods of the errors by humans. It likewise helps decrease the burden on the driver, by managing numerous driving functions itself.

On the basis of autonomy, level 3 will be the fastest growing, as these autonomous vehicles can detect the atmosphere and make informed choices for themselves. These results comprise upholding the perfect speed according to the traffic and weather conditions. It is considered a conditionally automated level, where the driver can handle the vehicle themselves in numerous situations.

In January 2023, Mercedes-Benz publicized the receipt of the consent of the U.S. government for level 3 driving features.

The level 1 category is also rising, as this software supports the driver with steering and cruise control. Without much interference by the driver, a safe distance amid vehicles is kept. This automation also aids drivers with braking, steering, and acceleration throughout driving. L1 features comprise lane departure warning, tire pressure monitoring, adaptive front lights, and numerous more.

The requirement for EVs is rising owing to their lower running cost and no need for fuel, which removes the emission of injurious gases. Moreover, all key automotive OEMs are growing their emphasis on EVs to meet the rising requirement. For example, Tata Motors will launch several new EVs, for example Punch EV, Harrier EV, and Nexon EV, in 2023.

The consciousness is snowballing amongst individuals concerning the harmful effects of gasoline and diesel combustion, driving the requirement for environment-friendly transportation solutions. Furthermore, EV sales are snowballing with the setting up of charging stations at a global level. By 2030, 30% of the vehicles in India would be electric.

APAC software-defined vehicle market is in the leading position, and this trend will continue in the years to come as well, accounting for USD 147.8 billion by 2030. The development has a lot to do with the rising in the emphasis on safety and decreasing the count of accidents.

It is because of the development of autonomous vehicles all over the world, the demand for software-defined vehicles will continue to grow in the years to come as well.

Source: P&S Intelligence