#software-defined vehicles

LG Electronics has spent years trying to convince investors that its vehicle components division is more than a sideline screen factory. The market finally bought the story. Shares of the Korean conglomerate rocketed as much as 27 percent during Seoul trading on May 28 and 29, closing near 293,000 won, after the company unveiled a new suite of in-car systems built entirely on Google’s Android…

Connected Car Market is evolving rapidly as new trends in automotive connectivity, digital services, and autonomous driving reshape the transportation landscape across Europe. The growing adoption of smart mobility solutions is transforming traditional vehicles into highly connected digital platforms. The Europe Connected Car Market was valued at USD 3,369 Million in 2024 and is projected to reach USD 9,638 Million by 2030, expanding at a CAGR of 19.7%.

One of the major trends driving the market is the shift toward software-defined vehicles. Automakers are increasingly focusing on vehicle software ecosystems that allow continuous updates, feature upgrades, and personalized driving experiences. Over-the-air (OTA) updates are becoming standard, enabling manufacturers to improve vehicle performance without physical servicing.

Another important trend is the integration of advanced driver assistance systems (ADAS) and semi-autonomous driving features. These systems rely heavily on connected technologies to ensure real-time decision-making and improved safety. Features such as adaptive cruise control, lane-keeping assistance, and automatic emergency braking are becoming widely adopted across European vehicles.

Europe Connected Car Market statistics indicate increasing consumer demand for in-car digital services such as entertainment streaming, navigation apps, and voice-controlled systems. Automakers are partnering with technology companies to enhance in-car ecosystems and provide seamless digital experiences.

However, the market also faces restraints such as high infrastructure costs and regulatory challenges. Developing secure and scalable connectivity systems requires significant investment. Additionally, compliance with strict European data protection laws is essential for ensuring consumer trust and system reliability.

Despite these challenges, continuous innovation and strong consumer demand are expected to sustain market growth. The Europe Connected Car industry is set to become a key pillar of the future mobility ecosystem.

The shift toward software-defined vehicles (SDVs) is fundamentally altering the Automotive OTA Market as manufacturers prioritize digital features over traditional mechanical hardware. U.S. automotive OTA market was valued at USD 1,328 million in 2024 and is estimated to reach a value of USD 3,330 million by 2030 with a CAGR of 16.9%.

Recent U.S. Automotive OTA Market insights suggest that the ability to update engine calibration and safety protocols remotely is significantly reducing the frequency of physical dealership recalls. These remote interventions allow for instantaneous bug fixes and security patches, ensuring that the vehicle's software remains robust against emerging cyber threats.

The Automotive OTA industry is witnessing a surge in demand for integrated infotainment and navigation updates that provide a smartphone-like experience for drivers. By delivering these updates over the air, automakers can maintain a continuous relationship with the consumer throughout the entire lifecycle of the vehicle.

A comprehensive Automotive OTA Market analysis reveals that high-speed 5G connectivity is the primary enabler for large-scale data transfers between the cloud and the car. This improved bandwidth allows for the seamless delivery of complex firmware updates (FOTA) that enhance vehicle performance and fuel efficiency without requiring owner interaction.

February 11, 2026 /SemiMedia/ — STMicroelectronics has introduced the Stellar P3E, a new automotive microcontroller designed to bring AI inference directly to the vehicle edge, as carmakers move toward software-defined architectures and highly integrated electronic control units. The Stellar P3E combines real-time control with an embedded neural processing unit, making it one of the first…

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!

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/

Transforming Automotive Software Validation for Software-defined Vehicles