Europe is projected to reach a 20.4% market share, while the US is likely to reach 11.2%. Moreover, it ensures perception in challenging conditions such as night, rain, fog, and snow. Also, cloud and edge computing balance fleet-scale analytics with full VIN report for California drivers millisecond in-car inference.
What technology is used in the automotive industry?
- Its products include the Leggera, an all-electric vehicle for on-road and off-road use, and the Spiritus, a three-wheel electric car with optional autonomous driving, Wi-Fi connectivity, and solar panels.
- Sales for BEV and PHEV in Europe increased by 137% in 2020 compared with the previous year (despite a 20% year-over-year decrease in the total car market).
- These tools enable dealerships to handle inquiries efficiently, freeing time for other tasks.
- In China, it was even reported that lithium-ion battery pack prices fell below $100/kWh for the first time.
- This regulatory clarity will pave the way for broader AV adoption in cities, particularly in controlled environments like urban areas or designated autonomous vehicle lanes.
- Its AI-driven control systems, xCognition and xTrude, enhance industrial robotics and additive manufacturing by automating programming and improving precision.
- In 2024, the automotive industry is increasingly integrating cutting-edge technologies into its operations.
- The industry is also innovating in battery chemistry, thermal management, and vehicle-to-grid (V2G) tech to improve EV usability.
Many enterprises are moving ahead to create autonomous vehicles with all the multi-faceted benefits. To meet these new requirements and realize this long-term vision, approaches are required to push against the status quo. To understand AI’s impact on the automotive industry, it is important to consider the ongoing shifts across the automotive landscape, especially the transition toward software-defined vehicles. Modern vehicles have transitioned from distributed architecture to a centralized, high-performance computing model. This transformation has further streamlined the vehicle architecture, facilitating over-the-air software updates, more efficient management, and lowering overall complexity.
Inside the architecture: How software-defined vehicle (SDV) platforms are built
With zero emissions, low noise, and a range of up to 400 km, FALAK offers a sustainable urban mobility solution. The startup emphasizes comfort with electric doors, extended safety features, and panoramic views from all seats. Advances in solid-state batteries promise higher energy density and faster charging times, while the expansion of ultra-fast chargers addresses key barriers to EV adoption. With the growing popularity of bidirectional charging (V2G) technology, EVs now contribute energy to the grid to improve stability. By focusing on digital transformation, the company aims to integrate predictive analytics and process automation, creating production systems that are adaptable and resilient. These examples point to AI enabling real-time decision-making and predictive maintenance, while improving quality control and minimising downtime, marking the technology ‘a no-brainer’ for production in 2025.
b. Regulatory and Legal Challenges
Many auto manufacturers are considering integrating in-car payments to ease refueling, paying for parking or tolls, and even grocery shopping. Autonomous driving technologies like AD and ADAS are only possible to implement with the adoption of AI. Driver assistance technology, in particular, can go as far as detecting driver fatigue by monitoring their eyes and taking measures to avoid car accidents. The systems that come together to implement such technologies are sensor fusion, computer vision, and real-time decisions to enable the vehicle to take all complex traffic scenarios easily. Significant investments in AI and Internet of Things (IoT) devices are crucial for fine-tuning self-driving algorithms, making them safer and more reliable.
- Soon, this will expand to more complex urban environments as vehicle access becomes increasingly prioritised over ownership among the driving masses.
- By incorporating AI tools, the company has reduced production costs while accelerating vehicle launch timelines.
- The startup uses automotive sensors and compute platforms to offer a scalable solution for cars to enable large-scale fleet learning.
- South Korean startup BOS Semiconductors builds Eagle-N, an AI accelerator for in-vehicle infotainment (IVI) and ADAS.
- The autonomous vehicle sector will advance as UN regulators lift their speed limit.
Big data and advanced analytics play a crucial role in decision-making throughout a vehicle’s lifecycle. Vehicle-generated data facilitates predictive maintenance, fleet management, and accident response. Additionally, customer data drives sales, optimizes supply chains and informs new vehicle designs.
Challenges Facing EV Manufacturers
Canadian startup KonnectShift provides IoT solutions to optimize fleet and asset management. The startup develops Konnect – GS01, an automatic electronic logging device (ELD) to continuously track vehicular health. Israeli startup DAV offers a decentralized autonomous vehicles platform based on blockchain technology.
Optimizing mobile experiences & personalization
The autonomous vehicle (AV) market is on an impressive growth trajectory, expected to surge from a market value of $1,921.1 billion in 2023 to a staggering $13,632.4 billion by 2030, with a CAGR of 32.3%. A major driver of this growth is the increasing focus on commercial applications, such as logistics and ride-sharing services. Advances in AI, sensor technology, and connectivity are also playing a key role in improving the safety and adoption of autonomous vehicles. The global automotive semiconductor market is expected to grow at a rate of 8.1% between 2023 and 2030. This growth is driven by the increasing adoption of electronic control units (ECUs) in modern vehicles and the rising implementation of advanced safety systems. Semiconductors are, in essence, at the heart of modern car manufacturing, reshaping our understanding of mobility.
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It does so to preserve their heritage design and deliver zero-emission performance. The startup employs the Perceived Quality Index to eliminate engineering bias by translating customer insights into measurable quality improvements. Cost savings also play a role, as recycled aluminum or bioplastics often return their investment in just over a year.
- Battery technology has taken centre stage in the EV revolution, and this article provides a deep dive into the leading chemistries and formats that defined 2024.
- Alongside established technologies like AI and big data analytics, the industry is also embracing the Internet of Things (IoT) and blockchain for diverse applications.
- Self-driving cars are considered safer since they can sense their environment and operate safely within it, eliminating factors such as human error and driver fatigue.
- The company already has 50 Level 4 autonomous trucks operating in the Southwestern United States.
Several leading OEMs have already announced plans to adopt the chipset for their automotive solutions, including BYD, Nuro, XPENG, Volvo and Zeekr. Contact us today to make critical data-driven decisions, prompting accelerated business expansion and breakthrough performance. With customers becoming more demanding, rules and regulations are becoming stricter, and competition is stronger and faster.
Kemet Automotive manufactures All-terrain Electric Vehicles
This pushes automakers to invest heavily in electric drivetrains, recycled materials, and circular economy practices. Consumers increasingly demand eco-friendly options, influencing market offerings. Expect more biodegradable components, renewable energy-powered factories, and battery recycling programs. The trend is irreversible and will accelerate innovation while challenging legacy ICE-dependent supply chains. 5G connectivity unlocks ultra-low latency communication, enabling real-time vehicle-to-everything (V2X) interactions. This enhances autonomous driving capabilities, traffic management, and safety features.
Shift to Omni channel content strategy
The goal is to enable cars to make decisions and navigate without human intervention. In 2025, automakers will continue improving AI systems’ reliability, reducing the likelihood of accidents, and enabling safer autonomous driving experiences. Personalising the IVX will drive the need for AI agents, which is one reason why EDA tool vendor Synopsys is working with Sima.ai. Across in-vehicle infotainment (IVI) and advanced driver assistance systems (ADAS), there have been various OEM innovations in the past year, with AI models being integrated into these systems. For example, Mercedes-Benz is using Chat-GPT for intelligent virtual assistants within its vehicles. 94 percent of global automakers are using ARM-based technology for automotive applications, alongside the top 15 automotive semiconductor suppliers in the world adopting ARM technologies in their silicon.
However, the demand for parts is also being diminished by the increasing quality of newly manufactured vehicle parts. In addition, the ecommerce automotive aftermarket market is worth an estimated $85.28 billion. The company already has 50 Level 4 autonomous trucks operating in the Southwestern United States. One of the most promising companies in the autonomous trucking ecosystem is TuSimple. The number of autonomous trucks on the road was expected to increase from roughly 150 in 2020 to over 2000 in 2021. It’s expected that the $800 billion trucking industry could benefit from a significant reduction in the 4900 trucking-related deaths that occur each year if only Level 3 or 4 autonomy would gain traction.
🚗 Subscription Models and Car-Sharing Services
The startup’s platform combines augmented reality (AR), smart camera, and surround-view monitoring to illuminate the route on turns, curves, slopes as well as complex junctions. This assists the drivers in keeping lanes, prevents collisions, and enables autonomous driving options. Moreover, the solution is customizable to any car model or specific OEM requirements. Additionally, smart virtual assistants are emerging as a key HMI feature, aiding drivers and passengers in interacting with vehicles and external services. The global Automotive Human Machine Interface market, valued at USD 70.41 billion in 2022, is expected to grow significantly, reflecting these advancements in automotive technology.
In addition, TuSimple has partnered with Navistar and UPS to test its software under supervised driving conditions. This could allow drivers to retain their jobs, but avoid the injuries and deaths that result from exhaustion. Additionally, Chevrolet, Hyundai, Kia, Nissan, and Jaguar have all released more affordable EVs that have a range of anywhere from 200 miles to 250 miles. Right now, there are only about 73,215 public EV charging stations across the US. Lithium-ion battery prices have fallen by 89% over the last decade, reaching a price of $137/kWh in 2020.
Modernized and upgraded vehicles with much more technology allow a thunder growth for the markets providing parts of the vehicles. Conversely, in Europe, regulations are scaling up in preparation for the EU ban on new ICE vehicles by 2035. Chinese EV automakers’ expansion into new markets, including Europe, other Asian countries, and Latin America as previously mentioned, could see a completely new global EV landscape. Perhaps the biggest shift here is in a new manufacturing landscape, with new decentralised hubs across the globe producing EVs for local markets.
With the new administration of Donald Trump in January, the trade war with China will have a major impact on the automotive industry in 2025. Displays will also be a key driver of automotive technologies in 2025, from microLEDs to the production of holographic windscreens and smart glass. Belgian startup Apache Automotive develops the APH-01, a T3 prototype for extreme terrain. It combines a gasoline engine with an electric motor to enhance fuel efficiency and reduce emissions.
Central to this evolution is the growing demand for electric vehicles and software-defined vehicles. British startup Cube Intelligence develops a blockchain-based security platform for autonomous vehicles. The startup’s technology utilizes hash codes to block malicious attacks or hacking attempts on autonomous cars and connected cars. Additionally, Cube Intelligence offers ride-hailing and valet parking services for AVs, as well as smart parking management systems. The automotive manufacturing sector is entering 2025 amidst seismic shifts driven by electrification, digital transformation, and the growing mandate for sustainability.
Jeep Recon Aims to Define Electric Off-Roading
However, sales of robotaxi vehicles will remain a minority, as safety concerns, legislative bottlenecks and the high cost of operations restrict growth. The current trends in the automotive industry seen in previous years will remain in 2025 and are likely to become automotive future trends. The auto manufacturers who rely on the older versions of chips which are not advanced and powerful will disrupt the growth of the automotive industry.
The startup uses automotive sensors and compute platforms to offer a scalable solution for cars to enable large-scale fleet learning. German startup SafeAD develops a vision-first perception and scene-understanding pipeline for autonomous driving. The charging infrastructure is more vulnerable as a result of the quick uptake of EVs, which hackers may attack to obtain customer information or interfere with services. The need for high-performance processors is also growing as a result of software-defined vehicles (SDVs), which rely on semiconductors for ongoing updates and subscription-based services.
Looking ahead, Tesla’s strategies are likely to influence industry standards and inspire localisation efforts across the sector. With its focus on next-generation cells and expanded production capacity, Tesla is paving the way for a more efficient and sustainable global EV landscape. The next wave of auto trends is shaped by enabling technologies that extend beyond electrification and connectivity.
Market leaders are adjusting their strategies to align with current trends, further emphasizing the shift towards EV-only vehicles. Just days ago, Jaguar unveiled their new concept car, the Jaguar Type 00, a fully electric, futuristic vehicle that marks a departure from every other car the brand has produced. This transformation is also expected to help revive sluggish vehicle sales by 2030. The next decade will undoubtedly see dramatic changes in how we drive, how we share vehicles, and how we engage with the technology that powers our transportation systems. Self-driving vehicles rely on artificial intelligence (AI) and machine learning algorithms to process real-time data from cameras, sensors, and radars.
They improve energy efficiency through wide-bandgap devices that extend EV range and minimize charging times. The semiconductors also enable infotainment, voice assistants, and AI-driven interfaces for a better user experience. These advanced technologies are widely used across a great number of industries and the automotive domain is no exception. They are used by the automotive industry for car manufacturing, employee training as well as vehicle sales and marketing. The main advantage of this digital technology is that it allows auto manufacturers to create complex and at the same time lightweight vehicle parts.
Top Three Automotive and Mobility Trends in 2025
Recent developments highlight how manufacturers are leveraging advanced technologies and evolving their strategies to meet these challenges. The automotive industry is set to witness huge growth in integrated drive ePowertain systems that reduce weight and cost and offer improvements like enhanced vehicle range and efficiency. In the future, advanced integrated solutions will dominate, leading to lighter and more efficient electric powertrains and driving the next generation of high-performance and mass-market EVs. The integrated powertrain segment is likely to hold ~60-65% of the total e-powertrain market in 2025. Connected cars create new revenue streams via subscription services, data monetization, and personalized experiences.
German startup Qumasoft offers a software-driven cybersecurity management solution for vehicles and components. Its platform automates the cybersecurity management system (CSMS) and product cybersecurity evidence (PCSE) to ensure compliance with UNECE R 155 and ISO/SAE 21434. We evaluate our own startup data and complement these insights with external research, including industry reports, news articles, and market analyses.
Cost efficiency strengthens the case, with Mexico offering a 35% landed-cost edge over China in 2022. And it is projected to widen to 45% by 2030 due to lower labor and freight costs. The startup enables automakers to reduce waste, optimize design processes, and advance sustainable manufacturing strategies.
No Surprise: Q4 Auto Sales Fell, EVs Fell Further
ADAS adoption enables lane-keeping, adaptive cruise control, and emergency braking to rely on AI-powered processors and sensor fusion chips. CARNIQ Technologies secures the auto industry by embedding compliance-driven cybersecurity into development lifecycles. German startup CARNIQ Technologies enhances vehicle cybersecurity through web-based and AI-powered tools that ensure compliance with automotive standards.
They further assist with management, maintenance, and repair appointments, as well as streamlining operations. Voice search assistants help optimize interfaces for advertisements and voice search queries. For the eighth time, we asked managers and decision-makers in the automotive industry which trends and developments they are currently focusing on. The automotive industry report of the Future Readiness Monitor 2025 provides differentiated insights into strategies, challenges and fields of action in the industry. The trends in automobile industry and startups outlined in this report only scratch the surface of automotive innovations that we identified during our in-depth research. Identifying new opportunities and emerging technologies to implement into your business early on goes a long way in gaining a competitive advantage.
In parallel, the startup offers carAISuite, an AI-driven tool that automates engineering and compliance activities. It enables systematic results in cybersecurity, functional safety, and process conformance. In addition, the startup strengthens automotive cybersecurity with features such as real-time intrusion detection and automated containment protocols.
Cube Intelligence builds Blockchains for Autonomous Vehicles
Hungarian startup V2ROADS offers a range of products and services tailored to the V2X ecosystem. They provide V2X applications, services, and communication stacks specifically designed for on-board units (OBUs) and road-side units (RSUs). Further, its V2X-cloud system implementation guarantees uninterrupted connectivity between vehicles and infrastructure. Finally, its V2AP (V2X Integration Platform) is a server-side software to amplify V2X services to elevate road safety and efficiency.
Chip shortages remain a major thorn in automotive’s side
As urban areas grow more congested, the focus is shifting from traditional car ownership to mobility-as-a-service (MaaS) models. Fleet-as-a-Service (FaaS) solutions, particularly autonomous fleets, are set to transform how people navigate cities. By 2025, nearly all new vehicles are expected to feature advanced connectivity options, integrating aspects of digital life directly into driving experiences. Such advancements align with global trends favoring autonomous fleet deployment in urban areas, positioning automakers to meet future demand for self-driving capabilities. Most consumers today are much more concerned with what the in-cabin experience is going to be, than the size and power of the engine. Global economic slowdowns and fierce competition from Chinese manufacturers have slowed the growth of EVs.
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