Dublin, Sept. 01, 2025 (GLOBE NEWSWIRE) — The “Automotive AI Market by Offerings (Compute, Memory, Software), Level of Autonomy (L1, L2, L3, L4, L5), Technology (Deep Learning, ML, Computer Vision, Context-aware Computing, NLP), Application (ADAS, Infotainment, Telematics) – Global Forecast to 2030” has been added to ResearchAndMarkets.com’s offering.

The report segments the automotive AI market based on offerings (hardware, software), architecture types, autonomy levels, technologies, and applications like ADAS and infotainment systems. It covers market drivers, restraints, opportunities, and challenges, offering a thorough view across North America, Europe, Asia-Pacific, and RoW. The study also provides an ecosystem analysis of key players.

The market is composed of leading players such as Tesla, NVIDIA Corporation, Mobileye, Qualcomm Technologies, Advanced Micro Devices, and more. Comprehensive competitive analysis includes profiles, recent developments, and market strategies of these companies.

The automotive AI market is anticipated to grow significantly, expanding from USD 18.83 billion in 2025 to USD 38.45 billion by 2030, at a CAGR of 15.3%. This growth is largely driven by the advent of autonomous vehicles that leverage AI for key functionalities such as perception, navigation, and decision-making in real time. The increasing levels of autonomy in the automotive industry are augmenting the demand for intelligent systems. Moreover, as in-vehicle data proliferates through sensors, cameras, and connected systems, there is an escalating need for AI-driven analytics to boost safety, efficiency, and personalization.

Hardware Segment on a High Growth Trajectory

The hardware segment is expected to experience the highest growth rate within the automotive AI market. This surge is attributed to the integration of advanced sensors, AI accelerators, and high-performance computing chips essential for autonomous driving systems and intelligent features in vehicles. As cars transform into data-heavy platforms, there is an escalating demand for robust hardware infrastructure, including GPUs, ASICs, FPGAs, and edge AI chips, designed to process real-time data from diverse sensors. Furthermore, the shift towards software-defined vehicles is propelling automakers to implement powerful domain controllers and centralized computing systems.

Dominance of Computer Vision Technology

Computer vision technology is projected to hold a significant market share in 2025 due to its crucial role in enabling real-time environmental perception, vital for autonomous driving and advanced driver assistance systems (ADAS). This technology facilitates functionalities like lane detection, pedestrian recognition, and traffic sign identification by processing visual data from vehicle cameras and sensors. As automobile intelligence and safety regulations worldwide become more stringent, OEMs and Tier 1 suppliers are investing vigorously in computer vision systems to enhance vehicle awareness and decision-making capabilities.

European Market Influence

Europe is poised to be the second-largest market for automotive AI by 2025, owing to its robust automotive manufacturing foundation, rigorous safety and emissions standards, and early adoption of driver assistance and autonomous driving technologies. Germany, France, and the UK stand out as key players, with OEMs and Tier-1 suppliers actively integrating AI into automotive platforms to improve safety, energy efficiency, and the in-cabin experience. The region’s focus on premier, electric, and software-defined vehicles is significantly boosting the demand for AI-driven functions.

Key Advantages of the Report:

• Understanding main drivers and opportunities in the automotive AI market.
• Insights on service development, including upcoming technologies and product launches.
• Identification of lucrative markets and area-wise growth potential.
• Comprehensive competitive assessments and detailed insights into key industry players.

Key Attributes

Market Dynamics

• Drivers
  • Growing Adoption of ADAS Technology by OEMs
  • Rising Demand for Enhanced User Experience and Convenience Features
  • Emerging Trend of Autonomous Vehicles
  • Growing Volume of In-Vehicle Data
• Restraints
  • Increase in Overall Cost of Vehicles
  • Threat to Vehicle-Related Cybersecurity
  • Inability to Identify Human Signals
• Opportunities
  • Increasing Demand for Premium Vehicles
  • Growing Need for Sensor Fusion
  • High Potential of In-Car Payments
• Challenges
  • Limited Real-World Testing and Validation Frameworks
  • AI Model Explainability and Trust Issues

Case Study Analysis

• Honda Motor Co. Ltd. – Accelerating Knowledge Transfer with Generative AI, Slashing Documentation Time by 67%
• eCarX – Revolutionizing In-Vehicle Experience with AMD-Powered Immersive Digital Cockpit Platform
• Subaru Corporation – Elevating Eyesight ADAS with AMD-Versal AI Edge Gen 2 for Smarter, Safer Driving

Companies Profiled

• Tesla
• Nvidia Corporation
• Mobileye
• Qualcomm Technologies, Inc.
• Advanced Micro Devices, Inc.
• Alphabet Inc.
• Aptiv
• Micron Technology, Inc.
• Microsoft
• IBM
• Nauto
• Aurora Operations, Inc.
• Wayve
• Nuro, Inc.
• Pony.AI
• Helm.AI
• Tactile Mobility
• Deeproute.AI
• Cognata
• Nullmax
• Comma.AI
• Motional, Inc.
• Oxa Autonomy Limited
• Imagry Autonomous Driving Software Company
• Applied Intuition, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/xmx5a0

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

• Automotive Artificial Intelligence (AI) Market

With the rapid advancement of generative artificial intelligence (GenAI), teachers have been thrust into a new and ever-shifting classroom reality.

The public, including many students, now has widespread access to GenAI tools and large language models (LLMs). Students sometimes use these tools with schoolwork. School boards have taken different approaches to regulating or integrating tech in classrooms. Teachers, meanwhile, find themselves responding to these paradigm shifts while juggling student needs and wider expectations.

The Canadian Teachers’ Federation (CTF) has called on the federal government and the Council of Ministers of Education, Canada to work with provinces and territories to enact enforceable policies that protect student privacy and data security, regulate how AI is used in classrooms and promote responsible and ethical use of AI systems.

The federation acknowledges AI tools have the potential to enhance teaching and learning; it also express concern about regulatory gaps that leave students exposed to risks like data breaches, algorithmic bias and decline in education standards.

As researchers whose combined work focuses on professional learning and AI in education, as well as professional practice standards and innovations in education, we believe commitments are needed not just in the form of policies, but also procedures and practices which develop AI competencies for teachers. We argue these should span both initial teacher education programs and ongoing professional learning.

À lire aussi :
Cyberattack affecting school boards spotlights the need for better EdTech regulation in Ontario and beyond

Many questions raised for teachers

AI raises many questions about the purpose of education, including questions around academic integrity and how education can uphold fairness and equity. Questions include:

Teachers are uniquely positioned to help guide students as they grapple with the existential and social implications of AI alongside practical concerns for their own and students’ futures. Teachers cannot face this complex challenge alone — they need support and to feel skilled and empowered to fulfil this important role.

Empowering teachers

There’s a growing international consensus echoed by calls to action that teachers are essential players as learners develop AI literacy.

The CTF calls for the role of teachers “in creating caring, human-centred classrooms” to be prioritized “in all AI policy development to ensure Canadian students enjoy their right to a quality education.”

As provinces establish their own recommended approaches around AI and education, education and government agencies are partnering to support innovation and programs for the development of AI literacy.

Guidance created through government, research and not-for profit tech partnerships or tech company partnerships can also be consulted.

Despite growing resources, the development of AI technology continues to outpace implementation support and essential training for teachers. This widening gap between teacher competencies and the demands of an AI-infused classroom is unsustainable.

This is not merely about keeping pace with technology; it’s about equipping teachers to guide the next generation in a world transformed by AI.

Equipping teachers

A holistic approach to prepare teachers for different issues at stake with AI-enhanced classrooms is needed.

Teachers need:

1. Supported forums to address critical awareness of AI’s impacts: Teacher education and professional development spaces could allow forums for teachers to address issues such as: helping students examine AI’s societal impacts, including the ethics of AI use; environmental concerns; privacy concerns, misinformation, labour displacement and bias; how AI works within social media algorithms; personalized advertising; social-emotional support chatbots. These conversations are central to AI literacy.

À lire aussi :
Google is rolling out its Gemini AI chatbot to kids under 13. It’s a risky move

2. Foundational knowledge of AI: Teachers need a baseline understanding of how AI works, including its limitations, biases and design. They don’t need to be computer scientists, but they do need to be aware of what tools are available to them, learn how to make informed pedagogical and ethical choices about potentially using AI and understand how to use tools.

3. To be equipped with strategies to meaningfully integrate AI into teaching and learning, which requires asking why and when to integrate AI in learning.

4. Design-based professional learning: teachers need time and space to learn from each other. AI is evolving quickly, and teachers need professional learning communities where they can share ideas, design and test new approaches, and reflect on their experiences. Effectively using GenAI tools requires varied knowledge. Research-practice partnerships where researchers and practitioners work together, and professional learning that is responsive to teachers’ specific contexts and practices hold promise for developing AI competencies. This could look like using AI as a professional learning tool to design activities that foster creativity or exploring using AI to support differentiated learning and promote inquiry.

By empowering teachers with skills and confidence in AI use, they can continue to guide students and shape students’ critical and responsible engagement with this technology.

A shared responsibility

Teachers cannot do this alone. Successfully integrating AI into education requires a concerted and collaborative effort from all stakeholders within the educational ecosystem. This vital partnership includes governing bodies, school boards and school leaders and teachers and researchers, who are instrumental in leading this transformation.

Together, these partners can help establish clear, strategic mandates for AI integration and dedicate robust funding for essential tools and comprehensive training and research to foster innovative spaces where educators and researchers can experiment and study practices.

Research is needed to assess the broader effects of AI use, for example, on critical thinking and cognitive offloading, to evaluate and understand the impacts of this technology in education. Supports are needed to ensure that AI adoption is not haphazard, but strategic and equitable across all jurisdictions.

Implementation should also consider teacher burnout and the existing responsibilities that teachers carry. What can be removed, and what robust supports can be provided so teachers can take this on without compromising their well-being or effectiveness?

Professional learning for educational uses of AI is already taking root through informal peer-to-peer networks and diverse formal experiences. These include academic institutions, bodies like the not-for-profit organizations International Society for Technology in Education or the Alberta Machine Intelligence Institute
and charitable organization Let’s Talk Science among many others. These existing pathways can be leveraged and scaled with targeted support to bridge the current preparation gap.

It’s time for policymakers to recognize that investing in teachers is one of the most powerful ways we can invest in our students and in a better future for all of us.

Meta said it will introduce more guardrails to its artificial intelligence (AI) chatbots – including blocking them from talking to teens about suicide, self-harm and eating disorders.

It comes two weeks after a US senator launched an investigation into the tech giant after notes in a leaked internal document suggested its AI products could have “sensual” chats with teenagers.

The company described the notes in the document, obtained by Reuters, as erroneous and inconsistent with its policies which prohibit any content sexualising children.

But it now says it will make its chatbots direct teens to expert resources rather than engage with them on sensitive topics such as suicide.

“We built protections for teens into our AI products from the start, including designing them to respond safely to prompts about self-harm, suicide, and disordered eating,” a Meta spokesperson said.

The firm told tech news publication TechCrunch on Friday it would add more guardrails to its systems “as an extra precaution” and temporarily limit chatbots teens could interact with.

But Andy Burrows, head of the Molly Rose Foundation, said it was “astounding” Meta had made chatbots available that could potentially place young people at risk of harm.

“While further safety measures are welcome, robust safety testing should take place before products are put on the market – not retrospectively when harm has taken place,” he said.

“Meta must act quickly and decisively to implement stronger safety measures for AI chatbots and Ofcom should stand ready to investigate if these updates fail to keep children safe.”

Meta said the updates to its AI systems are in progress. It already places users aged 13 to 18 into “teen accounts” on Facebook, Instagram and Messenger, with content and privacy settings which aim to give them a safer experience.

It told the BBC in April these would also allow parents and guardians to see which AI chatbots their teen had spoken to in the last seven days.

The changes come amid concerns over the potential for AI chatbots to mislead young or vulnerable users.

A California couple recently sued ChatGPT-maker OpenAI over the death of their teenage son, alleging its chatbot encouraged him to take his own life.

The lawsuit came after the company announced changes to promote healthier ChatGPT use last month.

“AI can feel more responsive and personal than prior technologies, especially for vulnerable individuals experiencing mental or emotional distress,” the firm said in a blog post.

Meanwhile, Reuters reported on Friday Meta’s AI tools allowing users to create chatbots had been used by some – including a Meta employee – to produce flirtatious “parody” chatbots of female celebrities.

Among celebrity chatbots seen by the news agency were some using the likeness of artist Taylor Swift and actress Scarlett Johansson.

Reuters said the avatars “often insisted they were the real actors and artists” and “routinely made sexual advances” during its weeks of testing them.

It said Meta’s tools also permitted the creation of chatbots impersonating child celebrities and, in one case, generated a photorealistic, shirtless image of one young male star.

Several of the chatbots in question were later removed by Meta, it reported.

“Like others, we permit the generation of images containing public figures, but our policies are intended to prohibit nude, intimate or sexually suggestive imagery,” a Meta spokesperson said.

They added that its AI Studio rules forbid “direct impersonation of public figures”.