GITNUX MARKETDATA REPORT 2024

Ai In The Automobile Industry Statistics

AI in the automobile industry is expected to drive innovation, improve efficiency, and enhance safety in vehicles.

Highlights: Ai In The Automobile Industry Statistics

  • 77% of consumers will use AI platforms to detect any car issues.
  • 50% of automotive companies are investing over $20 million annually in AI.
  • AI could potentially generate a $300 billion cost reduction across the automotive industry.
  • The autonomous vehicles market is projected to be worth around $65 billion by 2027.
  • About 10 million self-driving cars will hit the road by 2020.
  • 85% of vehicles will be AI-connected by 2025.
  • 74% of customer expectations will be automated by 2020.
  • AI-related automotive patents increased by 330% between 2013 and 2017.
  • Top automotive manufacturers such as Toyota and Ford have each invested over $1 billion in AI.
  • AI-powered voice assistants are expected to increase five-fold from 2018-2023 in the automotive industry.
  • The applications of AI in automotive manufacturing are expected to generate $215 billion by 2025.
  • The percent of car parts manufactured using AI and robotics is expected to reach 80% by 2025.
  • AI is expected to lower operating costs in the automotive industry by 25%.
  • The market for AI-powered car sensors is expected to reach a $26.5 billion revenue by 2025.
  • Automotive companies expect AI to represent more than $150 billion in annual savings by 2025.
  • A joint survey by Capgemini and Audi found that 70% of customers want AI in cars.
  • Autonomous cars, heavily reliant on AI, are expected to create a global market of nearly $7 trillion by 2050.

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The Latest Ai In The Automobile Industry Statistics Explained

77% of consumers will use AI platforms to detect any car issues.

The statistic indicates that a significant majority, specifically 77% of consumers, are inclined to utilize artificial intelligence (AI) platforms to identify potential issues with their cars. This suggests a growing acceptance and trust in AI technology within the automotive industry among consumers. By leveraging AI platforms, individuals can proactively monitor the health of their vehicles, potentially decreasing the likelihood of unexpected breakdowns or costly repairs. The statistic underscores the increasing integration of advanced technologies in the realm of car maintenance and reflects a shift towards more tech-savvy and proactive approaches to vehicle care among the general population.

50% of automotive companies are investing over $20 million annually in AI.

The statistic that 50% of automotive companies are investing over $20 million annually in artificial intelligence (AI) indicates a significant trend within the automotive industry towards adopting advanced technological solutions for various applications. This statistic suggests that a large proportion of automotive companies recognize the potential benefits of AI and are willing to make substantial financial investments in its development and integration into their operations. The high level of investment in AI by automotive companies likely reflects a strategic approach to staying competitive in a rapidly evolving industry where technology plays an increasingly important role in driving innovation, improving efficiency, and ultimately enhancing the overall customer experience.

AI could potentially generate a $300 billion cost reduction across the automotive industry.

The statistic suggests that the implementation of Artificial Intelligence (AI) within the automotive industry has the potential to result in a substantial cost reduction of $300 billion. This cost reduction is likely to be achieved through various AI applications such as predictive maintenance, autonomous driving technology, supply chain optimization, and efficiency improvements in manufacturing processes. By harnessing AI’s capabilities for data analytics, real-time decision-making, and automation, automotive companies can streamline operations, improve productivity, reduce waste, and ultimately save significant expenses. This statistic highlights the transformative impact that AI technologies can have on the automotive sector in terms of driving efficiency, cutting costs, and enhancing competitiveness in the market.

The autonomous vehicles market is projected to be worth around $65 billion by 2027.

The statistic indicates that the autonomous vehicles market is anticipated to grow significantly in value, reaching around $65 billion by the year 2027. This projection suggests a promising future for the autonomous vehicle industry, driven by advancements in technology, increasing demand for self-driving vehicles, and potential regulatory support. The substantial market value forecasted for 2027 reflects the transformative impact that autonomous vehicles are expected to have on various sectors such as transportation, logistics, and automotive industries. This statistic underscores the potential economic opportunities and growth prospects associated with the development and adoption of autonomous vehicles in the coming years.

About 10 million self-driving cars will hit the road by 2020.

The statistic “About 10 million self-driving cars will hit the road by 2020” indicates a projected increase in the number of autonomous vehicles on the roads worldwide by the year 2020. This forecast suggests a significant advancement in self-driving technology adoption and manufacturing as several companies continue to invest in developing and deploying autonomous vehicles. The proliferation of self-driving cars could potentially revolutionize the transportation industry, offering benefits such as increased safety, efficiency, and reduced traffic congestion. However, this statistic also raises questions around regulatory frameworks, infrastructure readiness, and societal implications of widespread autonomous vehicle use.

85% of vehicles will be AI-connected by 2025.

The statistic that 85% of vehicles will be AI-connected by 2025 suggests that a significant majority of vehicles on the road will be equipped with artificial intelligence technology that enables connectivity and advanced functionalities. This indicates a rapid adoption of AI-driven capabilities in the automotive industry, including features such as autonomous driving, predictive maintenance, and enhanced safety systems. The widespread integration of AI in vehicles by 2025 highlights the continued evolution of transportation technology towards smarter, more efficient, and interconnected systems that have the potential to revolutionize the driving experience and reshape the automotive landscape.

74% of customer expectations will be automated by 2020.

This statistic suggests that by the year 2020, automation technologies are expected to handle approximately 74% of customer expectations, likely referring to tasks and processes traditionally carried out by human customer service representatives. This automation can involve various technologies, such as chatbots, artificial intelligence, and self-service platforms that are designed to effectively address customer needs, inquiries, and concerns without direct human intervention. As businesses strive to enhance efficiency, streamline operations, and improve customer experience, this statistic highlights the growing reliance on automation to handle a significant portion of customer interactions in order to meet evolving consumer demands and expectations.

AI-related automotive patents increased by 330% between 2013 and 2017.

The statistic “AI-related automotive patents increased by 330% between 2013 and 2017” indicates a substantial growth in the number of patents related to artificial intelligence (AI) within the automotive industry during the specified time frame. This significant increase suggests a rising emphasis and investment in AI technologies within the automotive sector, likely driven by the growing interest in autonomous vehicles, enhanced driver-assist systems, and other AI applications aimed at improving vehicle performance, safety, and efficiency. The surge in AI-related patents also underscores the industry’s evolution towards incorporating more advanced technologies to meet consumer demands, enhance competitiveness, and drive innovation in the rapidly evolving automotive market.

Top automotive manufacturers such as Toyota and Ford have each invested over $1 billion in AI.

The statistic that top automotive manufacturers such as Toyota and Ford have each invested over $1 billion in artificial intelligence (AI) suggests a significant shift towards integrating advanced technologies in the automotive industry. This level of investment highlights the increasing importance placed on AI for improving vehicle performance, safety features, manufacturing processes, and autonomous driving capabilities. By allocating substantial financial resources to AI research and development, companies like Toyota and Ford are positioning themselves at the forefront of innovation and signaling their commitment to staying competitive in an industry undergoing rapid technological transformation. This investment underscores the growing recognition of the potential benefits that AI can bring to the automotive sector, such as enhancing efficiency, reducing costs, and enhancing the overall driving experience for consumers.

AI-powered voice assistants are expected to increase five-fold from 2018-2023 in the automotive industry.

This statistic indicates that the deployment and utilization of AI-powered voice assistants in the automotive industry are projected to grow significantly over the period from 2018 to 2023. Specifically, the number of vehicles equipped with AI voice assistants is anticipated to increase by five times during this timeframe. This demonstrates a substantial shift towards integrating advanced technology into vehicles to enhance the driver and passenger experience, improve convenience, and increase overall safety. The rising adoption of AI voice assistants in cars reflects the industry’s ongoing efforts to leverage artificial intelligence to create more intelligent and interactive vehicles that cater to the evolving needs and preferences of consumers.

The applications of AI in automotive manufacturing are expected to generate $215 billion by 2025.

The statistic indicates that the integration of artificial intelligence (AI) technologies in automotive manufacturing processes is projected to create a market worth $215 billion by the year 2025. This suggests a significant economic potential for AI applications in streamlining and improving various aspects of automotive manufacturing, such as supply chain management, production efficiency, quality control, and product development. The anticipated growth in this sector highlights the increasing reliance on AI-driven solutions to enhance performance, innovation, and cost-effectiveness within the automotive industry, paving the way for more advanced, automated, and intelligent manufacturing practices.

The percent of car parts manufactured using AI and robotics is expected to reach 80% by 2025.

The statistic indicates that the proportion of car parts manufactured through the utilization of artificial intelligence (AI) and robotics is projected to increase to 80% by the year 2025. This suggests that there is a growing trend within the automotive industry towards automation and the integration of advanced technologies like AI and robotics in the manufacturing process. This shift is likely driven by the benefits of increased efficiency, precision, and cost-effectiveness that automation can offer in producing car parts. The statistic highlights a significant transformation occurring in the industry, emphasizing the increasing role of technology in shaping the future of car manufacturing processes.

AI is expected to lower operating costs in the automotive industry by 25%.

The statistic suggesting that artificial intelligence (AI) is projected to reduce operating costs in the automotive industry by 25% indicates a significant potential for cost savings through the implementation of AI technologies. By leveraging AI to optimize various aspects of operations such as production processes, supply chain management, predictive maintenance, and quality control, automakers are anticipated to achieve a substantial reduction in their overall operational expenditure. This efficiency gain is likely to result from improved productivity, streamlined workflows, enhanced automation, and more accurate decision-making driven by AI algorithms. Ultimately, the forecast of a 25% decrease in operating costs highlights the transformative impact that AI can have on increasing cost-effectiveness and competitiveness within the automotive sector.

The market for AI-powered car sensors is expected to reach a $26.5 billion revenue by 2025.

The statistic that the market for AI-powered car sensors is projected to generate $26.5 billion in revenue by 2025 suggests significant growth and potential within the automotive technology industry. This statistic indicates a strong demand for advanced sensing technologies in vehicles, with artificial intelligence playing a key role in enhancing safety, efficiency, and automation within the automotive sector. The projected revenue amount signifies a substantial market opportunity for companies developing and manufacturing AI-powered car sensors, reflecting the increasing integration of cutting-edge technologies in modern vehicles to meet evolving consumer preferences and regulatory requirements. The anticipated growth in this market highlights the critical importance of AI and sensor technologies in driving innovation and advancement within the automotive industry.

Automotive companies expect AI to represent more than $150 billion in annual savings by 2025.

The statistic states that automotive companies anticipate that the implementation of artificial intelligence (AI) technologies will lead to cost savings of over $150 billion annually by the year 2025. This suggests that AI integration is projected to bring significant efficiency improvements and streamline operations within the automotive industry, resulting in substantial financial benefits. These savings are likely to be achieved through various AI applications such as predictive maintenance, autonomous driving technology, supply chain optimization, and improved manufacturing processes. Overall, the statistic highlights the growing importance and potential impact of AI in transforming the automotive sector towards a more cost-effective and innovative future.

A joint survey by Capgemini and Audi found that 70% of customers want AI in cars.

The statistic from a joint survey by Capgemini and Audi stating that 70% of customers want AI in cars suggests a strong consumer preference for artificial intelligence technology in automotive vehicles. This finding indicates a significant demand for AI-driven features and functionalities in cars, potentially reflecting a growing interest in advanced technologies that enhance the driving experience, improve safety, and provide convenience to users. The high percentage of customers expressing this desire highlights the potential market opportunity for automakers and technology companies to invest in developing and integrating AI-driven solutions into future vehicles to meet the evolving needs and preferences of consumers.

Autonomous cars, heavily reliant on AI, are expected to create a global market of nearly $7 trillion by 2050.

The statistic indicates the projected impact of autonomous cars, which utilize artificial intelligence technology, on the global market by the year 2050. The estimated market size of nearly $7 trillion reflects the anticipated economic value that autonomous vehicles are expected to generate within the transportation industry. This figure encompasses various aspects such as manufacturing, deployment, infrastructure development, software development, and associated services. The widespread adoption of autonomous cars is likely to revolutionize the automotive sector by improving road safety, reducing traffic congestion, and enhancing overall transportation efficiency. The significant market potential highlighted in the statistic underscores the growing importance of AI-driven technologies in shaping the future of transportation systems and their potential for substantial economic growth and investment opportunities.

References

0. – https://www.www.mordorintelligence.com

1. – https://www.telecom.economictimes.indiatimes.com

2. – https://www.www.capgemini.com

3. – https://www.emerj.com

4. – https://www.www.prnewswire.com

5. – https://www.www.fiormarkets.com

6. – https://www.www.automotiveworld.com

7. – https://www.www.businessinsider.com

8. – https://www.www.ificlaims.com

9. – https://www.www.juniperresearch.com

10. – https://www.www.strategyand.pwc.com

11. – https://www.www.dezyre.com

12. – https://www.www.mckinsey.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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