GITNUX MARKETDATA REPORT 2024

AI In The Car Industry Statistics

AI in the car industry is expected to lead to increased vehicle safety, improved fuel efficiency, and enhanced autonomous driving capabilities.

Highlights: Ai In The Car Industry Statistics

  • As per 2020 reports, global AI in the auto market expected to hit $12 billion by 2026.
  • The use of AI could lower traffic fatalities by 90%.
  • 77% of consumers will use AI-powered information and communication systems.
  • The global advanced driver assistance system (ADAS), which ideally uses AI, is going to reach $91.83 Billion by 2025.
  • The use of AI in vehicles could generate a global profit pool of about 65 billion Euros by 2025.
  • AI technology in the automobile industry is projected to reduce the manufacturing costs by 20% by 2023.
  • Roughly 87% of companies involved in AI and IoT reported success on projects in these areas.
  • 37% of Britons trust AI to perform better in a car than a human.
  • According to a Capgemini study, auto organizations implementing AI have grown from 7% in 2017 to 10% in 2019.
  • Over 70% of customers are willing to pay more for full automation and AI in vehicles.
  • The use of AI in autonomous vehicles can result in 40% lower CO2 emissions by 2030.
  • Mobility as a Service (MaaS) platforms, powered by AI, may capture a third of all global vehicle miles by 2040.
  • By 2035, AI-based systems in cars are expected to become the most significant differentiator.
  • Global AI-powered storage market in automotive is expected to grow from USD 1.9 billion in 2020 to USD 13.0 billion by 2025.
  • 50% of automotive companies believe that to achieve full AI benefits, algorithms must understand and learn from the content.

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The Latest Ai In The Car Industry Statistics Explained

As per 2020 reports, global AI in the auto market expected to hit $12 billion by 2026.

This statistic indicates that the global artificial intelligence (AI) market within the automotive industry is projected to reach $12 billion by the year 2026 based on the 2020 reports. This growth forecast suggests a significant increase in the adoption and integration of AI technologies in various aspects of the automotive sector, such as autonomous driving, predictive maintenance, and smart manufacturing. The expanding use of AI in automobiles is expected to enhance safety, efficiency, and overall performance, leading to advancements in vehicle technology and a transformation of the driving experience for consumers worldwide.

The use of AI could lower traffic fatalities by 90%.

The statistic that the use of AI could lower traffic fatalities by 90% suggests that implementing artificial intelligence technology in transportation systems could potentially lead to a significant decrease in the number of deaths resulting from traffic accidents. AI has the capability to enhance road safety through features such as automated driving systems, real-time monitoring, and predictive analytics, which can help prevent human errors and improve overall traffic management. By leveraging AI, road infrastructure can be modernized and optimized for efficiency, ultimately resulting in a drastic reduction in the number of fatalities on the roads. However, it is important to consider various factors such as technological advancements, regulatory frameworks, and societal acceptance in order to fully realize the potential impact of AI on traffic safety.

77% of consumers will use AI-powered information and communication systems.

The statistic ‘77% of consumers will use AI-powered information and communication systems’ indicates that a significant majority of consumers are likely to adopt and utilize artificial intelligence technology for accessing information and communicating. This high percentage suggests a growing trend towards AI integration into everyday consumer activities. As AI technologies continue to advance and improve in user-friendliness and efficiency, consumers are increasingly willing to embrace them for various tasks and interactions. This statistic highlights the increasing acceptance and reliance on AI-powered systems in the consumer market, reflecting a shift towards more automated and intelligent solutions in information retrieval and communication processes.

The global advanced driver assistance system (ADAS), which ideally uses AI, is going to reach $91.83 Billion by 2025.

The statistic in question indicates that the global market for advanced driver assistance systems (ADAS), which integrates AI technology, is projected to grow and reach a total value of $91.83 billion by the year 2025. This growth is driven by increasing demand for innovative technologies that enhance vehicle safety, efficiency, and overall driving experience. ADAS systems utilize artificial intelligence to enable functionalities such as adaptive cruise control, lane departure warning, automatic emergency braking, and other automated driving features. With advancements in AI and technological capabilities, the market for ADAS is expected to expand considerably in the coming years, as more vehicles are equipped with these advanced systems to improve safety and convenience for drivers and passengers worldwide.

The use of AI in vehicles could generate a global profit pool of about 65 billion Euros by 2025.

This statistic suggests that the integration of artificial intelligence (AI) technologies in vehicles has the potential to create significant economic benefits, with an estimated global profit pool of around 65 billion Euros projected by 2025. The use of AI in vehicles can enhance safety features, improve driving efficiency, and enable advanced functionalities such as autonomous driving. This forecasted profit pool represents the financial gains that companies in the automotive industry and related sectors could potentially achieve through the development, deployment, and adoption of AI-driven technologies in vehicles. As AI continues to evolve and play a more prominent role in the automotive sector, it is expected to drive innovation, transform the driving experience, and unlock new revenue streams for businesses operating in this space.

AI technology in the automobile industry is projected to reduce the manufacturing costs by 20% by 2023.

The statistic indicates that the implementation of AI technology in the automobile industry is expected to lead to a significant reduction in manufacturing costs by 20% by the year 2023. This suggests that by integrating artificial intelligence into various processes such as production, supply chain management, and quality control, car manufacturers are likely to optimize their operations, enhance efficiency, and ultimately lower their production expenses. The projected cost reduction serves as a promising indication of the potential benefits of AI technology for the automobile industry in terms of improving cost-effectiveness and competitiveness in the market.

Roughly 87% of companies involved in AI and IoT reported success on projects in these areas.

The statistic “Roughly 87% of companies involved in AI and IoT reported success on projects in these areas” suggests a high rate of project success among companies engaged in artificial intelligence (AI) and the Internet of Things (IoT). This figure implies that a large majority of organizations leveraging AI and IoT technologies have achieved their intended goals and outcomes in their projects. The statistic indicates strong performance and effectiveness in implementing AI and IoT initiatives, highlighting the potential benefits and value that these technologies can bring to businesses. Overall, the high success rate reported by these companies reflects a positive trend in the adoption and utilization of AI and IoT in driving innovation, efficiency, and growth across various industries.

37% of Britons trust AI to perform better in a car than a human.

This statistic suggests that a significant minority of Britons, 37%, have confidence in artificial intelligence (AI) systems to outperform humans when it comes to driving a car. This level of trust in AI technologies indicates a growing acceptance and belief in the capabilities of automated driving systems, potentially due to advancements in AI technology, perceivable safety benefits, or experiences with current driver-assistance features in vehicles. The statistic highlights a shift towards embracing AI as a viable and capable alternative to human drivers, hinting at potential changes in attitudes towards transportation technology and its adoption in the future.

According to a Capgemini study, auto organizations implementing AI have grown from 7% in 2017 to 10% in 2019.

The statistic indicates that there has been a notable increase in the adoption of artificial intelligence (AI) technology within the auto industry over the span of two years, based on a study conducted by Capgemini. Specifically, the percentage of auto organizations implementing AI has seen a growth from 7% in 2017 to 10% in 2019. This suggests a trend towards greater integration of AI-driven solutions within the operations of auto companies, potentially in areas such as manufacturing, supply chain management, predictive maintenance, and customer service. The increasing adoption of AI in the auto sector may be driven by the industry’s recognition of the potential benefits, including improved efficiency, cost savings, enhanced decision-making capabilities, and the ability to stay competitive in a rapidly evolving market landscape.

Over 70% of customers are willing to pay more for full automation and AI in vehicles.

The statistic ‘Over 70% of customers are willing to pay more for full automation and AI in vehicles’ indicates a high level of consumer interest and acceptance towards advanced technology in the automotive industry. This finding suggests that a significant majority of customers value the convenience, safety, and potential advantages that come with features such as full automation and artificial intelligence in vehicles. The willingness to pay more for these technologies further implies that customers see them as desirable amenities that add value to their driving experience, reflecting a shift towards a more tech-savvy and innovation-driven consumer mindset in the automotive market. Overall, this statistic underscores a growing demand for advanced automation and AI solutions in vehicles among consumers.

The use of AI in autonomous vehicles can result in 40% lower CO2 emissions by 2030.

The statistic stating that the use of artificial intelligence (AI) in autonomous vehicles can lead to a 40% reduction in CO2 emissions by 2030 highlights the potential environmental benefits of incorporating advanced technology in transportation systems. AI-enabled autonomous vehicles are designed to optimize routes, reduce traffic congestion, improve fuel efficiency, and enhance overall vehicle performance through real-time data analysis and decision-making. By leveraging AI algorithms for more efficient driving patterns and energy management, autonomous vehicles have the capability to significantly decrease greenhouse gas emissions associated with traditional vehicles. This statistic underscores the promising role that AI technology can play in promoting sustainability and combating climate change in the transportation sector.

Mobility as a Service (MaaS) platforms, powered by AI, may capture a third of all global vehicle miles by 2040.

This statistic suggests that Mobility as a Service (MaaS) platforms, leveraging artificial intelligence (AI) technology, have the potential to significantly disrupt the transportation industry by 2040. It predicts that these advanced platforms could account for approximately one-third of all global vehicle miles traveled, indicating a substantial shift in the way people access and use transportation services. MaaS platforms offer integrated, on-demand mobility solutions that utilize AI algorithms to optimize routes, schedules, and pricing, making transportation more efficient and convenient for consumers. This forecast underscores the growing importance and potential impact of technology-driven innovations in reshaping the future of transportation and urban mobility.

By 2035, AI-based systems in cars are expected to become the most significant differentiator.

The statistic ‘By 2035, AI-based systems in cars are expected to become the most significant differentiator’ indicates that artificial intelligence technologies implemented in vehicles will play a crucial role in distinguishing automotive brands and models from one another. As advancements in AI continue to evolve rapidly, these systems are anticipated to revolutionize the driving experience by improving safety, efficiency, and convenience. By the year 2035, it is estimated that the integration of AI-based features, such as autonomous driving capabilities, predictive maintenance, and intuitive user interfaces, will become a primary selling point for car manufacturers as they compete to offer the most innovative and superior driving experiences to consumers.

Global AI-powered storage market in automotive is expected to grow from USD 1.9 billion in 2020 to USD 13.0 billion by 2025.

The statistic provided indicates that the global market for artificial intelligence (AI)-powered storage solutions in the automotive industry is projected to experience significant growth over the next five years. It is estimated to increase from USD 1.9 billion in 2020 to USD 13.0 billion by 2025. This growth suggests a substantial rise in the adoption of AI technologies within the automotive sector, particularly in the storage systems that leverage AI for enhanced functionality and performance. The increase in market size reflects the industry’s recognition of the benefits of AI-powered storage solutions, such as improved data management, processing speed, and efficiency, driving the demand for such products in the automotive market.

50% of automotive companies believe that to achieve full AI benefits, algorithms must understand and learn from the content.

The statistic that “50% of automotive companies believe that to achieve full AI benefits, algorithms must understand and learn from the content” indicates the importance placed by half of the automotive industry on the capability of artificial intelligence (AI) algorithms to comprehend and learn from data. This suggests a recognition within the sector that simply processing data is insufficient for realizing the full potential of AI technology. Instead, there is a strong emphasis on ensuring that algorithms possess the ability to interpret and derive insights from the content they analyze, highlighting a desire for AI systems to evolve beyond basic pattern recognition towards more advanced cognitive functions in order to fully leverage the benefits that AI can offer in automotive applications.

References

0. – https://www.digital-strategy.ec.europa.eu

1. – https://www.www.grandviewresearch.com

2. – https://www.www.statista.com

3. – https://www.relayr.io

4. – https://www.www.pwc.de

5. – https://www.www.researchandmarkets.com

6. – https://www.www.mckinsey.com

7. – https://www.www.futurebridge.com

8. – https://www.ec.europa.eu

9. – https://www.news.sky.com

10. – https://www.www.capgemini.com

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

12. – https://www.www.prnewswire.com

13. – https://www.www.globenewswire.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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