市场调查报告书
商品编码
1453674
汽车人工智慧市场评估:依交付、流程、技术、应用、组件、车辆类型和地区划分的机会和预测(2017-2031)Automotive Artificial Intelligence Market Assessment, By Offering, By Process, By Technology, By Application, By Component, By Vehicle Type By Region, Opportunities and Forecast, 2017-2031F |
全球汽车人工智慧市场规模将从2023年的30.2亿美元增长到2031年的135.8亿美元,2024年至2031年的预测期内复合年增长率为20.67%。
日益关注添加应用程式以改善客户体验正在推动市场成长。 自动驾驶汽车、语音控制和先进安全功能等概念也有望推动市场成长。 此外,将人工智慧整合到资讯娱乐系统中可以简化最终用户的体验。 不断扩大的製造工厂正在采用人工智慧来加快生产速度并减少人为错误。
改善安全动态以促进人工智慧的采用:
远端感应器、摄影机和其他组件与中央资讯娱乐系统集成,以提供车内即时监控。 人工智慧是自动驾驶汽车不可或缺的一部分,为包括乘客、驾驶员和汽车製造商在内的所有人提供舒适感。 自动驾驶汽车的语音辨识和控制单元由自然语言处理(NLP)和机器学习(ML)等人工智慧技术提供支援。 人工智慧除了在车辆开发的各个阶段发挥作用外,还将提供路径规划和导航支援。 这包括用于直接路线优化的定位、感知和避免碰撞。
连网汽车技术与预测性维护推动市场成长:
不断发展的互联汽车技术和生成式人工智慧的整合相辅相成,为汽车提供帮助。 部署 5G 的物联网架构将能够存取连续的互联网流,从而允许存取车辆通讯系统和其他线上服务。 这包括车对车 (V2V)、车对车 (V2I) 和车对车 (V2X)。 人工智慧随着网路连接以及从应用程式到汽车的连接而不断发展。
政府支持推动市场:
世界各国政府寻求各领域的创新和实验,并提供补助和投资来整合新技术。 人工智慧已经被用于透过与交通摄影机整合来执行交通规则。 政府正与科技巨头合作开发新技术。 此外,电动车的推广正在加速对人工智慧的需求,政府正在支持汽车製造商的製造流程。
本报告调查了全球汽车人工智慧市场,提供了市场定义和概述、市场规模趋势和预测、各个细分市场和地区的详细分析、行业结构以及影响市场成长的因素。案例研究、竞争格局。
Global automotive artificial intelligence market is projected to witness a CAGR of 20.67% during the forecast period 2024-2031, growing from USD 3.02 billion in 2023 to USD 13.58 billion in 2031. The higher focus on adding elements that elevate the customer experience is garnering market growth. Concepts like self-driving cars, voice controls, and advanced safety features are anticipated to propel the market growth. Furthermore, the integration of artificial intelligence with infotainment systems is putting ease into end-user experience. The expanding manufacturing space is adopting artificial intelligence to deliver faster production and lower human error.
Industry 4.0 and its components have transformed the manufacturing space and contributed to the automotive sector. However, artificial intelligence has become an active component of the automotive sector, from easing manufacturing to advancing advanced driver assistance systems (ADAS). The next phase of artificial intelligence deployment includes its integration with cloud technology for predictive maintenance and data monitoring procedures. Furthermore, AI has increased the vehicle security layers with its role in smart key systems, adaptive cruise control (ACC), and lane departure warning systems.
For instance, in December 2023, Nvidia Corporation and MediaTek allied to propel artificial intelligence in the automotive sector that transforms in-car experience and sets new standards for smart vehicles. MediaTek and Nvidia, two of the world's leading semiconductor companies, recently announced a strategic alliance to bring AI to the automotive industry.
Improved Safety Dynamics to Fuel the AI Adoption
The long-range sensors, cameras, and other components integrate with the central infotainment system to deliver real-time monitoring on-board. Artificial intelligence is an inseparable part of self-driving vehicles, and it unlocks comfort for all including passengers, drivers, and automobile manufacturers. The voice recognition and control units in autonomous vehicles are powered by AI technologies such as natural language processing (NLP) and machine learning (ML). Apart from AI's role in each stage of automotive development, path planning and navigation support is delivered through AI. It includes localization, perception, and collision avoidance to directly optimize the routes.
The utilization of artificial intelligence in the automotive sector enables personalized driving experiences, working as a bridge between human and machine technology to minimize errors and facilitate real-time information, prediction, and suggestions for the driver.
For instance, in May 2023, Huawei introduced its new ADAS platform named ADS 2.0 with a long range of improvements related to driving experience and safety. The new platform consists of hardware, new AI-powered features, and a timeline for NCA (Navigation Cruise Assist). It delivers improved map accuracy, enhanced safety, and human-like judgment and operation.
Connected Car Technology and Predictive Maintenance to Propel Market Growth
The evolving connected car technology and integration of generative AI complement each other and help the vehicles. The structure of the Internet of Things (IoT) with 5G deployments has access to a continuous stream of the Internet, enabling access to vehicle communication systems and other online services. It includes the vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-everything (V2X). Artificial intelligence has advanced due to internet connectivity and app-to-car connectivity.
Since AI leverages IoT in cars, it contributes to predictive maintenance in the industry. IoT systems help monitor real-time vehicle conditions by analyzing the massive amount of vehicle data, allowing managers to know when maintenance is needed. As soon as an IoT sensor detects a potential problem, it warns automobile managers to take preventative action before it becomes a major issue. In addition, AI helps reduce emissions, improve fuel efficiency, and enhance overall vehicle performance.
For instance, in December 2023, TomTom N.V. allied with Microsoft to bring generative AI to the automotive industry. The result of the partnership is a fully integrated conversational assistant powered by AI that improves voice interactions with infotainment and location search, as well as vehicle command systems. The result of TomTom's experience combined with Microsoft's cutting-edge AI technology enables drivers to engage in conversational conversations with their vehicles.
Government Support to Drive Automotive AI Market Size
Governments around the world seek innovation and experimentation in each sector. Hence, it provides subsidies and investments for new technological integrations. Artificial intelligence is already used in implementing traffic rules with its integration with traffic cameras. Governments collaborate with technological giants to develop new technology. Furthermore, the push for EV adoption has fuelled the demand for AI. The government supports automakers in their manufacturing process.
The government invests in major technological projects to boost green mobility and manufacturing projects to build sustainable automotive structures. The United Kingdom's Centre for Connected and Autonomous Vehicles (CCAV) invested USD 20.07 million to fund 13 different projects focusing on self-driving technologies, services, and products. The funding is part of the government's USD 54.25 million program to support green technology innovation, the economy, and job creation.
Self-Driving Cars and Steering Assistance Systems to Fuel Segmental Growth
Based on application, the autonomous driving segment is projected to hold a decent market share during the forecast period. The advent of the most popular vehicles with driving assist or autonomous control is fuelling segmental growth. To put it another way, autonomous driving parameters are determined by the level of control given to the AI. Technology companies and automakers are developing advanced AI systems, especially for driverless vehicles. Lidar, cameras, ultrasound sensors, and radar are a few of the sensors that self-driving cars use to collect data about their surroundings. AI algorithms then use that data to create detailed maps of the environment and make decisions.
For instance, in October 2023, oToBrite Electronics Inc. launched a comprehensive ADAS product portfolio for heavy commercial vehicles to help road safety towards vision zero. As heavy commercial vehicles (HTVs) are more likely to cause fatalities in vulnerable road user (VRU) collisions, the new European Union General Safety Regulation (GSR) has set high safety requirements.
Asia-Pacific Accelerates in Global Automotive AI Market
Based on region, Asia-Pacific is anticipated to thrive at an accelerated rate in the market. The growth is attributed to the record-breaking sales of advanced automobiles, and native brands launching new AI-based products, and systems. Furthermore, the higher adoption of electric vehicles along with the connected car technology is expected to fuel the demand for automotive artificial intelligence systems. The region's rapid growth is due to the increasing demand for luxury passenger cars, rising disposable income, and positive consumer sentiment towards artificial intelligence.
While Asia-Pacific grows at a faster rate, North America holds the largest share of the market due to the presence of major technological giants and automotive makers in the United States. The government supports innovative technology vendors along with auto giants like Tesla and Tata Motors. Rise in per capita income, cutting-edge automotive technology, and partnerships between vehicle manufacturers and AI tech providers are driving new market growth while boosting overall demand for AI in automotive solutions.
For instance, in January 2024, Intel Corporation announced that it is building an AI-enabled system-on-chip for next-generation cars. The company unveiled a new software-defined vehicle system-on-chip that is engineered to infuse AI properties into next-generation vehicles.
Future Market Scenario (2024 - 2031F)
Self-driving or autonomous vehicles are increasing the adoption of technologies like IoT and artificial intelligence in vehicles.
The advanced chip-based vehicle control systems for voice recognition and face recognition services are projected to transform the current market dynamic.
The advent of electric vehicles along with the higher demand for vehicles with higher ease and comfort is anticipated to expand the market size.
The human-machine interface (HMI), machine learning, and IoT (Internet of Things) are likely to reshape AI adoption in the automotive industry.
Key Players Landscape and Outlook
The competitive landscape for the automotive artificial intelligence market holds a mixture of major automotive OEMs and aftermarket companies. The key players focus on increasing the number of adopters along with building AI platforms that are more compatible and inclusive. Furthermore, the key players indulged in activities like partnerships, collaborations, and acquisitions to expand the market hold through strengthening of supply chain.
For instance, in January 2024, Cerence Inc. (CRNC) and Microsoft Corp. (MSFT) joined forces to improve in-car experiences by connecting Cerence's automotive technology to Microsoft's cloud-based AI services. The new partnership brings an automotive-grade implementation of OpenAI's ChatGPT Model, available through Microsoft's openAI service in cars.
In January 2024, Qualcomm Inc. announced its partnership with Bosch to produce system-on-chip, enabling AI in the form of the industry's first central vehicle computer. The system comes with the capability of running infotainment and an advanced driver assistance system. Qualcomm has been promoting the concept of a "digital chassis" as well.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.