市場調查報告書
商品編碼
1453674
汽車人工智慧市場評估:依交付、流程、技術、應用、組件、車輛類型和地區劃分的機會和預測(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 |
全球汽車人工智慧市場規模將從2023年的30.2億美元增長到2031年的135.8億美元,2024年至2031年的預測期內複合年增長率為20.67%。
日益關注添加應用程式以改善客戶體驗正在推動市場成長。 自動駕駛汽車、語音控制和先進安全功能等概念也有望推動市場成長。 此外,將人工智慧整合到資訊娛樂系統中可以簡化最終用戶的體驗。 不斷擴大的製造工廠正在採用人工智慧來加快生產速度並減少人為錯誤。
改善安全動態以促進人工智慧的採用:
遠端感應器、攝影機和其他組件與中央資訊娛樂系統集成,以提供車內即時監控。 人工智慧是自動駕駛汽車不可或缺的一部分,為包括乘客、駕駛員和汽車製造商在內的所有人提供舒適感。 自動駕駛汽車的語音辨識和控制單元由自然語言處理(NLP)和機器學習(ML)等人工智慧技術提供支援。 人工智慧除了在車輛開發的各個階段發揮作用外,還將提供路徑規劃和導航支援。 這包括用於直接路線優化的定位、感知和避免碰撞。
連網汽車技術與預測性維護推動市場成長:
不斷發展的互聯汽車技術和生成式人工智慧的整合相輔相成,為汽車提供幫助。 部署 5G 的物聯網架構將能夠存取連續的互聯網流,從而允許存取車輛通訊系統和其他線上服務。 這包括車對車 (V2V)、車對車 (V2I) 和車對車 (V2X)。 人工智慧隨著網路連接以及從應用程式到汽車的連接而不斷發展。
政府支持推動市場:
世界各國政府尋求各領域的創新和實驗,並提供補助和投資來整合新技術。 人工智慧已經被用於透過與交通攝影機整合來執行交通規則。 政府正與科技巨頭合作開發新技術。 此外,電動車的推廣正在加速對人工智慧的需求,政府正在支持汽車製造商的製造流程。
本報告調查了全球汽車人工智慧市場,提供了市場定義和概述、市場規模趨勢和預測、各個細分市場和地區的詳細分析、行業結構以及影響市場成長的因素。案例研究、競爭格局。
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.