市场调查报告书
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1497619
汽车人工智慧市场:按产品、技术、流程、功能和应用划分 - 2024-2030 年全球预测Artificial Intelligence in Automotive Market by Offerings (Hardware, Software), Technology (Computer Vision, Context Awareness, Deep Learning), Process, Functionality, Application - Global Forecast 2024-2030 |
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预计2023年人工智慧汽车市场规模为48.5亿美元,2024年达61.1亿美元,2030年预计将达258.7亿美元,复合年增长率为26.98%。
汽车人工智慧(AI)利用AI技术开发智慧汽车系统。这些人工智慧系统为汽车提供了自动驾驶、安全功能和智慧连接等先进功能。这有助于自动驾驶汽车、自主车队管理、先进的安全功能和直觉的使用者介面的开发。该领域最重要的进步之一是引入人工智慧驱动的汽车驾驶座。这些先进的系统执行多种功能,增强服务人员和乘客的体验。人工智慧汽车驾驶座整合了语音启动助理和 ADAS(高级驾驶员辅助系统),以提高便利性,使驾驶员无需将手离开方向盘或眼睛注视路面即可与汽车互动,同时显着提高安全性。人工智慧在汽车产业的应用对打造车内使用者体验和安全性产生重大影响,导致汽车产业对人工智慧技术的需求不断增长。政府法规、ADAS 的采用以及对自动驾驶汽车日益增长的偏好正在进一步加速人工智慧在汽车领域的实施。虽然存在成长机会,尤其是在高端汽车领域,但与人工智慧汽车相关的网路安全问题给市场带来了重大挑战。此外,开拓先进的人工智慧平台进行自动驾驶预计将在预测期内创造利润丰厚的市场机会。
主要市场统计 | |
---|---|
基准年[2023] | 48.5亿美元 |
预测年份 [2024] | 61.1亿美元 |
预测年份 [2030] | 258.7亿美元 |
复合年增长率(%) | 26.98% |
区域洞察
随着自动驾驶技术的不断发展,以及多家高科技巨头和汽车相关企业在人工智慧研发上的大力投入,人工智慧在汽车市场的前景正在显着扩大。欧洲汽车产业实力雄厚,现有汽车製造商和供应商积极探索人工智慧的应用。主要供应商在汽车行业的技术进步正在加速该地区的市场需求。欧洲对汽车领域的人工智慧应用和自动驾驶汽车制定了明确的法规和标准。监管机构的明确指导方针和支援正在为人工智慧的采用创造有利的环境,并推动欧洲对人工智慧驱动的汽车技术的需求。由于其庞大且快速成长的汽车製造地以及对连网型汽车的强劲需求,亚太地区正在扩大人工智慧在汽车市场的版图,推动人工智慧技术在该地区汽车产业的采用。
FPNV定位矩阵
FPNV 定位矩阵对于评估汽车人工智慧市场供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对汽车市场人工智慧供应商的现状进行深入而详细的评估。对供应商贡献的彻底比较和分析可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在汽车市场人工智慧中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[180 Pages Report] The Artificial Intelligence in Automotive Market size was estimated at USD 4.85 billion in 2023 and expected to reach USD 6.11 billion in 2024, at a CAGR 26.98% to reach USD 25.87 billion by 2030.
Automotive artificial intelligence (AI) uses AI technology to develop intelligent vehicle systems. These AI systems empower vehicles with advanced capabilities, such as autonomous driving, safety features, and smart connectivity. It facilitates the development of self-driving cars, automated fleet management, advanced safety features, and intuitive user interfaces. One of the most significant advancements in this domain is the introduction of AI-powered automotive cockpits. These advanced systems serve various functions that enhance both driver and passenger experiences. AI automotive cockpit integrates voice-activated assistants and advanced driver assistance systems (ADAS) to help drivers interact with their vehicles without taking their hands off the wheel or eyes off the road, significantly improving safety while offering convenience. Artificial intelligence's application in the automotive industry has significantly impacted the construction of in-vehicle user experience and security, resulting in a growing demand for AI technology within the automotive sector. Government regulations, the adoption of ADAS, and the increasing preference for autonomous vehicles have further fueled the implementation of AI in the automotive space. While there are growth opportunities, particularly in the premium segment cars, the cybersecurity concerns associated with AI-enabled vehicles pose a significant challenge in the market. Moreover, the development of advanced AI platforms for autonomous driving is expected to create a lucrative market o[opportunity in the forecasted period.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 4.85 billion |
Estimated Year [2024] | USD 6.11 billion |
Forecast Year [2030] | USD 25.87 billion |
CAGR (%) | 26.98% |
Regional Insights
The Americas has a significant landscape in artificial intelligence in the automotive market owing to the increasing development of autonomous technology and the presence of several tech giants and automotive companies investing heavily in AI research and development. Europe has a robust automotive industry with established automakers and suppliers actively exploring AI applications. Technological advancements in the automotive industry by key market vendors have accelerated the market demand in the region. Europe has well-defined regulations and standards for AI applications and autonomous vehicles in the automotive sector. Clear guidelines and support from regulatory bodies create a conducive environment for AI adoption, fostering the demand for AI-driven automotive technologies in Europe. APAC has a growing landscape in artificial intelligence in the automotive market due to the large and fast-growing automotive manufacturing hub and significant demand for smart and connected vehicles, which fuels the adoption of AI technologies in the automotive sector in the region.
Market Insights
The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Automotive Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Automotive Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence in Automotive Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
AI-based self-driving tech start-up Minus Zero unveils India's first fully autonomous vehicle
Minus Zero, a Bengaluru-based AI start-up, recently unveiled zPod, India's first-ever autonomous vehicle. This fully electric prototype is equipped with an advanced camera-sensor suite, enabling it to operate in diverse environmental and geographical conditions with Level 5 autonomy capabilities. [Published On: 2023-06-04]
Ford launches automated driving unit Latitude AI months after winding down Argo
Ford Motor Co recently established a subsidiary called Latitude AI, specializing in automated driving systems. Latitude AI aims to enhance Ford's existing BlueCruise technology, enabling hands-free highway driving in select models. [Published On: 2023-03-02]
XPENG launches AI platform for autonomous driving and robot features
XPeng's unveiled its next-generation neural network-based perception architecture, XNet, at its fourth annual Tech Day in Guangzhou. This event showcased various cutting-edge technologies, including data management platforms, closed-loop AI, voice and smart cabin technologies, and the latest advancements in their mobility ecosystem, including the latest robotaxi, flying cars, and robotics projects. [Published On: 2022-10-26]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Automotive Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Automotive Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Alphabet Inc., Aptiv PLC, Audi AG, Baidu Inc., Bayerische Motoren Werke AG, Continental AG, General Motors Company, Harman International Industries, Inc., Honda Motor Co., Ltd., Intel Corporation, International Business Machines Corporation, Mercedes-Benz Group AG, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Optimus Ride, Qualcomm Inc., Rivian Automotive, Inc.,, Robert Bosch GmbH, Tesla, Inc., TomTom, Toyota Motor Corporation, Velodyne Lidar Inc., Volkswagen AG, Volvo Car Corporation, and Xpeng Inc..
Market Segmentation & Coverage