市場調查報告書
商品編碼
1497619
汽車人工智慧市場:按產品、技術、流程、功能和應用分類 - 2024-2030 年全球預測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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預計2023年人工智慧汽車市場規模為48.5億美元,2024年達61.1億美元,2030年預計將達258.7億美元,複合年成長率為26.98%。
汽車人工智慧(AI)利用AI技術開發智慧汽車系統。這些人工智慧系統為汽車提供了自動駕駛、安全功能和智慧連接等先進功能。這有助於自動駕駛汽車、自主車隊管理、先進的安全功能和直覺的使用者介面的開發。該領域最重要的進步之一是引入人工智慧驅動的汽車駕駛座。這些先進的系統執行多種功能,增強服務人員和乘客的體驗。人工智慧汽車駕駛座整合了語音啟動助理和 ADAS(高級駕駛員輔助系統),以提高便利性,使駕駛員無需將手離開方向盤或眼睛注視路面即可與汽車互動,同時顯著提高安全性。人工智慧在汽車產業的應用對打造車內使用者體驗和安全性產生重大影響,導致汽車產業對人工智慧技術的需求不斷成長。政府法規、ADAS 的採用以及對自動駕駛汽車日益成長的偏好正在進一步加速人工智慧在汽車領域的實施。雖然存在成長機會,尤其是在高階汽車領域,但與人工智慧汽車相關的網路安全問題給市場帶來了重大挑戰。此外,開拓先進的人工智慧平台進行自動駕駛預計將在預測期內創造利潤豐厚的市場機會。
主要市場統計 | |
---|---|
基準年[2023] | 48.5億美元 |
預測年份 [2024] | 61.1億美元 |
預測年份 [2030] | 258.7億美元 |
複合年成長率(%) | 26.98% |
區域洞察
隨著自動駕駛技術的不斷發展,以及多家高科技巨頭和汽車相關企業在人工智慧研發上的大力投入,人工智慧在汽車市場的前景正在顯著擴大。歐洲汽車產業實力雄厚,現有汽車製造商和供應商積極探索人工智慧的應用。主要供應商在汽車行業的技術進步正在加速該地區的市場需求。歐洲對汽車領域的人工智慧應用和自動駕駛汽車制定了明確的法規和標準。監管機構的明確指導方針和支援正在為人工智慧的採用創造有利的環境,並推動歐洲對人工智慧驅動的汽車技術的需求。由於其龐大且快速成長的汽車製造地以及對連網型汽車的強勁需求,亞太地區正在擴大人工智慧在汽車市場的版圖,推動人工智慧技術在該地區汽車產業的採用。
FPNV定位矩陣
FPNV 定位矩陣對於評估汽車人工智慧市場供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對汽車市場人工智慧供應商的現狀進行深入而詳細的評估。對供應商貢獻的徹底比較和分析可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在汽車市場人工智慧中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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