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汽车用人工智能的市场规模，占有率，趋势分析报告:各零件，各自规则性等级，各技术，各车种，各地区，市场区隔趋势，2023年～2030年
市场调查报告书
商品编码
1301268

汽车用人工智能的市场规模，占有率，趋势分析报告:各零件，各自规则性等级，各技术，各车种，各地区，市场区隔趋势，2023年～2030年

Automotive Artificial Intelligence Market Size, Share & Trends Analysis Report By Component, By Level Of Autonomy, By Technology (Machine Learning, Natural Language Processing), By Vehicle Type, By Region, and Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

汽车用人工智能市场成长和趋势

Grand View Research的最新报告显示，全球汽车用人工智能市场规模2030年之前预计达到149亿2,000万美元。

预计从 2023 年到 2030 年，该行业将以 22.7% 的复合年增长率扩张。汽车行业的人工智能 (AI) 受到政府努力整合自动驾驶以及对自动驾驶汽车不断增长的需求等因素的推动。此外，汽车行业的扩张可能会推动人工智能市场。汽车行业受益于人工智能，是利用人工智能增强和復制人类行为的主要行业之一。例如，2023年3月，RoboSense宣布推出汽车级固态激光雷达感知解决方案RS-Fusion-P6（P6）。P6激光雷达系统专为4级自动驾驶而设计，集成最先进的软硬体支持，确保自动驾驶车辆高效可靠的感知能力。

ADAS（高级驾驶员辅助系统）、盲点警报和 ACC（自适应巡航控制）等新兴标准，以及对便利功能不断增长的需求，使得人工智能对汽车提供商具有吸引力。人工智能的关键任务爆发需要分析、警告和指导。汽车 ADAS 由各种先进传感器组成，例如激光雷达、惯性测量单元 (IMU)、雷达、摄像头，以及用于持续上传和下载周围环境的数据连接以及压力和温度传感器。信号链需要对传感器输出和检测进行适当的调节，以及车辆基础设施内部和周围的可靠的低延迟通信。

人工智能融入汽车行业的产品、生产製造流程和价值链，在汽车行业具有巨大潜力。人工智能的部署预计将为更安全、更清洁、更高效、更可靠的移动生态系统做出重大贡献。例如，联网和自动驾驶汽车中的人工智能应用将提高服务人员的安全性、监控、态势感知、舒适度和轨迹预测。它还可以显着提高性能和效率，例如改善物流流程和交通流动性，并减少燃料和电力消耗。

近年来，生产自动驾驶系统（ADS）技术的公司投入巨资对虚拟环境中运行的自动驾驶车辆进行实时测试，以确保其可靠性和安全性。然而，自2020年3月开始的COVID-19大流行，以其突然发作和持续回潮的影响，阻碍、扰乱和推迟了这些新产品开发测试目标的实现。Adrian Chen-Yang Tan 于 2022 年 3 月 10 日发表的一项研究使用了加州自动驾驶车辆测试计划的数据来探讨这一流行病将如何影响测试趋势、重新开放和测试条件。该研究强调了在疫情背景下政府采取措施鼓励和促进自动驾驶汽车发展的重要性。

汽车用人工智能市场报告亮点

  • 预计软体行业在未来几年将显着增长。采用 ADAS 或自动驾驶运行时软体和特殊处理元件类型可加速某些算法步骤。汽车行业采用人工智能的持续趋势将推动未来几年的市场增长
  • 2022 年，2 级细分市场以超过 67% 的全球销售额占有率引领市场。2级自动驾驶技术是指能够处理加速、制动和转向等特定驾驶任务的系统，但仍需要对辅助者保持警惕并能够在需要时对其进行控制。
  • 预计亚太地区在预测期内復合年增长率最高。该地区具有先进人工智能功能的高端乘用车销量不断增长，吸引了寻求更先进驾驶体验的消费者。用于购买技术先进车辆的消费者可支配收入的增加正在推动对人工智能驱动的汽车解决方案的需求。
  • 汽车製造商对人工智能和激光雷达的投资正在推动整个行业的增长，以满足对智能汽车不断增长的需求。

目录

第1章 调查手法和范围

  • 调查手法
  • 调查范围与前提条件
  • 资讯采购
    • 购买的资料库
    • Gvr内部资料库
    • 二次资讯和第三者的观点
    • 1次调查
  • 资讯分析
    • 资料分析模式
  • 市场形成和资料的视觉化
  • 资料的检验与公开

第2章 摘要整理

  • 市场预测
  • 各市场区隔预测
  • 竞争考察

第3章 市场变数，趋势，及范围

  • 市场系统
  • 产业的价值链分析
  • 汽车用人工智能市场-市场动态
    • 推动市场要素分析
    • 阻碍市场要素分析
    • 产业的相关课题
    • 产业的机会
  • 商务环境工具分析:汽车用人工智能市场
    • 波特的五力分析
    • 大环境分析
  • 经济大趋势分析

第4章 汽车用人工智能市场:零组件的估计·趋势分析

  • 汽车用人工智能市场，各零件:重要的要点
  • 汽车用人工智能市场:零组件的变动分析，2022年及2030年
  • 硬体设备
    • 市场估计·预测，2017～2030年
  • 软体
    • 市场估计·预测，2017～2030年

第5章 汽车用人工智能市场:自规则性层级的估计·趋势分析

  • 汽车用人工智能市场，各自规则性等级:重要的要点
  • 汽车用人工智能市场:自规则性层级的变动分析，2022年及2030年
  • 第1级
    • 市场估计·预测，2017～2030年
  • 第2级
    • 市场估计·预测，2017～2030年
  • 第3级
    • 市场估计·预测，2017～2030年
  • 层级4
    • 市场估计·预测，2017～2030年

第6章 汽车用人工智能市场:技术的估计·趋势分析

  • 汽车用人工智能市场，各技术:重要的要点
  • 汽车用人工智能市场:技术的变动分析，2022年及2030年
  • 机器学习
    • 市场估计·预测，2017～2030年
  • 自然语言处理
    • 市场估计·预测，2017～2030年
  • computer vision
    • 市场估计·预测，2017～2030年
  • 情境认知计算
    • 市场估计·预测，2017～2030年
  • 其他
    • 市场估计·预测，2017～2030年

第7章 汽车用人工智能市场:车型的估计·趋势分析

  • 汽车用人工智能市场，各车种:重要的要点
  • 汽车用人工智能市场:车型的变动分析，2022年及2030年
  • 小客车
    • 市场估计·预测，2017～2030年
  • 商用车
    • 市场估计·预测，2017～2030年

第8章 汽车用人工智能市场:地区估计·趋势分析

  • 汽车用人工智能市场:地区的变动分析，2022年及2030年
  • 北美
    • 市场估计·预测，2017～2030年
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 市场估计·预测，2017～2030年
    • 德国
    • 法国
    • 英国
  • 亚太地区
    • 市场估计·预测，2017～2030年
    • 中国
    • 日本
    • 印度
  • 中南美
    • 市场估计·预测，2017～2030年
    • 巴西
  • 中东和非洲
    • 市场估计·预测，2017～2030年

第9章 竞争情形

  • 企业的分类
  • 企业的市场上的地位
  • 企业热图分析
  • 策略製图
    • 扩张
    • 合併和收购
    • 伙伴关係和合作
    • 新产品的销售
    • 研究开发
  • 企业简介·一览表
    • Alphabet Inc.
    • Intel Corporation
    • Microsoft
    • Ibm Corporation
    • Nvidia Corporation
    • Qualcomm Technologies, Inc
    • Tesla
    • Ab Volvo
    • Bmw Ag
    • Audi Ag
Product Code: GVR-4-68039-994-6

Automotive Artificial Intelligence Market Growth & Trends

The global automotive artificial intelligence market size is expected to reach USD 14.92 billion by 2030, according to a new report by Grand View Research, Inc. The industry is anticipated to expand at a lucrative CAGR of 22.7% from 2023 to 2030. The artificial intelligence (AI) in the automotive industry is driven by factors such as government initiatives to incorporate autonomously and the growing demand for autonomous vehicles. Furthermore, the automotive industry's expansion will likely drive the artificial intelligence market. The automotive sector has benefitted from artificial intelligence and is one of the primary industries that use AI to augment and replicate human action. For instance, in March 2023, RoboSense announced the launch of the RS-Fusion-P6 (P6) automotive-grade solid-state LiDAR perception solution. The P6 LiDAR system is designed explicitly for level 4 autonomous driving and integrates cutting-edge software and hardware support, ensuring efficient and reliable perception capabilities for autonomous vehicles.

The advent of standards such as Advanced Driver Assistance Systems (ADAS), blind-spot alert, Adaptive Cruise Control (ACC), and increased demand for convenience features are attracting automotive providers to AI. AI mission-critical occurrences necessitate analysis, warnings, and directives. Automotive ADAS comprises various advanced sensors, such as LiDAR, Inertial Measurement Units (IMUs), radar, and cameras, as well as data connectivity and pressure and temperature sensors for constant uploads and downloads of surrounding conditions. The signal chain necessitates proper conditioning of sensor outputs and detection and reliable low-latency communications within the vehicle and the surrounding infrastructure.

AI has enormous potential in the automobile industry when embedded within the industry's products, production and manufacturing processes, and value-added chains. AI deployment is expected to contribute significantly to a safer, cleaner, more efficient, and more reliable mobility ecosystem. For instance, AI applications in connected and automated vehicles improve driver safety, monitoring, situational awareness, comfort, and trajectory prediction. It can lead to significant gains in performance and efficiency, such as enhanced logistical flows, traffic fluidity, and reduced fuel or power consumption.

In recent years, businesses manufacturing Automated Driving Systems (ADS) technology have substantially invested in live testing autonomous vehicles operating in virtual environments to assure their dependability and safety. However, the COVID-19 pandemic, which began in March 2020, prevented, disrupted, and delayed the achievement of these new product development test objectives due to its sudden beginning and continued resurgent impacts. A study published by Adrian Chen Yang Tan on March 10, 2022, used data from the California Automated Vehicle Test Program to ascertain how the pandemic impacted testing trends, resumptions, and test conditions. The study emphasized how crucial it is for government measures to encourage and facilitate the development of autonomous vehicles in pandemic situations.

Automotive Artificial Intelligence Market Report Highlights

  • The software segment is anticipated to grow significantly in the coming years. ADAS or autonomous driving runtime software and the employment of specialized processing element types speed up specific algorithmic steps. The ongoing trend of AI adoption in the automotive industry will drive market growth in the coming years
  • The level 2 segment led the market in 2022, accounting for over 67% share of the global revenue. Level-2 self-driving technology refers to a system that can handle certain driving tasks, such as acceleration, braking, and steering, but still requires the driver to be alert and ready to take control when needed
  • The APAC region is anticipated to witness the highest CAGR during the forecast period. The region's increasing sales of premium passenger automobiles equipped with advanced AI features have attracted consumers seeking enhanced driving experiences. Consumers' rise in disposable incomes to purchase technologically advanced vehicles is fueling the demand for AI-driven automotive solutions
  • Automotive manufacturers investments in AI and LiDAR have responded to the growing demand for intelligent vehicles, which has driven growth across the entire industry

Table of Contents

Chapter 1. Methodology And Scope

  • 1.1. Research Methodology
  • 1.2. Research Scope And Assumptions
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. Gvr's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segmental Outlook
  • 2.3. Competitive Insights

Chapter 3. Market Variables, Trends, And Scope

  • 3.1. Market Lineage
  • 3.2. Industry Value Chain Analysis
  • 3.3. Automotive Ai Market - Market Dynamics
    • 3.3.1. Market Driver Analysis
      • 3.3.1.1. Increasing Government Vehicle Safety Regulations
      • 3.3.1.2. Increased Demand For Enhanced User Experience And Convenience Features
      • 3.3.1.3. Increasing Popularity Of Autonomous Vehicles
    • 3.3.2. Market Restraint Analysis
      • 3.3.2.1. Increase In Cost Of Vehicles
      • 3.3.2.2. Threat To Vehicles Cybersecurity
    • 3.3.3. Industry Challenges
    • 3.3.4. Industry Opportunities
  • 3.4. Business Environmental Tools Analysis: Automotive Ai Market
    • 3.4.1. Porter's Five Forces Analysis
      • 3.4.1.1. Bargaining Power Of Suppliers
      • 3.4.1.2. Bargaining Power Of Buyers
      • 3.4.1.3. Threat Of Substitution
      • 3.4.1.4. Threat Of New Entrants
      • 3.4.1.5. Competitive Rivalry
    • 3.4.2. Pestle Analysis
      • 3.4.2.1. Political Landscape
      • 3.4.2.2. Economic Landscape
      • 3.4.2.3. Social Landscape
      • 3.4.2.4. Technology Landscape
      • 3.4.2.5. Environmental Landscape
      • 3.4.2.6. Legal Landscape
  • 3.5. Economic Mega Trend Analysis

Chapter 4. Automotive Ai Market: Component Estimates & Trend Analysis

  • 4.1. Automotive Ai Market, By Component: Key Takeaways
  • 4.2. Automotive Ai Market: Component Movement Analysis, 2022 & 2030
  • 4.3. Hardware
    • 4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 4.4. Software
    • 4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Automotive Ai Market: Level Of Autonomy Estimates & Trend Analysis

  • 5.1. Automotive Ai Market, By Level Of Autonomy: Key Takeaways
  • 5.2. Automotive Ai Market: Level Of Autonomy Movement Analysis, 2022 & 2030
  • 5.3. Level 1
    • 5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Level 2
    • 5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 5.5. Level 3
    • 5.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 5.6. Level 4
    • 5.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Automotive Ai Market: Technology Estimates & Trend Analysis

  • 6.1. Automotive Ai Market, By Technology: Key Takeaways
  • 6.2. Automotive Ai Market: Technology Movement Analysis, 2022 & 2030
  • 6.3. Machine Learning
    • 6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Natural Language Processing
    • 6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.5. Computer Vision
    • 6.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.6. Context-Aware Computing
    • 6.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.7. Others
    • 6.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Automotive Ai Market: Vehicle Type Estimates & Trend Analysis

  • 7.1. Automotive Ai Market, By Vehicle Type: Key Takeaways
  • 7.2. Automotive Ai Market: Vehicle Type Movement Analysis, 2022 & 2030
  • 7.3. Passenger Vehicles
    • 7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 7.4. Commercial Vehicles
    • 7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Automotive Ai Market: Regional Estimates & Trend Analysis

  • 8.1. Automotive Ai Market: Regional Movement Analysis, 2022 & 2030
  • 8.2. North America
    • 8.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.2.4. Mexico
      • 8.2.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. Germany
      • 8.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.3.3. France
      • 8.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.3.4. Uk
      • 8.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.5. Central & South America
    • 8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.6. Middle East & Africa
    • 8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Company Heat Map Analysis
  • 9.4. Strategy Mapping
    • 9.4.1. Expansion
    • 9.4.2. Mergers & Acquisition
    • 9.4.3. Partenerships & Collaborations
    • 9.4.4. New Product Launches
    • 9.4.5. Research & Development
  • 9.5. Company Profiles/Listing
    • 9.5.1. Alphabet Inc.
      • 9.5.1.1. Overview
      • 9.5.1.2. Financial Performance
      • 9.5.1.3. Product Benchmarking
    • 9.5.2. Intel Corporation
      • 9.5.2.1. Overview
      • 9.5.2.2. Financial Performance
      • 9.5.2.3. Product Benchmarking
    • 9.5.3. Microsoft
      • 9.5.3.1. Overview
      • 9.5.3.2. Financial Performance
      • 9.5.3.3. Product Benchmarking
    • 9.5.4. Ibm Corporation
      • 9.5.4.1. Overview
      • 9.5.4.2. Financial Performance
      • 9.5.4.3. Product Benchmarking
    • 9.5.5. Nvidia Corporation
      • 9.5.5.1. Overview
      • 9.5.5.2. Financial Performance
      • 9.5.5.3. Product Benchmarking
    • 9.5.6. Qualcomm Technologies, Inc
      • 9.5.6.1. Overview
      • 9.5.6.2. Financial Performance
      • 9.5.6.3. Product Benchmarking
    • 9.5.7. Tesla
      • 9.5.7.1. Overview
      • 9.5.7.2. Financial Performance
      • 9.5.7.3. Product Benchmarking
    • 9.5.8. Ab Volvo
      • 9.5.8.1. Overview
      • 9.5.8.2. Financial Performance
      • 9.5.8.3. Product Benchmarking
    • 9.5.9. Bmw Ag
      • 9.5.9.1. Overview
      • 9.5.9.2. Financial Performance
      • 9.5.9.3. Product Benchmarking
    • 9.5.10. Audi Ag
      • 9.5.10.1. Overview
      • 9.5.10.2. Financial Performance
      • 9.5.10.3. Product Benchmarking

List of Tables

  • Table 1 Automotive AI market - Industry snapshot & key buying criteria, 2017 - 2030
  • Table 2 Global automotive AI market, 2017 - 2030 (USD Million)
  • Table 3 Global automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 4 Global automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 5 Global automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 6 Global automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 7 Global automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 8 Automotive AI market - Key market driver impact
  • Table 9 Automotive AI market - Key market restraint impact
  • Table 10 Automotive AI - M&A, collaborations & partnership scenario
  • Table 11 Global component automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 12 Global hardware market, by region, 2017 - 2030 (USD Million)
  • Table 13 Global software market, by region, 2017 - 2030 (USD Million)
  • Table 14 Global level of Autonomy automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 15 Global level 1 market, by region, 2017 - 2030 (USD Million)
  • Table 16 Global level 2 market, by region, 2017 - 2030 (USD Million)
  • Table 17 Global level 3 market, by region, 2017 - 2030 (USD Million)
  • Table 18 Global level 4 market, by region, 2017 - 2030 (USD Million)
  • Table 19 Global technology automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 20 Global machine Learning market, by region, 2017 - 2030 (USD Million)
  • Table 21 Global natural Language Processing market, by region, 2017 - 2030 (USD Million)
  • Table 22 Global computer Vision market, by region, 2017 - 2030 (USD Million)
  • Table 23 Global context-aware computing market, by region, 2017 - 2030 (USD Million)
  • Table 24 Global others market, by region, 2017 - 2030 (USD Million)
  • Table 25 Global vehicle type automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 26 Global passenger vehicle market, by region, 2017 - 2030 (USD Million)
  • Table 27 Global commercial vehicle market, by region, 2017 - 2030 (USD Million)
  • Table 28 North America automotive AI market, 2017 - 2030 (USD Million)
  • Table 29 North America automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 30 North America automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 31 North America automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 32 North America automotive AI market, by vehicle type, 2017 - 2030 (USD Million) r
  • Table 33 U.S. automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 34 U.S. automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 35 U.S. automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 36 U.S. automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 37 Canada automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 38 Canada automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 39 Canada automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 40 Canada automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 41 Mexico automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 42 Mexico automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 43 Mexico automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 44 Mexico automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 45 Europe automotive AI market, 2017 - 2030 (USD Million)
  • Table 46 Europe automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 47 Europe automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 48 Europe automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 49 Europe automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 50 UK automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 51 UK automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 52 UK automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 53 UK automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 54 Germany automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 55 Germany automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 56 Germany automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 57 Germany automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 58 France automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 59 France automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 60 France automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 61 France automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 62 Asia Pacific automotive AI market, 2017 - 2030 (USD Million)
  • Table 63 Asia Pacific automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 64 Asia Pacific automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 65 Asia Pacific automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 66 Asia Pacific automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 67 China automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 68 China automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 69 China automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 70 China automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 71 Japan automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 72 Japan automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 73 Japan automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 74 Japan automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 75 India automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 76 India automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 77 India automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 78 India automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 79 Central and South America automotive AI market, 2017 - 2030 (USD Million)
  • Table 80 Central and South America automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 81 Central and South America automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 82 Central and South America automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 83 Central and South America automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 84 Brazil automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 85 Brazil automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 86 Brazil automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 87 Brazil automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 88 MEA automotive AI market, 2017 - 2030 (USD Million)
  • Table 89 MEA automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 90 MEA automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 91 MEA automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 92 MEA automotive AI market, by vehicle type, 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Automotive AI Market Snapshot
  • Fig. 2 Automotive AI Market Segmentation & Scope
  • Fig. 3 Automotive AI Market Penetration & Growth Prospect Mapping
  • Fig. 4 Automotive AI Market Value Chain Analysis
  • Fig. 5 Automotive AI Market Dynamics
  • Fig. 6 Automotive AI Market Porter's Analysis
  • Fig. 7 Automotive AI Market: Component Movement Analysis
  • Fig. 8 Automotive AI Market: Level of Autonomy Movement Analysis
  • Fig. 9 Automotive AI Market: Technology Movement Analysis
  • Fig. 10 Automotive AI Market: Vehicle Type Movement Analysis
  • Fig. 11 Automotive AI Market: Regional Movement Analysis