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汽车人工智能市场 - 2023 年至 2028 年预测
市场调查报告书
商品编码
1302957

汽车人工智能市场 - 2023 年至 2028 年预测

AI in Automotive Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 143 Pages | 商品交期: 最快1-2个工作天内

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简介目录

预计2021年汽车人工智能市场规模将达到126.6亿美元，复合年增长率为22.69%，2028年将达到529.81亿美元。

人工智能 (AI) 技术广泛应用于汽车领域，从无人驾驶汽车、出租车、车队和公共汽车到製造设施中的工业机器人。 因此，人工智能最近在汽车行业带来了重大发展。 人工智能还将改变研究、设计和生产中的支持作用。 汽车製造商越来越意识到人工智能应用的价值，并专注于创建尖端的人工智能解决方案来满足自动驾驶汽车的需求。

汽车人工智能可以帮助驾驶员避免碰撞。 一些支持人工智能的技术和传感器会发出蜂鸣声并发出警报，以帮助防止驾驶时发生事故。 人工智能在汽车行业最有效的应用之一是自动驾驶或无人驾驶汽车。 人工智能在汽车行业自学习自动驾驶汽车生产中的应用正在推动汽车人工智能市场的增长。 自动驾驶和联网汽车需要越来越多的数据才能独立运行。 在这种情况下，利用人工智能云服务是有利的，因为自动驾驶汽车可以保证在需要时访问数据。 人工智能在汽车行业最重要的应用之一是数字索赔，它简化了事故后的索赔流程。 越来越多的装配线正在引入人工智能机器人。 目前，工业机器人在汽车生产过程中的生产率高于人类工人。 此外，随着人工智能引入的先进技术，机器人也可以完成类似的任务。

技术进步和消费者对配备先进系统的车辆日益增长的偏好是汽车人工智能市场的关键驱动力。

随着可支配收入的增加，新兴国家的消费者开始选择具有高科技功能的豪华汽车，例如增强型驾驶辅助、自动化系统以及自动停车和紧急制动。 汽车领域的最新创新，例如拼车和电气化，都是由人工智能 (AI) 提供支持的。 人工智能有助于车队管理和定价，平衡共享出行的供需。

汽车公司希望通过投资初创公司来开发其人工智能功能和应用程序。 投资主要集中在客户/驾驶员体验和移动服务等领域，目的是提高可扩展性以保持显着的竞争力。 Phantom AI 是一家硅谷公司，提供具有计算机视觉、传感器融合和控制功能的完整自动驾驶平台，该公司于 2023 年 2 月宣布在 C 轮融资中筹集了 3650 万美元。 KT Investment 和 Renaissance Asset Management 是本轮的现有投资者，Intervest、Shinhan GIB 和 Samsung Ventures 是新投资者。 Phantom AI 致力于帮助客户降低事故率、改善日常驾驶体验，同时发掘 ADAS 的潜力。 新一轮融资将用于加快主要原始设备製造商当前系列生产的开发。

市场趋势：

  • 2022 年 7 月，Kotak Mahindra General Insurance 宣布计划使用基于人工智能的技术将车辆检查纳入汽车保险续保中。 为了实现这一目标，该公司与 Inspektlabs 合作，实现车辆检查过程的自动化。 在续保时，客户可以拍摄他们的汽车的照片和视频，并将其上传到基于云的软件。 上传您的照片和视频，我们将生成一份自动检查报告，概述任何损坏。 此过程消除了自动化重复任务中的人为干预，提高了准确性，同时减少了出错的机会。 此外，成本效益惊人，因为它减少了车险续保的承保时间。
  • 2023 年1 月，中国数字独角兽字节跳动与长城汽车旗下的好墨人工智能科技有限公司合作，扩大人工智能领域的业务，成为中国最大的自动计算公司。我们正在建设该设施。 同月，他们开设了名为“玛娜绿洲”的设施。 好魔AI与字节跳动旗下云服务平台火山引擎的此次合作，预计将加速推动尖端自动驾驶技术的发展。 两家公司表示，Mana Oasis 将拥有比其他中国设施更强的计算能力，能够进行 670 petaflops，即每秒 670 万亿次浮点运算。

亚太地区在汽车人工智能市场中占有很大份额。

按地区划分，汽车人工智能市场分为北美、南美、欧洲、中东/非洲和亚太地区。 由于亚太地区拥有庞大的汽车和电子行业，该地区在汽车人工智能市场中保持着较大份额。 塔塔汽车和现代汽车等多家主要汽车製造商的入驻，为该地区汽车工业的蓬勃发展做出了贡献。 此外，汽车人工智能行业也受益于这些公司推进人工智能的努力。 例如，韩国主要汽车製造商现代汽车集团于 2022 年 8 月成立了波士顿动力人工智能研究所，从根本上推进人工智能 (AI)、机器人和智能机器的发展。 最初，现代汽车集团和波士顿动力公司为新实验室投资了超过4亿美元。 作为一个以研究为先的机构，该研究所旨在解决阻碍先进机器人技术发展的最关键和最困难的问题。

内容

第一章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年的时间表

第二章研究方法

  • 调查数据
  • 调查过程

第 3 章执行摘要

  • 研究亮点

第 4 章市场动态

  • 市场驱动因素
  • 市场製约因素
  • 波特五力分析
  • 行业价值链分析

第 5 章汽车人工智能市场：按应用划分

  • 简介
  • 自动驾驶汽车
    • 全自动化
    • 有条件的自动化
  • 情绪检测/风险识别
  • 检查
  • 製造业
  • 其他

第 6 章：汽车人工智能市场：按产品分类

  • 简介
  • 硬件
  • 软件和服务

第 7 章汽车人工智能市场：按技术

  • 简介
  • 计算机视觉
  • 情境感知
  • 深度学习
  • 机器学习
  • 自然语言处理

第 8 章汽车人工智能市场：按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他
  • 中东/非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 以色列
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印度尼西亚
    • 台湾
    • 其他

第 9 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第 10 章公司简介

  • Motional, Inc.
  • Waymo LLC
  • Zoox Inc.
  • AutoX, Inc.
  • Microsoft Corporation
  • CARVI Co., Ltd.
  • Tesla
  • SapientX Inc
  • Nauto
  • Intel
简介目录
Product Code: KSI061615536

The AI in automotive market size was valued at US$12.66 billion in 2021 and is expected to grow at a CAGR of 22.69% to reach US$52.981 billion by 2028.

Artificial Intelligence (AI) technology is widely used in the automotive sector, from driverless automobiles, cabs, vehicles, and buses to industrial robots in manufacturing facilities. As a result, AI in the automotive industry has recently brought about significant developments. Artificial intelligence also alters the support roles in research and design, and production. Manufacturers in the automotive sector are concentrating on creating cutting-edge AI solutions to meet the need for autonomous vehicles as they become more mindful of the value of AI applications.

Artificial intelligence in cars can help drivers prevent collisions. Some AI-enabled technologies or sensors beep or alarm drivers to help them prevent accidents while they are driving. One of the most effective uses of AI in the auto sector is autonomous or driverless vehicles. The application of artificial intelligence to the production of self-learning, self-driving cars in the automotive industry has propelled the growth of the AI automotive market. Autonomous or connected vehicles require an increasing amount of data to function independently. Utilizing AI cloud services is advantageous in this situation since it guarantees data accessibility when self-driving cars are needed. One of the most significant applications of AI in the automobile sector is digital insurance claiming, which streamlines the process of filing insurance claims after accidents. An increasing number of assembly lines are implementing AI robots. Industrial robots in the car production process are currently more productive than human workers. The robots can also finish similar duties due to the advanced technology incorporated by artificial intelligence.

The rising technological advancements and consumer preference towards vehicles with advanced systems have been major drivers for AI in automotive market.

Consumers in developing economies are choosing luxury categories and vehicles with high-tech features like enhanced driver assistance, automated systems, and automatic parking and emergency braking since they have more disposable income. The newest innovations in the automotive sector, such as ridesharing and electrification, are being driven by artificial intelligence (AI). AI aids fleet management and pricing, balancing supply and demand in shared mobility.

Through startup investments, automotive corporations hope to advance their AI capabilities and applications. Investments are concentrated in areas like customer/driver experience and mobility services, where they aim to expand scalability to stay competitive significantly. Phantom AI, a Silicon Valley business that offers a complete autonomous driving platform with computer vision, sensor fusion, and control capabilities, announced in February 2023 that it had raised $36.5 million in its Series C fundraising round. KT Investment and Renaissance Asset Management are among the round's existing investors, and InterVest, Shinhan GIB, and Samsung Ventures are newcomers. Phantom AI is committed to assisting clients in lowering accident rates and improving daily driving experiences while revealing ADAS's potential. The new round will be used to quicken the development of the current series production with important OEMs.

Market Developments:

  • In July 2022, Kotak Mahindra General Insurance announced its plans to incorporate automated car inspections for vehicle insurance renewals using AI-based technology. To accomplish this, it teamed up with Inspektlabs to automate the car inspection procedure. When renewing their insurance policies, customers can take pictures or videos of their cars and upload them to the cloud-based software. After uploading the photographs or videos, an automated inspection report outlining damages, if any, will be generated. Due to the process, human intervention is eliminated from repetitive tasks through automation, which increases accuracy while lowering the likelihood of error. Furthermore, it is incredibly cost-effective as it reduces the coverage time it takes to renew car insurance.
  • In January 2023, ByteDance, a Chinese digital unicorn, expanded its artificial intelligence initiatives by collaborating with Haomo.AI Technology Co., owned by Great Wall Motor, and is working to build the largest autonomous driving computing facility in the nation. They opened this facility, Mana Oasis, in the same month. This partnership between Haomo AI and Volcano Engine, a cloud service platform owned by ByteDance, is expected to hasten efforts to encourage cutting-edge self-driving technology. The companies state that Mana Oasis has more computing capacity than other Chinese facilities, with 670 petaflops, or 670 quadrillion floating point operations per second.

Asia Pacific region holds substantial market shares in the AI automotive market.

Based on geography, the AI automotive market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. Since there is a sizable automotive and electronics industry in Asia Pacific, the area maintains significant market shares for AI in the automotive sector. The presence of numerous major automakers, including Tata Motors and Hyundai, is causing the region's automobile industry to flourish. Additionally, the AI automotive sector has benefited from these companies' efforts to promote AI. For instance, Hyundai Motor Group, a significant South Korean automaker, established the Boston Dynamics AI Institute in August 2022 to make fundamental advancements in artificial intelligence (AI), robotics, and intelligent machines. Initially, more than US$400 million was invested in the new institute by the group and Boston Dynamics. The institute intends to resolve the most significant and challenging issues preventing the development of advanced robotics as a research-first institution.

Market Segmentation

By Application

  • Autonomous Vehicles
  • Fully Automated
  • Conditional Automated
  • Emotion Detection and Risk Identification
  • Testing
  • Manufacturing
  • Others

By Offering

  • Hardware
  • Software and Services

By Technology

  • Computer Vision
  • Context Awareness
  • Deep Learning
  • Machine Learning
  • Natural Language Processing

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East And Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Other
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. AI IN AUTOMOTIVE MARKET, BY APPLICATION

  • 5.1. Introduction
  • 5.2. Autonomous Vehicles
    • 5.2.1. Fully Automated
    • 5.2.2. Conditional Automated
  • 5.3. Emotion Detection and Risk Identification
  • 5.4. Testing
  • 5.5. Manufacturing
  • 5.6. Others

6. AI IN AUTOMOTIVE MARKET, BY OFFERING

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software and Services

7. AI AUTOMOTIVE MARKET, BY TECHNOLOGY

  • 7.1. Introduction
  • 7.2. Computer Vision
  • 7.3. Context Awareness
  • 7.4. Deep Learning
  • 7.5. Machine Learning
  • 7.6. Natural Language Processing

8. AI AUTOMOTIVE MARKET, BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East And Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Other
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisition, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. Motional, Inc.
  • 10.2. Waymo LLC
  • 10.3. Zoox Inc.
  • 10.4. AutoX, Inc.
  • 10.5. Microsoft Corporation
  • 10.6. CARVI Co., Ltd.
  • 10.7. Tesla
  • 10.8. SapientX Inc
  • 10.9. Nauto
  • 10.10. Intel