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汽車人工智能市場 - 2023 年至 2028 年預測
市場調查報告書
商品編碼
1302957

汽車人工智能市場 - 2023 年至 2028 年預測

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個工作天內

價格
簡介目錄

預計2021年汽車人工智能市場規模將達到126.6億美元，複合年增長率為22.69%，2028年將達到529.81億美元。

人工智能 (AI) 技術廣泛應用於汽車領域，從無人駕駛汽車、出租車、車隊和公共汽車到製造設施中的工業機器人。 因此，人工智能最近在汽車行業帶來了重大發展。 人工智能還將改變研究、設計和生產中的支持作用。 汽車製造商越來越意識到人工智能應用的價值，並專注於創建尖端的人工智能解決方案來滿足自動駕駛汽車的需求。

汽車人工智能可以幫助駕駛員避免碰撞。 一些支持人工智能的技術和傳感器會發出蜂鳴聲並發出警報，以幫助防止駕駛時發生事故。 人工智能在汽車行業最有效的應用之一是自動駕駛或無人駕駛汽車。 人工智能在汽車行業自學習自動駕駛汽車生產中的應用正在推動汽車人工智能市場的增長。 自動駕駛和聯網汽車需要越來越多的數據才能獨立運行。 在這種情況下，利用人工智能雲服務是有利的，因為自動駕駛汽車可以保證在需要時訪問數據。 人工智能在汽車行業最重要的應用之一是數字索賠，它簡化了事故後的索賠流程。 越來越多的裝配線正在引入人工智能機器人。 目前，工業機器人在汽車生產過程中的生產率高於人類工人。 此外，隨著人工智能引入的先進技術，機器人也可以完成類似的任務。

技術進步和消費者對配備先進系統的車輛日益增長的偏好是汽車人工智能市場的關鍵驅動力。

隨著可支配收入的增加，新興國家的消費者開始選擇具有高科技功能的豪華汽車，例如增強型駕駛輔助、自動化系統以及自動停車和緊急制動。 汽車領域的最新創新，例如拼車和電氣化，都是由人工智能 (AI) 提供支持的。 人工智能有助於車隊管理和定價，平衡共享出行的供需。

汽車公司希望通過投資初創公司來開發其人工智能功能和應用程序。 投資主要集中在客戶/駕駛員體驗和移動服務等領域，目的是提高可擴展性以保持顯著的競爭力。 Phantom AI 是一家矽谷公司，提供具有計算機視覺、傳感器融合和控制功能的完整自動駕駛平台，該公司於 2023 年 2 月宣佈在 C 輪融資中籌集了 3650 萬美元。 KT Investment 和 Renaissance Asset Management 是本輪的現有投資者，Intervest、Shinhan GIB 和 Samsung Ventures 是新投資者。 Phantom AI 致力於幫助客戶降低事故率、改善日常駕駛體驗，同時發掘 ADAS 的潛力。 新一輪融資將用於加快主要原始設備製造商當前系列生產的開發。

市場趨勢：

  • 2022 年 7 月，Kotak Mahindra General Insurance 宣布計劃使用基於人工智能的技術將車輛檢查納入汽車保險續保中。 為了實現這一目標，該公司與 Inspektlabs 合作，實現車輛檢查過程的自動化。 在續保時，客戶可以拍攝他們的汽車的照片和視頻，並將其上傳到基於雲的軟件。 上傳您的照片和視頻，我們將生成一份自動檢查報告，概述任何損壞。 此過程消除了自動化重複任務中的人為乾預，提高了準確性，同時減少了出錯的機會。 此外，成本效益驚人，因為它減少了車險續保的承保時間。
  • 2023 年1 月，中國數字獨角獸字節跳動與長城汽車旗下的好墨人工智能科技有限公司合作，擴大人工智能領域的業務，成為中國最大的自動計算公司。我們正在建設該設施。 同月，他們開設了名為“瑪娜綠洲”的設施。 好魔AI與字節跳動旗下雲服務平台火山引擎的此次合作，預計將加速推動尖端自動駕駛技術的發展。 兩家公司表示，Mana Oasis 將擁有比其他中國設施更強的計算能力，能夠進行 670 petaflops，即每秒 670 萬億次浮點運算。

亞太地區在汽車人工智能市場中佔有很大份額。

按地區劃分，汽車人工智能市場分為北美、南美、歐洲、中東/非洲和亞太地區。 由於亞太地區擁有龐大的汽車和電子行業，該地區在汽車人工智能市場中保持著較大份額。 塔塔汽車和現代汽車等多家主要汽車製造商的入駐，為該地區汽車工業的蓬勃發展做出了貢獻。 此外，汽車人工智能行業也受益於這些公司推進人工智能的努力。 例如，韓國主要汽車製造商現代汽車集團於 2022 年 8 月成立了波士頓動力人工智能研究所，從根本上推進人工智能 (AI)、機器人和智能機器的發展。 最初，現代汽車集團和波士頓動力公司為新實驗室投資了超過4億美元。 作為一個以研究為先的機構，該研究所旨在解決阻礙先進機器人技術發展的最關鍵和最困難的問題。

內容

第一章簡介

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年的時間表

第二章研究方法

  • 調查數據
  • 調查過程

第 3 章執行摘要

  • 研究亮點

第 4 章市場動態

  • 市場驅動因素
  • 市場製約因素
  • 波特五力分析
  • 行業價值鏈分析

第 5 章汽車人工智能市場：按應用劃分

  • 簡介
  • 自動駕駛汽車
    • 全自動化
    • 有條件的自動化
  • 情緒檢測/風險識別
  • 檢查
  • 製造業
  • 其他

第 6 章：汽車人工智能市場：按產品分類

  • 簡介
  • 硬件
  • 軟件和服務

第 7 章汽車人工智能市場：按技術

  • 簡介
  • 計算機視覺
  • 情境感知
  • 深度學習
  • 機器學習
  • 自然語言處理

第 8 章汽車人工智能市場：按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東/非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印度尼西亞
    • 台灣
    • 其他

第 9 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議和合作
  • 供應商競爭力矩陣

第 10 章公司簡介

  • Motional, Inc.
  • Waymo LLC
  • Zoox Inc.
  • AutoX, Inc.
  • Microsoft Corporation
  • CARVI Co., Ltd.
  • Tesla
  • SapientX Inc
  • Nauto
  • Intel
簡介目錄
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