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市場調查報告書
商品編碼
1440090

汽車預測技術：市場佔有率分析、產業趨勢與統計、成長預測（2024-2029）

Automotive Predictive Technology - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計2024年汽車預測技術市場規模為748.6億美元，預計2029年將達到1,110.7億美元，預測期（2024-2029年）將成長8.21%，以年複合成長率成長。

汽車預測技術-市場

主要亮點

  • 冠狀病毒感染疾病（COVID-19）的爆發對汽車預測技術市場產生了負面影響。世界各地的多家汽車和零件製造工廠暫時關閉，供應鏈中斷。然而，汽車產業已開始小幅復甦，預計在預測期內將繼續復甦。
  • 人工智慧和機器學習等車輛技術可增強高級駕駛輔助系統 (ADAS) 等安全功能，而預測性維護則側重於減少車輛停機時間並經濟有效地提高車輛性能。技術先進功能的成長趨勢是一個因素推動市場成長。
  • 自動駕駛汽車和技術使用多種預測功能來警告駕駛員注意障礙物並產生其他駕駛警告。幾家主要的目的地設備製造商（OEM）正在大力投資自動駕駛汽車的開發，預計此類開發將為市場參與者提供新的機會。
  • 預計亞太地區將主導汽車預測技術市場。據估計，未來幾年先進駕駛輔助系統 (ADAS) 的安裝量不斷增加也將增加全部區域對此類技術的需求。

汽車預測技術市場趨勢

Likley 在 ADAS 領域將在預測期內主導市場

  • 近年來，汽車產業致力於改善 ADAS 系統的研發工作。這導致了高級駕駛員輔助系統的進一步改進，對夜間行人偵測系統、車道偏離警告系統、攝影機、雷達和其他感測器的需求激增，這些感測器正在快速安裝在車輛中。因此，廠商不斷致力於部署配備此類技術的產品來推動市場需求。
  • 2022年7月，現代馬達印度推出了頂級運動型多用途車（SUV）的升級版Tucson，標誌著汽車技術的重大進步。這款 SUV 擁有 2 級高級駕駛輔助系統 (ADAS) 功能，開創了智慧駕駛功能的新時代。其突破性功能之一是自動感測技術，結合了最先進的攝影機和雷達感測器的力量。這種創新設定使圖森能夠準確地偵測道路上的其他車輛、行人，甚至自行車。
  • 此外，奧迪、寶馬、戴姆勒和沃爾沃等公司只是眾多已開始提供夜間行人偵測系統的目的地設備製造商 (OEM) 中的一小部分。如果行人在一定速度範圍內，系統會警告駕駛或自動煞車。
  • 例如，2022 年 11 月，軟體公司 Zenseact 推出了 Onepilot，這是一款由人工智慧 (AI) 支援的軟體，可為沃爾沃全電動旗艦 SUV 沃爾沃 EX90 的駕駛員提供新的安全水平。
  • 幾家主要服務供應商正在花費大量資金為其車輛研發最新的 ADAS 技術，以獲得市場佔有率。除了大公司之外，一些Start-Ups也從這些大公司獲得資金，以提出最新的創新理念和技術。
  • 由於這些發展，預計 ADAS 領域將在預測期內主導市場。

預計亞太地區將佔據主要市場佔有率

  • 預計亞太地區將成為預測期內成長最快的市場。汽車的混合和電動以及電動車產量的增加是推動需求的主要因素。印度、中國和日本等國家正逐步將預測技術引入小客車，因為配備此類技術的小客車和商用車價格分佈略高。基礎設施和法規不足也導致了採用緩慢。
  • 亞太地區的汽車製造商也正在投資預測技術，並推出具有基於預測技術功能的新產品。
  • 例如，2023年5月，位於班加羅爾的印度大陸技術中心在專門針對印度路況開發先進駕駛輔助系統（ADAS）方面取得了重大進展。他們努力的成果是模組化的 ADAS 解決方案，可以輕鬆適應各種汽車平臺，確保無縫整合和相容性。
  • 2021 年 7 月，印度先鋒新興企業Minus Zero 成功建構了由尖端人工智慧和機器學習技術驅動的自主系統，實現了一個非凡的里程碑。這款創新系統經過精心設計，能夠在印度交通狀況帶來的獨特挑戰中發揮最佳作用。
  • 這些因素為整個亞太地區的預測技術創造了重大機會。預計在不久的將來對此類技術的需求將會增加。

汽車預測技術產業概況

汽車預測技術市場適度整合，多個主要和新參與者爭奪重要的市場佔有率。汽車預測技術市場的一些知名公司包括大陸集團、採埃孚股份公司、羅伯特博世、Aptiv PLC 和法雷奧 SA。這些公司專注於策略合作舉措，以擴大市場佔有率和利潤。

例如，2022年4月，採埃孚推出了專為城市公車設計的開創性碰撞緩解系統（CMS）。此創新系統提供主動制動，以防止與其他道路使用者（例如車輛、騎自行車的人和行人）發生正面碰撞。此外，CMS有效降低煞車力對乘員的負面影響，確保安全性和舒適性。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章 簡介

  • 調查先決條件
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場促進因素
    • 對聯網汽車的需求增加
    • 資料分析和機器學習的進展
  • 市場限制因素
    • 安裝和維護成本高
  • 波特五力分析
    • 新進入者的威脅
    • 買方議價能力
    • 供應商的議價能力
    • 替代產品的威脅
    • 競爭公司之間敵對的強度

第5章市場區隔

  • 車輛類型
    • 小客車
    • 商用車
  • 最終用戶
    • 車隊車主
    • 保險公司
    • 其他最終用戶
  • 硬體類型
    • ADAS
    • 機載診斷
    • 其他硬體類型
  • 地區
    • 北美洲
      • 美國
      • 加拿大
      • 北美其他地區
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 其他亞太地區
    • 世界其他地區
      • 巴西
      • 墨西哥
      • 阿拉伯聯合大公國
      • 其他

第6章 競爭形勢

  • 供應商市場佔有率
  • 公司簡介
    • Continental AG
    • Aptiv PLC
    • Garrett Motion Inc.
    • Harman International Industries Incorporated
    • Visteon Corporation
    • ZF Friedrichshafen AG
    • Valeo SA
    • Robert Bosch GmbH
    • Verizon
    • Infineon Technologies AG

第7章市場機會與未來趨勢

  • 與 ADAS（高級駕駛輔助系統）整合
簡介目錄
Product Code: 69841

The Automotive Predictive Technology Market size is estimated at USD 74.86 billion in 2024, and is expected to reach USD 111.07 billion by 2029, growing at a CAGR of 8.21% during the forecast period (2024-2029).

Automotive Predictive Technology - Market

Key Highlights

  • The outbreak of COVID-19 negatively impacted the automotive predictive technology market. Several vehicles and component manufacturing facilities worldwide were temporarily shut down, resulting in disturbances in the supply chain. However, the automotive industry started recovering slightly and is expected to continue during the forecast period.
  • The growing trend of technologically advanced features in the vehicles, such as artificial intelligence and machine learning to enhance safety features like advanced driver-assistance systems (ADAS) and predictive maintenance focused on reducing vehicle downtime and increasing vehicle performance cost-effectively, is driving the market growth.
  • Autonomous vehicles and self-driving technologies also use several predictive features to alert drivers about obstacles and produce other driving alerts. Several major original equipment manufacturers (OEMs) are investing heavily in developing autonomous vehicles, and such developments are expected to offer new opportunities for players in the market.
  • Asia-Pacific is expected to dominate the automotive predictive technology market, owing to the increasing demand for luxury vehicles across India, China, and Japan. The increasing installation of advanced driver-assistance systems (ADAS) is also estimated to boost the demand for such technologies in the coming years across the region.

Automotive Predictive Technology Market Trends

ADAS Segment Likley to Dominate the Market During the Forecast Period

  • In recent years, the automobile industry has motivated its research and development work to improve ADAS systems. This led to further improvements in the advanced driving assistance systems, with a surge in demand for night-time pedestrian detection systems, lane departure warning systems, cameras, RADAR, and other sensors, which are being deployed into vehicles at a considerable pace. So, players continuously focus on deploying products with such technologies to drive demand in the market.
  • In July 2022, Hyundai Motor India made a significant stride in automotive technology with the launch of an upgraded version of its top-tier sports utility vehicle (SUV), the Tucson. Boasting level 2 advanced driving assistance systems (ADAS) capability, this SUV introduces a new era of intelligent driving features. Among the groundbreaking features is an automated sensing technology that combines the power of cutting-edge cameras and radar sensors. With this innovative setup, Tucson can now accurately detect other vehicles, pedestrians, and even cyclists on the road.
  • Moreover, companies like Audi, BMW, Daimler, and Volvo are a few of many original equipment manufacturers (OEMs) that started offering night-time pedestrian detection systems. It alerts the driver or automatically brakes if there is a pedestrian in the path between a certain speed range.
  • For instance, in November 2022, Zenseact, a software company, introduced artificial intelligence (AI)-powered software, Onepilot, that will offer drivers a new level of safety in Volvo's fully electric flagship SUV, the Volvo EX90.
  • Several major service providers are spending heavily on research and development of the latest ADAS technologies for vehicles to gain market share. Not only the major companies but several startups are also coming up with the latest innovative ideas and technologies, which are funded by these major players.
  • Due to such developments, the ADAS segment is expected to dominate the market during the forecast period.

Asia-Pacific Expected to Hold Significant Market Share

  • Asia-Pacific is expected to be the fastest-growing market during the forecast period. Vehicle hybridization and electrification and increasing production of electric vehicles are the primary factors driving the demand. Countries like India, China, and Japan are picking up the pace as predictive technology implementation in passenger cars is taking place gradually, as such cars or commercial vehicles equipped with such technology are in a bit higher price segment. Poor infrastructure and regulations are other reasons responsible for slow adoption.
  • Automobile manufacturers in the Asia-pacific region are also investing in predictive technology and launching new products equipped with features based on predictive technology.
  • For instance, in May 2023, the Bengaluru-based Continental Technology Centre India is making significant strides in the development of advanced driver assistance systems (ADAS) tailored specifically to Indian road conditions. Their efforts have resulted in modular ADAS solutions, which can be readily adapted to various vehicle platforms, ensuring seamless integration and compatibility.
  • In July 2021, a pioneering Indian start-up named Minus Zero achieved a remarkable milestone by successfully creating an autonomous system powered by cutting-edge AI and machine learning technologies. This innovative system is purposefully designed to function optimally amidst the unique challenges posed by Indian traffic conditions.
  • Such factors are creating huge opportunities for predictive technology across Asia-Pacific. The demand for such technologies is expected to increase in the near future.

Automotive Predictive Technology Industry Overview

The automotive predictive technology market is moderately consolidated as it accommodates several major and new players vying for significant market share. Some of the prominent companies in the automotive predictive technology market include Continental AG, ZF Friedrichshafen AG, Robert Bosch, Aptiv PLC, and Valeo SA. These companies are focusing on strategic collaborative initiatives to expand their market shares and profits.

For instance, in April 2022, ZF launched a pioneering collision mitigation system (CMS) designed for city buses. This innovative system provides active braking to prevent frontal collisions with other road users, such as vehicles, bicycles, and pedestrians. Additionally, the CMS effectively mitigates the negative effects of braking momentum on passengers, ensuring their safety and comfort.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Drivers
    • 4.1.1 Increasing Demand For Connected Cars
    • 4.1.2 Advancements In Data Analytics And Machine Learning
  • 4.2 Market Restraints
    • 4.2.1 High Implementation And Maintenance Costs
  • 4.3 Porter's Five Forces Analysis
    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers/Consumers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 Vehicle Type
    • 5.1.1 Passenger Vehicles
    • 5.1.2 Commercial Vehicles
  • 5.2 End-User
    • 5.2.1 Fleet Owners
    • 5.2.2 Insurers
    • 5.2.3 Other End-Users
  • 5.3 Hardware Type
    • 5.3.1 ADAS
    • 5.3.2 On-board Diagnosis
    • 5.3.3 Other Hardware Types
  • 5.4 Geography
    • 5.4.1 North America
      • 5.4.1.1 United States
      • 5.4.1.2 Canada
      • 5.4.1.3 Rest of North America
    • 5.4.2 Europe
      • 5.4.2.1 Germany
      • 5.4.2.2 United Kingdom
      • 5.4.2.3 France
      • 5.4.2.4 Rest of Europe
    • 5.4.3 Asia-Pacific
      • 5.4.3.1 China
      • 5.4.3.2 India
      • 5.4.3.3 Japan
      • 5.4.3.4 South Korea
      • 5.4.3.5 Rest of Asia-Pacific
    • 5.4.4 Rest of the World
      • 5.4.4.1 Brazil
      • 5.4.4.2 Mexico
      • 5.4.4.3 United Arab Emirates
      • 5.4.4.4 Other Countries

6 COMPETITIVE LANDSCAPE

  • 6.1 Vendor Market Share**
  • 6.2 Company Profiles*
    • 6.2.1 Continental AG
    • 6.2.2 Aptiv PLC
    • 6.2.3 Garrett Motion Inc.
    • 6.2.4 Harman International Industries Incorporated
    • 6.2.5 Visteon Corporation
    • 6.2.6 ZF Friedrichshafen AG
    • 6.2.7 Valeo SA
    • 6.2.8 Robert Bosch GmbH
    • 6.2.9 Verizon
    • 6.2.10 Infineon Technologies AG

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

  • 7.1 Integration With Advanced Driver Assistance Systems (ADAS)