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市场调查报告书
商品编码
1666933

汽车数据管理市场机会、成长动力、产业趋势分析与预测 2025 - 2034

Automotive Data Management Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球汽车数据管理市场价值为 15 亿美元,预计将实现显着增长,预计 2025 年至 2034 年的复合年增长率为 19.2%。这一增长是由联网汽车和物联网 (IoT) 的快速融合推动的,它们共同产生大量资料,需要高效的储存、处理和分析解决方案。汽车製造商越来越多地采用先进的资料管理系统,以满足消费者对个人化驾驶体验、即时车辆性能洞察和增强安全措施日益增长的需求。这些进步反映了产业向智慧互联汽车生态系统的更广泛转变。

汽车数据管理市场 - IMG1

远端资讯处理和车队管理技术的部署进一步扩大了市场的成长轨迹。这些系统可以即时监控车辆健康状况、优化物流运营并加强安全协议,从而显着降低营运成本并提高整体效率。包括叫车和汽车共享平台在内的共享旅游服务的激增也成为市场扩张的主要推动力。这些服务产生大量资料流,需要强大的管理解决方案来确保无缝运​​行和用户满意度。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 15亿美元
预测值 94亿美元
复合年增长率 19.2%

市场分为软体和服务,资料软体将在 2024 年占据 75% 的主导份额。汽车软体解决方案促进即时分析、预测性维护和简化的车队管理。其可扩展性使企业能够应对汽车领域不断变化的复杂性,将软体定位为汽车产业不可或缺的元素。

根据资料类型,市场分为结构化资料、半结构化资料和非结构化资料。 2024 年,非结构化资料将占据 75% 的市场份额,占据市场主导地位。此类别包括多样化且有价值的信息,例如感测器资料、驾驶员行为分析和来自车载系统的多媒体内容。透过利用非结构化资料,汽车製造商可以获得可操作的见解,以增强车辆​​性能、安全功能和整体用户体验,使其成为当代资料管理策略的基石。

2024 年,美国汽车资料管理市场占全球份额的 75%,资料到 2034 年将达到 25 亿美元。美国拥有成熟的资料收集和分析生态系统,不断在即时分析和车辆智慧领域取得突破,巩固了其在汽车资料管理领域的全球领先地位。

目录

第 1 章:方法论与范围

  • 研究设计
    • 研究方法
    • 资料收集方法
  • 基础估计和计算
    • 基准年计算
    • 市场估计的主要趋势
  • 预测模型
  • 初步研究与验证
    • 主要来源
    • 资料探勘来源
  • 市场定义

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商概况
    • 软体供应商
    • 服务提供者
    • 经销商
    • 最终用途
  • 利润率分析
  • 成本明细
  • 技术与创新格局
  • 重要新闻及倡议
  • 专利格局
  • 监管格局
  • 衝击力
    • 成长动力
    • 产业陷阱与挑战
  • 成长潜力分析
  • 波特的分析
  • PESTEL 分析

第四章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第五章:市场估计与预测:按组件,2021 - 2034 年

  • 主要趋势
  • 软体
    • 资料安全
    • 数据集成
    • 资料迁移
    • 数据品质
  • 服务
    • 专业服务
    • 託管服务

第六章:市场估计与预测:按数据,2021 - 2034 年

  • 主要趋势
  • 非结构化
  • 半结构化和结构化

第七章:市场估计与预测:依车型,2021 - 2034 年

  • 主要趋势
  • 非自治
  • 自主

第 8 章:市场估计与预测:按部署,2021 - 2034 年

  • 主要趋势
  • 本地

第 9 章:市场估计与预测:按应用,2021 - 2034 年

  • 主要趋势
  • 预测性维护
  • 保固分析
  • 安全与安保管理
  • 驾驶员和使用者行为分析
  • 经销商绩效分析
  • 其他的

第 10 章:市场估计与预测:按地区,2021 - 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 俄罗斯
    • 北欧
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东及非洲
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第 11 章:公司简介

  • Acerta Analytics Solutions
  • Agnik
  • AWS
  • AMO Foundation
  • Amodo Doo
  • Caruso
  • ETL Solutions
  • HEAVY.AI
  • IBM
  • Intellias
  • National Instruments
  • NetApp
  • Otonomo Technologies
  • SAP SE
  • Sibros Technologies
  • Teradata
  • Vinli
  • WEJO
简介目录
Product Code: 5236

The Global Automotive Data Management Market, valued at USD 1.5 billion in 2024, is poised for remarkable growth with a projected CAGR of 19.2% from 2025 to 2034. This surge is fueled by the rapid integration of connected vehicles and the Internet of Things (IoT), which collectively generate massive data volumes requiring efficient storage, processing, and analysis solutions. Automakers are increasingly adopting advanced data management systems to meet rising consumer demands for personalized driving experiences, real-time vehicle performance insights, and enhanced safety measures. These advancements reflect a broader industry shift toward intelligent and connected automotive ecosystems.

Automotive Data Management Market - IMG1

The deployment of telematics and fleet management technologies has further amplified the market's growth trajectory. These systems empower real-time vehicle health monitoring, optimize logistics operations, and bolster safety protocols, significantly reducing operational costs while enhancing overall efficiency. The proliferation of shared mobility services, including ride-hailing and car-sharing platforms, has also emerged as a key contributor to the market's expansion. These services produce extensive data streams that demand robust management solutions, ensuring seamless operations and user satisfaction.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$1.5 Billion
Forecast Value$9.4 Billion
CAGR19.2%

The market is divided into software and services, with software commanding a dominant 75% share in 2024. This segment is forecasted to generate USD 7 billion by 2034, driven by its critical role in processing the immense data output of connected vehicles. Automotive software solutions facilitate real-time analytics, predictive maintenance, and streamlined fleet management. Their scalability enables businesses to navigate the ever-evolving complexities of the automotive landscape, positioning software as an indispensable element of the industry.

On the basis of data type, the market is categorized into structured, semi-structured, and unstructured data. In 2024, unstructured data led the market with a commanding 75% share. This category includes diverse and valuable information such as sensor data, driver behavior analytics, and multimedia content from in-vehicle systems. By leveraging unstructured data, automakers can derive actionable insights to enhance vehicle performance, safety features, and overall user experiences, making it a cornerstone of contemporary data management strategies.

The U.S. automotive data management market accounted for 75% of the global share in 2024 and is projected to reach USD 2.5 billion by 2034. The country's leadership in connected vehicle innovations, underpinned by a robust automotive manufacturing base and advanced data infrastructure, drives this growth. With an established ecosystem for data collection and analysis, the U.S. continues to spearhead breakthroughs in real-time analytics and vehicle intelligence, solidifying its role as a global leader in automotive data management.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Software providers
    • 3.2.2 Service providers
    • 3.2.3 Distributors
    • 3.2.4 End use
  • 3.3 Profit margin analysis
  • 3.4 Cost breakdown
  • 3.5 Technology & innovation landscape
  • 3.6 Key news & initiatives
  • 3.7 Patent landscape
  • 3.8 Regulatory landscape
  • 3.9 Impact forces
    • 3.9.1 Growth drivers
    • 3.9.2 Industry pitfalls & challenges
  • 3.10 Growth potential analysis
  • 3.11 Porter’s analysis
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Mn)

  • 5.1 Key trends
  • 5.2 Software
    • 5.2.1 Data security
    • 5.2.2 Data integration
    • 5.2.3 Data migration
    • 5.2.4 Data quality
  • 5.3 Service
    • 5.3.1 Professional service
    • 5.3.2 Managed service

Chapter 6 Market Estimates & Forecast, By Data, 2021 - 2034 ($Mn)

  • 6.1 Key trends
  • 6.2 Unstructured
  • 6.3 Semi-structured and structured

Chapter 7 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Mn)

  • 7.1 Key trends
  • 7.2 Non-autonomous
  • 7.3 Autonomous

Chapter 8 Market Estimates & Forecast, By Deployment, 2021 - 2034 ($Mn)

  • 8.1 Key trends
  • 8.2 On-premise
  • 8.3 Cloud

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn)

  • 9.1 Key trends
  • 9.2 Predictive maintenance
  • 9.3 Warranty analytics
  • 9.4 Safety and security management
  • 9.5 Driver and user behavior analysis
  • 9.6 Dealer performance analysis
  • 9.7 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Spain
    • 10.3.5 Italy
    • 10.3.6 Russia
    • 10.3.7 Nordics
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Southeast Asia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

  • 11.1 Acerta Analytics Solutions
  • 11.2 Agnik
  • 11.3 AWS
  • 11.4 AMO Foundation
  • 11.5 Amodo D.o.o
  • 11.6 Caruso
  • 11.7 ETL Solutions
  • 11.8 HEAVY.AI
  • 11.9 IBM
  • 11.10 Intellias
  • 11.11 National Instruments
  • 11.12 NetApp
  • 11.13 Otonomo Technologies
  • 11.14 SAP SE
  • 11.15 Sibros Technologies
  • 11.16 Teradata
  • 11.17 Vinli
  • 11.18 WEJO