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全球汽車數據管理市場2022-2028：市場預測（組件、數據類型、車輛類型、部署、應用）、COVID-19影響、區域前景、增長潛力、市場份額
市場調查報告書
商品編碼
1071367

全球汽車數據管理市場2022-2028：市場預測（組件、數據類型、車輛類型、部署、應用）、COVID-19影響、區域前景、增長潛力、市場份額

Automotive Data Management Market Size By Component, By Data Type, By Vehicle Type, By Deployment, By Application, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2022 - 2028
出版日期: | 出版商: Global Market Insights Inc. | 英文 382 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

由於對先進技術的投資增加，預計到 2028 年全球汽車數據管理市場將顯著增長。

增強型數據分析系統的日益普及也可能進一步推動預測期內的增長。

從組件來看，在軟件方面，2021 年數據集成事業部將佔據 30% 以上的市場份額，雲端計算、網路等最新技術的引進正在推進中，因此將持續到 2028 年。預計將以穩定的速度擴張。由於對聯網汽車的需求激增，預計到 2028 年，數據遷移行業的複合年增長率也將達到 25% 左右。

本報告探討了全球汽車數據管理市場、市場定義和概述、分析新型冠狀病毒感染 (COVID-19) 等市場影響因素、監管環境、技術和創新情況、市場規模轉變/預測，按類別/地區/主要國家、競爭環境、主要公司概況等細分。

目錄

第 1 章調查方法/調查範圍

第 2 章執行摘要

第 3 章汽車數據管理行業的思考

  • COVID-19 的影響
  • 產業演進
  • 產業生態系統分析
  • 科技創新形勢
  • 監管狀態
  • 自動駕駛汽車的現狀
  • 投資組合
  • 專利分析
  • 行業影響因素
    • 生長因子
    • 潛在風險和挑戰
  • 增長潛力分析
  • 波特分析
  • PESTEL 分析

第 4 章競爭態勢

  • 市場份額分析
  • 主要公司的競爭分析
  • 創新公司的競爭分析
  • 供應商招聘矩陣

第 5 章汽車數據管理市場：按組件

  • 主要趨勢
  • 軟件
    • 數據安全
    • 數據整合
    • 數據遷移
    • 數據質量
  • 服務
    • 專業服務
    • 託管服務

第 6 章汽車數據管理市場：按數據類型

  • 主要趨勢
  • 非結構化
  • 半結構化和結構化

第 7 章汽車數據管理市場：按車輛類型

  • 主要趨勢
  • 非自動駕駛
  • 自動駕駛

第 8 章汽車數據管理市場：按部署

  • 主要趨勢
  • 本機
  • 雲端

第 9 章汽車數據管理市場：按應用程序

  • 主要趨勢
  • 預測性維護
  • 保修分析
  • 安全和安保原則
  • 驅動和用戶行為分析
  • 經銷商業績分析
  • 其他

第 10 章汽車數據管理市場：按地區

  • 主要趨勢
  • 北美
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東/非洲

第 11 章公司簡介

  • Acerta Analytics Solutions, Inc.
  • Agnik, LLC
  • Amazon Web Services, Inc.
  • AMO Foundation
  • Amodo D.o.o
  • Caruso GmbH
  • ETL Solutions Limited
  • HEAVY.AI
  • IBM Corporation
  • Intellias
  • National Instruments Corporation
  • NetApp, Inc.
  • Otonomo Technologies Ltd.
  • SAP SE
  • Sibros Technologies, Inc.
  • Teradata Corporation
  • Vinli, Inc.
  • WEJO Limited
簡介目錄
Product Code: 5236

The global automotive data management market is expected to expand at a significant rate through 2028 owing to growing investments in advanced technologies. Additionally, rising adoption of enhanced data analytics systems is likely to further boost industry growth over the forecast timeline.

Recently, leading automotive data management service providers have been working to deliver innovative and integrated data management solutions for automobiles. To cite an instance, in April 2022, Woven Planet, a subsidiary of Toyota Motor Corp., followed Tesla Inc.'s footsteps to use low-cost cameras for developing self-driving technology. Woven Planet plans to employ the cameras to gather data and successfully program its self-driving software, a major milestone that the company believes would lower costs and ultimately scale up the technology.

The automotive data management market has been bifurcated on the basis of component, data type, vehicle type, deployment, application, and region. With respect to component, the industry has been divided into software and service. Under software, the market has been further classified into data integration, data security, data quality, and data migration.

The data integration sub-segment held a market share of over 30% in 2021 and is slated to expand at a sturdy rate over 2022-2028 due to increasing implementation of modern technologies, such as cloud computing and IoT, along the automotive sector. The data migration segment is expected to record a CAGR of approximately 25% through 2028 because of surging demand for connected automobiles.

Furthermore, the data quality segment is anticipated to progress at a substantial pace to attain a market share of around 20% by the end of the review timeline. Mounting need for improved data analytics solutions to enhance vehicle performance is set to facilitate segmental uptake.

Under service, the automotive data management market has been further segregated into professional service and managed service. In 2021, the professional service segment held about 80% market share and is projected to showcase considerable growth through 2028 driven by increased demand for data integration as well as maintenance services among automotive OEMs. The managed service segment is speculated to depict a robust CAGR of around 30% over the study timespan on account of high emphasis on outsourcing of data management by OEMs.

Based on application, the automotive data management market has been segmented into predictive maintenance, dealer performance analysis, safety and security management, warranty analytics, driver and user behavior analysis, and others. The warranty analytics segment is slated to grow at over 20% CAGR between 2022 and 2028 supported by shifting consumer preferences and soaring need to automate warranty claim management operations. In 2021, the dealer performance analysis segment garnered a market share of above 15% and is estimated to reach a sizable revenue by 2028 owing to escalating requirement to adopt vehicle safety features.

From the regional standpoint, the Latin America automotive data management industry is projected to observe steady growth at a CAGR of more than 25% through 2028.Prominent demand for connected automobiles across LATAM is likely to bolster product adoption in the region. Meanwhile, the Middle East & Africa automotive data management market is expected to progress at nearly 20% CAGR over the forecast period mainly due to rising investment in the automotive sector in the MEA region.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Scope and definition
  • 1.2 Methodology & forecast parameters
  • 1.3 COVID-19 impact
    • 1.3.1 North America
    • 1.3.2 Europe
    • 1.3.3 Asia Pacific
    • 1.3.4 Latin America
    • 1.3.5 MEA
  • 1.4 Regional trends
    • 1.4.1 North America
    • 1.4.2 Europe
    • 1.4.3 Asia Pacific
    • 1.4.4 Latin America
    • 1.4.5 MEA
  • 1.5 Data Sources
    • 1.5.1 Secondary
      • 1.5.1.1 Paid sources
      • 1.5.1.2 Public sources
    • 1.5.2 Primary
  • 1.6 Industry Gloassary

Chapter 2 Executive Summary

  • 2.1 Automotive data management industry 360 degree synopsis, 2018 - 2028
  • 2.2 Business trends
    • 2.2.1 Total Addressable Market
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Data type trends
  • 2.6 Vehicle type trends
  • 2.7 Deployment trends
  • 2.8 Application trends

Chapter 3 Automotive Data Management Industry Insights

  • 3.1 Introduction
  • 3.2 COVID-19 impact
    • 3.2.1 Impact by region
      • 3.2.1.1 North America
      • 3.2.1.2 Europe
      • 3.2.1.3 Asia Pacific
      • 3.2.1.4 Latin America
      • 3.2.1.5 Middle East & Africa
    • 3.2.2 Impact by competitive landscape
      • 3.2.2.1 Strategy
      • 3.2.2.2 Distribution
      • 3.2.2.3 Business growth
    • 3.2.3 Impact by value chain
      • 3.2.3.1 Research and development
      • 3.2.3.2 Manufacturing strategy
      • 3.2.3.3 Marketing
      • 3.2.3.4 Supply
  • 3.3 Automotive data management industry evolution
  • 3.4 Automotive data management industry ecosystem analysis
    • 3.4.1 Automotive data management solution provider
    • 3.4.2 Automotive data management service provider
    • 3.4.3 Cloud service providers
    • 3.4.4 Marketing and distribution channel
    • 3.4.5 End-Users
    • 3.4.6 Profit margin
    • 3.4.7 Vendor matrix
  • 3.5 Technology & innovation landscape
    • 3.5.1 Internet of things (IoT)
    • 3.5.2 Cloud computing
    • 3.5.3 AI & ML
  • 3.6 Regulatory landscape
    • 3.6.1 North America
      • 3.6.1.1 Automated Vehicles 3
      • 3.6.1.2 Federal Motor Vehicle Safety Standard
    • 3.6.2 Europe
      • 3.6.2.1 Data Protection Act 2018
      • 3.6.2.2 Eco-innovations and Law (EC) No
    • 3.6.3 Asia Pacific
      • 3.6.3.1 The Data Security Law ("DSL")
      • 3.6.3.2 The Personal Information Protection Law (PIPL)
    • 3.6.4 Latin America
      • 3.6.4.1 NR Law No
      • 3.6.4.2 Mexican Privacy Law
    • 3.6.5 MEA
      • 3.6.5.1 Article NO 95, Federal Traffic Act
      • 3.6.5.2 Toxic Use Reduction Act (TURA)
  • 3.7 Autonomous vehicle landscape
    • 3.7.1 Autonomous vehicle initiatives
      • 3.7.1.1 Tesla, Inc
      • 3.7.1.2 Waymo LLC
      • 3.7.1.3 Mobileye
      • 3.7.1.4 Ford Company
      • 3.7.1.5 General Motors Company
    • 3.7.2 Role of data management in autonomous driving
      • 3.7.2.1 Software
      • 3.7.2.2 Hardware
    • 3.7.3 Data collection approaches for autonomous vehicles
      • 3.7.3.1 Level 1
      • 3.7.3.2 Level 2
      • 3.7.3.3 Level 3
      • 3.7.3.4 Level 4
      • 3.7.3.5 Level 5
    • 3.7.4 Cost optimization approach towards automotive data management
  • 3.8 Investment portfolio
  • 3.9 Patent analysis
  • 3.10 Industry impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Emergence of autonomous vehicles
      • 3.10.1.2 Increasing investments in the automotive sector
      • 3.10.1.3 Rising number of electronic products in autonomous vehicles
      • 3.10.1.4 Intervention of innovative technologies for advanced user interface
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 Increase in cybersecurity threats for connected vehicles
      • 3.10.2.2 Maintenance & troubleshooting of automotive data management software
  • 3.11 Growth potential analysis
  • 3.12 Porter's analysis
    • 3.12.1 Threat of new entrant
    • 3.12.2 Bargaining power of supplier
    • 3.12.3 Bargaining power of buyer
    • 3.12.4 Threat of substitution
  • 3.13 PESTEL analysis
    • 3.13.1 Political
    • 3.13.2 Economical
    • 3.13.3 Social
    • 3.13.4 Technological
    • 3.13.5 Legal
    • 3.13.6 Environmental

Chapter 4 Competitive Landscape, 2021

  • 4.1 Introduction
  • 4.2 Market share analysis, 2021
  • 4.3 Competive analysis of key market players, 2021
    • 4.3.1 Chart key
    • 4.3.2 NetApp, Inc.
    • 4.3.3 SAP SE
    • 4.3.4 National Instruments Corporation
    • 4.3.5 IBM Corporation
    • 4.3.6 Amazon Web Services
  • 4.4 Competive analysis of innovative players, 2021
    • 4.4.1 Teradata
    • 4.4.2 Wejo Limited
    • 4.4.3 Intellias
    • 4.4.4 Agnik LLC
    • 4.4.5 Otonomo Technologies Ltd.
  • 4.5 Vendor adoption matrix

Chapter 5 Automotive Data Management Market, By Component

  • 5.1 Key trends, by component
  • 5.2 Software
    • 5.2.1 Market estimates and forecast, 2018 - 2028
    • 5.2.2 Data security
      • 5.2.2.1 Market estimates and forecast, 2018 - 2028
    • 5.2.3 Data integration
      • 5.2.3.1 Market estimates and forecast, 2018 - 2028
    • 5.2.4 Data migration
      • 5.2.4.1 Market estimates and forecast, 2018 - 2028
    • 5.2.5 Data quality
      • 5.2.5.1 Market estimates and forecast, 2018 - 2028
  • 5.3 Service
    • 5.3.1 Market estimates and forecast, 2018 - 2028
    • 5.3.2 Professional service
      • 5.3.2.1 Market estimates and forecast, 2018 - 2028
    • 5.3.3 Managed service
      • 5.3.3.1 Market estimates and forecast, 2018 - 2028

Chapter 6 Automotive Data Management Market, By Data Type

  • 6.1 Key trends, by data type
  • 6.2 Unstructured
    • 6.2.1 Market estimates and forecast, 2018 - 2028
  • 6.3 Semi-structured and structured
    • 6.3.1 Market estimates and forecast, 2018 - 2028

Chapter 7 Automotive Data Management Market, By Vehicle Type

  • 7.1 Key trends, by vehicle type
  • 7.2 Non-Autonomous
    • 7.2.1 Market estimates and forecast, 2018 - 2028
  • 7.3 Autonomous
    • 7.3.1 Market estimates and forecast, 2018 - 2028

Chapter 8 Automotive Data Management Market, By Deployment

  • 8.1 Key trends, by deployment
  • 8.2 On-premise
    • 8.2.1 Market estimates and forecast, 2018 - 2028
  • 8.3 Cloud
    • 8.3.1 Market estimates and forecast, 2018 - 2028

Chapter 9 Automotive Data Management Market, By Application

  • 9.1 Key trends, by application
  • 9.2 Predictive maintenance
    • 9.2.1 Market estimates and forecast, 2018 - 2028
  • 9.3 Warranty analytics
    • 9.3.1 Market estimates and forecast, 2018 - 2028
  • 9.4 Safety and security management
    • 9.4.1 Market estimates and forecast, 2018 - 2028
  • 9.5 Driver and user behavior analysis
    • 9.5.1 Market estimates and forecast, 2018 - 2028
  • 9.6 Dealer performance analysis
    • 9.6.1 Market estimates and forecast, 2018 - 2028
  • 9.7 Others
    • 9.7.1 Market estimates and forecast, 2018 - 2028

Chapter 10 Automotive Data Management Market, By Region

  • 10.1 Key trends, by region
  • 10.2 North America
    • 10.2.1 Market estimates and forecast, 2018 - 2028
    • 10.2.2 Market estimates and forecast, by component, 2018 - 2028
      • 10.2.2.1 Market estimates and forecast, by software, 2018 - 2028
      • 10.2.2.2 Market estimates and forecast, by service, 2018 - 2028
    • 10.2.3 Market estimates and forecast, by data type, 2018 - 2028
    • 10.2.4 Market estimates and forecast, by vehicle type, 2018 - 2028
    • 10.2.5 Market estimates and forecast, by deployment, 2018 - 2028
    • 10.2.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.2.7 U.S.
      • 10.2.7.1 Market estimates and forecast, 2018 - 2028
      • 10.2.7.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.2.7.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.2.7.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.2.7.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.2.7.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.2.7.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.2.7.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.2.8 Canada
      • 10.2.8.1 Market estimates and forecast, 2018 - 2028
      • 10.2.8.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.2.8.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.2.8.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.2.8.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.2.8.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.2.8.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.2.8.6 Market estimates and forecast, by application, 2018 - 2028
  • 10.3 Europe
    • 10.3.1 Market estimates and forecast, 2018 - 2028
    • 10.3.2 Market estimates and forecast, by component, 2018 - 2028
      • 10.3.2.1 Market estimates and forecast, by software, 2018 - 2028
      • 10.3.2.2 Market estimates and forecast, by service, 2018 - 2028
    • 10.3.3 Market estimates and forecast, by data type, 2018 - 2028
    • 10.3.4 Market estimates and forecast, by vehicle type, 2018 - 2028
    • 10.3.5 Market estimates and forecast, by deployment, 2018 - 2028
    • 10.3.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.3.7 UK
      • 10.3.7.1 Market estimates and forecast, 2018 - 2028
      • 10.3.7.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.3.7.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.3.7.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.3.7.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.3.7.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.3.7.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.3.7.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.3.8 Germany
      • 10.3.8.1 Market estimates and forecast, 2018 - 2028
      • 10.3.8.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.3.8.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.3.8.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.3.8.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.3.8.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.3.8.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.3.8.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.3.9 France
      • 10.3.9.1 Market estimates and forecast, 2018 - 2028
      • 10.3.9.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.3.9.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.3.9.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.3.9.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.3.9.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.3.9.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.3.9.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.3.10 Italy
      • 10.3.10.1 Market estimates and forecast, 2018 - 2028
      • 10.3.10.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.3.10.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.3.10.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.3.10.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.3.10.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.3.10.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.3.10.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.3.11 Spain
      • 10.3.11.1 Market estimates and forecast, 2018 - 2028
      • 10.3.11.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.3.11.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.3.11.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.3.11.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.3.11.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.3.11.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.3.11.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.3.12 Netherlands
      • 10.3.12.1 Market estimates and forecast, 2018 - 2028
      • 10.3.12.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.3.12.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.3.12.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.3.12.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.3.12.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.3.12.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.3.12.6 Market estimates and forecast, by application, 2018 - 2028
  • 10.4 Asia Pacific
    • 10.4.1 Market estimates and forecast, 2018 - 2028
    • 10.4.2 Market estimates and forecast, by component, 2018 - 2028
      • 10.4.2.1 Market estimates and forecast, by software, 2018 - 2028
      • 10.4.2.2 Market estimates and forecast, by service, 2018 - 2028
    • 10.4.3 Market estimates and forecast, by data type, 2018 - 2028
    • 10.4.4 Market estimates and forecast, by vehicle type, 2018 - 2028
    • 10.4.5 Market estimates and forecast, by deployment, 2018 - 2028
    • 10.4.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.4.7 China
      • 10.4.7.1 Market estimates and forecast, 2018 - 2028
      • 10.4.7.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.4.7.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.4.7.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.4.7.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.4.7.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.4.7.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.4.7.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.4.8 India
      • 10.4.8.1 Market estimates and forecast, 2018 - 2028
      • 10.4.8.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.4.8.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.4.8.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.4.8.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.4.8.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.4.8.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.4.8.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.4.9 Japan
      • 10.4.9.1 Market estimates and forecast, 2018 - 2028
      • 10.4.9.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.4.9.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.4.9.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.4.9.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.4.9.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.4.9.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.4.9.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.4.10 South Korea
      • 10.4.10.1 Market estimates and forecast, 2018 - 2028
      • 10.4.10.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.4.10.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.4.10.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.4.10.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.4.10.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.4.10.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.4.10.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.4.11 Australia
      • 10.4.11.1 Market estimates and forecast, 2018 - 2028
      • 10.4.11.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.4.11.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.4.11.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.4.11.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.4.11.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.4.11.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.4.11.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.4.12 Singapore
      • 10.4.12.1 Market estimates and forecast, 2018 - 2028
      • 10.4.12.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.4.12.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.4.12.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.4.12.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.4.12.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.4.12.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.4.12.6 Market estimates and forecast, by application, 2018 - 2028
  • 10.5 Latin America
    • 10.5.1 Market estimates and forecast, 2018 - 2028
    • 10.5.2 Market estimates and forecast, by component, 2018 - 2028
      • 10.5.2.1 Market estimates and forecast, by software, 2018 - 2028
      • 10.5.2.2 Market estimates and forecast, by service, 2018 - 2028
    • 10.5.3 Market estimates and forecast, by data type, 2018 - 2028
    • 10.5.4 Market estimates and forecast, by vehicle type, 2018 - 2028
    • 10.5.5 Market estimates and forecast, by deployment, 2018 - 2028
    • 10.5.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.5.7 Brazil
      • 10.5.7.1 Market estimates and forecast, 2018 - 2028
      • 10.5.7.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.5.7.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.5.7.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.5.7.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.5.7.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.5.7.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.5.7.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.5.8 Mexico
      • 10.5.8.1 Market estimates and forecast, 2018 - 2028
      • 10.5.8.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.5.8.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.5.8.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.5.8.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.5.8.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.5.8.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.5.8.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.5.9 Argentina
      • 10.5.9.1 Market estimates and forecast, 2018 - 2028
      • 10.5.9.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.5.9.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.5.9.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.5.9.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.5.9.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.5.9.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.5.9.6 Market estimates and forecast, by application, 2018 - 2028
  • 10.6 MEA
    • 10.6.1 Market estimates and forecast, 2018 - 2028
    • 10.6.2 Market estimates and forecast, by component, 2018 - 2028
      • 10.6.2.1 Market estimates and forecast, by software, 2018 - 2028
      • 10.6.2.2 Market estimates and forecast, by service, 2018 - 2028
    • 10.6.3 Market estimates and forecast, by data type, 2018 - 2028
    • 10.6.4 Market estimates and forecast, by vehicle type, 2018 - 2028
    • 10.6.5 Market estimates and forecast, by deployment, 2018 - 2028
    • 10.6.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.6.7 South Africa
      • 10.6.7.1 Market estimates and forecast, 2018 - 2028
      • 10.6.7.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.6.7.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.6.7.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.6.7.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.6.7.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.6.7.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.6.7.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.6.8 Saudi Arabia
      • 10.6.8.1 Market estimates and forecast, 2018 - 2028
      • 10.6.8.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.6.8.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.6.8.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.6.8.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.6.8.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.6.8.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.6.8.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.6.9 UAE
      • 10.6.9.1 Market estimates and forecast, 2018 - 2028
      • 10.6.9.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.6.9.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.6.9.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.6.9.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.6.9.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.6.9.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.6.9.6 Market estimates and forecast, by application, 2018 - 2028
    • 10.6.10 Israel
      • 10.6.10.1 Market estimates and forecast, 2018 - 2028
      • 10.6.10.2 Market estimates and forecast, by component, 2018 - 2028
        • 10.6.10.2.1 Market estimates and forecast, by software, 2018 - 2028
        • 10.6.10.2.2 Market estimates and forecast, by service, 2018 - 2028
      • 10.6.10.3 Market estimates and forecast, by data type, 2018 - 2028
      • 10.6.10.4 Market estimates and forecast, by vehicle type, 2018 - 2028
      • 10.6.10.5 Market estimates and forecast, by deployment, 2018 - 2028
      • 10.6.10.6 Market estimates and forecast, by application, 2018 - 2028

Chapter 11 Company Profiles

  • 11.1 Acerta Analytics Solutions, Inc.
    • 11.1.1 Business Overview
    • 11.1.2 Financial Data
    • 11.1.3 Product Landscape
    • 11.1.4 Strategic Outlook
    • 11.1.5 SWOT Analysis
  • 11.2 Agnik, LLC
    • 11.2.1 Business Overview
    • 11.2.2 Financial Data
    • 11.2.3 Product Landscape
    • 11.2.4 Strategic Outlook
    • 11.2.5 SWOT Analysis
  • 11.3 Amazon Web Services, Inc.
    • 11.3.1 Business Overview
    • 11.3.2 Financial Data
    • 11.3.3 Product Landscape
    • 11.3.4 Strategic Outlook
    • 11.3.5 SWOT Analysis
  • 11.4 AMO Foundation
    • 11.4.1 Business Overview
    • 11.4.2 Financial Data
    • 11.4.3 Product Landscape
    • 11.4.4 Strategic Outlook
    • 11.4.5 SWOT Analysis
  • 11.5 Amodo D.o.o
    • 11.5.1 Business Overview
    • 11.5.2 Financial Data
    • 11.5.3 Product Landscape
    • 11.5.4 Strategic Outlook
    • 11.5.5 SWOT Analysis
  • 11.6 Caruso GmbH
    • 11.6.1 Business Overview
    • 11.6.2 Financial Data
    • 11.6.3 Product Landscape
    • 11.6.4 Strategic Outlook
    • 11.6.5 SWOT Analysis
  • 11.7 ETL Solutions Limited
    • 11.7.1 Business Overview
    • 11.7.2 Financial Data
    • 11.7.3 Product Landscape
    • 11.7.4 Strategic Outlook
    • 11.7.5 SWOT Analysis
  • 11.8 HEAVY.AI
    • 11.8.1 Business Overview
    • 11.8.2 Financial Data
    • 11.8.3 Product Landscape
    • 11.8.4 Strategic Outlook
    • 11.8.5 SWOT Analysis
  • 11.9 IBM Corporation
    • 11.9.1 Business Overview
    • 11.9.2 Financial Data
    • 11.9.3 Product Landscape
    • 11.9.4 Strategic Outlook
    • 11.9.5 SWOT Analysis
  • 11.10 Intellias
    • 11.10.1 Business Overview
    • 11.10.2 Financial Data
    • 11.10.3 Product Landscape
    • 11.10.4 Strategic Outlook
    • 11.10.5 SWOT Analysis
  • 11.11 National Instruments Corporation
    • 11.11.1 Business Overview
    • 11.11.2 Financial Data
    • 11.11.3 Product Landscape
    • 11.11.4 Strategic Outlook
    • 11.11.5 SWOT Analysis
  • 11.12 NetApp, Inc.
    • 11.12.1 Business Overview
    • 11.12.2 Financial Data
    • 11.12.3 Product Landscape
    • 11.12.4 Strategic Outlook
    • 11.12.5 SWOT Analysis
  • 11.13 Otonomo Technologies Ltd.
    • 11.13.1 Business Overview
    • 11.13.2 Financial Data
    • 11.13.3 Product Landscape
    • 11.13.4 Strategic Outlook
    • 11.13.5 SWOT Analysis
  • 11.14 SAP SE
    • 11.14.1 Business Overview
    • 11.14.2 Financial Data
    • 11.14.3 Product Landscape
    • 11.14.4 Strategic Outlook
    • 11.14.5 SWOT Analysis
  • 11.15 Sibros Technologies, Inc.
    • 11.15.1 Business Overview
    • 11.15.2 Financial Data
    • 11.15.3 Product Landscape
    • 11.15.4 Strategic Outlook
    • 11.15.5 SWOT Analysis
  • 11.16 Teradata Corporation
    • 11.16.1 Business Overview
    • 11.16.2 Financial Data
    • 11.16.3 Product Landscape
    • 11.16.4 Strategic Outlook
    • 11.16.5 SWOT Analysis
  • 11.17 Vinli, Inc.
    • 11.17.1 Business Overview
    • 11.17.2 Financial Data
    • 11.17.3 Product Landscape
    • 11.17.4 Strategic Outlook
    • 11.17.5 SWOT Analysis
  • 11.18 WEJO Limited
    • 11.18.1 Business Overview
    • 11.18.2 Financial Data
    • 11.18.3 Product Landscape
    • 11.18.4 Strategic Outlook
    • 11.18.5 SWOT Analysis