Market Research

Automotive Data Management Market Size By Component (Software [Data Security, Data Integration, Data Migration, Data Quality], Service [Professional Service, Managed Service]), By Data Type (Unstructured, Semi-structured and Structured), By Vehicle Type (

Best Price Guarantee Length Publisher Published Date SKU
from $5,150 382 Pages Global Market Insights March, 2022 GMI17122426
Best Price Guarantee
Price from $5,150
Length 382 Pages
Publisher Global Market Insights
Published Date March, 2022
SKU GMI17122426

Automotive Data Management Market Size By Component (Software [Data Security, Data Integration, Data Migration, Data Quality], Service [Professional Service, Managed Service]), By Data Type (Unstructured, Semi-structured and Structured), By Vehicle Type (Autonomous, Non-autonomous), By Deployment (On-premise, Cloud), By Application (Predictive Maintenance, Warranty Analytics, Safety and Security Management, Driver and User Behavior Analytics, Dealer Performance Analysis), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2022 - 2028

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.


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

$5,150
$9,150

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