Report Content
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 360º 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
