Product Code: 3020
The global usage-based insurance market is set to witness steady growth through 2032 owing to the shift in focus toward remote diagnostics systems.
The widespread use of embedded telematics and cellphones with built-in car connectivity systems give insurers a way to cut risk and provide policyholders with real-time service. The market players in the usage-based insurance sector are primarily concentrating on the implementation of cutting-edge technologies and insurance programs around the globe.
For instance, in August 2021, Unipol Group, under its direct insurance subsidiary Linear Assicurazioni, launched the first ever 'Try-Before-You-Buy' system for Italian drivers, in collaboration with smartphone telematics supplier Cambridge Mobile Telematics (CMT).
The usage-based insurance industry has been divided in terms of package type, PAYD, technology, vehicle, and region.
On the basis of package, PAYD segment is anticipated to gain appreciable returns through 2032 given its umpteen benefits. The insurance focuses on monitoring the mileage driven and pricing policies based on that mileage.
Considering the PAYD spectrum, telematics- based insurance market is foreseen to account for notable gains between 2023-2032.
Based on technology, the black box segment is slated to grow at more than 16.5% CAGR from 2023 to 2032. In many nations, insurance regulators place a strong emphasis on installing black boxes in vehicles to provide UBI services. The Insurance Regulatory and Development Authority of India (IRDAI), for instance, has published a document describing the requirements and difficulties of implementing telematics-based insurance services in India.
Commercial vehicles are likely to depict significant demand for UBI technologies, impelling the global market dynamics. These technologies are used to increase the driving efficiency via real-time communications. Moreover, rising commercial vehicle production and sales would further supplement the segmental growth.
From the regional perspective, the Asia Pacific usage-based insurance industry is expected to expand at more than 27.5% CAGR from 2023 to 2032. The APAC region is projected to have a sizeable automobile usage-based insurance market share because of the improved robust telecommunications infrastructure as well as mobile communications technology. To help vehicle owners save money on their insurance premiums, the significant communication service providers in the area have teamed up with insurance providers to establish a UBI program.
The competitive landscape of the usage-based insurance industry is highly consolidated. The organizations present in the marketplace are AXA Equitable Life Insurance Company, ARGO Data Resource Corporation, Aviva plc, Allstate Insurance Company, and others.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Scope & definitions
- 1.2 Methodology and 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 Middle East & Africa
- 1.4 Data Sources
- 1.4.1 Secondary
- 1.4.2 Primary
- 1.5 Industry Glossary
Chapter 2 Executive Summary
- 2.1 Usage-based insurance industry 360 degree synopsis, 2018 - 2032
- 2.2 Business trends
- 2.2.1 Total addressable Market (TAM) trends, 2023 - 2032
- 2.3 Regional trends
- 2.4 Package trends
- 2.5 Technology trends
- 2.6 Vehicle type trends
Chapter 3 Usage-based Insurance Industry Insights
- 3.1 Introduction
- 3.2 Impact of COVID-19 outbreak
- 3.2.1 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 Strategies by major players to regain pre-COVID level growth
- 3.3 Impact analysis of Russia-Ukraine war
- 3.4 Usage-based insurance industry ecosystem analysis
- 3.4.1 Insurance companies
- 3.4.2 Automotive OEMs
- 3.4.3 Telematics solution providers
- 3.4.4 Smartphone providers
- 3.4.5 Telecom service providers
- 3.4.6 OBD device manufacturer
- 3.4.7 End-users
- 3.4.8 Vendor matrix
- 3.5 Advantages/features of UBI
- 3.6 Working/Architecture of UBI
- 3.7 UBI policy penetration (2022-2032)
- 3.7.1 North America
- 3.7.2 Europe
- 3.7.3 Asia Pacific
- 3.7.4 Latin America
- 3.7.5 MEA
- 3.8 UBI vs traditional automotive insurance
- 3.8.1 North America
- 3.8.2 Europe
- 3.8.3 Asia Pacific
- 3.8.4 Latin America
- 3.8.5 MEA
- 3.9 Technology & innovation landscape
- 3.9.1 IoT
- 3.9.2 AI and machine learning
- 3.9.3 5G
- 3.9.4 Manage-How-You-Drive (MHYD)
- 3.10 Patent analysis
- 3.11 Investment portfolio
- 3.12 Industry news
- 3.12.1 North America
- 3.12.2 Europe
- 3.12.3 Asia Pacific
- 3.12.4 Latin America
- 3.12.5 Middle East & Africa
- 3.13 OBD Standards
- 3.14 Regulatory landscape
- 3.14.1 International Standards
- 3.14.2 North America
- 3.14.3 Europe
- 3.14.4 Asia Pacific
- 3.14.5 Latin America
- 3.14.6 MEA
- 3.15 Industry impact forces
- 3.15.1 Growth drivers
- 3.15.1.1 Growth of the automobile industry
- 3.15.1.2 Shifting focus towards remote diagnostic technology
- 3.15.1.3 Growth in the number of the connected cars bringing new UBI opportunities
- 3.15.1.4 Rising penetration of smartphones integrated with vehicle connectivity systems
- 3.15.1.5 Rapid use of UBI by insurance companies to improve profitability
- 3.15.1.6 Growing trend of Try-Before-You-Buy (TBYB) insurance model
- 3.15.2 Industry pitfalls & challenges
- 3.15.2.1 Data security and privacy concerns
- 3.15.2.2 Data quality issues with smartphone based UBI system
- 3.15.2.3 Increasing compatibility issues
- 3.16 Growth potential analysis
- 3.17 Porter's analysis
- 3.17.1 Bargaining power of suppliers
- 3.17.2 Bargaining power of buyers
- 3.17.3 The threat of new entrants
- 3.17.4 The threat of substitute
- 3.17.5 Competitive rivalry
- 3.18 PESTEL analysis
- 3.18.1 Political
- 3.18.2 Economic
- 3.18.3 Social
- 3.18.4 Technological
- 3.18.5 Legal
- 3.18.6 Environmental
Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company Market share, by revenue, 2022
- 4.2.1 Competitive analysis of major players, 2022
- 4.2.1.1 Allstate Insurance Company
- 4.2.1.2 Liberty Mutual Insurance
- 4.2.1.3 Nationwide Mutual Insurance Company
- 4.2.1.4 Progressive Corporation
- 4.2.1.5 State Farm Mutual Automobile Insurance Company
- 4.2.1.6 UnipolSai Assicurazioni S.p.A.
- 4.2.2 Competitive analysis of Market innovators, 2022
- 4.2.2.1 Allianz SE
- 4.2.2.2 AXA
- 4.2.2.3 Insure The Box Limited
- 4.2.2.4 Metromile Inc.
- 4.2.3 Vendor adoption matrix
- 4.2.4 Strategic outlook matrix
Chapter 5 Usage-based Insurance Market, By Package
- 5.1 Key trends, by package
- 5.2 PHYD
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.3 PAYD
- 5.3.1 Market estimates and forecast, 2018 - 2032
- 5.3.2 Device-based
- 5.3.2.1 Market estimates and forecast, 2018 - 2032
- 5.3.3 Telematics-based
- 5.3.3.1 Market estimates and forecast, 2018 - 2032
Chapter 6 Usage-based Insurance Market, By Technology
- 6.1 Key trends, by technology
- 6.2 OBD-II
- 6.2.1 Market estimates and forecast, 2018 - 2032
- 6.3 Black Box
- 6.3.1 Market estimates and forecast, 2018 - 2032
- 6.4 Smartphone
- 6.4.1 Market estimates and forecast, 2018 - 2032
- 6.5 Embedded telematics
- 6.5.1 Market estimates and forecast, 2018 - 2032
Chapter 7 Usage-based Insurance Market, By Vehicle Type
- 7.1 Key trends, by vehicle type
- 7.2 Passenger vehicle
- 7.2.1 Market estimates and forecast, 2018 - 2032
- 7.2.2 Market estimates and forecast by technology, 2018 - 2032
- 7.3 Commercial vehicle
- 7.3.1 Market estimates and forecast, 2018 - 2032
- 7.3.2 Market estimates and forecast by technology, 2018 - 2032
Chapter 8 Usage-based Insurance Market, By Region
- 8.1 Key trends, by region
- 8.2 North America
- 8.2.1 Market estimates and forecast, 2018- 2032
- 8.2.2 Market estimates & forecast, by package, 2018- 2032
- 8.2.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.2.3 Market estimates & forecast, by technology, 2018- 2032
- 8.2.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.2.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.2.5 U.S.
- 8.2.5.1 Market estimates and forecast, 2018- 2032
- 8.2.5.2 Market estimates & forecast, by package, 2018- 2032
- 8.2.5.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.2.5.3 Market estimates & forecast, by technology, 2018- 2032
- 8.2.5.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.2.5.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.2.6 Canada
- 8.2.6.1 Market estimates and forecast, 2018- 2032
- 8.2.6.2 Market estimates & forecast, by package, 2018- 2032
- 8.2.6.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.2.6.3 Market estimates & forecast, by technology, 2018- 2032
- 8.2.6.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.2.6.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3 Europe
- 8.3.1 Market estimates and forecast, 2018- 2032
- 8.3.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.5 UK
- 8.3.5.1 Market estimates and forecast, 2018- 2032
- 8.3.5.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.5.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.5.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.5.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.5.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.6 Germany
- 8.3.6.1 Market estimates and forecast, 2018- 2032
- 8.3.6.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.6.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.6.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.6.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.6.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.7 France
- 8.3.7.1 Market estimates and forecast, 2018- 2032
- 8.3.7.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.7.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.7.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.7.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.7.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.8 Italy
- 8.3.8.1 Market estimates and forecast, 2018- 2032
- 8.3.8.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.8.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.8.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.8.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.8.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.9 Spain
- 8.3.9.1 Market estimates and forecast, 2018- 2032
- 8.3.9.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.9.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.9.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.9.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.9.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.10 Netherlands
- 8.3.10.1 Market estimates and forecast, 2018- 2032
- 8.3.10.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.10.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.10.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.10.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.10.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.3.11 Austria
- 8.3.11.1 Market estimates and forecast, 2018- 2032
- 8.3.11.2 Market estimates & forecast, by package, 2018- 2032
- 8.3.11.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.3.11.3 Market estimates & forecast, by technology, 2018- 2032
- 8.3.11.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.3.11.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4 Asia Pacific
- 8.4.1 Market estimates and forecast, 2018- 2032
- 8.4.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4.5 China
- 8.4.5.1 Market estimates and forecast, 2018- 2032
- 8.4.5.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.5.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.5.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.5.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.5.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4.6 Japan
- 8.4.6.1 Market estimates and forecast, 2018- 2032
- 8.4.6.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.6.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.6.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.6.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.6.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4.7 Australia
- 8.4.7.1 Market estimates and forecast, 2018- 2032
- 8.4.7.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.7.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.7.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.7.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.7.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4.8 India
- 8.4.8.1 Market estimates and forecast, 2018- 2032
- 8.4.8.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.8.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.8.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.8.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.8.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4.9 South Korea
- 8.4.9.1 Market estimates and forecast, 2018- 2032
- 8.4.9.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.9.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.9.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.9.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.9.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.4.10 Southeast Asia
- 8.4.10.1 Market estimates and forecast, 2018- 2032
- 8.4.10.2 Market estimates & forecast, by package, 2018- 2032
- 8.4.10.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.4.10.3 Market estimates & forecast, by technology, 2018- 2032
- 8.4.10.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.4.10.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.5 Latin America
- 8.5.1 Market estimates and forecast, 2018- 2032
- 8.5.2 Market estimates & forecast, by package, 2018- 2032
- 8.5.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.5.3 Market estimates & forecast, by technology, 2018- 2032
- 8.5.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.5.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.5.5 Brazil
- 8.5.5.1 Market estimates and forecast, 2018- 2032
- 8.5.5.2 Market estimates & forecast, by package, 2018- 2032
- 8.5.5.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.5.5.3 Market estimates & forecast, by technology, 2018- 2032
- 8.5.5.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.5.5.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.5.6 Mexico
- 8.5.6.1 Market estimates and forecast, 2018- 2032
- 8.5.6.2 Market estimates & forecast, by package, 2018- 2032
- 8.5.6.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.5.6.3 Market estimates & forecast, by technology, 2018- 2032
- 8.5.6.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.5.6.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.5.7 Colombia
- 8.5.7.1 Market estimates and forecast, 2018- 2032
- 8.5.7.2 Market estimates & forecast, by package, 2018- 2032
- 8.5.7.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.5.7.3 Market estimates & forecast, by technology, 2018- 2032
- 8.5.7.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.5.7.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.6 MEA
- 8.6.1 Market estimates and forecast, 2018- 2032
- 8.6.2 Market estimates & forecast, by package, 2018- 2032
- 8.6.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.6.3 Market estimates & forecast, by technology, 2018- 2032
- 8.6.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.6.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.6.5 South Africa
- 8.6.5.1 Market estimates and forecast, 2018- 2032
- 8.6.5.2 Market estimates & forecast, by package, 2018- 2032
- 8.6.5.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.6.5.3 Market estimates & forecast, by technology, 2018- 2032
- 8.6.5.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.6.5.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.6.6 Saudi Arabia
- 8.6.6.1 Market estimates and forecast, 2018- 2032
- 8.6.6.2 Market estimates & forecast, by package, 2018- 2032
- 8.6.6.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.6.6.3 Market estimates & forecast, by technology, 2018- 2032
- 8.6.6.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.6.6.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.6.7 Qatar
- 8.6.7.1 Market estimates and forecast, 2018- 2032
- 8.6.7.2 Market estimates & forecast, by package, 2018- 2032
- 8.6.7.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.6.7.3 Market estimates & forecast, by technology, 2018- 2032
- 8.6.7.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.6.7.4.1 Market estimates & forecast, by technology, 2018- 2032
- 8.6.8 UAE
- 8.6.8.1 Market estimates and forecast, 2018- 2032
- 8.6.8.2 Market estimates & forecast, by package, 2018- 2032
- 8.6.8.2.1 Market estimates & forecast, by PAYD, 2018- 2032
- 8.6.8.3 Market estimates & forecast, by technology, 2018- 2032
- 8.6.8.4 Market estimates & forecast, by vehicle type, 2018- 2032
- 8.6.8.4.1 Market estimates & forecast, by technology, 2018- 2032
Chapter 9 Company Profiles
- 9.1 Allianz SE
- 9.1.1 Business Overview
- 9.1.2 Financial Data
- 9.1.3 Product Landscape
- 9.1.4 Strategic Outlook
- 9.1.5 SWOT Analysis
- 9.2 Allstate Insurance Company
- 9.2.1 Business Overview
- 9.2.2 Financial Data
- 9.2.3 Product Landscape
- 9.2.4 Strategic Outlook
- 9.2.5 SWOT Analysis
- 9.3 Assicurazioni Generali S.p.A.
- 9.3.1 Business Overview
- 9.3.2 Financial Data
- 9.3.3 Product Landscape
- 9.3.4 Strategic Outlook
- 9.3.5 SWOT Analysis
- 9.4 Aviva plc
- 9.4.1 Business Overview
- 9.4.2 Financial Data
- 9.4.3 Product Landscape
- 9.4.4 Strategic Outlook
- 9.4.5 SWOT Analysis
- 9.5 AXA Equitable Life Insurance Company
- 9.5.1 Business Overview
- 9.5.2 Financial Data
- 9.5.3 Product Landscape
- 9.5.4 Strategic Outlook
- 9.5.5 SWOT Analysis
- 9.6 Cambridge Mobile Telematics
- 9.6.1 Business Overview
- 9.6.2 Financial Data
- 9.6.3 Product Landscape
- 9.6.4 Strategic Outlook
- 9.6.5 SWOT Analysis
- 9.7 Danlaw, Inc.
- 9.7.1 Business Overview
- 9.7.2 Financial Data
- 9.7.3 Product Landscape
- 9.7.4 Strategic Outlook
- 9.7.5 SWOT Analysis
- 9.8 Desjardins Group
- 9.8.1 Business Overview
- 9.8.2 Financial Data
- 9.8.3 Product Landscape
- 9.8.4 Strategic Outlook
- 9.8.5 SWOT Analysis
- 9.9 Insure The Box Limited
- 9.9.1 Business Overview
- 9.9.2 Financial Data
- 9.9.3 Product Landscape
- 9.9.4 Strategic Outlook
- 9.9.5 SWOT Analysis
- 9.10 Intelligent Mechatronic Systems, Inc.
- 9.10.1 Business Overview
- 9.10.2 Financial Data
- 9.10.3 Product Landscape
- 9.10.4 Strategic Outlook
- 9.10.5 SWOT Analysis
- 9.11 Liberty Mutual Insurance Company
- 9.11.1 Business Overview
- 9.11.2 Financial Data
- 9.11.3 Product Landscape
- 9.11.4 Strategic Outlook
- 9.11.5 SWOT Analysis
- 9.12 MAPFRE, SA
- 9.12.1 Business Overview
- 9.12.2 Financial Data
- 9.12.3 Product Landscape
- 9.12.4 Strategic Outlook
- 9.12.5 SWOT Analysis
- 9.13 Metromile, Inc
- 9.13.1 Business Overview
- 9.13.2 Financial Data
- 9.13.3 Product Landscape
- 9.13.4 Strategic Outlook
- 9.13.5 SWOT Analysis
- 9.14 Nationwide Mutual Insurance Company
- 9.14.1 Business Overview
- 9.14.2 Financial Data
- 9.14.3 Product Landscape
- 9.14.4 Strategic Outlook
- 9.14.5 SWOT Analysis
- 9.15 Octo Technology (Accenture PLC)
- 9.15.1 Business Overview
- 9.15.2 Financial Data
- 9.15.3 Product Landscape
- 9.15.4 Strategic Outlook
- 9.15.5 SWOT Analysis
- 9.16 Progressive Casualty Insurance Company
- 9.16.1 Business Overview
- 9.16.2 Financial Data
- 9.16.3 Product Landscape
- 9.16.4 Strategic Outlook
- 9.16.5 SWOT Analysis
- 9.17 Sierra Wireless, Inc.
- 9.17.1 Business Overview
- 9.17.2 Financial Data
- 9.17.3 Product Landscape
- 9.17.4 Strategic Outlook
- 9.17.5 SWOT Analysis
- 9.18 State Farm Mutual Automobile Insurance Company
- 9.18.1 Business Overview
- 9.18.2 Financial Data
- 9.18.3 Product Landscape
- 9.18.4 Strategic Outlook
- 9.18.5 SWOT Analysis
- 9.19 TomTom International B.V
- 9.19.1 Business Overview
- 9.19.2 Financial Data
- 9.19.3 Product Landscape
- 9.19.4 Strategic Outlook
- 9.19.5 SWOT Analysis
- 9.20 Unipolsai Assicurazioni S.p.A.
- 9.20.1 Business Overview
- 9.20.2 Financial Data
- 9.20.3 Product Landscape
- 9.20.4 Strategic Outlook
- 9.20.5 SWOT Analysis
- 9.21 Verizon Communications Inc
- 9.21.1 Business Overview
- 9.21.2 Financial Data
- 9.21.3 Product Landscape
- 9.21.4 Strategic Outlook
- 9.21.5 SWOT Analysis
- 9.22 Vodafone Automotive SpA
- 9.22.1 Business Overview
- 9.22.2 Financial Data
- 9.22.3 Product Landscape
- 9.22.4 Strategic Outlook
- 9.22.5 SWOT Analysis
- 9.23 Zubie, Inc.
- 9.23.1 Business Overview
- 9.23.2 Financial Data
- 9.23.3 Product Landscape
- 9.23.4 Strategic Outlook
- 9.23.5 SWOT Analysis