The global telematics-based auto insurance market is anticipated to generate revenues of US$ 2,513.9 million in 2023. Demand is anticipated to increase at a CAGR of 18.7% and reach US$ 13,998.3 million by 2033.
The foregoing factors driving the expansion of the global demand for telematics-based auto insurance include:
| Attribute | Details |
|---|---|
| Expected Market CAGR (2023 to 2033) | 18.7% |
| Market Size (2023) | US$ 2,513.9 million |
| Expected Market Size (2033) | US$ 13,998.3 million |
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2018 to 2022 Demand Analysis:
With a market valuation of US$ 1,159.5 million in 2018 and US$ 2,146.8 million in 2022, the market was progressing with a CAGR of 16.6%. This is because historically, auto insurance providers have concentrated on factors including location, age of the driver and the vehicle, and motor vehicle reports when determining risk and premiums. This was a time- and money-consuming procedure for the key participants.
Telematics enables carriers to assess a driver's driving style to accurately predict risks and set policy prices. Auto insurance companies have seen that telematics-based insurance programs have become popular over time.
2023 to 2033 Demand Analysis:
Telematics-based auto insurers, with an anticipated market value of US$ 4,204.20 million in 2026 seek to connect and automate the claims process through connectivity. This includes devices like cameras and sensors that deliver precise, real-time data. Artificial intelligence (AI) is boosting the market's income streams and causing the sector to expand 1.17 times between 2022 and 2023.
Firstly, the demand for telematics devices is rising in the automotive and insurance industries, which is fueling global market expansion. Telematic devices enhance premium pricing, how customers view a firm, and strengthen long-term connections via enhancing communication, which explains this. Secondly, the automotive industry's growing need for regulatory compliance and the insurance telematics industry's notable adoption of IoT technology proliferate the demand for telematics-based auto insurance.
A robust ecosystem is developing around connected car services, as demand for usage-based automotive insurance is rising considerably. This ecosystem includes participants including
In plenty of ways, insurance businesses are undergoing a digital transition. For instance, machine learning or predictive modeling technologies can replace the analytics capabilities of insurance firms.
Traditional data sets containing risk profiles based on claims history are being replaced by the increasing accessibility of real-time data collection from vehicles. For those involved in the usage-based insurance sector, the rise of vehicle telematics, demand for linked car services, and mobile-based telematics are likely to present a plethora of options.
Principal Consultant
Usage-based auto insurance programs dramatically increased in the United States between January 2022 and April 2022. Depending on the operator or provider, this program results in savings of up to 30% on the insurance premium. However, price increases are what have caused the great decline in customer satisfaction.
This low level of satisfaction can be reduced by alerting clients in advance if prices are rising. In 2022, the United States obtained an 18.5% market share. The AV and EV industries undergo significant changes in the coming years, and the United States telematics-based auto insurance sector needs to adapt to the resulting disruptions.
The market in Germany was expanding at a significant rate, with a share of 7.6% in 2022. Significantly decreasing hardware costs are anticipated to boost consumer acceptability of the gadget in Europe. Additionally, the entry of well-known OEMs that provide services and warranties backed by dealerships is likely to encourage market expansion in Germany.
German automakers are progressing in the connected cars market. The nation also commands an adequate market share in Europe for auto telematics. Leading automotive OEMs are also releasing vehicles with cutting-edge connectivity and infotainment systems.
The United Kingdom is expected to have a CAGR of 18.2% by 2033. Favorable projects in the United Kingdom are:
| Country | China |
|---|---|
| Market CAGR (2023 to 2033) | 17.7% |
The automobile sector is crucial to the GDP growth of many developing nations, such as China, India, and others. The global volume of autos is predicted to record a CAGR of 3% throughout the projection period. The amount of parked cars around the world is one aspect to take into account when estimating the global potential of the telematics-based auto insurance industry.
As the amount of parked cars is anticipated to rise significantly over the world, the growth gradient of passenger vehicles (PV) becomes high than that of commercial vehicles (CV).
Product innovation in India proves to be a profitable factor. For instance, the Indian insurance sector is actively evaluating this Gen-Next product and is proceeding cautiously with its implementation. The regulator is allowing insurers to file these items under its experimental "Use and File" program.
The classic type of UBI technology that is favored by most car owners is the black box. The demand for the black box is likely to rise as telematics insurance for usage-based insurance for heavy-duty vehicles becomes prevalent.
The penetration is now leading in Europe, especially in Italy. A black box is extremely accurate and records a variety of data. However, these devices are pricey and call for specialized installation, which raises the overall upfront cost of the service.
An embedded system is replacing a black box in the UBI market. Consequently, the market share of the segment is likely to change in the future, but UBI technology continues to be widely used.
Passenger cars saw a top spot with a share of 48.5% in 2022. The increasing adoption of telematics-based auto insurance programs by passenger car owners is driven by several factors. This includes the desire for personalized insurance products and the growing awareness of the benefits of safe driving.
Telematics-based auto insurance programs in the passenger car segment typically use a small device installed in the vehicle or a mobile app. It is to collect data about driving behavior, such as speed, braking, and location. This data is then used to calculate the policyholder's insurance premium, with safe drivers typically receiving low premiums. Also, the investment in commercial applications is likely to increase technologies for autonomous passenger cars.
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Safe driving practices, low mileage, and other characteristics that point to a low risk of accidents are rewarded by insurers in the telematics-based vehicle insurance market with discounts. To gather information about driving behavior, the systems often use mobile apps or devices connected to the OBD-II port on the car.
In 2020, the total investment made in telematics-based auto insurance programs is US$ 7,000 million. Successful Usage-based Insurance (UBI) initiatives that support market expansion include:
| Companies | Liberty Mutual |
|---|---|
| Program | Right Track |
| Offering | RightTrack gathers information on driving behavior using a mobile app or a gadget hooked into the car's OBD-II port |
| Profit Made (2020) | US$ 3,700 million |
| Companies | The Allstate Corporation |
|---|---|
| Program | Drivewise |
| Offering | It offers 10% discounts and tracked driving time and sudden stops. |
| Profit Made (2020) | US$ 4,600 million |
| Companies | Progressive corporation |
|---|---|
| Program | Snapshot |
| Offering | It offers 30% discounts and tracks phone activity and distance traveled. |
| Profit Made (2020) | US$ 3,700 million |
The key market players are extending their consumer bases internationally to maintain their position at the top. To increase their market share and profitability, these companies engage in tactical joint ventures. To improve the capabilities of their products, industry players are also buying up start-ups developing telematics-based auto insurance business technologies.
Some OEMs are likely to decide to enter the insurance industry, drawn by the opportunity to create new sources of income.
Recent Developments:
The market size of the telematics-based auto insurance market is US$ 2,513.9 million in 2023.
Technological developments like AI and machine language are gaining popularity in the market.
North America market saw a dominant demand, with a share of 29.6% in 2022.
The classic type of UBI technology that is favored by most car owners is the black box.
Progressive Corporation, Allstate Corporation, and State Farm Mutual Automobile Insurance Company are key players in the market.
1. Executive Summary | Telematics-Based Auto Insurance Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Offering, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Offering, 2023 to 2033
5.3.1. Hardware
5.3.1.1. Telematics Control Value (US$ Million) (TCU)
5.3.1.2. Navigation System (GPS
5.3.2. Software
5.3.3. Services
5.3.3.1. Consulting
5.3.3.2. Implementation
5.3.3.3. Maintenance
5.4. Y-o-Y Growth Trend Analysis By Offering, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Offering, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2023 to 2033
6.3.1. OBD-II
6.3.2. Smartphone
6.3.3. Hybrid
6.3.4. Black-box
6.4. Y-o-Y Growth Trend Analysis By Technology, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Technology, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
7.3.1. On-Premise
7.3.2. Cloud
7.3.3. Manage-How-You- Drive (MHYD)
7.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033
8.3.1. Pay-As-You-Drive (PAYD)
8.3.2. Pay-How-You-Drive (PHYD)
8.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vehicle Age
9.1. Introduction / Key Findings
9.2. Historical Market Size Value (US$ Million) Analysis By Vehicle Age, 2018 to 2022
9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vehicle Age, 2023 to 2033
9.3.1. New Vehicles
9.3.2. Used Vehicles
9.4. Y-o-Y Growth Trend Analysis By Vehicle Age, 2018 to 2022
9.5. Absolute $ Opportunity Analysis By Vehicle Age, 2023 to 2033
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vehicle Type
10.1. Introduction / Key Findings
10.2. Historical Market Size Value (US$ Million) Analysis By Vehicle Type, 2018 to 2022
10.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vehicle Type, 2023 to 2033
10.3.1. Light-Duty Vehicles (LDV)
10.3.2. Heavy-Duty Vehicles (HDV)
10.4. Y-o-Y Growth Trend Analysis By Vehicle Type, 2018 to 2022
10.5. Absolute $ Opportunity Analysis By Vehicle Type, 2023 to 2033
11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size
11.1. Introduction / Key Findings
11.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022
11.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033
11.3.1. Large Enterprises
11.3.2. Small & Medium-sized Enterprises
11.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022
11.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033
12. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
12.1. Introduction
12.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
12.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
12.3.1. North America
12.3.2. Latin America
12.3.3. Europe
12.3.4. South Asia
12.3.5. East Asia
12.3.6. Oceania
12.3.7. MEA
12.4. Market Attractiveness Analysis By Region
13. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. United States of America
13.2.1.2. Canada
13.2.2. By Offering
13.2.3. By Technology
13.2.4. By Deployment
13.2.5. By Type
13.2.6. By Vehicle Age
13.2.7. By Vehicle Type
13.2.8. By Organization Size
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Offering
13.3.3. By Technology
13.3.4. By Deployment
13.3.5. By Type
13.3.6. By Vehicle Age
13.3.7. By Vehicle Type
13.3.8. By Organization Size
13.4. Key Takeaways
14. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Brazil
14.2.1.2. Mexico
14.2.1.3. Rest of Latin America
14.2.2. By Offering
14.2.3. By Technology
14.2.4. By Deployment
14.2.5. By Type
14.2.6. By Vehicle Age
14.2.7. By Vehicle Type
14.2.8. By Organization Size
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Offering
14.3.3. By Technology
14.3.4. By Deployment
14.3.5. By Type
14.3.6. By Vehicle Age
14.3.7. By Vehicle Type
14.3.8. By Organization Size
14.4. Key Takeaways
15. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. Germany
15.2.1.2. United Kingdom
15.2.1.3. France
15.2.1.4. Spain
15.2.1.5. Italy
15.2.1.6. Rest of Europe
15.2.2. By Offering
15.2.3. By Technology
15.2.4. By Deployment
15.2.5. By Type
15.2.6. By Vehicle Age
15.2.7. By Vehicle Type
15.2.8. By Organization Size
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Offering
15.3.3. By Technology
15.3.4. By Deployment
15.3.5. By Type
15.3.6. By Vehicle Age
15.3.7. By Vehicle Type
15.3.8. By Organization Size
15.4. Key Takeaways
16. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. India
16.2.1.2. Malaysia
16.2.1.3. Singapore
16.2.1.4. Thailand
16.2.1.5. Rest of South Asia
16.2.2. By Offering
16.2.3. By Technology
16.2.4. By Deployment
16.2.5. By Type
16.2.6. By Vehicle Age
16.2.7. By Vehicle Type
16.2.8. By Organization Size
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Offering
16.3.3. By Technology
16.3.4. By Deployment
16.3.5. By Type
16.3.6. By Vehicle Age
16.3.7. By Vehicle Type
16.3.8. By Organization Size
16.4. Key Takeaways
17. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.2.1. By Country
17.2.1.1. China
17.2.1.2. Japan
17.2.1.3. South Korea
17.2.2. By Offering
17.2.3. By Technology
17.2.4. By Deployment
17.2.5. By Type
17.2.6. By Vehicle Age
17.2.7. By Vehicle Type
17.2.8. By Organization Size
17.3. Market Attractiveness Analysis
17.3.1. By Country
17.3.2. By Offering
17.3.3. By Technology
17.3.4. By Deployment
17.3.5. By Type
17.3.6. By Vehicle Age
17.3.7. By Vehicle Type
17.3.8. By Organization Size
17.4. Key Takeaways
18. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
18.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
18.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
18.2.1. By Country
18.2.1.1. Australia
18.2.1.2. New Zealand
18.2.2. By Offering
18.2.3. By Technology
18.2.4. By Deployment
18.2.5. By Type
18.2.6. By Vehicle Age
18.2.7. By Vehicle Type
18.2.8. By Organization Size
18.3. Market Attractiveness Analysis
18.3.1. By Country
18.3.2. By Offering
18.3.3. By Technology
18.3.4. By Deployment
18.3.5. By Type
18.3.6. By Vehicle Age
18.3.7. By Vehicle Type
18.3.8. By Organization Size
18.4. Key Takeaways
19. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
19.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
19.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
19.2.1. By Country
19.2.1.1. GCC Countries
19.2.1.2. South Africa
19.2.1.3. Israel
19.2.1.4. Rest of MEA
19.2.2. By Offering
19.2.3. By Technology
19.2.4. By Deployment
19.2.5. By Type
19.2.6. By Vehicle Age
19.2.7. By Vehicle Type
19.2.8. By Organization Size
19.3. Market Attractiveness Analysis
19.3.1. By Country
19.3.2. By Offering
19.3.3. By Technology
19.3.4. By Deployment
19.3.5. By Type
19.3.6. By Vehicle Age
19.3.7. By Vehicle Type
19.3.8. By Organization Size
19.4. Key Takeaways
20. Key Countries Market Analysis
20.1. United States of America
20.1.1. Pricing Analysis
20.1.2. Market Share Analysis, 2022
20.1.2.1. By Offering
20.1.2.2. By Technology
20.1.2.3. By Deployment
20.1.2.4. By Type
20.1.2.5. By Vehicle Age
20.1.2.6. By Vehicle Type
20.1.2.7. By Organization Size
20.2. Canada
20.2.1. Pricing Analysis
20.2.2. Market Share Analysis, 2022
20.2.2.1. By Offering
20.2.2.2. By Technology
20.2.2.3. By Deployment
20.2.2.4. By Type
20.2.2.5. By Vehicle Age
20.2.2.6. By Vehicle Type
20.2.2.7. By Organization Size
20.3. Brazil
20.3.1. Pricing Analysis
20.3.2. Market Share Analysis, 2022
20.3.2.1. By Offering
20.3.2.2. By Technology
20.3.2.3. By Deployment
20.3.2.4. By Type
20.3.2.5. By Vehicle Age
20.3.2.6. By Vehicle Type
20.3.2.7. By Organization Size
20.4. Mexico
20.4.1. Pricing Analysis
20.4.2. Market Share Analysis, 2022
20.4.2.1. By Offering
20.4.2.2. By Technology
20.4.2.3. By Deployment
20.4.2.4. By Type
20.4.2.5. By Vehicle Age
20.4.2.6. By Vehicle Type
20.4.2.7. By Organization Size
20.5. Germany
20.5.1. Pricing Analysis
20.5.2. Market Share Analysis, 2022
20.5.2.1. By Offering
20.5.2.2. By Technology
20.5.2.3. By Deployment
20.5.2.4. By Type
20.5.2.5. By Vehicle Age
20.5.2.6. By Vehicle Type
20.5.2.7. By Organization Size
20.6. United Kingdom
20.6.1. Pricing Analysis
20.6.2. Market Share Analysis, 2022
20.6.2.1. By Offering
20.6.2.2. By Technology
20.6.2.3. By Deployment
20.6.2.4. By Type
20.6.2.5. By Vehicle Age
20.6.2.6. By Vehicle Type
20.6.2.7. By Organization Size
20.7. France
20.7.1. Pricing Analysis
20.7.2. Market Share Analysis, 2022
20.7.2.1. By Offering
20.7.2.2. By Technology
20.7.2.3. By Deployment
20.7.2.4. By Type
20.7.2.5. By Vehicle Age
20.7.2.6. By Vehicle Type
20.7.2.7. By Organization Size
20.8. Spain
20.8.1. Pricing Analysis
20.8.2. Market Share Analysis, 2022
20.8.2.1. By Offering
20.8.2.2. By Technology
20.8.2.3. By Deployment
20.8.2.4. By Type
20.8.2.5. By Vehicle Age
20.8.2.6. By Vehicle Type
20.8.2.7. By Organization Size
20.9. Italy
20.9.1. Pricing Analysis
20.9.2. Market Share Analysis, 2022
20.9.2.1. By Offering
20.9.2.2. By Technology
20.9.2.3. By Deployment
20.9.2.4. By Type
20.9.2.5. By Vehicle Age
20.9.2.6. By Vehicle Type
20.9.2.7. By Organization Size
20.10. India
20.10.1. Pricing Analysis
20.10.2. Market Share Analysis, 2022
20.10.2.1. By Offering
20.10.2.2. By Technology
20.10.2.3. By Deployment
20.10.2.4. By Type
20.10.2.5. By Vehicle Age
20.10.2.6. By Vehicle Type
20.10.2.7. By Organization Size
20.11. Malaysia
20.11.1. Pricing Analysis
20.11.2. Market Share Analysis, 2022
20.11.2.1. By Offering
20.11.2.2. By Technology
20.11.2.3. By Deployment
20.11.2.4. By Type
20.11.2.5. By Vehicle Age
20.11.2.6. By Vehicle Type
20.11.2.7. By Organization Size
20.12. Singapore
20.12.1. Pricing Analysis
20.12.2. Market Share Analysis, 2022
20.12.2.1. By Offering
20.12.2.2. By Technology
20.12.2.3. By Deployment
20.12.2.4. By Type
20.12.2.5. By Vehicle Age
20.12.2.6. By Vehicle Type
20.12.2.7. By Organization Size
20.13. Thailand
20.13.1. Pricing Analysis
20.13.2. Market Share Analysis, 2022
20.13.2.1. By Offering
20.13.2.2. By Technology
20.13.2.3. By Deployment
20.13.2.4. By Type
20.13.2.5. By Vehicle Age
20.13.2.6. By Vehicle Type
20.13.2.7. By Organization Size
20.14. China
20.14.1. Pricing Analysis
20.14.2. Market Share Analysis, 2022
20.14.2.1. By Offering
20.14.2.2. By Technology
20.14.2.3. By Deployment
20.14.2.4. By Type
20.14.2.5. By Vehicle Age
20.14.2.6. By Vehicle Type
20.14.2.7. By Organization Size
20.15. Japan
20.15.1. Pricing Analysis
20.15.2. Market Share Analysis, 2022
20.15.2.1. By Offering
20.15.2.2. By Technology
20.15.2.3. By Deployment
20.15.2.4. By Type
20.15.2.5. By Vehicle Age
20.15.2.6. By Vehicle Type
20.15.2.7. By Organization Size
20.16. South Korea
20.16.1. Pricing Analysis
20.16.2. Market Share Analysis, 2022
20.16.2.1. By Offering
20.16.2.2. By Technology
20.16.2.3. By Deployment
20.16.2.4. By Type
20.16.2.5. By Vehicle Age
20.16.2.6. By Vehicle Type
20.16.2.7. By Organization Size
20.17. Australia
20.17.1. Pricing Analysis
20.17.2. Market Share Analysis, 2022
20.17.2.1. By Offering
20.17.2.2. By Technology
20.17.2.3. By Deployment
20.17.2.4. By Type
20.17.2.5. By Vehicle Age
20.17.2.6. By Vehicle Type
20.17.2.7. By Organization Size
20.18. New Zealand
20.18.1. Pricing Analysis
20.18.2. Market Share Analysis, 2022
20.18.2.1. By Offering
20.18.2.2. By Technology
20.18.2.3. By Deployment
20.18.2.4. By Type
20.18.2.5. By Vehicle Age
20.18.2.6. By Vehicle Type
20.18.2.7. By Organization Size
20.19. GCC Countries
20.19.1. Pricing Analysis
20.19.2. Market Share Analysis, 2022
20.19.2.1. By Offering
20.19.2.2. By Technology
20.19.2.3. By Deployment
20.19.2.4. By Type
20.19.2.5. By Vehicle Age
20.19.2.6. By Vehicle Type
20.19.2.7. By Organization Size
20.20. South Africa
20.20.1. Pricing Analysis
20.20.2. Market Share Analysis, 2022
20.20.2.1. By Offering
20.20.2.2. By Technology
20.20.2.3. By Deployment
20.20.2.4. By Type
20.20.2.5. By Vehicle Age
20.20.2.6. By Vehicle Type
20.20.2.7. By Organization Size
20.21. Israel
20.21.1. Pricing Analysis
20.21.2. Market Share Analysis, 2022
20.21.2.1. By Offering
20.21.2.2. By Technology
20.21.2.3. By Deployment
20.21.2.4. By Type
20.21.2.5. By Vehicle Age
20.21.2.6. By Vehicle Type
20.21.2.7. By Organization Size
21. Market Structure Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Market Share Analysis of Top Players
21.3.1. By Regional
21.3.2. By Offering
21.3.3. By Technology
21.3.4. By Deployment
21.3.5. By Type
21.3.6. By Vehicle Age
21.3.7. By Vehicle Type
21.3.8. By Organization Size
22. Competition Analysis
22.1. Competition Deep Dive
22.1.1. Agero Inc.
22.1.1.1. Overview
22.1.1.2. Product Portfolio
22.1.1.3. Profitability by Market Segments
22.1.1.4. Sales Footprint
22.1.1.5. Strategy Overview
22.1.1.5.1. Marketing Strategy
22.1.2. IMS
22.1.2.1. Overview
22.1.2.2. Product Portfolio
22.1.2.3. Profitability by Market Segments
22.1.2.4. Sales Footprint
22.1.2.5. Strategy Overview
22.1.2.5.1. Marketing Strategy
22.1.3. Masternaut Limited
22.1.3.1. Overview
22.1.3.2. Product Portfolio
22.1.3.3. Profitability by Market Segments
22.1.3.4. Sales Footprint
22.1.3.5. Strategy Overview
22.1.3.5.1. Marketing Strategy
22.1.4. Meta System S.p.A.
22.1.4.1. Overview
22.1.4.2. Product Portfolio
22.1.4.3. Profitability by Market Segments
22.1.4.4. Sales Footprint
22.1.4.5. Strategy Overview
22.1.4.5.1. Marketing Strategy
22.1.5. MiX Telematics
22.1.5.1. Overview
22.1.5.2. Product Portfolio
22.1.5.3. Profitability by Market Segments
22.1.5.4. Sales Footprint
22.1.5.5. Strategy Overview
22.1.5.5.1. Marketing Strategy
22.1.6. Octo Group S.p.A
22.1.6.1. Overview
22.1.6.2. Product Portfolio
22.1.6.3. Profitability by Market Segments
22.1.6.4. Sales Footprint
22.1.6.5. Strategy Overview
22.1.6.5.1. Marketing Strategy
22.1.7. Sierra Wireless
22.1.7.1. Overview
22.1.7.2. Product Portfolio
22.1.7.3. Profitability by Market Segments
22.1.7.4. Sales Footprint
22.1.7.5. Strategy Overview
22.1.7.5.1. Marketing Strategy
22.1.8. TomTom International BV
22.1.8.1. Overview
22.1.8.2. Product Portfolio
22.1.8.3. Profitability by Market Segments
22.1.8.4. Sales Footprint
22.1.8.5. Strategy Overview
22.1.8.5.1. Marketing Strategy
22.1.9. Trimble Inc.
22.1.9.1. Overview
22.1.9.2. Product Portfolio
22.1.9.3. Profitability by Market Segments
22.1.9.4. Sales Footprint
22.1.9.5. Strategy Overview
22.1.9.5.1. Marketing Strategy
22.1.10. Verizon
22.1.10.1. Overview
22.1.10.2. Product Portfolio
22.1.10.3. Profitability by Market Segments
22.1.10.4. Sales Footprint
22.1.10.5. Strategy Overview
22.1.10.5.1. Marketing Strategy
23. Assumptions & Acronyms Used
24. Research Methodology
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Telematics-based Auto Insurance Market
