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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.
Telematics-based Auto Insurance Market:
Attributes | Telematics-based Auto Insurance Market |
---|---|
CAGR (2023 to 2033) | 18.7% |
Market Value (2033) | US$ 13,998.3 million |
Growth Factor | An Increasing number of connected cars. |
Opportunity | Accessibility of real-time data. |
Trends | Technological developments like AI and machine language. |
Railway Telematics Market:
Attributes | Railway Telematics Market |
---|---|
CAGR (2023 to 2033) | 7.1% |
Market Value (2033) | US$ 13,320.1 million |
Growth Factor | Rising demand for advanced transportation. |
Opportunity | Real-time solutions offering. |
Trends | Rising need for digitization of railway monitoring. |
Off-highway Vehicle Telematics Market:
Attributes | Off-highway Vehicle Telematics Market |
---|---|
CAGR (2023 to 2033) | 15% |
Market Value (2033) | US$ 2,252.46 million |
Growth Factor | Growing adoption of telematics in logistics companies. |
Opportunity | Favorable government initiatives. |
Trends | Emerging telematics technology in the construction sector. |
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.
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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.
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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