Vehicle Analytics Market Driving Insights: Revolutionizing Vehicle Performance and Safety through Advanced Analytics Will Reach at $ 20.62 billion by 2030

Vehicle Analytics Market Fleet owners utilize vehicle analytics to track the location, status, and performance of their vehicles in real-time. This helps in optimizing routes, scheduling maintenance, and improving overall fleet efficiency.

Market Size-

The SNS Insider report indicates that the Vehicle Analytics Market was valued at USD 3.35 billion in 2022, and it is projected to achieve a market size of USD 20.62 billion by 2030, with a compound annual growth rate (CAGR) of 25.5% expected over the forecast period from 2023 to 2030.

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Market Key Players:

SAP SE (Germany)
Genetec (Canada)
Microsoft Corporation (US)
IBM Corporation (US)
Inseego (US)
CloudMade (Ukraine)
Agnik LLC (US)
Intelligent Mechatronic Systems (Canada)
Harman International Industries, Inc. (US)
Teletrac Navman (US)
Inquiron (US)
Automotive Rentals (US)

Market Report Scope -

In order to grow the economy, transport businesses are of great importance. Vehicle Analytics is a process using inputs from different sensors that are attached to vehicles, in order to monitor real-time vehicle behavior and properties. This enables users to gain better control of vehicles and fleets through identification of unsuitable behaviors and determination of vehicle health, thus preventing disturbances. Analytics of vehicle health are also useful for users to gain insight into the health of the vehicle.

Market Growth Factors -

Vehicle Analytics Market is an advanced technology that monitors the current state of the vehicle in real time. This allows for real-time information to be obtained from vehicle position by end users, such as original equipment manufacturers, insurance companies, fleet owners and others. The platform is primarily used for monitoring, analyzing and improving the performance of vehicles and drivers. Furthermore, a safe driving experience is ensured by these improved vehicle and driver performance. This technology is used for a variety of applications

Segmentation Analysis -

The market can be divided into fleet owners, regulators, automotive dealers, insurance companies and Original Equipment Manufacturers on the basis of end users: As a result of the growing collaboration between system providers and original equipment manufacturers, due to the increasing cost of installation, the continuous need to upgrade vehicle analytics systems, and the long running requirements, the OEM segment accounts for the largest share of the global automotive analytics market.
The market can be divided according to deployment type, namely cloud and on premises. The biggest share of the world market for vehicle analytics is held by the on-premise segment. In addition, due to an increase in demand for vehicle and connectivity networking solutions, the cloud-based segment is expected to see significant growth over the forecast period. Optimization of the fleet, predictive maintenance, driver behaviour analysis, asset tracking and a few other issues have been addressed.

By Application:

Predictive Maintenance
Warranty Analytic
Traffic Management
Usage-based Insurance
Safety and Security Management
Infotainment
Driver and User Behaviour Analysis
Dealer Performance Analysis
Road Charging

By Component:

Software
Services

By End user:

Original Equipment Manufacturers (OEMs)
Service Providers
Fleet Owners
Automotive Dealers
Insurers
Regulatory Bodies

By Deployment Model:

On-Premises
On-Demand

Key Regional Development -

Due to the high acceptance rate of connected cars, and growing market growth in this region is being driven by emobility, the US automotive analytics market area will be dominant on this market. In addition, the US, Canada, Germany, France, United Kingdom, Italy, Spain, China, Japan, India, Australia, South Korea and Brazil have been identified as key countries analysed in this market study.
Europe's vehicle analytics market accounts for the second-largest market share due to the rapidly increased innovative business models that can be generated by combining vehicle telematics data and analytic insights into customer and business data. In addition, the biggest market share was held by Germany's vehicle analytics market and the United Kingdom automotive Analytics Market has experienced the highest growth rate of all European markets.
From 2023 to 2030, the Asia Pacific automotive analytics market is projected to increase at an accelerating compound annual growth rate. This is due to developments in the aviation sector and defence industry. In addition, the market share of China for vehicle analysis has been highest in Asia Pacific and India's automotive analytical market is experiencing a rapid growth rate.

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Key Takeaway's-
An increase in concerns about traffic congestion, security and travel time is projected to have a positive impact on the market for vehicle analysis. Other factors likely to drive the adoption of vehicle intelligence are infrastructure development and rapidly expanding urban areas. New business opportunities or market players are expected to arise during the forecast period due to growing demand for more efficient mobility and improved transport systems in emerging countries such as Brazil, China and India. At the same time, the importance of vehicle analysis is growing as the number of vehicles on the road increases all over the world.

Recent Developments -
October 2022: BMW partnered with Amazon Web Services (AWS) to develop software to collect and analyze data generated by connected vehicles. In order to improve software life cycle management, data collection would accelerate the development of features.
May 2022: A partnership has been announced between Red Hat, one of the world's leading Open-Source solution providers and General Motors to speed development of Software Defined Vehicles on the edge. The businesses plan to build an innovation ecosystem around the Red Hat In-Vehicle Operating System, which provides a functional-safety certified Linux operating system basis for GM's Ultifi software platform's continued evolution.

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Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
5. Value Chain Analysis
6. Porter's 5 forces model
7.  PEST Analysis 
8. Global Vehicle Analytics Market Segmentation, by Application
9. Global Vehicle Analytics Market Segmentation, by Component
10. Global Vehicle Analytics Market Segmentation, by End user
11. Global Vehicle Analytics Market Segmentation, by Deployment Model
12. Regional Analysis
13. Company Profiles
14. Competitive Landscape
15. Conclusion

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