Vehicle Analytics is the analysis of vehicle characteristics and actions using data from on-board sensors, allowing users to gain a deeper understanding of the vehicle and the fleet as a whole by detecting suspicious behavior and identifying vehicle health in order to prevent breakdowns. Vehicle analytics also assist users in gaining a thorough understanding of vehicle conditions and driving patterns.

Adroit Market Research study on the global market for Vehicle Analytics offers a holistic view of the industry from 2020 to 2028 as forecast period, including factors such as market drivers, limitations, opportunities, threats and regulatory overview. The market has been analyzed from 2018 to 2028, with a base year estimate of 2019 and a projection from 2020 to 2028. The report covers the current status and potential characteristics of the market at both the global and the country level. Moreover, the report also assesses market competition with Porter's analysis of five strengths and places leading players on the basis of their product range, regional presence, strategic initiatives and overall sales. Prominent players in the global composite resin market have been analyzed in depth.

For a long time, transportation companies have been critical to the expansion of economies, and efficient shipping and associated road and vehicle infrastructure advancements have been a hotbed for innovation. Although transportation networks have evolved in recent years, they have also spread far and wide with the availability of road infrastructure, posing connectivity problems and a lack of real-time updates for providers. The adoption of vehicle analytics in the manufacturing sector is expected to be driven by the increasing penetration and growth of smart devices in the automotive sector. Its features such as traffic simulation, route analysis, voice order, service maintenance, and others have contributed to its widespread adoption. The introduction of connected vehicles with the ability to provide real-time, predictive, and contextual insights into customer (buying) behaviour, driving behavior, and vehicle health is expected to drive market growth.

Furthermore, growing acceptance of software that provides applications for streaming and real-time data analytics in connected vehicles is one of the major factors anticipated to drive market growth in the next ten years. Furthermore, rising demand for IoT grid connected vehicles that are highly dispersed (spatial extent) and highly dynamic (temporal extent) predicts widespread adoption of vehicle analytics systems in heavy and light duty vehicles. This adoption is largely due to its predictive maintenance capability, which is expected to fuel the potential market's growth over the forecast period. Cloud-based architectures include scalability and mobility, making cloud-based vehicle analytics services and applications more widely adopted. The rise in demand for real-time analysis that provides driver performance and predictive maintenance analysis, as well as the proliferation of cloud-based analytics in the automotive industry, is expected to increase the use of vehicle analytics software. The above are only a few of the big factors anticipated to propel the future market forward.

The key players of global Vehicle Analytics market report include- Digital Recognition Network, CloudMade, Azuga, Agnik LLC, Acerta Analytics Solutions, Automotive Rentals, HARMAN International, Genetec Inc., Amodo, and EngineCAL.

Key Segments of the Global Vehicle Analytics Market

Deployment Overview, 2018-2028 (USD Million)

• On-premise
• Cloud

Application Overview, 2018-2028 (USD Million)

• Predictive Maintenance
• Safety and Security Management
• Driver Performance Analysis
• Other Applications

Industry Vertical Overview, 2018-2028 (USD Million)

• Fleet Owners
• Insurers
• OEMs and Service Providers
• Other End-user Industries