Vehicle Analytics Market 2022 Global Industry Analysis, Opportunities and Forecast To 2030

Vehicle Analytics Market Overview:

The market research that has been made on vehicle analytics shows a potential growth at the CAGR of 24% during the forecast timeline which is till 2030

There are many major giants such as Microsoft Corporation and IBM corporations whose keen interest is to investigate the vehicle analytics market as the applications for vehicle analytics have increased. The rise in the use of smartphones along with other mobile communication devices plays a crucial role to grow the vehicle analytics market. The IBM Corporation has entered into a partnership with Panasonic to create a cognitive infotainment platform to provide the entire solution for the original equipment manufacturers.

Vehicle analytics is one prime technology that traces down the real-time information from the vehicle. It thus, lets the end user such as fleet owners and OEMs have a clear insight into the present vehicle state and other operating activities. However, the information gathered from the vehicle analytic solution is based on autonomous mobility and also the vehicles which give an integrated input for operating the vehicle activity. There is also mobility technology presently which has earned good traction because of the increase in the V2X technology penetration. There are many factors like the increase in the connectivity solution in the automation and also the rise in the cloud-based technology for the solution of smart fleet management. There has also been a rise in the security and safety of the vehicles which is likely to grow the market further. The high cost of installation and also the security concerns associated with data communication may affect the growth of the market.

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The widespread of the Covid-19 pandemic crisis has affected the overall vehicle analytics market. There has been a restriction on the commutation and the weak financial market player's performance can also be another reason. The impact of the pandemic is quite visible as their organizations are not able to come up with a strategic cost-saving plan. The market however is likely to witness a better recovery by the end of 2022. End users like automotive OEMs and insurers or fleet operators are likely to focus on the management working. There are very limited chances for the advanced technology and also the heavy investment to be made in them there are some chances for the sales momentum for vehicle analytics technology because of increased installation value and other infrastructural needs.

Vehicle Analytics Market Segmentation:

As per the Component

Consulting services
Deployment & Integration
Software services professional services
Support & maintenance
As per the Deployment

On-premise
On-demand
As per the Application

Traffic management
Infotainment
Driver & user behavior analysis
Dealer performance analysis
Usage-based insurance
Warranty analytics
Predictive maintenance
Road charging
Safety & Security Management
As per the End User

Travel & Hospitality
Automotive dealers
Insurers
Fleet owners
Service providers

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Vehicle Analytics Regional Classification:

The regional analysis that has been made on the vehicle analytics market shows that it is categorized into Asia-Pacific, North America, Europe, and the Rest of the world. Presently, North America is ruling the market followed by the Asia Pacific because of advancements in technologies.

Vehicle Analytics Industry News:

ARI Fleet Management Company and International business machines are some of the key players that are preparing strategy plans with regard to vehicle analytics.

Key Players
SAP SE (Germany)
Genetec (Canada)
Microsoft Corporation (U.S.)
IBM Corporation (U.S.)
CloudMade (Ukraine)
Intelligent Mechatronic Systems (Canada)
Harman International Industries Inc. (U.S.)
Teletrac Navman (U.S.)
Inseego (U.S.)
Agnik LLC (U.S.)
Inquiron (U.S.)
Automotive Rentals (ARI) (U.S.)
TABLE OF CONTENTS

1 MARKET INTRODUCTION

1.1 INTRODUCTION

1.2 SCOPE OF STUDY

1.2.1 RESEARCH OBJECTIVE

1.2.2 ASSUMPTIONS

1.2.3 LIMITATIONS

1.3 MARKET STRUCTURE

2 RESEARCH METHODOLOGY

2.1 RESEARCH TYPE

2.2 PRIMARY RESEARCH

2.3 SECONDARY RESEARCH

2.4 FORECAST MODEL

2.4.1 MARKET DATA COLLECTION, ANALYSIS & FORECAST

2.4.2 MARKET SIZE ESTIMATION

3 MARKET DYNAMICS

3.1 INTRODUCTION

3.2 MARKET DRIVERS

3.3 MARKET CHALLENGES

3.4 MARKET OPPORTUNITIES

3.5 MARKET RESTRAINTS

4 EXECUTIVE SUMMARY

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