Automotive Industry

The automobile industry is a wide range of companies and organizations involved in the design, development, manufacturing, marketing, and selling of motor vehicles, some of them are called automakers. It is one of the world's largest economic sectors by revenue.

The global automotive manufacturing industry grew by 21% in 2010 to reach a value of $1,184.6 billion. In 2015, the global automotive manufacturing industry is forecast to have a value of $1,653.7 billion, an increase of 39.6% since 2010. The global automotive manufacturing industry grew by 15.3% in 2010 to reach a volume of 126.2 million units.

In 2015, the global automotive manufacturing industry is forecast to have a volume of 168.2 million units, an increase of 33.3% since 2010. Car is the largest segment of the global automotive manufacturing industry, accounting for 61.5% of the industry's total value. Asia-Pacific accounts for 42.7% of the global automotive manufacturing industry value. Now more than ever the Automotive industry has a wealth of opportunities for engineers. The global growth of the industry and rise in consumer demand means that manufacturers are seeking out skilled technical professionals at an increasing rate.

The Automotive industry makes a vital economic contribution, with global sales of passenger vehicles alone forecast to hit 77.7 million in 2017. The growth of the industry is unquestionable and a truly global workforce is key to making this a reality. The industry currently employs around 15 million highly skilled workers, from Electronic Design Engineers to Engine Assembly & Test Managers, the need for more highly skilled workers only increases as the industry expands into new technologies.

The global automotive employment figure stands at a staggering 8,397,451 with China leading the way employing 1,605,000 individuals and U.S.A employing 954,210. For every 60 million vehicles that are built, you need to employ 9 million people.

Current Trends


Autonomous Vehicles

A self-driving car, also known as a robot car, autonomous car, or driverless car, is a vehicle that is capable of sensing its environment and moving with little or no human input.



The Internet of things is the network of devices such as vehicles, and home appliances that contain electronics, software, sensors, actuators, and connectivity which allows these things to connect, interact and exchange data.


Artificial intelligence

Artificial intelligence is a subfield of computer science, which has the primary aim of enabling computers to do the work that is normally done by humans.



Mechatronics, which is also called mechatronic engineering, is a multidisciplinary branch of engineering that focuses on the engineering of both electrical and mechanical systems.


Mechatronic Design

Mechatronic design is the integrated design of a mechanical system and its embedded control system.


Electric Vehicles

An electric vehicle, also called an EV, uses one or more electric motors or traction motors for propulsion.


Vehicle Safety

Automobile safety is the study and practice of design, construction, equipment and regulation to minimize the occurrence and consequences of traffic collisions. Road traffic safety more broadly includes roadway design.



SolidWorks is a solid modeling computer-aided design and computer-aided engineering computer program that runs on Microsoft Windows.


CAD/CAM/CAE Technology

CAD/CAM/CAE software is used to design and manufacture prototypes, finished products and production runs.

Advanced Trends

Predictive Automobile Technology

First and foremost, Artificial Intelligence (AI) and Machine Learning (ML) have an essential part in the future of the auto industry as predictive capacities are getting more predominant in autos, customizing the driving adventure. More makers are implementing algorithms that utilize data to mechanize the way of setting up a vehicle, incorporating an auto's application preferences and its infotainment framework. Automobiles are shifting into IoT gadgets which can associate with smartphones and take voice commands, changing the UI.

Automatic High-Beam control

In the updated RX, Lexus offers a framework that naturally lights up and dims the high-beam headlights in connection to the moving traffic. A camera installed on the rearview mirror recognizes when the car is surrounding approaching traffic, and additionally vehicles ahead going a similar way, and withdraws the high beams.

Backup Cameras

The entry-level autos like the $15,790 Honda Fit accompany a backup camera as standard, so, you don't generally need to turn your head to look back. Truth be told, rearview cameras will be required on all vehicles under 10,000 pounds. The advantages of these gadgets are self-evident. With a high-resolution image to reference, it turns out to be significantly less troublesome (however not feasible) to hit over the trash bins toward the end of the parking, and even with parking sensors activated, backing into a tight place has never been simpler.

Smart Home Integration

The smart home integration technology was introduced with the Alexa amalgamation by Ford and Amazon in the year 2017. Alexa gives in-car command over carport doors, home lighting, and any other gadget that may be associated with your home's PC network through the SYNC3 infotainment system seen in new Ford automobiles.

Vehicle-to-Vehicle Communication

Vehicle-to-vehicle communication or V2V is another new innovation in autos that enables vehicles to speak to each other, things around them and the road. So, what's this technology up to? All in all, like self-driving cars, this innovation can help essentially decrease traffic, vehicle accidents, and fatalities. With V2V innovation, your vehicle will get a signal from the other vehicles in your route directly, in this way cautioning you through a potential crash prediction or automatically applying the brakes.

Biometric Seat Technology

This innovation enables drivers to manage ordinary disturbances while driving, making the entire adventure more secure and comfortable. Biometric seat tech uses data from the driver's face, and palm, joining it with real-time data gathered from the auto's steering wheel, accelerator, clutch, and throttle to identify the driver’s anxiety and instructs him/her to take a break when required.

Copyright © 2019 Verbinden. All rights reserved.