Why Automotive Companies Outsource Software Development
The future of mobility promises seamless, automated, and personalized experience. Modern automobiles are equipped with numerous digital solutions making them convenient to use, safe to drive, and smart. Due to digitization, the cost of creating and manufacturing a new car model has enormously increased. The automotive manufacturers and suppliers must keep pace with the increasing vehicle complexity: electric drives, autonomous driving, Car2X, 5G, interaction with the car, and remote control. As a result of the expanded capability, automotive companies have to re-organize and supervise the integration of software (IT backend, networking, and infrastructure) and hardware into cars.
Moreover, they have to keep up with the competitors and shorten new car release life cycles as well as react rapidly to ever-changing consumer expectations. It requires manufacturing companies to be flexible and innovative.
Today’s automotive sector is driven more by software trends rather than hardware. Lines of code can be found even in the simplest hardware component and as software development continues to advance at a rapid pace, automotive companies are becoming increasingly reliant on digital technologies. Most automotive companies appeared to be not ready to switch to innovative software solutions development pretty fast, lacking needed experts and infrastructure in-house. Thus, outsourcing software development has become a good practice among automotive companies. It allows them to implement digital solutions faster while increasing automotive reliability, boosting performance, and improving the driving experience.
Reasons Automotive Companies Outsource IT Services
Modern automotive companies find themselves dependent on digital technologies. To succeed in the competitive market, they should use state-of-the-art software to improve the production process as well as ensure an excellent user experience for drivers.
While most automotive companies are quite successful, it’s no easy task to set up a software development team in-house and find specialists with relevant expertise. This is where software outsourcing can help automotive companies put their ideas into action.
Below are the benefits that enforce automotive companies to outsource software development:
- improved customer satisfaction;
- cost-efficiency of team setup;
- improved productivity of workers;
- increased safety of vehicles;
- staying on top of the market trends.
The more advanced technology is, the more likely that something goes wrong. That’s why hiring a professional dedicated development team from an outsourcing company is crucial.
Services That Can Be Outsourced in the Automotive Industry
There’s a wide variety of IT services entrusted to outsourcing companies in the automotive industry. We’ll look into the current state of four popular software development solutions in the industry.
Embedded Solutions
In the coming years, the demand for embedded systems in the automotive industry is expected to increase. On the one hand, it’s fuelled by the demand for accompanying them by embedded graphics, but on the other hand, automobile manufacturers are trying their best to make automobiles and automobile devices more power-efficient and smarter. This means an active usage of embedded software and hardware in the automobile industry. GPS, fuel injection systems, parking sensors, airbags, and anti-locking breakage systems are among the key examples of how embedded solutions are used in vehicles’ portable computing devices.
The Internet of Things (IoT) has a substantial impact on vehicle-connected devices. The technology has enabled automotive companies to integrate brand new equipment and innovations in their vehicles, including Near Field Communication payment, image recognition, embedded sensors, etc.
This automotive industry is a highly competitive landscape and the battle for market share is fierce, so automotive companies must invest in research and development to keep up with their competitors.
Process Automation Software
Automation technologies such as Artificial Intelligence and Machine Learning aren’t anything new to automotive companies. Due to the integration of smart automation technologies, robots can now perform complex tasks and accomplish them several times faster than human workers who fulfill them manually. The automated task execution also means jobs performed with more precision and increased productivity. However, process automation is used to optimize manufacturing but also enhance end users’ experience. Below are some of the examples of process automation software that can be outsourced in the automotive industry:
- Machine vision. Vehicle manufacturers can use the technology to ensure an automated internal machine inspection. For example, smart cameras capture images that are analyzed and processed by special analysis software to provide real-time insight into how different automobile components operate.
- Collaborative robots (Cobots). These types of robots help technicians to handle a large part of their job. They enable the performance of specific functions at once. Cobots are an excellent way to speed up manufacturing and improve the overall productivity wor workers.
- AI-powered software for driverless cars. This powerful innovation has changed the way we drive cars. AI works by using internal maps, processing the inputs, generating the most plausible trajectory, and sending the required instructions to the vehicle’s actuators.
Enterprise Mobility
Automotive companies are rapidly adopting mobile solutions to enhance business processes. Mobility is the primary objective for the automotive sector, and car manufacturers aren’t an exception. Mobile solutions in the automotive sector bring competitive benefits across all divisions, ranging from production lines to logistics and inventory management. The most popular solutions among automotive companies are applications aimed at production line automation and maintenance.
All in all, automobile manufacturers use mobile solutions when they need to:
- transmit data more efficiently within an enterprise;
- make operations more transparent for all divisions;
- predict the delivery time and get information in r