Redefining the Automotive Industry

Automotive Industry has been going through a magnificent digital transformation in its various domains

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Boongg.com - Maharashtra's Largest Bike Rental Company, a tech enabled solution to automobile renting business spanning across client website, multi-user admin panel, 2 mobile apps and 10+ Integrations.

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Cars4All is a professionally managed used cars / pre-owned cars company offering cars with good after sales, service and warranty to keep your car as the best companion in your life.

Driving results with digital products

Integrated cockpit electronics providers

The ultimate driving experience with integrated applications

OEM component manufacturers and distributors

Custom applications built for complex OEM needs

Dealer and service networks

Building a cohesive customer experience across the network

Automotive manufacturers

Predictable delivery of all-terrain digital products



In-car customer experience

Tailored media, unique services, and fast response time from the dealership and the OEM are all opportunities for competitive advantage.

Predictive maintenance

Maximize uptime of vehicles and introduce predictability for dealerships using IoT data and machine learning models.

Top 10 Automotive Industry Trends & Innovations

Trends gives us insights where the industry is heading

  • Cars that are capable of driving themselves, often known as autonomous vehicles, reduce the need for human drivers and have the potential to revolutionise how people get about. Autonomous vehicle fleets seek to make public transit comparatively safer, broaden the breadth of last-mile deliveries, and minimise the amount of downtime that occurs. For instance, by minimising the number of accidents that are caused by drivers being negligent or too tired. Advanced identification technologies, such as AI-enhanced computer vision, are built into autonomous vehicles (AVs) so that they can recognise obstructions along the path.

  • A device that can anticipate the behaviour of pedestrians is being developed by the United States-based firm Intvo. In contrast to two-dimensional (2D) and three-dimensional (3D) object detection technologies, which only take into account a limited number of parameters, their solution analyses the head position, eye contact, and leg movements of pedestrians, as well as the weather conditions, in order to determine an appropriate risk level. This results in fewer false positives when attempting to identify pedestrians, which ultimately improves the safety of autonomous cars.

These days, automobiles are equipped with a digital identity that cannot be altered and that distinguishes them from all other automobiles connected to the network. This makes it possible to easily monitor data relating to vehicles, which may be useful in a variety of contexts, including insurance, driver safety, preventative maintenance, and fleet management. The sharing of data from vehicles benefits not just the individual consumer but also the whole mobility ecosystem. Vehicles are able to connect and share data with one another (known as "V2V"), an electric vehicle grid (known as "V2G"), and public infrastructure (known as "V2I"), as well as with new and developing applications for vehicle data. Startups and scaleups develop the vehicle connectivity solutions that make this possible (V2X).

In light of the diminishing fossil fuel sources and the environmental damage caused by the use of fossil fuels, it is imperative that electric transportation options be encouraged. Electric vehicles (EVs) need to overcome difficulties such as high price, insufficient battery, inadequate charging infrastructure, fleet electrification, as well as powering charging networks based on renewable energy in order to achieve higher acceptance. In response to these problems and the need to find solutions to the growing problem of global warming caused by greenhouse gas emissions, entrepreneurs are developing electric propulsion systems.

The advent of connected automobiles has led to the development of novel business models that place an emphasis on shared mobility as an alternative to the conventional ownership of vehicles. This makes it possible to provide mobility as a service, often known as MaaS, and prevents people from driving unneeded automobiles. These types of solutions are able to fulfil the needs of a municipality or an organisation without the addition of additional cars. As a result, the amount of time spent waiting for fleets and the pollution created by gasoline or diesel vehicles are both reduced.

Robotic automation in the automobile sector is one area that may benefit from artificial intelligence technology such as machine learning, deep learning, and computer vision. These manage fleets, aid drivers in improving safety, guide self-driving vehicles, and enhance services such as vehicle inspection and insurance. There are other uses for AI in the manufacture of automobiles, where it helps to boost the pace of production while simultaneously lowering costs.

Throughout the whole of a vehicle's existence, many choices are informed by the era of big data and sophisticated analytics. Data collected from cars makes it possible to do predictive maintenance, provides managers with information about their fleets, and notifies relevant authorities in the event of an accident. In addition, consumer data from the automobile industry may be used in a variety of applications, including the promotion of sales, the enhancement of product design for newer cars, and the optimization of supply chains. Big data solutions are being developed by new and emerging businesses to assist car manufacturers and auxiliary sectors in streamlining their business processes and increasing their profit margins. These solutions are being developed by startups and emerging firms.

When self-driving cars and connected automobiles redefine the landscape of the automotive industry, the way that drivers interact with vehicles will be radically altered as a result. Human-machine interfaces allow for the control of automobiles via the use of voice-based or haptic feedback. These broaden the range of how and what components of a vehicle may be controlled by its owners. As a consequence, the use of such interfaces results in a driving experience that is both more secure and more entertaining. Another kind of human-machine interface (HMI) consists of intelligent virtual assistants that facilitate interaction between drivers and passengers and other service providers.

There is a wide range of potential uses for blockchain technology in the automobile sector. These include the exchange of data pertaining to vehicles across a protected network for the purpose of facilitating connectivity and shared mobility solutions, such as ride-hailing, public transit, and delivery services. In addition, blockchain technology may be used to verify the supply chain of replacement parts or to ensure that both the raw materials and the spare parts come only from legitimate and reliable sources.

There are three key ways in which 3D printing is helpful to the automobile sector. To start, it makes it possible to create quick prototypes using 3D-printed models, which speeds up the design and testing stages of the manufacturing process. Second, it gives producers the ability to print replacement components that precisely meet their specifications. In conclusion, the additive printing of composite materials results in automobile components that are not only lighter but also more robust and long-lasting.

The Internet of Things provides safe communication between cars in the automobile sector, as well as connection between vehicles and infrastructure components. The technology enhances road safety, alleviates traffic congestion, and lowers pollution levels and energy consumption by allowing for more efficient fleet management. Innovative sensing technologies are being developed by new businesses and startups in order to collect more data about vehicles and to give vehicles the ability to comprehend their environment. Payments for gas and tolls may also be made automatically thanks to this technology.

What is up with Automotive Industry?

The automotive sector has been at the forefront of every significant industrial revolution, experiencing a wide range of revolutionary phases and developments that have had a significant impact on the essential operations of the industry. The automotive industry was initially established as a labor-intensive industry; however, as technological advancements were made and the primary production processes were eventually industrialised, the industry gradually evolved into one of the industries that is most sensitive to advances in technology. Now, in the face of the Fourth Industrial Revolution (Industry 4.0), carmakers have already introduced robotics, additive manufacturing, the Internet of Things (IoT), and various other related technologies in their core activities.

The end-to-end digitization of the value chain is widely considered to be the future of the industry. In turn, industrialization gave its place to automation. There has been a significant amount of change brought about by Industry 4.0 for all of the participants in the automotive value chain. Original equipment manufacturers (OEMs), suppliers, middle players, and retailers, among others, are in the process of reorganising their operations and transitioning into the new reality at this time. The proliferation of cutting-edge technology and an unprecedented level of connectedness all throughout the supply chain have made it possible for the sector to innovate, as well as accelerated the development of autonomous cars (AVs).

The new reality of autonomous driving is quickly approaching, and it is about to become a new pillar of disruption for the automotive industry. This will occur through the redefinition of the production process, as well as the introduction of new significant actors, particularly from the Information and Communications Technology (ICT) sector. These new significant actors are about to reshape the traditional role of OEMs, as well as the value appropriation along the value chain.

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