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Auto Tech Outlook | Thursday, September 15, 2022
A comprehensive survey of automotive industry trends to look forward to in 2022 reveals information-centric technologies playing a central role in the industry's future.
FREMONT, CA: The worldwide effects of automotive trends and innovations on businesses are exceedingly evident. Numerous startups globally are working on emerging technologies and progressing in their respective fields.
Autonomous Vehicles (AVs)
Self-driving or autonomous vehicles reduce the need for human drivers and appear prepared to revolutionise daily transportation. Fleets of AVs aim to make public transportation somewhat safer, increase the range of last-mile deliveries, and decrease downtime. For instance, by lowering accidents brought on by carelessness or driver exhaustion. AVs have cutting-edge recognition technology, like computer vision with AI enhancements, to recognise obstructions in their path.
One vehicle differs from other vehicles in the network by tamper-proof digital identification. This makes it simple to track vehicle data for various applications, including fleet management, insurance, driver safety, and predictive maintenance. Sharing vehicle data improves the entire mobility ecosystem, not just the individual client. To connect and exchange data with other vehicles (V2V), an electric vehicle grid (V2G), and public infrastructure (V2I), as well as with novel and developing ways to use vehicle data, startups today are developing vehicle connection solutions (V2X).
The need to encourage the adoption of electric transportation solutions is driven by the dwindling fossil fuel reserves and the harm their use causes to the environment. EVs must overcome problems such as high cost, bad battery, inadequate charging infrastructure, fleet electrification, and powering renewable energy-based charging networks if they are to be widely adopted. Startups are developing electrification solutions in response to these issues and the requirement to address the rising greenhouse gas emissions worldwide.
New business models that emphasise shared mobility as an alternative to traditional vehicle ownership have emerged due to linked automobiles. As a result, unused cars are discouraged, and mobility-as-a-service (MaaS) is enabled. Without purchasing additional vehicles, these solutions satisfy the needs of a city or a company, lowering fleet wait times and pollution from gasoline or diesel vehicles.
Robotic automation in the automobile sector uses artificial intelligence technologies, including computer vision, deep learning, and machine learning. These direct autonomous vehicles oversee fleets, help drivers be safer, and enhance vehicle inspection and insurance services. AI is also used to produce automobiles, lowering costs and speeding up production.
Big Data & Analytics
Throughout a vehicle's lifecycle, decisions are made using big data and advanced analytics. Vehicle data enables predictive maintenance, provides managers with fleet information and notifies relevant authorities in the event of an accident. Additionally, customer automobile data has been used for boosting sales, streamlining supply chains, and improving product design for more recent vehicles. Startups are creating big data solutions to assist automakers and related sectors in streamlining their processes to increase profitability.