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Daily Newsletter

08 August 2023

Daily Newsletter

08 August 2023

Nissan Titan to be dropped after 2024

US pickup range will be Frontier once Titan is gone

Dani Cole August 08 2023

Leaked Nissan production documents appear to show that the Nissan Titan, which is manufactured in the US, will be scrapped at the end of this model year.

The Japanese automaker has since confirmed the news, according to statement shared to media outlets.

The end of the Titan reflects the difficulty in breaking into the full-size pickup market.

Nissan will be refocusing its efforts to electrification and clarified that there would be no workforce reduction as a result of its decision.

In the statement, it said: “Production of the Nissan Titan is scheduled to end summer 2024 at our Canton plant in Mississippi.

“Under Nissan’s Ambition 2030 vision of an electrified future, we are accelerating the process of transforming the Canton plant with the latest in EV manufacturing technology. This will support production of two all-new, all-electric vehicles.”

Once touted as a challenge to the Ford F-150 and the Ram 1500, the Titan was pulled from the Canadian market after the 2021 model year. In 2005, it did not exceed sales of 25,000 and in 2022, sales declined to just over 15,000 units.

It is reported that Nissan’s US pickup range will comprise of just the mid-size Frontier.

AI is a key part of the digital revolution shaping the automotive sector

GlobalData estimates the total AI market will be worth $909 billion in 2030, having grown at a CAGR of 35% between 2022 and 2030. The automotive sector is undergoing a digital transformation fuelled by changing global supply-chain dynamics, tighter market competition, and rising inflation. AI is a key part of this digital revolution. Focus is directed toward driver assistance features for safety and hazard detection and greater automation of many vehicle processes and functions. Simultaneous localization and mapping (SLAM), facial recognition, and motion tracking will be vital for developing incockpit safety features such as early driver fatigue detection. For the most part, the automotive sector will not play a significant role in creating and developing generative AI hardware or platforms. Instead, it will be a key driver for innovations in machine learning platforms and associated IoT hardware for autonomous driving and ADAS. This will also help to drive advances and greater scale-up of adoption of these AI technologies in adjacent sectors such as travel and tourism and construction.

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