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Daily Newsletter

20 September 2023

Daily Newsletter

20 September 2023

Signal: China’s Kaixin Auto plans acquisition of WM Motor

Acquisition brings new capabilities to Kaixin Auto

David Leggett

Kaixin Auto Holdings, a dealership in the premium used car segment and new car sales in China, has signed a non-binding acquisition term sheet with WM Motor Holdings Limited and is planning to issue a certain number of new shares to acquire 100% of the equity of WM Motor held by its current shareholders.

WM Motor is a vehicle technology provider founded in 2015 with capabilities in product design, R&D, supply chain management, vehicle and battery pack manufacturing, online digital marketing, sales and services channels (online and offline) and auto financing.

According to GlobalData’s deals database, WM Motor owns and operates two Industry 4.0 intelligent manufacturing factories in Wenzhou and Huanggang, China, and has launched various cooperation projects in the European Union, the Middle East, ASEAN and North America.

Mingjun Lin, chairman and CEO of Kaixin, said: "WM Motor's fashion technology product positioning and branding has a good match with Kaixin's strategic development goals. Through the intended acquisition, WM Motor will gain access to more capital support to enhance the development of its smart mobility business.”

Our signals coverage is powered by GlobalData’s Thematic Engine, which tags millions of data items across six alternative datasets — patents, jobs, deals, company filings, social media mentions and news — to themes, sectors and companies. These signals enhance our predictive capabilities, helping us to identify the most disruptive threats across each of the sectors we cover and the companies best placed to succeed. 

AI set to be the face of the digital revolution shaping the automotive sector

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.

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