The future of the automotive industry will be shaped by a range of disruptive themes, with autonomous vehicles (AVs) being one of the four megatrends impacting the growth of the industry for the next decade.
Fully autonomous vehicles are vehicles that can drive themselves without human input. There are five levels of vehicle autonomy ranging from Level 1 to 5. The promise of AV models is great – they could bring mobility to sections of the market that have never before had access such as children, disabled people, and those otherwise unable to drive themselves. In addition, AVs could enable a brace of new businesses in the commercial space such as ride-hail services using robotaxis, on-demand freight logistics services, or mobile retail and service spaces that can be brought directly to the customer.
However, the challenge of commercialising AVs has proven equally great. The leap taken from level 1 autonomy to level 2, for example, is small compared to the jump in complexity needed for level 3 ‘eyes-off’ AV operation. These systems then look laughably simple compared to the level of complexity that will be demanded by truly self-driving level 4 and level 5 models, which might not even include controls for human drivers.
Nevertheless, not all companies are equal when it comes to their capabilities and investments in the key themes that matter most to their industry. Understanding how companies are positioned and ranked in the most important themes can be a key leading indicator of their future earnings potential and relative competitive position.
According to GlobalData’s thematic research report, Autonomous Vehicles, leading adopters of AVs include: Tesla, SAIC Motor, Baidu, GM, and BMW.
Insights from top ranked companies
General Motors (GM)
General Motors acquired Cruise for more than $1bn in 2016 and this is generally considered in automotive circles to have been a good move, allowing it to leapfrog into autonomous driving. In January 2021, Cruise announced it had secured an additional $2bn through an investment round led by Microsoft along with existing partners GM and Honda. At the start of 2020, the company revealed the Cruise Origin self-driving shuttle concept. Like other pod-type AVs, this has no human controls and is fully self-driving within a geofenced area – meeting level 4 AV standards. Honda has also expressed interest in bringing the Origin to Japan to form a robotaxi service there. Cruise expects the Origin to go into production in 2023, built at GM’s Detroit Hamtramck plant.
Long dubbed ‘China’s Google’, Baidu has emerged as China’s top AI operation. Currently, it focuses much of its AI efforts into its open-source operating system for AVs. Baidu’s Apollo self-driving platform hopes to do for smart cars what Google Android did for smartphones. Baidu is working with Nvidia, Continental, Bosch, and Microsoft (the latter bringing its Azure cloud platform to the party) to help turn Apollo into the world’s leading open-source self-driving platform for third-party original equipment manufacturers (OEMs). In April 2020, Baidu’s Apollo platform saw the launch of the ‘Apollo Go’ self-driving taxi service in Hunan province, China. This expanded to cover Beijing in September 2020 and Guangzhou in February 2021.
By April 2021, the Beijing operation had been fully commercialised. In August 2021, Baidu added its self-designed Apolong II self-driving minibus to the Apollo Go platform, merging its robotaxi plans with its commercialised service. Later that same month, the company showed a concept for a level 5 self-driving car – one that can handle the dynamic driving task in all circumstances.
Tesla is an audacious, PR-savvy agenda setter in the auto and alternative energy sectors. The company is at the forefront of AV technology through its Level 2 Autopilot and full self-driving features. Unlike many rivals, Tesla has based its AV systems on 360-degree camera vision and ultrasonic sensors, using its own AI image processing to determine the safe path forward.
Furthermore, Tesla can credibly claim to sit alongside Waymo, Baidu, and Cruise in the vanguard of auto brain building. Using its network of cars equipped with Autopilot, Tesla claims to have racked up more than one billion miles of data which can enhance its machine learning system – although it’s unclear how many of those miles were covered with Autopilot actually engaged.
To further understand the key themes and technologies disrupting the automotive industry, access GlobalData’s latest thematic research report on Autonomous Vehicles.
- Great Wall
- GAC Group
- Changan Automobile
- Hyundai Motor
- Dongfeng Autos
- Tata Motor
- Mazda Motor Corp
- Mitsubishi Motors
- Mahindra & Mahindra
- Subaru Corp