Research on digital transformation of automakers: Tesla is still the best reference
Digital transformation means that enterprises make full use of digital technologies (such as big data, cloud computing, artificial intelligence, etc.) in R&D, production, marketing and services to promote the transformation of business models, organizational structures, etc., so that concepts like intelligent manufacturing are derived.
Digital transformation in the automotive industry includes R&D and production digitalization, marketing service digitalization, product digitalization, and management digitalization.

In essence, digitization actually maps and orderly manages the real world (such as cars, roads, car owners, etc.) in the virtual world. The real world is transformed into various information systems through data collection from automobile production, R&D, marketing, services and management. Via the integration of information and data, big data and artificial intelligence technology which optimizes the processing of the virtual world, the process and management of the real world are optimized as well.
During the “Industry 3.0” era (automation and information age, approximately from 1980 to 2010), production information systems, R&D information systems, sales information systems, user and service information systems, etc. were formed, but these information systems were basically isolated then. Due to the low frequency of information collection, a lot of information still lagged.
With the substantial improvement in chip computing power and storage capacity, the automotive industry has entered the era of Industry 4.0 (intelligence) which will connect information systems in all business links. At the same time, the frequency and precision of information collection will be greatly improved, and some fields may even see digital twin (that is, the virtual world by digital mapping is highly consistent with the real world).
Tesla achieves the highest degree of intelligence among all automakers, and has basically connected the information systems and data of all business links. Tesla not only conducts self-research on electrification, connectivity and intelligence of cars, but also tries its best to develop software systems in the entire life cycle of cars.
Software-driven is the source of Tesla’s subversion of the entire automotive industry. Its self-developed software system named Warp supports its direct sales business in the United States and adapts to growth in China and other markets around the world. Warp is a combination of e-commerce and back-end management software and completely customized to support Tesla's counter-approach to selling and servicing cars. The automaker uses its Warp-powered e-commerce website and its own showrooms, not dealerships, to sell cars. Warp also handles all the back office functions for Tesla such as order processing, supply chain management, manufacturing workflow management, financial accounting and lead management.
China's emerging automaker NIO adopts a sales model similar to Tesla’s. No matter online or offline, NIO prefers self-operation and self-establishment. It basically relies on online channels to sell products, while displays the brand and offers user experience services offline. NIO's experiential digital marketing is widely praised. In terms of experience marketing, NIO starts from eight aspects: content experience, social experience, lifestyle experience, car purchase experience, driving experience, service experience, energy supplement experience, and battery swap experience.

Take the social experience as an example: users can set up groups in the NIO App. In other words, once a user becomes a car owner, a dedicated car owner service group of 13 people will be formed. In the service group, there are sales partners, service specialists, power-on specialists, as well as various technical specialists and city general managers. When users have any problems in the process of using cars, they can inquire in the group, and someone will respond to and solve problems immediately.
The traditional automakers BMW and Mercedes-Benz have developed APPs which pay attention to functions and require registration. They only provide services for existing car owners, so they are unattractive to potential car owners. The limited traffic cannot support sales volume conversion.
As the emerging automakers represented by Tesla have been digitally operated from the beginning, they are sought after by consumers and recognized by the market. The emergence of new forces has posed tremendous pressure on traditional automakers who thus have formulated digital strategies one after another to boost digital transformation.
At present, automakers mainly deploy digital transformation in five aspects:
First, they establish software companies or R&D divisions as well as build software teams through self-construction or cooperation.

Second, automakers set up digital centers internally to coordinate the digital transformation of the entire groups and promote the implementation of overall digital strategy.

Third, automakers can reduce costs and improve competitiveness by allying with other automakers.
Fourth, automakers prompt digital transformation through cooperation with technology companies (such as Baidu, Alibaba, Tencent, Huawei, etc.).
Fifth, automakers create an online & offline user-centric digital marketing model.
GM’s 4S stores have evolved into a "7S modular dealer service system" consisting of New Car Sale, After-Sales Services, Spare Parts, Information Survey, Pre-owned Car Services, Sharing and Financial Support.
Xpeng's "2S+2S" marketing model disassembles "4S" into two parts: online (marketing and parts available on Tmall) and offline (after-sales services and information feedback). Through the dual-channel linkage of "the Tmall flagship store + offline stores", Xpeng connects both online and offline fields, which not only greatly reduces costs, but also brings consumers with new experience.
This report analyzes 21 OEMs’ strategies and specific measures for transformation. Conventional automakers like Toyota and Changan Automobile have made successes in digital transformation as well, in addition to emerging carmakers.
Toyota Digital Transformation focuses on five aspects: first, adjusting organizational structure, with high priority on restructuring of TRI-AD, Toyota’s advanced software company and segmenting its business into “R&D of Automated Driving Technologies”, “Incubation of Innovative Projects” and “Investment in Emerging Areas”; second, launching the Mobility Services Platform (MSPF) for an upgrade to the next-generation mobility services; third, building a cloud service platform for better business and operation models; fourth, creating Toyota New Global Architecture (TNGA) to reform R&D and production links; fifth, developing digital products, with deployments in autonomous driving, HD map, chip, HMI, etc.

Changan Automobile takes software as its corporate strategy, setting up a software center to enhance its digital transformation. For R&D and production, the automaker builds a R&D cloud platform for advancing construction of smart cities; for marketing, it creates an integrated marketing cloud platform and self-establishes an ecommerce platform; for product digitization, it makes deployments in areas from cloud platform and intelligence to telematics by way of independent construction and cooperation.
Despite great efforts on digital transformation, quite a few automakers still face some challenges, such as:
Underpowered transformation, disputed transformation model, and some departments’ reluctance to transform;
Poor ability to attract customers online in digital marketing, and lower-than-expected return on offline high investment;
Under-investment in digital transformation, which blames for conventional businesses;
Lack of software teams and user operation experience.
Software-Defined Vehicles in 2025: SOA and Middleware Industry Research Report
Research on automotive SOA and middleware: Development towards global SOA, cross-domain communication middleware, AI middleware, etc.
With the implementation of centrally integrated EEAs, OEM softwar...
Global and Chinese OEMs’ Modular and Common Technology Platform Research Report, 2025
Modular platforms and common technology platforms of OEMs are at the core of current technological innovation in automotive industry, aiming to enhance R&D efficiency, reduce costs, and accelerate...
Research Report on the Application of AI in Automotive Cockpits, 2025
Cockpit AI Application Research: From "Usable" to "User-Friendly," from "Deep Interaction" to "Self-Evolution"
From the early 2000s, when voice recognition and facial monitoring functions were first ...
Analysis on Li Auto’s Layout in Electrification, Connectivity, Intelligence and Sharing, 2024-2025
Mind GPT: The "super brain" of automotive AI Li Xiang regards Mind GPT as the core of Li Auto’s AI strategy. As of January 2025, Mind GPT had undergone multip...
Automotive High-precision Positioning Research Report, 2025
High-precision positioning research: IMU develops towards "domain controller integration" and "software/hardware integrated service integration"
According to ResearchInChina, in 2024, the penetration...
China Passenger Car Digital Chassis Research Report, 2025
Digital chassis research: Local OEMs accelerate chassis digitization and AI
1. What is the “digital chassis”?
Previously, we mostly talked about concepts such as traditional chassis, ch...
Automotive Micromotor and Motion Mechanism Industry Report, 2025
Automotive Micromotor and Motion Mechanism Research: More automotive micromotors and motion mechanisms are used in a single vehicle, especially in cockpits, autonomous driving and other scenarios.
Au...
Research Report on AI Foundation Models and Their Applications in Automotive Field, 2024-2025
Research on AI foundation models and automotive applications: reasoning, cost reduction, and explainability
Reasoning capabilities drive up the performance of foundation models.
Since the second ha...
China's New Passenger Cars and Suppliers' Characteristics Research Report, 2024-2025
Trends of new cars and suppliers in 2024-2025: New in-vehicle displays are installed, promising trend of AI and cars is coming
ResearchInChina releases the China's New Passenger Cars and Suppli...
Global and China Skateboard Chassis Industry Report, 2024-2025
Skateboard chassis research: already used in 8 production models, and larger-scale production expected beyond 2025
Global and China Skateboard Chassis Industry Report, 2024-2025 released by ResearchI...
Two-wheeler Intelligence and Industry Chain Research Report, 2024-2025
Research on the two-wheeler intelligence: OEMs flock to enter the market, and the two-wheeler intelligence continues to improve
This report focuses on the upgrade of two-wheeler intelligence, analyz...
Automotive MEMS (Micro Electromechanical System) Sensor Research Report, 2025
Automotive MEMS Research: A single vehicle packs 100+ MEMS sensors, and the pace of product innovation and localization are becoming much faster.
MEMS (Micro Electromechanical System) is a micro devi...
Intelligent Vehicle Cockpit-driving Integration (Cockpit-driving-parking) Industry Report, 2024-2025
Cockpit-driving integration is gaining momentum, and single-chip solutions are on the horizon
The Intelligent Vehicle Cockpit-driving Integration (Cockpit-driving-parking) Industry Repor...
Automotive TSP and Application Service Research Report, 2024-2025
TSP Research: In-vehicle connectivity services expand in the direction of cross-domain integration, all-scenario integration and cockpit-driving integration
TSP (Telematics Service Provider) is mainl...
Autonomous Driving Domain Controller and Central Control Unit (CCU) Industry Report, 2024-2025
Autonomous Driving Domain Controller Research: One Board/One Chip Solution Will Have Profound Impacts on the Automotive Supply Chain
Three development stages of autonomous driving domain controller:...
Global and China Range Extended Electric Vehicle (REEV) and Plug-in Hybrid Electric Vehicle (PHEV) Research Report, 2024-2025
Research on REEV and PHEV: Head in the direction of high thermal efficiency and large batteries, and there is huge potential for REEVs to go overseas
In 2024, hybrid vehicles grew faster than batter...
Automotive AI Agent Product Development and Commercialization Research Report, 2024
Automotive AI Agent product development: How to enable “cockpit endorser” via foundation models?
According to OPEN AI’s taxonomy of AI (a total of 5 levels), AI Agent is at L3 in the AI development ...
China ADAS Redundant System Strategy Research Report, 2024
Redundant system strategy research: develop towards integrated redundant designADAS redundant system definition framework
For autonomous vehicles, safety is the primary premise. Only when ADAS is ful...