ResearchInChina released the " AI/AR Glasses Industry Research Report, 2025", which deeply explores the field of AI smart glasses, sorts out product R&D and ecological layout of leading domestic and foreign manufacturers, and analyzes OEM-related eco-chain enterprises in AI glasses field. It conducts a panoramic review of typical AI glasses pro...More details

T-Box Research: T-Box will achieve functional upgrades given the demand from CVIS and end-to-end autonomous driving ResearchInChina released the "Global and China Passenger Car T-Box Market Report 2025", highlighting:Global and Chinese T-Box market size forecast;The demand and impact of automotive V2X, 5G, satellite communications and other functi...More details

Research on automotive MCUs: the independent, controllable supply chain for automotive MCUs is rapidly maturing Mid-to-high-end MCUs for intelligent vehicle control are a key focus of domestic products replacing foreign ones. In the trends towards software-defined vehicles, intelligence, and electrification, the intelligent vehicle control sector...More details

In early 2025, BYD's "Eye of God" Intelligent Driving and Changan Automobile's Tianshu Intelligent Driving sparked a wave of mass intelligent driving, making the democratization of intelligent driving increasingly evident. LiDAR technology has now been extended to models priced between 100,000 and 150,000 yuan (such as the Galaxy E8, bZ3X, and Leap...More details

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 software architectures are evolving towards global SOAs In the context of software-defined vehicles, automotive architectures are evolving towards centraliz...More details

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 technological innovation. Modular platforms serve as the cornerstone for the expansion of OEMs' product matrices, while common technology platforms d...More details

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 integrated into vehicles, to the rise of the "large model integration" trend in 2023, and further to 2025 when automakers widely adopt the reasoning m...More details

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 multiple iterations since December 2023, been installed in more than 500,000 vehicles, processed 120 million interaction requests daily, and performed tasks...More details

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, analyzes and studies the market size, intelligent functional characteristics, industrial chain of intelligent components, overseas markets, competition land...More details

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 device or system that integrates micromechanical structures, micro sensors, micro actuators, signal processing and control circuits, communication interfa...More details

Cockpit-driving integration is gaining momentum, and single-chip solutions are on the horizon   The Intelligent Vehicle Cockpit-driving Integration (Cockpit-driving-parking) Industry Report, 2024-2025 released by ResearchInChina combs through and summarizes the advantages and disadvantages of driving-parking integration, cockpit-parking...More details

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 mainly responsible for data collection and supply between cars and various service providers, thereby providing more diversified services to car owners. TS...More details

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: Multi-Board, One Board, One Chip As per ResearchInChina, passenger cars (excluding imports and exports) in the Chinese market were installed with 2....More details

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 battery electric vehicles (BEV) globally, and the sales of PHEVs & REEVs surpassed hybrid electric vehicles (HEV) for the first time.  In 2023, 9...More details

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 path: Limited by interaction modes and tool usage capabilities, popular foundation models in 2023 can only reach L2 (Reasoners) at most. In contra...More details

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 fully redundant can real safety be ensured. Currently, the redundant design of most OEMs, Tier 1 suppliers and L4 autonomous driving companies is mainly ...More details

Automotive OTA research: With the arrival of the national mandatory OTA standards, OEMs are accelerating their pace in compliance and full life cycle operations The rising OTA installations facilitate rapid adoption of new intelligent technologies such as AI foundation models and NOA in vehicles.  From January to September 2024, 11.083 millio...More details

End-to-end intelligent driving research: How Li Auto becomes a leader from an intelligent driving follower There are two types of end-to-end autonomous driving: global (one-stage) and segmented (two-stage) types. The former has a clear concept, and much lower R&D cost than the latter, because it does not require any manually annotated data set...More details

Smart door research: The market is worth nearly RMB50 billion in 2024, with diverse door opening technologies  This report analyzes and studies the installation, market size, competitive landscape, suppliers’ strategies, OEMs’ strategies, development trends, etc. of various smart door products. The research scope mainly covers:1. The install...More details

Commercial vehicle intelligent chassis research: 20+ OEMs deploy chassis-by-wire, and electromechanical brake (EMB) policies are expected to be implemented in 2025-2026 The Commercial Vehicle Intelligent Chassis Industry Report, 2024 released by ResearchInChina combs through and summarizes status quo, installation, product layout of suppliers, an...More details