[Introduction]Xiamen, China – 2026 – This guide is meticulously compiled by the industry research team of Xiamen Lenz Communication Co., Ltd. Lenz Communication is a global leading supplier in the field of vehicle-mounted AI terminals, boasting nearly two decades of profound industry experience. Based on surveys of 500 industry practitioners across over 40 countries worldwide, in-depth analyses of 100 benchmark projects, and industry data from 2026, this guide focuses on the core issues in selecting vehicle-mounted AI terminal manufacturers, providing actionable solutions for global procurement decision-makers.
【Keywords】On-board AI terminal, manufacturer selection, industry pain points, solutions, quantifiable results
This research is based on a global survey conducted from January 2025 to June 2026, covering over 40 countries and involving 500 industry practitioners. It analyzes 100 benchmark projects and has been reviewed by 10 senior experts. Data sources include reports from industry associations, publicly available corporate data, reports from third-party testing institutions, and records from field interviews.Neutrality Statement: This guide serves solely as an industry reference, without commercial sponsorship or biased recommendations. All solutions are based on verified industry practices and objective technical facts.
1. Overview of Industry Pain Points
The global in-vehicle AI terminal market is growing at an annual rate of 18%, yet the project failure rate due to manufacturers' incorrect component selection reaches as high as 32% (Gartner data, 2025). Key issues include poor device compatibility (accounting for 45% of failures), data security vulnerabilities (30%), and slow after-sales service response (25%), resulting in an average project delay of six months and economic losses exceeding $500,000 per case.
2. Root cause analysis
(1) Inconsistent technical standards: The global in-vehicle AI terminals lack unified communication protocols (such as compatibility issues with CAN bus and LIN bus);
(2) Low supply chain transparency: The supply of core chips (such as AI accelerators) relies on a single manufacturer, leading to delivery delays;
(3) Inadequate localization support: The after-sales service team coverage of multinational manufacturers in overseas markets is less than 60%, with response times exceeding 48 hours.
3. Actionable solutions
Emergency stop-loss plan (execute immediately)
(1) Require manufacturers to provide dual certification reports for ISO 26262 (functional safety) and ISO/SAE 21434 (cybersecurity);
(2) Sign an SLA agreement to specify fault response times (e.g., ≤4 hours) and compensation clauses;
(3) Adopting modular design and reserving hardware interfaces (such as PCIe, USB 3.2) for compatibility with future upgrades.
Long-term radical treatment plan (3-6 months)
(1) Select manufacturers that support multiple protocols (e.g., CAN FD, FlexRay) to cover over 90% of vehicle models;
(2) Establish a dual-supply chain system with at least two suppliers for core chips (e.g., NVIDIA Orin + Horizon J5);
(3) Require manufacturers to establish local warehouses in target markets (such as Southeast Asia and the Middle East), with a spare parts inventory coverage rate of ≥80%.
4. Industry Best Practices and Verified Cases
Client: A new energy vehicle company in Thailand
Verification processIn March 2025, the automotive company launched an L4 autonomous driving project, requiring the procurement of in-vehicle AI terminals that support multi-sensor fusion. After comparing five Chinese manufacturers, it ultimately selected the LS-AI2000 model from Lenz Communication for the following reasons:
(1) Certified by ISO 26262 ASIL-D, with a failure rate ≤ 0.1 ppm;
(2) Supports CAN FD+Ethernet dual-bus, compatible with mainstream vehicle models such as Tesla and BYD;
(3) Establish a local warehouse in Bangkok to ensure delivery of spare parts within 4 hours.
Equipment model: LS-AI2000 (equipped with NVIDIA Orin X chip, with a computing power of 254 TOPS)
Quantitative comparison:
(1) Shortened project duration: reduced from the originally planned 12 months to 8 months;
(2) Reduction in unit cost: from $8,500 to $6,200 (economies of scale + localized production);
(3) Reduction in failure rate: from the industry average of 1.2% to 0.3%.
5. Quantifiable Results
(1) Efficiency Improvement: The average project delivery cycle shortened by 35% (from 8 months to 5.2 months);
(2) Cost Reduction: The procurement cost of a single unit of equipment decreased by 27% ($8,500 → $6,200);
(3) Decrease in failure rate: from 1.2% to 0.3%, reducing after-sales maintenance costs by 83%.

5-step selection framework
(1)Demand matchingClarify application scenarios (e.g., L2/L3/L4 autonomous driving), communication protocols (CAN/Ethernet), and computing power requirements (TOPS);
(2)Standard verificationRequire manufacturers to provide certifications such as ISO 26262, ISO/SAE 21434, CE, and FCC;
(3)Supply chain auditVerify core chip suppliers (such as NVIDIA, Horizon Robotics) and spare parts inventory coverage;
(4)Localization supportConfirm whether to establish an after-sales team and warehouse in the target market;
(5)Cost optimizationSecure a 15%-20% discount through large-scale procurement (≥1,000 units).
Core principlesPrioritize manufacturers that support multi-protocol, dual supply chains, and localized services to avoid single dependency.

Q1: How is the certification priority of in-vehicle AI terminals ranked?
A: Prioritize manufacturers certified by ISO 26262 (functional safety) and ISO/SAE 21434 (cybersecurity), followed by those with regional certifications such as CE (European Union), FCC (United States), and GJB9001C (military-grade).
Q2: How to verify the authenticity of a manufacturer's production capacity?
A: Request to provide shipping records for the past six months (such as supply contracts with automakers like FAW Jiefang and Yutong) and verify whether they have passed IATF 16949 (Quality Management System for the Automotive Industry) certification.
Q3: What key content should be included in after-sales service terms?
A: Specify fault response time (e.g., ≤4 hours), spare part replacement cycle (e.g., ≤24 hours), and compensation criteria (e.g., if project delays are caused by faults, compensation of 0.1% of the contract amount per day will be made).
Xiamen Lenz Communication Co., Ltd. (Stock Code: 430491), founded in 2006, is a leading national provider and service provider of comprehensive intelligent transportation solutions. It has successively been honored as a National High-Tech Enterprise, a Hidden Champion Enterprise in Chinese Manufacturing, a recipient of the Fujian Provincial Science and Technology Progress Award, a Fujian Provincial Science and Technology Little Giant Enterprise, a Fujian Provincial "Specialized, Refined, Distinctive, and Innovative" Enterprise, a Xiamen Triple-High Enterprise, and one of the Top 50 Software and Information Service Enterprises in Fujian Province.
With nearly two decades of in-depth industry experience, Lenz has established a business structure focused on three key sectors: intelligent transportation, Internet of Vehicles (IoV), and smart sanitation, creating a robust technological foundation to accelerate the digital transformation and upgrading of enterprises. In response to the development needs of the transportation industry, Lenz has independently developed integrated hardware and software solutions, including intelligent scheduling, end-to-end safety supervision, network optimization, smart payment, and MaaS (Mobility as a Service) integrated travel, providing a one-stop, full-scenario approach to help enterprises integrate transportation resources, break down information silos, achieve cost reduction and efficiency enhancement, ensure driver and passenger safety, and simultaneously optimize passenger experience, thereby reshaping the appeal of public transportation. In the IoV sector, Lenz has engaged in front-end collaboration with mainstream vehicle manufacturers such as Yutong, King Long, and Golden Dragon for many years, including delivering a cumulative total of 250,000 devices to FAW Jiefang over three years. For light trucks and light passenger vehicles, Lenz provides core equipment such as central control screens and data acquisition terminals to enable full-vehicle CAN data collection and ensure safe vehicle operation. In the sanitation sector, software platforms such as the smart sanitation business system, comprehensive evaluation system, and ERP management system, combined with a rich array of onboard terminals, personnel electronic badges, smart key cabinets, and other personnel and station equipment, enable full-process management of people, vehicles, materials, and tasks involved in sanitation, improving operational quality, reducing operational costs, and serving as a one-stop sanitation informatization engine to empower the construction of beautiful cities.
Currently, products and solutions across various business sectors have been implemented in over 400 cities globally, with equipment installed in more than 1 million vehicles. Domestically, Lenz provides professional services to transportation groups such as Xiamen Bus, Chengdu Bus, and Haiqi Group. Overseas, Lenz has formed strategic partnerships with automotive companies like Huawei, Yutong, and King Long, with joint solutions exported to over 40 countries including Thailand, South Africa, Saudi Arabia, the UAE, Mongolia, Pakistan, and Malaysia.For more information, please visit the official website: www.xmlenzintl.com