Quality WiFi7 Module & WiFi HaLow Module manufacturer

On August 31, 2026, a report by CCTV Finance shook the entire semiconductor industry. According to industry research data, the demand for domestically produced AI chips in 2026 was approximately 4 million units, while actual deliveries were only around 3 million units, leaving a capacity gap of millions . Some high-end computing power companies already had orders booked three years into the future .   What is the connection between this "computing power famine" in the cloud computing field and the Wi-Fi, Bluetooth, and PLC modules shipped every day? The answer lies hidden in three transmission paths. I. Three transmission paths of computing power shortage Path 1: Structural shortage of memory chips The insane demand for high-bandwidth memory (HBM) from AI servers is reshaping the global DRAM supply landscape. Memory manufacturers are prioritizing capacity for the more profitable AI-grade HBM while cutting production of traditional memory chips such as LPDDR4 . According to TrendForce data, traditional DRAM contract prices rose by 90% to 95% quarter-on-quarter in the first quarter of 2026. Entering the second quarter, general DRAM contract prices continued to rise by 58% to 63% quarter-on-quarter, while NAND Flash contract prices rose by 70% to 75% . Changxin Memory Technologies, a leading memory chip company, reported revenue of 150.3 billion yuan in the first half of the year, a staggering 873.64% year-on-year increase. For Wi-Fi and Bluetooth modules that require the integration of DRAM and Flash, this means that the BOM cost is systematically increased . Path Two: Cost Resonance Across the Entire Industry Chain The surge in demand for AI chips has not only driven up storage prices but has also triggered a chain reaction of price increases across the entire industry chain. On July 1, 2026, ASE Technology Holding Co., Ltd., the world's leading semiconductor packaging and testing supplier, announced another round of price increases for its packaging products, with the highest increase exceeding 20% , primarily targeting advanced packaging categories such as CoWoS and FoCoS . There is still approximately a 10% supply-demand gap in advanced packaging technologies . From components such as crystal oscillators, PCBs, MLCCs, and inductors, to semiconductor stages such as chip packaging and testing, substrates, and silicon wafers, rising costs are passed down through each stage to the module stage. The BOM cost of each Wi-Fi/Bluetooth module is passively increasing . Path Three: The "Siphoning Effect" of Production Capacity AI chips are not only consuming advanced process capacity, but also taking up a large amount of mature 8-inch wafer capacity. Wafer fabs and packaging and testing plants are prioritizing capacity for high-profit AI computing power orders, squeezing the capacity of IoT chips. Yole projects the 2.5D/3D advanced packaging market to reach nearly $35 billion by 2030. Industry experts generally anticipate that the tight supply and demand situation for advanced packaging will continue . Counterpoint predicts that the average selling price of cellular IoT modules will face upward pressure in the second half of 2026 , primarily due to the continuously rising cost of memory . This means that the production capacity of IoT chips such as Wi-Fi and Bluetooth may face long-term pressure, with tight supply and extended delivery times becoming the norm. II. A Tale of Two Extremes: Industry Differentiation Amidst Computing Power Shortages The "Ice" Side: Short-Term Pain The most direct impact of the AI chip shortage on the module industry has already begun to appear in the data. According to a report released by Counterpoint Research, shipments of embedded AI cellular IoT modules declined by nearly 17% year-over-year in the first quarter of 2026 , marking the first decline after 12 consecutive quarters of growth . In 2025, this category maintained a year-over-year growth of 19% . As memory costs rise, the average selling price of embedded AI cellular modules has increased by double digits , forcing module manufacturers to raise prices. Ultimately, the increase in hardware costs has affected demand across various application areas . Meanwhile, global shipments of cellular IoT modules grew by only 4% year-on-year in the first quarter of 2026 , marking the first time they had fallen to single digits after seven consecutive quarters of double-digit growth . Shipments in the Chinese market declined by 2% year-on-year in the same quarter . The "Fire" Side: Long-Term Opportunities However, short-term cost pressures have not changed the industry's long-term direction. A report by Shanxi Securities points out that IoT modules are evolving from basic communication functions towards high computing power and intelligence. Counterpoint Research predicts that by 2030, the penetration rate of artificial intelligence in cellular modules will reach 25% . "Artificial intelligence will no longer be limited to a few niche applications, but will become a standard feature." In the Wi-Fi sector, the global Wi-Fi module market size is projected to reach $16.82 billion in 2026, representing a year-on-year growth of 17.9% . The market share of Wi-Fi 7 modules will rapidly climb to 17.2%, with an estimated 234 million units shipped throughout the year . IDC data shows that in the first quarter of 2026, Wi-Fi 7 already accounted for 44.5% of global enterprise WLAN AP revenue, a significant increase compared to 11.8% in the first quarter of 2025. The Wi-Fi Alliance predicts that global Wi-Fi 7 device shipments will reach approximately 1.1 billion units in 2026 . III. The Response Logic of Module Manufacturers: From "Passive Pressure" to "Proactive Breakthrough" Faced with the cost impact across the entire industry chain caused by the shortage of cloud AI chips, Shenzhen Qogrisys has transformed external pressure into an upgrade impetus through its contingency strategies: On the supply chain side , we have established deep ecological collaborations with chip manufacturers such as Qualcomm, Realtek, Wuqi, and HiSilicon, upgrading the procurement relationship to a "joint development + capacity lock-in" model, so as to ensure supply stability during periods of tight capacity through large-scale operations and long-term cooperation. On the product side , the company aims to mitigate risks through full-scenario coverage. The Wi-Fi 7 module (O2072PM/ O2072PB ) is positioned to capitalize on the next-generation high-speed connectivity window, the PLC module (3121N-H/S130N-ISI) serves as a cost "ballast" with low storage dependence, and the domestic innovation module (O9201SB/O9201PM) enters the 2.66 trillion yuan domestic substitution market. At the same time, the company is also developing cutting-edge technologies such as Wi-Fi HaLow and AIoT modules. On the service side , the company is shifting from "selling standard products" to "selling deeply customized solutions," enhancing customer loyalty with a complete hardware platform foundation and full-chain technical services. On the compliance side , products have obtained certifications from multiple countries, including FCC, CE, and SRRC, circumventing trade barriers. This cost shock caused by the shortage of AI computing power is accelerating the weeding out of weaker players in the module industry, while deep ecosystem collaboration, a full-scenario product matrix, and customized service capabilities are becoming the core barriers for module solution providers to weather the cycle. IV. The "Safe Haven" Effect of PLCs In this round of AI chip shortages, PLC (Power Line Carrier) modules are relatively less affected . PLC modules have a lower reliance on high-bandwidth memory, unlike high-end Wi-Fi/Bluetooth modules which require the integration of large-capacity DRAM and Flash. PLC main control chips mostly use mature manufacturing processes, and although they also face some capacity constraints, the extent is far less than that of AI-related chips. In major PLC application scenarios such as smart lighting and smart homes, the requirements for real-time performance and stability are higher than computing power, and the impact of the AI chip price surge is relatively indirect. When Wi-Fi/Bluetooth modules face a comprehensive cost increase, PLC modules become a relatively cost-effective and stable connection solution. V. From “Selling Connectivity” to “Selling Connectivity + Computing”: A Paradigm Shift in the Module Industry This computing power shortage reveals a deeper industry trend: the module industry is moving from "single connectivity" to comprehensive competition involving "connectivity + computing + ecosystem". According to data from IoT Analytics, the number of connected IoT devices worldwide reached approximately 21.1 billion in 2025 and is projected to reach approximately 39 billion by 2030. This increase in the number of devices is only the first layer of change; more importantly, an increasing number of IoT devices are beginning to possess AI algorithms, NPUs, local inference, voice interaction, and edge computing capabilities . This means that the amount of data generated and processed by terminal devices is constantly increasing, which places higher demands on wireless modules— not only to "transmit faster", but also to "calculate closer and connect more stably" . VI. Conclusion While everyone is chasing the "brain" of computing power, even the most powerful brain needs a sensitive "neural network" to perceive the world and transmit instructions. Wireless modules are an indispensable neural network in this AI era. As CCTV Finance reported, the underlying reason for this round of growth is not just passive price increases due to "shortage," but also proactive choices driven by "ease of use." Domestically produced chips have crossed a critical point in terms of performance and stability, moving from "usable" to "easily usable." The same logic is unfolding in the wireless module industry— modules are moving from "connectivity" to "good connectivity," and from "connectivity" to "connectivity + intelligence . "  

From August 26th to 28th, 2026, the 25th IOTE International Internet of Things Exhibition was grandly held at the Shenzhen World Exhibition & Convention Center (Bao'an New Hall) . With a massive exhibition area of 80,000 square meters, this year's exhibition brought together over 1,000 high-quality exhibitors from around the world, attracting 48,109 industry professionals and over 3,000 overseas visitors on the first day . The exhibition, themed "Edge Intelligence, Scenario Deepening, and Green Sustainability," was a major collaboration between AGIC 2026 Shenzhen International General Artificial Intelligence Industry Expo and GERX Global Embossed Intelligent Robot Industry Expo, achieving deep integration of IoT technology with general AI and robot intelligence .   The strongest signal released by this exhibition is that edge AI and wireless connectivity are moving from "evolving independently" to "deeply coupled". Hall 12 showcases top achievements such as AI chips, edge computing, and embodied intelligent robots , while Hall 10 focuses on industrial IoT and communication modules . The coordinated layout of the two halls itself constitutes a spatial interpretation of the "AI + connectivity" industrial logic. I. Industry Logic: Why "Connectivity" Must Embrace "Computing" The integration of edge AI and wireless modules is essentially a technological evolution driven by industry demands. The centralized model, which relies solely on cloud computing power, is encountering multiple bottlenecks: industrial control scenarios require millisecond-level response times, which cloud round-trip latency cannot meet; medical and security scenarios are highly sensitive to data privacy, and uploading data to the cloud poses compliance risks; and the continuous uploading of data by massive IoT devices is driving up bandwidth and cloud computing costs. The standard architecture for AI implementation is becoming one where the terminal handles perception, the edge handles inference, and the cloud handles training and coordination—each with its own specific role. This trend is clearly supported by data. According to a report released by IIM Information, the global wireless module market is expected to reach $48.62 billion in 2026, a 17.8% increase from $41.27 billion in 2025. Among these developments, the integration rate of AI-dedicated acceleration chips in modules continues to climb , and shipments of emerging AI edge inference modules (integrated NPU) exceeded 12 million units in the second quarter of 2026 , marking a shift in modules from simple transmission units to computing power nodes. Meanwhile, Wi-Fi 7 modules support 320MHz bandwidth and 4096-QAM modulation, and are expected to see significant adoption in routers, VR/AR devices, and other applications in 2026 . Wireless modules are evolving from "data transmission pipelines" to "intelligent connectivity bases" with local intelligent processing capabilities. The competitive logic of next-generation wireless communication modules is undergoing profound changes: from single Wi-Fi connectivity to Wi-Fi + Bluetooth + multi-protocol collaboration; from simply transmitting data to the integration of connectivity, sensing, and edge intelligence . II. IOTE 2026 Exhibition Confirms: Integration Has Become an Industry Consensus At IOTE 2026, leading global wireless connectivity companies clearly outlined the industry landscape of this trend through their respective product portfolios. From chip manufacturers to module solution providers, the core positions of their booths were generally occupied by edge AI-related solutions—whether it was a wireless SoC integrating AI/ML hardware accelerators or a main control platform for embodied intelligence and generative AI terminals, the strategic focus of leading players in the industry has clearly shifted towards dual-core capabilities of "communication + computing". Among the numerous innovative product awards presented concurrently with the exhibition, edge AI computing modules and high-performance AI chips occupied prominent positions. Several exhibitors showcased edge AI demonstration solutions supporting features such as local keyword wake-up and real-time face and gesture recognition. Meanwhile, the exhibition of supporting technologies such as high-precision wireless sensing and multi-protocol fusion further enriched the capabilities of wireless connectivity in AI scenarios. The exhibition clearly demonstrates that competition in the wireless connectivity field has evolved from a simple contest of "communication performance" to a comprehensive competition of "communication + computing" capabilities . Simply providing high-speed, stable data transmission channels is no longer sufficient to create a differentiated advantage. The ability to provide computing power support and intelligent collaboration for edge AI applications on top of connectivity capabilities is becoming a new benchmark for measuring the technological strength of module manufacturers. III. Application Scenarios: Where to Deploy Edge AI + Wireless Modules The integration of edge AI and wireless modules is being rapidly implemented in multiple vertical scenarios.   Industrial manufacturing is one of the most mature scenarios for the integration of edge AI and wireless modules. Hall 10 of the exhibition focuses specifically on industrial IoT and embedded solutions, connecting three major technology tracks: intelligent sensing, IoT communication, and precise positioning . In intelligent manufacturing scenarios, AGV/AMR autonomous transport vehicles, industrial sensors, and monitoring systems have rigid requirements for low-latency wireless connectivity and local AI inference capabilities. Wireless modules need to provide stable connectivity in high-interference industrial environments, while providing a communication foundation for AI applications such as visual inspection and predictive maintenance on the equipment side. Smart homes and smart buildings are another important scenario. In the smart home scenario, local AI processing means that voice commands can be responded to without being uploaded to the cloud, which reduces latency and protects user privacy—this is the core value of edge AI. Smart retail and smart cities also benefit from this trend. The exhibition comprehensively covered more than 20 core application scenarios, including smart logistics and smart consumption . In the smart retail scenario, AI POS terminals, smart vending machines, and other devices need to complete inference tasks such as image recognition and behavior analysis locally, while relying on wireless modules to achieve data synchronization and remote management with the cloud. Drones and robots represent emerging high-growth sectors. Drone solutions integrate Wi-Fi modules, 5G communication, and edge AI computing capabilities, supporting applications such as long-distance image transmission, remote control, real-time image recognition, and intelligent monitoring. With the rapid development of embodied intelligent robots, the demand for high-bandwidth, low-latency wireless connectivity and local AI inference capabilities will continue to surge. IV. Qogrisys's Solution Layout: A "Smart Connection Dock" with Wi-Fi 7 + Bluetooth 6.0 In light of this industry trend, the layout of QOGRISYS Technology Co., Ltd., headquartered in Shenzhen, is highly representative. Founded in 2014, Qogrisys Technology focuses on the communication connectivity industry, committed to providing customers with comprehensive IoT connectivity solutions. The company partners upstream with chip manufacturers such as Qualcomm, Realtek, Woogi, and HiSilicon, and downstream with end customers in smart home, industrial IoT, and automotive electronics sectors. Its main products cover 2.4G/5.8G Wi-Fi modules, BLE modules, PLC modules , RF antenna components, and smart hardware solutions. Core Product: O2072PM Wi-Fi 7 + Bluetooth 6.0 Combination Module Qogrisys has launched two Wi-Fi 7 + Bluetooth 6.0 combo modules, the O2072PM and O2072PB , based on the Qualcomm FastConnect C7700 (chip code QCC2072) chip . The QCC2072 is designed to provide ultra-high-speed connectivity, with peak speeds up to 5.8Gbps, and features a 320MHz channel, 4K QAM, and Multi-Link Operation (MLO) capabilities . The O2072PM uses an M.2 Key E standard interface (22×30mm) , fully supporting 4K QAM, 320MHz channels, and MLO (Multi-Link Operation), with a peak rate of 5.8Gbps . The Wi-Fi portion complies with IEEE 802.11a/b/g/n/ ac /ax/be standards, supporting tri-band 2.4 GHz/5 GHz/6 GHz, with each band supporting up to 4096 QAM modulation . The Bluetooth portion is compatible with Bluetooth 6.0, supporting dual-mode Bluetooth, Tx beamforming, MRC, LE Audio, and 2 Mbps Bluetooth Low Energy (BLE) . Of particular note is that the O2072PM also supports high-precision distance measurement (HADM/channel detection) , providing new technological possibilities for scenarios such as indoor positioning and asset tracking. The O2072PM is clearly designed to meet the "connectivity foundation" requirement in edge AI scenarios—providing stable, high-bandwidth, and low-latency wireless connectivity for high-performance edge platforms. With the continuous improvement of edge AI computing power, the low latency and high reliability of Wi-Fi 7 are becoming the core communication foundation for edge computing. The higher speed and lower latency offered by Wi-Fi 7 enable the module to achieve a better product experience across a wider range of devices . Domestic platform adaptation capabilities Qogrisys's foray into the Wi-Fi 6 field is also noteworthy. Its O9201 SB/ O9 1 01 SA/ O9201PM series modules have completed driver adaptation and verification on domestic platforms such as RK3588, Allwinner, and Rockchip, and can be widely used in industrial tablets, edge computing gateways, industrial control equipment, and other scenarios. This demonstrates Qogrisys's deep technical accumulation in adapting to domestic platforms and wireless connectivity. In terms of product portfolio, Qogrisys is building a complete wireless connectivity solution covering Wi-Fi 4/5/6/7 and BLE, following the path of "using a full hardware platform as the foundation and vertical scenarios as the direction" . V. Outlook: The Era of "Intelligent Connectivity" in the Module Industry Looking ahead to 2026-2030, the industry will enter the era of "intelligent connectivity." Edge AI modules have become a new growth engine for the wireless module industry. According to an IIM report, the global wireless module market is projected to exceed $90 billion by 2030, with edge AI and satellite direct connection modules expected to grow at a compound annual growth rate of over 30%. The deep integration of edge AI and wireless modules is not an optional "icing on the cake," but an inevitable path for industry development . For wireless module manufacturers, their ability to synergize with edge AI platforms beyond mere connectivity, and to provide a highly reliable communication foundation for edge AI applications, will determine their position in the next stage of competition. The IOTE 2026 exhibition showcases a true picture of this ongoing transformation—from "connecting everything" to "intelligently connecting everything." Qogrisys Technology, with Shenzhen as its origin, Wi-Fi 7 + Bluetooth 6.0 as its connectivity platform, and full-scenario coverage as its goal, is contributing its strength to this transformation.  

Smart connected vehicles are emerging as one of the most确定性 growth trajectories in the global technology industry.   China's intelligent connected vehicle production is projected to reach 14.064 million units in 2026, with market penetration expanding to 38.40%. From 4.6915 million units in 2021 to 14.064 million units in 2026, this figure has nearly tripled in just five years, representing a compound annual growth rate of 24.8%. Revenue from in-vehicle intelligent connected solutions is expected to reach 236.5 billion yuan. iiMedia Research data shows that China's intelligent connected vehicle application service market has already reached 222.3 billion yuan in 2025. On a global scale, the growth trajectory is equally steep. Research and Markets data indicates that the global connected vehicle technology market will grow from $45.99 billion in 2025 to $51.86 billion in 2026, reaching $84.54 billion by 2030 at a CAGR of 13%**. The broader connected cars market is forecast to expand from $105.67 billion in 2025 to $121.23 billion in 2026, and further to **$214.42 billion by 2030 at a CAGR of 15.3%. According to TechNavio, the global connected car market is forecast to grow by $161.69 billion during 2025-2030, accelerating at a CAGR of 17.2%. Communication and navigation terminals are transitioning from vehicle "options" to "standard equipment" —this is not incremental improvement but a structural reconfiguration of the industry's underlying logic. The connectivity demands of intelligent connected vehicles are extending in two directions: inside the vehicle, intelligent cockpits require high-bandwidth, low-latency wireless connectivity; outside the vehicle, charging infrastructure demands intelligent communication via power line carrier technology. Ofeixin Technology delivers a full-stack connectivity solution covering both the "vehicle side" and the "energy side" of intelligent connected vehicles, with Wi-Fi 7 + Bluetooth 6.0 in-vehicle wireless solutions and PLC charging pile communication solutions. I. The Bandwidth Revolution in Intelligent Cockpits: Wi-Fi 7 Ushers in a New Era of In-Vehicle Connectivity Wi-Fi 7, as the next-generation standard following Wi-Fi 6, is becoming the core infrastructure for wireless connectivity in intelligent cockpits. In January 2026, the Wi-Fi Alliance officially opened Wi-Fi 7 certification. From certification opening to module mass production delivery, the pace of commercialization for this technological iteration has far exceeded market expectations. Automotive-grade Wi-Fi 7 modules completed AEC-Q104 qualification and entered small-batch trial production in Q4 2025, with theoretical peak data rates 4.8 times higher than Wi-Fi 6, significantly supporting high-bandwidth scenarios such as high-definition map streaming updates and in-vehicle AR navigation. Industry players have already demonstrated clear commercialization signals—LG Innotek has secured orders from a leading European automotive parts supplier to begin shipping automotive-grade Wi-Fi 7 and Bluetooth wireless communication modules in 2027, with the order valued at approximately $68 million. The global automotive Wi-Fi/Bluetooth module market is projected to reach $4.28 billion in 2026, surpassing $6.83 billion by 2030. Wi-Fi modules have become a core procurement category in the intelligent cockpit domain, accounting for 76% of Wi-Fi module procurement demand. Single-chip solution shipments accounted for 42.5% of total volume in 2025 and are expected to exceed 50% in 2026. Chinese domestic OEM procurement demand for dual-band concurrent modules grew 23% year-over-year in 2025, making China the fastest-growing single market globally. In the Wi-Fi 7 automotive module space, Ofeixin Technology has completed a flagship product lineup. The O2072PM (PCIe M.2 interface) and O2072PB (SMD version) are automotive-grade Wi-Fi 7 modules designed based on Qualcomm's QCC2072 (FastConnect C7700) chipset. Both modules comply with IEEE 802.11a/b/g/n/ac/ax/be standards, support tri-band 2.4 GHz/5 GHz/6 GHz concurrent operation, with 6 GHz band channel bandwidth up to 320 MHz, and peak data rates reaching 5.8 Gbps. Both modules support Enhanced Multi-Link Single Radio (eMLSR) and 2×2 Multi-User Multiple-Input Multiple-Output (MU-MIMO), enabling flexible frequency resource scheduling in scenarios with multiple in-vehicle concurrent connections and complex signal interference. The O2072PM and O2072PB are among the few module products on the market that simultaneously support Wi-Fi 7 and Bluetooth 6.0, with the Bluetooth section directly supporting Bluetooth 6.0 and Channel Sounding functionality—providing a complete technology foundation for high-precision positioning scenarios such as digital car keys. II. From "Connectivity" to "Perception": Bluetooth 6.0 Redefines Human-Vehicle Interaction Bluetooth technology is undergoing an upgrade from a "connectivity tool" to a "perception infrastructure." Bluetooth 6.0's introduction of Channel Sounding technology brings centimeter-level high-precision distance measurement capability to Bluetooth. Channel Sounding combines RTT (Round-Trip Time) and phase-based ranging to achieve high-precision distance measurement, representing a qualitative leap from the meter-level error of traditional BLE solutions that relied on RSSI (Received Signal Strength Indicator). Bluetooth Channel Sounding technology achieves accuracy within 0.5 meters with relay attack protection, and will be the first to be deployed in automotive digital car keys in 2026. Industry solutions have already matured. Quectel released its next-generation automotive digital key solution in April 2026, featuring BLE 6.0 + UWB + NFC tri-mode fusion technology. Yuanfeng Technology also announced it will be the industry's first to launch a multi-node Bluetooth 6.0 Channel Sounding technology solution in the second half of 2026. Industry data shows that over 13.2 million vehicles were equipped with digital key functionality as standard in 2025. Bluetooth device annual shipments are projected to reach 5.9 billion units in 2026, with the 2030 annual shipment forecast reaching 8.1 billion units. The Bluetooth 6.0 market was valued at $5.42 billion in 2025 and is expected to grow to $17.47 billion by 2035. According to DIGITIMES, Bluetooth Channel Sounding, leveraging its established ecosystem advantages, is penetrating the precision ranging market, with large-scale adoption by application vendors expected to commence from the second half of 2026 through 2027. The O2072PM and O2072PB modules from Ofeixin Technology, with their integrated Bluetooth 6.0 functionality, offer distinct advantages in digital car keys, in-vehicle personnel positioning, and other scenarios. Both modules support High Accuracy Distance Measurement (HADM), LE Audio, 2 Mbps Bluetooth Low Energy, and other complete Bluetooth features. Bluetooth shares an antenna with 2.4 GHz WLAN while operating concurrently with 5 GHz/6 GHz WLAN, providing flexible configuration options for in-vehicle multi-protocol concurrency. Wi-Fi/Bluetooth combo module shipments reached 71% in 2026 and are expected to exceed 85% by 2030. Ofeixin's O2072PM/O2072PB solution is a representative example of this trend—delivering high-speed Wi-Fi connectivity and precise Bluetooth perception simultaneously on a single module, providing intelligent cockpits with an integrated "one network, multiple capabilities" solution. III. The "Invisible Communication Network" of Charging Infrastructure: PLC's Mandatory Upgrade Window In the industrial landscape of intelligent connected vehicles, charging infrastructure is an indispensable component. And PLC (Power Line Communication) technology is emerging as the core solution for electric vehicle charging pile communication. EU regulations are mandating a comprehensive upgrade of charging pile communication methods. Under EU Delegated Regulation (EU) 2025/656, which sets a mandatory compliance deadline of 2027, developing next-generation smart AC charging piles that comply with EN ISO 15118-20:2022 has become the only path for products to enter the European market. This means the traditional PWM communication method will be phased out, with a complete transition to high-layer communication based on GreenPHY Power Line Communication (PLC), with mandatory integration of Plug & Charge (PnC) and Vehicle-to-Grid (V2G) capabilities. The global Power Line Communication (PLC) market is projected to grow from $12.74 billion in 2025 to $14.29 billion in 2026 at a CAGR of 12.1%. By 2030, the market is expected to reach $22.66 billion. Among the key growth drivers are the expansion of electric vehicle charging networks. As electrification, distributed energy resources, electric vehicle charging, and smart city programs expand, PLC is becoming an important layer in the broader industrial IoT and smart grid communications ecosystem. PLC communication requires no additional communication wiring—it transmits data while transmitting power. This "two-in-one" characteristic gives PLC a natural advantage in charging pile scenarios: no need for rewiring, directly utilizing existing power lines to complete two-way data exchange between vehicle and charging pile, and between charging pile and the cloud. Effective from January 8, 2026, all newly installed or significantly upgraded publicly accessible AC charging piles must support EN ISO 15118-2:2016. This means PLC communication capability is transitioning from a "nice-to-have" to a "must-have." Ofeixin Technology offers a complete PLC module product portfolio. The S130N-ISI is a fully integrated Power Line Communication module, designed based on the LianXinTong VC6330 chip, integrating a 32-bit ARM Cortex M3 MCU, 32-bit DSP, embedded Flash, 1MB SRAM, and rich communication interfaces. The module adopts LCC packaging with ultra-compact dimensions, integrating line drivers on-chip with low power consumption and strong anti-noise capability. In charging piles, photovoltaic communications, and other scenarios, Ofeixin's S130N-ISI module enables reliable device communication through existing power lines—one power line, simultaneously delivering power and data. With the mandatory implementation of EU regulations and the continued expansion of global electric vehicle charging infrastructure, market demand for PLC modules in charging pile scenarios is poised for explosive growth. IV. From Cockpit to Infrastructure: The Connectivity Foundation of Intelligent Connected Vehicles Intelligent connected vehicles and the Internet of Vehicles are racing ahead at a compound annual growth rate exceeding 30%. In this process, in-vehicle wireless communication modules have transitioned from "behind-the-scenes配角" to "core hub." On the intelligent cockpit side, they are the transmission channels for multi-screen interaction, the positioning foundation for digital car keys enabling keyless entry, and the connectivity safeguard for OTA upgrades ensuring continuous vehicle evolution. On the charging infrastructure side, they are the communication cornerstone enabling intelligent functions such as Plug & Charge and V2G bidirectional charging. Ofeixin Technology's in-vehicle connectivity solutions present a clear "dual-track" architecture: On the intelligent cockpit and digital key front, the O2072PM and O2072PB deliver Wi-Fi 7 + Bluetooth 6.0 combination, covering differentiated requirements from high-end intelligent cockpits to next-generation digital car keys. The 5.8 Gbps peak data rate supports the high-bandwidth demands of multi-screen HD video streaming and in-vehicle AR navigation; Bluetooth 6.0 Channel Sounding provides centimeter-level precise positioning foundation for digital car keys. The interface format differences between the two modules—PCIe M.2 versus SMD package—offer flexible selection options for different in-vehicle hardware architectures. On the charging infrastructure front, the S130N-ISI and other PLC module products are addressing the mandatory upgrade requirements brought by new EU regulations, providing GreenPHY PLC communication capability compliant with ISO 15118-20 standards for charging piles. With upstream partnerships with Qualcomm and other leading chip original equipment manufacturers, Ofeixin Technology rapidly transforms the latest chip platforms into mass-producible module products. From Wi-Fi 7 + Bluetooth 6.0 in-vehicle wireless solutions to charging pile PLC communication solutions, the full-stack coverage enables Ofeixin to deliver complete wireless module solutions for intelligent connected vehicles—from in-vehicle connectivity to infrastructure communication. This represents both the completeness of the product portfolio and the flexibility to address different scenarios and requirements. Looking ahead to 2027-2030, composite communication modules integrating 5G cellular are gradually penetrating mid-to-low-end vehicle segments, while software-defined vehicle architectures demand higher programmability and security isolation capabilities from modules. The rigid demand of intelligent cockpits and autonomous driving for high-speed, reliable data links, combined with the mandatory upgrade window created by EU charging pile regulations, will together ensure the long-term positive fundamentals of both the in-vehicle wireless communication and charging infrastructure communication module markets.