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The rapid rise of GenAI is driving an explosive surge in global demand for computing power and data-center construction. Optical networks have become essential to enabling the high-bandwidth, low-latency transmission required in this new era. Governments and industry leaders worldwide are accelerating the development of AI infrastructure and optical-interconnect standards to advance computing performance, energy efficiency, and security in tandem.
As co-packaged optics (CPO) and cloud-network convergence mature, the industry is entering a new phase of high-performance, energy-efficient, and cross-domain interconnected systems.
Current progress in humanoid robotics is centered on optimizing vision-language-action (VLA) models, integrating multimodal data, and enhancing instruction comprehension as well as the ability to interpret human intent. Training relies heavily on world models, human video data, and VR-based remote training, with increasing emphasis on first-person perspectives to strengthen perception. While the ultimate goal is to achieve general-purpose humanoids, development remains constrained by significant challenges, leading Western and Chinese companies to pursue divergent technological pathways.
In its endeavor to bolster its global leadership, the United States is actively promoting the reorganization of supply chains and the repatriation of manufacturing through the implementation of reciprocal tariffs and a significant increase in strategic investments. This report provides a comprehensive examination of the U.S. smart manufacturing landscape, with specific attention to the semiconductor, automotive, and fast-moving consumer goods (FMCG) sectors. It delves into the strategic postures of key companies and their deployments in hardware (e.g., chips and sensors), software, and integrated systems.
This report examines the development trends of optical networks under the dual drivers of high-speed communications and AI applications, covering technology evolution, application scenarios, and shifts in the global industry chain.
5G expansion drives supply chain growth, with Asia-Pacific leading globally. 6G research focuses on AI and energy efficiency. Future mobile networks will evolve towards greater intelligence and efficiency.
Following the release of Wi-Fi 7 certification by the Wi-Fi Alliance, telecom equipment providers around the world have accelerated the introduction of Wi-Fi 7 routers, access points (APs), and other equipment. They are also actively deploying Wi-Fi in commercial scenarios such as hospitals, offices, and large exhibition halls, thereby increasing the willingness to upgrade equipment among high-end household users and large enterprises.
As the global market expands its investment in AI computing and the development of related applications, humanoid robots are expected to become the largest AI application by market size. The introduction of torque and inertia sensing technology by manufacturers is critical for humanoid robots to walk flexibly and mimic human behavior in various scenarios. These two sensor systems need to work perfectly in sync, driving robots from simple programmed actions towards more natural human behavior. Humanoid robots need to operate in complex and variable environments and possess reaction speeds similar to humans. Their sensing systems must accurately perceive and respond to their surroundings. Currently, several robot manufacturers are specializing in improving their walking performance.
As major countries like the US and EU accelerate the development of CubeSats, global satellite startups are prompted to deploy applications related to environmental and defense monitoring, as well as the Internet of Things (IoT). In response, Taiwan is also actively launching CubeSats under policy initiatives to perform various field validations.
TrendForce indicates that the updated US export controls announced on January 15th, 2025, will impact CXMT's process technology, wafer input, yield rates, and market deployment. US equipment suppliers have begun withdrawing personnel from CXMT's fabs since mid-February, affecting its 2025-2026 development plans. The new regulations cover all of CXMT's process nodes, impacting not only its G4 and G4B processes but also the already mass-produced G3 process. This will lead to a downward revision of CXMT's bit output and affect its position in the server DRAM and mobile DRAM markets. In the long term, CXMT's development in the LPDDR5X and DDR5 markets will be hindered.
DeepSeek’s rapid rise not only highlights the role of algorithm optimization in balancing model performance and hardware efficiency but also signals a shift in AI development toward inference-driven applications. AI agents are expected to become the primary form of such applications, gradually evolving into systematic Agentic AI, enabling greater automation and goal-oriented task execution.
