Innodisk has unveiled a new edge AI strategy and brand positioning, targeting two high-potential markets and three core value propositions. Chairman Chuan-Sheng Chien highlighted that the group has completed over 1,000 edge AI projects in recent years and expects exponential growth in edge AI adoption, aiming to increase related AI revenue share from just over 20% in 2025 to 30% by 2026.
Chien outlined two main directions for edge AI development.
Industry AI focuses on vertical applications such as smart factories, transportation, mining, agriculture, and fisheries. It aims to enhance production capacity through intelligent upgrades, emphasizing real-time recognition, instant AI services, and remote anomaly monitoring.
Most of Innodisk's recent AI projects have centered on Industry AI, leveraging the group's camera modules and key optical hardware-software solutions. The company expects its smart peripheral business to grow multiple times over the next three years.
Enterprise AI targets data centers, enterprise-grade on-premise AI, large language models (LLM), and vision-language models (VLM) for medium to large enterprises.
This includes sectors like internal corporate systems, finance, healthcare, and government agencies adopting generative AI and related applications such as smart assistants, business analytics, process automation, and decision support—mainly integrated with internal MIS frameworks.
With edge AI poised for exponential industry growth, Aetina general manager Joe Lo noted that the company has completed more than 1,000 AI projects. Emerging applications include 20-30 humanoid or semi-humanoid robots undergoing factory proof-of-concept testing, with 3-4 projects entering mass production. Additionally, several drone and smart manufacturing solutions are advancing simultaneously.
Innodisk emphasized that rapid AI development has shifted industry and enterprise focus from questioning whether to adopt AI to how to implement it faster and at scale. The technology architecture is evolving quickly from widely known cloud AI toward edge applications, creating new opportunities in both Industry AI and Enterprise AI markets.
Marking its 20th anniversary, Innodisk evolved from industrial PCs to the edge AI era. Chien stressed that successful edge AI deployment requires collaboration beyond any single company.
Therefore, Innodisk advances through an ecosystem alliance model, partnering with major international players including Intel, Nvidia, Qualcomm, and Axelera AI for AI architectures and accelerator technologies. By integrating software and hardware capabilities, they commercialize practical solutions. For market implementation, partners such as Kenmec and Data Systems join the effort.
Innodisk plans to focus on flexible integration, software-driven hardware replacement, and ecosystem synergy as its three core values, promoting modular and platform-based approaches to accelerate AI deployment.
Article translated by Charlene Chen and edited by Joseph Chen
