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eInfochips Recognized as a Pioneer in Physical AI Services

In July 2026, eInfochips, a subsidiary of Arrow Electronics, proudly announced its inclusion as a recognized leader in Gartner's Emerging Market Quadrant for Physical AI Services. This recognition highlights the company's commitment to innovation and excellence in the rapidly evolving field of artificial intelligence, specifically in real-world applications.

Gartner's Emerging Market Quadrant serves as a vital resource for clients seeking to navigate the complexities of emerging technologies. Its purpose is to equip decision-makers with insights into the dynamics of new market capabilities and to assist in forming comprehensive lists of potential technology providers. As such, eInfochips has established its presence in this quadrant by demonstrating extensive capabilities in the development and implementation of physical AI services.

Understanding Physical AI Services

Physical AI services encompass a broad range of applications, from the conceptual design phase to the actual deployment and ongoing operation of AI-enabled physical systems. These services are integral to various deployments, including mobile robots and autonomous vehicles operating in real-world environments. Recognizing this emerging sector's significance, eInfochips has infused its three decades of engineering expertise into developing cutting-edge solutions that address the complex requirements posed by physical AI.

Murdoch Fitzgerald, the Chief Growth Officer of Global Services at Arrow Electronics, shared, "We are humbled by this recognition. Physical AI represents the intersection of silicon-level engineering decisions and real-world operational outcomes, which is precisely where eInfochips has built its robust capabilities."

The company's proficiency spans the entire lifecycle of physical AI projects. This includes aspects such as hardware design, sensor integration, edge AI model deployment, MLOps, and comprehensive fleet management solutions. This holistic approach has positioned eInfochips as a trusted partner for numerous industries, ranging from healthcare to industrial applications, mobility, and high-tech sectors.

A Track Record of Success

eInfochips has successfully delivered an array of physical AI solutions that cater to diverse verticals. Its clientele includes Fortune 500 companies and specialist technology firms that rely on the company's proven ability to tackle complex engineering challenges. The company prides itself on having engineered over 750 products, with more than 100 million deployments occurring globally.

The successful delivery of innovative solutions and high-quality services has earned eInfochips recognition from esteemed firms, including Avasant, Everest, HfS Research, Zinnov, and ISG. These acknowledgments resonate well with the company's long-standing commitment to pushing the boundaries of engineering research and development (ERD).

With its advanced capabilities in areas such as silicon, embedded systems, digital technology, AI, IoT, robotics, and cybersecurity, eInfochips offers a robust suite of ERD services that advance product innovation from concept to deployment seamlessly.

Looking Ahead

As the market for physical AI continues to expand, eInfochips remains dedicated to advancing its technological offerings and adapting to the evolving demands of the industry. The recent acknowledgment by Gartner not only reinforces the company's role as a leader in physical AI services but also motivates it to continue creating innovative solutions that enhance efficiency and streamline operations for clients worldwide.

For more detailed information about eInfochips' physical AI capabilities, visit their official website for further insights into their offerings and achievements.


Gartner, a key player in the tech research field, does not endorse any specific vendor but instead provides a comprehensive overview of the marketplace, reflecting their opinions rather than definitive statements of fact. Overall, eInfochips is set to enrich the global landscape for AI applications rooted in practical engineering solutions.