Semiconductor Market for Robots to Reach $41.24 Billion by 2030

Sep 8, 2025
The semiconductor market for robots is projected to grow significantly, reaching $41.24 billion by 2030, according to a report by MarketsandMarkets. This growth is driven by new applications in sectors like healthcare and logistics.

The semiconductor market for robots is expected to expand from $11.23 billion in 2025 to $41.24 billion by 2030, with a compound annual growth rate (CAGR) of 29.7%, announced in a press release by MarketsandMarkets. This growth is attributed to the increasing demand for specialized semiconductor solutions in various sectors such as healthcare, logistics, agriculture, and consumer electronics.

The development of modular robotic platforms requiring advanced integrated circuits (ICs), system-on-chips (SoCs), and AI accelerators is driving the need for adaptable and scalable semiconductor components. These components are essential for tasks like precision surgery, autonomous navigation, and automated farming.

Connectivity ICs, which enable communication between robots and external networks, are projected to see significant growth. These ICs support protocols like Wi-Fi, Bluetooth, and 5G, facilitating real-time data exchange and cloud integration. As robots become more prevalent in smart factories and healthcare facilities, the demand for reliable communication solutions is expected to rise.

North America holds a significant share of the semiconductor market for robots, supported by a robust robotics ecosystem. The region's demand for advanced chips is fueled by the adoption of automation in sectors such as warehousing and healthcare, highlighting the critical role of semiconductors in powering AI processing and real-time decision-making in robotics.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief, Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.