The Market Reports

Synopsis

The global market for 3D Cameras for Autonomous Mobile Robots (AMR) was estimated to be worth US$ 237 million in 2024 and is forecast to a readjusted size of US$ 833 million by 2031 with a CAGR of 18.6% during the forecast period 2025-2031.

A 3D camera is an imaging device that enables the perception of depth in images to replicate three dimensions as experienced through human binocular vision. The addition of the third dimension enables a new level of safety that allows for autonomous and intelligent mobile robot navigation. 3D Cameras are the most critical sensors in Autonomous Mobile Robots with multiple imaging needs, for example, in AMR the 3D camera might be used for the detection of vision and also for recording purposes as well as multi-camera systems for complete surrounding awareness.

3D Cameras for Autonomous Mobile Robots (AMR) market is currently dominated by a few key players, with the top five companies—Intel, Basler AG, TKH Group, Cognex, and Sick—collectively holding over 75% of the market share. North America leads the market with a 40% share, driven by strong demand in logistics, manufacturing, and industrial automation. The dominance of a few players suggests a high level of technological expertise and barriers to entry, as companies invest heavily in research and development to improve camera accuracy, processing speed, and real-time object recognition capabilities. Meanwhile, intense competition has led to continuous innovation, particularly in sensor fusion technologies that enhance AMRs’ ability to navigate complex environments.

Among different 3D camera technologies, Stereo Vision currently holds the largest market share at approximately 50%. This dominance is attributed to the balance it offers between cost and performance, making it a preferred choice for warehouse logistics and other industrial applications. Stereo Vision cameras provide depth perception by mimicking human vision, making them highly effective in object detection and obstacle avoidance. However, structured light and time-of-flight (ToF) technologies are gaining traction due to their ability to provide higher accuracy in varying lighting conditions. As AMRs are deployed in increasingly complex environments, the demand for hybrid 3D camera solutions—combining multiple depth-sensing technologies—will likely grow to improve adaptability and efficiency.

Looking ahead, the market for 3D cameras in AMRs is expected to witness significant growth, fueled by advancements in AI, sensor technology, and edge computing. The increasing push for fully autonomous operations in industries such as retail, healthcare, and agriculture will create new opportunities for innovation in 3D imaging. Additionally, regulatory support for automation and robotics, particularly in regions like North America and Europe, will further accelerate adoption. As competition intensifies, companies will focus on miniaturization, cost reduction, and enhanced real-time processing to meet the evolving demands of AMR applications. Ultimately, the convergence of 3D vision, AI, and robotics will redefine the capabilities of autonomous mobile robots, driving efficiency, safety, and scalability across industries.

This report aims to provide a comprehensive presentation of the global market for 3D Cameras for Autonomous Mobile Robots (AMR), focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of 3D Cameras for Autonomous Mobile Robots (AMR) by region & country, by Type, and by Application.

The 3D Cameras for Autonomous Mobile Robots (AMR) market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding 3D Cameras for Autonomous Mobile Robots (AMR).

Market Segmentation

By Company

• Sick
• Intel
• Cognex
• TKH Group
• Basler AG
• e-con Systems
• Stereolabs
• Faro Technologies
• Hikvision

Segment by Type

• Stereo Vision
• Time of Flight
• Others

Segment by Application

• Manufacturing
• Warehouse Logistics
• Automobile
• Others

Segment by Region

• North America: United States, Canada, and Mexico
• Europe: United Kingdom, Germany, France, Spain, Italy, and Rest of Europe
• Asia Pacific: China, India, Japan, Australia, South Korea, and Rest of Asia Pacific
• Middle East & Africa: Saudi Arabia, South Africa, and Rest of MEA
• Latin America: Brazil, Argentina, and Rest of Latin America

*If you need a regional or country-specific version, or customized segmentation, we can tailor the report to your requirements.