Global 3D Vision Sensor for Embodied Intelligent Robots Market Growth to US$1,847 Million by 2031 at 52.0% CAGR

According to the recent report from QYResearch, the market for 3D vision sensors used in embodied intelligent robots is entering a decisive adoption phase. Building on a 2024 baseline of US$102 million and projected to reach US$1,847 million by 2031 at a 52.0% CAGR (2025-2031), new AI-native sensors, long-range depth cameras, and deeper integrations with robotics ecosystems are accelerating deployment across logistics, automotive, and humanoid robotics.

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Leading Companies
Cognex
Basler
Keyence
Omron
Obi Zhongguang
Weijing Intelligent
Distant space and time

Application List
Base-Type Robot
Wheeled Robot
Tracked Robot
Quadruped Robot
Humanoid Robot
Bionic Robot

Classification List
Based on Multi-Eye Stereo Vision
Based on iToF

Latest Data Highlights
• Market scale: 2024 revenue US$102 million, forecast US$1,847 million by 2031, CAGR 52.0%.
• Technology mix: Structured light, iToF, dToF, stereo vision, LiDAR, industrial 3D metrology. Humanoid sensing relies mainly on multi-eye stereo and iToF.
• Applications: Base-type robots held the largest share in 2024; wheeled, quadruped, humanoid, and bionic robots are forecast to grow strongly.
• Regional outlook: North America, Europe, and Asia-Pacific dominate growth. China, Japan, and South Korea show strong expansion; Germany anchors European demand.

2024-2025 Company Developments
Cognex launched the In-Sight L38 3D in April 2024, embedding AI in its vision stack to simplify labeling and accelerate deployment for robotic inspection tasks.
Basler extended its blaze iToF line with VGA resolution, 850/940 nm options, and IP67 protection, targeting autonomous mobile robots and harsh factory environments.

Keyence advanced its LJ-X8000 series, offering high-resolution laser profiling with over 3,200 points per profile for precision inspection and robotic calibration.

Omron introduced the FH-SMD 3D Robot Vision System, capable of high-speed recognition of randomly positioned objects with detection times around 0.4 seconds.

Obi Zhongguang (Orbbec) delivered the Gemini 2 XL, a long-range stereo depth camera with a working range of 0.4-20 meters, optimized for humanoid and mobile robot navigation.

Additional market momentum in 2025 came from RealSense, which spun out with new PoE-enabled depth cameras for AMRs and humanoids, while NVIDIA's Jetson Thor platform positioned itself as a new standard for humanoid perception and control integration.

Representative Products
Cognex - In-Sight L38 3D Vision System
• Combines AI with 2D and 3D imaging.
• Generates projection images for easy labeling and training.
• Speeds deployment in robotic inspection and measurement applications.
Basler - blaze-101 iToF Camera
• Depth resolution of 640×480 pixels.
• Operates at 850/940 nm with XYZ point cloud output.
• IP67 housing for rugged robotic applications.
Keyence - LJ-X8000 Laser Profiler
• Provides 3,200 data points per profile.
• Captures high-resolution 2D and 3D measurements.
• Enables precision robotic calibration and inspection.
Omron - FH-SMD 3D Robot Vision
• Compact and lightweight system with 1296×972 effective pixels.
• Typical measurement volume of 400×300×200 mm.
• Achieves part detection in approximately 0.4 seconds.
Obi Zhongguang (Orbbec) - Gemini 2 XL Stereo Camera
• Working distance of 0.4-20 meters.
• Wide field of view and strong performance indoors and outdoors.
• Supports SDKs, ROS 2, and NVIDIA Isaac integration for robotics.

Verified Downstream Users
ABB Robotics
KUKA
FANUC
Yaskawa Electric
Universal Robots
Boston Dynamics
Agility Robotics
Figure AI
Unitree Robotics
Fourier Intelligence
Neura Robotics
ANYbotics
Apptronik
Sanctuary AI
Clearpath Robotics

Market Trends
Humanoid Robotics Accelerates Sensor Adoption
Automotive and logistics sectors are piloting humanoid robots in real production environments. BMW partnered with Figure AI to trial humanoids on assembly lines, while Agility Robotics' Digit entered logistics warehouses. These deployments demand both precise close-range sensing for manipulation and extended-range sensing for navigation, highlighting the need for hybrid 3D vision systems.

AI-Enhanced 3D Vision
Cognex's AI-enabled In-Sight L38 3D represents a shift from rules-based programming to embedded learning. This reduces setup time, enables robots to adapt to new parts or tasks quickly, and supports large-scale deployment in flexible production environments.

Long-Range Stereo and Rugged iToF
Stereo sensors are evolving toward longer ranges, as shown by Orbbec's Gemini 2 XL, which supports environments up to 20 meters. Basler's blaze cameras, with rugged IP67 design and dual-wavelength capability, address the reliability needs of autonomous mobile robots operating on production floors and warehouses.

Integration with ROS 2 and High-Performance Computing
Manufacturers now provide ready ROS 2 support and NVIDIA integration, cutting development time. The launch of Jetson Thor in 2025 signals a trend toward concentrated edge computing for humanoid platforms, enabling multi-sensor fusion, navigation, and manipulation on a single module.

Hardware Durability and Simplified Connectivity
The move from research to industrial deployment drives demand for robust designs. PoE-enabled devices like the RealSense D555 and IP67-protected sensors simplify cabling, reduce downtime, and ensure reliability in harsh environments.

Expanding Use Cases Beyond Bin-Picking
While fast bin-picking remains a key application, humanoid deployments are pushing 3D vision into more complex tasks, including tool handling, assembly support, and human-robot collaboration in shared workspaces. This trend requires versatile sensors capable of both macro navigation and micro-scale manipulation.

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Supplier Diversification
The RealSense spin-out in 2025 broadened the supply base, reducing reliance on a handful of incumbents. More players entering the field ensures greater competition, faster innovation cycles, and multi-source procurement strategies for robot OEMs.

Conclusion
The global 3D vision sensor market for embodied intelligent robots is scaling rapidly, driven by AI integration, ruggedized designs, and humanoid robot deployments. With revenues expected to grow nearly 18-fold by 2031, the ecosystem is transitioning from pilot-stage trials to scaled adoption across industries. The years 2024 and 2025 mark the inflection point where sensor technology matured to meet real-world robotic demands, setting the stage for exponential expansion.

Chapter Outline:

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: key insights, key emerging trends, etc.
Chapter 3: Manufacturers competitive analysis, detailed analysis of the product manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 5 & 6: Sales, revenue of the product in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: The main points and conclusions of the report.

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