Spatial Computing In Robotics Global Market Report 2025

The spatial computing in robotics market size is expected to see exponential growth in the next few years. It will grow to $31.65 billion in 2029 at a compound annual growth rate (CAGR) of 28.2%. The growth during the forecast period can be attributed to factors such as the increasing demand for digital transformation, the growing use of augmented reality and virtual reality in robotics, rising demand for real-time spatial data processing, the expansion of fifth-generation (5G) networks, and the rising need for remote operations. Key trends in the forecast period include the development of autonomous navigation, innovations in real-time mapping, advancements in indoor positioning systems, integration with cloud computing for data storage, and progress in robot localization technologies.

The rising demand for digital transformation is expected to significantly drive the growth of the spatial computing in robotics market. Digital transformation refers to the integration of digital technologies across all areas of business, fundamentally reshaping operations and enhancing value delivery to customers. This growing demand is primarily driven by the need for greater operational efficiency and automation, as businesses seek to streamline processes, reduce costs, and increase productivity through advanced technologies. Spatial computing in robotics accelerates digital transformation by enabling real-time 3D perception and autonomous decision-making, making operations smarter and more efficient. It improves productivity across various industries by automating complex tasks and enhancing human-robot collaboration. For example, in May 2023, the European Investment Bank, a Luxembourg-based financial institution, reported that 69% of European Union (EU) firms adopted advanced digital technologies in 2022, up from 61% in 2021. As a result, the growing demand for digital transformation is propelling the spatial computing in robotics market forward.

Leading companies in the spatial computing in robotics market are focusing on developing advanced products such as mixed reality (MR) headsets to enhance immersive interactions and improve robotic precision. MR headsets are wearable devices that blend real-world environments with computer-generated content, enabling users to interact simultaneously with both physical and digital elements in an immersive experience. For instance, in June 2023, Apple Inc., a US-based technology company, launched the Apple Vision Pro, a mixed-reality headset that seamlessly blends digital content with the physical world, heralding a new era of spatial computing. The Vision Pro offers intuitive control via eye, hand, and voice tracking, advanced spatial audio, and an intricate sensor array, creating an immersive spatial computing experience.

In January 2024, ABB Ltd., a Switzerland-based technology company, acquired Sevensense Robotics AG for an undisclosed amount. With this acquisition, ABB aims to enhance its autonomous mobile robots by integrating Sevensense's Visual SLAM (Simultaneous Localization and Mapping) technology, which bolsters spatial computing and navigation capabilities. Sevensense Robotics AG, a Switzerland-based robotics company, specializes in spatial computing for robotics, further strengthening ABB's position in the market.

Major players in the spatial computing in robotics market are Apple Inc., Google LLC, Microsoft Corporation, Hyundai Motor Group, Sony Group Corporation, Lenovo Group Limited, Midea Group, Qualcomm Technologies Inc., Nvidia Corporation, Rockwell Automation Inc., SICK AG, PTC Inc., Unity Software Inc., iRobot Corporation, ANYbotics AG, NavVis GmbH, Magic Leap Inc., RoboSense, XGrids Limited, Marxent Labs LLC, DAQRI.

North America was the largest region in the spatial computing in robotics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in spatial computing in robotics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the spatial computing in robotics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The spatial computing in robotics market consists of revenues earned by entities by providing services such as mapping and localization services, three-dimensional (3D) visualization and simulation, robot-assisted automation services and indoor navigation solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The spatial computing in robotics market also consists of sales of robotic perception systems, motion planning software, augmented reality systems, lidar sensors and inertial measurement units. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

Spatial computing in robotics involves using digital technologies that enable robots to understand, interpret, and interact with the physical environment in real-time. By combining sensors, artificial intelligence, and 3D mapping, this technology allows robots to perceive their surroundings, navigate accurately, recognize objects, and perform tasks with spatial awareness.

The main components of spatial computing in robotics include hardware, software, and services. Hardware refers to the physical components of a computer or electronic system, such as monitors, keyboards, hard drives, and motherboards, that can be seen and touched. Key technology types within this field include augmented reality (AR), virtual reality (VR), and mixed reality (MR). Spatial computing is applied to various robotic systems, including space exploration robots, industrial robots, service robots, collaborative robots, and autonomous mobile robots. It serves a broad spectrum of industries, including aerospace and defense, manufacturing, healthcare, retail and e-commerce, education and training, automotive, and information technology and telecommunications.

The spatial computing in robotics market research report is one of a series of new reports that provides spatial computing in robotics market statistics, including the spatial computing in robotics industry's global market size, regional shares, competitors with the spatial computing in robotics market share, detailed spatial computing in robotics market segments, market trends and opportunities, and any further data you may need to thrive in the spatial computing in robotics industry. This spatial computing in robotics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The spatial computing in robotics market size has grown exponentially in recent years. It will grow from $9.14 billion in 2024 to $11.73 billion in 2025 at a compound annual growth rate (CAGR) of 28.3%. The growth during the historic period can be attributed to several factors, including the rising demand for automation, the increasing use of drones, the growing application of robotics in manufacturing, heightened interest in autonomous vehicles, and a surge in investments in artificial intelligence and robotics.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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