Spatial Computing Companies Shaping Enterprise XR

If you searched for spatial computing companies, you probably want to know who the players are and how to tell them apart.

The label is slippery, because it covers headset makers, chip and AI companies, streaming and orchestration providers, and application builders. The term spread after Apple called the Vision Pro a spatial computer,¹ and it is now common across the industry.² Each type of company shapes enterprise XR in a different way.

This guide maps the landscape by what companies actually do, so you can place each vendor in the right layer. That makes it easier to shortlist the right kind of partner. If you first need the underlying definition, our guide Spatial Computing, Explained covers it.

What you will learn:

• ■  Device makers: headsets and smart glasses
• ■  Compute and AI: where the rendering happens
• ■  Streaming and orchestration: the connective layer
• ■  Application and content companies
• ■  How to choose the right spatial computing partner

No single company covers all of it. A working deployment usually pulls together several, because spatial computing is a stack of layers rather than one product. The table below shows those layers, from the device in your hands to the software your teams open.

The spatial computing landscape at a glance

Device Makers: Headsets and Smart Glasses

These companies build the hardware people wear, and the category moves quickly. Apple's Vision Pro brought the spatial computer idea to a wide audience, and many teams own one today. Snap, Meta and PICO keep pushing headsets and smart glasses forward, and a broader wave of smart glasses is on the way.

Those lighter devices carry less onboard compute, which makes streaming the practical way to run heavy models on them. Hololight's work with Snap shows that the streaming infrastructure built for full headsets carries over to lightweight glasses without changes.³

For enterprises, one point matters most: the headset should only be the display. If your workflow is tied to a single device or generation, every hardware refresh turns into a migration. A device-agnostic approach avoids that. Hololight's XR pixel streaming technology supports devices from makers like Apple, Meta, Snap, and PICO, so one workflow runs on every supported headset.

What to check when evaluating device makers:

• ■  Does the headset fit the task and the environment your team works in?
• ■  Are the field of view and comfort right for long sessions?
• ■  Are the devices supported by your infrastructure and application layers?
• ■  Can you switch devices later without rebuilding your workflow?

For a closer look at the current device market, see our guide to AR headsets in 2026.

Why the Device Layer Settled on OpenXR

The device layer used to be a fragmentation problem. Every platform had its own proprietary interface, so an application written for one headset would not run on another without a rewrite. The major makers solved this by converging on OpenXR, a royalty-free open standard that lets one application run on any conformant device.

Before and after OpenXR

OpenXR is governed by the Khronos Group, a non-profit consortium whose members steer the standard by consensus.⁴ Hololight is a member of the Khronos Group, contributing to how XR streaming works within the standard. Hololight's XR pixel streaming technology is designed to be conformant with OpenXR. The technology is based on a published Khronos Specification and is expected to pass the Khronos Conformance Process.

For the full picture, see our guides to what OpenXR is and OpenXR versus OpenVR.

Compute and AI: Where the Rendering Happens

High-fidelity 3D has to be rendered somewhere, and that is the job of the compute layer. The companies here supply the processing power, from workstation GPUs to cloud deployment. The best move is not buying a faster headset. It is running the rendering on infrastructure you control and sending only the result to the device.

NVIDIA is the best-known name in this layer, and it is where Hololight works most closely. Hololight's XR pixel streaming technology makes full use of your NVIDIA RTX hardware.⁵ Rendering runs on the server, and the headset only displays the result. Together, that combination runs full-fidelity models at enterprise scale.

The same infrastructure increasingly runs AI as well, and the two are converging fast. As real-time 3D, AI, and spatial computing come together, this layer becomes even more central to what enterprises can do.

What the compute and AI layer provides

Streaming and Orchestration: The Connective Layer

This layer ties devices and compute together. The heavy rendering runs on a server or in the cloud, and only the finished pixels stream to the headset.

This is where Hololight sits. Its XR pixel streaming technology renders centrally and streams only pixels, so complex models can be visualized on any supported device. Sensitive data never leaves the server.

At the base sits Hololight Hub, the orchestration platform that hosts and manages your XR apps. Streaming runs on top of it, delivering any app on the platform to the headset. From this central management layer, IT can deploy applications and control who has access.

Streaming and orchestration usually come from different tools, but Hololight combines them into one. Hololight is the industry's leading XR streaming infrastructure for enterprise, the only complete proprietary pixel-streaming stack, purpose-built for cloud, on-premise and air-gapped deployment across defense, automotive, and manufacturing. That still needs a solid hardware base, meaning the XR devices and the servers that render. Even there, our partnerships help:  MIFCOM offers ready-to-deploy workstations with Hololight Hub integration, and for large-scale, turn-key infrastructure there is NVIDIA Project Aurora.

The value of this layer shows up in real workflows, not in the technology on its own. A few examples from teams that use it:

How enterprises use this layer

At the infrastructure level, Hololight's XR pixel streaming technology is part of the strategic collaboration behind Lockheed Martin Skunk Works' 5G Pixel Streaming Kit. The kit streams high-fidelity, real-time 3D visualization to edge devices for defense sustainment work.

Application and Content Companies

The top layer is the software your teams actually open. Some comes from the big design and visualization vendors. Autodesk, one of the largest names in design software, builds tools like VRED, a fixture in automotive design, and Dassault Systèmes brings VR capabilities into its 3DEXPERIENCE platform.⁶ These are strong signals that the biggest design and engineering vendors see XR as core, and each becomes far more powerful once its output reaches any headset at full fidelity. Other tools are built in game engines like Unity and Unreal Engine, or written in-house by the teams that use them.

Whatever the source, this software has to reach the headset, and that is where the infrastructure layer connects. In-house apps built in Unity or Unreal become streamable with Hololight Stream SDK. Autodesk VRED streams into XR with a single click. And any OpenXR-compatible application can run through the same infrastructure, hosted and delivered from one place.

Who sits in this layer

How to Choose the Right Spatial Computing Partner

Start by finding your gap. Because no company covers every layer, the useful question is which one you are missing. Three questions surface it quickly: device fit, rendering and delivery, and data control.

If your teams use mixed devices and heavy models, the streaming and orchestration layer is usually the priority. At enterprise scale, that infrastructure layer often decides success, because it keeps a deployment secure, manageable, and device-independent. Match the vendor type to the gap rather than to the loudest brand.

Match the vendor to your gap

Conclusion

Spatial computing is not one company or one product. It is a set of layers, each shaped by a different kind of company. For enterprises, the practical question is simple: which layer closes your gap? For teams with mixed devices and heavy 3D models, the connective streaming and orchestration layer is often what makes it all work.

Explore the XR Streaming Layer Behind Enterprise Spatial Computing

Prefer to talk it through with someone? Contact our team.

Last updated: August 3, 2026

Sources

1. 1.  Apple. "Introducing Apple Vision Pro: Apple's First Spatial Computer." Apple Newsroom, June 5, 2023. apple.com/newsroom/2023/06/introducing-apple-vision-pro
2. 2.  CNBC. "Apple Calls Its Vision Pro a 'Spatial Computer.'" CNBC, February 8, 2024. cnbc.com/2024/02/08/apple-calls-its-vision-pro-a-spatial-computer-what-that-means.html
3. 3.  Nair, Meera. "Inside the Next Phase of Enterprise XR With Florian Haspinger." Digital Digest, July 17, 2026. digitaldigest.com/florian-haspinger-enterprise-xr-infrastructure
4. 4.  Khronos Group. "OpenXR Overview." khronos.org/openxr
5. 5.  Hololight. "Hololight XR Streaming with NVIDIA Omniverse and Project Aurora." hololight.com/partners/nvidia
6. 6.  Dassault Systèmes. "Virtual Reality for Business (3DEXCITE)." 3ds.com. 3ds.com/products/3dexcite/commercial-experience-building/virtual-reality