Scaling XR: Expert Solutions to Bridge the 70% IT Gap
Scaling XR: Expert Solutions to Bridge the 70% IT Gap
The extended reality (XR) market is on a meteoric rise, projected to reach $250 billion by 2028 (McKinsey, 2024), driven by a 250% increase in search interest over the past five years (Exploding Topics, 2025).
From healthcare to gaming, XR’s potential to revolutionize industries is undeniable, yet scalability remains a significant hurdle, with 70% of companies lacking the IT infrastructure to support widespread adoption, according to Gartner’s 2025 tech trends.
The Techronicler team reached out to tech leaders and experts to address the query:
The XR market is projected to reach $250 billion by 2028 (McKinsey, 2024), with a 250% increase in search interest over five years (Exploding Topics, 2025). However, scalability lags, as 70% of companies lack the IT backbone for XR, per Gartner’s 2025 tech trends. What is one solution you’d recommend to improve this scalability statistic in your industry?
Their responses—from leveraging cloud-native platforms to adopting edge computing—offer actionable strategies to bridge the IT gap, ensuring industries can harness XR’s transformative power in a rapidly evolving digital landscape.
Read on!
Burak Ozdemir
I recommend using modular, web-based XR solutions that follow open standards to scale XR. Rather than building XR tools from scratch or relying on complex local installs, businesses can adopt frameworks that run in the browser and integrate with existing workflows.
This reduces setup time and doesn’t put extra load on internal systems. It also makes testing and updating features easier without requiring new hardware or extensive training.
WebXR is an excellent example of this, offering quick deployment and cross-device compatibility. This approach makes XR more affordable for everyday use in industries like education, marketing, and training.
Businesses can make XR adoption more manageable and sustainable by starting with small projects and incrementally adding new features.
Burak Ozdemir
Founder, Morse Code Translator
Marin Cristian Ovidiu
While we were experimenting with XR to prototype immersive game mechanics, we encountered a wall, not due to creativity but infrastructure.
Our development tools were faster than our deployment capabilities, especially in different devices and platforms. The solution to the problem was that we had to shift to a modular, cloud-based XR architecture.
For companies to be able to scale more specifically in the area of gaming and interactive media they must follow the adoption of WebXR frameworks that are based on scalable cloud rendering.
Offloading from local hardware this processing burden yields the performance quality on all devices simultaneously-from high-end headsets to basic browsers. It also helps speed up the entire deployment and iteration stage which is only for fast-moving industries.
The mind frame is like displacing local counterfeit installations to cloud gaming for XR. The technology is entirely there, but what is required is an alteration in the attitude toward environmental change and the implementation of flexibility first.
Antony Marceles
Cloud-Native, Modular Infrastructure is Key: To close the scalability gap in XR adoption, one of the most effective solutions I’d recommend is investing in cloud-native, modular infrastructure.
At Pumex, we’ve seen that companies trying to implement XR often underestimate the real-time data demands and integration challenges with existing systems. By designing systems with microservices architecture, API-first approaches, and edge computing capabilities, businesses can better support the low-latency, high-bandwidth requirements of XR environments, without needing to completely overhaul their tech stack all at once.
This approach also allows for incremental deployment, which is ideal for testing and scaling XR solutions responsibly.
Bridging IT Gaps with Strategic Partnerships: Another practical lever is forming strong partnerships with experienced IT service providers who specialize in XR infrastructure.
Too many companies attempt to scale with in-house teams that aren’t equipped to handle the hybrid challenges of XR, from GPU-intensive cloud provisioning to spatial data security.
Outsourcing this foundation accelerates time-to-market and ensures stability under load. We’ve guided clients through phased rollouts where XR pilots ran on lightweight, containerized environments before scaling across enterprise use cases.
The key is to treat XR not as a standalone project, but as a connected ecosystem requiring robust IT fundamentals from day one.
Antony Marceles
Founder, Pumex
Jags Kandasamy
The 70% of companies lacking IT backbone for XR aren’t facing a hardware problem, they’re facing an architecture problem. Traditional XR approaches demand massive centralized infrastructure, but that’s fundamentally backwards. With Edge AI, you can compress AI models by 10X with only 1% accuracy loss, which transforms XR economics entirely.
Instead of building expensive cloud infrastructure to support XR, organizations can deploy adaptive AI technology that processes data locally on existing devices. Edge AI models use only the neural network components they need, dramatically reducing power consumption and hardware requirements. This means XR applications can run on standard hardware rather than specialized infrastructure.
The real breakthrough is moving the model to the data, not data to the model. Companies can deploy XR using their current IT backbone rather than waiting for massive infrastructure upgrades. That 70% statistic drops significantly when you eliminate the infrastructure barrier through intelligent edge processing.
Jags Kandasamy
CEO & Co-founder, Latent AI
Renante Hayes
Last year, we helped a mid-market retailer deploy VR fitting rooms by decoupling their XR applications from legacy systems.
Rather than building a monolithic XR platform requiring complete IT restructuring, we created lightweight containers that interfaced with existing systems through APIs. This approach reduced infrastructure requirements by 60% while maintaining performance.
The beauty of this solution is scalability on demand – containers can be spun up as needed and deployed across hybrid cloud environments, eliminating the need for specialized hardware. Companies can start small, experiment quickly, and scale gradually without disrupting operations.
Renante Hayes
Executive Director, Creloaded
Nathalie Bennett
After implementing XR product visualization for several e-commerce clients, I’ve identified a critical solution: modular, cloud-based XR infrastructure.
Rather than building comprehensive in-house systems, companies should adopt API-first XR platforms that require minimal technical overhead. At shopthemer, we’ve seen conversion rates increase 37% through implementing lightweight, third-party XR solutions that integrate with existing e-commerce infrastructure.
This approach eliminates the need for specialized IT teams and reduces implementation time from months to weeks. The key is selecting solutions that scale with usage rather than requiring massive upfront investment.
For retailers especially, starting with specific high-value customer journeys (like virtual try-ons) creates immediate ROI while building organizational competence in XR technologies.
Nathalie Bennett
Growth Hacker, Shopthemer
Ace Zhuo
To enhance scalability metrics in the XR industry, a pivotal approach I suggest is utilizing cloud-driven systems specifically designed for XR applications.
At TradingFXVPS, we focus on delivering high-efficiency, low-delay VPS services for the forex and trading sectors. This expertise translates effectively into XR by ensuring the digital infrastructure is prepared to manage extensive data processing and computational demands needed for immersive experiences.
Deploying adaptable server frameworks with edge computing can drastically minimize latency challenges, ensuring real-time interactions and smoother functionality. Additionally, applying AI-enhanced resource management within cloud ecosystems will streamline hardware usage and cut operational expenses for businesses embracing XR.
Based on my experience as the CEO of TradingFXVPS, I’ve witnessed how robust and dependable IT systems can revolutionize industries, and I’m confident the same applies to XR.
The solution lies in merging technological advancements with consistent performance to address the scalability challenges and fully unlock XR’s potential.
Ace Zhuo
CEO & Business Development Director, TradingFXVPS
Moattar Ali
Edge computing is the most potent answer to the XR scalability challenge. By processing data closer to users rather than in distant data centers, companies reduce latency from 100+ ms to below 20 ms, the minimum needed for smooth XR experiences. This decreases bandwidth needs by 60% while supporting 5x more concurrent users.
When we rolled out XR training to our sales force, we encountered massive bandwidth chokepoints and network crashes. By installing edge computing nodes in three office locations, our processing capacity improved by 400%, and implementation costs were reduced by 35%. The platform is now capable of handling 200+ concurrent users without lag.
“XR is not failing because of the technology itself; it is failing because companies are trying to bring tomorrow’s experiences on yesterday’s infrastructure,” according to our CTO.
Wise businesses will realize that XR adoption is never about purchasing headsets; it’s about constructing the right foundations that allow those experiences to scale.
Moattar Ali
VP of Marketing, HARO Link Builder
Kevin Shahnazari
Scaling XR is possible with a single solution of strength: embracing cloud-native infrastructure and AI-driven resource allocation.
By moving XR workloads to elastic clouds, companies can allocate computing power dynamically based on real-time demand, keeping on-premises IT investments to a minimum.
AI can fine-tune rendering, latency, and bandwidth to deliver smooth user experiences regardless of growing XR adoption.
This keeps entry expenses for companies with weak IT infrastructures low, allowing scalable growth with cost management.
In addition, using standardized APIs and modular XR development platforms enhances interoperability and speeds deployment, all contributing to scalability.
Kevin Shahnazari
Founder & CEO, FinlyWealth
On behalf of the Techronicler community of readers, we thank these leaders and experts for taking the time to share valuable insights that stem from years of experience and in-depth expertise in their respective niches.
If you wish to showcase your experience and expertise, participate in industry-leading discussions, and add visibility and impact to your personal brand and business, get in touch with the Techronicler team to feature in our fast-growing publication.
