Cutting XR Production Costs by 40%: The Strategic Case for On-Demand CGI Content

Immersive Tech

Pranay Bhandare

4 Min

Oct 13, 2025

The economics of extended reality production have reached an inflection point. While brands continue investing heavily in immersive experiences—from product launches in virtual showrooms to interactive installations at flagship Experience Centres—many are discovering that traditional production workflows consume budgets faster than they deliver value. The culprit isn't ambition or creative vision. It's infrastructure.

Consider the typical XR project timeline: location scouting across multiple cities, physical set construction that takes weeks, crews traveling with equipment cases that weigh more than small vehicles, and post-production cycles that stretch timelines until the market moment has nearly passed. Each of these steps carries not just direct costs, but opportunity costs—the campaigns you can't run, the activations you postpone, the competitive advantages you surrender while waiting for renders to complete.

The fundamental shift happening now isn't about technology for technology's sake. It's about restructuring production economics from fixed, capital-intensive operations to flexible, asset-based models that scale with your actual needs.

Companies making this transition are documenting cost reductions in the 40-60% range, not through corner-cutting, but through intelligent reallocation of resources. The mechanism is straightforward: replace physical dependencies with digital alternatives wherever the creative outcome remains equivalent or superior.

Where Traditional Production Bleeds Budget

Location shoots represent one of the largest cost centers in immersive content creation. The process demands location scouts, permit coordination, equipment transport, crew accommodation, and contingency planning for weather disruptions. A single day of on-location shooting for an XR activation can easily consume ₹8-12 lakhs when you account for the full team, equipment rental, travel logistics, and location fees.

The mathematics get worse when dealing with multiple locations or environments that exist only briefly. Capturing monsoon conditions in Kerala, desert landscapes in Rajasthan, and urban architecture in Mumbai for a single brand campaign means three separate production cycles, each with its own logistical overhead.

Physical set construction compounds the problem. Building a set for an immersive installation or Experience Centre component involves material procurement, skilled labor, construction time, and eventual disposal. These assets rarely survive beyond their initial use. A custom-built environment for a product launch might cost ₹15-25 lakhs to construct, serve its purpose for a three-day event, and then become waste.

The inefficiency isn't just financial—it's temporal. Physical construction operates on construction timelines, not creative timelines. When stakeholders request changes midway through a build, the costs multiply exponentially.

Post-production represents the third major drain. Traditional workflows push creative decisions downstream, where fixing them becomes expensive. Green screen keying, VFX integration, color correction, and compositing require specialized teams working in sequence. Each revision cycle adds days or weeks to delivery, with costs accumulating linearly.

What brands often discover too late is that decisions made during physical shoots create constraints that post-production teams must work around rather than solve. The camera angle that seemed reasonable on set becomes problematic in VFX integration. The lighting that looked adequate in person creates keying nightmares. These aren't creative failures—they're structural problems inherent to disconnected workflows.

The On-Demand CGI Model: Restructuring Production Economics

On-demand CGI content fundamentally inverts the traditional production model. Instead of building physical elements that cameras capture, teams create digital environments that render in real-time or near-real-time, allowing creative decision-making to happen during production rather than after.

The operational difference manifests immediately in resource allocation. Instead of transporting crews to locations, you bring locations to the production environment. Virtual sets rendered through game engines like Unreal Engine enable teams to cycle through multiple environments—from Himalayan landscapes to corporate boardrooms—within a single production day, all from a controlled studio space.

LED volumes and in-camera visual effects technology take this further by allowing directors and stakeholders to see the final composite during the shoot itself. The background isn't a green screen to be replaced later; it's the actual rendered environment, visible in-camera, reactive to camera movements, and adjustable in real-time. This collapses the gap between production and post-production, eliminating the costly revision cycles that occur when stakeholders first see finished work weeks after the shoot.

Digital asset creation shifts from disposable to reusable. A 3D model of a product, environment, or architectural element becomes a permanent asset. That virtual showroom built for one campaign can be modified, relit, and repurposed for subsequent activations. The same digital twin of a product used in an AR experience can populate holographic displays, interactive walls, and web-based configurators without rebuilding from scratch each time.

This modularity extends to creative iteration. Making changes to digital environments doesn't require tearing down sets and starting over. Adjusting lighting takes minutes, not hours. Changing time of day is a parameter adjustment. Testing different camera angles doesn't mean rescheduling shoots. The creative process becomes genuinely iterative, where teams can explore options that would be prohibitively expensive in physical production.

Resource efficiency transforms from fixed overhead to variable scaling. Traditional production requires maintaining teams capable of handling peak demand, meaning those resources sit idle during slower periods. On-demand models let you scale specialized talent—CGI artists, virtual production specialists, technical directors—to match project requirements. This converts what were fixed costs into variable costs that flex with actual production volume.

The Indian Production Model: Proof at Scale

The viability of on-demand CGI isn't theoretical—it's demonstrable through what's happening in Indian VFX and production studios. Over the past decade, Indian companies have become critical partners for major international productions, not through undercutting on quality, but through optimizing cost structures while maintaining high-end output.

Indian VFX studios consistently deliver work at 40-60% lower costs than Western counterparts while contributing to projects that win industry recognition. This isn't about cheaper labor—it's about operational models built around flexible, specialized teams working on distributed projects. These studios operate on project-based engagements, scaling up for complex sequences and down between projects, maintaining lean operations that don't carry the overhead of traditional studio infrastructure.

The same principles apply to XR production. Studios working on immersive content for global brands have refined workflows that maximize asset reuse, leverage cloud-based rendering to avoid massive hardware investments, and structure teams around modular project needs rather than fixed departments.

For brand teams evaluating on-demand CGI models, the Indian production ecosystem provides validated proof that quality and cost efficiency aren't mutually exclusive when production architecture is designed around digital-first workflows.

Quantifying the Impact: Where the 40% Comes From

The cost reduction in on-demand CGI models isn't evenly distributed—it concentrates in specific areas where traditional production carries inherent inefficiencies.

Location and travel expenses typically represent 15-25% of production budgets. Eliminating or drastically reducing these costs provides immediate savings. A campaign requiring shots from five different environments might traditionally demand five location shoots with full crew travel. The same campaign using virtual production might require one controlled shoot with digitally rendered environments, cutting location costs by 80% or more.

Physical prototyping costs drop dramatically when brands can visualize products in photorealistic CGI before manufacturing. Manufacturing and design companies report 50% reductions in prototype requirements by moving to VR-first review processes. For product launches and Experience Centres showcasing pre-production items, this alone justifies the transition.

Post-production timelines compress significantly with in-camera VFX. When stakeholders see the final visual during the shoot, the traditional back-and-forth revision cycle shrinks. Projects that might take 6-8 weeks in post-production can complete in 2-3 weeks, reducing both hard costs and opportunity costs.

Travel and coordination expenses diminish through cloud-based collaboration tools. Specialized consultants, creative directors, and technical experts can participate in virtual production reviews without physical presence. Companies report savings exceeding ₹20-25 lakhs annually just in eliminated travel costs for multi-stakeholder projects.

Material waste and construction costs effectively disappear. The environmental and financial costs of building sets, props, and installations that have single-use lifespans are replaced by digital assets that persist indefinitely. An Experience Centre that might require ₹40-50 lakhs in physical construction could be prototyped, refined, and pre-visualized entirely digitally for a fraction of that investment, with the physical build happening only once all stakeholders have approved the final design.

The compounding effect across these areas is where the 40% threshold becomes achievable—not through marginal improvements, but through eliminating entire categories of expense.

Implementation Framework: Making the Transition Work

Transitioning to on-demand CGI models requires strategic planning, not just technology adoption. The companies seeing the strongest returns approach this as an operational transformation, not a tool purchase.

Building a library of reusable digital assets should be the first priority. Every product, environment, or branded element created as a 3D model becomes infrastructure for future projects. A modular library means subsequent campaigns start with existing assets rather than blank slates. This investment pays dividends across every subsequent project, with marginal costs per use approaching zero after the initial creation.

Virtual production tools—particularly game engines and LED volume technology—should be evaluated based on how they integrate into existing workflows, not as isolated capabilities. The goal isn't to replace creative teams with technology; it's to remove technical constraints that limit creative options. Teams that successfully adopt virtual production typically invest significant time in pre-production planning, where virtual art departments work out technical and creative approaches before any cameras roll.

This upfront shift in resource allocation represents a cultural change. Traditional production pushes costs downstream into shooting and post-production. Virtual production front-loads investment into pre-production, where decisions are cheaper to make and revise. The savings come from avoiding expensive fixes later, not from reducing quality.

Partnering with specialized CGI studios provides access to expertise without building permanent internal teams. The studio-on-demand model mirrors how brands already work with production companies, extended to encompass digital asset creation, virtual production support, and post-production services. This approach works particularly well for brands running periodic campaigns rather than continuous production, where maintaining full-time specialized teams doesn't align with project cadence.

Prioritizing use cases based on where on-demand CGI delivers the clearest advantages accelerates adoption and builds internal case studies. Projects involving difficult-to-access locations, extensive green screen work, or weather-dependent shoots are natural candidates. So are activations requiring rapid iteration or campaigns where brand stakeholders need to approve environments before physical construction begins.

Navigating the Challenges: What Implementation Actually Requires

The transition to on-demand CGI isn't without friction points that need acknowledgment and planning.

Initial investment requirements are real. Virtual production technology—LED volumes, game engine licenses, rendering infrastructure—represents capital expenditure, even if ongoing operational costs drop significantly. Cloud-based rendering reduces this somewhat by converting hardware costs into operational expenses, but the upfront investment in training, workflow development, and technology integration still exists.

For many brands, the approach that makes most sense involves partnering with production partners who've already made these investments rather than building internal capabilities from scratch. This allows access to virtual production benefits without shouldering the full capital burden.

Cultural adaptation within creative teams can't be underestimated. Production crews, directors, and creative stakeholders accustomed to physical shoots need to develop comfort with virtual environments and digital workflows. The skillsets required shift from traditional production crafts toward hybrid roles that understand both cinematic principles and real-time rendering technology.

This learning curve is manageable but not instantaneous. Successful transitions typically involve pilot projects where teams can experiment with virtual production on less critical campaigns before rolling it out to major initiatives. Internal champions who bridge traditional production knowledge and emerging technologies become invaluable during this phase.

Technical complexity requires specialized expertise. Virtual production depends on seamless integration between game engines, camera tracking systems, color management pipelines, and rendering infrastructure. When these systems work correctly, the results are remarkable. When integration breaks down, troubleshooting becomes complex and time-consuming.

Strong project leadership, meticulous planning, and clear communication protocols become even more critical than in traditional production. Teams need technical directors who understand the full technology stack and can troubleshoot integration issues before they impact production schedules.

Risk mitigation centers on thorough pre-production and technical rehearsals. Virtual production allows extensive previsualization and technical validation before principal photography begins, but only if teams allocate time for these steps. Rushed virtual production—attempting to replicate traditional shoot-first-fix-later approaches in digital environments—typically produces disappointing results and undermines confidence in the methodology.

The Competitive Reality: Why This Transition Is Accelerating

Beyond pure cost considerations, on-demand CGI is becoming a competitive necessity for brands operating in fast-moving sectors. The ability to iterate quickly, test multiple creative approaches, and deploy campaigns faster than competitors creates advantages that extend beyond budget savings.

Time-to-market improvements may ultimately matter more than cost reductions. A product launch that reaches market three months faster because virtual production compressed production timelines captures consumer attention before competitors respond. An Experience Centre that can be redesigned and updated quarterly without reconstruction costs stays relevant to evolving customer expectations.

Market responsiveness becomes a differentiator. When campaigns can incorporate current events, trending aesthetics, or competitive responses without triggering expensive reshoots, brands maintain cultural relevance that rigid production cycles can't match.

The quality ceiling for immersive content continues rising. Consumer expectations shaped by high-end gaming graphics, sophisticated streaming content, and polished digital experiences mean that adequate is no longer sufficient. Brands need production capabilities that deliver cinema-quality visuals at campaign-production cadences. On-demand CGI models make this combination economically viable in ways traditional production doesn't.

For Experience Centres, retail installations, and branded environments, the ability to update content without physical reconstruction means these spaces can evolve with brand strategy rather than remaining static investments. An interactive wall or holographic display showing CGI content can refresh monthly or seasonally, maintaining visitor interest and extending the effective lifespan of physical installations.

The Path Forward: Strategic Adoption for Established Brands

For brand managers, marketing leaders, and decision-makers evaluating whether on-demand CGI makes sense for their organizations, the question isn't whether this transition will happen—it's whether to lead it or follow it.

Early adopters gain two distinct advantages: operational learning curves that refine internal capabilities ahead of competitors, and the ability to capture market attention through differentiated creative execution that later adopters will struggle to match.

The brands seeing strongest results approach on-demand CGI as infrastructure investment, not campaign expense. Each project builds digital assets, workflow refinement, team capabilities, and internal case studies that make subsequent projects faster and more cost-effective. The 40% cost reduction isn't typically achieved on the first project—it emerges as accumulated efficiencies compound across multiple initiatives.

Starting with pilot projects in controlled scopes allows teams to develop confidence and capabilities without betting the entire marketing budget on unproven workflows. A single product launch using virtual production, a limited-run activation incorporating real-time CGI, or an Experience Centre component built first as a digital twin provides proof points that inform larger rollouts.

Selecting the right production partners becomes critical during this transition. Studios that understand both traditional production excellence and emerging virtual workflows bridge the knowledge gap that internal teams need to cross. These partners bring not just technical capabilities, but operational frameworks for integrating on-demand CGI into existing marketing operations.

The conversation around on-demand CGI has moved past whether it works—the case studies, cost data, and deployed projects demonstrate viability. The question now facing brand leaders is how quickly to adopt these methodologies and what competitive advantages await those who move decisively.

If you're exploring how on-demand CGI and virtual production could transform your brand's approach to immersive content, the time to move from evaluation to experimentation is now. The brands defining the next generation of immersive experiences aren't waiting for perfect certainty—they're building capabilities while the competitive landscape is still forming.

About the Author

Pranay Bhandare
SEO Executive

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About the Author

Pranay Bhandare
SEO Executive

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