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Tech’s Big Bang in 2025: AI is the Spark Igniting a New Era

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Dell

By John Roese, Global Chief Technology Officer and Chief AI Officer – Dell Technologies

The year is 2025, and we’re witnessing the technological equivalent of the “big bang” with AI at the epicenter of how we live, work and play. Just as the universe expanded rapidly after its inception, technology is exploding into new realms, redefining industries and reshaping our future. Whether you’re a tech enthusiast, business professional, innovator or student, understanding these shifts is vital to navigating this brave new world.

The Rise of Agentic AI Architecture

“Agentic” will be the word of the year in 2025. The birth of agentic AI architecture marks a new chapter in human-AI interaction. Generative AI (GenAI) tools are evolving to enable AI agents, which are poised to revolutionize how we engage with AI systems.

In the consumer world, we’ve seen early agent approaches with virtual assistants, chatbots and navigation apps. In 2025, a new, more advanced set of agents will emerge. These agents will operate autonomously, communicate in natural language and interact with the world around them, including working in teams of other agents and humans. They will also be fine-tuned and optimized to perform assigned, specific skills, like coding, code review, infrastructure administration, business planning and cybersecurity.

AI agent systems will feature diverse cognitive, orchestration, and distribution architectures tailored to specific tasks. As complexity grows, multi-agent systems will emerge, requiring the rapid evolution of tech stacks to support agentic systems effectively.

To realize AI’s full potential and the rise of agentic architecture, enterprises must upgrade infrastructure – everything from data centers to AI PCs. This distributed infrastructure optimized for agentic AI can address security, sustainability and capacity considerations by distributing the AI workload across the entire IT infrastructure (cloud, data center, edge, and device).

Scaling Enterprise AI From Concept to Reality

Enterprises are poised to take AI from ideation to scale. Enterprise AI is simply the application of AI technology to a company’s most impactful processes in its most important areas to improve the productivity of the organization. It requires customers to answer two important questions:

  • First, what problem am I trying to solve? Developing a framework to prioritize AI efforts to the most important, impactful areas is critical.
  • Secondly, how do I solve that problem? AI solutions implemented as random projects on random tools do not scale. Instead, enterprises must determine the minimum set of AI systems needed to build a reusable and scalable AI foundation. This allows them to solve the first set of critical AI problems, and then leverage that investment to solve all future AI problems.

At Dell, for instance, our priority areas are our global supply chain, our services capability, our sales engine and our R&D capacity. Any impact on these areas results in significant ROI over other areas like HR, finance and facilities.

Next, enterprises should look at specific processes in its priority areas. For example, if process analysis uncovers an opportunity not in how salespeople interact with customers, but in how much time they spend gathering content for the customer meeting, that’s a clear AI project. GenAI can be used to automate and accelerate content discovery and creation work. In this case, the ROI is clear: shift sellers’ time back to customer-facing activities and increase revenue.

To execute prioritized projects, enterprises today have multiple off-the-shelf tools from which to choose. So, in 2025 the preferred path is to buy and implement AI tools in their private infrastructure. They can also buy tools that accelerate data modernization (data meshes, for example), and with the Dell AI Factory advancements over the past year, the infrastructure is now simple to adopt and implement.

In 2025, we have clear, repeatable approaches for prioritization and more turnkey and well-defined AI platforms and AI infrastructure options. 2025 is a year when it simply becomes easier to know what to do and how to do it when adopting AI in the enterprise space.

Sovereign AI Accelerates Global Adoption

Sovereign AI efforts are accelerating AI adoption worldwide. This concept revolves around a nation’s ability to create AI value and differentiation using its own infrastructure and data, designing an ecosystem aligned with local culture, language and intellectual property. In an era where data security is paramount, countries are opting for sovereign AI strategies and solutions, often with strong collaboration between the public and private sectors.

Instead of AI systems exclusive to governments, some countries are developing national AI resources to serve both government and local private industry, providing access to compute power and data capacity. Others are implementing a coherent national strategy where governments do not necessarily build new infrastructure but instead proactively and collaboratively co-design and encourage private industry to modernize and lead AI ecosystems.

Sovereign AI empowers nations to increase accessibility, protect critical infrastructure, drive economic growth, and enhance global competitiveness. By fostering the development of AI, it accelerates its adoption. We’re seeing growing investments directed toward infrastructure, data management, talent cultivation, and ecosystem development – and we fully expect to see this trend continue in the years ahead.

AI and the Fusion of Emerging Technologies

AI’s true potential lies in its connections with other emerging technologies. While AI itself is transformative, its impact multiplies when combined with quantum computing, intelligent edge, Zero Trust security, 6G technologies and digital twins, to name a few. This fusion creates a dynamic environment ripe for innovation and addressing existing challenges.

For instance, quantum computing in collaboration with AI will significantly impact most industries by providing the computing capability needed to scale AI to domains where classical computing struggles – likecomplex material science, drug discovery and complex optimization problems.

AI and telecom are already coming together to transform how cellular networks operate and how fundamental elements of these systems, like spectrum optimization, work. Even the future of the PC is influenced by AI, as we now see the AI PC not just as a client device but part of the end-to-end AI infrastructure. With agentic architectures, we expect to shift agents out of the data center and onto the edge or to the AI PC.  

Zero trust security and AI also are intersecting. Zero trust architectures are the best path to a better, more secure world and implementing zero trust in brownfield legacy IT is hard. In contrast, AI infrastructure is new and greenfield. We expect customers to adopt zero trust by default in new AI factories for optimal security. Given the criticality of AI, that is a good thing for all of us.

AI Becomes an Essential Skill for Everyone

AI will become an indispensable tool across professions and industries. Much like past technological advancements, AI is poised to transform the job market. Routine, task-oriented roles may diminish, but new opportunities will arise, such as software composers, AI content editors and prompt engineers.

Recent surveys reveal 72% of IT leaders identify AI skills as a critical gap requiring immediate attention. Organizations must invest in developing their workforce’s AI fluency. AI skill development will be focused on defining the AI/human relationship where AI completes more of the tasks, but people define what needs to be done. This allows professionals to focus on higher-level tasks, critical thinking and complex problem-solving.

With AI, it’s not just about the work that goes away, it’s about the new roles humans play in shaping, directing and leading AI work. AI-enabled businesses can use the evolution of the human-machine relationship to accomplish tasks in different ways and expand the art of the possible.

AI is Tech’s Grand Evolution

Just as the Big Bang set the stage for the development of galaxies, stars and planets, the rapid growth of AI is creating new opportunities, industries and ways of living and working.

As we approach 2025, we predict enterprise AI adoption will accelerate dramatically in the coming year. We’re seeing better processes, better tools and a stronger ecosystem. At Dell, our initial AI projects have scaled successfully and demonstrated the potential for ROI is real. We predict the rest of the enterprise ecosystem will quickly follow suit.

For CIOs, staying informed and adaptable will be essential. Organizations must prioritize AI fluency, invest in talent development and explore innovative solutions to remain at the forefront of this tech revolution.

The future belongs to those who can harness the power of AI. Whether you’re a business executive, tech enthusiast, or innovator, the time to act is now. The impact will be profound.

Tech Features

Shure’s Growth Story in the Middle East and Beyond

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Shure Axient Digital PSM

As the region accelerates its digital and cultural transformation, professional audio will only grow in importance.

By Yassine Mannai, Associate Director Sales, Shure MEA

A portrait of Yassine Mannai, associate director sales, Shure MEA
Yassine Mannai, Associate Director Sales, Shure MEA

The Middle East and Africa (MEA) region is witnessing an extraordinary moment of profound transformation as nations continue to reimagine their respective economies. Cities across this vibrant region are increasingly positioning themselves as global hubs, anchored on rapid technological shifts. From national diversification agendas such as Saudi Arabia’s Vision 2030 to the UAE’s expanding cultural economy and Africa’s urbanization, the region is rethinking how it communicates, collaborates, and entertains. Against this backdrop, professional audio integration has emerged as the key enabler. Pro audio is no longer viewed as luxury; it has become a strategic pillar of productivity, culture, and trust.

For Shure, this represents fertile ground for growth. The company’s trajectory in the region is anchored on a clear multi-prong approach: sustainable value creation through localization, strong partnerships, and continuous education. Rather than chasing short-term wins, the focus is on building strong ecosystems where audio technology empowers organizations to achieve their ambitions.

A Partner in Regional Growth

Demand for professional audio is being fueled by three key drivers. First, the large-scale investments in infrastructure and cultural projects trend in the region is creating an appetite for reliable, scalable audio solutions. Second, with hybrid work and learning still active, audio systems now serve as must-have tools for collaboration, ensuring clarity and engagement. Third, the entertainment and events industry continues to flourish, with audiences expecting immersive sound experiences with emotional connection.

Shure’s presence in conferences, cultural centers, and classrooms underscores its adaptability. By aligning closely with each sector’s needs, the company is not just supplying equipment – it is shaping how people experience communication and culture. Providing the ultimate IT and meeting room solutions is one thing, ensuring that end-user requirements in meeting spaces are consistently met is where the rubber meets the road, which makes factors such as quality, form factor, and smart solutions that leverage technology for seamless integration crucial.

A Strategy Anchored on Three Pillars

Shure’s growth blueprint rests on localization, partnerships, and education.

  • Localization ensures that global standards are adapted to regional requirements. A broadcaster in Abu Dhabi may demand wireless mobility, while a university in Riyadh seeks scalable, user-friendly systems. Meeting these nuanced needs requires agility and customization.
  • Partnerships with distributors, integrators, and resellers expand reach and sustain service excellence. These trusted relationships are critical to delivering value on the ground.
  • Education equips professionals with the right skills to maximize technology investments. Through training initiatives, Shure empowers AV specialists to deploy and maintain systems effectively, ensuring customers achieve long-term returns.

Technology and Innovation at the Forefront

We strongly believe that the future of audio in the region will be shaped by three defining trends.

  • Immersive experiences are becoming a cultural norm, and audio must now create impact as much as it delivers clarity.
  • AI and intelligent systems are moving from concept to reality making adaptive audio that responds to its environment the way to go.
  • Hybrid environments will remain central to work and education even as physical and virtual interactions merge with audio determining whether collaboration succeeds or fails.

A century of sound, a future of possibility

This year, Shure marks its 100-year anniversary. Few technology brands reach such a milestone, and fewer still do so with their reputation for quality and trust intact. For customers and partners in MEA and beyond, the centennial is not merely a celebration of heritage. It is a reassurance that Shure’s next century will be guided by the same principles that made it a global leader – with innovation, reliability, and customer focus at the core.

As the region accelerates its digital and cultural transformation, professional audio will only grow in importance. For IT leaders, this means viewing sound not as an afterthought, but as a strategic layer of infrastructure – one that underscores effective communication, collaboration, and connection.

Shure’s growth story is far from complete. The company’s next chapter is being written in partnership with the region’s institutions and enterprises. And in an age where voices need to be heard clearly across physical and digital spaces, Shure’s mission remains simple: to deliver sound that empowers progress.

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Tech Features

ASUS Techsphere Forum: Empowering Business Leaders Through Next-Gen Hardware Innovation

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ASUS Techsphere Forum - Group Photo


The line on the opening slide— “Every company will be an AI company”—wasn’t tossed out as a provocation. At the ASUS Techsphere Forum 2025 in Dubai, it landed as an operating instruction. The message across keynotes, the Intel segment, and two candid panels was strikingly consistent: AI stops being theatre the moment you standardize three things—the workspace (where people actually work), the runtime (so models are portable), and the portfolio (so you manage dozens of use cases like a product backlog, not a parade of proofs-of-concept).

Analysed By:
Subrato Basu, Managing Partner
, Executive Board
Crafted By:
Srijith KN,
Senior Editor
,
Integrator Media

A quick reality check on market size so we’re not drinking our own Kool-Aid: the global AI market in 2025 is roughly $300–$400B, depending on scope (software vs. software + services + hardware). Reasonable consensus ranges put 2030 at ~$0.8–$1.6T. In other words, still early—but already too big to treat as a side project.

A wide-angle shot of the ASUS Techsphere Forum

ASUS: PUT AI ON THE ENDPOINT—AND MAKE IT GOVERNABLE

ASUS’s enterprise stance is disarmingly practical. As Mohit Bector, Commercial Head (UAE & GCC) at ASUS Business, framed it, the fastest way to make AI useful is to put it where the work happens (the endpoint) and to make it governable. Concretely, that means:

  • NPUs for on-device inference (privacy, latency, battery life).
  • Manageability (fleet policy, remote control, security posture you can actually audit).
  • Longevity (multi-year BIOS/driver support) so IT can set an AI-ready baseline and keep it stable.

ASUS thinks about the modern workplace as an Enter → Analyse → Decide loop, this is where the workday actually speeds up—quietly, relentlessly, at the endpoint:

  • Enter: the device captures signals—voice, docs, screens, forms, sensors.
  • Analyse: retrieval-augmented reasoning + analytics produce options, risks, and rationales.
  • Decide: humans choose; agents act—raise tickets, update ERP/CRM—with audit trails.

It isn’t about one blockbuster use case. It’s about standardizing the canvas, so small wins compound every week.

ASUS Techsphere Forum 2025 - Panel 1
Panel 1 – From Data to Decisions: Leveraging AI Across Industries

INTEL: FROM SLOGAN TO STACK (AND WHY THE AI PC MATTERS)

Intel’s deck made the “every company will be an AI company” claim implementable. Four slide-level words—Open, Innovative, Efficient, Secure—double as a buyer checklist:

  • Open: less cost, no lock-in. The same models should move across CPU/GPU/NPU and PC → Edge → Datacentre/Cloud without rewrites.
  • Innovation: treat AI PCs with NPUs, edge systems, and cloud clusters as one continuum.
  • Efficient: lead on performance per dollar and per watt; energy and cost are first-class design goals.
  • Secure: your data and your models are IP; run locally when you should, govern tightly when you don’t.

A “Power of Intel Inside” platform slide stitched this together:

  • AI software & services: OpenVINO as the portability layer to convert/optimize/run models across heterogeneous silicon.
  • AI PC: always-on, private inference for day-to-day assistants.
  • Edge AI: near-machine intelligence for vision and time-series use cases.
  • Datacentre & cloud AI: scale-out training/heavy inference (fraud graphs, multimodal analytics, enterprise RAG).
  • AI networking: the fabric that keeps it all moving—securely.

Why the fuss about the AI PC? Because it’s the next enterprise inflection after Windows and Wi-Fi. Slides mapped tangible outcomes:

  • Productivity: faster info-find, auto-drafts, note-taking.
  • Communication: translation, live captioning, dictation, transcription.
  • Collaboration: smart framing, background removal, eye tracking, noise suppression—without pegging the CPU.
  • IT operations: endpoint anomaly detection, VDI super-resolution, remote screen/data removal.
  • Security: client-side deepfake detection, anti-phishing, ransomware flags.

Under the hood, Intel’s definition is a division of labour: CPU for responsiveness and orchestration, GPU for high-throughput math/creation, NPU for low-power sustained inference—the always-on stuff that makes assistants truly useful. Add vPro + Core Ultra and you get the fleet controls and long-term stability IT actually needs.

One more practical bit I liked: Intel AI Assistant Builder—a portal to stand up local assistants/agents (with RAG) that can run on the PC fleet first, shrinking time-to-value from months to days/weeks and letting you prove the full E-A-D loop before you scale heavier jobs to edge/cloud.

When the “100M AI PCs by 2026” slide hit the screen, heads tilted from curiosity to calculation. The figures—bullish vendor projections (~100M by 2026; ~80% AI-capable by 2028)—invite a haircut, but the signal is unmistakable: endpoint AI is becoming the default.

ASUS Techsphere Forum 2025 - Panel 2
Panel 2 – AI-Powered Workspaces and the Future of Work

WHAT THE PANELLISTS REALLY TAUGHT US

RAKEZ (Free Trade Zone)

Posture: Execution-first. Make AI practical on the shop floor and trustworthy in the back office—governed from day one.

What they drive:

  • Diagnostics (OEE baselines, defect maps) + data-readiness scans (MES/ERP) so pilots don’t stall.
  • Reference lines/sandboxes where vendors prove accuracy, safety, throughput before purchase.
  • Template playbooks: CV-QC, predictive maintenance, warehouse vision, invoice extraction/3-way match—each with SOPs, KPIs, integration steps.
  • Curated vendors + shared services (labelling, model hosting/monitoring, SOC for AI) to reduce MSME cost/complexity.

MSMEs: “Bookkeeping-in-a-box” to clean ledgers and free cash; pre-negotiated PoC packs (fixed price/timeline, acceptance metrics); compliance starter kit (consent, retention, safety, escalation).

Enterprises: Multi-site rollout playbooks, edge + cloud reference architectures (identity-aware RAG, policy-constrained agents), and assurance artifacts (model cards, change control, audit trails).

Outcome lens: OEE ↑, FPY ↑/DPMO ↓, MTBF ↑/MTTR ↓, faster close cycles, fewer incidents—AI that moves the P&L and passes audit.

Note – FPY — First Pass Yield; OEE — Overall Equipment Effectiveness; DPMO — Defects Per Million Opportunities; MTBF — Mean Time Between Failures (repairable systems); MTTR — Mean Time To Repair

Oracle (Consulting / Applications cloud)

Posture: AI belongs inside the workflows where finance, HR, supply chain, and service teams live. Expect talk tracks like: ground answers in your own records (RAG with policy), instrument before/after outcomes, and treat AI features as part of ERP/HCM/CX—not a sidecar chatbot. The ask from buyers: prove the Enter → Analyse → Decide gains in real workflows (FP&A forecasting lift, supplier risk scoring, HR talent match quality).

Zurich Insurance (BFSI)
Posture: AI as a force for good, scaled with governance. Think hundreds of use cases: claims triage, fraud/anomaly detection, internal knowledge bots—human-in-the-loop where stakes are high, and IoT-style prevention to reward good behaviour. The key is measurement: fewer false positives, shorter cycle times, clearer audit trails—and elevated roles, not replaced ones.

Group-IB (Cyber / Threat Intel)

Posture: AI to defend—and defend against AI. SOC copilots that summarize and enrich alerts, deepfake/phishing detection, behaviour analytics across identities and endpoints, and the emerging discipline of security of AI (prompt-injection defences, LLM gatewaying, data loss controls for AI apps). If you’re rolling out agents, involve your security team early.

Dhruva Consultants (Tax Tech Transformation)

Posture: RegTech + AI to reduce compliance cost and risk. Document AI to normalize invoices/contracts, anomaly detection for mismatches and fraud flags, and a pragmatic “bookkeeping-in-a-box” on-ramp for MSMEs. Non-negotiables: auditability, versioning, segregation of duties for anything that touches filings.

Prime Group (Labs/Certification)

Posture: Risk-scored processes—every lab step tagged with expected outputs, data access, and fallbacks. Near-term wins: smarter scheduling and test selection; long-term horizon: a Mars-ready lab by 2050 aligned with the UAE’s space ambitions. It’s operational excellence today, exploration mindset tomorrow.

Education (Heriot-Watt University, Dubai)

Posture: candid and useful: human-led pedagogy; AI-assisted admin and decision support. HWU brings talent pipelines (AI/Data Science programs), translational research, and applied robotics capacity (think Robotarium-style ecosystems). This is the repeatable talent + research engine enterprises can plug into—capstones, CPD, joint R&D—that shortens the path from idea to pilot.

WHY UAE HAS A STRUCTURAL ADVANTAGE: RAKEZ × HWU

Local context matters. RAKEZ (Ras Al Khaimah Economic Zone) is more than a location; it’s an adoption on-ramp aligned with MoIAT’s Industry 4.0 programs (ITTI/Transform 4.0). Translation: factories—especially MSMEs—get real help to deploy vision-led quality, OEE analytics, and worker-safety use cases, with policy scaffolding and incentives attached.

Pair that with Heriot-Watt University as a talent/research flywheel and you have a short, well-lit path from concept to production: execution zone + skills engine. That’s a genuine regional edge.

SUMMARY

Techsphere’s most important contribution wasn’t a prediction; it was a design pattern. ASUS gives you the enterprise substrate (AI-ready endpoints you can actually govern). Intel gives you the principles and plumbing (OpenVINO portability; CPU/GPU/NPU continuum; PC → Edge → Cloud). The panellists supplied proof patterns across industries. And the UAE context—RAKEZ for execution, HWU for talent/research—shortens the distance from idea to impact.

If “every company will be an AI company,” the winners won’t be the first to demo—they’ll be the first to standardize. Start at the endpoint, insist on portability, manage a portfolio, and make the Enter → Analyse → Decide loop measurable. That’s how the slide turns into the balance sheet.

_________________________________________________________

  • Glossary of Technical Acronyms
  • OEE — Overall Equipment Effectiveness (measures manufacturing productivity: availability × performance × quality).
  • FPY — First Pass Yield (percentage of units passing production without rework).
  • DPMO — Defects Per Million Opportunities (defect rate in Six Sigma terms).
  • MTBF — Mean Time Between Failures (average time between breakdowns of a repairable system).
  • MTTR — Mean Time To Repair (average time to repair a failed component/system).
  • AI / IT Terms
  • NPU — Neural Processing Unit (specialized chip for AI inference, optimized for low-power sustained workloads).
  • CPU — Central Processing Unit (general-purpose processor for orchestration, responsiveness).
  • GPU — Graphics Processing Unit (parallel processor for high-throughput math and AI training/inference).
  • RAG — Retrieval-Augmented Generation (technique where AI models query external knowledge bases before generating answers).
  • ERP — Enterprise Resource Planning (integrated system for core business processes like finance, supply chain, manufacturing).
  • MES — Manufacturing Execution System (software for monitoring and controlling production).
  • VDI — Virtual Desktop Infrastructure (running desktop environments on centralized servers).
  • SOC — Security Operations Center (hub for cybersecurity monitoring and response).
  • IP — Intellectual Property (protected data, models, or designs).
  • Industry & Enterprise Acronyms
  • BFSI — Banking, Financial Services, and Insurance (industry vertical).
  • FP&A — Financial Planning & Analysis (finance function for budgeting, forecasting, performance analysis).
  • HCM — Human Capital Management (HR technology and processes).
  • CX — Customer Experience (customer-facing processes and software).
  • ITTI — Industrial Technology Transformation Index (UAE Ministry of Industry and Advanced Technology initiative under Industry 4.0).

The ASUS Techsphere Forum, organized by Integrator Media, brought together C-suite leaders from diverse industry verticals to explore how evolving hardware standards are shaping the future of work. The event highlighted the growing role of AI-enabled PCs, showing how advancements in endpoint hardware can directly support business needs. By balancing industry-specific requirements with insights on hardware innovation, the forum offered executives a clear view of how these technologies can enhance productivity and deliver measurable value across the wider business community.

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Tech Features

From Display to Destination: How LED Tech Is Rewriting Outdoor Retail in the GCC

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An LED screen located in an urban setting

In the Gulf’s fast-evolving retail landscape, one thing is clear: attention is everything. With consumers moving between screens, stores, and digital channels in seconds, capturing that attention outdoors is becoming a high-stakes game. That’s why LED display technology is rapidly becoming the new storefront essential, especially when paired with interactivity.

A portrait of Zac Liang, General Manager - Gulf Area, Unilumin's Group
Zac Liang, General Manager – Gulf Area, Unilumin’s Group

Retailers across the UAE, Saudi Arabia, and Qatar are investing in large-format LED displays that do more than just promote products; they invite shoppers in. Whether it’s a vivid display on a flagship store’s exterior or an interactive screen at a luxury mall, brands are embracing motion, light, and tech to cut through the noise. Across malls in Dubai, Doha, and Riyadh, it’s no longer uncommon to see storefronts come alive with animations, responsive visuals, or even gesture-based content.

“Retailers today are competing not just for sales, but for attention, and in this region, that means making a bold visual impact,” said Zac Liang, General Manager – Gulf Area, Unilumin Group. “That’s why more brands are investing in outdoor LED displays that don’t just advertise, they engage.”

While many regions are adopting this trend, the Middle East is scaling fast. According to Grand View Research, the digital signage market in the Middle East and Africa is expected to grow from USD 1.66 million in 2024 to USD 2.80 million by 2030, with the GCC leading the charge thanks to infrastructure development, smart city strategies, and a strong mall culture. This growth is being fueled by the rising demand for immersive experiences, particularly in high-traffic outdoor retail environments.

The shift isn’t just about visuals; it’s also about interactivity. LED displays equipped with touchscreens, motion sensors, and augmented reality are turning passive browsing into active engagement. Shoppers can explore digital lookbooks, scan QR codes for real-time offers, or interact with content that responds to their presence. These experiences help bridge the online-offline divide, giving brands a powerful edge in driving foot traffic and customer engagement.

“Interactivity is no longer a luxury; it’s a necessity,” Liang added. “Our clients in the Gulf are asking for displays that do more than play content. They want screens that connect, respond, and adapt in real time.”

Unilumin has been at the forefront of this transformation. The company made waves by being the first in the LED industry to introduce MIP/COB technology for outdoor displays in China; the technology is now making its way into major Middle Eastern markets. At the 19th Hangzhou Asian Games, Unilumin deployed over 4,200 square meters of LED screens across key venues. Its outdoor COB display at West Lake, the world’s first outdoor high-brightness COB screen, not only lit up the event but became part of the visual narrative of the games.

That same energy is now flowing into the Gulf, where malls, airports, and open-air retail zones are hungry for solutions that combine aesthetics, interactivity, and performance. From arch-shaped LED portals in Dubai to street-facing media walls in Doha, the region is becoming a live canvas for digital storytelling.

The future of outdoor retail in the GCC isn’t just about visibility; it’s about visibility with purpose. Interactive LED displays give brands the power to stop shoppers mid-scroll, pull them off the sidewalk, and get them through the door. In a market where first impressions are everything, those few seconds on the street could mean the difference between a passerby and a purchase.

 

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