Quantum is no longer early in the science, But still early in the market

corporates

Apr 28

A practical view of today's quantum landscape, what's real, what's coming, and what investors, enterprises, and builders should be doing right now.

Quantum is already in your daily life

Quantum can sound abstract until you realise how many everyday technologies already rely on quantum mechanics:

MRI scanners use quantum effects in atomic-level interactions.
GPS depends on extreme time precision tied to atomic transitions.
Lasers are quantised light, photons, at work.

Quantum isn't new. What's new is that it's moving from physics labs into products, platforms, and commercial advantage.

Three phases: where we've been, where we are, what's next

Zoom out, and quantum has been evolving through three broad phases:

The past decade: Academic breakthroughs: Fundamental progress in hardware, algorithms, and theory; mostly in research institutions.
Today: Early commercial use cases: Real pilots, early deployments, and market pull; especially where quantum offers a meaningful edge.
The next decade: Scale and durable advantage: Categories solidify, winners pull ahead, and quantum capability becomes a strategic differentiator.

One important clarification: quantum is not replacing classical computing anytime soon. But it doesn't need to. It only needs to outperform classical systems on specific, high-value problems to create massive impact.

What can quantum do today?

It's easy to assume quantum value only starts when we have fault-tolerant quantum computers. In reality, value is already being created across several areas: accelerating drug discovery and battery innovation in chemistry and materials; optimising logistics, finance, portfolio construction, and supply chains; delivering gains on classical hardware right now through quantum-inspired algorithms; and enabling navigation without GPS and advanced imaging through quantum sensing.

A market reaching critical mass

The global quantum landscape is transitioning fast. In 2016, you could count quantum companies in the hundreds across private and public markets. Today, The Quantum Insider has identified over 2,000 companies operating across all quantum segments and even curated market views capture only a slice of what exists. This is no longer a niche science community. It's an emerging industry.

For investors, the full quantum computing stack, hardware, software, and applications, is still being built, with early successes at every layer. This is a classic deep technology opportunity: long-term asymmetry, category leaders still forming, and the ability to build diversified exposure across the ecosystem. This is less like picking a single winner and more like investing in multiple layers that can each become valuable.

For enterprises, the real risk is waiting too long

If you're running an enterprise, the biggest risk isn't that quantum will suddenly flip everything on its head next quarter. The bigger risk is missing the window to engage early, because in deep tech, early partnerships often shape the long-term playing field: who gets access to talent, who learns fastest, who sets standards, who builds IP, and who becomes the preferred design partner. This matters most in industries where quantum can become a lever: pharma, finance, logistics, energy, and beyond.

The generative AI wave offers a useful comparison. In early 2023, ChatGPT hit mass adoption with shocking speed, 100 million users in a matter of weeks. Many organisations weren't ready, and some are still catching up. Quantum won't play out in exactly the same way, but the pattern rhymes: a technology can move from "interesting" to "strategic" faster than most planning cycles allow for. When that happens, organisations that built early familiarity and partnerships don't scramble, they accelerate.

Where are you on the quantum readiness curve?

Here's a practical way to think about where your organisation stands and a harder question to sit with: where do you want to be in three years?

Level 0 Observing: Watching the space, potentially already behind on critical transitions like cryptography.

Level 1 Exploring: Internal education programmes, hackathons, and small pilots underway.

Level 2 Experimenting: Partnering with startups and platforms, running proofs of concepts.

Level 3 Integrating: Embedding quantum into workflows and building internal capability.

Level 4 Leading: Co-developing IP, investing, acquiring, and actively shaping the ecosystem.

Three key learnings from building a quantum ecosystem

01 Talent will be the number one bottleneck Quantum specialists are rare, and demand is rising faster than supply. Organisations that engage early become talent magnets and that advantage compounds over time.

02 Timing determines winners and losers Quantum is not a switch you flip, it's a gradual capability curve. Early movers learn faster, build standards, and attract partners. Late movers pay more for the same capability and lose strategic options.

03 Quantum creates advantage in performance and trust The upside isn't only faster computation. Better models drive better decisions. Quantum-secure communication is becoming a baseline expectation for protecting sensitive data.

What enterprises should do now

Accept uncertainty as a strategic opportunity. Run a sandbox approach with realistic testing, but without forcing immediate ROI. The goal is building option value through learning.

Build informed leadership. Sponsorship and prioritisation require leaders who understand the landscape. informed leadership directly impacts your talent pipeline.
Collaborate with startups and universities. Open innovation and external expertise can function as an extension of your R&D capability, without the overhead of building it entirely in-house.