Wall Street is starting to put real numbers behind one of the most speculative corners of technology. Morgan Stanley says quantum computing could grow into a roughly $100 billion-a-year industry by 2040, up from an estimated $10 billion in 2030, and it is flagging 2027 as the sector's "proof year" — the point at which key technical milestones should either be met or missed.
The bank also named Quantinuum as its top pick in the space, according to the research note. The call matters because quantum computing has spent years as a promise rather than a business, and investors have struggled to separate genuine engineering progress from marketing.
What quantum computing actually is
Classical computers store information as bits — zeros or ones. Quantum computers use quantum bits, or qubits, which can exist in combinations of states at once. That property lets them explore many possible answers simultaneously, which is why they are expected to eventually crack certain problems that would take today's machines impractically long to solve.
The catch is errors. Qubits are fragile and prone to losing their state, so mistakes pile up during longer calculations. The industry's central goal is a fault-tolerant machine — one that can correct its own errors on the fly and run long, complex computations reliably. Until that exists, quantum computers remain largely experimental tools.
Morgan Stanley's thesis rests on that milestone. If fault tolerance arrives, spending on quantum hardware, software and services could scale sharply. If it doesn't, the market stays small.
Why 2027 is the year to watch
Labeling 2027 a "proof year" is a way of saying the sector's claims will face a hard deadline. Companies in this position typically promise rising qubit counts, improving error rates and early commercial use cases. Investors should expect a steady stream of technical announcements between now and then — and should treat them with care, because the gap between a laboratory result and a sellable product is wide.
Quantinuum, the bank's top pick, is one of several private players racing toward fault tolerance alongside larger technology companies and a handful of listed pure-plays. Being named a top pick by a major bank can help a company's fundraising and profile, but it is not a guarantee of commercial success.
The broader backdrop is a market that has already rewarded anything tied to advanced computing. The same investor enthusiasm that lifted artificial intelligence has spilled into quantum, and companies in this position often see their valuations move on sentiment as much as on revenue. That cuts both ways.
What it means for investors
For everyday investors, the practical takeaway is that quantum computing is a long-duration bet with a binary feel. The bull case is enormous: a market that grows from roughly $10 billion to more than $100 billion a year within a decade would create substantial value. The bear case is equally clear — the technology may take longer than expected, or the profits may accrue to a few large incumbents rather than to today's speculative names.
There are a few ways to think about exposure:
- Pure-plays offer the most direct upside but carry the most risk, since many have limited revenue today.
- Diversified technology giants give exposure to quantum research without betting the whole thesis on one machine.
- Adjacent suppliers — companies selling the lasers, cryogenics and control systems quantum machines need — can benefit regardless of which platform wins.
It is also worth remembering how analyst calls work. A price target or top pick reflects one team's model and assumptions, not a certainty. Morgan Stanley's own research has been in the spotlight recently, including its quarterly results driven by trading, a reminder that banks publish research and run businesses at the same time.
Investors watching this theme should focus on a few concrete markers: progress toward error correction, the number of logical (error-corrected) qubits rather than raw qubits, and any real customer contracts. Headlines about qubit counts alone can be misleading.
The bottom line
Morgan Stanley is making a structured, milestone-based bet: quantum computing becomes a $100 billion market by 2040, and 2027 is when the industry has to show its work. That framing is useful because it gives investors something to track rather than a vague promise. It also makes clear that the outcome hinges on a single technical hurdle — fault tolerance — that no one has cleared yet.
For now, the story is about potential, not profits. Anyone considering the sector should size it as a speculative allocation and expect volatility, because the difference between a breakthrough and a delay is likely to move these stocks sharply in both directions.
