Key Takeaways

  • IBM created Anderon to supply silicon wafers for quantum processors and broaden its commercial footprint
  • The company is aligning its investment strategy with its 2029 Starling fault-tolerant system goal
  • Industry analysts see IBM’s move as part of a broader shift toward scalable quantum manufacturing and ecosystem readiness

IBM’s decision to form Anderon, a new independent subsidiary focused on producing silicon wafers for quantum-computing processors, marks a shift toward scalable component manufacturing. After a decade of what the Wall Street Journal described as building, testing and improving quantum technology, IBM is pushing into the manufacturing layer that could support large scale systems rather than one-off research devices.

This move is not taking place in isolation. IBM already operates the largest fleet of quantum computers available via its IBM Quantum Platform, all with at least 127 qubits. The company’s published roadmap details Starling, a targeted fault-tolerant system expected to deliver 100 million quantum gates on 200 logical qubits by 2029. For business buyers that tend to watch roadmaps more closely than theoretical claims, that milestone offers a reference point for planning.

But Anderon changes the equation. By establishing a dedicated foundry seeded with a $1 billion investment from the Trump administration and another $1 billion from IBM, the company plans to manufacture the silicon wafers essential for quantum-processor fabrication. Anderon will sell wafers to other quantum-computing companies while supplying IBM’s own development pipeline, offering both revenue potential and a secure supply chain. Some analysts at publications like the Wall Street Journal have argued this type of vertical integration can help stabilize a still-volatile hardware landscape.

The Boston Consulting Group has projected a $90 billion to $170 billion quantum-computing provider market by 2040. Because IBM also committed an additional $9 billion over five years to advance its quest to build a quantum-mechanics-powered computer capable for widespread use, as noted in Barron’s, the Anderon announcement fits into a broader capacity-building effort.

Although the wafer business may sound technical, it reflects a real manufacturing bottleneck. Scaling from chips like the 133-qubit Heron, which achieved error rates three times lower than previous generations according to arXiv/IBM research, to logical qubit systems will require tighter controls over fabrication, packaging and yield. Error correction schemes consume thousands of physical qubits for each logical one, so any incremental improvement in physical qubits tends to compound at higher architectures. That is one reason companies have moved from pure qubit count races to quality metrics.

There is also a readiness gap to consider. IBM’s own Enterprise in 2030 study found that 59% of executives expect quantum-enabled AI to transform their industry by 2030, while only 27% expect their organizations to be using quantum computing. It raises a question: are enterprises preparing for a technology they believe will matter, or is a mismatch forming between expectations and capability? McKinsey, in its analysis of emerging technologies, has noted that transformative fields often see early hype cycles fade before infrastructure stabilizes. That framing tends to match the quantum sector’s current moment.

The role of standards bodies such as NIST is becoming more pronounced as quantum systems move toward commercial use. NIST’s post-quantum cryptography program is guiding how classical and quantum systems may coexist securely. While not directly tied to IBM’s manufacturing move, these standards shape the environment into which IBM’s hardware will ship. Developers are also gravitating toward open source tools like Qiskit because they provide continuity across evolving hardware generations.

Industry watchers such as IEEE have highlighted that superconducting qubit platforms, where IBM, Google and Rigetti all operate, are progressing on both coherence and control. IEEE’s work often focuses on engineering constraints, which makes it useful for understanding why wafer manufacturing capacity could influence future roadmaps. If yield improvements reduce variability in chip performance, companies can run more experiments and refine control electronics more quickly.

What Anderon represents is a shift in IBM’s involvement in the quantum supply chain. Instead of relying solely on internal fabrication or third-party partnerships, IBM is effectively setting up a commercial foundry that supports its own roadmap while participating in a broader ecosystem. Could that mean more collaboration with universities or start-ups? Possibly. The company already works with the University of California, Berkeley on scalable quantum simulations, and easier access to wafers might lower a barrier for academic or industrial groups that want custom chip designs.

That said, scaling hardware is only one part of the story. Enterprises increasingly want clarity on what future quantum workloads could look like. Some organizations are experimenting with optimization tasks, chemistry simulations or machine learning enhancements. Yet many CIOs remain cautious, particularly given the long timelines involved. Investments like Anderon address this caution by signaling that hardware advances are tied to predictable manufacturing processes.

IBM’s plans extend beyond Starling, with a more powerful quantum computer mentioned for 2033. With the company allocating an additional $9 billion over five years to reach fault tolerance, the manufacturing strategy is set up to run alongside the technical one. Whether that timing works in practice remains to be seen, but for now the shift from research to business scaling is starting to take clearer form.

The quantum industry often moves in complex cycles, sometimes quietly despite the high stakes. IBM’s establishment of Anderon represents a strategic infrastructure bet ahead of full commercial market arrival. For many enterprise technology leaders watching from the sidelines, this kind of move can help clarify which vendors are prepared to transition from experimental systems to sustained operational capacity.