> **来源：[研报客](https://pc.yanbaoke.cn)** # QED·C 5th Annual Global QC Market Survey Summary ## Core Content and Key Findings The 5th Annual Global QC Market Survey by Hyperion Research, LLC provides an overview of the current state and future projections of the quantum computing (QC) market, highlighting continued growth, evolving partnerships, and concerns about a potential "quantum winter." --- ## Market Growth and Revenue Projections - The global QC market is estimated to be worth **\$1.07 billion in 2024**, with a projected **average annual growth rate of 27%**, leading to a market value of **\$2.2 billion by 2027**. - **On-premises activities** are expected to account for **46% of the QC market in 2027**, up from **31% in 2026**. - **Cloud and on-premises revenues are expected to near parity** in 2027. - The **exponential growth curve** is beginning to dominate the market's expansion. --- ## Revenue Trends and Expectations - **41.5%** of QC suppliers expect revenue to increase by **more than 25% in 2025**, up from **36.6% in 2024**. - **18.3%** expect gains between **11% and 25%**, almost double from **9.8% in 2024**. - **Only 9.8%** of firms expect flat or nearly the same revenues in 2025, down from **25.6% in 2024**. - **No expected revenue decreases** in 2025, indicating strong market confidence. --- ## Funding and Financial Resources - **Government-provided R&D funding** is the most significant financial resource, with **52.4%** of companies relying on it, contributing to **39.4% of total funding**. - **Venture capital (VC) funding** is the second-largest source, with **45.1%** of companies receiving it, contributing to **64.8% of total funding**. - **Internal R&D budgets** support **35.4%** of companies, contributing to **65.0% of total funding**. - **Commercial user payments** account for **24.4%** of companies, contributing to **41.0% of total funding**. - **Stock offerings and loans** are not widely used, with **2.4%** of companies using stock offerings and **3.7%** using loans. --- ## Partnerships and Collaborations - **Partnerships** are a fundamental activity in the QC supplier sector. - **83%** of companies have commercial partnerships with at least one other QC supplier. - **74%** have partnerships with government research organizations. - **71%** have partnerships with QC end users. - The **top reasons** for partnerships include **access to technical expertise**, **larger customer bases**, and **new technologies**. - **Access to classical IT technology** is not a priority for government partnerships. --- ## Market Segments and Algorithms - **QC hardware** is expected to account for **30% of the market** in 2027, with **cloud-based QC access** at **14.4%** and **on-premises QC hardware** at **24.9%**. - **Modeling/simulation** remains the **top algorithm by revenue**, with **19%** of the market share. - **Hybrid QC algorithms**, **optimization**, and **AI (ML, DL, Gen-AI)** are also significant, with **15%**, **15%**, and **14%** respectively. - **Cybersecurity and Monte Carlo processes** are also noted, but with smaller market shares. --- ## End User Sectors - The **most promising end user sectors** in 2027 are: - **Chemicals/Chemistry** (excluding pharmaceuticals): **48.7%** - **Quantum R&D** (QC, QIS): **47.8%** - **Pharmaceuticals**: **34.8%** - **Finance** drops from **30% in 2023** to **21% in 2025**. - **Government labs** and **academic institutions** are also significant sectors. - The **Chemicals/Chemistry** sector is highlighted as a major driver of QC adoption due to its reliance on modeling and simulation. --- ## End User Motivations - **Implementing new algorithms** not possible on classical systems is the top motivation for QC adoption: **56.5%**. - **Addressing concerns about future classical performance** is also a major driver: **51.3%**. - **Exploring QC use cases** and **developing in-house familiarity** with QC skills are also key motivations, with **47.0%** and **45.2%** respectively. - **Real-time compute opportunities** and **cost reduction** are also important, with **23.5%** and **14.8%** of respondents prioritizing them. --- ## Utility-Class QC and Market Concerns - **52%** of respondents expect utility-class QC to be available within **2-5 years**. - **24.8%** expect it to be available in **5 years or more**. - **8%** believe utility-class QC is already available or will be available in the next year. - **Almost half** of respondents (49%) believe a **quantum winter** is possible, defined as a **>25% decline in QC R&D investment lasting >3 years**. - **The likelihood of a quantum winter** has increased, with **24%** of respondents now seeing a **very high chance**, up from **14%** in 2024. --- ## QC Distractions and LLMs - **Large language models (LLMs)** like ChatGPT and BERT are seen as **near-term competitors** for QC end user interest by **47%** of respondents, up from **42%** in 2024. - **LLMs** are perceived as a potential distraction, impacting the market's focus and adoption rates. --- ## Demographics and Market Concentration - **80%** of respondent organizations are **private**, with **20%** public. - **Only ~1%** of private firms plan to go public in the next two years. - **50%** of companies have **R&D or manufacturing facilities** outside their headquarters. - **Geographic distribution** is dominated by **North America (53.6%)** and **Europe (24.4%)**. - **QC applications software** and **hardware** are the most common main products/services, with **39.0%** and **41.4%** respectively. --- ## Summary of Key Trends - **Growth remains robust**, with a projected **27% CAGR**. - **Partnerships** are crucial for growth, especially with **government research** and **end users**. - **Modeling/simulation** is the top algorithm by revenue, but **hybrid algorithms** are gaining traction. - **On-premises systems** are expected to grow significantly. - **LLMs** and **gen-AI** are seen as potential competitors. - **Concerns about a quantum winter** are rising, indicating market uncertainty. - **Most companies** are still in the **exploration phase** and **not yet focused on end use deployment**.