Accelerating the Commercialization of Quantum Computing: 2025 Global Market Trends and Key Player Analysis
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A New Turning Point in Quantum Computing Commercialization
In 2025, the quantum computing industry is undergoing a significant transition from laboratory environments to commercial applications. According to a recent report by McKinsey & Company, the global quantum computing market is expected to expand from $1.5 billion in 2025 to $10.7 billion by 2030, with a CAGR of 32.1%. This rapid growth is driven by substantial investments and innovations from global tech giants like IBM in New York, Google in Mountain View, California, and Microsoft in Redmond, Washington.
Particularly, the commercial launch of IBM’s 1,121-qubit Condor processor in the first half of 2025 has caused a significant stir in the industry. This processor offers a 2.6 times performance improvement over IBM’s previous 433-qubit Osprey processor, achieving over 1,000 times faster processing speeds in complex optimization problems and machine learning algorithms compared to traditional supercomputers. The number of global companies participating in the IBM Quantum Network increased by 70%, from 200 in 2024 to 340 as of November 2025, with financial services companies accounting for 32% and pharmaceutical and chemical companies for 28%.
Google’s Quantum AI division also intensified the competitive landscape by unveiling the next-generation Willow chip in October 2025. Although the Willow chip, at 70 qubits, is smaller than IBM’s Condor, it has made groundbreaking advancements in error correction capabilities. According to data released by Google, Willow has reduced quantum error rates by over 90% compared to previous levels, marking a crucial milestone for developing practical quantum computing applications. The monthly active users of quantum computing services provided through Google Cloud have surpassed 12,000, representing a 180% increase from the previous year.
Microsoft is taking a differentiated approach through its Azure Quantum platform. Rather than developing its own quantum hardware, the company focuses on building a partnership-based ecosystem, collaborating with specialized quantum computing firms like IonQ, Quantinuum, and Rigetti to offer various quantum technologies as cloud services. In 2025, Azure Quantum’s monthly transaction volume reached $2.5 million, a 320% increase from the previous year. Demand is surging particularly in financial modeling and cryptography, with major Wall Street investment banks like JP Morgan Chase and Goldman Sachs actively adopting quantum computing for portfolio optimization and risk analysis.
The Rapid Rise of the Asian Market and Korea’s Strategic Position
The Asia-Pacific region’s quantum computing market currently accounts for 27% of the global market in 2025 and is expected to expand to 35% by 2030. China has announced a national investment of $15 billion in quantum computing research and development, with notable achievements centered around the Chinese Academy of Sciences in Beijing. Particularly, Chinese quantum computing startup Origin Quantum declared its official entry into the global competition by unveiling its self-developed 72-qubit processor ‘Wuyuan’ in September 2025.
Japan has launched Asia’s first commercial quantum computing service through a collaboration between RIKEN in Tokyo and IBM, with major manufacturers like Toyota, Sony, and Mitsubishi leveraging quantum technology for material development and process optimization. The Japanese government announced plans to invest a total of $3.4 billion in the quantum technology sector from 2025 to 2030, with 60% allocated to joint research and development with private companies.
Korea’s quantum computing ecosystem is also rapidly growing. Samsung Electronics established a dedicated division for developing quantum computing-specific semiconductors in early 2025 and set up a quantum research lab at its Hwaseong campus in Gyeonggi Province. Samsung’s investment in quantum computing research reached $800 million in 2025, a 150% increase from the previous year. Samsung is focusing on developing next-generation quantum processors utilizing quantum dot technology, aiming to unveil a prototype in the first half of 2026. The Korean government also announced plans to invest $1.2 billion in the K-Quantum Computing Project by 2030, with 40% allocated to supporting private companies.
The domestic quantum computing startup ecosystem is also active. Seoul-based quantum computing specialist PlanckQ secured a Series A investment of 45 billion won in 2025, marking the largest investment in a domestic quantum technology startup to date. PlanckQ is focusing on developing superconducting qubit-based quantum processors, aiming to launch a 20-qubit commercial system by 2026. Additionally, Quriosity, founded by researchers from KAIST, specializes in developing quantum software platforms and is working on quantum algorithm optimization projects with major domestic companies like Samsung, LG, and SK.
The practical applications of quantum computing are also rapidly expanding. In the pharmaceutical industry, there is an increasing use of quantum computing for molecular simulations and protein structure predictions in drug development processes. Roche in Basel, Switzerland, announced that it reduced the screening time for anticancer drug candidates from six months to two weeks through the IBM Quantum Network, resulting in a 30% reduction in annual R&D costs. Bayer in Germany also reported achieving 40% faster results in its agricultural chemical development project using quantum computing compared to previous methods.
Technical Challenges and Commercialization Prospects
The most significant technical challenges in the commercialization of quantum computing remain quantum error correction and qubit stability. The coherence time of qubits in currently commercialized quantum computers averages around 100 microseconds, which is still too short for executing complex algorithms. Even IBM’s latest Condor processor has a coherence time of only 150 microseconds, indicating that further technological advancements are needed to achieve practical quantum advantage. However, industry experts predict that coherence times could improve to around 1 millisecond by 2026.
The operational costs of quantum computing hardware also pose a major barrier to commercialization. Most current quantum computers need to operate in ultra-cold environments close to absolute zero, with the annual operating cost for dilution refrigerators alone reaching $500,000. Intel is developing silicon spin qubit technology to address this issue, which is expected to be compatible with existing semiconductor manufacturing processes, potentially reducing production costs by over 90%. Intel’s silicon quantum dot-based qubits currently stand at 12 qubits as of 2025, with plans to expand to 1,000 qubits by 2027.
The quantum computing software ecosystem is also rapidly advancing. The monthly download count for the open-source quantum computing framework Qiskit reached 2.8 million as of November 2025, a 190% increase from the previous year. Various quantum programming tools, such as Google’s Cirq and Microsoft’s Q#, are actively used in the developer community. Particularly, the quantum machine learning library PennyLane recorded 450,000 downloads in the first half of 2025 alone and is widely utilized in financial modeling and optimization problem-solving.
Interest in quantum computing in the investment market is also continuously increasing. The global venture investment in the quantum technology sector reached $3.4 billion in 2025, an 85% increase from the previous year. Investments in quantum software and applications are surging, accounting for 45% of total investments. Rigetti Computing in Berkeley, California, raised $150 million in a Series D round in September 2025, and IonQ in College Park, Maryland, has a market capitalization of $2.8 billion following its NASDAQ listing.
The commercialization of quantum computing is expected to progress in stages over the next five years. Practical quantum advantage is anticipated to be achieved in specific optimization problems and simulation fields by 2026, with full-scale commercial services in encryption and financial modeling expected to begin around 2028. By the 2030s, quantum computing is projected to become a core technology in more extensive fields such as artificial intelligence, drug development, and climate modeling. During this development process, the technological competition among leading companies like IBM, Google, and Microsoft will intensify, and the roles of Asian countries, including Korea, are expected to expand.
This analysis is based on publicly available market data and industry reports. Additional due diligence and expert consultation are necessary for investment decisions. The commercialization timeline and market outlook for quantum computing may vary depending on the pace of technological advancement and changes in regulatory environments.
