양자 컴퓨팅 시장 규모, 점유율, 성장 및 세계 업계 분석 : 유형 및 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of quantum computing Market

The global quantum computing market was valued at USD 1.53 billion in 2025 and is projected to grow to USD 2.04 billion in 2026, reaching USD 18.33 billion by 2034, exhibiting a remarkable CAGR of 31.60% during the forecast period. North America dominated the market with a 43.60% share in 2025, driven by early adoption of advanced computing technologies and strong investments in research and development.

Quantum computing, a subfield of computer science based on quantum mechanics, enables faster and more complex problem-solving compared to classical computing. It is widely used in applications such as machine learning, optimization, and data analysis, making it a transformative technology across industries.

Impact of Generative AI

The integration of generative AI with quantum computing is significantly accelerating market growth. Quantum systems can process large datasets at high speed, enhancing AI-driven insights and predictive modeling. This synergy enables businesses to optimize operations, simulate complex systems, and improve decision-making accuracy.

For instance, collaborations such as IBM Corporation with Moderna highlight how quantum computing is being used to advance drug discovery and scientific research. Such developments indicate strong future potential for hybrid AI-quantum ecosystems.

Market Trends

A key trend shaping the market is the rise in patent filings and technological innovations. Companies are actively investing in quantum technologies to gain a competitive edge. For example, Amazon has filed patents related to quantum computing integration with edge devices.

Additionally, increasing investments in quantum hardware and software development are strengthening the overall ecosystem. The emergence of cloud-based quantum platforms is also making the technology more accessible to enterprises and researchers globally.

Market Growth Drivers

One of the major growth drivers is the increasing government investments in quantum technologies. Governments across the U.S., U.K., China, and Europe are funding quantum research to enhance national security, scientific advancement, and industrial competitiveness.

For instance, the U.K. government announced investments exceeding USD 48 million in quantum computing initiatives. Similarly, China's public spending in quantum research significantly surpasses other nations, indicating strong global competition.

Moreover, the expanding application of quantum computing in sectors such as healthcare, BFSI, and energy is driving demand. The technology enables faster simulations, improved risk analysis, and enhanced computational efficiency.

Restraining Factors

Despite strong growth, the market faces challenges such as a shortage of skilled professionals. Quantum computing requires expertise in physics, mathematics, and advanced computing, which limits its adoption.

Additionally, the complexity of quantum systems and high development costs act as barriers for widespread commercialization. The limited availability of trained talent is expected to hinder market expansion in the near term.

Market Segmentation Analysis

By Component:

The hardware segment held a dominant share due to advancements in quantum processors. However, the software segment is expected to grow at the fastest rate, driven by increasing demand for quantum algorithms and applications.

By Deployment:

The cloud segment is projected to lead the market, holding 27.12% share in 2026, due to flexibility and easy access to quantum computing resources. On-premise systems are less preferred due to high infrastructure requirements.

By Application:

The machine learning segment is expected to dominate with a 24.40% share in 2026, supported by innovations in AI and data processing. Other key applications include optimization, financial modeling, and biomedical simulations.

By End-user:

The BFSI sector is anticipated to hold the largest share (26.11% in 2026) due to its need for complex financial calculations and risk analysis. Meanwhile, the healthcare sector is projected to grow at the highest CAGR.

Regional Insights

North America leads the market due to strong technological infrastructure and early adoption. The U.S. continues to dominate with increasing investments and presence of major players.

Europe is witnessing steady growth driven by startups and government initiatives in quantum research. Countries such as the U.K., Germany, and France are key contributors.

Asia Pacific is expected to register the highest growth rate due to rising investments in countries like China, Japan, and India. Rapid industrialization and adoption of advanced technologies are supporting regional expansion.

Key Industry Players

Major companies operating in the market include:

• IBM Corporation
• Microsoft Corporation
• Intel Corporation
• Google LLC
• D-Wave Systems Inc.

These players are focusing on partnerships, innovation, and global expansion to strengthen their market position.

Key Industry Developments

Recent developments include collaborations and product innovations aimed at advancing quantum capabilities. For example, partnerships between technology providers and research institutions are enabling hybrid quantum-classical solutions. Companies are also launching new processors and cloud-based platforms to expand accessibility.

Conclusion

In conclusion, the quantum computing market is poised for exponential growth, increasing from USD 1.53 billion in 2025 to USD 18.33 billion by 2034. The rapid adoption of advanced technologies, rising government investments, and integration with AI are key factors driving market expansion.

While challenges such as skill shortages and high costs remain, continuous innovation and strategic collaborations are expected to overcome these barriers. As industries increasingly rely on high-performance computing, quantum computing will play a crucial role in shaping the future of technology, making it one of the most transformative markets in the coming decade.

Segmentation By Component

• Hardware
• Software

By Deployment

• On-premise
• Cloud

By Application

• Machine Learning
• Optimization
• Biomedical Simulations
• Financial Services
• Electronic Material Discovery
• Others (Traffic Optimization, Weather Forecasting, and Others)

By End-user

• Healthcare
• Banking, Financial Services and Insurance (BFSI)
• Automotive
• Energy and Utilities
• Chemical
• Manufacturing
• Others (Transportation, Logistics, and Others)

By Region

• North America (By Component, Deployment, Application, End-user, and Country)
  • U.S. (By End-user)
  • Canada (By End-user)
  • Mexico (By End-user)
• Europe (By Component, Deployment, Application, End-user, and Country)
  • U.K. (By End-user)
  • Germany (By End-user)
  • France (By End-user)
  • Italy (By End-user)
  • Spain (By End-user)
  • Russia (By End-user)
  • Benelux (By End-user)
  • Nordics (By End-user)
  • Rest of Europe
• Asia Pacific (By Component, Deployment, Application, End-user, and Country)
  • China (By End-user)
  • India (By End-user)
  • Japan (By End-user)
  • South Korea (By End-user)
  • ASEAN (By End-user)
  • Oceania (By End-user)
  • Rest of Asia Pacific
• Middle East & Africa (By Component, Deployment, Application, End-user, and Country)
  • Turkey (By End-user)
  • Israel (By End-user)
  • GCC (By End-user)
  • North Africa (By End-user)
  • South Africa (By End-user)
  • Rest of the Middle East & Africa
• South America (By Component, Deployment, Application, End-user, and Country)
  • Brazil (By End-user)
  • Argentina (By End-user)
  • Rest of South America

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Quantum Computing Key Players Market Share/Ranking, 2026

5. Global Quantum Computing Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Component (USD)
  • 5.2.1. Hardware
  • 5.2.2. Software
• 5.3. By Deployment (USD)
  • 5.3.1. On-Premise
  • 5.3.2. Cloud-Based
• 5.4. By Application (USD)
  • 5.4.1. Machine Learning
  • 5.4.2. Optimization
  • 5.4.3. Biomedical Simulations
  • 5.4.4. Financial Services
  • 5.4.5. Electronic Material Discovery
  • 5.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
• 5.5. By End User (USD)
  • 5.5.1. Healthcare
  • 5.5.2. Banking, Financial Services and Insurance (BFSI)
  • 5.5.3. Automotive
  • 5.5.4. Energy and Utilities
  • 5.5.5. Chemical
  • 5.5.6. Manufacturing
  • 5.5.7. Others (Transportation, Logistics, etc.)
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. Europe
  • 5.6.3. Asia Pacific
  • 5.6.4. Middle East & Africa
  • 5.6.5. South America

6. North America Quantum Computing Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Component (USD)
  • 6.2.1. Hardware
  • 6.2.2. Software
• 6.3. By Deployment (USD)
  • 6.3.1. On-Premise
  • 6.3.2. Cloud-Based
• 6.4. By Application (USD)
  • 6.4.1. Machine Learning
  • 6.4.2. Optimization
  • 6.4.3. Biomedical Simulations
  • 6.4.4. Financial Services
  • 6.4.5. Electronic Material Discovery
  • 6.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
• 6.5. By End User (USD)
  • 6.5.1. Healthcare
  • 6.5.2. Banking, Financial Services and Insurance (BFSI)
  • 6.5.3. Automotive
  • 6.5.4. Energy and Utilities
  • 6.5.5. Chemical
  • 6.5.6. Manufacturing
  • 6.5.7. Others (Transportation, Logistics, etc.)
• 6.6. By Country (USD)
  • 6.6.1. United States
    • 6.6.1.1. By End User
  • 6.6.2. Canada
    • 6.6.2.1. By End User
  • 6.6.3. Mexico
    • 6.6.3.1. By End User

7. Europe Quantum Computing Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Component (USD)
  • 7.2.1. Hardware
  • 7.2.2. Software
• 7.3. By Deployment (USD)
  • 7.3.1. On-Premise
  • 7.3.2. Cloud-Based
• 7.4. By Application (USD)
  • 7.4.1. Machine Learning
  • 7.4.2. Optimization
  • 7.4.3. Biomedical Simulations
  • 7.4.4. Financial Services
  • 7.4.5. Electronic Material Discovery
  • 7.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
• 7.5. By End User (USD)
  • 7.5.1. Healthcare
  • 7.5.2. Banking, Financial Services and Insurance (BFSI)
  • 7.5.3. Automotive
  • 7.5.4. Energy and Utilities
  • 7.5.5. Chemical
  • 7.5.6. Manufacturing
  • 7.5.7. Others (Transportation, Logistics, etc.)
• 7.6. By Country (USD)
  • 7.6.1. United Kingdom
    • 7.6.1.1. By End User
  • 7.6.2. Germany
    • 7.6.2.1. By End User
  • 7.6.3. France
    • 7.6.3.1. By End User
  • 7.6.4. Italy
    • 7.6.4.1. By End User
  • 7.6.5. Spain
    • 7.6.5.1. By End User
  • 7.6.6. Russia
    • 7.6.6.1. By End User
  • 7.6.7. Benelux
    • 7.6.7.1. By End User
  • 7.6.8. Nordics
    • 7.6.8.1. By End User
  • 7.6.9. Rest of Europe

8. Asia Pacific Quantum Computing Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Component (USD)
  • 8.2.1. Hardware
  • 8.2.2. Software
• 8.3. By Deployment (USD)
  • 8.3.1. On-Premise
  • 8.3.2. Cloud-Based
• 8.4. By Application (USD)
  • 8.4.1. Machine Learning
  • 8.4.2. Optimization
  • 8.4.3. Biomedical Simulations
  • 8.4.4. Financial Services
  • 8.4.5. Electronic Material Discovery
  • 8.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
• 8.5. By End User (USD)
  • 8.5.1. Healthcare
  • 8.5.2. Banking, Financial Services and Insurance (BFSI)
  • 8.5.3. Automotive
  • 8.5.4. Energy and Utilities
  • 8.5.5. Chemical
  • 8.5.6. Manufacturing
  • 8.5.7. Others (Transportation, Logistics, etc.)
• 8.6. By Country (USD)
  • 8.6.1. China
    • 8.6.1.1. By End User
  • 8.6.2. India
    • 8.6.2.1. By End User
  • 8.6.3. Japan
    • 8.6.3.1. By End User
  • 8.6.4. South Korea
    • 8.6.4.1. By End User
  • 8.6.5. ASEAN
    • 8.6.5.1. By End User
  • 8.6.6. Oceania
    • 8.6.6.1. By End User
  • 8.6.7. Rest of Asia Pacific

9. Middle East & Africa Quantum Computing Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Component (USD)
  • 9.2.1. Hardware
  • 9.2.2. Software
• 9.3. By Deployment (USD)
  • 9.3.1. On-Premise
  • 9.3.2. Cloud-Based
• 9.4. By Application (USD)
  • 9.4.1. Machine Learning
  • 9.4.2. Optimization
  • 9.4.3. Biomedical Simulations
  • 9.4.4. Financial Services
  • 9.4.5. Electronic Material Discovery
  • 9.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
• 9.5. By End User (USD)
  • 9.5.1. Healthcare
  • 9.5.2. Banking, Financial Services and Insurance (BFSI)
  • 9.5.3. Automotive
  • 9.5.4. Energy and Utilities
  • 9.5.5. Chemical
  • 9.5.6. Manufacturing
  • 9.5.7. Others (Transportation, Logistics, etc.)
• 9.6. By Country (USD)
  • 9.6.1. Turkey
    • 9.6.1.1. By End User
  • 9.6.2. Israel
    • 9.6.2.1. By End User
  • 9.6.3. GCC
    • 9.6.3.1. By End User
  • 9.6.4. North Africa
    • 9.6.4.1. By End User
  • 9.6.5. South Africa
    • 9.6.5.1. By End User
  • 9.6.6. Rest of MEA

10. South America Quantum Computing Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Component (USD)
  • 10.2.1. Hardware
  • 10.2.2. Software
• 10.3. By Deployment (USD)
  • 10.3.1. On-Premise
  • 10.3.2. Cloud-Based
• 10.4. By Application (USD)
  • 10.4.1. Machine Learning
  • 10.4.2. Optimization
  • 10.4.3. Biomedical Simulations
  • 10.4.4. Financial Services
  • 10.4.5. Electronic Material Discovery
  • 10.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
• 10.5. By End User (USD)
  • 10.5.1. Healthcare
  • 10.5.2. Banking, Financial Services and Insurance (BFSI)
  • 10.5.3. Automotive
  • 10.5.4. Energy and Utilities
  • 10.5.5. Chemical
  • 10.5.6. Manufacturing
  • 10.5.7. Others (Transportation, Logistics, etc.)
• 10.6. By Country (USD)
  • 10.6.1. Brazil
    • 10.6.1.1. By End User
  • 10.6.2. Argentina
    • 10.6.2.1. By End User
  • 10.6.3. Rest of Latin America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. IBM Corporation
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. D-Wave Systems Inc.
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Microsoft Corporation
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Intel Corporation
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Rigetti & Co, Inc.
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Google LLC
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. QC Ware
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Quantinuum Ltd.
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Riverlane
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. IonQ
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways