세계의 양자 AI 시장(2022-2032년) : 시장 규모 분석(컴포넌트별, 전개 모델별, 용도별, 지역별)과 예측

The Global Quantum AI Market was valued at approximately USD 256 million in 2023 and is projected to surge at an impressive CAGR of 34.4% over the forecast period 2024-2032. As the convergence of quantum computing and artificial intelligence gains momentum, industries are increasingly leveraging Quantum AI to solve complex computational problems that were once beyond classical computing capabilities. From drug discovery and financial modeling to cybersecurity and materials science, the market is witnessing an upsurge in investments aimed at harnessing quantum-powered AI to drive innovation. The potential of quantum machine learning (QML) to exponentially enhance pattern recognition and optimization algorithms is particularly fueling demand across industries such as healthcare, finance, and defense.

The rapid strides in quantum cloud computing have further accelerated the commercial adoption of Quantum AI solutions, enabling organizations to access quantum-powered computing resources without the need for extensive infrastructure investments. Key market players are actively engaged in developing error-correcting quantum algorithms, hybrid AI-quantum systems, and quantum cryptographic techniques to ensure data security in an era of escalating cyber threats. However, despite these advancements, challenges such as high deployment costs, quantum decoherence, and a shortage of skilled quantum professionals continue to hinder mass adoption.

From a regional perspective, North America dominates the Quantum AI market, driven by heavy investments from tech giants, venture capital firms, and government-backed quantum initiatives. The European market is also witnessing significant expansion, fueled by the European Quantum Technologies Flagship Program, which aims to integrate quantum computing with AI-driven applications. Meanwhile, Asia Pacific is anticipated to register the fastest growth rate, with countries such as China, Japan, and India making substantial investments in quantum research, quantum supremacy projects, and enterprise-level AI adoption. The Middle East & Africa and Latin America are gradually emerging as potential markets, spurred by government initiatives and digital transformation efforts.

The competitive landscape of the Global Quantum AI Market is marked by intensive research & development, strategic alliances, and breakthrough innovations in quantum hardware and software. Market leaders are prioritizing scalability, error mitigation, and hybrid computing models to bridge the gap between classical and quantum computing. As enterprises move toward quantum-powered AI for real-time decision-making and predictive analytics, the demand for high-performance quantum AI solutions is poised to redefine the technological landscape.

Major Market Players Included in This Report:

• IBM Corporation
• Google LLC
• Microsoft Corporation
• Amazon Web Services, Inc.
• D-Wave Systems Inc.
• Intel Corporation
• Rigetti Computing
• IonQ, Inc.
• Atos Quantum
• Xanadu Quantum Technologies Inc.
• Zapata Computing
• Cambridge Quantum Computing
• QC Ware Corp.
• Alpine Quantum Technologies GmbH
• Quantum Circuits, Inc.

The Detailed Segments and Sub-Segments of the Market Are Explained Below:

By Component:

• Software
• Hardware
• Services

By Deployment Model:

• Cloud-Based
• On-Premises

By Application:

• Machine Learning & Optimization
• Quantum Security & Cryptography
• Simulation & Modeling

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific
• Latin America
• Brazil
• Mexico
• Rest of Latin America
• Middle East & Africa
• Saudi Arabia
• UAE
• South Africa
• Rest of Middle East & Africa

Years Considered for the Study:

• Historical Year: 2022
• Base Year: 2023
• Forecast Period: 2024-2032

Key Takeaways:

• Market Estimates & Forecasts for 10 years from 2022 to 2032.
• Annualized revenue projections and regional-level analysis for each market segment.
• Comprehensive insights into the geographical landscape with country-level analysis.
• Competitive analysis of major market players and their strategic developments.
• In-depth analysis of market dynamics, challenges, trends, and growth opportunities.
• Recommendations on business strategies to capitalize on emerging market trends.

Table of Contents

Chapter 1. Global Quantum AI Market Executive Summary

• 1.1. Global Quantum AI Market Size & Forecast (2022-2032)
• 1.2. Regional Summary
• 1.3. Segmental Summary
  • 1.3.1. By Component
  • 1.3.2. By Deployment Model
  • 1.3.3. By Application
• 1.4. Key Trends
• 1.5. Recession Impact
• 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Quantum AI Market Definition and Research Assumptions

• 2.1. Research Objective
• 2.2. Market Definition
• 2.3. Research Assumptions
  • 2.3.1. Inclusion & Exclusion
  • 2.3.2. Limitations
  • 2.3.3. Supply Side Analysis
    • 2.3.3.1. Availability
    • 2.3.3.2. Infrastructure
    • 2.3.3.3. Regulatory Environment
    • 2.3.3.4. Market Competition
    • 2.3.3.5. Economic Viability (Consumer's Perspective)
  • 2.3.4. Demand Side Analysis
    • 2.3.4.1. Regulatory Frameworks
    • 2.3.4.2. Technological Advancements
    • 2.3.4.3. Environmental Considerations
    • 2.3.4.4. Consumer Awareness & Acceptance
• 2.4. Estimation Methodology
• 2.5. Years Considered for the Study
• 2.6. Currency Conversion Rates

Chapter 3. Global Quantum AI Market Dynamics

• 3.1. Market Drivers
  • 3.1.1. Increasing Demand for Quantum-Enabled AI Solutions
  • 3.1.2. Growing Convergence of Quantum Computing & AI
  • 3.1.3. Expansion of Cloud-Based Quantum Platforms
• 3.2. Market Challenges
  • 3.2.1. High Deployment Costs
  • 3.2.2. Quantum Decoherence and Technical Limitations
  • 3.2.3. Shortage of Skilled Quantum Professionals
• 3.3. Market Opportunities
  • 3.3.1. Advancements in Quantum Machine Learning Algorithms
  • 3.3.2. Strategic Partnerships and Government Initiatives
  • 3.3.3. Expanding Applications in Healthcare, Finance, and Defense

Chapter 4. Global Quantum AI Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
  • 4.1.6. Futuristic Approach to Porter's 5 Force Model
  • 4.1.7. Porter's 5 Force Impact Analysis
• 4.2. PESTEL Analysis
  • 4.2.1. Political
  • 4.2.2. Economical
  • 4.2.3. Social
  • 4.2.4. Technological
  • 4.2.5. Environmental
  • 4.2.6. Legal
• 4.3. Top Investment Opportunity
• 4.4. Top Winning Strategies
• 4.5. Disruptive Trends
• 4.6. Industry Expert Perspective
• 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Quantum AI Market Size & Forecasts by Component (2022-2032)

• 5.1. Segment Dashboard
• 5.2. Global Quantum AI Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
  • 5.2.1. Software
  • 5.2.2. Hardware
  • 5.2.3. Services

Chapter 6. Global Quantum AI Market Size & Forecasts by Deployment Model (2022-2032)

• 6.1. Segment Dashboard
• 6.2. Global Quantum AI Market: Deployment Model Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
  • 6.2.1. Cloud-Based
  • 6.2.2. On-Premises

Chapter 7. Global Quantum AI Market Size & Forecasts by Application (2022-2032)

• 7.1. Segment Dashboard
• 7.2. Global Quantum AI Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
  • 7.2.1. Machine Learning & Optimization
  • 7.2.2. Quantum Security & Cryptography
  • 7.2.3. Simulation & Modeling

Chapter 8. Global Quantum AI Market Size & Forecasts by Region (2022-2032)

• 8.1. North America Quantum AI Market
  • 8.1.1. U.S. Quantum AI Market
    • 8.1.1.1. By Component Breakdown, 2022-2032
    • 8.1.1.2. By Deployment Model Breakdown, 2022-2032
    • 8.1.1.3. By Application Breakdown, 2022-2032
  • 8.1.2. Canada Quantum AI Market
    • 8.1.2.1. By Component Breakdown, 2022-2032
    • 8.1.2.2. By Deployment Model Breakdown, 2022-2032
    • 8.1.2.3. By Application Breakdown, 2022-2032
• 8.2. Europe Quantum AI Market
  • 8.2.1. U.K. Quantum AI Market
  • 8.2.2. Germany Quantum AI Market
  • 8.2.3. France Quantum AI Market
  • 8.2.4. Spain Quantum AI Market
  • 8.2.5. Italy Quantum AI Market
  • 8.2.6. Rest of Europe Quantum AI Market
• 8.3. Asia Pacific Quantum AI Market
  • 8.3.1. China Quantum AI Market
  • 8.3.2. India Quantum AI Market
  • 8.3.3. Japan Quantum AI Market
  • 8.3.4. Australia Quantum AI Market
  • 8.3.5. South Korea Quantum AI Market
  • 8.3.6. Rest of Asia Pacific Quantum AI Market
• 8.4. Latin America Quantum AI Market
  • 8.4.1. Brazil Quantum AI Market
  • 8.4.2. Mexico Quantum AI Market
  • 8.4.3. Rest of Latin America Quantum AI Market
• 8.5. Middle East & Africa Quantum AI Market
  • 8.5.1. Saudi Arabia Quantum AI Market
  • 8.5.2. UAE Quantum AI Market
  • 8.5.3. South Africa Quantum AI Market
  • 8.5.4. Rest of Middle East & Africa Quantum AI Market

Chapter 9. Competitive Intelligence

• 9.1. Key Company SWOT Analysis
  • 9.1.1. IBM Corporation
  • 9.1.2. Google LLC
  • 9.1.3. Microsoft Corporation
• 9.2. Top Market Strategies
• 9.3. Company Profiles
  • 9.3.1. Amazon Web Services, Inc.
    • 9.3.1.1. Key Information
    • 9.3.1.2. Overview
    • 9.3.1.3. Financial (Subject to Data Availability)
    • 9.3.1.4. Product Summary
    • 9.3.1.5. Market Strategies
  • 9.3.2. D-Wave Systems Inc.
  • 9.3.3. Intel Corporation
  • 9.3.4. Rigetti Computing
  • 9.3.5. IonQ, Inc.
  • 9.3.6. Atos Quantum
  • 9.3.7. Xanadu Quantum Technologies Inc.
  • 9.3.8. Zapata Computing
  • 9.3.9. Cambridge Quantum Computing
  • 9.3.10. QC Ware Corp.
  • 9.3.11. Alpine Quantum Technologies GmbH
  • 9.3.12. Quantum Circuits, Inc.

Chapter 10. Research Process

• 10.1. Research Process
  • 10.1.1. Data Mining
  • 10.1.2. Analysis
  • 10.1.3. Market Estimation
  • 10.1.4. Validation
  • 10.1.5. Publishing
• 10.2. Research Attributes