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商品編碼

2021758

量子人工智慧市場預測至2034年——按交付方式、組件、部署方式、技術、應用和區域分類的全球分析

Quantum AI Market Forecasts to 2034 - Global Analysis By Offering (Hardware, Software and Services), Component, Deployment, Technology, Application and By Geography

出版日期: 2026年04月17日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球量子人工智慧市場規模將達到 25 億美元，並在預測期內以 38% 的複合年成長率成長，到 2034 年將達到 450 億美元。

量子人工智慧是指量子運算與人工智慧的融合，它利用量子處理器執行超越傳統運算能力的運算。量子演算法可望加速人工智慧模型的學習、最佳化和模擬，從而在模式識別、密碼學和複雜問題解決等領域取得突破性進展。其應用領域包括藥物研發、金融建模、物流和材料科學。儘管量子人工智慧仍處於發展初期，但對量子硬體、雲端存取和混合量子-經典人工智慧系統的投資正在擴大市場，並有望徹底改變人工智慧的性能和功能。

量子運算在人工智慧領域的潛力

量子系統處理複雜資料集和演算法的速度遠超傳統電腦。這種能力推動了最佳化、機器學習和模擬任務的突破性進展。企業和研究機構正大力投資量子人工智慧，以獲得競爭優勢。各國政府也正在資助相關項目，以加速量子研究和商業化進程。隨著人工智慧模型日趨複雜，量子運算有望徹底改變其效能和可擴展性。

實施成本極高

建造和維護量子系統需要專門的基礎設施、低溫冷卻設備和先進材料。這些成本限制了量子系統的應用，使其僅限於大型企業、政府和研究機構。中小企業由於資金障礙難以取得量子人工智慧技術。持續的維護和人員配備也會產生額外的成本。儘管人們對量子系統表現出濃厚的興趣，但高昂的成本阻礙了其廣泛的商業化應用。

材料科學的突破

超導性、量子位元和糾錯技術的進步正在提升系統的穩定性和可擴展性。這些創新降低了成本，並加速了量子硬體的商業化進程。材料科學研究人員與量子公司之間的合作正在推動這項進程。隨著新材料能夠實現更可靠的量子位元性能，量子人工智慧的應用將迅速擴展。這項機會將使材料科學成為市場成長的關鍵驅動力。

量子硬體商業化進程的延遲

儘管研究方面取得了顯著進展，但實用化仍有限。量子比特穩定性、糾錯等技術挑戰正在阻礙其普及。由於部署時間和擴充性的不確定性，企業可能會對投資猶豫不決。此外，先進傳統人工智慧晶片等競爭技術也進一步延緩了市場滲透。商業化進程的延遲持續削弱著人們對量子人工智慧解決方案的信心。

新冠疫情的影響：

新冠疫情對量子人工智慧市場產生了複雜的影響。由於供應鏈中斷和勞動力短缺，硬體開發受到阻礙。然而，數位轉型和人工智慧應用的激增提升了人們對先進運算解決方案的興趣。世界各國政府將量子研究納入復甦計劃，並增加了長期投資。遠端協作加速了軟體和模擬工具的創新。

在預測期內，量子處理器細分市場預計將成為規模最大的市場。

預計在預測期內，量子處理器領域將佔據最大的市場佔有率，因為它將在推動跨產業量子人工智慧工作負載方面發揮核心作用。處理器對於運行最佳化、模擬和機器學習中的演算法至關重要。企業和研究機構正優先發展處理器，以推動量子人工智慧領域的創新。對量子位元設計和糾錯技術的持續投資正在增強這一領域。各國政府也正在資助處理器研究，以加速其商業化。隨著對先進運算需求的不斷成長，量子處理器有望主導市場。

預計在預測期內，藥物研發領域將呈現最高的複合年成長率。

在預測期內，藥物研發領域預計將呈現最高的成長率，因為量子人工智慧能夠實現更快的分子模擬，加速藥物創新。量子系統能夠比傳統電腦更精確地模擬複雜的化學相互作用。這種能力可以縮短藥物研發流程的時間並降低成本。製藥公司正與量子公司合作探索新的治療方法。對精準醫療日益成長的需求也進一步推動了量子技術的應用。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其強大的研究基礎設施、成熟的量子技術公司以及政府主導的舉措。美國處於主導地位，IBM、Google和微軟等主要企業都在投資量子人工智慧。國防、醫療和金融領域對先進運算的強勁需求進一步鞏固了該地區的主導地位。國家量子舉措等政府計畫正在加速量子技術的應用。企業與Start-Ups之間的夥伴關係正在推動創新。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於其人工智慧生態系統的擴張和政府主導的項目。中國、日本和韓國等國家正大力推動雄心勃勃的量子運算舉措。區域內Start-Ups正攜創新解決方案進軍市場。醫療保健、製造業和智慧城市領域對人工智慧日益成長的需求正在推動其應用。政府主導的資金投入以及與學術機構的合作進一步鞏固了這一成長勢頭。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域分類
- 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

IBM Corporation
Google LLC
Microsoft Corporation
Intel Corporation
Honeywell Quantum Solutions
D-Wave Systems
Rigetti Computing
IonQ
PsiQuantum
Xanadu Quantum Technologies
Alibaba Group
Baidu Inc.
Fujitsu Limited
Atos SE
Zapata Computing
Classiq Technologies

簡介目錄圖表

Product Code: SMRC35077

According to Stratistics MRC, the Global Quantum AI Market is accounted for $2.5 billion in 2026 and is expected to reach $45 billion by 2034 growing at a CAGR of 38% during the forecast period. Quantum AI refers to the intersection of quantum computing and artificial intelligence, leveraging quantum processors to perform computations beyond classical capabilities. Quantum algorithms can accelerate AI model training, optimization, and simulation, offering potential breakthroughs in pattern recognition, cryptography, and complex problem solving. Applications include drug discovery, financial modeling, logistics, and materials science. While still emerging, investments in quantum hardware, cloud access, and hybrid quantum-classical AI systems are expanding the market, promising transformative impacts on AI performance and capabilities.

Market Dynamics:

Driver:

Quantum computing potential for AI

Quantum systems can process complex datasets and algorithms far faster than classical computers. This capability enables breakthroughs in optimization, machine learning, and simulation tasks. Enterprises and research institutions are investing heavily in quantum AI to gain competitive advantages. Governments are also funding initiatives to accelerate quantum research and commercialization. As AI models grow in complexity, quantum computing offers transformative potential for performance and scalability.

Restraint:

Extremely high implementation costs

Building and maintaining quantum systems requires specialized infrastructure, cryogenic cooling, and advanced materials. These costs limit adoption to large enterprises, governments, and research institutions. Smaller firms struggle to access quantum AI due to financial barriers. Ongoing maintenance and talent requirements add further expense. Despite strong interest, cost intensity continues to slow widespread commercialization.

Opportunity:

Breakthroughs in material science

Advances in superconductors, qubits, and error correction technologies are improving system stability and scalability. These innovations reduce costs and accelerate commercialization of quantum hardware. Partnerships between material science researchers and quantum firms are driving progress. As new materials enable more reliable qubit performance, quantum AI applications will expand rapidly. This opportunity positions material science as a critical enabler of market growth.

Threat:

Slow commercialization of quantum hardware

Despite significant research progress, practical deployment remains limited. Technical challenges such as qubit stability and error correction slow adoption. Enterprises may hesitate to invest due to uncertainty about timelines and scalability. Competing technologies such as advanced classical AI chips further delay market penetration. This slow pace of commercialization continues to challenge confidence in quantum AI solutions.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the quantum AI market. Supply chain disruptions and workforce limitations slowed hardware development. However, the surge in digital transformation and AI adoption boosted interest in advanced computing solutions. Governments included quantum research in recovery initiatives, reinforcing long-term investment. Remote collaboration accelerated innovation in software and simulation tools.

The quantum processors segment is expected to be the largest during the forecast period

The quantum processors segment is expected to account for the largest market share during the forecast period owing to their central role in enabling quantum AI workloads across industries. Processors are critical for executing algorithms in optimization, simulation, and machine learning. Enterprises and research institutions prioritize processor development to advance quantum AI innovation. Continuous investment in qubit design and error correction strengthens this segment. Governments are funding processor research to accelerate commercialization. With growing demand for advanced computing, quantum processors are expected to dominate the market.

The drug discovery segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the drug discovery segment is predicted to witness the highest growth rate as quantum AI enables faster molecular simulations and accelerates pharmaceutical innovation. Quantum systems can model complex chemical interactions more accurately than classical computers. This capability reduces time and cost in drug development pipelines. Pharmaceutical firms are partnering with quantum companies to explore new therapies. Rising demand for precision medicine further strengthens adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share supported by strong research infrastructure, established quantum firms, and government-backed initiatives. The U.S. leads with major players such as IBM, Google, and Microsoft investing in quantum AI. Robust demand for advanced computing in defense, healthcare, and finance strengthens regional leadership. Government programs such as the National Quantum Initiative accelerate adoption. Partnerships between enterprises and startups drive innovation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to expanding AI ecosystems, and government-backed programs. Countries such as China, Japan, and South Korea are advancing ambitious quantum initiatives. Regional startups are entering the market with innovative solutions. Expanding demand for AI in healthcare, manufacturing, and smart cities fuels adoption. Government-backed funding and academic collaborations further strengthen growth.

Key players in the market

Some of the key players in Quantum AI Market include IBM Corporation, Google LLC, Microsoft Corporation, Intel Corporation, Honeywell Quantum Solutions, D-Wave Systems, Rigetti Computing, IonQ, PsiQuantum, Xanadu Quantum Technologies, Alibaba Group, Baidu Inc., Fujitsu Limited, Atos SE, Zapata Computing and Classiq Technologies.

Key Developments:

In June 2025, D-Wave launched Advantage2 quantum annealers optimized for AI workloads. The innovation reinforced its leadership in optimization problems and strengthened adoption in logistics and finance.

In March 2025, Microsoft partnered with Quantinuum to advance quantum AI applications on Azure Quantum. The collaboration reinforced its hybrid cloud ecosystem and strengthened enterprise adoption of quantum-enhanced AI.

Offerings Covered:

Hardware
Software
Services

Components Covered:

Quantum Processors
Classical Processors
Control Electronics
Cryogenic Systems
Quantum Algorithms
Development Platforms
Other Components

Deployment Modes Covered:

On-Premise Quantum Systems
Cloud-Based Quantum Computing
Hybrid Quantum-Classical Systems

Technologies Covered:

Superconducting Qubits
Trapped Ion Qubits
Photonic Quantum Computing
Quantum Annealing
Topological Qubits
Other Technologies

Applications Covered:

Optimization Problems
Drug Discovery
Financial Modeling
Cryptography
Material Science
Other Applications

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Quantum AI Market, By Offering

5.1 Hardware
5.2 Software
5.3 Services

6 Global Quantum AI Market, By Component

6.1 Quantum Processors
6.2 Classical Processors
6.3 Control Electronics
6.4 Cryogenic Systems
6.5 Quantum Algorithms
6.6 Development Platforms
6.7 Other Components

7 Global Quantum AI Market, By Deployment

7.1 On-Premise Quantum Systems
7.2 Cloud-Based Quantum Computing
7.3 Hybrid Quantum-Classical Systems

8 Global Quantum AI Market, By Technology

8.1 Superconducting Qubits
8.2 Trapped Ion Qubits
8.3 Photonic Quantum Computing
8.4 Quantum Annealing
8.5 Topological Qubits
8.6 Other Technologies

9 Global Quantum AI Market, By Application

9.1 Optimization Problems
9.2 Drug Discovery
9.3 Financial Modeling
9.4 Cryptography
9.5 Material Science
9.6 Other Applications

10 Global Quantum AI Market, By Geography

10.1 North America
- 10.1.1 United States
- 10.1.2 Canada
- 10.1.3 Mexico
10.2 Europe
- 10.2.1 United Kingdom
- 10.2.2 Germany
- 10.2.3 France
- 10.2.4 Italy
- 10.2.5 Spain
- 10.2.6 Netherlands
- 10.2.7 Belgium
- 10.2.8 Sweden
- 10.2.9 Switzerland
- 10.2.10 Poland
- 10.2.11 Rest of Europe
10.3 Asia Pacific
- 10.3.1 China
- 10.3.2 Japan
- 10.3.3 India
- 10.3.4 South Korea
- 10.3.5 Australia
- 10.3.6 Indonesia
- 10.3.7 Thailand
- 10.3.8 Malaysia
- 10.3.9 Singapore
- 10.3.10 Vietnam
- 10.3.11 Rest of Asia Pacific
10.4 South America
- 10.4.1 Brazil
- 10.4.2 Argentina
- 10.4.3 Colombia
- 10.4.4 Chile
- 10.4.5 Peru
- 10.4.6 Rest of South America
10.5 Rest of the World (RoW)
- 10.5.1 Middle East
  - 10.5.1.1 Saudi Arabia
  - 10.5.1.2 United Arab Emirates
  - 10.5.1.3 Qatar
  - 10.5.1.4 Israel
  - 10.5.1.5 Rest of Middle East
- 10.5.2 Africa
  - 10.5.2.1 South Africa
  - 10.5.2.2 Egypt
  - 10.5.2.3 Morocco
  - 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles

13.1 IBM Corporation
13.2 Google LLC
13.3 Microsoft Corporation
13.4 Intel Corporation
13.5 Honeywell Quantum Solutions
13.6 D-Wave Systems
13.7 Rigetti Computing
13.8 IonQ
13.9 PsiQuantum
13.10 Xanadu Quantum Technologies
13.11 Alibaba Group
13.12 Baidu Inc.
13.13 Fujitsu Limited
13.14 Atos SE
13.15 Zapata Computing
13.16 Classiq Technologies

簡介目錄圖表

List of Tables

Table 1 Global Quantum AI Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Quantum AI Market, By Offering (2023-2034) ($MN)
Table 3 Global Quantum AI Market, By Hardware (2023-2034) ($MN)
Table 4 Global Quantum AI Market, By Software (2023-2034) ($MN)
Table 5 Global Quantum AI Market, By Services (2023-2034) ($MN)
Table 6 Global Quantum AI Market, By Component (2023-2034) ($MN)
Table 7 Global Quantum AI Market, By Quantum Processors (2023-2034) ($MN)
Table 8 Global Quantum AI Market, By Classical Processors (2023-2034) ($MN)
Table 9 Global Quantum AI Market, By Control Electronics (2023-2034) ($MN)
Table 10 Global Quantum AI Market, By Cryogenic Systems (2023-2034) ($MN)
Table 11 Global Quantum AI Market, By Quantum Algorithms (2023-2034) ($MN)
Table 12 Global Quantum AI Market, By Development Platforms (2023-2034) ($MN)
Table 13 Global Quantum AI Market, By Other Components (2023-2034) ($MN)
Table 14 Global Quantum AI Market, By Deployment (2023-2034) ($MN)
Table 15 Global Quantum AI Market, By On-Premise Quantum Systems (2023-2034) ($MN)
Table 16 Global Quantum AI Market, By Cloud-Based Quantum Computing (2023-2034) ($MN)
Table 17 Global Quantum AI Market, By Hybrid Quantum-Classical Systems (2023-2034) ($MN)
Table 18 Global Quantum AI Market, By Technology (2023-2034) ($MN)
Table 19 Global Quantum AI Market, By Superconducting Qubits (2023-2034) ($MN)
Table 20 Global Quantum AI Market, By Trapped Ion Qubits (2023-2034) ($MN)
Table 21 Global Quantum AI Market, By Photonic Quantum Computing (2023-2034) ($MN)
Table 22 Global Quantum AI Market, By Quantum Annealing (2023-2034) ($MN)
Table 23 Global Quantum AI Market, By Topological Qubits (2023-2034) ($MN)
Table 24 Global Quantum AI Market, By Other Technologies (2023-2034) ($MN)
Table 25 Global Quantum AI Market, By Application (2023-2034) ($MN)
Table 26 Global Quantum AI Market, By Optimization Problems (2023-2034) ($MN)
Table 27 Global Quantum AI Market, By Drug Discovery (2023-2034) ($MN)
Table 28 Global Quantum AI Market, By Financial Modeling (2023-2034) ($MN)
Table 29 Global Quantum AI Market, By Cryptography (2023-2034) ($MN)
Table 30 Global Quantum AI Market, By Material Science (2023-2034) ($MN)
Table 31 Global Quantum AI Market, By Other Applications (2023-2034) ($MN)