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市场调查报告书
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2021758

量子人工智慧市场预测至2034年——按交付方式、组件、部署方式、技术、应用和区域分類的全球分析

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: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球量子人工智慧市场规模将达到 25 亿美元，并在预测期内以 38% 的复合年增长率增长，到 2034 年将达到 450 亿美元。

量子人工智慧是指量子运算与人工智慧的融合，它利用量子处理器执行超越传统运算能力的运算。量子演算法可望加速人工智慧模型的学习、最佳化和模拟，从而在模式识别、密码学和复杂问题解决等领域取得突破性进展。其应用领域包括药物研发、金融建模、物流和材料科学。儘管量子人工智慧仍处于发展初期，但对量子硬体、云端存取和混合量子-经典人工智慧系统的投资正在扩大市场，并有望彻底改变人工智慧的性能和功能。

量子运算在人工智慧领域的潜力

量子系统处理复杂资料集和演算法的速度远超传统电脑。这种能力推动了优化、机器学习和模拟任务的突破性进展。企业和研究机构正大力投资量子人工智慧，以获得竞争优势。各国政府也正在资助相关项目，以加速量子研究和商业化进程。随着人工智慧模型日趋复杂，量子运算有望彻底改变其效能和可扩展性。

实施成本极高

建造和维护量子系统需要专门的基础设施、低温冷却设备和先进材料。这些成本限制了量子系统的应用，使其仅限于大型企业、政府和研究机构。中小企业由于资金障碍难以取得量子人工智慧技术。持续的维护和人员配备也会产生额外的成本。儘管人们对量子系统表现出浓厚的兴趣，但高昂的成本阻碍了其广泛的商业化应用。

材料科学的突破

超导性、量子位元和纠错技术的进步正在提升系统的稳定性和可扩展性。这些创新降低了成本，并加速了量子硬体的商业化进程。材料科学研究人员与量子公司之间的合作正在推动这项进程。随着新材料能够实现更可靠的量子位元性能，量子人工智慧的应用将迅速扩展。这项机会将使材料科学成为市场成长的关键驱动力。

量子硬体商业化进程的延迟

儘管研究方面取得了显着进展，但实用化仍有限。量子比特稳定性、纠错等技术挑战正在阻碍其普及。由于部署时间和扩充性的不确定性，企业可能会对投资犹豫不决。此外，先进传统人工智慧晶片等竞争技术也进一步延缓了市场渗透。商业化进程的延迟持续削弱着人们对量子人工智慧解决方案的信心。

新冠疫情的影响：

新冠疫情对量子人工智慧市场产生了复杂的影响。由于供应链中断和劳动力短缺，硬体开发受到阻碍。然而，数位转型和人工智慧应用的激增提升了人们对先进运算解决方案的兴趣。世界各国政府将量子研究纳入復苏计划，并增加了长期投资。远端协作加速了软体和模拟工具的创新。

在预测期内，量子处理器细分市场预计将成为规模最大的市场。

预计在预测期内，量子处理器领域将占据最大的市场份额，因为它将在推动跨产业量子人工智慧工作负载方面发挥核心作用。处理器对于运行最佳化、模拟和机器学习中的演算法至关重要。企业和研究机构正优先发展处理器，以推动量子人工智慧领域的创新。对量子位元设计和纠错技术的持续投资正在增强这一领域。各国政府也正在资助处理器研究，以加速其商业化。随着对先进运算需求的不断增长，量子处理器有望主导市场。

预计在预测期内，药物研发领域将呈现最高的复合年增长率。

在预测期内，药物研发领域预计将呈现最高的成长率，因为量子人工智慧能够实现更快的分子模拟，加速药物创新。量子系统能够比传统电脑更精确地模拟复杂的化学相互作用。这种能力可以缩短药物研发流程的时间并降低成本。製药公司正与量子公司合作探索新的治疗方法。对精准医疗日益增长的需求也进一步推动了量子技术的应用。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额，这得益于其强大的研究基础设施、成熟的量子技术公司以及政府主导的倡议。美国处于主导地位，IBM、Google和微软等主要企业都在投资量子人工智慧。国防、医疗和金融领域对先进运算的强劲需求进一步巩固了该地区的主导地位。国家量子倡议等政府计画正在加速量子技术的应用。企业与Start-Ups之间的伙伴关係正在推动创新。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于其人工智慧生态系统的扩张和政府主导的项目。中国、日本和韩国等国家正大力推动雄心勃勃的量子运算倡议。区域内Start-Ups正携创新解决方案进军市场。医疗保健、製造业和智慧城市领域对人工智慧日益增长的需求正在推动其应用。政府主导的资金投入以及与学术机构的合作进一步巩固了这一成长势头。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域划分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球量子人工智慧市场：依产品/服务分类

  • 硬体
  • 软体
  • 服务

第六章：全球量子人工智慧市场：按组件划分

  • 量子处理器
  • 传统处理器
  • 控制电子设备
  • 低温系统
  • 量子演算法
  • 开发平台
  • 其他规则

第七章：全球量子人工智慧市场：以部署方式划分

  • 本地部署量子系统
  • 基于云端的量子运算
  • 混合量子-经典系统

第八章：全球量子人工智慧市场：按技术划分

  • 超导性比特
  • 囚禁离子量子比特
  • 光子量子运算
  • 量子退火
  • 拓朴量子比特
  • 其他技术

第九章：全球量子人工智慧市场：按应用领域划分

  • 最佳化问题
  • 药物发现
  • 财务建模
  • 密码技术
  • 材料科学
  • 其他用途

第十章：全球量子人工智慧市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • 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
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

Table of Contents

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

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)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.