2026-2030年全球人工智慧量子運算市場

全球人工智慧量子運算市場預計在 2025 年至 2030 年間成長至 7.286 億美元，預測期內複合年成長率為 33.9%。

本報告對全球人工智慧量子運算市場進行了全面分析，包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的促進因素包括：人工智慧模型複雜性和訓練需求的快速成長、對進階預測分析前所未有的需求、對混合量子和經典基礎設施的投資以及不斷擴大的策略合作夥伴關係。

本研究客觀地結合了一手和二手訊息，包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含歷史數據和預測數據。

本研究指出，機器學習工作負載的快速成長以及對先進運算範式的需求是未來幾年全球人工智慧量子運算市場成長的關鍵促進因素。此外，政府措施與私部門對量子基礎設施的投資之間的戰略協同效應，以及混合演算法開發和量子糾錯技術的創新，也將產生巨大的市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球人工智慧量子運算市場
• 2020-2024年基於技術的細分市場分析
• 按部署方式分類的細分市場分析，2020-2024 年
• 2020-2024 年最終用戶細分市場分析
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 人工智慧的影響：全球人工智慧量子運算市場
• 地緣政治衝突的影響：人工智慧量子運算的全球市場。

第7章：五力分析

第8章 市場區隔：依技術分類

• 比較：按技術
• 超導性比特
• 被捕獲的離子
• 光子系統
• 自旋量子比特
• 市場機會：依技術分類

第9章 市場區隔：依部署方式

• 比較：依部署方式
• 現場
• 基於雲端的
• 市場機會：依發展階段分類

第10章 市場區隔：依最終用戶分類

• 比較：按最終用戶
• 醫療保健和生命科學
• BFSI
• 汽車和航太
• 國防與安全
• 能源
• 市場機會：依最終用戶分類

第11章 客戶情況

第12章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 亞太地區
  • 中國
  • 日本
  • 韓國
  • 印度
  • 澳洲
  • 印尼
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 南美洲
  • 巴西
  • 阿根廷
  • 智利
• 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 南非
  • 以色列
  • 土耳其
• 市場機會：按地區分類

第13章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• Alibaba Group Holding Ltd.
• Amazon Web Services Inc.
• Atos SE
• Baidu Inc.
• Fujitsu Ltd.
• Google LLC
• IBM Corp.
• Intel Corp.
• Microsoft Corp.
• NEC Corp.
• NVIDIA Corp.
• Rigetti and Co. LLC
• Tencent Holdings Ltd.
• Toshiba Corp.
• Xanadu Quantum Technologies Inc.

第16章附錄

The global quantum computing for ai market is forecasted to grow by USD 728.6 mn during 2025-2030, accelerating at a CAGR of 33.9% during the forecast period. The report on the global quantum computing for ai market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by exponential growth in ai model complexity and training demands, unprecedented demand for advanced predictive analytics, increasing investments and strategic partnerships in hybrid quantum-classical infrastructure.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global quantum computing for ai market is segmented as below:

By Technology

• Superconducting qubits
• Trapped ions
• Photonic systems
• Spin qubits

By Deployment

• On-premises
• Cloud-based

By End-User

• Healthcare and life sciences
• BFSI
• Automotive and aerospace
• Defense and security
• Energy

Geography

• North America
  • US
  • Canada
  • Mexico
• APAC
  • China
  • Japan
  • South Korea
  • India
  • Australia
  • Indonesia
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• South America
  • Brazil
  • Argentina
  • Chile
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the exponential growth in ml workloads and need for advanced computational paradigms as one of the prime reasons driving the global quantum computing for ai market growth during the next few years. Also, strategic synergies between government initiatives and private sector funding for quantum infrastructure and innovations in hybrid algorithm development and quantum error correction methodologies will lead to sizable demand in the market.

The report on the global quantum computing for ai market covers the following areas:

• Global quantum computing for ai market sizing
• Global quantum computing for ai market forecast
• Global quantum computing for ai market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global quantum computing for ai market vendors that include Alibaba Group Holding Ltd., Amazon Web Services Inc., Atos SE, Baidu Inc., Classiq Technologies, Fujitsu Ltd., Google LLC, IBM Corp., Intel Corp., Microsoft Corp., NEC Corp., NVIDIA Corp., Pasqal, PsiQuantum Corp., QC Ware, QuEra Computing Inc., Rigetti and Co. LLC, Tencent Holdings Ltd., Toshiba Corp., Xanadu Quantum Technologies Inc.. Also, the global quantum computing for ai market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Quantum Computing For AI Market 2020 - 2024
  • Historic Market Size - Data Table on Global Quantum Computing For AI Market 2020 - 2024 ($ million)
• 5.2 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
• 5.3 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.4 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI in Global Quantum Computing for AI Market
• 6.2 Impact of Geopolitical Conflict for Global Quantum Computing for AI Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Technology

• 8.1 Market segments
• 8.2 Comparison by Technology
• 8.3 Superconducting qubits - Market size and forecast 2025-2030
• 8.4 Trapped ions - Market size and forecast 2025-2030
• 8.5 Photonic systems - Market size and forecast 2025-2030
• 8.6 Spin qubits - Market size and forecast 2025-2030
• 8.7 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 On-premises - Market size and forecast 2025-2030
• 9.4 Cloud-based - Market size and forecast 2025-2030
• 9.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Market Segmentation by End-user

• 10.1 Market segments
• 10.2 Comparison by End-user
• 10.3 Healthcare and life sciences - Market size and forecast 2025-2030
• 10.4 BFSI - Market size and forecast 2025-2030
• 10.5 Automotive and aerospace - Market size and forecast 2025-2030
• 10.6 Defense and security - Market size and forecast 2025-2030
• 10.7 Energy - Market size and forecast 2025-2030
• 10.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 APAC - Market size and forecast 2025-2030
  • 12.4.1 China - Market size and forecast 2025-2030
  • 12.4.2 Japan - Market size and forecast 2025-2030
  • 12.4.3 South Korea - Market size and forecast 2025-2030
  • 12.4.4 India - Market size and forecast 2025-2030
  • 12.4.5 Australia - Market size and forecast 2025-2030
  • 12.4.6 Indonesia - Market size and forecast 2025-2030
• 12.5 Europe - Market size and forecast 2025-2030
  • 12.5.1 Germany - Market size and forecast 2025-2030
  • 12.5.2 UK - Market size and forecast 2025-2030
  • 12.5.3 France - Market size and forecast 2025-2030
  • 12.5.4 Italy - Market size and forecast 2025-2030
  • 12.5.5 Spain - Market size and forecast 2025-2030
  • 12.5.6 The Netherlands - Market size and forecast 2025-2030
• 12.6 South America - Market size and forecast 2025-2030
  • 12.6.1 Brazil - Market size and forecast 2025-2030
  • 12.6.2 Argentina - Market size and forecast 2025-2030
  • 12.6.3 Chile - Market size and forecast 2025-2030
• 12.7 Middle East and Africa - Market size and forecast 2025-2030
  • 12.7.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.7.2 UAE - Market size and forecast 2025-2030
  • 12.7.3 South Africa - Market size and forecast 2025-2030
  • 12.7.4 Israel - Market size and forecast 2025-2030
  • 12.7.5 Turkey - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Exponential growth in AI model complexity and training demands
  • Unprecedented demand for advanced predictive analytics
  • Increasing investments and strategic partnerships in hybrid quantum-classical infrastructure
• 13.2 Market challenges
  • Infrastructural costs and hardware complexity
  • Severe shortage of specialized talent and expertise
  • Algorithmic instability and error correction hurdles
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Exponential growth in ML workloads and need for advanced computational paradigms
  • Strategic synergies between government initiatives and private sector funding for quantum infrastructure
  • Innovations in hybrid algorithm development and quantum error correction methodologies

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Alibaba Group Holding Ltd.
  • Alibaba Group Holding Ltd. - Overview
  • Alibaba Group Holding Ltd. - Business segments
  • Alibaba Group Holding Ltd. - Key offerings
  • Alibaba Group Holding Ltd. - Segment focus
  • SWOT
• 15.5 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 15.6 Atos SE
  • Atos SE - Overview
  • Atos SE - Business segments
  • Atos SE - Key offerings
  • Atos SE - Segment focus
  • SWOT
• 15.7 Baidu Inc.
  • Baidu Inc. - Overview
  • Baidu Inc. - Business segments
  • Baidu Inc. - Key news
  • Baidu Inc. - Key offerings
  • Baidu Inc. - Segment focus
  • SWOT
• 15.8 Fujitsu Ltd.
  • Fujitsu Ltd. - Overview
  • Fujitsu Ltd. - Business segments
  • Fujitsu Ltd. - Key offerings
  • Fujitsu Ltd. - Segment focus
  • SWOT
• 15.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 15.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.11 Intel Corp.
  • Intel Corp. - Overview
  • Intel Corp. - Business segments
  • Intel Corp. - Key news
  • Intel Corp. - Key offerings
  • Intel Corp. - Segment focus
  • SWOT
• 15.12 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 15.13 NEC Corp.
  • NEC Corp. - Overview
  • NEC Corp. - Business segments
  • NEC Corp. - Key offerings
  • NEC Corp. - Segment focus
  • SWOT
• 15.14 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.15 Rigetti and Co. LLC
  • Rigetti and Co. LLC - Overview
  • Rigetti and Co. LLC - Product / Service
  • Rigetti and Co. LLC - Key offerings
  • SWOT
• 15.16 Tencent Holdings Ltd.
  • Tencent Holdings Ltd. - Overview
  • Tencent Holdings Ltd. - Business segments
  • Tencent Holdings Ltd. - Key offerings
  • Tencent Holdings Ltd. - Segment focus
  • SWOT
• 15.17 Toshiba Corp.
  • Toshiba Corp. - Overview
  • Toshiba Corp. - Product / Service
  • Toshiba Corp. - Key offerings
  • SWOT
• 15.18 Xanadu Quantum Technologies Inc.
  • Xanadu Quantum Technologies Inc. - Overview
  • Xanadu Quantum Technologies Inc. - Product / Service
  • Xanadu Quantum Technologies Inc. - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations