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양자 컴퓨팅용 AI 최적화 시장 규모, 점유율 및 동향 분석 리포트 : 컴포넌트별, 기술별, 용도별, 최종 용도별, 지역별, 부문 예측(2025-2033년)

AI-optimization For Quantum Computing Market Size, Share & Trends Analysis Report By Component (Software, Hardware), By Technology (Superconducting Qubits, Trapped Ions), By Application, By End Use, By Region, And Segment Forecasts, 2025 - 2033
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 150 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

양자 컴퓨팅용 AI 최적화 시장 요약

세계의 양자 컴퓨팅용 AI 최적화 시장 규모는 2024년에 1억 1,230만 달러로 평가되며, 2033년까지 5억 4,140만 달러에 달할 것으로 예측됩니다.

2025-2033년 연평균 복합 성장률(CAGR) 19.3%를 보일 것으로 예측됩니다. 양자 하드웨어의 급속한 발전으로 인해 시스템의 정확성과 효율성을 향상시키기 위한 AI 기반 최적화에 대한 요구가 높아지고 있습니다.

양자 프로세서의 양자 비트 수가 증가함에 따라 오류율, 양자 비트의 디코히어런스, 노이즈 등의 문제가 심각해지고 있으며, 이를 안정화하기 위한 지능형 알고리즘이 요구되고 있습니다. 화학, 재료과학, 금융, 물류 분야에서 기업이 이용 사례를 모색하는 가운데 양자 알고리즘은 점점 더 복잡해지고 있습니다. 이러한 워크로드에는 정밀한 회로 최적화, 리소스 배분, 노이즈를 고려한 실행 전략이 필수적입니다. AI는 게이트 깊이 단축, 노이즈 노출 감소, 가장 효율적인 양자비트 경로 선택을 통해 회로 최적화의 자동화를 지원합니다. 조직은 가까운 미래에 양자 우위에 접근하기 위해서는 알고리즘 최적화가 필수적이라는 것을 인식하고 있습니다. AI 기반 최적화 플랫폼은 기존에는 사람의 전문 지식이 필요했던 자동화 툴을 제공합니다. 이러한 워크로드의 복잡성은 AI를 활용한 최적화 솔루션에 대한 수요를 직접적으로 촉진하고 있습니다.

또한 고전 AI 시스템이 양자 프로세서와 연동되는 트랩드 이온 계산의 부상도 주목할 만합니다. 이러한 트랩드 이온 워크플로우에서 AI는 작업 할당 조정, 회로 실행 최적화, 환경 간 데이터 전송 관리 등에 활용됩니다. AI 모델은 적응형 학습 루프를 실현하고, 고전 시스템이 양자 모델을 반복적으로 훈련하고 개선합니다. 이 접근법은 양자 알고리즘의 성능을 크게 향상시키고 최적화 문제의 수렴 시간을 단축시킵니다. 트랩드 이온 아키텍처를 채택한 기업은 고전 GPU와 양자 장치 간의 상호 운용을 효율화하기 위해 AI 툴에 의존하고 있습니다. 트랩드 이온 컴퓨팅이 양자 이용 사례의 미래 표준이 되면서 AI 기반 오케스트레이션 툴에 대한 수요가 가속화되고 있습니다.

제약, 자동차, 머신러닝 모델 최적화, 물류, 에너지 등의 산업에서 최적화 지원이 필요한 양자 용도의 활용이 빠르게 진행되고 있습니다. 이러한 분야는 분자 모델링, 포트폴리오 최적화, 경로 계획과 같은 복잡한 계산 과제에 직면하고 있으며, AI 강화 양자 워크플로우가 효과적입니다. AI는 도메인별 과제에 맞게 양자 회로를 미세 조정하여 해답의 정확도를 높입니다. 각 벤더들은 기존 기업 용도과의 통합을 간소화하는 최적화 모델에 특화된 산업 기반을 구축하고 있습니다. 양자 클라우드 플랫폼이 서비스 제공 범위를 확대함에 따라 AI 지원 최적화 툴은 상업적 사용자들이 보다 쉽게 사용할 수 있게 되었습니다. 이러한 보급의 진전은 양자컴퓨팅의 장기적 가치에 대한 기업의 인식이 높아지는 것과 일치합니다.

자주 묻는 질문

  • 양자 컴퓨팅용 AI 최적화 시장 규모는 어떻게 예측되나요?
  • 양자 컴퓨팅용 AI 최적화 시장에서 AI의 역할은 무엇인가요?
  • 트랩드 이온 컴퓨팅에서 AI는 어떤 방식으로 활용되나요?
  • 양자 컴퓨팅용 AI 최적화 시장의 주요 산업 분야는 무엇인가요?
  • 양자 컴퓨팅용 AI 최적화 시장의 주요 기업은 어디인가요?

목차

제1장 조사 방법과 범위

제2장 개요

제3장 양자 컴퓨팅용 AI 최적화 시장, 동향 및 범위

  • 시장 도입/계보 전망
  • 시장 역학
  • 양자 컴퓨팅용 AI 최적화 시장 툴
    • Porter의 산업 분석
    • PESTEL 분석

제4장 양자 컴퓨팅용 AI 최적화 시장 : 컴포넌트별 추정·동향 분석

  • 양자 컴퓨팅용 AI 최적화 시장 : 컴포넌트별 변동 분석(2024년 및 2033년)
  • 소프트웨어
  • 하드웨어
  • 서비스

제5장 양자 컴퓨팅용 AI 최적화 시장 : 기술별 추정·동향 분석

  • 양자 컴퓨팅용 AI 최적화 시장 : 기술 변동 분석, 2024년 및 2033년
  • 트랩드 이온
  • 초전도 양자 비트
  • 양자 어닐링
  • 포토닉 양자 컴퓨팅
  • 기타

제6장 양자 컴퓨팅용 AI 최적화 시장 : 용도별 추정·동향 분석

  • 양자 컴퓨팅용 AI 최적화 시장 : 용도별 변동 분석, 2024년 및 2033년
  • 기계학습 모델 최적화
  • 양자 회로 최적화
  • 스케줄링 및 리소스 배분
  • 재료 시뮬레이션과 Drug Discovery
  • 금융 모델링과 포트폴리오 최적화
  • 공급망·물류 최적화
  • 기타

제7장 양자 컴퓨팅용 AI 최적화 시장 : 최종 용도별 추정·동향 분석

  • 양자 컴퓨팅용 AI 최적화 시장 : 최종 용도 변동 분석(2024년 및 2033년)
  • BFSI
  • 헬스케어·생명과학
  • 에너지·유틸리티
  • 제조업
  • IT·통신
  • 항공우주·방위
  • 운송·물류
  • 기타

제8장 양자 컴퓨팅용 AI 최적화 : 지역별 추정·동향 분석

  • 양자 컴퓨팅용 AI 최적화 : 지역별 점유율(2024년 및 2033년)
  • 북미
    • 북미의 양자 컴퓨팅용 AI 최적화 추정·예측, 2021-2033년
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 유럽의 양자 컴퓨팅용 AI 최적화 추정·예측, 2021-2033년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 아시아태평양의 양자 컴퓨팅용 AI 최적화 추정·예측, 2021-2033년
    • 중국
    • 일본
    • 인도
    • 한국
    • 호주
  • 라틴아메리카
    • 라틴아메리카의 양자 컴퓨팅용 AI 최적화 추정·예측, 2021-2033년
    • 브라질
  • 중동 및 아프리카
    • 중동 및 아프리카 양자 컴퓨팅용 AI 최적화 추정·예측, 2021-2033년
    • 아랍에미리트
    • 사우디아라비아
    • 남아프리카공화국

제9장 경쟁 구도

  • 기업 분류
  • 기업의 시장 포지셔닝
  • 참여 기업의 개요
  • 재무 실적
  • 기술 벤치마킹
  • 기업 히트맵 분석
  • 전략 지도제작
  • 기업 개요/리스트
    • Atos Quantum
    • D-Wave Quantum Inc.
    • Google LLC
    • IBM Corporation
    • Intel Corporation
    • IonQ, Inc.
    • Microsoft
    • PsiQuantum
    • Rigetti Computing, Inc.
    • Xanadu Quantum Technologies
KSA 26.01.02

AI-optimization For Quantum Computing Market Summary

The global AI-optimization for quantum computing market size was valued at USD 112.3 million in 2024 and is projected to reach USD 541.4 million by 2033, growing at a CAGR of 19.3% from 2025 to 2033. The rapid advancement of quantum hardware is creating a strong need for AI-driven optimization to improve system accuracy and efficiency.

As quantum processors scale to higher qubit counts, error rates, qubit decoherence, and noise challenges intensify, requiring intelligent algorithms to stabilize operations. Quantum algorithms are becoming more complex as enterprises explore use cases in chemistry, materials science, finance, and logistics. These workloads demand precise optimization of circuits, resource allocation, and noise-aware execution strategies. AI helps automate circuit optimization by shortening gate depth, lowering noise exposure, and selecting the most efficient qubit pathways. Organizations recognize that algorithm optimization is essential to approach quantum advantage in the near term. AI-driven optimization platforms provide automated tools that would otherwise require extensive human expertise. This growing complexity of workloads directly fuels demand for AI-enabled optimization solutions.

Additionally, the rise of trapped ion computing, where classical AI systems work alongside quantum processors. These trapped ions workflows rely on AI to orchestrate task allocation, optimize circuit execution, and manage data transfer across environments. AI models enable adaptive learning loops where classical systems train and refine quantum models iteratively. This approach significantly increases quantum algorithm performance and accelerates convergence times for optimization problems. Enterprises adopting trapped ions architectures rely on AI tools to streamline interactions between classical GPUs and quantum devices. As trapped ions computing becomes the standard for near-term quantum use cases, demand for AI-driven orchestration tools accelerates.

Industries such as pharmaceuticals, automotive, Machine Learning Model Optimization, logistics, and energy are rapidly exploring quantum applications that require optimization support. These sectors face complex computational problems-such as molecular modeling, portfolio optimization, and route planning-that benefit from AI-enhanced quantum workflows. AI improves solution accuracy by fine-tuning quantum circuits for domain-specific challenges. Vendors are building an industry focused on optimization models that simplify integration into existing enterprise applications. As quantum cloud platforms expand their service offerings, AI-assisted optimization tools become more accessible to commercial users. This rising adoption aligns with growing enterprise awareness of quantum computing's long-term value.

Global AI-optimization For Quantum Computing Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI-optimization for quantum computing market report based on component, technology, application, end use, and region.

  • Component Outlook (Revenue, USD Million, 2021 - 2033)
  • Software
  • Hardware
  • Services
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Superconducting Qubits
  • Trapped Ions
  • Quantum Annealing
  • Photonic Quantum Computing
  • Others
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • Machine Learning Model Optimization
  • Quantum Circuit Optimization
  • Scheduling & Resource Allocation
  • Material Simulation & Drug Discovery
  • Financial Modeling & Portfolio Optimization
  • Supply Chain & Logistics Optimization
  • Others
  • End Use Outlook (Revenue, USD Million, 2021 - 2033)
  • BFSI
  • Healthcare & Life Sciences
  • Energy & Utilities
  • Manufacturing
  • IT & Telecommunications
  • Aerospace & Defense
  • Transportation & Logistics
  • Others
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
  • Middle East and Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definition
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. AI-Optimization for Quantum Computing Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. AI-Optimization for Quantum Computing Market Analysis Tools
    • 3.3.1. Porter's Analysis
    • 3.3.2. PESTEL Analysis

Chapter 4. AI-Optimization for Quantum Computing Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. AI-Optimization for Quantum Computing market: Component Movement Analysis, 2024 & 2033 (USD Million)
  • 4.3. Software
    • 4.3.1. Software AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.4. Hardware
    • 4.4.1. Hardware AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.5. Services
    • 4.5.1. Services AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. AI-Optimization for Quantum Computing Market: Technology Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. AI-Optimization for Quantum Computing market: Technology Movement Analysis, 2024 & 2033 (USD Million)
  • 5.3. Trapped Ions
    • 5.3.1. Trapped Ions AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.4. Superconducting Qubits
    • 5.4.1. Superconducting Qubits AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.5. Quantum Annealing
    • 5.5.1. Quantum Annealing AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.6. Photonic Quantum Computing
    • 5.6.1. Photonic Quantum Computing AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.7. Others
    • 5.7.1. Others AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. AI-Optimization for Quantum Computing Market: Application Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. AI-Optimization for Quantum Computing Market: Application Movement Analysis, 2024 & 2033 (USD Million)
  • 6.3. Machine Learning Model Optimization
    • 6.3.1. Machine Learning Model Optimization AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.4. Quantum Circuit Optimization
    • 6.4.1. Quantum Circuit Optimization AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.5. Scheduling & Resource Allocation
    • 6.5.1. Scheduling & Resource Allocation AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.6. Material Simulation & Drug Discovery
    • 6.6.1. Material Simulation & Drug Discovery AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.7. Financial Modeling & Portfolio Optimization
    • 6.7.1. Financial Modeling & Portfolio Optimization AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.8. Supply Chain & Logistics Optimization
    • 6.8.1. Supply Chain & Logistics Optimization AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.9. Others
    • 6.9.1. Others AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. AI-Optimization for Quantum Computing Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. AI-Optimization for Quantum Computing market: End Use Movement Analysis, 2024 & 2033 (USD Million)
  • 7.3. BFSI
    • 7.3.1. BFSI AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4. Healthcare & Life Sciences
    • 7.4.1. Healthcare & Life Sciences AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.5. Energy & Utilities
    • 7.5.1. Energy & Utilities AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.6. Manufacturing
    • 7.6.1. Manufacturing AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.7. IT & Telecommunications
    • 7.7.1. IT & Telecommunications AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.8. Aerospace & Defense
    • 7.8.1. Aerospace & Defense AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.9. Transportation & Logistics
    • 7.9.1. Transportation & Logistics AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.10. Others
    • 7.10.1. Others AI-Optimization for Quantum Computing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 8. AI-Optimization for Quantum Computing: Regional Estimates & Trend Analysis

  • 8.1. AI-Optimization for Quantum Computing Share, By Region, 2024 & 2033 (USD Million)
  • 8.2. North America
    • 8.2.1. North America AI-Optimization for Quantum Computing Estimates and Forecasts, 2021 - 2033 (USD Million)
      • 8.2.1.1. North America AI-Optimization for Quantum Computing Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
      • 8.2.1.2. North America AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.2.1.3. North America AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.2.1.4. North America AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.2.1.5. North America AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. U.S. AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.2.2.2. U.S. AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.2.2.3. U.S. AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.2.2.4. U.S. AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Canada AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.2.3.2. Canada AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.2.3.3. Canada AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.2.3.4. Canada AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.2.4. Mexico
      • 8.2.4.1. Mexico AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.2.4.2. Mexico AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.2.4.3. Mexico AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.2.4.4. Mexico AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
  • 8.3. Europe
    • 8.3.1. Europe AI-Optimization for Quantum Computing Estimates and Forecasts, 2021 - 2033 (USD Million)
      • 8.3.1.1. Europe AI-Optimization for Quantum Computing Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
      • 8.3.1.2. Europe AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.3.1.3. Europe AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.3.1.4. Europe AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.3.1.5. Europe AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.3.2. UK
      • 8.3.2.1. UK AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.3.2.2. UK AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.3.2.3. UK AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.3.2.4. UK AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.3.3. Germany
      • 8.3.3.1. Germany AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.3.3.2. Germany AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.3.3.3. Germany AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.3.3.4. Germany AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.3.4. France
      • 8.3.4.1. France AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.3.4.2. France AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.3.4.3. France AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.3.4.4. France AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific AI-Optimization for Quantum Computing Estimates and Forecasts, 2021 - 2033 (USD Million)
      • 8.4.1.1. Asia Pacific AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.4.1.2. Asia Pacific AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.4.1.3. Asia Pacific AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.4.1.4. Asia Pacific AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. China AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.4.2.2. China AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.4.2.3. China AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.4.2.4. China AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Japan AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.4.3.2. Japan AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.4.3.3. Japan AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.4.3.4. Japan AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. India AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.4.4.2. India AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.4.4.3. India AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.4.4.4. India AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.4.5. South Korea
      • 8.4.5.1. South Korea AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.4.5.2. South Korea AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.4.5.3. South Korea AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.4.5.4. South Korea AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.4.6. Australia
      • 8.4.6.1. Australia AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.4.6.2. Australia AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.4.6.3. Australia AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.4.6.4. Australia AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Latin America AI-Optimization for Quantum Computing Estimates and Forecasts, 2021 - 2033 (USD Million)
      • 8.5.1.1. Latin America AI-Optimization for Quantum Computing Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
      • 8.5.1.2. Latin America AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.5.1.3. Latin America AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.5.1.4. Latin America AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.5.1.5. Latin America AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Brazil AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.5.2.2. Brazil AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.5.2.3. Brazil AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.5.2.4. Brazil AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
  • 8.6. Middle East and Africa
    • 8.6.1. Middle East and Africa AI-Optimization for Quantum Computing Estimates and Forecasts, 2021 - 2033 (USD Million)
      • 8.6.1.1. Middle East and Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.6.1.2. Middle East and Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.6.1.3. Middle East and Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.6.1.4. Middle East and Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.6.2. UAE
      • 8.6.2.1. UAE AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.6.2.2. UAE AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.6.2.3. UAE AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.6.2.4. UAE AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.6.3. KSA
      • 8.6.3.1. KSA AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.6.3.2. KSA AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.6.3.3. KSA AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.6.3.4. KSA AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)
    • 8.6.4. South Africa
      • 8.6.4.1. South Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by Component, 2021 - 2033 (USD Million)
      • 8.6.4.2. South Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
      • 8.6.4.3. South Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
      • 8.6.4.4. South Africa AI-Optimization for Quantum Computing Estimates and Forecasts, by End Use, 2021 - 2033 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Participant's Overview
  • 9.4. Financial Performance
  • 9.5. Technology Benchmarking
  • 9.6. Company Heat Map Analysis
  • 9.7. Strategy Mapping
  • 9.8. Company Profiles/Listing
    • 9.8.1. Atos Quantum
      • 9.8.1.1. Participant's Overview
      • 9.8.1.2. Financial Performance
      • 9.8.1.3. Technology Benchmarking
      • 9.8.1.4. Recent Developments
    • 9.8.2. D-Wave Quantum Inc.
      • 9.8.2.1. Participant's Overview
      • 9.8.2.2. Financial Performance
      • 9.8.2.3. Technology Benchmarking
      • 9.8.2.4. Recent Developments
    • 9.8.3. Google LLC
      • 9.8.3.1. Participant's Overview
      • 9.8.3.2. Financial Performance
      • 9.8.3.3. Technology Benchmarking
      • 9.8.3.4. Recent Developments
    • 9.8.4. IBM Corporation
      • 9.8.4.1. Participant's Overview
      • 9.8.4.2. Financial Performance
      • 9.8.4.3. Technology Benchmarking
      • 9.8.4.4. Recent Developments
    • 9.8.5. Intel Corporation
      • 9.8.5.1. Participant's Overview
      • 9.8.5.2. Financial Performance
      • 9.8.5.3. Technology Benchmarking
      • 9.8.5.4. Recent Developments
    • 9.8.6. IonQ, Inc.
      • 9.8.6.1. Participant's Overview
      • 9.8.6.2. Financial Performance
      • 9.8.6.3. Technology Benchmarking
      • 9.8.6.4. Recent Developments
    • 9.8.7. Microsoft
      • 9.8.7.1. Participant's Overview
      • 9.8.7.2. Financial Performance
      • 9.8.7.3. Technology Benchmarking
      • 9.8.7.4. Recent Developments
    • 9.8.8. PsiQuantum
      • 9.8.8.1. Participant's Overview
      • 9.8.8.2. Financial Performance
      • 9.8.8.3. Technology Benchmarking
      • 9.8.8.4. Recent Developments
    • 9.8.9. Rigetti Computing, Inc.
      • 9.8.9.1. Participant's Overview
      • 9.8.9.2. Financial Performance
      • 9.8.9.3. Technology Benchmarking
      • 9.8.9.4. Recent Developments
    • 9.8.10. Xanadu Quantum Technologies
      • 9.8.10.1. Participant's Overview
      • 9.8.10.2. Financial Performance
      • 9.8.10.3. Technology Benchmarking
      • 9.8.10.4. Recent Developments
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