量子コンピューティング市場　2024-2032年

Report Overview

Growth Factors of Quantum Computing Market
The quantum computing market size was valued at USD 885.4 billion in 2023, and the market is now projected to grow from USD 1160.1 billion in 2024 to USD 12620.7 billion by 2032, exhibiting a CAGR of 34.8% during the forecast period of 2024-2032.

量子コンピューティングの市場規模は2023年に8,854億米ドルと評価されており、現在市場は2024年の11,601億米ドルから2032年までに126,207億米ドルに成長すると予測されており、2024年から2032年の予測期間中に34.8%のCAGRを示しています。

The COVID-19 pandemic had an enormous effect on the global spread of this particular product market. Second half quantum computing investments backed by venture capital and private equity rose dramatically. Future platforms are anticipated to be enabled by disruptive technologies such as artificial intelligence (AI), cloud computing, and others, given the aforementioned criteria. These factors affected the quantum computing market growth.
Governments all around the world are making significant investments in quantum technologies in an effort to motivate businesses and end users to fully utilize their potential. The amount invested shows how important technology is to scientific research, the security industry, and industry competitiveness. The increased adoption of cutting-edge quantum technology at home is facilitated by these grants. These factors affected the quantum computing market share.

New-age proliferating technological advancement is quantum computing. Lately, there has been a sharp rise in the number of patent applications related to quantum technology. Certain advancements have been attributing this particular market few of which are more and more patent applications, the quantum ecosystem performs better as a result of the growing expansion of patenting activities and computer technologies in a variety of technical and non-technical fields, including drug development, material engineering, and IT architectures.

Comprehensive Analysis of Quantum Computing Market
The software and hardware segments of the market are separated based on component. Cloud and on-premise deployment types are the two segments of the market. Market segments include biomedical simulations, financial services, machine learning, optimization, electronic material discovery, and others (traffic optimization, weather forecasting, and others) based on application. The market is split into manufacturing, healthcare, automotive, BFSI, energy and utilities, and others (transportation, logistics, and others) based on the end-user.
North America is expected to be the leading region of this particular product market and is anticipated to to grow over the forecasted period and also will continue to hold the largest market share. This particular region has attributed the furniture rental service market and has taken its revenue and share system number over the skies. The North American market has the greatest market share and has grown at a rapid rate over the projection period due to the early adoption of cutting-edge technology and a fiercely competitive industry. The willingness of end users to create cutting-edge services and the nations’ preparedness to embrace cloud computing have both favorably impacted the growth of the North American market.
Moderate market fragmentation exists. A few market players have been attributing this particular product market growth and share systems overall. IBM Corporation (U.S.), D-Wave Systems Inc. (Canada). Microsoft Corporation (U.S.), Intel Corporation (U.S.), and Rigetti & Co, Inc. (U.S.) are some of the major competitors of this particular product market.
In November 2023, This particular company has attributed the market growth in terms of revenue and shares system. NVIDIA and Terra Quantum, a quantum service provider, worked together to create applications that are accelerated by quantum computing. By utilizing hybrid algorithms, the agreement would aid in closing the gap between classical and quantum computing. This development has proved that the company will continue to proliferate this particular product market growth.

Segmentation Table

ATTRIBUTE DETAILS
Study Period 2019–2032
Base Year 2023
Forecast Period 2024–2032
Historical Period 2019–2022
Growth Rate CAGR of 34.8% from 2024 to 2032
Unit Value (USD Million)

Segmentation By Component
• Hardware
• Software

By Deployment
• On-premise
• Cloud

By Application
• Machine Learning
• Optimization
• Biomedical Simulations
• Financial Services
• Electronic Material Discovery
• Others (Traffic Optimization, Weather Forecasting, and Others)

By End-user
• Healthcare
• Banking, Financial Services and Insurance (BFSI)
• Automotive
• Energy and Utilities
• Chemical
• Manufacturing
• Others (Transportation, Logistics, and Others)

By Region
• North America (By Component, Deployment, Application, End-user, and Country)
o U.S. (By End-user)
o Canada (By End-user)
o Mexico (By End-user)
• Europe (By Component, Deployment, Application, End-user, and Country)
o U.K. (By End-user)
o Germany (By End-user)
o France (By End-user)
o Italy (By End-user)
o Spain (By End-user)
o Russia (By End-user)
o Benelux (By End-user)
o Nordics (By End-user)
o Rest of Europe
• Asia Pacific (By Component, Deployment, Application, End-user, and Country)
o China (By End-user)
o India (By End-user)
o Japan (By End-user)
o South Korea (By End-user)
o ASEAN (By End-user)
o Oceania (By End-user)
o Rest of Asia Pacific
• Middle East & Africa (By Component, Deployment, Application, End-user, and Country)
o Turkey (By End-user)
o Israel (By End-user)
o GCC (By End-user)
o North Africa (By End-user)
o South Africa (By End-user)
o Rest of the Middle East & Africa
• South America (By Component, Deployment, Application, End-user, and Country)
o Brazil (By End-user)
o Argentina (By End-user)
o Rest of South America

Table of Contents

1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of Generative AI
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Quantum Computing Key Players Market Share/Ranking, 2023
5. Global Quantum Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Component (USD)
5.2.1. Hardware
5.2.2. Software
5.3. By Deployment (USD)
5.3.1. On-Premise
5.3.2. Cloud-Based
5.4. By Application (USD)
5.4.1. Machine Learning
5.4.2. Optimization
5.4.3. Biomedical Simulations
5.4.4. Financial Services
5.4.5. Electronic Material Discovery
5.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
5.5. By End User (USD)
5.5.1. Healthcare
5.5.2. Banking, Financial Services and Insurance (BFSI)
5.5.3. Automotive
5.5.4. Energy and Utilities
5.5.5. Chemical
5.5.6. Manufacturing
5.5.7. Others (Transportation, Logistics, etc.)
5.6. By Region (USD)
5.6.1. North America
5.6.2. Europe
5.6.3. Asia Pacific
5.6.4. Middle East & Africa
5.6.5. South America
6. North America Quantum Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Component (USD)
6.2.1. Hardware
6.2.2. Software
6.3. By Deployment (USD)
6.3.1. On-Premise
6.3.2. Cloud-Based
6.4. By Application (USD)
6.4.1. Machine Learning
6.4.2. Optimization
6.4.3. Biomedical Simulations
6.4.4. Financial Services
6.4.5. Electronic Material Discovery
6.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
6.5. By End User (USD)
6.5.1. Healthcare
6.5.2. Banking, Financial Services and Insurance (BFSI)
6.5.3. Automotive
6.5.4. Energy and Utilities
6.5.5. Chemical
6.5.6. Manufacturing
6.5.7. Others (Transportation, Logistics, etc.)
6.6. By Country (USD)
6.6.1. United States
6.6.1.1. By End User
6.6.2. Canada
6.6.2.1. By End User
6.6.3. Mexico
6.6.3.1. By End User
7. Europe Quantum Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Component (USD)
7.2.1. Hardware
7.2.2. Software
7.3. By Deployment (USD)
7.3.1. On-Premise
7.3.2. Cloud-Based
7.4. By Application (USD)
7.4.1. Machine Learning
7.4.2. Optimization
7.4.3. Biomedical Simulations
7.4.4. Financial Services
7.4.5. Electronic Material Discovery
7.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
7.5. By End User (USD)
7.5.1. Healthcare
7.5.2. Banking, Financial Services and Insurance (BFSI)
7.5.3. Automotive
7.5.4. Energy and Utilities
7.5.5. Chemical
7.5.6. Manufacturing
7.5.7. Others (Transportation, Logistics, etc.)
7.6. By Country (USD)
7.6.1. United Kingdom
7.6.1.1. By End User
7.6.2. Germany
7.6.2.1. By End User
7.6.3. France
7.6.3.1. By End User
7.6.4. Italy
7.6.4.1. By End User
7.6.5. Spain
7.6.5.1. By End User
7.6.6. Russia
7.6.6.1. By End User
7.6.7. Benelux
7.6.7.1. By End User
7.6.8. Nordics
7.6.8.1. By End User
7.6.9. Rest of Europe
8. Asia Pacific Quantum Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Component (USD)
8.2.1. Hardware
8.2.2. Software
8.3. By Deployment (USD)
8.3.1. On-Premise
8.3.2. Cloud-Based
8.4. By Application (USD)
8.4.1. Machine Learning
8.4.2. Optimization
8.4.3. Biomedical Simulations
8.4.4. Financial Services
8.4.5. Electronic Material Discovery
8.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
8.5. By End User (USD)
8.5.1. Healthcare
8.5.2. Banking, Financial Services and Insurance (BFSI)
8.5.3. Automotive
8.5.4. Energy and Utilities
8.5.5. Chemical
8.5.6. Manufacturing
8.5.7. Others (Transportation, Logistics, etc.)
8.6. By Country (USD)
8.6.1. China
8.6.1.1. By End User
8.6.2. India
8.6.2.1. By End User
8.6.3. Japan
8.6.3.1. By End User
8.6.4. South Korea
8.6.4.1. By End User
8.6.5. ASEAN
8.6.5.1. By End User
8.6.6. Oceania
8.6.6.1. By End User
8.6.7. Rest of Asia Pacific
9. Middle East & Africa Quantum Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Component (USD)
9.2.1. Hardware
9.2.2. Software
9.3. By Deployment (USD)
9.3.1. On-Premise
9.3.2. Cloud-Based
9.4. By Application (USD)
9.4.1. Machine Learning
9.4.2. Optimization
9.4.3. Biomedical Simulations
9.4.4. Financial Services
9.4.5. Electronic Material Discovery
9.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
9.5. By End User (USD)
9.5.1. Healthcare
9.5.2. Banking, Financial Services and Insurance (BFSI)
9.5.3. Automotive
9.5.4. Energy and Utilities
9.5.5. Chemical
9.5.6. Manufacturing
9.5.7. Others (Transportation, Logistics, etc.)
9.6. By Country (USD)
9.6.1. Turkey
9.6.1.1. By End User
9.6.2. Israel
9.6.2.1. By End User
9.6.3. GCC
9.6.3.1. By End User
9.6.4. North Africa
9.6.4.1. By End User
9.6.5. South Africa
9.6.5.1. By End User
9.6.6. Rest of MEA
10. South America Quantum Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Component (USD)
10.2.1. Hardware
10.2.2. Software
10.3. By Deployment (USD)
10.3.1. On-Premise
10.3.2. Cloud-Based
10.4. By Application (USD)
10.4.1. Machine Learning
10.4.2. Optimization
10.4.3. Biomedical Simulations
10.4.4. Financial Services
10.4.5. Electronic Material Discovery
10.4.6. Other (Traffic Optimization, Weather Forecasting, etc.)
10.5. By End User (USD)
10.5.1. Healthcare
10.5.2. Banking, Financial Services and Insurance (BFSI)
10.5.3. Automotive
10.5.4. Energy and Utilities
10.5.5. Chemical
10.5.6. Manufacturing
10.5.7. Others (Transportation, Logistics, etc.)
10.6. By Country (USD)
10.6.1. Brazil
10.6.1.1. By End User
10.6.2. Argentina
10.6.2.1. By End User
10.6.3. Rest of Latin America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. IBM Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. D-Wave Systems Inc.
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Microsoft Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Intel Corporation
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Rigetti & Co, Inc.
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Google LLC
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. QC Ware
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Quantinuum Ltd.
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Riverlane
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. IonQ
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways

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