INFORMATION & COMMUNICATION TECHNOLOGY
Global Quantum Computing Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Quantum Computing Market, By Offering (Systems, Services), Deployment (On-premises, Cloud), Component (Solutions, Services, Quantum as a Service, Consulting Services), Technology (Trapped Ions, Quantum Annealing, Superconducting Qubits, Photonic Networks, Others), Application (Machine Learning, Optimization, Biomedical Simulations, Financial Services, Electronic Material Discovery, Others (Traffic Optimization, Weather Forecasting, and Others)), Organization Size (SMEs, Large Enterprises), End User (Healthcare, Banking, Financial Services and Insurance (BFSI), Automotive, Energy and Utilities, Chemical, Manufacturing, Others (Transportation, Logistics, and Others)), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global quantum computing market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
Quantum computing is a cutting-edge computer science area that processes information using quantum physics concepts. Quantum computers employ quantum bits, also known as qubits, as opposed to classical computers, which use bits to represent information as either 0 or 1. Due to their ability to be entangled and exist in several states concurrently—a feature known as quantum superposition—these qubits may execute complicated computations tenfold quicker than conventional computers under specific situations.The Quantum Computing market includes the design, manufacture, and deployment of quantum computing hardware, software, and services. The promise to tackle issues that are now unsolvable for conventional computers has prompted involvement in key fields like as material science, finance, pharmaceuticals, and encryption.
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Potential to solve complex problems faster than classical computing.
- Rise in demand for secure communication and cryptography.
RESTRAINTS
- High cost of quantum computing infrastructure and development.
- Technical challenges in scaling quantum systems.
OPPORTUNITIES
- Expansion of quantum computing applications beyond research labs.
- Collaboration between tech giants and startups in quantum technology.
CHALLENGES
- Achieving quantum supremacy reliably and consistently.
- Mitigating quantum decoherence and error rates.
SEGMENTATION
- Offering
- Systems
- Services
- Deployment
- On-premises
- Cloud
- Component
- Solutions
- Services
- Quantum as a Service
- Consulting Services
- Technology
- Trapped Ions
- Quantum Annealing
- Superconducting Qubits
- Photonic Networks
- Others
- Application
- Machine Learning
- Optimization
- Biomedical Simulations
- Financial Services
- Electronic Material Discovery
- Others (Traffic Optimization, Weather Forecasting, and Others)
- Organization Size
- SMEs
- Large Enterprises
- End User
- Healthcare
- Banking, Financial Services and Insurance (BFSI)
- Automotive
- Energy and Utilities
- Chemical
- Manufacturing
- Others (Transportation, Logistics, and Others)
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Accenture Plc.
- D-WaveSystem Inc.
- Google LLC
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Quantinuum Ltd.
- Rigetti & Co, Inc.
- Riverlane
- Zapata Computing
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Quantum Computing Market, by Offering
- 3.2 Global Quantum Computing Market, by Deployment
- 3.3 Global Quantum Computing Market, by Component
- 3.4 Global Quantum Computing Market, by Technology
- 3.5 Global Quantum Computing Market, by Application
- 3.6 Global Quantum Computing Market, by Organization Size
- 3.7 Global Quantum Computing Market, by End User
- 3.8 Global Quantum Computing Market, by Geography
- 3.9 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Increasing investments in quantum computing research and development.
- 5.1.2 Advancements in quantum algorithms and software.
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Potential to solve complex problems faster than classical computing.
- 5.2.2 Rise in demand for secure communication and cryptography.
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High cost of quantum computing infrastructure and development.
- 5.3.2 Technical challenges in scaling quantum systems.
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Expansion of quantum computing applications beyond research labs.
- 5.4.2 Collaboration between tech giants and startups in quantum technology.
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Achieving quantum supremacy reliably and consistently.
- 5.5.2 Mitigating quantum decoherence and error rates.
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL QUANTUM COMPUTING MARKET, BY OFFERING
- 6.1 Offering Summary
- 6.2 Market Attractive Index
- 6.3 Global Quantum Computing Market, by Offering (2019-2032)
- SECTION 7 - GLOBAL QUANTUM COMPUTING MARKET, BY DEPLOYMENT
- 7.1 Deployment Summary
- 7.2 Market Attractive Index
- 7.3 Global Quantum Computing Market, by Deployment (2019-2032)
- SECTION 8 - GLOBAL QUANTUM COMPUTING MARKET, BY COMPONENT
- 8.1 Component Summary
- 8.2 Market Attractive Index
- 8.3 Global Quantum Computing Market, by Component (2019-2032)
- SECTION 9 - GLOBAL QUANTUM COMPUTING MARKET, BY TECHNOLOGY
- 9.1 Technology Summary
- 9.2 Market Attractive Index
- 9.3 Global Quantum Computing Market, by Technology (2019-2032)
- SECTION 10 - GLOBAL QUANTUM COMPUTING MARKET, BY APPLICATION
- 10.1 Application Summary
- 10.2 Market Attractive Index
- 10.3 Global Quantum Computing Market, by Application (2019-2032)
- SECTION 11 - GLOBAL QUANTUM COMPUTING MARKET, BY ORGANIZATION SIZE
- 11.1 Organization Size Summary
- 11.2 Market Attractive Index
- 11.3 Global Quantum Computing Market, by Organization Size (2019-2032)
- SECTION 12 - GLOBAL QUANTUM COMPUTING MARKET, BY END USER
- 12.1 End User Summary
- 12.2 Market Attractive Index
- 12.3 Global Quantum Computing Market, by End User (2019-2032)
- SECTION 13 - GLOBAL QUANTUM COMPUTING MARKET, BY GEOGRAPHY
- 13.1 Regional Summary
- 13.2 Market Attractive Index
- 13.3 Global Quantum Computing Market, by Geography (2019-2032)
- SECTION 14 - NORTH AMERICA QUANTUM COMPUTING MARKET
- 14.1 North America Summary
- 14.2 Market Attractive Index
- 14.3 North America Quantum Computing Market, by Offering (2019-2032)
- 14.4 North America Quantum Computing Market, by Deployment (2019-2032)
- 14.5 North America Quantum Computing Market, by Component (2019-2032)
- 14.6 North America Quantum Computing Market, by Technology (2019-2032)
- 14.7 North America Quantum Computing Market, by Application (2019-2032)
- 14.8 North America Quantum Computing Market, by Organization Size (2019-2032)
- 14.9 North America Quantum Computing Market, by End User (2019-2032)
- 14.10 North America Quantum Computing Market, by Country (2019-2032)
- 14.10.1 U.S.
- 14.10.2 Canada
- 14.10.3 Mexico
- 14.10.4 Rest of North America
- SECTION 15 - EUROPE QUANTUM COMPUTING MARKET
- 15.1 Europe Summary
- 15.2 Market Attractive Index
- 15.3 Europe Quantum Computing Market, by Offering (2019-2032)
- 15.4 Europe Quantum Computing Market, by Deployment (2019-2032)
- 15.5 Europe Quantum Computing Market, by Component (2019-2032)
- 15.6 Europe Quantum Computing Market, by Technology (2019-2032)
- 15.7 Europe Quantum Computing Market, by Application (2019-2032)
- 15.8 Europe Quantum Computing Market, by Organization Size (2019-2032)
- 15.9 Europe Quantum Computing Market, by End User (2019-2032)
- 15.10 Europe Quantum Computing Market, by Country (2019-2032)
- 15.10.1 Germany
- 15.10.2 U.K.
- 15.10.3 France
- 15.10.4 Italy
- 15.10.5 Spain
- 15.10.6 Russia
- 15.10.7 The Netherlands
- 15.10.8 Belgium
- 15.10.9 Turkey
- 15.10.10 Rest of Europe
- SECTION 16 - ASIA-PACIFIC QUANTUM COMPUTING MARKET
- 16.1 Asia-Pacific Summary
- 16.2 Market Attractive Index
- 16.3 Asia-Pacific Quantum Computing Market, by Offering (2019-2032)
- 16.4 Asia-Pacific Quantum Computing Market, by Deployment (2019-2032)
- 16.5 Asia-Pacific Quantum Computing Market, by Component (2019-2032)
- 16.6 Asia-Pacific Quantum Computing Market, by Technology (2019-2032)
- 16.7 Asia-Pacific Quantum Computing Market, by Application (2019-2032)
- 16.8 Asia-Pacific Quantum Computing Market, by Organization Size (2019-2032)
- 16.9 Asia-Pacific Quantum Computing Market, by End User (2019-2032)
- 16.10 Asia-Pacific Quantum Computing Market, by Country (2019-2032)
- 16.10.1 China
- 16.10.2 India
- 16.10.3 Japan
- 16.10.4 South Korea
- 16.10.5 Singapore
- 16.10.6 Malaysia
- 16.10.7 Australia
- 16.10.8 Thailand
- 16.10.9 Philippines
- 16.10.10 Rest of Asia-Pacific
- SECTION 17 - SOUTH AMERICA QUANTUM COMPUTING MARKET
- 17.1 South America Summary
- 17.2 Market Attractive Index
- 17.3 South America Quantum Computing Market, by Offering (2019-2032)
- 17.4 South America Quantum Computing Market, by Deployment (2019-2032)
- 17.5 South America Quantum Computing Market, by Component (2019-2032)
- 17.6 South America Quantum Computing Market, by Technology (2019-2032)
- 17.7 South America Quantum Computing Market, by Application (2019-2032)
- 17.8 South America Quantum Computing Market, by Organization Size (2019-2032)
- 17.9 South America Quantum Computing Market, by End User (2019-2032)
- 17.10 South America Quantum Computing Market, by Country (2019-2032)
- 17.10.1 Brazil
- 17.10.2 Argentina
- 17.10.3 Chile
- 17.10.4 Colombia
- 17.10.5 Rest of South America
- SECTION 18 - MIDDLE EAST AND AFRICA QUANTUM COMPUTING MARKET
- 18.1 Middle East and Africa Summary
- 18.2 Market Attractive Index
- 18.3 Middle East and Africa Quantum Computing Market, by Offering (2019-2032)
- 18.4 Middle East and Africa Quantum Computing Market, by Deployment (2019-2032)
- 18.5 Middle East and Africa Quantum Computing Market, by Component (2019-2032)
- 18.6 Middle East and Africa Quantum Computing Market, by Technology (2019-2032)
- 18.7 Middle East and Africa Quantum Computing Market, by Application (2019-2032)
- 18.8 Middle East and Africa Quantum Computing Market, by Organization Size (2019-2032)
- 18.9 Middle East and Africa Quantum Computing Market, by End User (2019-2032)
- 18.10 Middle East and Africa Quantum Computing Market, by Country (2019-2032)
- 18.10.1 Kingdom of Saudi Arabia
- 18.10.2 South Africa
- 18.10.3 U.A.E.
- 18.10.4 Egypt
- 18.10.5 Rest of Middle East and Africa
- SECTION 19 - COMPANY SHARE ANALYSIS
- 19.1 Global Quantum Computing Market, Company Share Analysis
- 19.2 North America Quantum Computing Market, Company Share Analysis
- 19.3 Europe Quantum Computing Market, Company Share Analysis
- 19.4 Asia-Pacific Quantum Computing Market, Company Share Analysis
- SECTION 20 - COMPANY PROFILES
- 20.1 Accenture Plc.
- 20.1.1 Company Snapshot
- 20.1.2 Financial Overview
- 20.1.3 Product Portfolio
- 20.1.4 Recent Developments
- 20.2 D-WaveSystem Inc.
- 20.2.1 Company Snapshot
- 20.2.2 Financial Overview
- 20.2.3 Product Portfolio
- 20.2.4 Recent Developments
- 20.3 Google LLC
- 20.3.1 Company Snapshot
- 20.3.2 Financial Overview
- 20.3.3 Product Portfolio
- 20.3.4 Recent Developments
- 20.4 IBM Corporation
- 20.4.1 Company Snapshot
- 20.4.2 Financial Overview
- 20.4.3 Product Portfolio
- 20.4.4 Recent Developments
- 20.5 Intel Corporation
- 20.5.1 Company Snapshot
- 20.5.2 Financial Overview
- 20.5.3 Product Portfolio
- 20.5.4 Recent Developments
- 20.6 Microsoft Corporation
- 20.6.1 Company Snapshot
- 20.6.2 Financial Overview
- 20.6.3 Product Portfolio
- 20.6.4 Recent Developments
- 20.7 Quantinuum Ltd.
- 20.7.1 Company Snapshot
- 20.7.2 Financial Overview
- 20.7.3 Product Portfolio
- 20.7.4 Recent Developments
- 20.8 Rigetti & Co, Inc.
- 20.8.1 Company Snapshot
- 20.8.2 Financial Overview
- 20.8.3 Product Portfolio
- 20.8.4 Recent Developments
- 20.9 Riverlane
- 20.9.1 Company Snapshot
- 20.9.2 Financial Overview
- 20.9.3 Product Portfolio
- 20.9.4 Recent Developments
- 20.10 Zapata Computing
- 20.10.1 Company Snapshot
- 20.10.2 Financial Overview
- 20.10.3 Product Portfolio
- 20.10.4 Recent Developments
- SECTION 21 - RELATED REPORTS
- SECTION 22 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.