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Global Quantum Computer Software Market to reach USD billion by 2027.

Global Quantum Computer Software Market Size study, by Component (Systems Services, Quantum Computing as a Service (QCaaS), Consulting Services) by mode of Deployment (On Premises, Cloud Based), by organization size (SMEs, Large Enterprise) by application (Optimization, Simulation, Machine Learning, Others (Quantum Chemistry and Quantum Finance)), by technology (Trapped Ions, Quantum Annealing, Superconducting Qubits, Others (Topological and Photonic)), by end use (Banking & Finance, Space and Defense, Banking and Finance, Healthcare and Pharmaceuticals, Chemicals, Energy and Power, Transportation and Logistics, Academia, Government) and Regional Forecasts 2021-2027

Product Code: ICTEITS-58505564
Publish Date: 17-07-2021
Page: 200

Global Quantum Computer Software Market is valued at approximately USD billion in 2020 and is anticipated to grow with a healthy growth rate of more than % over the forecast period 2021-2027. Quantum computing operates on a phenomenon called superposition, that stores/processes both a 1 and a 0 concurrently, that is considerably more powerful contrasted to classical quantum computing system. Quantum computing is applicable in a vast range of functions and tasks which are very difficult to understand. It is known to have applications in the expansion of new drugs and materials, in creating complex systems, in cryptography, defense sector and cyber security as well. Along with this, the usage of quantum computing will also have important outcomes in expansion of artificial intelligence as well as machine learning. Early adoption of quantum computing in banking and finance industry is expected to fuel quantum computer software market. For instance, in October 2019, the Netherlands revealed its national agenda to turn into a leading player in quantum computing development. According to this program called Quantum Delta NL, the nation will have a budget of about $113M USD for previously existing programs and new investments for new action lines. Also, rise in investments in quantum computing is also propelling the market growth. Moreover, several key players are taking strategic initiatives to expand their presence in the market for instance,
• In September 2019, IQM-a quantum hardware provider partnered with JoS Quantum, a company delivering quantum computing software. This partnership enables IQM to provide hardware that are useful for some very specific requirement.
• In July 2019, Utimaco GmbH, partnered with ISARA to develop PQC (Post Quantum Cryptography) software provided by ISARA Corporation. This partnership provided their users to have encrypted and secured communications that cannot be decrypted by other computers.

However, stability and error correction issues may impede market growth over the forecast period of 2021-2027.

The regional analysis of the global Quantum Computer Software Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World (ROW)..
North America leads the global Quantum Computer Software Market and would maintain its market position throughout the forecast period. Factors such as the presence of key technology providers such as IBM Corporation, Intel, Google, and Several others and well established technology development centers in the region act as key drivers for the market. Rising R&D investments in developing quantum computers quantum computing applications and quantum computing maths fuel the market. The US accounts for the largest quantum computing market share in the region due to huge technological advances. Europe Holds the second largest share in the market. Substantial investments by market players along with the rising initiatives and funding by governments in various countries in this region, positively impact the growth of the quantum computing industry. Moreover, the presence of major players such as Cambridge Quantum Computing Ltd., influences the development of quantum technology in the region.

Major market player included in this report are:
D-Wave Systems Inc.
International Business Machines Corporation
Google Inc. (Alphabet Inc.)
Intel Corporation
Rigetti Computing
1QB Information Technologies Inc.
Anyon Systems Inc
Cambridge Quantum Computing Ltd.
IonQ Inc.
Microsoft

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Offering:
Systems Services
Quantum Computing as a Service (QCaaS)
Consulting Services

By Deployment :
On Premises
Cloud Based

By Technology:
Trapped Ions
Quantum Annealing
Superconducting Qubits
Others (Topological and Photonic)

By Application:
Optimization
Simulation
Machine Learning
Others (Quantum Chemistry and Quantum Finance)

By End Use:
Banking & Finance
Space and Defense
Banking and Finance
Healthcare and Pharmaceuticals
Chemicals
Energy and Power
Transportation and Logistics
Academia
Government

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018-19
Base year – 2019-2020
Forecast period – 2021 to 2027.

Target Audience of the Global Quantum Computer Software Market Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Quantum Computer Software Market, by Region, 2019-2027 (USD Billion)
1.2.2. Quantum Computer Software Market, by Component, 2019-2027 (USD Billion)
1.2.3. Quantum Computer Software Market, by Deployment Mode, 2019-2027 (USD Billion)

1.2.4. Quantum Computer Software Market by Organization Size , 2019-2017 (USD Billion)

1.2.5. Quantum Computer Software Market by, Technology, 2019-2017 (USD Billion)

1.2.6. Quantum Computer Software Market, by Application , 2019-2027 (USD Billion)

1.2.7. Quantum Computer Software Market, by End use, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Quantum Computer Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Quantum Computer Software Market Dynamics
3.1. Quantum Computer Software Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Early adoption of quantum computing in banking and finance industry
3.1.1.2. Rise in investment in quantum computing technology
3.1.1.3. Surge in number of strategic partnership and collaboration to carry out advancements in quantum computing technology
3.1.2. Market Restraint
3.1.2.1. Stability and error issues
3.1.3. Market Opportunities
3.1.3.1. Growing adoption of quantum computing technology in healthcare vertical
Chapter 4. Global Quantum Computer Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Quantum Computer Software Market, by Offerings
5.1. Market Snapshot
5.2. Global Quantum Computer Software Market by Offerings, Performance – Potential Analysis
5.3. Global Quantum Computer Software Market Estimates & Forecasts by Offering 2018-2027 (USD Billion)
5.4. Quantum Computer Software Market, Sub Segment Analysis
5.4.1. Systems
5.4.2. Services
(Quantum Computing as a Service (QCaaS)
Consulting Services)

Chapter 6. Global Quantum Computer Software Market, By Deployment
6.1. Market Snapshot
6.2. Global Quantum Computer Software Market by Deployment, Performance – Potential Analysis
6.3. Global Quantum Computer Software Market Estimates & Forecasts by Deployement 2018-2027 (USD Billion)
6.4. Quantum Computer Software Market, Sub Segment Analysis
6.4.1. On Premises
6.4.2. Cloud Based

Chapter 7. Global Quantum Computer Software Market, By Application

7.1. Market Snapshot
7.2. Global Quantum Computer Software Market by Application, Performance – Potential Analysis
7.3. Global Quantum Computer Software Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
7.4. Quantum Computer Software Market, Sub Segment Analysis
7.4.1. Optimization
7.4.2. Simulation
7.4.3. Machine Learning
7.4.4. Others (Quantum Chemistry and Quantum Finance)

Chapter 8. Global Quantum Computer Software Market, by Technology
8.1. Market Snapshot
8.2. Global Bot Global Quantum Computer Software Market by Technology, Performance – Potential Analysis
8.3. Global Quantum Computer Software Market Estimates & Forecasts by Technology 2018-2027 (USD Billion)
8.4. Quantum Computer Software Market, Sub Segment Analysis
8.4.1. Trapped Ions
8.4.2. Quantum Annealing
8.4.3. Superconducting Qubits
8.4.4. Others (Topological and Photonic)

Chapter 9. Global Quantum Computer Software Market, by End Use
9.1. Market Snapshot
9.2. Global Bot Global Quantum Computer Software Market by End Use, Performance – Potential Analysis
9.3. Global Quantum Computer Software Market Estimates & Forecasts by End Use 2018-2027 (USD Billion)
9.4. Quantum Computer Software Market, Sub Segment Analysis
9.4.1. Banking & Finance
9.4.2. Space and Defense
9.4.3. Banking and Finance
9.4.4. Healthcare and Pharmaceuticals
9.4.5. Chemicals
9.4.6. Energy and Power
9.4.7. Transportation and Logistics
9.4.8. Academia
9.4.9. Government

Chapter 10. Global Quantum Computer Software Market, Regional Analysis
10.1. Quantum Computer Software Market , Regional Market Snapshot
10.2. North America Quantum Computer Software Market
10.2.1. U.S. Quantum Computer Software Market
10.2.1.1. Type breakdown estimates & forecasts, 2018-2027
10.2.1.2. Application breakdown estimates & forecasts, 2018-2027
10.2.1.3. End use breakdown estimates & forecasts, 2018-2027
10.2.2. Canada Quantum Computer Software Market
10.3. Europe Quantum Computer Software Market Snapshot
10.3.1. U.K. Quantum Computer Software Market
10.3.2. Germany Quantum Computer Software Market
10.3.3. France Quantum Computer Software Market
10.3.4. Spain Quantum Computer Software Market
10.3.5. Italy Quantum Computer Software Market
10.3.6. Rest of Europe Quantum Computer Software Market
10.4. Asia-Pacific Quantum Computer Software Market Snapshot
10.4.1. China Quantum Computer Software Market
10.4.2. India Quantum Computer Software Market
10.4.3. Japan Quantum Computer Software Market
10.4.4. Australia Quantum Computer Software Market
10.4.5. South Korea Quantum Computer Software Market
10.4.6. Rest of Asia Pacific Quantum Computer Software Market
10.5. Latin America Quantum Computer Software Market Snapshot
10.5.1. Brazil Quantum Computer Software Market
10.5.2. Mexico Quantum Computer Software Market
10.6. Rest of The World Quantum Computer Software Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. D-Wave System Inc.
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Microsoft
11.2.3. International Business Machines Corporation
11.2.4. Google Inc. (Alphabet Inc.)
11.2.5. Intel Corporation
11.2.6. Rigetti Computing
11.2.7. 1QB Information Technologies Inc.
11.2.8. Anyon Systems Inc
11.2.9. Cambridge Quantum Computing Ltd.
11.2.10. IonQ Inc.
11.2.11. Research Application
11.3. Research Application
11.3.1. Data Mining
11.3.2. Analysis
11.3.3. Market Estimation
11.3.4. Validation
11.3.5. Publishing
11.4. Research Attributes
11.5. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
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Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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