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The Global Quantum Computing Market was valued at USD 490.51 Million in 2021

The Global Quantum Computing Market was valued at USD 490.51 Million in 2021, and it is expected to reach a value of USD 2,930.67 Million by 2028, at a CAGR of 30.70% over the forecast period (2022 - 2028).
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A rapidly evolving technology that links the laws of quantum mechanics, to solve very complex problems is known as quantum computing. Quantum computing machines are very fast processing as compared to commonly used computers in terms of data processing and collection. The superior handling comes from dividing the data into all values and compared to common computers that only break the data into 0 & 1 and no other value. Some of the quantum computing services include machine learning, cryptography, quantum simulation, and other algorithm development. These all allow quantum computing to be applied in various fields for generating better and more accurate results in a lower time frame which in turn is pushing the demand for the quantum computing market.

Global Quantum Computing Market Segmental Analysis
The Global Quantum Computing Market is segmented based on Component, Deployment, Application, End-user, and Region. Based on the Component, the market is segmented into Hardware, Software, and services. Based on Deployment, the market is segmented into On-Premise and Cloud-Base. Based on Application, the market is segmented into Machine learning, Data Optimization, Biomedical simulators, Financial Services, Electronic Material Discovery, and Others. Based on End-user, the market is segmented into Health Care, Banking Financial services & insurance (BFSI), Automotive Industry, Research, Energy & Utilities, Chemical Industry, Manufacturing, and other industries. Based on region, the Global Quantum Computing market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.
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Analysis by Component
The component hardware accounts for a major 53% of the worldwide quantum computing market in the year 2021. This is due to the growing demand from insurance (BFSI) and the research industry to run complex problems and get solutions to these critical problems in a short duration. Increasing trading transactions and data processing with discovering an efficient method for financial risk management also leads to increased demand for quantum computing hardware components.
Continuous increase in the number of new businesses and growing investment in the field of research & development activities in the field of quantum computing is also a reason for the rapid growth of the software and services segment during the analysis period. The use of ML technology in the various information technology fields to reduce the overall operational cost is fueling the demand for quantum computing during the forecast period.
Analysis by Application
The quantum computing market is segmented into various applications such as Machine learning, Data Optimization, Biomedical simulators, Financial Services, Electronic Material Discovery, and Others. Machine learning has dominated the market with 37% of the total revenue generated in 2021 and is expected to grow at the fastest CAGR during the analysis period. ML with data optimization is used in various fields to use the storage space efficiently by storing optimized and usable data which in turn saves a huge cost for the companies.

Top Player’s Company Profiles
• Intel Corporation (US)
• Rigetti & Co, Inc. (US)
• Google LLC (US)
• Quantica Computacao (India)
• Dematic (US)
• Krones AG (Germany)
• Zapata Computing (US)
• Xanadu (Canada)

Recent Developments
In April 2022, IBM Corporation, a US-based technology company unveiled its next-generation hybrid cloud and quantum computing technology that has an integrated AI-enabled chip that helps the clients analyze real-time transactions in critical works like credit cards, healthcare, and financial transactions using this technology.
In March 2022, Intel Corporation, a technology giant showcased its cryogenic water probe in the US. It is eligible for device characterization and enables rapid and statistically important data gathering of both regular transistor and quantum dot metrics.
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