Thursday 29 November 2018

Global Quantum Computing Market Analysis and Value Forecast Snapshot by End-use Industry 2017-2022

ResearchMoz presents professional and in-depth study of "Quantum Computing: Technologies and Global Markets to 2022".

Summary

The market for quantum computing technologies was in its infancy in 2016. BCC Research estimates the global commercial market for quantum computing hardware, software and related services at about REDACTED in 2016, including approximately REDACTED for computer hardware and REDACTED for software. Some analysts believe the market to be larger, but their definition of the quantum computing market does not appear to meet BCC Researchs definition of a commercial market.

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BCC Research expects the worldwide commercial market for quantum computing technologies to increase from REDACTED in 2016 to at least REDACTED in 2017 and REDACTED by 2022, a CAGR of REDACTED between 2017 and 2022. By 2027, the market is expected to grow to REDACTED, a REDACTED CAGR between 2022 and 2027. In contrast to the 2016 market estimates, BCC Researchs projected growth rates are generally consistent with the CAGRs projected by other analysts.

Reasons for Doing This Study

Until recently, quantum computing was confined to the laboratory, with many experts predicting that commercial applications of quantum computing were years away. However, at the time this report was written in 2017, there was a growing consensus that the industry is on the verge of a breakout in quantum computing.

D-Wave, a Canadian company, has been selling quantum computers since 2010, but its computers are only capable of solving a limited range of problems. Other firms, including IBM, Alphabet Inc.s Google, Rigetti Computing of San Francisco, are developing so-called universal quantum computers, which will be capable of solving a wider range of problems.

Early in 2017, IBM introduced IBM Q, the first commercial universal quantum computer, which it plans to offer to fee-paying users in the near future. The earliest versions of IBM Q will not outperform conventional computers, but IBM hopes that the system will help to develop a market for future quantum computers that will be able to handle complex calculations beyond the capabilities of conventional computers.

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While these advances in quantum computing hold out the possibility of technology millions of times more powerful than conventional computers, the key to commercial success will be in applying quantum computing to real world problems. Therefore, this study focuses on future applications for quantum computing as a basis for understanding the potential market for quantum computers, related software and services.

Report Scope

The report focuses on the following end-user sectors and applications for quantum computing:
End-user sectors
- Government.
- Academic.
- Healthcare.
- Military.
- Geology/energy.
- Information technology.
- Transport/logistics.
- Finance/economics.
- Meteorology.
- Chemicals.
- Other.

Applications
- Basic research.
- Quantum simulation.
- Optimization problems.
- Sampling.

Report Includes

- 35 data tables
- Detailed study and an industry analysis of the global markets and technologies for quantum computing
- Analyses of global market trends with data from 2016, forecasts for 2017 to 2027, and projections of compound annual growth rates (CAGRs) through 2027
- Identification of the quantum computing technologies and products with the greatest commercial potential
- Segmentation of the global quantum computing market by technology type, end use, application sector, and geographical region

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- Technological assessment of the key drivers and constraints that will shape the market for quantum computing over the next ten years
- Examination of the companies that are best positioned to meet the demand for quantum computing technologies, because of proprietary technologies, strategic alliances or other advantages
- Profiles of the leading companies offering products and services related to quantum computing technologies, including D-Wave Systems, Intel Corp., International Business Machines Corp., Microsoft, and Amgen Inc

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