The quantum computing market valued $507.1 million in 2019, from where it is projected to grow at a CAGR of 56.0% during 2020–2030 (forecast period), to ultimately reach $64,988.3 million by 2030. Machine learning (ML) is expected to progress at the highest CAGR, during the forecast period, among all application categories, owing to the fact that quantum computing is being integrated in ML for improving the latter’s use case.
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Government support for the development and deployment of the technology is a prominent trend in the quantum computing market, with companies as well as public bodies realizing the importance of a coordinated funding strategy. For instance, the National Quantum Initiative Act, which became a law in December 2018, included a funding of $1.2 billion from the U.S. House of Representatives for the National Quantum Initiative Program. The aim behind the funding was to facilitate the development of technology applications and quantum information science, over a 10-year period, by setting its priorities and goals.
Moreover, efforts are being made to come with standards for the quantum computing technology. Among the numerous standards being developed by the IEEE Standards Association Quantum Computing Working Group are the benchmarks and performance matrix, which would help in analyzing the performance of quantum computers against that of conventional computers. Other noteworthy standards are those related to the nomenclature and definitions, in order to create a common language for quantum computers.
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In 2019, the quantum computing market was dominated by the quantum annealing category, on the basis of technology. This is because the physical challenges in its development have been overcome, and it is now being deployed in larger systems. That year, the banking, financial services, and insurance (BFSI) division held the largest share in the market, on account of the rapid expansion of this industry. Additionally, banks and other financial institutions are quickly deploying this technology to make their business process streamlined as well as secure their data.
Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.3.1 Market Segmentation by Offering
1.3.2 Market Segmentation by Deployment Type
1.3.3 Market Segmentation by Application
1.3.4 Market Segmentation by Technology
1.3.5 Market Segmentation by Industry
1.3.6 Market Segmentation by Region
1.3.7 Analysis Period
1.3.8 Market Data Reporting Unit
1.3.8.1 Value
1.4 Key Stakeholders
Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.2.1 Breakdown of Primary Research Respondents
2.2.1.1 By region
2.2.1.2 By industry participant
2.2.1.3 By company type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study
