Rising demand for quantum computing from several industries including healthcare, automotive, entertainment, banking and finance, and aerospace & defence is expected to fuel market growth to during coming years. Quantum computing offer highly precise results by solving complex set of problems through high-end optimization. Protein Folding has gained significant traction across global landscape due high level of complexity associated with it that allow performing complex computing tasks efficiently. Asia Pacific is estimated to generate substantial revenue over the coming years owing to the rising economical development.
Additionally, Asia Pacific is considered as an emerging hub for several industries ranging from semiconductor & electronics to IT & telecommunication. Additionally, Asia Pacific has observed significant electronics sales over the past few years. Countries such as China, Japan, and South Korea are some of prominent manufacturers of consumer electronics products, thus driving industry growth to great extent in the region.
Major players dominating the global quantum computing market include D-Wave Systems Inc., QX Branch Co., IBM Co., Google Co., Huawei Technologies Co., Ltd., and Toshiba Research Europe Ltd.
The report titled “Quantum Computing Market - Global Market Share, Trends, Analysis and Forecasts, 2022-2032”, wherein 2020 is historic period, 2021 is the base year, and 2022 to 2032 is forecast period. Additionally, the study takes into consideration the competitive landscape, wherein the report would provide company overview and market outlook for leading players in the global quantum computing market. Furthermore, the report would reflect on the key developments, global & regional sales network, business strategies, security & exchange overview, research & development activities, production facilities, product portfolio, employee strength, and key executive, for all the players considered under the scope of study.
For instance, IBM reported revenues of US$ 79,591 Million in 2018 and the segment and geographic analysis of the company indicates that Cognitive Solutions segment is the dominating segment of the company in terms of gross margin, with Americas being the major revenue generating region.
Moreover, the quantum computing market study takes into consideration market segmentation based on component, deployment, technology, application, end use industry, and geography. Based on component, the market is segmented into hardware, services and software. Based on deployment, the market is segmented into cloud, on-premise and hybrid. Based on technology, the global quantum computing market is segmented into quantum annealing, superconducting, trapped ion and quantum dot. On the basis of application, the market is segmented into machine learning/deep learning, optimization, simulation & data modeling, and cyber security. Based on end use industry, the market is segmented into healthcare & life sciences, IT & telecom, manufacturing, BFSI, energy & utilities, aerospace & defense, and others. On the basis of geography, the market is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South America.
Additionally, the study provides in-depth analysis of individual company considered under the scope of study with a focus on all operating business segment, and would identify the segment of the company focusing on quantum computing. Further, market share of company in the global quantum computing market would also be calculated. For instance, IBM operates through six business segments namely Cognitive Solutions, Global Business Services, Technology Services & Cloud Platforms, Systems, Global Financing, and Others. Moreover, the company is focusing on developing the quantum computing devices under Systems business segment. The report study takes into consideration the key competitive information such as business strategy, product portfolio, key development, SWOT analysis, and research and development focus of all the quantum computing companies. Furthermore, the global quantum computing market study would take into consideration the participants engaged throughout the ecosystem of the market, along with their contribution.
Product portfolio would focus on all the products under the quantum computing business segment of the company. Similarly, the recent development section would focus on the latest developments of company such as strategic alliances and partnerships, merger and acquisition, new product launched and geographic expansion in the global quantum computing market arena. For instance, "IBM Research works with clients and the company’s business units through global labs on near-term and mid-term innovations. It delivers many new technologies to IBM’s portfolio every year and helps clients address their most difficult challenges. IBM Research scientists are conducting pioneering work in artificial intelligence, quantum computing, blockchain, security, cloud, nanotechnology, silicon and post-silicon computing architectures and more—applying these technologies across industries including financial services, healthcare, blockchain and IoT" as per company’s annual report.
Based on Component
Based on Deployment
Based on Technology
Trapped ion and quantum dot.
On the basis of Application
Machine learning/deep learning
Optimization, simulation & data modeling
Based on End Use industry
Healthcare & life sciences
IT & telecom, manufacturing
BFSI, Energy & utilities
Aerospace & defense
InsightSLICE adopts a research methodology which is highly meticulous and comprehensive, yielding accurate research results. Our research methodology utilizes data triangulation model which helps in the precise collection and validation of information. Our set processes for problem solving and paid primary tools guarantee that any client requirement is met with utmost diligence and accuracy. Some of the primary components that are consequential to our research approach are:
Secondary Research or Desk Research
Distinctive Data Model
Secondary Sources include but are not limited to:
Past Published Research
Historical Data and Information
Primary Sources include but are not limited to:
InsightSLICE also leverages three types of data triangulation approaches as follows:
Data Source Triangulation
Extracting data and validation from multiple type of secondary and primary sources
Combining various methodologies to validate data inputs
Applying different theories to check credibility of data sets