Global quantum computing in manufacturing market was estimated to be US$ 54.59 million in 2020 and is anticipated to reach US$ 627.44 million by 2030, growing at an estimated CAGR of 31.4% over the forecast period. Rising usage of semiconductor chip fabrication in various industrial applications is expected to drive the quantum computing in manufacturing market growth. Semiconductor chip fabrication uses machine learning and simple multi-variable analysis. Also, quantum computing technologies helps in analyzing additional interactive factors and processes to increase production yield.

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In the recent past, technologies like artificial intelligence and machine learning are bearing the load of such advanced planning systems and making them intelligent. With connected machines and integrations, artificial intelligence and machine learning powered solutions will need more computing power to handle data with higher velocities and variability to generate real-time outputs. Quantum computing guarantees to cater to challenges such as optimization scheduling, if-this-then-what” simulations and decreasing cushion time that manufacturers will soon face. This is because quantum computers can solve complex problems with extremely high speeds. The main idea of quantum computing is using Qubits. Qubits, unlike normal bits, can possess 0,1, or both states simultaneously. Given the extreme complexities and variables involved in international shipping routes and orchestrating supply chains, quantum computing could be well-placed to help tackle daunting logistics challenges. For instance, Airbus, one of the global aerospace corporations established a quantum computing unit in 2015 and has also invested in quantum software startup QC Ware and quantum computer maker IonQ. One area the company is looking at is quantum annealing for digital modeling and materials sciences. For example, a decent quantum computer could quickly filter through countless variables to help determine the most efficient wing design for an airplane.

The pandemic situation and shutdowns have been disastrous for many people and businesses. Quantum computers exploit the weird behavior of matter at the atomic level. One particle can store many pieces of information, allowing the computers, in effect, to perform many calculations simultaneously. They promise to solve problems that are out of reach of conventional machines, and to speed up modelling of chemical reactions in batteries or process design & optimization, or even simulations of information flow in black holes. Most quantum-computing research involves the study of qubit properties, quantum gate operations and their control. The large-scale development witnessed by emerging economies of APAC and the increased use of advanced technologies in the manufacturing sector is aiding the overall quantum computing in manufacturing market. COVID-19 taught us the importance of supply chains and logistics and such technologies helps in handling the manufacturing processes in an more efficient manner. Companies such as Daimler and Samsung are already using quantum computers to help research new materials for building better batteries. Areas such as risk modeling, materials science and advanced analytics for control processes are identified as key applications in the manufacturing space.

Quantum Computing in Manufacturing Market:

By Offerings

  • Hardware
  • Solutions
  • Services

By Application

  • Chemical Discovery
  • Logistics Optimization
  • Product Development
  • Supply Chain Planning
  • Strategic Logistics
  • Others

By End Users

  • Researchers
  • Manufacturers
  • Business
  • Developers
  • Others

By Organization Size

  • Small and Medium Sized Enterprises
  • Large Enterprises

By Geography

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

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