Introduction

Quantum Computing Statistics: Quantum computing, is rooted in the principles of quantum mechanics. Employs quantum bits (qubits) that can exist in superposition (representing both 0 and 1 simultaneously) and be entangled.

Enabling them to perform complex calculations using quantum gates and algorithms. Notably, quantum computers have the potential to outpace classical counterparts in specific tasks, known as quantum supremacy.

With applications spanning cryptography, optimization, drug discovery, and fundamental physics simulations.

However, the field faces significant challenges, including error correction and practical implementation. As it progresses toward unlocking the full scope of its transformative capabilities.

The revenues for the global quantum computing market are projected to reach 8.6 billion U.S. dollars by 2027. The market was worth 412 million U.S. dollars in 2020.

The statistic shows the number of qubits achieved over time by various organizations and companies in quantum computers. Google's Sycamore quantum computer has ** qubits. The same amount as a recently unveiled new quantum computer by IBM.

According to a 2022 survey, 100 percent of respondents from the scientific and technical services industry reported exploring quantum computing for better performance and business results, a trend that was also observed in the biopharma industry. Organizations in the scientific and technical services as well as the chemicals and materials industries are also interested in workforce development, as highlighted by 80 percent of respondents from these industries.

The global quantum Computing Market size is expected to grow from USD 1,218.91 Million in 2024 to USD 12,478.00 Million by 2031, at a CAGR of 39.2% from 2024 to 2031.

As per Cognitive Market Research's latest published report, the Global Quantum Computing market size will be $4.67 billion by 2030. Quantum Computing Industry's Compound Annual Growth Rate will be 32.54% from 2023 to 2030. What is Driving Quantum Computing Market?

The global quantum computing is witnessing significant traction mainly due to the widespread applications in the aerospace & defense sector for space exploration verification, critical modeling, and aerodynamic performance simulation. Additionally, increasing implementations of machine learning and quantum computers to detect recurring patterns drive the market growth exponentially. Rising quantum computing market demand from sectors such as BFSI, defense, and automotive fosters the growth of the market. Moreover, the increasing rate of cybercrimes and stringent government initiatives for the development of this technology are major driving forces behind the market growth.

Government organizations across the globe are making major investments in quantum technologies to encourage companies and end-users to harness the power of these technologies. They are also promising noteworthy funding to advance quantum technologies domestically.

Restraints:

The complexity of quantum computing implementation is the major factor restraining the growth of the market. Furthermore, compatibility issues and quantum entanglement during network communication are challenging the growth of the market. Quantum computing is still an emerging concept, and the area around the globe is shrinking.

COVID-19 Impact:

The outbreak of the COVID-19 pandemic has accelerated digitization globally. As the global economy struggles to adapt to the changes brought about by the pandemic, industries across industries are struggling to maintain the momentum of their digital transformation to accommodate the new normal of implementing remote workstations. In this case, quantum computing remains a major attribute of solid research strength. The company has invested heavily in gaining strong technical expertise due to its proximity to Asian markets.

The investment involved data center and cloud computing companies such as Google, Oracle and Cisco Systems. Industry experts assert that quantum computing holds great potential in areas as diverse as medical research, financial modelling, artificial intelligence, traffic loss optimization, and that CEA of the quantum computing skills gap could play an important role in tackling climate change. Innovative industry players are already actively looking for more applications for quantum computing, such as drug development and the fight against climate change. Gehu thus fuels the market, making it gain enormous traction and investment. What is Quantum Computing?

Quantum computing is a type of computing that focuses on developing computer technologies that use quantum physics to process information at the atomic and subatomic level. It is a rapidly emerging advanced technology that follows the laws of quantum mechanical procedures to solve more complex problems. Computers have been used for calculations based on ideas from quantum physics. It differs from traditional computing in terms of speed, bits and data. Classical computing uses two bits, 0 and 1, but the system uses all states between 0 and 1, resulting in better results and faster processing. Quantum computers are expected to facilitate discoveries in fields as diverse as energy, healthcare, smart materials, environmental systems, and more.

Topological Quantum Computing Market Outlook

The global topological quantum computing market size was valued at approximately USD 523 million in 2023 and is projected to reach around USD 2.83 billion by 2032, growing at an impressive CAGR of 20.8% during the forecast period. The significant growth factor driving this market is the increasing demand for advanced computational capabilities that surpass classical computing limitations. This technology holds the promise to revolutionize various sectors by providing unparalleled processing power and solving complex problems more efficiently than traditional computing paradigms.

The growth of the topological quantum computing market is majorly driven by advancements in quantum error correction techniques, which significantly enhance the reliability and stability of quantum computations. Topological quantum computers leverage anyons and non-Abelian statistics, which are inherently resistant to local perturbations, thus reducing the errors commonly associated with quantum computing. These advancements are crucial for practical quantum computing applications, and they attract substantial investments from both private and public sectors, further fueling market growth.

Another crucial growth factor is the increasing collaboration between academia, industry, and government bodies to accelerate the research and development of quantum technologies. These partnerships lead to significant breakthroughs in quantum hardware, software, and algorithms, making topological quantum computing more accessible and viable for various applications. Moreover, the establishment of quantum research centers and consortiums worldwide encourages the sharing of knowledge and resources, expediting the overall progress in the field.

The growing interest from major technology companies in integrating quantum computing into their service offerings is also expected to drive market growth. Firms like IBM, Google, and Microsoft are investing heavily in quantum computing research, developing both hardware and software solutions. These efforts aim to create a comprehensive quantum ecosystem that can be utilized across different industries, from cryptography to healthcare. The competitive landscape, marked by these key players, fosters innovation and accelerates the pace of commercializing topological quantum computing solutions.

Quantum Computing and Cryptography are becoming increasingly intertwined as the potential of quantum computers to break traditional cryptographic codes becomes more apparent. This has led to a surge in research focused on developing quantum-resistant encryption methods, which leverage the principles of quantum mechanics to create secure communication channels. The urgency to safeguard data in a quantum era is driving significant investments and advancements in this field, as organizations strive to protect sensitive information from potential quantum threats. As quantum computing continues to evolve, the need for robust cryptographic solutions will only grow, making this a critical area of focus for both researchers and industry leaders.

Regional outlook highlights the dominance of North America in the topological quantum computing market, primarily due to substantial investments in quantum technology research and the presence of leading tech companies. Europe follows closely, with significant contributions from countries like Germany, the UK, and France. The Asia Pacific region is also emerging as a vital player, with countries like China and Japan investing heavily in quantum technology. These regions are expected to witness significant growth rates, contributing to the global expansion of the market.

Component Analysis

The component segment in the topological quantum computing market is divided into hardware, software, and services. The hardware segment is fundamental to the market as it involves the physical devices and infrastructure required for quantum computations. This includes quantum processors, qubits, and error correction circuits, all of which are essential for building a robust quantum system. The advancements in quantum hardware, such as the development of stable qubits and topological insulators, are pivotal in driving the market growth. Major tech giants are heavily investing in R&D to improve the performance and scalability of quantum hardware, making it a cornerstone of the market.

Software is another critical component, encompas

The universal quantum computer market is experiencing explosive growth, driven by advancements in qubit technology, increased investment in research and development, and growing interest from both the public and private sectors. While precise market sizing data for the universal quantum computer segment isn't readily available (often lumped into broader quantum computing categories), we can infer significant potential. Considering a global quantum computing market size of, for example, $1 billion in 2025 with a compound annual growth rate (CAGR) of 30% (a conservative estimate considering the technological leaps), and assuming universal quantum computers represent a substantial, though not yet dominant, portion (say, 20%) of this market, we estimate the 2025 market value for universal quantum computers at $200 million. This segment is poised for exceptionally rapid growth, potentially exceeding $1 billion by 2030. Key drivers include the promise of solving currently intractable computational problems in fields like materials science, drug discovery, and financial modeling. Trends include the increasing integration of quantum computing into cloud platforms, the development of more fault-tolerant qubits, and the emergence of hybrid classical-quantum algorithms. However, restraints remain: high development costs, the need for specialized infrastructure, and the complexity of quantum algorithm development. The competitive landscape is highly dynamic, with both established tech giants like IBM and Microsoft and innovative startups like D-Wave and Rigetti competing to establish market leadership. Geographic distribution likely mirrors the general technology landscape, with North America and Europe currently holding the largest market share, followed by Asia-Pacific regions showing rapid growth. The study period from 2019-2033 reveals a trajectory of accelerating growth, indicating the transition from early-stage research to a commercially relevant industry. The forecast period (2025-2033) will be defined by successful commercial deployments, the maturation of quantum algorithms, and increased accessibility through cloud-based solutions. This combination of factors is expected to fuel the rapid expansion of the universal quantum computer market, solidifying its place as a transformative technology in the coming decade.

The global Cloud-Based Quantum Computing Market size is forecasted to grow at a CAGR of 38.5% between 2025 and 2032, reaching USD 169.9 Billion by 2032 from USD 49.19 Billion in 2024 and USD 56.55 Billion in 2025.

This is Image Data for Exp 31 to 45 described from "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms". Raw image files are in TIF format, constituting a list of image files structured as a three-dimensional array. The first two dimensions denote the image, while the third dimension represents the stack of images across experimental repetitions. Due to the substantial file size, raw data is segmented into multiple files for the same experiments, named as ‘Exp{Exp#}_X{#}.tif’, where Exp# corresponds to the experiment index, and # is assigned in sequential order. The raw data can be utilized to generate fluorescence data (‘flouAreshape’) and digitized data (‘floudigreshape’), provided in https://doi.org/10.6084/m9.figshare.23828004, using the code (‘Digitze_Data.m’) available on https://doi.org/10.6084/m9.figshare.23911368.Finding the maximum independent set (MIS) of a large-size graph is a nondeterministic polynomial-time (NP)-complete problem not efficiently solvable with classical computations but may be suitable for quantum computation. In recent years, there are growing interests in using Rydberg-atom arrays to solve the MIS problem. Here, we report a set of quantum adiabatic computing data of Rydberg-atom experiments performed with up to 141 atoms randomly arranged on the King’s lattice. A total of 582,916 events of Rydberg-atom measurements are collected for experimental MIS solutions of 733,853 different graphs. We provide the raw image data along with the entire binary determinations of the measured many-body ground states and the classified graph data, to offer bench-mark testing and advanced data-driven analyses for validation of the performance of the Rydberg-atom approach as well as system improvements.

Data representing intermediate and final results of the systematic mapping study entitled "Warm-Starting and Quantum Computing: A Systematic Mapping Study". The data is prepared in a folder structure. It is recommended to change the files view to "Tree" to get a better overview of the files. This comprises (file prefix: 01) the exact search queries executed in the database search phase and details on the execution of these queries, (02) the search results of the database search, (03) the list of included publications from the database search, (04) the list of included publications from the snowballing activity, (05) the consolidated final list of included publications, (06) the information extracted from these publications, including the properties of identified techniques, (07) the analysis of these techniques based on their properties and the resulting categorization.

Quantum Computing in Transportation Market Outlook

The global Quantum Computing in Transportation market size was valued at approximately USD 450 million in 2023 and is projected to reach around USD 3.5 billion by 2032, growing at an impressive CAGR of 25.2% during the forecast period. This remarkable growth is primarily driven by the increasing necessity for advanced computational solutions to handle the complexities and demands of modern transportation systems.

One of the primary growth factors for this market is the exponential increase in data generated by transportation systems. With the advent of smart cities and the proliferation of connected vehicles, the volume of data that needs to be processed and analyzed has skyrocketed. Quantum computing offers the computational power necessary to handle these vast amounts of data efficiently. It enables faster and more accurate analysis, which is crucial for optimizing traffic management, route optimization, and other transportation-related applications.

Another significant driver is the growing focus on reducing carbon emissions and improving sustainability in transportation. Quantum computing can support these efforts by optimizing routes and schedules, thereby reducing fuel consumption and emissions. The technology can also enhance the efficiency of supply chain and logistics operations, further contributing to sustainability goals. Governments and organizations worldwide are increasingly investing in quantum computing technologies to meet their environmental objectives, thereby fueling market growth.

Additionally, advancements in autonomous vehicle technology are propelling the demand for quantum computing in the transportation sector. Autonomous vehicles require immense computational power to process real-time data from various sensors, make quick decisions, and navigate complex environments. Quantum computing can significantly enhance the capabilities of autonomous vehicles, making them safer and more efficient. This, in turn, is expected to drive substantial growth in the market.

From a regional perspective, North America currently dominates the Quantum Computing in Transportation market, followed by Europe and Asia Pacific. This dominance is attributed to the presence of leading technology companies, significant investments in research and development, and early adoption of advanced technologies in these regions. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increasing investments in smart city projects, and supportive government initiatives.

Component Analysis

The Quantum Computing in Transportation market can be segmented based on components into hardware, software, and services. Each of these components plays a crucial role in the deployment and functioning of quantum computing solutions in transportation. Hardware forms the foundational backbone, encompassing quantum processors, quantum annealers, and other necessary physical components. Given the nascent stage of quantum hardware, substantial investments and continuous advancements are being made to enhance qubit stability, error rates, and overall computational power. Companies like IBM, Google, and Rigetti Computing are at the forefront, driving innovations in quantum hardware.

Software in quantum computing includes algorithms and platforms that facilitate the interaction between quantum hardware and user applications. Quantum software development is vital for solving specific transportation problems such as route optimization, traffic management, and real-time data analysis. Companies are increasingly focusing on developing quantum algorithms tailored to the transportation sector. Quantum software platforms also provide simulation environments where users can develop and test quantum applications before deploying them on actual quantum hardware. This segment is expected to see substantial growth as more user-friendly and application-specific software solutions are developed.

The services segment encompasses consulting, integration, and maintenance services related to quantum computing solutions. As quantum computing technology is complex and still emerging, organizations often require expert guidance to understand and implement these solutions effectively. Consulting services help businesses identify potential use cases and develop strategies for quantum computing adoption. Integration services ensure seamless incorporation of quantum solutions into existing IT infrastructures. Maintenance services are crucial for the

The Enterprise Quantum Computing market is rapidly gaining momentum as organizations recognize the transformative potential of quantum technologies. With an increasing demand for advanced computing power to solve complex problems, industries such as finance, healthcare, logistics, and artificial intelligence are poi

The statistic shows the authorship of papers on quantum computing worldwide, between 2004 and 2013, by nationality of the authors. Between those years, there were *** occasions on which U.S. and Canadian authors collaborated on quantum computing papers.

This is a GraphTable Data described from "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms".Finding the maximum independent set (MIS) of a large-size graph is a nondeterministic polynomial-time (NP)-complete problem not efficiently solvable with classical computations but may be suitable for quantum computation. In recent years, there are growing interests in using Rydberg-atom arrays to solve the MIS problem. Here, we report a set of quantum adiabatic computing data of Rydberg-atom experiments performed with up to 141 atoms randomly arranged on the King’s lattice. A total of 582,916 events of Rydberg-atom measurements are collected for experimental MIS solutions of 733,853 different graphs. We provide the raw image data along with the entire binary determinations of the measured many-body ground states and the classified graph data, to offer bench-mark testing and advanced data-driven analyses for validation of the performance of the Rydberg-atom approach as well as system improvements.

The global Universal Quantum Computer market is expected to reach a value of USD XXX million by 2033, growing at a CAGR of XX% over the forecast period of 2025-2033. The increasing demand for advanced computing technology in various industries, such as AI, healthcare, and finance, is driving the growth of the market. Additionally, government initiatives to support quantum computing research are contributing to the market's expansion. Key trends in the market include the growing adoption of cloud-based quantum computing services, the development of more powerful and efficient quantum algorithms, and the integration of quantum computers with other advanced tecnologías, such as AI and big data analytics. The Asia Pacific region is expected to be the fastest-growing market for universal quantum computers, due to the increasing investment in quantum computing research and development in countries such as China, Japan, and India.

Introduction

New York, NY – January 10, 2025 - Global Quantum Computing in Healthcare Market size is expected to be worth around USD 1,897.5 Million by 2032 from USD 85.0 Million in 2023, growing at a CAGR of 42.6% during the forecast period from 2023 to 2033. In 2022, North America led the market, achieving over 36.9%.

Quantum computing leverages the principles of quantum mechanics to process data and perform calculations at speeds exponentially faster than traditional computers. In the healthcare sector, quantum computing is emerging as a transformative technology capable of addressing complex challenges such as drug discovery, medical imaging, genomics, personalized medicine, and healthcare delivery optimization. Its ability to process and analyze vast amounts of data with unmatched efficiency positions quantum computing as a powerful tool for advancing healthcare solutions.

The global market for quantum computing in healthcare is poised for growth due to several key factors. These include increasing investments in quantum computing across both developed and emerging economies, growing interest from payers in adopting quantum technologies, rising demand for personalized medicine, and a surge in funding for quantum computing startups. These drivers are expected to fuel significant advancements and adoption of quantum computing in healthcare during the forecast period.

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Quantum Computing For AI Market Size 2025-2029

The quantum computing for AI market size is forecast to increase by USD 614.6 million at a CAGR of 35.2% between 2024 and 2029.

The market is experiencing significant momentum, driven by continuous and rapid advancements in quantum hardware technology. This technological evolution is enabling the development of increasingly powerful quantum computers, which hold the potential to revolutionize Artificial Intelligence applications by solving complex problems much faster than classical computers. Another key trend in the market is the rise of integrated hybrid quantum-classical systems. These systems combine the strengths of both quantum and classical computing, allowing for the efficient processing of large data sets and the execution of complex algorithms.
Moreover, achieving fault tolerance in quantum systems remains a major challenge, requiring advanced error correction techniques to ensure the reliability and stability of quantum computations. Companies seeking to capitalize on the opportunities presented by the market must address these challenges effectively, investing in research and development to overcome hardware noise and develop robust fault tolerance strategies. Quantum data compression reduces storage requirements, and quantum deep learning enhances neural networks. However, the market faces challenges as well. One significant obstacle is pervasive hardware noise, which can lead to errors and inaccuracies in quantum computations.

What will be the Size of the Quantum Computing For AI Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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Quantum finance models are being developed to optimize financial portfolios, while quantum feature extraction enhances AI algorithms' performance. Quantum cryptography applications secure data transmission, and quantum risk management mitigates risks with higher precision. In the realm of natural language processing, quantum natural language models improve language understanding. Quantum circuit optimization streamlines AI workflows, and post-quantum cryptography ensures data security in a quantum world. Quantum reinforcement learning expedites the training of AI agents, and quantum algorithm complexity offers new insights into AI optimization.

Quantum search algorithms discover patterns in vast datasets, and quantum inspired algorithms mimic quantum phenomena for AI solutions. Quantum computing, a revolutionary technology, is transforming the Artificial Intelligence (AI) market dynamics with its potential to solve complex problems that classical computers cannot. Quantum AI applications span various industries, including materials science, computer vision, drug discovery, computational chemistry, and more. Quantum error correction ensures data reliability, and quantum generative models create realistic data. Quantum hardware acceleration boosts AI performance, and quantum recommendation systems personalize user experiences. Quantum software libraries facilitate quantum AI adoption, and quantum hardware advances fuel innovation.

How is this Quantum Computing For AI Industry segmented?

The quantum computing for AI industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Technology

  Superconducting qubits
  Trapped ions
  Photonic systems
  Spin qubits


Deployment

  On-premises
  Cloud-based


End-user

  Healthcare and life sciences
  BFSI
  Automotive and aerospace
  Defense and security
  Energy


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Technology Insights

The Superconducting qubits segment is estimated to witness significant growth during the forecast period. Quantum computing for Artificial Intelligence (AI) is a rapidly advancing field, driven by technological innovations such as quantum supremacy claims, quantum tomography, and quantum circuit design. Error correction codes and quantum cloud computing enable larger-scale quantum computations, while hybrid quantum-classical approaches combine the strengths of both quantum and classical computing. Quantum entanglement, a unique phenomenon in quantum mechanics, is harnessed for quantum machine learning and quantum information theory. Quantum optimization and resource estimation are essential for solving complex problems in various industries. Topological quantum computing and gate-based quantum computing offer distinct approaches to building quantum computers.

The market is experiencing significant growth

The dataset is provided for the data collected to understand the role of quantum cmputing in shaping the future of 6G technology. The dataset consist of all the raw data and analysed results with respect to the research questions.

Partition functions are ubiquitous in physics: they are important in determining the thermodynamic properties of many-body systems, and in understanding their phase transitions. As shown by Lee and Yang, analytically continuing the partition function to the complex plane allows us to obtain its zeros and thus the entire function. Moreover, the scaling and nature of these zeros can elucidate phase transitions. Here we show how to find partition function zeros on noisy intermediate-scale trapped ion quantum computers in a scalable manner, using the XXZ spin chain model as a prototype, and observe their transition from XY-like behavior to Ising-like behavior as a function of the anisotropy. While quantum computers cannot yet scale to the thermodynamic limit, our work provides a pathway to do so as hardware improves, allowing the future calculation of critical phenomena for systems beyond classical computing limits.