Quantum Computing Market Trends

  • Report ID: 4910
  • Published Date: May 23, 2025
  • Report Format: PDF, PPT

Quantum Computing Sector: Growth Drivers and Challenges

Growth Drivers

  • Strong government support: Governments across the world are launching initiatives and devoting huge sums of money to support research and development in quantum computing. According to the National Institute of Standards and Technology (NIST), in 2023, the U.S. National Quantum Initiative invested over USD 1.6 billion to promote developments in quantum systems and technology. Likewise, the Ministry of Industry and Information Technology (MIIT) stated in a report that China's USD 10 billion investment in quantum R&D will improve talent development and infrastructure, and transform the national security landscape. These funds speed up commercialization, especially in regions including Asia Pacific and North America.
  • Expansion of quantum computing as a service (QCaaS): QCaaS allows businesses to conduct cost-effective research and development. In August 2024, Amazon Braket introduced the latest superconducting quantum processor from Rigetti Computing, the 84-qubit Ankaa-2 device, enabling customers in any time zone to execute hybrid jobs and quantum tasks whenever it's convenient for them. This will also create new opportunities for continuous research and more effective use of quantum hardware resources on a pay-as-you-go basis. For instance, NIST reports that QCaaS solutions, such as AWS Braket, the quantum computing service of Amazon Web Services (AWS), decrease barriers to entry for quantum computing.

AI and ML Trends in Quantum Computing Market

AI and Machine Learning (ML) are a turning point for product development and operational efficiency, particularly for key market players like IBM, Google, and Quantinuum. Based on a 2023 report by NIST, the design of quantum hardware is made much more efficient with AI-driven simulations, which reduces development costs by around 29%. Similarly, ML enhances computational speed by more than 35% for certain applications.

When it comes to operations, AI steps up the game by boosting supply chain efficiency and slashing logistics costs by about 19-24% with the help of predictive analytics. Besides this, ENISA, the EU agency dedicated to enhancing cybersecurity in Europe, states that AI-driven quality control improves product dependability by 15-20%. Moreover, China Academy of Information and Communications Technology, CAICT, reported in 2023 that AI personalization leads to an enormous 34% increase in satisfaction in the BFSI sector.

Company

AI & ML Integration

Outcome

Rigetti Computing

ML for hybrid quantum-classical logistics

48% less optimization time (2024)

IBM

AI simulations for circuit design

33% less development time (2023)

D-Wave Systems

AI for supply chain optimization

24% lower logistics costs (2024)

Quantinuum

ML for NLP in transformer model

Over 25,000x less energy use (2024)

Google

ML for error correction

Around 38% better algorithm efficiency (2024)

5G Adoption Trends in Quantum Computing Market

Low-latency, high-bandwidth 5G infrastructure expedites quantum computing by boosting connectivity for industrial IoT, providing real-time data processing in manufacturing, logistics, and supply chains. For instance, the 5G market is expected to grow from USD 16.3 billion in 2024 to USD 62.1 billion by 2033, at a CAGR of 14.7% between 2024 and 2033. According to NIST, this helps create quantum algorithms, with 49% of organizations using 5 G-enabled QCaaS services such as AWS Braket. The outcomes below demonstrate how 5G's integration with quantum computing promotes scalability, innovation, and operational efficiency.

Company

5G and Quantum Computing Integration

Outcome

Microsoft

Azure Quantum with 5G edge computing

Faster IoT data processing (2024)

DHL

5G networks with quantum computing

24% logistics cost reduction (2024)

Siemens

5G IoT sensors with quantum analytics

28% productivity increase (2023)

IBM

5G for quantum cloud services

Enabled real-time computations (2024)

Challenges

  • Data protection laws: According to ENISA, the General Data Protection Regulation (GDPR) in Europe guarantees quantum-resistant encryption, which raises compliance costs by between 19% to 29%. In 2022, India’s DPDP Act caused quantum products’ release to be delayed by six months. These factors state that compliance with such regulations delays market penetration and increases the cost, further impacting the market growth.
  • Increase in cybersecurity concerns: Quantum computers pose a threat to current encryption methods. Therefore, investing in expensive post-quantum cryptography (PQC) has become essential. As reported by IBM, in the U.S., the average cybersecurity expense for companies transitioning to quantum technology is around USD 4.8 million. Moreover, these high costs act as a barrier to adoption, particularly for smaller players in the ICT sector.

Base Year

2024

Forecast Year

2025-2037

CAGR

32.2%

Base Year Market Size (2024)

USD 1.65 billion

Forecast Year Market Size (2037)

USD 64.12 billion

Regional Scope

  • North America (U.S. and Canada)
  • Asia Pacific (Japan, China, India, Indonesia, Malaysia, Australia, South Korea, Rest of Asia Pacific)
  • Europe (UK, Germany, France, Italy, Spain, Russia, NORDIC, Rest of Europe)
  • Latin America (Mexico, Argentina, Brazil, Rest of Latin America)
  • Middle East and Africa (Israel, GCC, North Africa, South Africa, Rest of the Middle East and Africa)

Browse key industry insights with market data tables & charts from the report:

Frequently Asked Questions (FAQ)

Quantum Computing Market in 2025 is evaluated at USD 2.20 billion.

The global market size was over USD 1.65 billion in 2024 and is anticipated to witness a CAGR of around 32.2%, crossing USD 64.12 billion revenue by 2037.

North America is projected to hold a share of 37.9% by 2037, driven by increasing demand for faster computing capabilities and quantum computing adoption.

The major players in the market include Rigetti Computing, Inc., T-Systems International GmbH, Huawei Technologies Co. Ltd., IBM Corporation, D-Wave Systems Inc., Telstra Corporation Limited, Zapata Computing Inc., Microsoft Corporation, IonQ Inc., Silicon Quantum Computing.
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