Quantum AI Market Share to Witness Significant Revenue Growth

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Quantum AI Market Summary

The global Quantum AI market size was valued at USD 341.8 million in 2024 and is expected to grow significantly, reaching USD 2.01 billion by 2030. This growth reflects a compound annual growth rate of 34.6% from 2025 to 2030. The rapid expansion of the market is driven by ongoing advancements in quantum computing technologies and their increasing capability to address highly complex problems that are difficult for traditional classical computing systems to solve.

As a result, companies and research institutions are making significant investments in the development of quantum algorithms and their incorporation into AI-driven systems. Early adopters are actively exploring quantum-enhanced AI solutions, particularly for optimization and data processing tasks that require greater computational power. The increasing demand for speed, accuracy, and operational efficiency is motivating organizations to consider Quantum AI as a transformative technology. These early investments and experimental initiatives are helping to build a strong foundation for future large-scale commercial applications across multiple sectors.

Key Market Trends & Insights

  • From a regional perspective, North America led the global Quantum AI industry in 2024, accounting for a 39.8% market share. This dominance is supported by a strong research and development ecosystem, high levels of technology investment, and the presence of leading quantum computing and artificial intelligence companies.
  • In terms of components, the hardware segment held the leading position in the market and accounted for 38.1% of the global revenue in 2024. This growth is driven by rising demand for quantum processors, control hardware, and supporting infrastructure required for quantum computing operations.
  • By deployment model, the on-premises segment generated the largest revenue share in 2024, as organizations preferred greater control over data security, system customization, and infrastructure management for advanced quantum computing applications.
  • By application, the machine learning and optimization segment accounted for the largest revenue share in 2024, reflecting the increasing adoption of Quantum AI solutions to address complex optimization challenges, improve predictive modeling, and enhance decision-making processes across various industries.

Order a free sample PDF of the Quantum AI Market Intelligence Study, published by Grand View Research.

Market Size & Forecast

  • 2024 Market Size: USD 341.8 Million
  • 2030 Projected Market Size: USD 2.01 Billion
  • CAGR (2025-2030): 34.6%
  • North America: Largest market in 2024
  • Asia Pacific: Fastest growing market

Key Companies & Market Share Insights

Prominent firms have used product launches and developments, followed by expansions, mergers and acquisitions, contracts, agreements, partnerships, and collaborations as their primary business strategy to increase their market share. The companies have used various techniques to enhance market penetration and boost their position in the competitive industry. For instance, in July 2024, Zapata Computing Holdings Inc., a U.S.-based software company, has broadened its collaboration with D-Wave Quantum Inc. to expedite the advancement of integrated quantum and generative AI solutions. This collaboration aims to enhance model training efficiency and performance, combining generative AI with quantum optimization to advance enterprise applications and drive sustainability and operational efficiency.

  • Amazon Web Services (AWS) is a cloud computing platform offered by Amazon, providing a comprehensive suite of services including computing power, storage, and databases on demand. Through its Free Tier program, AWS allows new users to explore and experiment with a broad range of cloud products at no cost, including services in compute, storage, databases, machine learning, and more. This initiative supports startups, developers, and businesses in building and testing applications in the cloud without upfront investment. The Free Tier is divided into always free, 12-month free, and trial offers, catering to different user needs. With global infrastructure and scalable solutions, AWS is widely adopted across industries for its reliability, flexibility, and innovation in cloud services.
  • ​IBM is a global technology leader with over 300,000 employees across 170+ countries, offering a broad portfolio of products and services in consulting, software, and infrastructure. In the realm of quantum computing, IBM has developed the IBM Quantum Platform, providing cloud-based access to advanced quantum processors and development tools like Qiskit. Their latest innovation, the IBM Quantum System Two, is a modular quantum computer designed to scale with future advancements in quantum technology. IBM's commitment to quantum AI is further demonstrated through collaborations with academic and research institutions, aiming to advance the field and explore new computational possibilities. This dedication positions IBM at the forefront of integrating quantum computing with artificial intelligence to solve complex problems.

Key Players

  • Amazon Web Services
  • D-Wave Quantum Inc.
  • Fujitsu
  • Google LLC
  • Hitachi, Ltd.
  • IBM Corporation
  • Intel Corporation
  • Microsoft
  • SandboxAQ
  • Toshiba Corporation

Explore Horizon Databook – The world's most expansive market intelligence platform developed by Grand View Research.

Conclusion

The global Quantum AI market size was valued at USD 341.8 million in 2024. Quantum computing improves the performance of artificial intelligence and machine learning algorithms by enabling faster processing of extremely large datasets and revealing complex patterns that were previously inaccessible. The integration of AI with quantum technologies is expected to bring transformative changes across several industries, including finance, healthcare, logistics, and manufacturing. These industries benefit from more accurate predictions, advanced optimization capabilities, and enhanced real-time decision-making, which are essential for data-intensive operations.

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