Quantum Artificial Intelligence

Global Quantum Artificial Intelligence Market to Reach US$1.9 Billion by 2030

The global market for Quantum Artificial Intelligence estimated at US$282.6 Million in the year 2024, is expected to reach US$1.9 Billion by 2030, growing at a CAGR of 37.2% over the analysis period 2024-2030. Hardware, one of the segments analyzed in the report, is expected to record a 39.5% CAGR and reach US$1.2 Billion by the end of the analysis period. Growth in the Software segment is estimated at 34.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$74.3 Million While China is Forecast to Grow at 35.2% CAGR

The Quantum Artificial Intelligence market in the U.S. is estimated at US$74.3 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$279.5 Million by the year 2030 trailing a CAGR of 35.2% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 34.3% and 32.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 25.7% CAGR.

Global "Quantum Artificial Intelligence" Market – Key Trends & Drivers Summarized

Can Quantum Computing Take AI From Intelligent To Omniscient?
Quantum Artificial Intelligence (QAI) lies at the intersection of two revolutionary domains—quantum computing and artificial intelligence—promising to solve problems that classical AI systems cannot manage within a feasible time. Quantum algorithms, such as the Quantum Support Vector Machine (QSVM) or Grover’s Search, enable exponential acceleration in pattern recognition, data classification, and optimization tasks. These enhancements are particularly crucial in domains such as pharmaceutical research, financial modeling, materials discovery, and climate prediction, where conventional supercomputers struggle with complex probabilistic models. QAI also enables the creation of better generative models and more efficient neural networks. Early collaborations between tech giants like IBM, Google, and startups like Zapata, Rigetti, and Xanadu are paving the way for commercial applications. The QAI market is still in its infancy, but the long-term potential is staggering—poised to unlock a new age of cognitive systems that learn, adapt, and evolve at quantum speed.

How Are Enterprises Preparing For A Quantum-AI Fusion Future?
Enterprises are increasingly investing in quantum readiness, preparing to harness QAI for competitive advantage. From quantum-enhanced AI optimizers in logistics to portfolio risk management in finance, pilot projects are underway globally. Companies are exploring hybrid quantum-classical architectures that offload the most computationally intensive parts of an AI pipeline—such as training or feature extraction—onto quantum processors. Meanwhile, cloud-based quantum computing services like IBM Quantum, AWS Braket, and Microsoft Azure Quantum are democratizing access, making experimentation feasible for R&D teams and startups alike. Training quantum-aware data scientists and developing quantum-compatible machine learning frameworks (like PennyLane or TensorFlow Quantum) are now strategic priorities for future-proofing innovation pipelines. With global quantum hardware expected to mature over the next decade, early adopters are likely to gain a significant edge in deep AI capabilities.

What Barriers Still Hinder Quantum AI, And How Are They Being Addressed?
Despite its promise, the QAI landscape is grappling with major challenges. Quantum decoherence, error correction, and hardware scalability are still unresolved bottlenecks. Additionally, building hybrid systems where quantum and classical components interact seamlessly requires substantial algorithmic and architectural innovation. Software toolkits that abstract the quantum complexity—such as Qiskit, Cirq, and Ocean—are easing development, but mass developer adoption is still years away. From a policy perspective, the lack of global standards for quantum security and data governance is another hurdle. Nevertheless, governments are pouring billions into national quantum initiatives, while venture capital continues to flow into quantum AI startups. Continuous breakthroughs in qubit fidelity and fault-tolerant design are gradually closing the gap between theoretical potential and practical application.

What’s Driving Quantum AI’s Global Growth Trajectory?
The growth in the Quantum Artificial Intelligence market is driven by several interrelated factors: advances in superconducting and photonic quantum computing technologies; increasing demand for ultra-high-speed data analytics in industries like finance, healthcare, and logistics; and the integration of QAI into national innovation strategies by countries like the U.S., China, and EU members. Hybrid cloud access to quantum resources is making early experimentation viable for enterprises, while quantum-aware AI frameworks are enabling developers to create next-gen models with higher accuracy and faster convergence. Additionally, the shortage of classical computing power for training massive AI models—especially large language models—has made QAI a compelling alternative for long-term scalability. Venture capital interest and strategic alliances between academic labs and tech firms are ensuring steady R&D investment, which further accelerates the roadmap toward commercial viability. Together, these drivers are shaping a robust foundation for QAI`s emergence as a frontier market.

SCOPE OF STUDY:

The report analyzes the Quantum Artificial Intelligence market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (Hardware, Software, Services); Deployment (On-Premise Deployment, Cloud based Deployment); Application (Machine Learning & Optimization, Simulation & Modeling, Cryptography & Security)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 34 Featured) -

• Amazon Web Services (AWS)
• Atos SE
• Baidu, Inc.
• D-Wave Quantum Inc.
• Fujitsu Limited
• Google LLC
• Honeywell International Inc.
• IBM Corporation
• Intel Corporation
• IonQ, Inc.
• Microsoft Corporation
• Multiverse Computing
• NEC Corporation
• NVIDIA Corporation
• PsiQuantum
• Quantinuum
• Quantum Computing Inc.
• Rigetti Computing
• Xanadu Quantum Technologies
• Zapata Computing

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