Quantum Artificial Intelligence - Global Strategic Business Report

The global market for Quantum Artificial Intelligence was estimated at US$282.6 Million in 2024 and is projected to reach US$1.9 Billion by 2030, growing at a CAGR of 37.2% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Quantum Artificial Intelligence market.

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.

Key Insights:

• Market Growth: Understand the significant growth trajectory of the Hardware segment, which is expected to reach US$1.2 Billion by 2030 with a CAGR of a 39.5%. The Software segment is also set to grow at 34.4% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, valued at $74.3 Million in 2024, and China, forecasted to grow at an impressive 35.2% CAGR to reach $279.5 Million by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Why You Should Buy This Report:

• Detailed Market Analysis: Access a thorough analysis of the Global Quantum Artificial Intelligence Market, covering all major geographic regions and market segments.
• Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
• Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Quantum Artificial Intelligence Market.
• Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.

Key Questions Answered:

• How is the Global Quantum Artificial Intelligence Market expected to evolve by 2030?
• What are the main drivers and restraints affecting the market?
• Which market segments will grow the most over the forecast period?
• How will market shares for different regions and segments change by 2030?
• Who are the leading players in the market, and what are their prospects?

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of players such as Amazon Web Services (AWS), Atos SE, Baidu, Inc., D-Wave Quantum Inc., and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Some of the 34 companies featured in this Quantum Artificial Intelligence market report include:

• 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

This edition integrates the latest global trade and economic shifts as of June 2025 into comprehensive market analysis. Key updates include:

• Tariff and Trade Impact: Insights into global tariff negotiations across 180+ countries, with analysis of supply chain turbulence, sourcing disruptions, and geographic realignment. Special focus on 2025 as a pivotal year for trade tensions, including updated perspectives on the Trump-era tariffs.
• Adjusted Forecasts and Analytics: Revised global and regional market forecasts through 2030, incorporating tariff effects, economic uncertainty, and structural changes in globalization. Includes segmentation by product, technology, type, material, distribution channel, application, and end-use, with historical analysis since 2015.
• Strategic Market Dynamics: Evaluation of revised market prospects, regional outlooks, and key economic indicators such as population and urbanization trends.
• Innovation & Technology Trends: Latest developments in product and process innovation, emerging technologies, and key industry drivers shaping the competitive landscape.
• Competitive Intelligence: Updated global market share estimates for 2025, competitive positioning of major players (Strong/Active/Niche/Trivial), and refined focus on leading global brands and core players.
• Expert Insight & Commentary: Strategic analysis from economists, trade experts, and domain specialists to contextualize market shifts and identify emerging opportunities.
• Complimentary Update: Buyers receive a free July 2025 update with finalized tariff impacts, new trade agreement effects, revised projections, and expanded country-level coverage.