A new global survey by SAS reveals growing business interest in quantum AI, with 60% of companies actively exploring or investing in the emerging technology. The findings, based on responses from 500 leaders across the US, UK, France, China, and Mexico, show strong momentum—but also highlight key adoption hurdles.
The report, unveiled at SAS Innovate, underscores a dual reality: while most businesses are curious about quantum AI’s potential to transform operations, many cite significant barriers. Top concerns include high costs (38%), limited understanding of the technology (35%), and unclear real-world applications (31%).
The SAS study found that while 70% of business leaders are at least somewhat familiar with quantum AI, widespread adoption still appears distant without better guidance and a clear value path.
From concept to real-world proof of concept
SAS is positioning itself to fill that gap. The analytics major is already partnering with companies in proof-of-concept projects, such as using hybrid quantum-classical optimization with major consumer goods firms. Their goal is to demystify the technology, making it both accessible and applicable across industries like life sciences, manufacturing, and finance.
Quantum AI combines the capabilities of quantum computing and artificial intelligence, enabling faster data analysis, better training of complex machine learning models, and tackling problems previously considered unsolvable with classical systems.
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SAS has aligned with key players in quantum computing—including D-Wave, IBM, and QuEra Computing—to strengthen its hybrid AI research and applications. Experiments are already underway using SAS Viya Workbench to interface with quantum annealing platforms, with plans to further integrate quantum AI tools into its core products.
Industries poised for disruption
The survey showed that businesses see the strongest use cases for quantum AI in data analytics (48%), R&D (41%), and cybersecurity (35%). Other areas include logistics, finance, and marketing. However, skill gaps (31%) and regulatory uncertainty (26%) also remain significant hurdles.
Despite these challenges, SAS believes quantum AI will play a defining role in shaping future business strategies and is committed to accelerating its real-world adoption.
