Quantum AI interest surges in data science and cybersecurity

Quantum AI is no longer a distant concept for many businesses, with over 60 percent actively investing in or exploring the technology , according to new research from SAS.

The report highlights that the most common area of application is in data analytics and machine learning, accounting for 48 percent of use cases. Research and development follows at 41 percent, while cybersecurity ranks third at 35 percent.

The emerging field of quantum AI combines current AI with the immense processing power of quantum computing . This fusion promises breakthroughs in algorithm development, complex model training, and solving data problems that today’s systems struggle with.

Industries are also examining its potential in supply chain and logistics (31 percent), finance and risk management (26 percent), and even marketing (20 percent).

Despite growing interest, several barriers still hinder adoption. These include high costs (38 percent), a lack of understanding (35 percent), uncertainty around practical use cases (31 percent), a shortage of skilled workers (31 percent), and limited regulatory guidance (26 percent).

SAS Principal Quantum Architect Bill Wisotsky acknowledged the surrounding hype but stressed that research underway today is crucial groundwork.

Key sectors poised to benefit include life s c iences , financial services, and manufacturing, particularly in areas such as drug discovery, risk analysis, and process optimisation.

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