A new global survey indicates that an overwhelming 96% of enterprises have incorporated artificial intelligence into their core business processes, reflecting a significant shift from viewing AI as a competitive edge to considering it an essential operational necessity.
The report, titled ‘The Evolution of AI: The State of Enterprise AI and Data Architecture,’ was conducted by Cloudera and surveyed over 1,500 IT leaders across the world.
The findings highlight a rapid acceleration in AI adoption, with a notable increase from 88% in the previous year, suggesting that organisations are moving beyond experimental pilots and embedding AI directly into daily workflows and decision-making. Many enterprises are now reaping tangible benefits; 70% of IT leaders reported achieving significant success from their AI initiatives, while only 1% saw no results. Deployments include generative AI (used by 60%), deep learning (53%), and predictive models (50%).
Confidence in managing AI is also improving, with 67% of respondents feeling better equipped to handle emerging AI forms, such as AI agents, compared to a year ago. This growing competence aligns with a shift towards hybrid data architectures, as organisations seek flexible management of AI applications across both cloud and on-premises environments. The survey found that 62% value improved security, 55% appreciate enhanced data management, and 54% cite better analytics capabilities as benefits of this hybrid approach.
Sergio Gago, CTO of Cloudera, emphasised that AI has transitioned from a strategic priority to an urgent operational mandate, reshaping how businesses operate and compete. However, he noted ongoing challenges around security, compliance, and data utilisation, with many organisations still stuck at proof-of-concept stages. Cloudera aims to address these issues by enabling AI deployment across various data environments while maintaining governance and trust, through innovations like Private AI and GPU-accelerated generative AI solutions.
The survey also underscores the central role of cloud technology in enterprise data strategies, with 63% storing data in private clouds, 52% using public clouds, and 42% relying on data warehouses. Despite widespread adoption, security concerns remain prevalent; half of the IT leaders cited data leakage during model training as a major threat, alongside risks of unauthorised access (48%) and the use of unsecured third-party AI tools (43%). Nonetheless, most organisations expressed confidence in their security measures, with 24% feeling extremely confident, 53% very confident, and 19% somewhat confident.
Technical hurdles persist, particularly in data integration, which 37% of respondents identified as the primary challenge. Storage performance and computing capacity were cited by 17%, while only 9% reported full data accessibility for AI initiatives. Most organisations (38%) noted that most of their data is accessible, but complete data usability remains elusive. The integration of AI is also influencing organisational culture, with 24% describing their company as highly data-driven — a rise from 17% last year. Still, many recognise that further efforts are necessary to embed a data-first mindset throughout business operations.
Overall, the report offers a comprehensive snapshot of the fast-evolving enterprise AI landscape, highlighting both the impressive strides made in AI adoption and the persistent technical, security, and cultural challenges that organisations must overcome to unlock its full potential.
