ANZ companies accelerate AI agent deployment for 2025 market edge
A Cloudera survey reveals 91% of Australian and New Zealand businesses view AI agent investment as critical for competitiveness, with adoption rates surging.
Australian and New Zealand organizations are rapidly scaling investments in AI agents, with 97% of ANZ IT leaders planning expanded use within the next year, according to Cloudera's global survey of 1,500 enterprise decision-makers. The findings underscore a strategic shift toward agentic AI as businesses seek operational advantages.
Key Findings:
- 91% of ANZ respondents consider AI agent adoption vital for market competitiveness
- 89% credit prior generative AI investments with preparing them for this transition
- Top global use cases:
- Performance optimization bots (66%)
- Security monitoring agents (63%)
- Development assistants (62%)
Sector-Specific Applications:
- Finance: Fraud detection (41%), risk assessment (59%)
- Healthcare: Diagnostic assistance (52%), appointment scheduling (48%)
- Manufacturing: Quality control (48%), process automation (39%)
Challenges Identified:
- AI bias concerns (69% in ANZ)
- Data privacy issues (54% locally, 53% globally)
- Integration with legacy systems (40% globally)
"AI Agents transform operations by enabling faster, data-driven decisions," noted Keir Garrett, Cloudera's ANZ VP, while emphasizing the need for "guardrails" around implementation. The company advocates for trusted data foundations to support AI deployments.
Implementation Trends:
- 66% build agents on enterprise AI platforms
- 60% leverage agentic capabilities within core applications
- 57% of global enterprises adopted AI agents in past two years
Cloudera's Chief Strategy Officer Abhas Ricky highlighted "real automation and business results" from production-scale deployments, predicting agentic AI will take center stage in 2025. Gartner has recognized the technology as a key trend for augmenting human productivity.
The report signals accelerated AI maturity in ANZ markets, with organizations progressing from experimental use cases to operational integration across critical business functions.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.