New York, London, Munich, Dubai – July 31, 2025 — DataArt, a global software engineering firm that delivers breakthrough data, analytics, and AI platforms, has released a new proprietary report: The Data Reality Check: 2025 Data and AI Adoption. Based on interviews with industry advisors, enterprise clients, and IT leaders across 20 countries, the research reveals why AI pilots are not scaling, and what must change.
Key findings include:
- 73% of experts cite governance as the top barrier to AI implementation
- 67% of AI initiatives stall due to data quality issues
- 82% of organizations lack the readiness, culturally and operationally, to support production-scale AI
- 68% of leaders expect significant shifts in tech roles within 18 months
- 30–50% productivity gains are already visible where code-generation tools are in use
- 84% of successful AI deployments were built on cloud-native infrastructure
The report also highlights the emerging divide between firms experimenting with AI in isolation and those investing in advisory-led models that connect data, governance, and outcomes from day one.
Across industries, the companies seeing real progress are those treating governance as a starting point, not an afterthought. The report calls out a shift already underway, from traditional software delivery to AI-powered, advisory-led partnerships.
The Data Reality Check outlines what organizations must do next:
- Build validation frameworks and assign clear data ownership
- Shift toward advisory models that combine technical depth with domain understanding
- Consolidate around cloud-native platforms that support AI governance at scale
- Prepare for evolving regulations by embedding transparency and auditability into AI workflows
To learn more and download the report, please go here.
