Data and AI Trends 2027–2028: What Companies Should Watch
The Trends That Will Shape the Data and AI Industry in 2027–2028
The data and artificial intelligence industry is entering a new phase. As AI becomes more autonomous and is integrated into more business processes, the challenge is no longer simply having advanced models: organizations need reliable data, context, governance, security, and an infrastructure capable of turning artificial intelligence into business value.
The report The Data and AI Industry in 2027–2028, prepared by Bismart, analyzes the key transformations that will shape the market’s evolution over the coming years.
What will you find in the report?
The study identifies five major forces of transformation: the evolution of data platforms toward intelligent systems; the growth of operational data and real-time decision-making; the consolidation of open and distributed infrastructures; the governance of increasingly autonomous systems; and the evolution of data as a product and economic asset.
Based on these forces, the report delves into trends such as agent-based AI, semantic layers and enterprise ontologies, GraphRAG and Context Engineering, Operational Intelligence, multimodal data, Open Table Formats, Small Language Models, Sovereign AI, AI FinOps, and AI Observability, among others.
It also includes an emerging technologies radar, an analysis of the sectors where value may be concentrated, the main risks associated with adoption, and an executive roadmap for 2026–2028.
Why is this relevant for businesses?
The real challenge in the coming years will not be incorporating more artificial intelligence, but rather building the data, architecture, and governance capabilities needed to use it reliably, securely, and at scale.
The report is designed for CIOs, CDOs, and leaders in Data & AI, analytics, architecture, innovation, and digital transformation who need to anticipate how the technology ecosystem will evolve and which capabilities they should begin to prioritize.
Download the full report and discover which trends could transform your data and AI strategy in 2027–2028.
How to Prepare for the Data & AI Landscape of 2027–2028
Preparing for the changes ahead does not mean adopting all emerging technologies at once.
Organizations will need to set priorities based on their maturity, current architecture, use cases, governance needs, and business objectives.
For this reason, the report proposes a 2026–2028 executive roadmap that outlines the evolution from the foundations of reliability and prioritization to the industrialization, optimization, and expansion of data and artificial intelligence capabilities.
Access the report *The Data and AI Industry in 2027–2028: Trends, Challenges, and Opportunities* and discover the technologies, risks, and decisions that could shape the evolution of corporate Data & AI strategies in the coming years.
Download the full report
Download the report to identify which trends and technologies are likely to have the greatest impact on your business and how to prepare for them.
Frequently Asked Questions About Data & AI Trends
What will be the main trends in data and AI in 2027–2028?
Key trends include agent-based AI, context engineering, semantic layers and enterprise ontologies, real-time operational intelligence, AI FinOps, AI observability, sovereign AI, small language models, and open data architectures. The report analyzes how data platforms and enterprise artificial intelligence can drive transformation.
How will artificial intelligence in business evolve in the coming years?
Enterprise artificial intelligence will evolve toward systems that are more autonomous, context-aware, and integrated with business data and processes. This will require organizations to strengthen areas such as data quality, governance, semantics, observability, permissions, and cost control.
What emerging data and artificial intelligence technologies should companies keep an eye on?
The report analyzes technologies such as agentic AI, GraphRAG, Context Engineering, multimodal data, Open Table Formats, Small Language Models, Sovereign AI, and technologies for AI observability and cost optimization, among others.
How should companies prepare their data and AI strategy for 2027–2028?
Organizations will need to evolve toward more integrated, governed, and AI-ready data platforms, prioritizing data quality and accessibility, business context, security, real-time capabilities, and governance tailored to increasingly autonomous systems.
What does the 2027–2028 Data and AI Trends Report cover?
The report includes an analysis of key trends in data and AI, a radar of emerging technologies, opportunities by sector, adoption risks, and an executive roadmap for 2026–2028 to help organizations define their strategic priorities.