NVIDIA predictions: Why 2025 will be the year of unlocking unused data

Advancements in artificial intelligence are set to unlock vast amounts of unused industrial data in 2025, with NVIDIA experts forecasting significant developments across multiple sectors.

The data revolution: Industries are sitting on approximately 120 zettabytes of untapped data, equivalent to 120 times the number of sand grains on Earth’s beaches, which is now being activated through customized large language models.

• Companies across healthcare, telecommunications, entertainment, energy, robotics, automotive, and retail sectors are combining proprietary data with AI models to develop reasoning capabilities
• These industries collectively represent $88 trillion in annual global goods and services
• The focus is shifting toward AI systems that can process data at the edge and deliver real-time insights

AI’s self-assessment: Leading AI models have identified key trends expected to shape 2025, highlighting the emergence of more autonomous systems.

• Agentic AI, a new category of self-operating AI systems, tops the list of predicted developments
• These systems will be capable of making complex decisions and taking actions based on continuous learning
• Additional focus areas include edge AI, cybersecurity, and AI-driven robotics

Industry-specific implications: The integration of AI across sectors is expected to create new operational paradigms and capabilities.

• Healthcare organizations are leveraging AI for improved patient care and operational efficiency
• Manufacturing facilities are implementing AI-powered robotics for enhanced automation
• Financial services are developing more sophisticated AI-driven analysis and customer service tools
• Telecommunications companies are using AI to optimize network performance and customer experience

Critical considerations: The implementation of these AI systems raises important questions about data governance and system autonomy.

• The shift toward edge computing suggests a need for robust data management frameworks
• The emergence of agentic AI introduces new considerations about human oversight and control
• Industry-specific regulations and compliance requirements will need to evolve alongside these technological advances

Looking ahead to 2025: As industries harness previously dormant data through AI systems, the key to success will lie in balancing autonomous capabilities with appropriate human oversight and regulatory compliance.