"The analysis and forecast of new markets is an age-old business problem, as the lack of historical structured data prevents rigorous and accurate analysis with traditional methods. This challenge is most acute in predicting the adoption of new and rapidly evolving markets. Turning to AI agents for the solution has fundamentally transformed our approach to market analysis and forecasting, enabling us to gain valuable real-time insights from a multitude of data sources and types.

Collaborating with Emerging Trajectories (ET), efficiently scaled up the ability to leverage advanced LLM-based agents, providing insights into customer sentiment, purchasing intent, and new technology adoption speeds. The results were compelling: faster and valuable insight generation, broader and granular customer segment coverage, with consistent rigor preserved throughout.ET augments and enhances research capabilities with always-on research, operating at a scale that is more cost-effective and efficient than fielding traditional market surveys for insights. It reads local news and niche data sources written in different languages, continuously tracking signals around the clock, producing succinct, structured, importance-scored, and high-fidelity market insights that are precisely tuned to the dynamics of targeted markets.‍

The shift is both practical and profound, allowing more time to focus on interpretation and action, and less on repetitive research. Market modeling has evolved toward a real-time, adaptive, and multidimensional approach, where constantly changing market signals, sentiment, and dynamics actively inform and enrich the forecasting practice.

The future of market analysis isn’t better spreadsheets; it’s in having the right tool that can detect, analyze, and interpret the complex, interconnected, always-on, invisible signals that can be the difference between success and failure."