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This timely Handbook explores how the trajectory of technology can be predicted and strategically prepared for. It provides insight into the value and application of forecasting and roadmapping, covering foundational theories, method taxonomies and established approaches such as foresight and scenario planning.

Leading experts examine how the rise of data-driven methods, including patent analysis and bibliometrics, enables earlier identification of trends and innovations, as well as how emerging tools such as AI and machine learning are transforming the accuracy and responsiveness of forecasting. The Handbook presents two unique projects which outline the process of creating relevant technology roadmaps. Contributing authors also showcase outcomes from international collaborative projects, demonstrating how different forecasting tools and collaborative methods can enhance future decision-making.

The Handbook of Technological Forecasting and Roadmapping is a valuable resource for scholars and students of organisational innovation, the economics of innovation, industrial economics, technology and ICT, and science and technology studies. It is also beneficial for policymakers, regulators, government officials and technology managers looking to plan and anticipate future technological developments.