The eScience Center’s Technology Forecast highlights transformative trends in artificial intelligence (AI), computing, data processing and data analytics. Key Points: AI-powered innovations : AI advancements in natural language processing (NLP) and computer vision promise to revolutionize data analytics, with efficiency gains and cost reductions expected. Computing challenges: addressing limitations through hardware specialization and exotic architectures like quantum computing poses programming challenges, potentially leading to a shortage of experts. Cloud solutions : cloud-based access to high-performance computing (HPC) hardware is increasing, emphasizing the need for portable libraries to prevent vendor lock-in. Data explosion and edge computing : improved sensors and Internet of things (IoT) devices result in a data explosion, leading to efforts to process data closer to sources for cost reduction and enhanced privacy. FAIR principles : adherence to FAIR data principles is crucial for a highly distributed infrastructure, promoting findability, accessibility, interoperability and reusability. Data analytics : to meet challenges in extracting value from massive amounts of unstructured data, recent developments focus on techniques like dimensionality reduction and incremental learning. Augmented analytics and edge insights : augmented analytics targets accessibility for non-experts, while edge analytics ensures real-time insights closer to data sources. This forecast has profited from the feedback of technology experts covering a wide range of expertise. The feedback was gathered through an anonymous survey between 2022 and 2023. We are grateful to the time and dedication of the community, without whom this forecastwould not be possible.