Trendanalyse Intergeo 2023
Keywords:
Intergeo 2023, Geospatial Trends, GIS, Artificial Intelligence, Digital Twins, Automation, Geospatial TechnologyAbstract
This article presents a trend analysis related to Intergeo 2023 and examines developments that were shaping the geospatial sector around the event. Intergeo brings together a broad community involved in surveying, mapping, GIS, remote sensing, positioning, geodata management and digital transformation. A trend analysis can help identify the technologies and themes that are receiving increasing attention and can provide an overview of how the industry is changing. The discussion considers the growing importance of digital workflows, automation, artificial intelligence, three-dimensional data and connected geospatial services. These developments are changing both the way spatial information is collected and the way it is processed, shared and used. Digital twins and three-dimensional representations are becoming increasingly relevant for cities, infrastructure and industrial applications, while AI methods can assist with classification, interpretation and repetitive processing tasks. The analysis also points to the continuing importance of reliable data, interoperability and standards. New technologies can only create practical value when information from different systems can be combined and when users can trust the results. The international character of Intergeo also provides an opportunity to observe how similar challenges are being addressed across different markets and professional communities. The article provides a snapshot of the sector at a time when geospatial technologies are becoming closely connected with wider digital transformation. Understanding these trends can help organizations evaluate new tools, identify opportunities and prepare their workflows for future requirements. The analysis therefore underlines the continuing movement from traditional geodata production toward integrated, automated and increasingly intelligent spatial information services.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.



