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Pricing sourced from ArcGIS Pro GeoAI Toolbox · Last verified March 2026
The GeoAI Toolbox is a collection of geoprocessing tools inside ArcGIS Pro that let you train and apply machine learning and deep learning models on spatial data. It is organized into four toolsets: Feature and Tabular Analysis, Imagery AI, Text Analysis, and Time Series AI. You can perform classification, regression, object detection, pixel classification, NLP entity extraction, and space-time forecasting without leaving ArcGIS Pro. Models can be used directly, fine-tuned from pretrained ArcGIS Living Atlas models, or extended through the ArcGIS API for Python.
The GeoAI Toolbox itself is included with ArcGIS Pro at no additional license cost, but ArcGIS Pro is a paid product. A single-use Basic license starts around $700/year, Standard is approximately $2,500/year, and Advanced is about $2,700/year or more. Some deep learning workflows may require additional extensions like Image Analyst or Spatial Analyst. Nonprofits, educators, and students can access discounted or free licenses via Esri's educational programs.
No, most tools in the GeoAI Toolbox are designed for GIS analysts and can be run through the standard ArcGIS Pro geoprocessing interface with point-and-click parameters. The Feature and Tabular Analysis toolset in particular uses automated machine learning to select, tune, and ensemble models for you. However, Python knowledge unlocks significant additional power because trained models interoperate with the arcgis.learn module of the ArcGIS API for Python, where they can be further fine-tuned and scripted.
You need a machine capable of running ArcGIS Pro (64-bit Windows 10 or 11, minimum 8GB RAM, recommended 16GB+) plus the Deep Learning Libraries Installer for ArcGIS, which must match your ArcGIS Pro version exactly. For Imagery AI and other deep learning tools, a CUDA-capable NVIDIA GPU with at least 8GB of VRAM is strongly recommended; CPU-only execution is possible but significantly slower. Tabular and text workflows can run on less powerful hardware.
Compared to other Geospatial AI tools in our directory, GeoAI Toolbox offers tighter, production-ready integration with a widely adopted enterprise GIS platform used by 350,000+ organizations. Open-source options like QGIS with ML plugins or Google Earth Engine are free or much cheaper and excel at large-scale cloud imagery analysis, but they require more manual configuration and scripting. GeoAI Toolbox wins on workflow cohesion, AutoML convenience, and access to Living Atlas pretrained models, while open-source tools win on cost and flexibility.
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