Top 10 Best Space Planning Software of 2026

Archilogic’s planning flow typically starts from floor plan inputs, then assigns spaces and objects into a structured planning model that can be re-evaluated across iterations. Scenario planning relies on changing headcount and seat allocation assumptions, then regenerating resulting occupancy outputs tied to the same underlying standards. The system also supports adjacency planning by expressing relationships between spaces so moves and reallocations can be checked against neighborhood constraints.

A key tradeoff is that adjacency planning and area standards need deliberate upfront modeling, because later changes reflect the configured logic rather than freeform edits. Archilogic fits teams running repeat move management cycles where floor plans change, and planning artifacts must stay consistent for occupancy reporting and test fits.

Planon fits organizations that manage space at portfolio scale and need repeatable workflows for stack plans, adjacency planning, and move management decisions. The data model centers on spaces, assets, and allocations so headcount forecasting and seat allocation scenarios can roll up to utilization analysis. The automation surface is oriented around planning cycles and approvals instead of manual spreadsheet handoffs.

A tradeoff is that CAD and space-standard alignment work can be heavier than tools that only support lightweight visual editing. Planon works best when teams set a consistent space measurement and coding approach, then run iterative scenarios for test fits and departmental programming before publishing change sets for execution.

OfficeSpace supports planning flows built around stack and blocking style placement work, then ties seat and room assignments back to configurable space standards. CAD import from common formats helps teams start with existing floor plan drawings instead of recreating layouts. Scenario planning is handled by running alternative allocations against the same underlying floors and rules, which reduces drift between planning rounds. This workflow fit works best when the team needs repeatable outputs for occupancy planning and seat allocation decisions.

A key tradeoff is that OfficeSpace automation depth depends on how thoroughly planners encode standards and naming conventions before running large allocation changes. Without that preparation, large move management batches can become labor-heavy because validation depends on consistent floor structure and attribute completeness. OfficeSpace is a strong choice for departmental programming and headcount forecasting exercises where planners iterate frequently and need predictable recalculation results.

Eptura Workplace focuses on scenario planning and space utilization analysis using connected workplace data and configurable workspace standards. Its core work process maps employee and space demand to floor plans and room capacity, then supports seat allocation and headcount forecasting across planning cycles.

Eptura Workplace also supports automation around workplace moves by linking planning outcomes to operational workflows. For governance, it provides administrator controls for model permissions and controlled publishing of planning results.

Autodesk Forma converts uploaded floor plans and space data into guided workplace planning workflows with scenario modeling and measure-driven reporting. Core capabilities center on stack-plan and block-plan style layouts, adjacency checks, and iterative testing of test fits through coordinated views.

The tool also supports CAD import workflows for moving from floor plan geometry into planning objects, then exporting results for downstream use in workplace programs. Forma’s distinct angle is its tight Autodesk ecosystem alignment for planning outputs that can be reused across multiple space scenarios.

Planner 5D focuses on interactive floor plan modeling for teams that need quick visual space scenarios, not just static CAD deliverables. It supports importing floor plan images and generating 2D and 3D views for test fits, including furniture and room layout variations.

The workflow is geared toward scenario iteration and visualization for stakeholder review rather than deep operational integrations. File exchange for interoperability depends on common export paths like image and model exports, which limits automation for tightly governed workplace datasets.

Spacewell centers space planning around a configurable facilities and workplace data workflow that links floor plans, portfolios, and planning scenarios. The product supports scenario planning and stack plans to model seat allocation and how moves affect space utilization.

CAD and BIM inputs such as DWG and IFC files feed floor geometry and allow iteration across departmental programming and headcount forecasting. Admin controls focus on managed configuration, role-based access, and change history for planning cycles.

Kadence is a space planning tool used for workplace occupancy planning and scenario planning, with a workflow built around rooms, zones, and allocations. Its core work centers on importing existing CAD and floor plan data, arranging assets into stack and neighborhood-style layouts, and producing test fits that can be compared across scenarios.

Administration focuses on project-level controls and structured templates, which helps maintain consistency across floor plans and planning cycles. Integration depth depends on what the deployment exposes through its import formats and any available API or export hooks for downstream systems.

Robin imports and lays out floor plan drawings, then assigns seats and rooms to locations during workplace occupancy planning and scenario planning. It uses automated constraints to enforce workstation standards, adjacency rules, and move planning logic as teams test fits and block plans.

Robin’s governance focus shows up in configuration controls that keep generated stack plans consistent across departments and time periods. The product is evaluated here as a space planning tool rather than a general facilities system.

Floorplanner fits teams that need fast visual space planning without a CAD-heavy workflow. It provides interactive 2D floor plans and 3D views, with room layouts built from drag-and-drop elements and measurements.

The workflow supports iterating seat and space scenarios by rearranging blocks on the plan canvas and reviewing the same layout in 3D. File exchange is handled through import and export options rather than a full BIM or CAD round-trip with semantic property preservation.