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Industry Data Analysis

2

📊〽️ Interactive market segmentation analysis across industries.

IndustriesRequirementsQuick StartCreditsAbout the Core Contributors

Project Version Python Version GitHub repo size GitHub Actions Workflow Status


2

Industries Covered

Interactive marimo notebooks with pie charts and icicle visualizations showing market segments, sizes, and top companies:

Industry Notebook Market Focus
Construction construction_industry.py Residential, infrastructure, non-residential buildings
Semiconductor semiconductor_industry.py Chip design, fabrication, equipment
Chemical chemical_industry.py Specialty chemicals, petrochemicals, materials
Cybersecurity cyber_industry.py Network, endpoint, cloud, identity, GRC
Space space_industry.py Launch, satellites, ground systems
Actuators actuator_industry.py Electric, hydraulic, pneumatic actuators
Robotics robotics_industry.py Industrial, service, collaborative robots
Safety Compliance safety_compliance_industry.py EHS, process safety, aviation/maritime/railway safety
Insurance insurance_industry.py Life, P&C, health, reinsurance — global premium pools
Cyber Insurance cyber_insurance_industry.py Carriers, MGAs, reinsurers, strategy archetypes, threat-to-claim flows
Japan Economy japan_economy.py GDP-equivalent sector mix and representative listed leaders
Ocean / Blue Economy ocean_industry.py Shipping, offshore energy, fisheries, tourism, shipbuilding, naval defense, subsea infrastructure. Appendix: shipping decarbonization deep dive
Lloyd's Syndicate-in-a-Box lloyds_siab.py All 14 SiaBs approved (2020-2026): sectors, stamp capacity, outcomes, Carbon 4747 growth, managing agent concentration, new entrant comparison

Requirements

  • uv
    curl -LsSf https://astral.sh/uv/install.sh | sh
    

Quick Start

Run any industry notebook:

uv run marimo run notebooks/<industry>_industry.py

Other commands:

  • make all - runs main.py
  • make fmt - format code with Black
  • make test - run all tests

Credits

This software uses the following tools:

  • marimo - Reactive Python notebooks
  • Plotly - Interactive visualizations
  • uv - Fast Python package manager

About the Core Contributors

Made with contrib.rocks.

About

📊〽️ Analysis of industries & their margin

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