📊〽️ Interactive market segmentation analysis across industries.
Industries • Requirements • Quick Start • Credits • About the Core Contributors
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. Appendix: robotics actuator deep dive — precision reducers, servo/drives, integrated joint modules and robot OEMs across Japan/China/Europe-US; sourced market-share table, China RV substitution trend, humanoid BOM split, and a "value accrues in the joint" thesis |
| Robotics | robotics_industry.py |
Industrial, service, collaborative robots |
| Robotics Insurance | robotics_insurance_industry.py |
The emerging, largely unmeasured line covering robots and autonomous systems: the protection gap (4.66M robots deployed vs. ~$0.5B dedicated premium), how robot risk hides inside product-liability/CGL/workers-comp books, coverage-type and buyer segmentation, an insurtech/carrier market map and strategy archetypes, failure-vector-to-claim flows, long-tail claim timelines, fleet-wide systemic risk, and the widening AI-exclusion coverage gap |
| 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. Appendix: insurance market structure entry — the signal/distribution/risk-transfer layer model, the revenue-multiple gradient, cyber insurance conditions (2024-2026), and who funds cyber insurance (worked case: Evolution Equity Partners) |
| Cyber Insurance | cyber_insurance_industry.py |
Carriers, MGAs, reinsurers, strategy archetypes, threat-to-claim flows |
| Japan Insurance | japan_insurance_industry.py |
Japanese market structure: Big Three P&C (Tokio Marine, MS&AD, Sompo), internationalization trend (FY2014-FY2026), domestic line-of-business mix, Big Three cyber books, and a life/non-life/third-sector company treemap |
| 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 |
| Human Sensory Bandwidth | sensory_bandwidth.py |
Raw sensory input vs. conscious experience: bandwidth funnel, the missing senses, interactive effective-bandwidth toy model, scenario presets, output channels, five definitions of "human bandwidth" |
- uv
curl -LsSf https://astral.sh/uv/install.sh | sh
Run any industry notebook:
uv run marimo run notebooks/<industry>_industry.pyOther commands:
make all- runsmain.pymake fmt- format code with Blackmake test- run all tests
This software uses the following tools:
- marimo - Reactive Python notebooks
- Plotly - Interactive visualizations
- uv - Fast Python package manager
Made with contrib.rocks.

