Logistics, Automotive & Retail — Integrated Map
🌍 Logistics & Human-Mobility — Workforce, People, Goods, and Pressure Map
Approximate figures (global, annual)
Integrated view with icons for time pressure, human urgency, cash strain, debt risk, and user-acquisition intensity.
⏱️ Time-critical
❤️ Human-critical timing
📞 Cash-flow strain
⭐ Debt / payroll risk
💵 Heavy user acquisition
🚚 Road
🚌 Bus/Coach
🚆 Rail
✈️ Air
🚢 Sea / Terminals
📦 Warehouse / Parcel
🤲 Humanitarian
| Segment |
Mode |
Icons |
👥 Workers |
🧍♂️ Trips / year |
📦 Goods / year |
| Road freight | 🚚 | ⏱️📞⭐ | 45–60M | — | 40–50B t |
| Courier / last-mile | 🚚 | ⏱️📞⭐❤️💵 | 8–12M | — | ~200B parcels |
| Warehousing & storage | 📦 | ⏱️ | 25–35M | — | — |
| └ Cross-dock fast hubs | 📦 | ⏱️📞⭐❤️ | 3–5M | — | — |
| └ Cold chain | 📦 | ⏱️⭐❤️ | 3–5M | — | — |
| E-commerce fulfillment | 📦 | ⏱️📞⭐❤️💵 | 6–10M | — | — |
| Rail freight | 🚆 | ⏱️ | 1–2M | — | 9–11B t |
| Urban & regional bus | 🚌 | ⏱️❤️💵 | 8–12M | 200–300B | — |
| Long-distance coach | 🚌 | ⏱️❤️ | 1–2M | 5–10B | — |
| Rail passengers | 🚆 | ⏱️❤️💵 | — | 15–20B | — |
| Port terminals (pax + freight) | 🚢 | ⏱️❤️ | 0.2–0.5M | 2–3B | 12–13B t / ~0.9B TEU |
| Air cargo | ✈️ | ⏱️ | 0.8–1.2M | — | 60–70M t |
| Air passengers | ✈️ | ⏱️❤️💵 | — | 4.5–5B | — |
| Inland ferries / barge (pax + freight) | 🚢 | ⏱️❤️ | 0.5–1M | 0.1–0.3B | 0.5–1.5B t |
| Postal networks | 📦 | ⏱️❤️ | 3–5M | — | 100–150B items |
| 3PL forwarding | 🌐 | ⏱️📞⭐ | 2–4M | — | — |
| Customs brokerage | 🌐 | ⏱️📞⭐❤️ | 0.5–1M | — | — |
| Fleet services / MRO | ⚙️ | 📞⭐❤️ | 5–8M | — | — |
| Food & perishables chain | 🥬 | ⏱️⭐❤️ | 6–9M | — | Billions t (fresh) |
| Retail / FMCG logistics | 🛒 | ⏱️📞⭐❤️💵 | 8–12M | Daily consumers | Billions t |
| Pharma supply chain | 💊 | ⏱️❤️ | 1–2M | — | — |
| Automotive logistics | 🚗 | ⏱️ | 1–2M | — | — |
| Mining & energy logistics | ⛏️ | ⏱️ | 1–2M | — | Bulk (billions t) |
| Construction logistics | 🏗️ | ⏱️ | 2–4M | — | Heavy bulk flow |
| Humanitarian logistics | 🤲 | ⏱️📞⭐❤️ | 0.2–0.4M | 0.1–0.2B served | Aid flows |
🧭 Macro Workforce Totals
| Region | Workers |
|---|
| Europe (EU-27) | ~10–11M |
| Americas (North + South) | ~25–35M |
| World (logistics + mobility) | ~150–200M |
All figures are order-of-magnitude estimates for planning and presentation.
💵 Where user-scale wars are strongest
- Urban transit (bus, rail) — ridership & subsidies
- Airlines — loyalty, network dominance
- E-commerce & parcels — infinite scale race
- Retail logistics — stores + delivery compete for daily users
- Ride-hail / micromobility (if included) — pure acquisition engines
❤️⏱️💵 Intersections
- ❤️ + ⏱️ + 💵 → sacred time + user pressure (bus, rail, courier, healthcare delivery)
- 📞 + ⭐ + 💵 → financially fragile growth (e-commerce logistics, gig last-mile, retail chain)
🚗 Global Automotive Market Value (USD billions)
⭐ Beautiful / aspirational (automotive)
🧠 Practical for people (automotive)
⚡️ EV
⛽ ICE
⛽ Non-Electric (ICE ecosystem)
| Line | Value (USD B) |
|---|
| ⭐ Vehicle manufacturing (ICE) | 3,400 |
| ⭐ Parts & components (ICE) | 750 |
| 🧠 Aftermarket (ICE) | 600 |
| Fuel system supply chain | 350 |
| 🧠 ICE service & repair networks | 400 |
| 🧠 Auto finance (ICE share) | 240 |
| ⭐🧠 Insurance (ICE share) | 750 |
| ⭐🧠 Car rental (ICE share) | 100 |
| Total Non-Electric | ≈ 6,590 B (~6.6 T) |
|---|
⚡️ Electric (EV ecosystem)
| Line | Value (USD B) |
|---|
| ⭐ Vehicle manufacturing (EV) | 900 |
| ⭐ EV parts & components | 250 |
| ⭐ Batteries | 120 |
| ⭐🧠 EV charging infrastructure | 50 |
| EV software & power electronics | 60 |
| 🧠 EV service networks | 40 |
| 🧠 Auto finance (EV share) | 60 |
| ⭐🧠 Insurance (EV share) | 150 |
| ⭐🧠 Rental fleets (EV share) | 20 |
| Total Electric | ≈ 1,650 B (~1.65 T) |
|---|
📊 Macro
| Type | Total |
|---|
| EV ecosystem | ~$1.65 trillion |
| Non-EV ecosystem | ~$6.6 trillion |
| Global Total | ~$8.2 trillion |
🧠 Key ratios
- EV share of total industry value: ~20%
- ICE share: ~80% (and shrinking)
🛍️ Retail Sectors — Shares, Growth & Youth Interest
⭐ Younger users most present / interested (retail)
👥 Users growing (retail)
🇺🇸 US-led growth
🇨🇦 Canada-led growth
🇺🇸🇨🇦 Growth in both
Health & Beauty — % of Category (Total = 100% = $671B)
| Sub-Industry | % of Category | Growth |
|---|
| ⭐👥 Skincare | 28% | 🇺🇸🇨🇦 |
| ⭐ Cosmetics & fragrance | 24% | — |
| Personal care & hygiene | 20% | — |
| ⭐ Hair care & styling | 11% | — |
| ⭐👥 Men’s grooming | 6% | 🇺🇸 |
| 👥 Beauty devices | 3% | 🇺🇸🇨🇦 |
| 👥 Pharmacy beauty channels | 5% | 🇨🇦 |
| Salon / professional products | 3% | — |
Bottled Water — % of Category (Total = 100% ≈ $343B)
| Sub-Industry | % of Category | Growth |
|---|
| 👥 Still water | 55% | 🇺🇸 |
| ⭐👥 Sparkling water | 20% | 🇺🇸🇨🇦 |
| ⭐ Flavored water | 10% | — |
| ⭐👥 Functional water | 10% | 🇺🇸 |
| ⭐ Luxury/premium | 5% | 🇺🇸 |
Non-Alcoholic Beverages — % of Category (Total = 100% ≈ $1.40T)
| Sub-Industry | % of Category | Growth |
|---|
| ⭐ Soft drinks (CSD) | 40% | — |
| ⭐👥 Energy drinks | 10% | 🇺🇸 |
| ⭐👥 Sports drinks | 7% | 🇺🇸 |
| ⭐👥 RTD coffee & tea | 8% | 🇺🇸🇨🇦 |
| Juices & nectars | 12% | — |
| ⭐👥 Functional/vitamin | 10% | 🇺🇸🇨🇦 |
| ⭐👥 Plant-based drinks | 5% | 🇺🇸 |
| Other/mixers | 8% | — |
Consumer Electronics — % of Category (Total = 100% ≈ $1.21T)
| Sub-Industry | % of Category | Growth |
|---|
| ⭐ Smartphones | 36% | — |
| Computers/tablets | 19% | — |
| TV/streaming | 12% | — |
| ⭐👥 Wearables | 10% | 🇺🇸 |
| ⭐👥 Smart home / IoT | 8% | 🇺🇸 |
| ⭐👥 Audio & headphones | 7% | 🇺🇸🇨🇦 |
| ⭐👥 Gaming devices | 6% | — |
| ⭐ Cameras & imaging | 2% | — |
Household Appliances — % of Category (Total = 100% ≈ $503B)
| Sub-Industry | % of Category | Growth |
|---|
| Refrigeration | 22% | — |
| Laundry (wash/dry) | 21% | — |
| Cooking appliances | 18% | — |
| Dishwashers | 8% | — |
| 👥 Air & air treatment | 12% | 🇺🇸 |
| 👥 Vacuum/floor care | 9% | 🇺🇸🇨🇦 |
| ⭐👥 Small kitchen appliances | 10% | 🇺🇸 |