SPACE ACCESSIBILITY INDEX

Methodology →
60.9
/ 100
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Space Accessibility Index

Actual: 60.9
Projection: 60.8 (includes analyst estimates)
Tier: Mature
Momentum: ↑ (+4.3 YoY)

Sector sub-indices (all 13)

SectorActualProjectionConfidence
Launch & Reusable Rockets66.766.7
Satellite Broadband & Direct-to-Cell54.854.8
Earth Observation & Geospatial Intelligence56.156.1
In-Space Servicing, Assembly & Manufacturing (ISAM)53.753.7
Pharmaceutical Manufacturing in Microgravity48.948.9medium
Commercial Space Stations & Tourism49.449.4
Hypersonic Flight Testing-as-a-Service54.654.6
ZBLAN Optical FiberInsufficient data64.7low
Space-Manufactured Semiconductors & Advanced AlloysInsufficient data64.7
Bioprinting & Tissue EngineeringInsufficient data22.7medium
Orbital Data Centers65.626.5low
Space-Based Solar Power53.935.6low
Asteroid & Lunar Resource Extraction57.857.8
Satellite ManufacturingInsufficient data--

Top factor movers

  • spacecraft_deployed: +60.6% YoY
  • commercial_crew_missions: +33.3% YoY
  • annual_launches: +24.0% YoY
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MASS TO ORBIT
metric tons/year
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SPACE ECONOMY
USD billions
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COST TO LEO
USD/kg
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PRIVATE INVESTMENT
USD billions
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GOV SPACE BUDGETS
USD billions
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COMMERCIAL GRANTS
USD billions

COMPOSITE SAI — ACTUAL vs. PROJECTION

The Actual composite is computed bottom-up from source-backed sector sub-indices. The Projection composite fills thin-data sectors with analyst-authored estimates (Torak). The gap between them is itself the signal — it tells you which parts of the space economy we can measure today vs. which are still analyst-inferred.

ACTUAL
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Source-backed factor data only.
PROJECTION
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Includes analyst estimates — fills data gaps for thin-coverage sectors.

SECTOR SUB-INDICES (13)

Each of the 13 first-class space sectors gets its own sub-index in both tracks. Sectors flagged "Insufficient data" in Actual are the ones the Projection column fills in — and the coverage gap bar shows the size of that fill.

SORT

SAI COMPOSITE TREND (2010–PRESENT)

CONTRIBUTING FACTORS — ALL 17, RANKED BY WEIGHT

SUPPLY CHAIN TIER BREAKDOWN

SCENARIO MODELING

Adjust factor scores to model what-if scenarios. Each slider represents a factor's normalized score (0–100). Use presets or drag individual sliders.

FACTOR RELATIONSHIPS

How SAI factors move relative to each other, based on 16 years of historical data. Understanding these relationships reveals which parts of the space economy are structurally linked and which move independently.

K_ACCESS — KARDASHEV COMPANION

Methodology →
K_access · T12M
A single-factor, judgment-free physical derivative published alongside SAI as a check on SAI's weighted judgment. K_access = log10(M) / 9, where M is trailing-12-month payload mass delivered to orbit in kg.
Anchors: M = 1 kg/yr → K = 0.00 (pre-spaceflight floor). M = 109 kg/yr (1 Mt — interplanetary logistics threshold) → K = 1.00.
Historical series 1957–present
Bars colored by method flag: mixed/measured · estimated · insufficient. Per-mission measured mass dual-sourcing is on the v1.1 roadmap.

TRANSPARENCY

Full methodology →

SAI is a weighted composite of 17 sub-metrics grouped across three presentational axes — Outward Capacity (Kardashev), Inward Sophistication (Barrow), and Economic Depth (finance). Every datapoint carries a confidence tag (reported / derived / estimated). Methodology version v1.0 — see the full methodology page for the lineage, the §3 axis table, and the K_access companion stat.

SPACE FINANCE INTELLIGENCE
Launch alerts + weekly analysis. Every Tuesday at 8 AM ET.