Boeing Commercial Market Outlook

The longest-running quantitative forecast in commercial aviation, issued for more than six decades and cited as the industry benchmark beside the Airbus Global Market Forecast. The current edition spans 2026-2045, and its spine is simple arithmetic stated boldly: passenger traffic compounds near 4% a year, doubling global traffic inside the window; the fleet grows roughly 80% to more than 50,000 airplanes; and fulfilling both requires nearly 44,000 new deliveries, about half of them replacements rather than growth.

What separates it from a press release is the machinery underneath. The methodology combines traffic and capacity analysis with fleet data spanning nearly 200 airlines and every commercial passenger jet above 30 seats, resolved across more than 50 regional origin-destination flows and eleven world regions. The result ships as seven workbook views - airplane, freighter, services and traffic forecasts each condensed onto a page, plus the aircraft market sectors beneath them. Two layers most rivals omit ride along: services market value in USD billions across digital, maintenance and training lines, and the pilot, technician and cabin-crew headcount the fleet will demand.

Get a sample of this dataset - name the regions, segments or flows and the sample returns real rows in the dictionary below.

Three cuts of the same forecast, flat exactly as they arrive:

# airplane forecast on a page -- illustrative rows in the delivered shape
metric          : airline_traffic_growth_rpk_2025_2045
world           : 0.040        china      : 0.058       south_asia : 0.068

metric          : deliveries_2026_2045      segment    : single_aisle
world           : 33545        china      : 7215        north_america : 1505

metric          : deliveries_2026_2045      segment    : widebody
world           : 7715         china      : 1460        middle_east : 1370

# traffic forecast on a page -- one row per origin-destination flow, RPK billions
traffic_flow    : africa__europe
2015            : 147.6        2025       : 212.8

# headline row
deliveries_2026_2045 : ~44,000     fleet_by_2045 : 50,000+     freighters : 2,900+

Read together, the rows tell the industry's story in six lines. World traffic compounds at 4.0% while South Asia runs 6.8% and China 5.8% - the growth gap that redraws route networks. Single-aisles dominate the delivery book 33,545 to 7,715, yet the widebody rows show where long-haul capacity concentrates: China takes 1,460 and the Middle East 1,370, nearly matching each other while playing a different game than North America's 1,505 single-aisles. And the flow row is the quiet one worth the most - Africa--Europe traffic grew 147.6 to 212.8 billion RPKs over a decade of actuals, the kind of paired history that lets you calibrate a forecast against what already happened.

Twelve fields, one natural key: region x year x segment x flow. Definitions were checked against the workbook itself during the August 2026 research pass. Three deserve attention before anyone writes a join. airline_traffic_growth_rpk is a compound rate, not a level - apply it to a base-year traffic figure rather than summing it. deliveries decomposes cleanly across the four segment columns, so regional-jet plus single-aisle plus widebody plus freighter reconciles to the regional total without double counting. And traffic_flow carries its own history to 2015, which makes it the only field in the dictionary where measured past and projected future sit side by side - ideal for scoring how the forecast has aged. The complete dictionary follows in the table below.

Geography - global, organized as eleven regions from Africa and China through Northeast Asia, Oceania and a World rollup, then refined by more than fifty origin-destination flows that preserve who flies whom rather than collapsing everything to national totals.

Temporal - the current edition projects 2026 through 2045, and the traffic view carries measured history back to 2015. That decade of actuals is what turns the forecast from a claim into something testable: every projected flow can be scored against the observed trajectory it extended.

Granularity - by year, region, flow and aircraft segment (regional jet, single aisle, widebody, freighter), with services demand broken down by digital, maintenance and training and personnel demand by role. Against a Datadory catalog whose mean quality score sits at 7.81 across 1,744 datasets, this record scores 7/10: verified definitions and unmatched forecast pedigree, docked for sponsor authorship and a segment taxonomy fixed at four classes.

API, files, or your warehouse. Daily, weekly, or hourly.

Your cadence is decoupled from the forecast's own rhythm. Take the full 2026-2045 panel once and model offline, or keep a warehouse table current so each successive edition diffs cleanly against the last - the twelve-field dictionary stays fixed either way, so pulls append instead of colliding. Rows arrive typed and normalized: growth rates as decimals, delivery counts as integers, flows kept as origin--destination pairs rather than flattened strings, and the headline figures attached as their own rows instead of footnotes. Name the regions, segments or year windows when you request the sample and it lands cut to that scope; the sample ships first regardless.

• Demand forecasting - seed traffic models with region-level RPK compound growth and validate them against the 2015-back flow history (demand forecasting use cases).
• Market sizing - convert 41,260 combined single-aisle and widebody deliveries into addressable-market math for engines, seats, avionics and MRO (market sizing use cases).
• Aftermarket strategy - size services value by line and crew demand by role, the layer of the business the hardware numbers obscure.
• Freighter and cargo planning - separate production freighters from conversions within the 2,900-plus total and align fleet plans with ~3.7% cargo growth.
• Route and network development - read emerging-market skew through origin-destination flows rather than national aggregates.
• Investment screening - translate the delivery book into revenue and backlog proxies for airframers, lessors and suppliers.

Market researchers and consultants (relevance 3/3) get the citation-grade baseline for every aviation market-sizing engagement - see market researchers use cases. Competitive intelligence and product teams (2/3) track where 55% of deliveries land (competitive intel use cases). Investors and quant researchers (2/3) turn the delivery book into forward revenue signals (investors quants use cases). Data scientists and ML engineers (2/3) inherit typed twenty-year panels ready for scenario work (data scientists use cases). Sales teams timing territory entry (sales growth teams use cases) and journalists pinning a vintage before quoting (journalists academics use cases) round out the six.

They are the only two forecasts anyone cites, published against the same 2026-2045 horizon and the same 7/10 rubric score in our catalog - so the choice is about grain, not credibility. Airbus resolves demand by aircraft size class and adds country-level propensity-to-travel data, which makes it stronger on passenger economics and country-entry questions. Boeing counters with eleven regions and fifty-plus origin-destination flows, a dedicated freighter panel separating production from conversions, and the layer Airbus lacks entirely: services market value by line plus crew-headcount demand. Practical rule: aftermarket, cargo and network-flow questions take this record; country-level travel-propensity questions take Airbus. Serious shops run both and publish the spread.

Four things, stated plainly. First, this is a sponsor-authored forecast - the publisher sells the airplanes it projects - so treat point estimates as positioning and lean on the documented methodology (nearly 200 airlines, jets above 30 seats, fifty-plus flows) when defending a number. Second, the segment taxonomy is fixed at four classes, so narrow-body sub-variants and engine splits never appear; finer resolution belongs to your model, not this record. Third, only the traffic view carries measured history (back to 2015) - the fleet and delivery panels are purely prospective, which matters if you intend to score accuracy. Fourth, each edition rolls the window forward a year, so always pin the edition vintage when quoting; we retain prior editions precisely so yesterday's citations stay checkable.

Notes that pair well with this page:

• The aerospace & defense data hub collects every dataset in the industry, this one included.
• Best-of ranking: aerospace & defense datasets puts this record in context against its alternatives.
• Airline-side counterpart: BTS T-100 air carrier statistics supplies measured traffic that scores any forecast against.
• Field guide: aerospace & defense data guide walks the full industry stack.