Glossary

biannual industry forecast

Biannual industry forecast is the twice-yearly WSTS/SIA release that projects semiconductor market size for the three following calendar years. The cataloged SIA Semiconductor Market Data & Factbook record documents these forecasts from 2000 onward, giving analysts roughly two decades of comparable outlook vintages.

What is biannual industry forecast?

The biannual industry forecast in the semiconductor world is the WSTS consensus, published through SIA twice a year. Each release states expected market size for three forward calendar years, so at any moment three overlapping forecast vintages are live.

One cataloged record anchors the category: the SIA Semiconductor Market Data & Factbook, described as carrying 'biannual forecasts from 2000 covering three forward calendar years'. That single line fixes the two facts buyers need - cadence and horizon. It also implies an archive structure: because each year contributes two releases, a forecast-history file grows by two vintages annually, and comparing them is how analysts measure how wrong the industry was and when. The Factbook pairs the forecasts with actuals, which is what makes vintage comparison possible; the related sia-factbook and wsts-market-data entries cover those companion series.

Why does biannual industry forecast matter when choosing a dataset?

Forecast vintages age fast, and using the wrong one quietly changes conclusions. A capacity plan built on the spring release can be invalidated by the autumn revision of the same year; citing 'the forecast' without its month invites exactly that confusion.

Three buyer consequences follow. First, horizon discipline: each release covers three forward calendar years, so year-three projections carry compounding uncertainty that year-one figures do not - treat them as different products despite sharing a document. Second, revision tracking is the real value: with releases twice a year since 2000, the interesting dataset is the sequence of revisions, not the latest headline. Third, sourcing clarity matters because WSTS produces and SIA publishes - a team quoting 'SIA forecasts' and one quoting 'WSTS forecasts' are usually citing the same numbers, but only if both trace to the same release month.

How do you evaluate biannual industry forecast in a data source?

  1. Pin the release month, not just the year. With two releases annually since 2000, a citation missing its month cannot be verified against the archive.
  1. Respect the three-year horizon boundary. The record specifies three forward calendar years per release; any projection past that edge is extrapolation, not sourced forecast.
  1. Compare vintages deliberately. Pulling the same target year from successive releases shows how the forecast moved - the core analytic use of a biannual archive.
  1. Pair forecasts with actuals before scoring accuracy. The Factbook supplies both sides; scoring a vintage against later WSTS/SIA actuals is the only fair test.

Entries covering the companion semiconductor market series:

Frequently asked questions

How often are WSTS/SIA semiconductor forecasts released?

Twice a year. The SIA Semiconductor Market Data & Factbook record describes 'biannual forecasts from 2000 covering three forward calendar years'.

How far ahead does each forecast look?

Three calendar years forward from each release, so the archive holds overlapping vintages that can be compared against realized market size.

Why keep old forecast vintages?

Because revisions are informative: comparing successive biannual releases against actuals reveals how and when the industry's expectations shifted, which a single latest-release snapshot cannot show.

Datasets containing this field

Datasets containing biannual industry forecast

6 datasets carry biannual industry forecast in the catalog. Open one, count the fields, judge for yourself.

Electronic Equipment & Instruments

Census Foreign Trade – Schedule B / HS-Based Trade Statistics

Industries EU member states beside EU institutions… · Per-record issue and revision…

EU Open Data Portal - Electronics Datasets

id · identifier · title …+11 more

Electronic Equipment & Instruments

Google Patents Public Data on BigQuery

Electronic Equipment & Instruments

Hugging Face Datasets - Electronics & Semiconductors

id · downloads · likes …+5 more

Industries

JEITA Electronics Shipment & Production Statistics

Product category · Sub-category · Unit …+3 more

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