JEITA Electronics Shipment & Production Statistics
Datadory delivers electronic equipment & instruments data covering the JEITA Electronics Shipment & Production Statistics: monthly Japanese domestic unit shipments and year-over-year change by product category - flat-panel TVs, BD recorders, car navigation, car audio, stereo headphones - archived back to 2000. Get a sample of this dataset and inspect real rows before you commit.
What is the JEITA Electronics Shipment & Production Statistics dataset?
It is the Japan Electronics and Information Technology Industries Association's monthly read on Japanese consumer-electronics demand - Domestic Shipments of Major Consumer Electronic Equipment, reported in thousand-unit volumes and year-over-year percent change for every product category, archived continuously since 2000. One yearly table carries roughly 15-20 categories: flat-panel-display TVs broken into screen-size bands plus a 4K TV line, BD recorders, digital video cameras including action cameras, satellite-broadcast antennas, system audio, amplifiers, speaker systems, radio receivers, stereo headphones, car navigation systems, car AV main units, and display audio. The association itself positions the series as the standard means of tracking Japanese domestic market trends for AV equipment - which makes it the baseline any electronic-equipment analysis of Japan gets measured against.
JEITA also keeps companion series in the same statistics family - a production line for electronic equipment and an exports/imports series, with WSTS carrying semiconductors - so a demand read never has to lean on shipments alone. Get a sample of this dataset and we will return rows shaped exactly like the dictionary below, cut for the categories and months you name.
What do JEITA shipment rows look like?
Two row types interleave in every yearly table: volume rows in 1,000 units and year-over-year percent-change rows for the same category. Observed values from the 2026 table:
category Flat-panel-display TVs unit 1,000 units
2026-01 351
2026-02 335
2026-03 377
year-to-date 2,058
category Flat-panel-display TVs unit % YoY
2026-01 104.8
2026-06 102.9
year-to-date 97.5
category BD recorders unit 1,000 units
2026-01 55 · 2026-02 51
category Car navigation systems unit 1,000 units
2026-01 208 · 2026-02 215
category Stereo headphones unit 1,000 units
2026-01 314 · 2026-02 310Every number above is an observed value, not an illustration: 351 means 351,000 flat-panel TVs shipped domestically in January 2026, running at 104.8% of January 2025, while the cumulative year-to-date total stood at 2,058 thousand units at 97.5% of the prior year's pace. Volume row beside percent-change row, category beside category - that pairing is what turns a shipment table into a demand read.
What fields does the dataset include?
Six fields anchor the dictionary, each verified against the published tables. Every row is one category-month observation, so a single year yields hundreds of rows once volume and percent-change lines are both counted.
Additional fields on request: yen-value shipment series alongside unit counts where published, finer category breakdowns (the 4K TV line, screen-size bands from under 29 inches through 60 inches and above), and the companion production and exports/imports tables for electronic equipment. Column-level naming is confirmed against live records when we prepare your sample - anything outside the core dictionary travels as an add-on, never as a surprise.
How is the data covered?
Three chips summarize the footprint:
- Geography: Japan domestic shipments only - the series measures what Japanese households bought at home, not what the country exported. Cross-border reads need the companion trade series.
- Time frame: 2000 through the current year, monthly, with no gap in the archive. The 2016 edition splits into January-March and April-December halves around a methodology change, which anyone building a long series splices deliberately.
- Granularity: monthly, by product category and sub-category - roughly 15-20 categories per yearly table, each carrying its volume row and its year-over-year percent-change row.
Set against the wider Datadory catalog - where the average quality score across all 1,744 datasets is 7.81 - this slice scores 7/10, carried by a long unbroken archive and a clean category structure, held back by preliminary-figure revisions.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Who uses this data?
Ranked by how directly the series answers the day job:
- Market researchers. Size Japan's consumer-electronics categories from official association data, 2000-present, monthly - category momentum in units rather than vendor press releases.
- Investors & quants. Track Japan AV shipment cycles as the demand signal behind consumer-hardware exposure; the year-over-year percent-change rows are pre-computed cycle markers.
- Data scientists. Model Japanese consumer-electronics demand on a monthly unit-and-change panel by category - a compact, complete training surface instead of a pile of news snippets.
- Competitive intelligence & product teams. Watch category shipment shifts for share moves among Japanese brands; a category turning over ahead of a rival's product refresh says more than either company's roadmap deck.
- E-commerce operators. Gauge local demand for flat-panel TVs and car navigation before committing assortment or ad spend in Japan.
- Sales & growth teams. Size Japanese consumer-electronics accounts on category shipment momentum instead of employee-count guesswork.
- Journalists & academics. Cite reported association figures directly - published values, not estimates - with the Japan-only scope stated up front.
What makes this dataset hard to work with raw?
Three things, all solved by taking it through Datadory. The rows mix measurement bases: volume lines in thousand units sit directly above percent-change lines for the same category, so a naive parser averages televisions with percentages - here the Unit field arrives typed. The archive is one table per year since 2000, each with its own layout drift, and 2016 ships as two half-year editions around a methodology change; stitching a 27-year series means reconciling all of it by hand, which is exactly the work our pipeline does once so you never repeat it. Figures publish preliminary and get revised: early months move, and anyone who snapshotted the first print owns a stale number forever unless revisions flow through. Our deliveries pass revisions along, so your history stays aligned with the final record.
Which notes pair with this dataset?
Notes that pair well with this page:
- Electronic equipment & instruments data hub - the pooled industry view, from patent streams to component catalogs.
- JEITA shipments vs WIPO Global Innovation Index IP statistics - demand-side shipment volumes against innovation-side filing counts for the same economy.
- Persona pages - what market researchers, quants and data scientists each do with this slice, industry by industry.
Sample rows — 2026 monthly observations, volume rows beside year-over-year percent-change rows
| Product category | Unit | Reference month | Value |
|---|---|---|---|
| Flat-panel-display TVs | 1,000 units | 2026-01 | 351 |
| Flat-panel-display TVs | 1,000 units | 2026-02 | 335 |
| Flat-panel-display TVs | 1,000 units | 2026-03 | 377 |
| Flat-panel-display TVs | 1,000 units | 2026 year-to-date | 2,058 |
| Flat-panel-display TVs | % YoY | 2026-01 | 104.8 |
| Flat-panel-display TVs | % YoY | 2026-06 | 102.9 |
| Flat-panel-display TVs | % YoY | 2026 year-to-date | 97.5 |
| BD recorders | 1,000 units | 2026-01 | 55 |
| BD recorders | 1,000 units | 2026-02 | 51 |
| Car navigation systems | 1,000 units | 2026-01 | 208 |
| Car navigation systems | 1,000 units | 2026-02 | 215 |
| Stereo headphones | 1,000 units | 2026-01 | 314 |
| Stereo headphones | 1,000 units | 2026-02 | 310 |
Field dictionary — core fields (full dictionary with examples delivered with your sample)
| Field | Type | Definition | Example |
|---|---|---|---|
| Product category | string | Consumer electronic equipment category being measured. | Flat-panel-display TVs |
| Sub-category | string | Breakdown within a category where provided. | Screen sizes 50 inches to 59 inches |
| Unit | enum | Measurement basis for the row: '1,000 units' for volume rows or '%' for year-over-year change rows. | 1,000 units |
| Monthly shipment value | number | Units shipped in the month (thousands) or percent change versus same month of previous year. | 406 |
| Year-to-date total | number | Cumulative figure for the current year to date. | 2,058 |
| Reference month | date | Calendar month the observation applies to. | 2026-06 |
Coverage chips
| Dimension | Coverage |
|---|---|
| Geography | Japan — domestic shipments of consumer electronic equipment |
| Temporal | 2000 through the current year, monthly; 2016 split into January-March and April-December editions around a methodology change |
| Granularity | Monthly, by product category and sub-category, with a volume row and a year-over-year percent-change row per category |
| Categories observed | Roughly 15-20 product categories per yearly table |
Additional fields available on request
| Field group | Notes |
|---|---|
| Yen-value series | Monetary shipment values alongside unit counts where published; included in your sample on request. |
| Finer category breakdowns | The 4K TV line and screen-size bands from under 29 inches through 60 inches and above, plus camera, antenna and audio sub-categories. |
| Companion production & trade tables | The associated production statistics and exports/imports series for electronic equipment; the current table set is confirmed against live records when your sample is prepared. |
Questions buyers ask
What fields does the JEITA electronics shipment statistics dataset include?
Six core fields, one row per category-month: product category, sub-category, unit basis (thousand units or year-over-year percent), monthly shipment value, year-to-date total, and reference month. Yen-value series and finer breakdowns such as the 4K TV line and screen-size bands are confirmed with your sample.
How far back does JEITA shipment data go?
The archive runs continuously from 2000 through the current year at monthly frequency, with roughly 15-20 product categories per yearly table. The 2016 edition is split into January-March and April-December halves around a methodology change, so a long-run series needs that seam spliced deliberately.
Which product categories does the dataset cover?
Flat-panel-display TVs with screen-size bands and a 4K TV line, BD recorders, digital video cameras including action cameras, satellite-broadcast antennas, system audio, amplifiers, speaker systems, radio receivers, stereo headphones, car navigation systems, car AV main units, and display audio.
Why do some JEITA rows show percentages instead of unit counts?
Every category carries two row types: volume in 1,000 units and year-over-year percent change versus the same month a year earlier. In January 2026, flat-panel TVs shipped 351 thousand units at 104.8% of the prior January - the pairing quotes absolute demand and cycle position from one table.
Can JEITA shipment figures change after publication?
Yes - figures publish preliminary and may be revised later, which is normal for association statistics. Deliveries through Datadory carry the revisions forward, so a series built on early prints converges on the final record instead of silently diverging from it.
Who uses JEITA electronics shipment statistics?
Market researchers sizing Japan's consumer-electronics categories, investors and quants reading AV shipment cycles as hardware demand signals, e-commerce operators planning TV and car-navigation assortments, sales teams qualifying accounts on category momentum, and journalists citing published association values.
Can JEITA figures be joined to my own point-of-sale data?
That is the standard ask. Records key on category and reference month, so matching against a sell-through or POS file is a category-by-month join. Tell us the shape of your file and the sample returns the matched rows plus fill rates per category.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.