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Country benchmark · 2026

OEE benchmark Türkiye 2026: manufacturing data, sector targets and downtime cost

The short answer: Manufacturing is 17.6% of gross value added in Türkiye (2025) and employs about 5,998,700 people. Loaded labour cost in manufacturing is 8.20 EUR/h (2025), which is the number that turns an hour of downtime into money. Typical OEE in the country's leading sectors runs 40–92%; the sector world-class targets are in the table below.

Official manufacturing statistics for Türkiye, the OEE ranges that apply to its leading sectors, a downtime-cost calculator preloaded with national labour and energy costs, and the incentives that can fund a monitoring project.

Key figures

Manufacturing share
17.6
% gross value added
2025 · ec.europa.eu
Manufacturing value added
219.9
EUR bn
2025 · ec.europa.eu
Manufacturing employment
5,999
thousand persons
2025 · ec.europa.eu
Manufacturing enterprises
not published in an official source we could read
Labour cost (manufacturing)
8.20
EUR per hour
2025 · ec.europa.eu
Industrial electricity price
0.062
EUR per kWh
2026-S1 · ec.europa.eu
Robot density
not published in an official source we could read
Enterprises using AI
not published in an official source we could read

Leading sectors and the OEE ranges that apply

The first columns are Türkiye's own sector mix (TÜİK (Türkiye İstatistik Kurumu / TurkStat)). The OEE columns are the oee-benchmark.org editorial ranges for that sector type: they are benchmarks for plants, not national statistics.

SectorWeightTypical OEEWorld-class targetDominant lossA × P × Q
Food, beverages, tobacco (C10-C12)
Food & beverage
EUR 31,025.4 m GVA (current prices) (2023)60–80%82%Changeover & startup losses90% × 93% × 98%
Textiles, wearing apparel, leather (C13-C15)
Textile / apparel
EUR 28,655.1 m GVA (current prices) (2023)40–60%73%Reduced speed & quality82% × 86% × 95%
Fabricated metal products (C25)
Metal fabrication / machine shop
EUR 15,563.0 m GVA (current prices) (2023)45–65%78%Setup & idling85% × 88% × 96%
Motor vehicles, trailers (C29)
Automotive (Tier-1 assembly)
EUR 13,943.1 m GVA (current prices) (2023)70–85%85%Changeover & minor stops92% × 95% × 99.5%
Machinery & equipment n.e.c. (C28)
Metal fabrication / machine shop
EUR 12,507.5 m GVA (current prices) (2023)45–65%78%Setup & idling85% × 88% × 96%
Basic metals (C24)
Continuous process (chemical, pulp)
EUR 12,151.7 m GVA (current prices) (2023)80–92%92%Unplanned stops95% × 97% × 99.5%
Electrical equipment (C27)
Electronics & semiconductors
EUR 10,666.9 m GVA (current prices) (2023)75–90%88%Reduced speed & defects93% × 96% × 99%
Rubber & plastics (C22)
Plastics injection moulding
EUR 10,388.6 m GVA (current prices) (2023)55–70%80%Minor stops88% × 90% × 97%
Chemicals (C20)
Continuous process (chemical, pulp)
EUR 10,117.9 m GVA (current prices) (2023)80–92%92%Unplanned stops95% × 97% × 99.5%

Downtime cost calculator: Türkiye defaults

Change any input and the result updates. The labour and electricity defaults are the national statistics quoted above, not your plant's figures; replace them with your own numbers for a real estimate.

Estimated downtime cost
–
per year · – per month
  • labour–
  • energy–
  • lost margin–

Industrial hubs

Regions ranked by official manufacturing employment or output. Each hub page lists the plants that set the local benchmark.

HubManufacturing employmentKey sectorsNotable plants
Istanbul
TR10 NUTS2
1,397 thousand persons (2025)textiles & apparel, chemicals & pharma, metal products, food, electronics & white goods HQs
Kocaeli / Gebze / Sakarya (East Marmara)
TR42 NUTS2 (Kocaeli, Sakarya, Düzce, Bolu, Yalova)
528.8 thousand persons (2025)automotive OEM (LCV, passenger cars), automotive suppliers, petrochemicals & refining, tyres, pharmaFord Otosan
Bursa / Eskişehir
TR41 NUTS2 (Bursa, Eskişehir, Bilecik)
593.7 thousand persons (2025)automotive OEM & suppliers, textiles, trucks & engines, machinery, aerospace componentsTofaş (Koç Holding / Stellantis), Ford Otosan
İzmir / Manisa (Aegean)
TR31 + TR33 NUTS2 (TR31 İzmir; TR33 Manisa, Afyonkarahisar, Kütahya, Uşak)
755.7 thousand persons (2025)consumer electronics & white goods, automotive suppliers, petrochemicals, food processing, steelVestel
Ankara
TR51 NUTS2
455.9 thousand persons (2025)defence & aerospace, machinery & agricultural equipment, buses, electronicsTUSAŞ / Turkish Aerospace
Konya / Kayseri / Gaziantep (Anatolian industrial cities)
TR52 + TR72 + TRC1 NUTS2 (TR52 Konya-Karaman; TR72 Kayseri-Sivas-Yozgat; TRC1 Gaziantep-Adıyaman-Kilis)
654.5 thousand persons (2025)machinery & agricultural equipment (Konya), furniture & white goods (Kayseri), textiles, carpets & food (Gaziantep), metal products

Funding and incentives for monitoring projects (status October 2026)

Programmes a production-monitoring or OEE project can use. Status was checked on the operator's page in October 2026; anything we could not confirm is marked unverified.

ProgrammeOperatorWhat it fundsStatusSource
KOBİ Dijital Dönüşüm Destek ProgramıKOSGEB (Küçük ve Orta Ölçekli İşletmeleri Geliştirme ve Destekleme İdaresi Başkanlığı)SME digital-transformation support programme (listed on the KOSGEB 'Destekler' menu); scope, ceilings and rates not read - detail page was rate-limitedunverified
kosgeb.gov.tr
Yapay Zekâ Kredisi (AI loan)KOSGEBAI-related loan product for SMEs (listed on the KOSGEB 'Destekler' menu); terms not readunverified
kosgeb.gov.tr
Yatırım Teşvik Sistemi (investment incentive system: VAT/customs exemption, tax reduction, SSI premium and interest support)Sanayi ve Teknoloji Bakanlığı (Ministry of Industry and Technology)Regional / strategic / priority investment incentives for new manufacturing capacity incl. machinery and software; manufacturing-technology investmentsunverified
sanayi.gov.tr
TÜBİTAK TEYDEB industry R&D programmes (1501 Sanayi Ar-Ge, 1507 KOBİ Ar-Ge, 1711 AI ecosystem calls)TÜBİTAK TEYDEBGrants for industrial R&D and SME R&D projects incl. digitalisation / AIunverified
tubitak.gov.tr
Model Fabrika (Yetkinlik ve Dijital Dönüşüm Merkezleri) / Dijital Dönüşüm programmeSanayi ve Teknoloji Bakanlığı with regional Chambers of Industry / Development AgenciesLearn-by-doing lean and digital transformation centres for SMEs (lean production, OEE-type shop-floor training) in several citiesunverified
modelfabrika.gov.tr
Türkiye Kalkınma ve Yatırım Bankası (TKYB) investment / apex loansTKYB (Development and Investment Bank of Türkiye)Long-term investment loans (incl. green and digital transformation lines) for manufacturers, often via intermediary banksunverified
kalkinma.com.tr

Trade shows and events 2026–2027

EventCityDatesSource
WIN EURASIA 2027Istanbul (İstanbul Expo Center, Yeşilköy)2-5 June 2027win-eurasia.com
Automechanika Istanbul 2027Istanbul (Tüyap)24-27 March 2027automechanika-istanbul.tr.messefrankfurt.com
MAKTEK Avrasya 2028Istanbul (Tüyap Fuar ve Kongre Merkezi)25-30 September 2028maktekfuari.com

Editor's note

Türkiye combines a large manufacturing base with the lowest labour cost in the Eurostat comparison set, which is why wiring harnesses, textiles and automotive supply have moved there. Robot density is not published by the IFR for 2024. OEE is used as the English acronym in Turkish plants; the useful comparison is by sector, with automotive assembly at 70–85% and textile lines at 40–60%.

How to use this benchmark

Measure first. Log availability, performance and quality per line for four weeks before comparing with the sector ranges; a benchmark without your own baseline is a guess.
Compare within your sector, not with the national average. A packaging line at 72% may be world-class; a bottling line at 72% has room.
Price the gap. Use the calculator with your own labour cost and margin, then check the incentives table: several programmes fund the sensors and software that close it.
Free download

Türkiye OEE Benchmark Pack 2026

Excel workbook: country profile, hubs, sector OEE ranges, downtime-cost calculator and incentives, with every source linked.

  • Country profile and hub table with sources
  • Sector OEE ranges: typical, world-class, A×P×Q
  • Downtime-cost calculator preloaded with Türkiye labour and energy costs
  • Incentives and 2026–2027 events

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Frequently asked questions

What is a good OEE in Türkiye?

There is no national OEE statistic: OEE is measured per line, and the useful comparison is by sector. For Türkiye's leading sectors the typical range is 40–92% and the world-class targets are listed above. Most plants that start measuring sit near 60%.

Where do these figures come from?

Manufacturing weight, employment, labour cost, energy price and robot density come from official statistics (TÜİK (Türkiye İstatistik Kurumu / TurkStat), Eurostat, the World Bank and the IFR); every figure links to the page it was read from. The OEE ranges are oee-benchmark.org editorial benchmarks.

What is in the Türkiye benchmark pack?

An Excel workbook with the country profile and sources, the hub table, the sector OEE ranges, a downtime-cost calculator with the national defaults already filled in, and the incentives and events lists. It is free; we ask for a work email.

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Sources and method

Figures are quoted as published, with the year and unit of each source; we do not convert currencies or estimate missing values. OEE ranges follow the oee-benchmark.org editorial process. Published by TEEPTRAK SAS, which sells production-monitoring and OEE software.

Data checked October 2026

  1. https://api.worldbank.org/v2/country/TUR/indicator/NV.IND.MANF.ZS?format=json&date=2022:2024&per_page=100
  2. https://api.worldbank.org/v2/country/TUR/indicator/NV.IND.MANF.CD?format=json&date=2022:2024&per_page=100
  3. https://api.worldbank.org/v2/country/TUR/indicator/SL.IND.EMPL.ZS?format=json&date=2022:2024&per_page=100
  4. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a10?geo=TR&nace_r2=C&unit=PC_TOT&na_item=B1G&sinceTimePeriod=2021&format=JSON
  5. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a10?geo=TR&nace_r2=C&unit=CP_MEUR&na_item=B1G&sinceTimePeriod=2021&format=JSON
  6. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfsa_egan2?geo=TR&nace_r2=C&sex=T&age=Y15-64&unit=THS_PER&sinceTimePeriod=2021&format=JSON
  7. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lc_lci_lev?geo=TR&nace_r2=C&lcstruct=D1_D4_MD5&unit=EUR&format=JSON&lang=en
  8. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nrg_pc_205?geo=TR&nrg_cons=MWH2000-19999&tax=X_TAX&currency=EUR&format=JSON&lang=en
  9. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C10-C12&sinceTimePeriod=2023&format=JSON
  10. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C13-C15&time=2023&format=JSON
  11. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C19&sinceTimePeriod=2023&format=JSON
  12. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C20&time=2023&format=JSON
  13. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C22&time=2023&format=JSON
  14. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C24&time=2023&format=JSON
  15. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C25&time=2023&format=JSON
  16. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C27&time=2023&format=JSON
  17. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C28&time=2023&format=JSON
  18. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_a64?geo=TR&na_item=B1G&unit=CP_MEUR&nace_r2=C29&time=2023&format=JSON
  19. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR10&sex=T&age=Y15-64&time=2025&format=JSON
  20. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR42&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  21. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR41&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  22. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR31&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  23. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR33&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  24. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR51&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  25. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR52&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  26. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TR72&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  27. https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/lfst_r_lfe2en2?geo=TRC1&sex=T&age=Y15-64&nace_r2=B-E&time=2025&format=JSON
  28. https://www.fordotosan.com.tr/en
  29. https://www.fordotosan.com.tr/en/operations/production/plants
  30. https://www.toyotatr.com/en/
  31. https://www.tofas.com.tr/en/Pages/default.aspx
  32. https://www.vestel.com.tr/kurumsal
  33. https://www.vestel.com.tr/content/rakamlarla-vestel
  34. https://www.tusas.com/en/corporate/about-us
  35. https://www.tusas.com/en/corporate/facilities
  36. https://www.aselsan.com/en/about-us
  37. https://www.kosgeb.gov.tr/site/tr/genel/destekler/
  38. https://www.win-eurasia.com/en/
  39. https://www.maktekfuari.com/
  40. https://automechanika-istanbul.tr.messefrankfurt.com/istanbul/en.html
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