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China, Exports to, Qatar, Wood Processing Equipment, 1000 EUR, Export Market Share % (M)

Data Summary: China, Exports to, Qatar, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Export Market Share % (M)

Time series data for China, Exports to, Qatar, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Export Market Share % (M)
Time Period Value Data Range
2016-M-07 1,56 2013-M-01 - 2027-M-07
2016-M-08 2,70 2013-M-01 - 2027-M-07
2016-M-09 16,81 2013-M-01 - 2027-M-07
2016-M-10 2,98 2013-M-01 - 2027-M-07
2016-M-11 9,72 2013-M-01 - 2027-M-07
2016-M-12 15,56 2013-M-01 - 2027-M-07
2017-M-01 68,29 2013-M-01 - 2027-M-07
2017-M-02 1,81 2013-M-01 - 2027-M-07
2017-M-03 3,66 2013-M-01 - 2027-M-07
2017-M-04 0,49 2013-M-01 - 2027-M-07
2017-M-05 7,55 2013-M-01 - 2027-M-07
2017-M-06 9,86 2013-M-01 - 2027-M-07
2017-M-07 15,99 2013-M-01 - 2027-M-07
2017-M-08 15,15 2013-M-01 - 2027-M-07
2017-M-09 18,16 2013-M-01 - 2027-M-07
2017-M-10 1,08 2013-M-01 - 2027-M-07
2017-M-11 5,22 2013-M-01 - 2027-M-07
2017-M-12 1,20 2013-M-01 - 2027-M-07
2018-M-01 1,83 2013-M-01 - 2027-M-07
2018-M-02 1,52 2013-M-01 - 2027-M-07
2018-M-03 15,44 2013-M-01 - 2027-M-07
2018-M-04 9,15 2013-M-01 - 2027-M-07
2018-M-05 10,48 2013-M-01 - 2027-M-07
2018-M-06 9,99 2013-M-01 - 2027-M-07
2018-M-07 6,69 2013-M-01 - 2027-M-07
2018-M-08 28,57 2013-M-01 - 2027-M-07
2018-M-09 6,94 2013-M-01 - 2027-M-07
2018-M-10 17,73 2013-M-01 - 2027-M-07
2018-M-11 27,42 2013-M-01 - 2027-M-07
2018-M-12 7,20 2013-M-01 - 2027-M-07
2019-M-01 61,49 2013-M-01 - 2027-M-07
2019-M-02 13,59 2013-M-01 - 2027-M-07
2019-M-03 20,93 2013-M-01 - 2027-M-07
2019-M-04 17,59 2013-M-01 - 2027-M-07
2019-M-05 46,00 2013-M-01 - 2027-M-07
2019-M-06 38,79 2013-M-01 - 2027-M-07
2019-M-07 4,48 2013-M-01 - 2027-M-07
2019-M-08 7,31 2013-M-01 - 2027-M-07
2019-M-09 23,74 2013-M-01 - 2027-M-07
2019-M-10 8,10 2013-M-01 - 2027-M-07
2019-M-11 19,40 2013-M-01 - 2027-M-07
2019-M-12 15,82 2013-M-01 - 2027-M-07
2020-M-01 28,69 2013-M-01 - 2027-M-07
2020-M-02 39,70 2013-M-01 - 2027-M-07
2020-M-03 6,90 2013-M-01 - 2027-M-07
2020-M-04 15,91 2013-M-01 - 2027-M-07
2020-M-05 71,53 2013-M-01 - 2027-M-07
2020-M-06 35,11 2013-M-01 - 2027-M-07
2020-M-07 52,52 2013-M-01 - 2027-M-07
2020-M-08 12,19 2013-M-01 - 2027-M-07
2020-M-09 48,21 2013-M-01 - 2027-M-07
2020-M-10 24,99 2013-M-01 - 2027-M-07
2020-M-11 6,92 2013-M-01 - 2027-M-07
2020-M-12 64,61 2013-M-01 - 2027-M-07
2021-M-01 25,94 2013-M-01 - 2027-M-07
2021-M-02 47,47 2013-M-01 - 2027-M-07
2021-M-03 22,13 2013-M-01 - 2027-M-07
2021-M-04 66,15 2013-M-01 - 2027-M-07
2021-M-05 20,41 2013-M-01 - 2027-M-07
2021-M-06 28,79 2013-M-01 - 2027-M-07
2021-M-07 43,62 2013-M-01 - 2027-M-07
2021-M-08 38,21 2013-M-01 - 2027-M-07
2021-M-09 30,49 2013-M-01 - 2027-M-07
2021-M-10 19,66 2013-M-01 - 2027-M-07
2021-M-11 22,39 2013-M-01 - 2027-M-07
2021-M-12 14,27 2013-M-01 - 2027-M-07
2022-M-01 80,14 2013-M-01 - 2027-M-07
2022-M-02 12,68 2013-M-01 - 2027-M-07
2022-M-03 38,01 2013-M-01 - 2027-M-07
2022-M-04 8,16 2013-M-01 - 2027-M-07
2022-M-05 48,47 2013-M-01 - 2027-M-07
2022-M-06 21,46 2013-M-01 - 2027-M-07
2022-M-07 19,51 2013-M-01 - 2027-M-07
2022-M-08 16,23 2013-M-01 - 2027-M-07
2022-M-09 39,81 2013-M-01 - 2027-M-07
2022-M-10 64,58 2013-M-01 - 2027-M-07
2022-M-11 58,39 2013-M-01 - 2027-M-07
2022-M-12 45,85 2013-M-01 - 2027-M-07
2023-M-01 32,60 2013-M-01 - 2027-M-07
2023-M-02 49,26 2013-M-01 - 2027-M-07
2023-M-03 14,14 2013-M-01 - 2027-M-07
2023-M-04 42,21 2013-M-01 - 2027-M-07
2023-M-05 43,37 2013-M-01 - 2027-M-07
2023-M-06 38,91 2013-M-01 - 2027-M-07
2023-M-07 16,68 2013-M-01 - 2027-M-07
2023-M-08 35,83 2013-M-01 - 2027-M-07
2023-M-09 32,05 2013-M-01 - 2027-M-07
2023-M-10 25,58 2013-M-01 - 2027-M-07
2023-M-11 10,90 2013-M-01 - 2027-M-07
2023-M-12 37,28 2013-M-01 - 2027-M-07
2024-M-01 66,51 2013-M-01 - 2027-M-07
2024-M-02 56,69 2013-M-01 - 2027-M-07
2024-M-03 65,61 2013-M-01 - 2027-M-07
2024-M-04 71,09 2013-M-01 - 2027-M-07
2024-M-05 40,42 2013-M-01 - 2027-M-07
2024-M-06 39,19 2013-M-01 - 2027-M-07
2024-M-07 60,64 2013-M-01 - 2027-M-07
2024-M-08 42,30 2013-M-01 - 2027-M-07
2024-M-09 59,23 2013-M-01 - 2027-M-07
2024-M-10 54,40 2013-M-01 - 2027-M-07
2024-M-11 69,52 2013-M-01 - 2027-M-07
2024-M-12 50,06 2013-M-01 - 2027-M-07
2025-M-01 87,91 2013-M-01 - 2027-M-07
2025-M-02 80,94 2013-M-01 - 2027-M-07
2025-M-03 42,42 2013-M-01 - 2027-M-07
2025-M-04 53,82 2013-M-01 - 2027-M-07
2025-M-05 43,21 2013-M-01 - 2027-M-07
2025-M-06 95,72 2013-M-01 - 2027-M-07
2025-M-07 60,43 2013-M-01 - 2027-M-07
2025-M-08 45,35 2013-M-01 - 2027-M-07
2025-M-09 43,75 2013-M-01 - 2027-M-07
2025-M-10 59,03 2013-M-01 - 2027-M-07
2025-M-11 48,56 2013-M-01 - 2027-M-07
2025-M-12 42,48 2013-M-01 - 2027-M-07
2026-M-01 93,38 2013-M-01 - 2027-M-07
2026-M-02 61,96 2013-M-01 - 2027-M-07
2026-M-03 64,80 2013-M-01 - 2027-M-07
2026-M-04 49,10 2013-M-01 - 2027-M-07
2026-M-05 31,20 2013-M-01 - 2027-M-07
2026-M-06 67,77 2013-M-01 - 2027-M-07
2026-M-07 63,31 2013-M-01 - 2027-M-07

This dataset contains 121 data points spanning from 2016-M-07 to 2026-M-07.

Analysis dimensions: Selected Competitor, Trade Flow, Market, Product, Unit, Analysis.

Statistical summary: Minimum value 0.49, Maximum value 95.72, Average value 33.45.

The chart above illustrates a time series model generated by the Innomis Market Management Intelligence® platform.
It represents one of many analytic models and visualization options available in One Space®.

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Metadata
Solution
Global Export Performance Intelligence
Selected Competitor
China
Trade Flow
Exports to
Market
Qatar
Product
Wood Processing Equipment
Unit
1000 EUR
Analysis
Export Market Share % (M)
TIME (Displayed)
2016-M-07 - 2026-M-07
TIME (Available)
2013-M-01 - 2027-M-07

Data Insights and Analysis

This comprehensive dataset spans 121 time periods from 2016-M-07 to 2026-M-07. The analysis reveals values ranging from 0.49 to 95.72, with an average value of 33.45.

The data shows an overall upward trend with a total change of 61.75 (3,959.8% increase) over the analyzed period.

Key analytical dimensions include: China, Exports to, Qatar, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Export Market Share % (M). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.