Overview This page contains the latest trade data of Photo & movie goods. In 2020, Photo & movie goods were the world's 79th most traded product, with a total trade of $13.8B. Between 2019 and 2020 the exports of Photo & movie goods decreased by -10.9%, from $15.5B to $13.8B. Trade in Photo & movie goods represent 0.082% of total world trade.

Photo & movie goods include Photo & movie goods.

Exports In 2020 the top exporters of Photo & movie goods  were Japan ($4.74B), United States ($2.07B), Germany ($1.15B), South Korea ($1.08B), and China ($991M).

Imports In 2020 the top importers of Photo & movie goods were China ($2.85B), Chinese Taipei ($1.53B), United States ($1.33B), South Korea ($1.07B), and Germany ($694M).

Tariffs In 2018 the average tariff for Photo & movie goods was 7.75%, making it the 59th lowest tariff using the HS2 product classification.

Ranking Photo & movie goods ranks 1st in the Product Complexity Index (PCI).

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Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Photo & movie goods. Countries are shown based on data availability.

For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

* Using January 2020 exchange rates when trade data is reported in local currency.

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Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2020): Japan, $4.74B

Top Destination (2020): China, $2.85B

Photo & movie goods are the world's 79th most traded product.

In 2020, the top exporters of Photo & movie goods were Japan ($4.74B), United States ($2.07B), Germany ($1.15B), South Korea ($1.08B), and China ($991M).

In 2020, the top importers of Photo & movie goods were China ($2.85B), Chinese Taipei ($1.53B), United States ($1.33B), South Korea ($1.07B), and Germany ($694M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2019 -  2020): Israel, $41.7M

Top Destination Growth (2019 - 2020): China, $269M

Between 2019 and 2020, the exports of Photo & movie goods grew the fastest in Israel ($41.7M), Chinese Taipei ($39.1M), South Korea ($34.6M), Finland ($9.95M), and Poland ($8.52M).

Between 2019 and 2020, the fastest growing importers of Photo & movie goods were China ($269M), Chinese Taipei ($128M), South Korea ($105M), Israel ($50M), and Lithuania ($7.47M).

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Market Concentration

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Cumulative market share

Value

This chart shows the evolution of the market concentration of exports of Photo & movie goods.

In 2020,  market concentration measured using Shannon Entropy, was 3.33. This means that most of the exports of Photo & movie goods are explained by 10 countries.

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TOP NET EXPORTER (2020): Japan, $4.43B

TOP NET IMPORTER (2020): China, $1.85B

This map shows which countries export or import more of Photo & movie goods. Each country is colored based on the difference in exports and imports of Photo & movie goods during 2020.

In 2020, the countries that had a largest trade value in exports than in imports of Photo & movie goods were Japan ($4.43B), United States ($738M), Belgium ($560M), Germany ($452M), and Netherlands ($383M).

In 2020, the countries that had a largest trade value in imports than in exports of Photo & movie goods were China ($1.85B), Chinese Taipei ($880M), Israel ($277M), Singapore ($234M), and Hong Kong ($230M).

Disaggregation

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Value
Disaggregation

In 2020, the world most traded Photo & movie goods, disaggragated by their HS6 level were Photo & movie goods ($13.8B)

Country Comparison

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Flow
Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Photo & movie goods.
It is possible to select the main countries that export or import Photo & movie goods in the world, or by continent, as well as select the measure of interest.

Product Complexity

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Diversification Frontier

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Specialization

The Complexity-Relatedness diagram compares the risk and the strategic value of a product's potential export opportunities. Relatedness is predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth potential, lower income inequality, and lower emissions.