Research on Production Trends in Food Industry Segment 2008-2022

Research on Production Trends 4 Food Beverage IndustrySegments 2008-2022 (Labor Data and Readiness for Adoption of Industrial Revolution 4.0) released as of April 2019 featuring independent research,comprehensive data, analysis, market trends, and outlook regarding the growth trend of production trends in four food industry segments and beverages (vegetable and fruit processing industry, cocoa processing industry, coffee processing industry, and tea processing industry). In the discussion, also displayed the development trend of the number of workers in the 4 segments of the food and beverage industry and readiness to adopt the industrial revolution 4.0.

This research began by displaying Indonesia's economic highlights that showed a positive trend, supported by the rise of middle-class consumers. (pages 2 & 3) Followed by exposure to data on a number of macroeconomic indicators such as trends in national economic growth, inflation, poverty rates that continue to decline, the ratio of this economy, and the percentage of unemployed who also continue to decline. (pages 2 to 4).

Entering the main discussion, the research focus is on production trends in volume, production value, and GDP value from the production approach of the four segments of the food and beverage industry (vegetable and fruit processing industry, cocoa processing industry, coffee processing industry, and tea processing industry). Periodization is displayed between 2008 and 2018, as well as projections from 2019 to 2022.

On pages 6 to 11, the discussion focused on the vegetable and fruit processing industry. On pages 12 to 17, the discussion focused on the cocoa and chocolate processing industry.

On pages 18 to 23, the discussion focused on the coffee processing industry. On pages 24 to 30, the discussion focused on the tea processing industry.

Continuing to the next discussion, on pages 31 to 37 there are data on the number of workers from the four food and beverage industry segments (vegetable and fruit processing industry, cocoa processing industry, coffee processing industry, and tea processing industry). The data is also strengthened by the division of workforce segmentation based on sex and based on education (elementary, middle, high school, undergraduate). The period displayed between 2008 and 2017.

Then turning to the next focus, on pages 38 to 55 a discussion was presented on the challenges and opportunities of the food and beverage industry in general and the readiness of the food and beverage industry to adopt the 4.0 industrial revolution. As is known, the industrial revolution 4.0 which carries automation and digitalization such as advance robotic, artificial intelligence, big data, cloud, internet of things (iot) has caused fundamental changes to industrialization globally.

In this last discussion, the current conditions of the food and beverage industry were presented in order to adopt new technology in the 4.0 industrial revolution. A number of constraints such as there are still many production units in the factory operating manually and other challenges discussed in detail in this section. Also presented are several challenges and needs from a number of market leaders in the food and beverage industry.

Research on Production Trends 4 in the Beverage FoodIndustry Segment 2008-2022 (Labor Data and Industrial Revolution AdoptionReadiness 4.0) consist 56 pages and measuring 5.42 MB came from specific research from the duniaindustri.com team with support from data from BPS, Ministry of Industry (Ministry of Industry), industry associations, government agencies, and a number of companies both in Indonesia and the world. Industry data index is the newest feature in duniaindustri.com which displays dozens of selected data according to users' needs. All data is presented in pdf format so that it is easily downloaded after users carry out the process according to the procedure, namely click buy (click), click checkout, and fill in the form. Duniaindustri.com prioritizes the validity and validity of the data sources presented.(*)

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