Market Trends of Melt Blown Polypropylene Filters Industry
This section covers the major market trends shaping the Melt Blown Polypropylene Filters Market according to our research experts:
Water & Wastewater to Drive the Melt Blown Polypropylene Filters Market
- Extensive application of melt blown polypropylene filters in the water and wastewater sector is expected to be the key driving factor because of the growing health concerns related to the drinking of tainted water.
- Another factor that underpins the development of the global melt-blown polypropylene filters market is the rising interest for water desalination projects so as to change over seawater into drinkable water.
- The global industrial wastewater treatment market size is expected to grow from USD 11.4 billion in 2019 to USD 15 billion by 2024.
- About 75.8 million people in India don't have access to a safe water source. To cater to the basic need for clean and safe drinking water many non-profit organizations are working incessantly with help from the government. Water Aid India is one such organization.
- All the aforementioned factors are expected to drive the melt blown polypropylene filters market during the forecast period.
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Asia-Pacific Region to Dominate Melt Blown Polypropylene Filters Market
- Asia-Pacific region holds a prominent share in the melt blown polypropylene filters market globally and is expected to dominate the market during the forecast timeline.
- The revenue from the food & beverage segment of the region is predicted to amount to USD 44 billion by 2020 end and reach USD 63.46 billion by 2024 with an annual growth rate of 9.5%.
- In 2019, China's food & beverage market volume was the largest in the region as well as globally amounting to USD 26.7 billion. It is expected to reach a market value of USD 38.7 billion by 2024.
- Furthermore, the total revenue of the bottled water segment is estimated to be USD 103 billion by 2020 in the region.
- Thus, rising demand from various industries is expected to drive the market studied in the region during the forecast timeframe.
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