The fish deboner machine is a specialized device utilized primarily for efficiently extracting fish flesh, employing a stainless steel rotary drum featuring strategically placed screening holes. Through the meticulous extraction process facilitated by these screening holes, the fish deboner effectively separates the flesh from the fishbone, significantly reducing labor and time requirements. Available in a range of models, the fish meat bone separator caters not only to large-scale production facilities but also to home users seeking convenience and efficiency in fish processing tasks.
The global demand for fish deboning machines market is projected to experience steady growth, with a compound annual growth rate (CAGR) of 3.9%. By 2023, the market revenue is estimated to reach US$ 274 million, and it is expected to witness significant expansion, reaching a revenue of US$ 415 million by 2033.
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Market Players innovate tech to reduce labor
Recent Developments
In a significant development, in December 2019, the governments of India and Maldives inked three Memorandums of Understanding (MoU) to establish Neighbourhood Fish Processing Plants in Addu City. These collaborative efforts mark the inception of a series of High Impact Community Development (HICDP) projects aimed at bolstering the fisheries sector in the region.
Furthermore, demonstrating its commitment to enhancing the fishery sector, the Indian government, in July 2019, unveiled a pioneering scheme designed to foster processing capabilities within the industry. Under this scheme, Indian Finance Minister Nirmala Sitharaman allocated an estimated Rs 3,737 crore for the Ministry of Fisheries, Animal Husbandry, and Dairying. The scheme addresses various deficiencies in the fishery value chain, including infrastructure, modernization, traceability, production, productivity, post-harvest management, and quality control. This strategic initiative underscores the government’s proactive approach towards revitalizing the fishery sector and promoting sustainable growth across the value chain.
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