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市場調查報告書
商品編碼
1372037
2030 年生物機械市場預測:按類型、電機類型、用途和地區分類的全球分析Biological Machines Market Forecasts to 2030 - Global Analysis By Type (Myosin, Dynein, Kinesin, Ribosomes and Other Types), Motor Type, Application and By Geography |
根據Stratistics MRC的數據,2023年全球生物機械市場規模為46億美元,預計在預測期內將以38.4%的年複合成長率成長,到2030年達到453億美元。
生物機器,也稱為生物機器,是一種複雜的系統和小工具,其設計靈感來自於生物元素,例如細胞、蛋白質和遺傳物質。他們的目的是執行特定的工作或職能。這些設備通常旨在複製或利用生物體的能力,用於各種工業、科學和醫療用途。這些設備有能力改變許多領域並提高我們的生物學和技術知識。
創造出能夠與現有生物功能順利工作的生物設備是可能的。它利用有機生物過程的精確性和有效性。透過專注於人體內的特定細胞和組織,它們可用於更精確地給藥或更精確地執行業務。結合生物和合成成分可以創建具有改進或新功能的混合設備。這些可以是比全合成替代更有效的生物感測器、生物致動器和生物燃料電池。這些都是市場拓展的動力。
生物系統本質上是複雜且多變的。生物機器的行為很難預測和控制,因為它取決於多種變量,包括遺傳、環境和細胞反應。此外,生物結構要素會隨著時間的劣化,並且壽命有限。與傳統機械系統相比,這限制了生物機器的長期效用和可靠性,從而限制了其市場擴張。
與傳統的工業方法相比,生物系統通常產生較少的廢棄物和危險產品,並且更環保。這些生物機器通常使用細菌、酵母和藻類等活生物體來生產各種產品,包括藥品、生物燃料和化學物質。它們能夠非常有效地將原料轉化為所需的產品,因此產生的廢棄物更少。這可能會降低廢棄物成本並實現更清潔的生產方法。這些都是影響市場拓展的因素。
生物機器在遏制和安全方面是危險的。基因改造生物可能會被意外釋放,並可能對生態系統產生意想不到的影響。此外,這些設備可能不會總是像預期的那樣節能。生物系統在細胞層面本質上是節能的,但當整合到機器中時,維護和管理這些組件所需的能量可能會很大。這些都是阻礙市場進一步擴大的因素。
自從新冠肺炎 (COVID-19) 疫情以來,物流業制定了嚴格的規定,貿易路線也被切斷。產品從一地到另一地的運輸受到供應鏈和物流部門法規的阻礙。然而,由於疫情期間的旅行禁令和邊境關閉消除了進口,當地蜂蜜酒銷量增加。此外,由於酒吧和餐廳長時間關閉,顧客被迫改變飲酒習慣。罐裝葡萄酒等流行飲料預計將延續這一趨勢。
在預測期內,肌球蛋白部分預計將是最大的。一種稱為肌球蛋白的蛋白質對於許多生物功能至關重要,包括肌肉收縮。用於描述肌球蛋白驅動的分子馬達的術語「生物機器」具有多種優點。它透過利用化學能 (ATP) 來產生機械力和運動,充當分子引擎。當我們沿著肌動蛋白絲「行走」時,它們會相互靠近,引起肌肉收縮和許多其他細胞功能。
機器學習領域預計在預測期內年複合成長率最高。混合系統通常稱為生物機器,在使用機器學習時具有各種優勢。這些系統將感測器和控制設備等人工元件與細胞和生物體等生物元件混合在一起,以提供靈活且適應性強的系統。由於演算法能夠適應不斷變化的環境條件和需求,這些系統可以動態地回應各種刺激。
預計北美在預測期內將佔據最大的市場佔有率。該地區是多家生物技術公司的所在地,這些公司致力於製造用於各種用途的生物機器,包括基因工程、細胞治療和藥物研發。該地區的大學和研究機構在生物機械相關領域進行前沿研究。為了發展這一領域,他們經常與商業夥伴和政府機構合作。
在預測期內,亞太地區的年複合成長率最高。該地區國家的合成生物學研究十分活躍。該領域為各種用途設計和建造生物系統、設備和零件,包括生物燃料生產、製藥和環境清理。醫療用生物設備的開發是一項全球性的配合措施。這包括組織工程、人造器官的生產以及醫療設備生物活性材料的生產。
According to Stratistics MRC, the Global Biological Machines Market is accounted for $4.6 billion in 2023 and is expected to reach $45.3 billion by 2030 growing at a CAGR of 38.4% during the forecast period. Biological machines, also known bio-machines, are sophisticated systems or gadgets that get their design inspiration from or are made of biological elements like cells, proteins, or genetic material. They are intended to carry out certain jobs or functions. These devices are often designed to replicate or use the capacities of living things for a variety of uses, including as industrial, scientific, and medical ones. These devices have the power to transform a number of sectors and advance our knowledge of biology and technology.
It is possible to create biological devices that smoothly work with current biological functions. They utilize the accuracy and effectiveness of organic biological processes. They are used to administer medications or carry out duties more precisely by focusing on certain cells or tissues in the human body. Biological and synthetic components can be combined to create hybrid devices with improved or novel functionality. These could be more effective biosensors, bio actuators, or biofuel cells than completely synthetic substitutes. These are the elements driving the market's expansion.
Biological systems are naturally complicated and changeable. The behavior of biological machines can be difficult to anticipate and control since it depends on a wide range of variables, such as genetics, environment, and cellular reactions. Furthermore, biological components might deteriorate over time and have a finite lifetime. This restricts biological machines' long-term usefulness and dependability in comparison to conventional mechanical systems, which is limiting market expansion.
When compared to conventional industrial methods, biological systems often generate less waste and hazardous byproducts, making them more ecologically friendly. In order to create a variety of goods, including medicines, biofuels, chemicals, and more, these biological machines frequently employ living organisms like bacteria, yeast, or algae. They generate less waste since they are very effective at turning raw materials into the intended product. This may result in lower waste disposal costs and cleaner production methods. This is the element impacting the market's expansion.
Biological machinery is dangerous in terms of containment and safety. There is a chance that genetically modified organisms will be accidentally released, which might have unforeseen ecological effects. Additionally, it's possible that these devices aren't always as energy-efficient as intended. Although biological systems are naturally energy-efficient at the cellular level, the energy needs for maintaining and managing these components when they are incorporated into machines can be substantial. These are the elements preventing further market expansion.
Following COVID-19, strict rules were put in place for logistics, and trade channels were shut down. Transporting products from one location to another was hampered by regulations on the supply chain and logistics sector. Sales of local mead, however, increased as a result of the absence of imported goods brought on by travel bans and border closures during the epidemic. Additionally, because pubs and restaurants were closed for extended periods of time, customers were compelled to change their drinking habits. This trend is anticipated to continue because popular drinks like canned wine.
The myosin segment is expected to be the largest during the forecast period. A protein called myosin is essential for many biological functions, including muscle contraction. The term "biological machines" used to describe the myosin-driven molecular motors has multiple benefits. By utilizing chemical energy (ATP) to produce mechanical power and movement, it functions as a molecular motor. Actin filaments move past one another as it "walks" along them, triggering muscle contraction and a number of other cellular functions.
The machine learning segment is expected to have the highest CAGR during the forecast period. Biohybrid systems, commonly referred to as biological machines, provide various benefits when using machine learning. These systems mix artificial elements like sensors or controls with biological elements like cells or organisms to provide flexible and adaptable systems. These systems react dynamically to a variety of stimuli thanks to these algorithms' ability to adapt to changing environmental circumstances or needs.
North America is projected to hold the largest market share during the forecast period. There are several biotechnology businesses in this region that strive to create biological machines for a range of uses, including genetic engineering, cell therapy, and drug discovery. The region's universities and research facilities carry out cutting-edge studies in fields relating to biological machines. To progress the field, they frequently work together with business partners and governmental organizations.
Asia Pacific is projected to hold the highest CAGR over the forecast period. Synthetic biology research has been active throughout the region's nations. In this discipline, biological systems, devices, and components are designed and built for a variety of uses, including the generation of biofuel, medicines, and environmental cleanup. The creation of biological devices for use in medicine is a worldwide endeavor. This covers tissue engineering, the production of artificial organs, and the creation of bioactive materials for medical equipment.
Some of the key players in Biological Machines market include: Ginkgo Bioworks, Zymergen, Synthace, Codexis, Twist Bioscience, Evonetix, Arzeda, Synthorx, Amyris, Novozymes, Desktop Genetics, Synlogic and Molecular Machines & Industries.
In November 2022, Novozymes, the world leader in biological solutions, and LinusBio (Linus Biotechnology Inc.), a leader in precision exposome sequencing, announced the companies are forming a collaboration to test a new, non-invasive technology in a clinical trial.
In October 2022, Ginkgo Bioworks and Zymergen announced that Ginkgo has completed its previously announced acquisition of Zymergen. The acquisition is expected to significantly enhance Ginkgo's platform by integrating strong automation and software capabilities as well as a wealth of experience across diverse biological engineering approaches.