市場調查報告書
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全球機器翻譯市場規模、佔有率、成長分析(按技術、應用、機器翻譯系統類型)- 2024-2031年產業預測Global Machine Translation Market Size, Share, Growth Analysis, By Technology, By Application, By Type of MT System - Industry Forecast 2024-2031 |
2022年全球機器翻譯(MT)市場規模將為9.8053億美元,預測期間(2024-2031年)年複合成長率為5.52%,從2023年的9.5868億美元到2031年預計成長至1,473.5美元到2020年將達到100 萬。
近年來,全球機器翻譯(MT)市場經歷了持續成長,這主要得益於神經機器翻譯(NMT)技術的進步。這項進步可以實現更準確、更適合上下文的翻譯。然而,挑戰仍然存在,包括特定領域的流暢性和隱私問題。然而,市場是動態的,有各種的參與企業,從成熟的服務供應商到新興企業。雖然北美受益於強大的技術基礎設施而享有主導地位,但亞太地區已成為關鍵成長地區。該成長是由數位轉型和電子商務市場擴張所推動的。主要市場趨勢包括人工智慧的整合、即時翻譯功能以及對促進跨境通訊的解決方案的需求顯著增加。
Global Machine Translation (MT) Market size was valued at USD 980.53 Million in 2022 and is poised to grow from USD 958.68 Million in 2023 to USD 1473.50 Million by 2031, at a CAGR of 5.52% during the forecast period (2024-2031).
In recent times, the global machine translation (MT) market has seen consistent growth, largely attributed to advancements in neural machine translation (NMT) technology. This progress has led to more precise and contextually appropriate translations. However, challenges remain, such as domain-specific fluency and concerns regarding privacy. Nonetheless, the market presents a dynamic landscape with a variety of participants, ranging from established service providers to emerging start-ups. North America holds a dominant position, benefiting from strong technological infrastructure, while the Asia-Pacific region is emerging as a significant growth area. This growth is fuelled by digital transformation and the expansion of e-commerce markets. Key trends in the market include the integration of AI, real-time translation capabilities, and a notable increase in demand for solutions facilitating cross-border communication.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Machine Translation (MT) and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to get the final quantitative and qualitative data.
Global Machine Translation (MT) Market Segmental Analysis
The global machine translation (MT) market is segmented into four major segments i.e. by technology, application, type, and region. Based on technology, it is divided into statistical machine translation (smt), neural machine translation (NMT), and other innovative formats. Based on application, it is bifurcated as automotive, healthcare, e-commerce, legal, IT & telecommunications. Based on the type, it is segregated into, rule-based machine translation (rbmt), example-based machine translation (ebmt), and others. Based on region, the market is segmented into North America, Latin America, Asia Pacific, Europe, and MEA.
Drivers of the Global Machine Translation (MT) Market
The progress in Neural Machine Translation (NMT) technology is a key driver, providing improved translation accuracy and better contextual comprehension. Another important factor is the rising requirement for multilingual content across various sectors like e-commerce, healthcare, and IT, which is fueling the adoption of MT solutions. Additionally, the growing necessity for instant translations, particularly in the age of globalized communication, is further propelling the market's growth.
Restraints in the Global Machine Translation (MT) Market
A primary challenge in the market is the potential difficulty in achieving high fluency, especially in specialized domains or industries with intricate terminologies. Additionally, privacy concerns pose another constraint, particularly when dealing with sensitive data. This raises issues regarding the security and ethical utilization of machine translation technologies.
Market Trends of the Global Machine Translation (MT) Market
The significant increase in the use of Artificial Intelligence (AI) technologies, specifically neural networks, is boosting translation accuracy and contextual comprehension. There is a growing emphasis on real-time translation capabilities, spurred by the rising demand for immediate cross-border communication.