Machine Translation Market 2024-2032: Innovations & Growth Outlook

Deepesh Srivastava - Aug 28 - - Dev Community

IMARC Group’s latest report, titled “Machine Translation Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032”, the global machine translation market size reached US$ 199.2 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 474.8 Million by 2032, exhibiting a growth rate (CAGR) of 9.8% during 2024-2032.

Machine Translation Market Trends:

Machine translation is the automated process of translating text or speech from one language to another using computer algorithms. It is manufactured through the development of sophisticated software programs that utilize techniques from artificial intelligence, computational linguistics, and natural language processing. Types of machine translation systems include rule-based systems, statistical machine translation (SMT), and neural machine translation (NMT), with NMT being the most advanced.

The importance of machine translation lies in its ability to facilitate communication and understanding across language barriers, promoting global connectivity and collaboration. The benefits of machine translation include increased efficiency in translation processes, cost-effectiveness, and accessibility to information in multiple languages.

Leading Key Players Operating in the Machine Translation Industry:

  • Applications Technology Inc
  • Asia Online Pte Ltd
  • Cloudwords Inc
  • International Business Machines Corporation
  • Lionbridge Technologies Inc
  • Pangeanic
  • Raytheon Technologies Corporation
  • SDL Plc (RWS Holdings Plc)
  • Smart Communications Inc. (PLDT Inc.)
  • Systran 
  • Welocalize Inc

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Machine Translation Market Growth Analysis:

The global market is primarily driven by the increasing demand for multilingual content localization to reach global audiences. Additionally, the rapid globalization of businesses and expansion into new markets are driving the need for cost-effective and scalable language translation solutions is impelling market growth. Moreover, continual advancements in artificial intelligence and neural machine translation technologies are enhancing the accuracy and fluency of translated content, further driving market growth.

Furthermore, the rising trend of remote work and virtual collaboration is amplifying the demand for real-time translation services to facilitate seamless communication among distributed teams and is propelling market growth. In line with this, the growing emergence of specialized machine translation solutions tailored to specific industries, such as legal, medical, and technical translation, is addressing the unique linguistic challenges and domain-specific terminology requirements faced by organizations in these sectors is expanding the market growth.

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Key Market Segmentation:

Breakup by Technology Type:

  • Statistical Machine Translation (SMT)
  • Rule-Based Machine Translation (RBMT)
  • Neural Machine Translation
  • Others 

Breakup by Deployment Type:

  • On-Premises
  • Cloud-Based 

Breakup by Application:

  • BFSI
  • Automotive
  • Electronics
  • Healthcare
  • IT and Telecommunications
  • Military and Defense
  • Others

Breakup by Region:

  • North America (United States, Canada)
  • Asia Pacific (China, Japan, India, Australia, Indonesia, Korea, Others)
  • Europe (Germany, France, United Kingdom, Italy, Spain, Others)
  • Latin America (Brazil, Mexico, Others)
  • Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, Other)

Key Highlights of the Report: 

  • Market Performance (2018-2023)
  • Market Outlook (2024-2032)
  • Porter’s Five Forces Analysis
  • Market Drivers and Success Factors
  • SWOT Analysis
  • Value Chain
  • Comprehensive Mapping of the Competitive Landscape 

 

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