Machine Translation Market Size - By Technology (SMT, RBMT, NMT, HMT, EBMT), Deployment Model (On-premises, Cloud), Application (Automotive, BFSI, E-commerce, Electronics, Healthcare, IT & Telecommunications, Military & Defense) & Global Forecast, 2023 - 2032

Machine Translation Market Size - By Technology (SMT, RBMT, NMT, HMT, EBMT), Deployment Model (On-premises, Cloud), Application (Automotive, BFSI, E-commerce, Electronics, Healthcare, IT & Telecommunications, Military & Defense) & Global Forecast, 2023 - 2032

Machine Translation Market Size

Machine Translation Market size was valued at USD 982.2 million in 2022 and is estimated to register a CAGR of 22.8% between 2023 and 2032. The expansion of global businesses beyond their domestic markets has intensified the need for efficient communication across regions. The demand for connecting with various demographics is fueling the market growth.

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Companies seeking to expand in international markets must be able to convey their messages clearly & effectively to diverse audiences. Automated machine translation addresses this demand by enabling the rapid & consistent translation of marketing materials, product information, and customer communications. It helps companies establish a global presence, engage customers in their preferred languages, and drive international growth.

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The rising focus on improving customer experience is set to drive the machine translation market size. The key players across different sectors are emphasizing improving the user experience in terms of communication. For instance, in February 2022, Meta announced its plans to develop a universal speech translator to facilitate conversations between people speaking different languages. The company is also working on building AI models that can learn from languages based on examples. These models will enable the company to offer seamless communication across its social media platforms including Facebook, Instagram, and WhatsApp.

One of the fundamental challenges in machine translation include the preservation of the intended context and ensuring fluency in the translated content. Languages often have complex syntactic structures and multiple interpretations for words, phrases, or sentences based on their context. Machine translation systems may struggle to accurately determine the right context, leading to translations that lack coherence & fluency. This challenge becomes more prominent when dealing with idiomatic expressions, wordplay, cultural references, and documents with meanings that require deep comprehension.

COVID-19 Impact

During the COVID-19 pandemic, machine translation played a vital role in ensuring effective global communication. As travel restrictions and remote work became prevalent, businesses, healthcare institutions & governments relied on machine translations for quick & accurate information dispersal to populations speaking diverse languages. Automated translation facilitated the exchange of critical information, ranging from the sharing of public health guidelines to collaborating on research across borders, thereby bridging language barriers and fostering international cooperation. The COVID-19 pandemic impacted the machine translation industry in a positive manner and augmented its growth in the post-pandemic period.

Machine Translation Market Trends

Creating content that resonates with a wide range of cultures & languages is crucial for brand recognition and engagement. Businesses, content creators, and media organizations produce vast amounts of digital content daily. Machine translation allows these organizations to quickly translate articles, videos, and social media posts, thereby reaching broader audiences. This rapid translation process optimizes content creation workflows and enhances content accessibility for people across the globe, thus propelling market demand.

Machine Translation Market Analysis

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The on-premises segment recorded 52% of the machine translation market share in 2022. The collaborative efforts aimed at improving machine translations are driving the adoption of the on-premises deployment model.

For instance, in July 2023, Custom.MT, a platform for machine translation, and Smartling, an enterprise translation company that leverages AI, entered a collaborative technology integration initiative. This partnership allows mutual clients to expand their use of top-tier machine translation engines, enhancing the overall caliber of their translated content. As collaborative advancements continue to enhance the accuracy & efficiency of machine translations, the on-premises deployment model will gain traction for its tailored & secure solutions.

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The healthcare segment accounted for 20% of the machine translation market share in 2022. Numerous healthcare facilities are introducing machine translation services to eliminate the language barrier faced by patients hailing from diverse ethnic backgrounds. For instance, in June 2023, the Texas Heart Institute launched a fresh translation technology on its websites. This innovation facilitates interactions in over 100 languages with the institute’s digital assets.

This AI service has been implemented on both texasheart.org and texasheartmedical.org through the use of a neural machine translation network. It translates heart-health information into diverse languages including Spanish, Vietnamese, Chinese, and Arabic. As this translation technology continues to cater to the healthcare sector, the market is slated to witness growth over the forecast timeline.

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North America machine translation market held over 38% of the revenue share in 2022. The North American business environment is characterized by its diversity with companies often interacting with partners, customers, and clients who speak various languages. In this context, efficient cross-lingual communication is crucial for maintaining successful international relationships. Machine translation allows companies to swiftly translate contracts, emails, and reports, thereby facilitating smooth communication & collaboration across linguistic barriers. This capability is essential for thriving in the region's interconnected & multicultural business landscape.

Machine Translation Market Share

Major companies operating in the machine translation market are

• AWS
• Google LLC
• IBM Corporation
• Microsoft Corporation
• Systran International
• Lionbridge Technologies, Inc
• Welocalize Inc.

The competitive landscape of the market is characterized by a diverse range of vendors offering solutions pertaining to network optimization, performance management, and real-time analytics.

Machine Translation Industry News

• In August 2023, Meta launched its latest technological innovation, the SeamlessM4T AI model. This cutting-edge tool is poised to revolutionize the realm of multilingual translation & transcription, offering the potential to reshape cross-language communications with its impeccable translation & transcription services.

The machine translation market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Million) from 2018 to 2032, for the following segments

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Market, By Technology

• Statistical Machine Translation
• Rule-based Machine Translation
• Neural Machine Translation
• Hybrid Machine Translation
• Example-based Machine Translation

Market, By Deployment Model

• On-premises
• Cloud

Market, By Application

• Automotive
• BFSI
• E-commerce
• Electronics
• Healthcare
• IT & Telecommunications
• Military & Defense
• Others

The above information has been provided for the following regions and countries

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Nordics
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • ANZ
  • Singapore
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • UAE
  • Saudi Arabia
  • South Africa

Frequently Asked Questions (FAQ)

What is the size of the machine translation market?

The market size of machine translation reached USD 982.2 million in 2022 and is set to expand at a CAGR of 22.8% between 2023 and 2032, backed by the demand for connecting with various demographics.

How will healthcare applications contribute to machine translation industry growth?

The healthcare segment held a dominant market share of 20% in 2022. Numerous healthcare facilities are introducing machine translation services to eliminate the language barrier faced by patients hailing from diverse ethnic backgrounds.

Why is North America emerging as a lucrative growth avenue for machine translation market players?

North America market with a major share of over 38% in 2022, owing to the presence of diverse companies often interacting with partners, customers, and clients who speak various languages.

Who are the key players in machine translation landscape?

AWS, Google LLC, IBM Corporation, Microsoft Corporation, Systran International, Lionbridge Technologies, Inc, and Welocalize Inc.