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
Published Date: April - 2025 | Publisher: MRA | No of Pages: 240 | Industry: Media and IT | Format: Report available in PDF / Excel Format
View Details Buy Now 2890 Download Sample Ask for Discount Request CustomizationMachine Translation Market Size
Machine Translation Market valued at USD 982.2 million in 2022 and is estimated to grow at a CAGR of 22.8% from 2023 to 2032. Global businesses expanding beyond their home markets have increased the requirement for effective communication across geographies. The need to reach different populations is driving the market growth.
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Businesses that want to grow in global markets need to effectively communicate their messages to different groups of people. Machine translation needs of the demand by allowing rapid & uniform translation of marketing collateral, product details, and customer communications. Automated machine translation facilitates businesses to go global, talk to their customers in their own languages, and fuel global growth.
| Report Attribute | Details |
|---|---|
| Base Year | 2022 |
| Machine Translation Market Size in 2022 | USD 982.2 Million |
| Forecast Period | 2023 to 2032 |
| Forecast Period 2023 to 2032 CAGR | 22.8% |
| 2032 Value Projection | USD 7.57 Billion |
| Historical Data for | 2018 – 2022 |
| No. of Pages | 250 |
| Tables, Charts & Figures | 278 |
| Segments covered | Technology, Deployment Model, Application |
| Growth Drivers |
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| Pitfalls & Challenges |
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What are the growth opportunities in this market?
The increased emphasis on customer experience is expected to fuel the machine translation market size. All major players across industries are focusing on enhancing the user experience of communication. For example, in February 2022, Meta declared its intentions to create a universal speech translator for people to converse with each other despite speaking different languages. The company is also in the process of developing AI models that are capable of learning from example-based languages. These models will allow the company to provide fluent communication on its social media platforms like Facebook, Instagram, and WhatsApp.
Among the basic challenges in machine translation are the maintenance of intended context and fluency in the translated text. 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
Machine translation was crucial in facilitating effective communication across the globe during the COVID-19 pandemic. During times when travel was restricted and remote work was common, companies, health institutions & governments took recourse to machine translations for fast & correct information dissemination to populations with various languages. Automated translation helped in the exchange of valuable information, from sharing public health advice to joint research across borders, thus overcoming language barriers and enhancing global cooperation. The COVID-19 pandemic influenced the machine translation industry positively and supplemented its growth in the post-pandemic era.
Machine Translation Market Trends
Developing content that appeals to a broad spectrum of cultures & languages is important for brand awareness and engagement. Companies, content producers, and media companies create enormous amounts of digital content every day. Machine translation enables these companies to rapidly translate articles, videos, and social media updates, thus expanding audiences. The fast translation process streamlines content creation processes and improves content accessibility for individuals around the world, thereby driving market demand.
Machine Translation Market Analysis
Discover more about the most important segments defining this market
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The on-premises segment achieved 52% of the machine translation market share in 2022. The joint initiatives that focused on enhancing machine translations are compelling the use of the on-premises deployment model.
For example, in July 2023, machine translation platform Custom.MT and enterprise AI-powered translation firm Smartling partnered for a joint technology integration program. The tie-up enables joint customers to be able to leverage best-of-breed machine translation engines more extensively, boosting the overall quality of their translated materials. With collaborative improvements further boosting the accuracy and efficiency of machine translations, the on-premise deployment model will find increasing adoption for its customized & secure offerings.
Get to know the leading segments driving this market
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The healthcare industry captured 20% of the machine translation market share in 2022. Various healthcare organizations are implementing machine translation services to remove the language barrier experienced by patients from varied ethnic backgrounds. For example, in June 2023, the Texas Heart Institute introduced a new translation technology on its websites. This technology supports interactions in more than 100 languages with the institute's digital properties.
This AI service has been applied on texasheart.org and texasheartmedical.org via the utilization of a neural machine translation network. It translates heart-health content into various languages such as Spanish, Vietnamese, Chinese, and Arabic. As this translation technology continues to serve the healthcare industry, the market is expected to witness growth during the forecast period.
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North America machine translation market captured more than 38% of revenue share in the year 2022. North American business life is diverse and typically involves business companies frequently interacting with partners, customers, and clients who converse in different languages. In this scenario, effective cross-lingual communication becomes imperative to have successful international relations. Machine translation enables businesses to rapidly translate contracts, emails, and reports, thus enabling effective communication & collaboration beyond language barriers. Such a facility is necessary for survival in the region's inter-connected & multi-cultural business environment.
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
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