Machine Translation Market Growth Drivers and Challenges:
Growth Drivers
- Growing Demand for Multilingual Communication – Successful multilingual businesses have more inventive environments that aid in their ability to compete globally, while English-only businesses risk falling behind. In order to do business without communication hurdles, around 90% of American employers heavily rely on personnel who can speak languages other than English. Moreover, almost 56% of businesses believe that within the next five years, the need for a bilingual workforce will rise.
- Increasing Demand for Mobile Devices – Mobile translation encompasses both the use of a mobile platform for human translation as well as mobile apps that increasingly use machine translation technology to translate words and phrases from your smartphone. China, India, and the US are the top three nations for smartphone usage.
- Growing Advancement in Natural Language Processing – NLP ensures the smoother, faster, and more secure translation of languages. In the near future, more than 75% of companies in the United Kingdom with active natural language processing (NLP) initiatives want to raise their spending.
- Rising Prevalence of E-Commerce– E-commerce platforms use machine translation for localizing the business. Considering that customers prefer to read product information in their own language, a localized e-commerce platform also fosters trust and brand loyalty while also helping to increase sales.
- Rising Use of Chatbots –In order to deliver quick responses, chatbots often make use of neural machine translation engines, which allow them to instantly adapt to a wide range of languages. Since 2019, there has been a remarkable 92% increase in the use of chatbots as a brand communication channel, worldwide. In 2020, around 25% of customers interacted with firms via chatbots, which was higher than nearly 13% in 2019.
Challenges
- The Level of Accuracy is Compromised – Human brain is very complicated, and it is very difficult to decode each and everything a human can say. Moreover, the quality of experienced translators is considerably above what even the greatest AI translation systems can equal.
- Lack of Context Translation
- Implementation cost of machine translation is much high than human translator
Machine Translation Market Size and Forecast:
|
Base Year |
2025 |
|
Forecast Period |
2026-2035 |
|
CAGR |
12.8% |
|
Base Year Market Size (2025) |
USD 1.21 billion |
|
Forecast Year Market Size (2035) |
USD 4.04 billion |
|
Regional Scope |
|
Browse key industry insights with market data tables & charts from the report:
Frequently Asked Questions (FAQ)
In the year 2026, the industry size of machine translation is evaluated at USD 1.34 billion.
The global machine translation market size was worth over USD 1.21 billion in 2025 and is poised to witness a CAGR of more than 12.8%, crossing USD 4.04 billion revenue by 2035.
North America machine translation market will hold over 40% share by 2035, backed by AI/ML investments and e-commerce expansion.
Key players in the market include Lilt, Inc., AppTek LLC, Amazon Web Services, Inc., Alibaba Cloud, Cloudwords Inc., Google LLC, IBM Corporation, Lionbridge Technologies, LLC., Microsoft Corporation, Smart Communications, Inc.
