Machine Translation Market Share, Size, Growth, Opportunity and Forecast 2021-2026

*As the coronavirus disease (COVID-19) crisis takes over the world, we are continuously tracking the changes in the markets, as well as the purchase behaviours of the consumers globally and our estimates about the latest market trends and forecasts are being done after considering the impact of this pandemic.

Machine Translation Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

Market Overview:

The global machine translation market grew at a CAGR of around 14% during 2015-2020. Machine translation (MT) refers to a sub-field of computational linguistics that translates source content into target languages. It is a fully automated software, which allows customization and enhances the overall output by limiting the scope of permissible substitutions. It is useful in domains wherein formal or formulaic language is employed. MT can work without human intervention to translate considerable amounts of information that cannot be translated conventionally. At present, the growth of adaptive machine translation, along with the reinvention of computer-aided translational tools, is offering lucrative opportunities to leading players in the industry.

The rising popularity of cloud-based applications represents one of the key factors strengthening the growth of the market. Cloud technology provides access to different services via cloud servers, thereby eliminating the need to invest in in-house hardware development or installations. Moreover, the increasing requirement of organizations to localize their content in different languages and capture international markets is positively influencing the sales of MT solutions across the globe. Furthermore, key players are focusing on the development of advanced MT solutions to expand their product portfolio. For instance, Lilt Inc., an Artificial Intelligence (AI) powered language service provider, recently launched an adaptive neural machine translation system to utilize a real-time feedback loop and enhance the productivity of a human translator. Besides this, machine translation services are being developed to disseminate healthcare information regarding the ongoing coronavirus disease (COVID-19) pandemic in various regional languages. Looking forward, IMARC Group expects the global machine translation market to exhibit strong growth during the next five years.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global machine translation market report, along with forecasts for growth at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, technology type, deployment type and application.

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
- South Korea
- Australia
- Indonesia
- Others
Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
Latin America
- Brazil
- Mexico
- Others
Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being 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 and Welocalize Inc.

Key Questions Answered in This Report:

How has the global machine translation market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global machine translation market?
What are the key regional markets?
What is the breakup of the market based on the technology type?
What is the breakup of the market based on the deployment type?
What is the breakup of the market based on the application?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global machine translation market and who are the key players?
What is the degree of competition in the industry?