Machine Translation Market Report by Technology Type (Statistical Machine Translation (SMT), Rule-Based Machine Translation (RBMT), Neural Machine Translation, and Others), Deployment Type (On-Premises, Cloud-Based), Application (BFSI, Automotive, Electro
Description
The global machine translation market size reached USD 218.8 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 508.7 Million by 2033, exhibiting a growth rate (CAGR) of 9.34% during 2025-2033.
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.
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 at the global, regional and country level from 2025-2033. Our report has categorized the market based on technology type, deployment type and application.
Breakup by Technology Type:
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
1.What was the size of the global machine translation market in 2024?
2.What is the expected growth rate of the global machine translation market during 2025-2033?
3.What are the key factors driving the global machine translation market?
4.What has been the impact of COVID-19 on the global machine translation market?
5.What is the breakup of the global machine translation market based on the technology type?
6.What is the breakup of the global machine translation market based on the deployment type?
7.What is the breakup of the global machine translation market based on the application?
8.What are the key regions in the global machine translation market?
9.Who are the key players/companies in the global machine translation market?
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.
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 at the global, regional and country level from 2025-2033. Our report has categorized the market based on technology type, deployment type and application.
Breakup by Technology Type:
- Statistical Machine Translation (SMT)
- Rule-Based Machine Translation (RBMT)
- Neural Machine Translation
- Others
- On-Premises
- Cloud-Based
- BFSI
- Automotive
- Electronics
- Healthcare
- IT and Telecommunications
- Military and Defense
- Others
- 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
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
1.What was the size of the global machine translation market in 2024?
2.What is the expected growth rate of the global machine translation market during 2025-2033?
3.What are the key factors driving the global machine translation market?
4.What has been the impact of COVID-19 on the global machine translation market?
5.What is the breakup of the global machine translation market based on the technology type?
6.What is the breakup of the global machine translation market based on the deployment type?
7.What is the breakup of the global machine translation market based on the application?
8.What are the key regions in the global machine translation market?
9.Who are the key players/companies in the global machine translation market?
Table of Contents
147 Pages
- 1 Preface
- 2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
- 3 Executive Summary
- 4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
- 5 Global Machine Translation Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
- 6 Market Breakup by Technology Type
- 6.1 Statistical Machine Translation (SMT)
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 Rule-Based Machine Translation (RBMT)
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
- 6.3 Neural Machine Translation
- 6.3.1 Market Trends
- 6.3.2 Market Forecast
- 6.4 Others
- 6.4.1 Market Trends
- 6.4.2 Market Forecast
- 7 Market Breakup by Deployment Type
- 7.1 On-Premises
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Cloud-Based
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
- 8 Market Breakup by Application
- 8.1 BFSI
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 Automotive
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
- 8.3 Electronics
- 8.3.1 Market Trends
- 8.3.2 Market Forecast
- 8.4 Healthcare
- 8.4.1 Market Trends
- 8.4.2 Market Forecast
- 8.5 IT and Telecommunications
- 8.5.1 Market Trends
- 8.5.2 Market Forecast
- 8.6 Military and Defense
- 8.6.1 Market Trends
- 8.6.2 Market Forecast
- 8.7 Others
- 8.7.1 Market Trends
- 8.7.2 Market Forecast
- 9 Market Breakup by Region
- 9.1 North America
- 9.1.1 United States
- 9.1.1.1 Market Trends
- 9.1.1.2 Market Forecast
- 9.1.2 Canada
- 9.1.2.1 Market Trends
- 9.1.2.2 Market Forecast
- 9.2 Asia-Pacific
- 9.2.1 China
- 9.2.1.1 Market Trends
- 9.2.1.2 Market Forecast
- 9.2.2 Japan
- 9.2.2.1 Market Trends
- 9.2.2.2 Market Forecast
- 9.2.3 India
- 9.2.3.1 Market Trends
- 9.2.3.2 Market Forecast
- 9.2.4 South Korea
- 9.2.4.1 Market Trends
- 9.2.4.2 Market Forecast
- 9.2.5 Australia
- 9.2.5.1 Market Trends
- 9.2.5.2 Market Forecast
- 9.2.6 Indonesia
- 9.2.6.1 Market Trends
- 9.2.6.2 Market Forecast
- 9.2.7 Others
- 9.2.7.1 Market Trends
- 9.2.7.2 Market Forecast
- 9.3 Europe
- 9.3.1 Germany
- 9.3.1.1 Market Trends
- 9.3.1.2 Market Forecast
- 9.3.2 France
- 9.3.2.1 Market Trends
- 9.3.2.2 Market Forecast
- 9.3.3 United Kingdom
- 9.3.3.1 Market Trends
- 9.3.3.2 Market Forecast
- 9.3.4 Italy
- 9.3.4.1 Market Trends
- 9.3.4.2 Market Forecast
- 9.3.5 Spain
- 9.3.5.1 Market Trends
- 9.3.5.2 Market Forecast
- 9.3.6 Russia
- 9.3.6.1 Market Trends
- 9.3.6.2 Market Forecast
- 9.3.7 Others
- 9.3.7.1 Market Trends
- 9.3.7.2 Market Forecast
- 9.4 Latin America
- 9.4.1 Brazil
- 9.4.1.1 Market Trends
- 9.4.1.2 Market Forecast
- 9.4.2 Mexico
- 9.4.2.1 Market Trends
- 9.4.2.2 Market Forecast
- 9.4.3 Others
- 9.4.3.1 Market Trends
- 9.4.3.2 Market Forecast
- 9.5 Middle East and Africa
- 9.5.1 Market Trends
- 9.5.2 Market Breakup by Country
- 9.5.3 Market Forecast
- 10 SWOT Analysis
- 10.1 Overview
- 10.2 Strengths
- 10.3 Weaknesses
- 10.4 Opportunities
- 10.5 Threats
- 11 Value Chain Analysis
- 12 Porters Five Forces Analysis
- 12.1 Overview
- 12.2 Bargaining Power of Buyers
- 12.3 Bargaining Power of Suppliers
- 12.4 Degree of Competition
- 12.5 Threat of New Entrants
- 12.6 Threat of Substitutes
- 13 Price Analysis
- 14 Competitive Landscape
- 14.1 Market Structure
- 14.2 Key Players
- 14.3 Profiles of Key Players
- 14.3.1 Applications Technology Inc.
- 14.3.1.1 Company Overview
- 14.3.1.2 Product Portfolio
- 14.3.2 Asia Online Pte Ltd.
- 14.3.2.1 Company Overview
- 14.3.2.2 Product Portfolio
- 14.3.3 Cloudwords Inc.
- 14.3.3.1 Company Overview
- 14.3.3.2 Product Portfolio
- 14.3.4 International Business Machines Corporation
- 14.3.4.1 Company Overview
- 14.3.4.2 Product Portfolio
- 14.3.4.3 Financials
- 14.3.4.4 SWOT Analysis
- 14.3.5 Lionbridge Technologies Inc.
- 14.3.5.1 Company Overview
- 14.3.5.2 Product Portfolio
- 14.3.6 Pangeanic
- 14.3.6.1 Company Overview
- 14.3.6.2 Product Portfolio
- 14.3.6.3 Financials
- 14.3.7 Raytheon Technologies Corporation
- 14.3.7.1 Company Overview
- 14.3.7.2 Product Portfolio
- 14.3.7.3 Financials
- 14.3.7.4 SWOT Analysis
- 14.3.8 SDL Plc (RWS Holdings Plc)
- 14.3.8.1 Company Overview
- 14.3.8.2 Product Portfolio
- 14.3.8.3 Financials
- 14.3.9 Smart Communications Inc. (PLDT Inc.)
- 14.3.9.1 Company Overview
- 14.3.9.2 Product Portfolio
- 14.3.10 Systran
- 14.3.10.1 Company Overview
- 14.3.10.2 Product Portfolio
- 14.3.10.3 Financials
- 14.3.11 Welocalize Inc.
- 14.3.11.1 Company Overview
- 14.3.11.2 Product Portfolio
Pricing
Currency Rates
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