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Machine Translation (MT)-Global Market Insights and Sales Trends 2025
Synopsis
Machine translation (MT) refers to fully automated software that can translate source content into target languages. Humans may use MT to help them render text and speech into another language, or the MT software may operate without human intervention. MT tools are often used to translate vast amounts of information involving millions of words that could not possibly be translated the traditional way. The quality of MT output can vary considerably; MT systems require “training” in the desired domain and language pair to increase quality. Translation companies use MT to augment productivity of their translators, cut costs, and provide post-editing services to clients. MT use by language service providers is growing quickly. In 2016, SDL—one of the largest translation companies in the world—announced it translates 20 times more content with MT than with human teams.
The global Machine Translation (MT) market size is expected to reach US$ 164.7 million by 2029, growing at a CAGR of 3.8% from 2023 to 2029. The market is mainly driven by the significant applications of Machine Translation (MT) in various end use industries. The expanding demands from the Healthcare, Automotive, Military & Defense and IT, are propelling Machine Translation (MT) market. Generic MT, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Customizable MT segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Machine Translation (MT) market, driven by demand from China, the second largest economy with some signs of stabilising, the Machine Translation (MT) market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Machine Translation (MT), with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Machine Translation (MT) market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Machine Translation (MT) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Machine Translation (MT) sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Machine Translation (MT) covered in this report include Google Translate, Microsoft Translator / Bing, SDL BeGlobal, Yandex Translate, Amazon Web Services translator, Naver, IBM - Watson Language Translator, Automatic Trans and BABYLON, etc.
The global Machine Translation (MT) market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Google Translate
Microsoft Translator / Bing
SDL BeGlobal
Yandex Translate
Amazon Web Services translator
Naver
IBM - Watson Language Translator
Automatic Trans
BABYLON
CCID TransTech
CSLi
East Linden
Eleka Ingeniaritza Linguistikoa
GrammarSoft ApS
Iconic Translation Machines
K2E-PAT
KantanMT
Kodensha
Global Machine Translation (MT) market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Machine Translation (MT) market, Segment by Type:
Generic MT
Customizable MT
Adaptive MT
Global Machine Translation (MT) market, by Application
Healthcare
Automotive
Military & Defense
IT
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Machine Translation (MT) companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Machine translation (MT) refers to fully automated software that can translate source content into target languages. Humans may use MT to help them render text and speech into another language, or the MT software may operate without human intervention. MT tools are often used to translate vast amounts of information involving millions of words that could not possibly be translated the traditional way. The quality of MT output can vary considerably; MT systems require “training” in the desired domain and language pair to increase quality. Translation companies use MT to augment productivity of their translators, cut costs, and provide post-editing services to clients. MT use by language service providers is growing quickly. In 2016, SDL—one of the largest translation companies in the world—announced it translates 20 times more content with MT than with human teams.
The global Machine Translation (MT) market size is expected to reach US$ 164.7 million by 2029, growing at a CAGR of 3.8% from 2023 to 2029. The market is mainly driven by the significant applications of Machine Translation (MT) in various end use industries. The expanding demands from the Healthcare, Automotive, Military & Defense and IT, are propelling Machine Translation (MT) market. Generic MT, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Customizable MT segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Machine Translation (MT) market, driven by demand from China, the second largest economy with some signs of stabilising, the Machine Translation (MT) market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Machine Translation (MT), with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Machine Translation (MT) market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Machine Translation (MT) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Machine Translation (MT) sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Machine Translation (MT) covered in this report include Google Translate, Microsoft Translator / Bing, SDL BeGlobal, Yandex Translate, Amazon Web Services translator, Naver, IBM - Watson Language Translator, Automatic Trans and BABYLON, etc.
The global Machine Translation (MT) market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Google Translate
Microsoft Translator / Bing
SDL BeGlobal
Yandex Translate
Amazon Web Services translator
Naver
IBM - Watson Language Translator
Automatic Trans
BABYLON
CCID TransTech
CSLi
East Linden
Eleka Ingeniaritza Linguistikoa
GrammarSoft ApS
Iconic Translation Machines
K2E-PAT
KantanMT
Kodensha
Global Machine Translation (MT) market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Machine Translation (MT) market, Segment by Type:
Generic MT
Customizable MT
Adaptive MT
Global Machine Translation (MT) market, by Application
Healthcare
Automotive
Military & Defense
IT
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Machine Translation (MT) companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Machine Translation (MT)
1.1 Machine Translation (MT) Market Overview
1.1.1 Machine Translation (MT) Product Scope
1.1.2 Machine Translation (MT) Market Status and Outlook
1.2 Global Machine Translation (MT) Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Machine Translation (MT) Market Size by Region (2018-2029)
1.4 Global Machine Translation (MT) Historic Market Size by Region (2018-2023)
1.5 Global Machine Translation (MT) Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Machine Translation (MT) Market Size (2018-2029)
1.6.1 North America Machine Translation (MT) Market Size (2018-2029)
1.6.2 Europe Machine Translation (MT) Market Size (2018-2029)
1.6.3 Asia-Pacific Machine Translation (MT) Market Size (2018-2029)
1.6.4 Latin America Machine Translation (MT) Market Size (2018-2029)
1.6.5 Middle East & Africa Machine Translation (MT) Market Size (2018-2029)
2 Machine Translation (MT) Market by Type
2.1 Introduction
2.1.1 Generic MT
2.1.2 Customizable MT
2.1.3 Adaptive MT
2.2 Global Machine Translation (MT) Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Machine Translation (MT) Historic Market Size by Type (2018-2023)
2.2.2 Global Machine Translation (MT) Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Machine Translation (MT) Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Machine Translation (MT) Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Machine Translation (MT) Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Machine Translation (MT) Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Machine Translation (MT) Revenue Breakdown by Type (2018-2029)
3 Machine Translation (MT) Market Overview by Application
3.1 Introduction
3.1.1 Healthcare
3.1.2 Automotive
3.1.3 Military & Defense
3.1.4 IT
3.1.5 Others
3.2 Global Machine Translation (MT) Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Machine Translation (MT) Historic Market Size by Application (2018-2023)
3.2.2 Global Machine Translation (MT) Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Machine Translation (MT) Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Machine Translation (MT) Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Machine Translation (MT) Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Machine Translation (MT) Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Machine Translation (MT) Revenue Breakdown by Application (2018-2029)
4 Machine Translation (MT) Competition Analysis by Players
4.1 Global Machine Translation (MT) Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Machine Translation (MT) as of 2022)
4.3 Date of Key Players Enter into Machine Translation (MT) Market
4.4 Global Top Players Machine Translation (MT) Headquarters and Area Served
4.5 Key Players Machine Translation (MT) Product Solution and Service
4.6 Competitive Status
4.6.1 Machine Translation (MT) Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Google Translate
5.1.1 Google Translate Profile
5.1.2 Google Translate Main Business
5.1.3 Google Translate Machine Translation (MT) Products, Services and Solutions
5.1.4 Google Translate Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.1.5 Google Translate Recent Developments
5.2 Microsoft Translator / Bing
5.2.1 Microsoft Translator / Bing Profile
5.2.2 Microsoft Translator / Bing Main Business
5.2.3 Microsoft Translator / Bing Machine Translation (MT) Products, Services and Solutions
5.2.4 Microsoft Translator / Bing Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.2.5 Microsoft Translator / Bing Recent Developments
5.3 SDL BeGlobal
5.3.1 SDL BeGlobal Profile
5.3.2 SDL BeGlobal Main Business
5.3.3 SDL BeGlobal Machine Translation (MT) Products, Services and Solutions
5.3.4 SDL BeGlobal Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.3.5 Yandex Translate Recent Developments
5.4 Yandex Translate
5.4.1 Yandex Translate Profile
5.4.2 Yandex Translate Main Business
5.4.3 Yandex Translate Machine Translation (MT) Products, Services and Solutions
5.4.4 Yandex Translate Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.4.5 Yandex Translate Recent Developments
5.5 Amazon Web Services translator
5.5.1 Amazon Web Services translator Profile
5.5.2 Amazon Web Services translator Main Business
5.5.3 Amazon Web Services translator Machine Translation (MT) Products, Services and Solutions
5.5.4 Amazon Web Services translator Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.5.5 Amazon Web Services translator Recent Developments
5.6 Naver
5.6.1 Naver Profile
5.6.2 Naver Main Business
5.6.3 Naver Machine Translation (MT) Products, Services and Solutions
5.6.4 Naver Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.6.5 Naver Recent Developments
5.7 IBM - Watson Language Translator
5.7.1 IBM - Watson Language Translator Profile
5.7.2 IBM - Watson Language Translator Main Business
5.7.3 IBM - Watson Language Translator Machine Translation (MT) Products, Services and Solutions
5.7.4 IBM - Watson Language Translator Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.7.5 IBM - Watson Language Translator Recent Developments
5.8 Automatic Trans
5.8.1 Automatic Trans Profile
5.8.2 Automatic Trans Main Business
5.8.3 Automatic Trans Machine Translation (MT) Products, Services and Solutions
5.8.4 Automatic Trans Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.8.5 Automatic Trans Recent Developments
5.9 BABYLON
5.9.1 BABYLON Profile
5.9.2 BABYLON Main Business
5.9.3 BABYLON Machine Translation (MT) Products, Services and Solutions
5.9.4 BABYLON Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.9.5 BABYLON Recent Developments
5.10 CCID TransTech
5.10.1 CCID TransTech Profile
5.10.2 CCID TransTech Main Business
5.10.3 CCID TransTech Machine Translation (MT) Products, Services and Solutions
5.10.4 CCID TransTech Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.10.5 CCID TransTech Recent Developments
5.11 CSLi
5.11.1 CSLi Profile
5.11.2 CSLi Main Business
5.11.3 CSLi Machine Translation (MT) Products, Services and Solutions
5.11.4 CSLi Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.11.5 CSLi Recent Developments
5.12 East Linden
5.12.1 East Linden Profile
5.12.2 East Linden Main Business
5.12.3 East Linden Machine Translation (MT) Products, Services and Solutions
5.12.4 East Linden Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.12.5 East Linden Recent Developments
5.13 Eleka Ingeniaritza Linguistikoa
5.13.1 Eleka Ingeniaritza Linguistikoa Profile
5.13.2 Eleka Ingeniaritza Linguistikoa Main Business
5.13.3 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Products, Services and Solutions
5.13.4 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.13.5 Eleka Ingeniaritza Linguistikoa Recent Developments
5.14 GrammarSoft ApS
5.14.1 GrammarSoft ApS Profile
5.14.2 GrammarSoft ApS Main Business
5.14.3 GrammarSoft ApS Machine Translation (MT) Products, Services and Solutions
5.14.4 GrammarSoft ApS Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.14.5 GrammarSoft ApS Recent Developments
5.15 Iconic Translation Machines
5.15.1 Iconic Translation Machines Profile
5.15.2 Iconic Translation Machines Main Business
5.15.3 Iconic Translation Machines Machine Translation (MT) Products, Services and Solutions
5.15.4 Iconic Translation Machines Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.15.5 Iconic Translation Machines Recent Developments
5.16 K2E-PAT
5.16.1 K2E-PAT Profile
5.16.2 K2E-PAT Main Business
5.16.3 K2E-PAT Machine Translation (MT) Products, Services and Solutions
5.16.4 K2E-PAT Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.16.5 K2E-PAT Recent Developments
5.17 KantanMT
5.17.1 KantanMT Profile
5.17.2 KantanMT Main Business
5.17.3 KantanMT Machine Translation (MT) Products, Services and Solutions
5.17.4 KantanMT Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.17.5 KantanMT Recent Developments
5.18 Kodensha
5.18.1 Kodensha Profile
5.18.2 Kodensha Main Business
5.18.3 Kodensha Machine Translation (MT) Products, Services and Solutions
5.18.4 Kodensha Machine Translation (MT) Revenue (US$ Million) & (2018-2023)
5.18.5 Kodensha Recent Developments
6 North America
6.1 North America Machine Translation (MT) Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Machine Translation (MT) Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Machine Translation (MT) Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Machine Translation (MT) Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Machine Translation (MT) Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Machine Translation (MT) Market Dynamics
11.1 Machine Translation (MT) Industry Trends
11.2 Machine Translation (MT) Market Drivers
11.3 Machine Translation (MT) Market Challenges
11.4 Machine Translation (MT) Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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