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Global Machine Translation (MT) Market Research Report 2024
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 was valued at US$ 123.1 million in 2023 and is anticipated to reach US$ 164.7 million by 2030, witnessing a CAGR of 3.8% during the forecast period 2024-2030.
North American market for Machine Translation (MT) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Translation (MT) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Translation (MT) in Healthcare is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Translation (MT) include Google Translate, Microsoft Translator / Bing, SDL BeGlobal, Yandex Translate, Amazon Web Services translator, Naver, IBM - Watson Language Translator, Automatic Trans and BABYLON, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Translation (MT), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Translation (MT).
Report Scope
The Machine Translation (MT) market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Translation (MT) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Translation (MT) companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
Generic MT
Customizable MT
Adaptive MT
Segment by Application
Healthcare
Automotive
Military & Defense
IT
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Machine Translation (MT) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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 was valued at US$ 123.1 million in 2023 and is anticipated to reach US$ 164.7 million by 2030, witnessing a CAGR of 3.8% during the forecast period 2024-2030.
North American market for Machine Translation (MT) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Translation (MT) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Translation (MT) in Healthcare is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Translation (MT) include Google Translate, Microsoft Translator / Bing, SDL BeGlobal, Yandex Translate, Amazon Web Services translator, Naver, IBM - Watson Language Translator, Automatic Trans and BABYLON, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Translation (MT), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Translation (MT).
Report Scope
The Machine Translation (MT) market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Translation (MT) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Translation (MT) companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
Generic MT
Customizable MT
Adaptive MT
Segment by Application
Healthcare
Automotive
Military & Defense
IT
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Machine Translation (MT) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Translation (MT) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Generic MT
1.2.3 Customizable MT
1.2.4 Adaptive MT
1.3 Market by Application
1.3.1 Global Machine Translation (MT) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Healthcare
1.3.3 Automotive
1.3.4 Military & Defense
1.3.5 IT
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Translation (MT) Market Perspective (2019-2030)
2.2 Machine Translation (MT) Growth Trends by Region
2.2.1 Global Machine Translation (MT) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Translation (MT) Historic Market Size by Region (2019-2024)
2.2.3 Machine Translation (MT) Forecasted Market Size by Region (2025-2030)
2.3 Machine Translation (MT) Market Dynamics
2.3.1 Machine Translation (MT) Industry Trends
2.3.2 Machine Translation (MT) Market Drivers
2.3.3 Machine Translation (MT) Market Challenges
2.3.4 Machine Translation (MT) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Translation (MT) Players by Revenue
3.1.1 Global Top Machine Translation (MT) Players by Revenue (2019-2024)
3.1.2 Global Machine Translation (MT) Revenue Market Share by Players (2019-2024)
3.2 Global Machine Translation (MT) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Translation (MT) Revenue
3.4 Global Machine Translation (MT) Market Concentration Ratio
3.4.1 Global Machine Translation (MT) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Translation (MT) Revenue in 2023
3.5 Machine Translation (MT) Key Players Head office and Area Served
3.6 Key Players Machine Translation (MT) Product Solution and Service
3.7 Date of Enter into Machine Translation (MT) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Translation (MT) Breakdown Data by Type
4.1 Global Machine Translation (MT) Historic Market Size by Type (2019-2024)
4.2 Global Machine Translation (MT) Forecasted Market Size by Type (2025-2030)
5 Machine Translation (MT) Breakdown Data by Application
5.1 Global Machine Translation (MT) Historic Market Size by Application (2019-2024)
5.2 Global Machine Translation (MT) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Translation (MT) Market Size (2019-2030)
6.2 North America Machine Translation (MT) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Translation (MT) Market Size by Country (2019-2024)
6.4 North America Machine Translation (MT) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Translation (MT) Market Size (2019-2030)
7.2 Europe Machine Translation (MT) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Translation (MT) Market Size by Country (2019-2024)
7.4 Europe Machine Translation (MT) Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Translation (MT) Market Size (2019-2030)
8.2 Asia-Pacific Machine Translation (MT) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Translation (MT) Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Translation (MT) Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Translation (MT) Market Size (2019-2030)
9.2 Latin America Machine Translation (MT) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Translation (MT) Market Size by Country (2019-2024)
9.4 Latin America Machine Translation (MT) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Translation (MT) Market Size (2019-2030)
10.2 Middle East & Africa Machine Translation (MT) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Translation (MT) Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Translation (MT) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google Translate
11.1.1 Google Translate Company Detail
11.1.2 Google Translate Business Overview
11.1.3 Google Translate Machine Translation (MT) Introduction
11.1.4 Google Translate Revenue in Machine Translation (MT) Business (2019-2024)
11.1.5 Google Translate Recent Development
11.2 Microsoft Translator / Bing
11.2.1 Microsoft Translator / Bing Company Detail
11.2.2 Microsoft Translator / Bing Business Overview
11.2.3 Microsoft Translator / Bing Machine Translation (MT) Introduction
11.2.4 Microsoft Translator / Bing Revenue in Machine Translation (MT) Business (2019-2024)
11.2.5 Microsoft Translator / Bing Recent Development
11.3 SDL BeGlobal
11.3.1 SDL BeGlobal Company Detail
11.3.2 SDL BeGlobal Business Overview
11.3.3 SDL BeGlobal Machine Translation (MT) Introduction
11.3.4 SDL BeGlobal Revenue in Machine Translation (MT) Business (2019-2024)
11.3.5 SDL BeGlobal Recent Development
11.4 Yandex Translate
11.4.1 Yandex Translate Company Detail
11.4.2 Yandex Translate Business Overview
11.4.3 Yandex Translate Machine Translation (MT) Introduction
11.4.4 Yandex Translate Revenue in Machine Translation (MT) Business (2019-2024)
11.4.5 Yandex Translate Recent Development
11.5 Amazon Web Services translator
11.5.1 Amazon Web Services translator Company Detail
11.5.2 Amazon Web Services translator Business Overview
11.5.3 Amazon Web Services translator Machine Translation (MT) Introduction
11.5.4 Amazon Web Services translator Revenue in Machine Translation (MT) Business (2019-2024)
11.5.5 Amazon Web Services translator Recent Development
11.6 Naver
11.6.1 Naver Company Detail
11.6.2 Naver Business Overview
11.6.3 Naver Machine Translation (MT) Introduction
11.6.4 Naver Revenue in Machine Translation (MT) Business (2019-2024)
11.6.5 Naver Recent Development
11.7 IBM - Watson Language Translator
11.7.1 IBM - Watson Language Translator Company Detail
11.7.2 IBM - Watson Language Translator Business Overview
11.7.3 IBM - Watson Language Translator Machine Translation (MT) Introduction
11.7.4 IBM - Watson Language Translator Revenue in Machine Translation (MT) Business (2019-2024)
11.7.5 IBM - Watson Language Translator Recent Development
11.8 Automatic Trans
11.8.1 Automatic Trans Company Detail
11.8.2 Automatic Trans Business Overview
11.8.3 Automatic Trans Machine Translation (MT) Introduction
11.8.4 Automatic Trans Revenue in Machine Translation (MT) Business (2019-2024)
11.8.5 Automatic Trans Recent Development
11.9 BABYLON
11.9.1 BABYLON Company Detail
11.9.2 BABYLON Business Overview
11.9.3 BABYLON Machine Translation (MT) Introduction
11.9.4 BABYLON Revenue in Machine Translation (MT) Business (2019-2024)
11.9.5 BABYLON Recent Development
11.10 CCID TransTech
11.10.1 CCID TransTech Company Detail
11.10.2 CCID TransTech Business Overview
11.10.3 CCID TransTech Machine Translation (MT) Introduction
11.10.4 CCID TransTech Revenue in Machine Translation (MT) Business (2019-2024)
11.10.5 CCID TransTech Recent Development
11.11 CSLi
11.11.1 CSLi Company Detail
11.11.2 CSLi Business Overview
11.11.3 CSLi Machine Translation (MT) Introduction
11.11.4 CSLi Revenue in Machine Translation (MT) Business (2019-2024)
11.11.5 CSLi Recent Development
11.12 East Linden
11.12.1 East Linden Company Detail
11.12.2 East Linden Business Overview
11.12.3 East Linden Machine Translation (MT) Introduction
11.12.4 East Linden Revenue in Machine Translation (MT) Business (2019-2024)
11.12.5 East Linden Recent Development
11.13 Eleka Ingeniaritza Linguistikoa
11.13.1 Eleka Ingeniaritza Linguistikoa Company Detail
11.13.2 Eleka Ingeniaritza Linguistikoa Business Overview
11.13.3 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Introduction
11.13.4 Eleka Ingeniaritza Linguistikoa Revenue in Machine Translation (MT) Business (2019-2024)
11.13.5 Eleka Ingeniaritza Linguistikoa Recent Development
11.14 GrammarSoft ApS
11.14.1 GrammarSoft ApS Company Detail
11.14.2 GrammarSoft ApS Business Overview
11.14.3 GrammarSoft ApS Machine Translation (MT) Introduction
11.14.4 GrammarSoft ApS Revenue in Machine Translation (MT) Business (2019-2024)
11.14.5 GrammarSoft ApS Recent Development
11.15 Iconic Translation Machines
11.15.1 Iconic Translation Machines Company Detail
11.15.2 Iconic Translation Machines Business Overview
11.15.3 Iconic Translation Machines Machine Translation (MT) Introduction
11.15.4 Iconic Translation Machines Revenue in Machine Translation (MT) Business (2019-2024)
11.15.5 Iconic Translation Machines Recent Development
11.16 K2E-PAT
11.16.1 K2E-PAT Company Detail
11.16.2 K2E-PAT Business Overview
11.16.3 K2E-PAT Machine Translation (MT) Introduction
11.16.4 K2E-PAT Revenue in Machine Translation (MT) Business (2019-2024)
11.16.5 K2E-PAT Recent Development
11.17 KantanMT
11.17.1 KantanMT Company Detail
11.17.2 KantanMT Business Overview
11.17.3 KantanMT Machine Translation (MT) Introduction
11.17.4 KantanMT Revenue in Machine Translation (MT) Business (2019-2024)
11.17.5 KantanMT Recent Development
11.18 Kodensha
11.18.1 Kodensha Company Detail
11.18.2 Kodensha Business Overview
11.18.3 Kodensha Machine Translation (MT) Introduction
11.18.4 Kodensha Revenue in Machine Translation (MT) Business (2019-2024)
11.18.5 Kodensha Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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