The global Machine Translation (MT) market size was valued at US$ 120.4 million in 2023. With growing demand in downstream market, the Machine Translation (MT) is forecast to a readjusted size of US$ 157.8 million by 2030 with a CAGR of 3.9% during review period.
The research report highlights the growth potential of the global Machine Translation (MT) market. Machine Translation (MT) are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Machine Translation (MT). 麻豆原创 players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Machine Translation (MT) market.
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 鈥渢raining鈥� 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鈥攐ne of the largest translation companies in the world鈥攁nnounced it translates 20 times more content with MT than with human teams.
Key Features:
The report on Machine Translation (MT) market reflects various aspects and provide valuable insights into the industry.
麻豆原创 Size and Growth: The research report provide an overview of the current size and growth of the Machine Translation (MT) market. It may include historical data, market segmentation by Type (e.g., Generic MT, Customizable MT), and regional breakdowns.
麻豆原创 Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Machine Translation (MT) market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Machine Translation (MT) market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Machine Translation (MT) industry. This include advancements in Machine Translation (MT) technology, Machine Translation (MT) new entrants, Machine Translation (MT) new investment, and other innovations that are shaping the future of Machine Translation (MT).
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Machine Translation (MT) market. It includes factors influencing customer ' purchasing decisions, preferences for Machine Translation (MT) product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Machine Translation (MT) market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Machine Translation (MT) market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Machine Translation (MT) market.
麻豆原创 Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Machine Translation (MT) industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Machine Translation (MT) market.
麻豆原创 Segmentation:
Machine Translation (MT) market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Generic MT
Customizable MT
Adaptive MT
Segmentation by application
Healthcare
Automotive
Military & Defense
IT
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Machine Translation (MT) 麻豆原创 Size 2019-2030
2.1.2 Machine Translation (MT) 麻豆原创 Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Machine Translation (MT) Segment by Type
2.2.1 Generic MT
2.2.2 Customizable MT
2.2.3 Adaptive MT
2.3 Machine Translation (MT) 麻豆原创 Size by Type
2.3.1 Machine Translation (MT) 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Machine Translation (MT) 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Machine Translation (MT) Segment by Application
2.4.1 Healthcare
2.4.2 Automotive
2.4.3 Military & Defense
2.4.4 IT
2.4.5 Others
2.5 Machine Translation (MT) 麻豆原创 Size by Application
2.5.1 Machine Translation (MT) 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Machine Translation (MT) 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Machine Translation (MT) 麻豆原创 Size by Player
3.1 Machine Translation (MT) 麻豆原创 Size 麻豆原创 Share by Players
3.1.1 Global Machine Translation (MT) Revenue by Players (2019-2024)
3.1.2 Global Machine Translation (MT) Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Machine Translation (MT) Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Machine Translation (MT) by Regions
4.1 Machine Translation (MT) 麻豆原创 Size by Regions (2019-2024)
4.2 Americas Machine Translation (MT) 麻豆原创 Size Growth (2019-2024)
4.3 APAC Machine Translation (MT) 麻豆原创 Size Growth (2019-2024)
4.4 Europe Machine Translation (MT) 麻豆原创 Size Growth (2019-2024)
4.5 Middle East & Africa Machine Translation (MT) 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Machine Translation (MT) 麻豆原创 Size by Country (2019-2024)
5.2 Americas Machine Translation (MT) 麻豆原创 Size by Type (2019-2024)
5.3 Americas Machine Translation (MT) 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Machine Translation (MT) 麻豆原创 Size by Region (2019-2024)
6.2 APAC Machine Translation (MT) 麻豆原创 Size by Type (2019-2024)
6.3 APAC Machine Translation (MT) 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Machine Translation (MT) by Country (2019-2024)
7.2 Europe Machine Translation (MT) 麻豆原创 Size by Type (2019-2024)
7.3 Europe Machine Translation (MT) 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Machine Translation (MT) by Region (2019-2024)
8.2 Middle East & Africa Machine Translation (MT) 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Machine Translation (MT) 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Machine Translation (MT) 麻豆原创 Forecast
10.1 Global Machine Translation (MT) Forecast by Regions (2025-2030)
10.1.1 Global Machine Translation (MT) Forecast by Regions (2025-2030)
10.1.2 Americas Machine Translation (MT) Forecast
10.1.3 APAC Machine Translation (MT) Forecast
10.1.4 Europe Machine Translation (MT) Forecast
10.1.5 Middle East & Africa Machine Translation (MT) Forecast
10.2 Americas Machine Translation (MT) Forecast by Country (2025-2030)
10.2.1 United States Machine Translation (MT) 麻豆原创 Forecast
10.2.2 Canada Machine Translation (MT) 麻豆原创 Forecast
10.2.3 Mexico Machine Translation (MT) 麻豆原创 Forecast
10.2.4 Brazil Machine Translation (MT) 麻豆原创 Forecast
10.3 APAC Machine Translation (MT) Forecast by Region (2025-2030)
10.3.1 China Machine Translation (MT) 麻豆原创 Forecast
10.3.2 Japan Machine Translation (MT) 麻豆原创 Forecast
10.3.3 Korea Machine Translation (MT) 麻豆原创 Forecast
10.3.4 Southeast Asia Machine Translation (MT) 麻豆原创 Forecast
10.3.5 India Machine Translation (MT) 麻豆原创 Forecast
10.3.6 Australia Machine Translation (MT) 麻豆原创 Forecast
10.4 Europe Machine Translation (MT) Forecast by Country (2025-2030)
10.4.1 Germany Machine Translation (MT) 麻豆原创 Forecast
10.4.2 France Machine Translation (MT) 麻豆原创 Forecast
10.4.3 UK Machine Translation (MT) 麻豆原创 Forecast
10.4.4 Italy Machine Translation (MT) 麻豆原创 Forecast
10.4.5 Russia Machine Translation (MT) 麻豆原创 Forecast
10.5 Middle East & Africa Machine Translation (MT) Forecast by Region (2025-2030)
10.5.1 Egypt Machine Translation (MT) 麻豆原创 Forecast
10.5.2 South Africa Machine Translation (MT) 麻豆原创 Forecast
10.5.3 Israel Machine Translation (MT) 麻豆原创 Forecast
10.5.4 Turkey Machine Translation (MT) 麻豆原创 Forecast
10.5.5 GCC Countries Machine Translation (MT) 麻豆原创 Forecast
10.6 Global Machine Translation (MT) Forecast by Type (2025-2030)
10.7 Global Machine Translation (MT) Forecast by Application (2025-2030)
11 Key Players Analysis
11.1 Google Translate
11.1.1 Google Translate Company Information
11.1.2 Google Translate Machine Translation (MT) Product Offered
11.1.3 Google Translate Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 Google Translate Main Business Overview
11.1.5 Google Translate Latest Developments
11.2 Microsoft Translator / Bing
11.2.1 Microsoft Translator / Bing Company Information
11.2.2 Microsoft Translator / Bing Machine Translation (MT) Product Offered
11.2.3 Microsoft Translator / Bing Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 Microsoft Translator / Bing Main Business Overview
11.2.5 Microsoft Translator / Bing Latest Developments
11.3 SDL BeGlobal
11.3.1 SDL BeGlobal Company Information
11.3.2 SDL BeGlobal Machine Translation (MT) Product Offered
11.3.3 SDL BeGlobal Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 SDL BeGlobal Main Business Overview
11.3.5 SDL BeGlobal Latest Developments
11.4 Yandex Translate
11.4.1 Yandex Translate Company Information
11.4.2 Yandex Translate Machine Translation (MT) Product Offered
11.4.3 Yandex Translate Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 Yandex Translate Main Business Overview
11.4.5 Yandex Translate Latest Developments
11.5 Amazon Web Services translator
11.5.1 Amazon Web Services translator Company Information
11.5.2 Amazon Web Services translator Machine Translation (MT) Product Offered
11.5.3 Amazon Web Services translator Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 Amazon Web Services translator Main Business Overview
11.5.5 Amazon Web Services translator Latest Developments
11.6 Naver
11.6.1 Naver Company Information
11.6.2 Naver Machine Translation (MT) Product Offered
11.6.3 Naver Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Naver Main Business Overview
11.6.5 Naver Latest Developments
11.7 IBM - Watson Language Translator
11.7.1 IBM - Watson Language Translator Company Information
11.7.2 IBM - Watson Language Translator Machine Translation (MT) Product Offered
11.7.3 IBM - Watson Language Translator Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 IBM - Watson Language Translator Main Business Overview
11.7.5 IBM - Watson Language Translator Latest Developments
11.8 Automatic Trans
11.8.1 Automatic Trans Company Information
11.8.2 Automatic Trans Machine Translation (MT) Product Offered
11.8.3 Automatic Trans Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Automatic Trans Main Business Overview
11.8.5 Automatic Trans Latest Developments
11.9 BABYLON
11.9.1 BABYLON Company Information
11.9.2 BABYLON Machine Translation (MT) Product Offered
11.9.3 BABYLON Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 BABYLON Main Business Overview
11.9.5 BABYLON Latest Developments
11.10 CCID TransTech
11.10.1 CCID TransTech Company Information
11.10.2 CCID TransTech Machine Translation (MT) Product Offered
11.10.3 CCID TransTech Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 CCID TransTech Main Business Overview
11.10.5 CCID TransTech Latest Developments
11.11 CSLi
11.11.1 CSLi Company Information
11.11.2 CSLi Machine Translation (MT) Product Offered
11.11.3 CSLi Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 CSLi Main Business Overview
11.11.5 CSLi Latest Developments
11.12 East Linden
11.12.1 East Linden Company Information
11.12.2 East Linden Machine Translation (MT) Product Offered
11.12.3 East Linden Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 East Linden Main Business Overview
11.12.5 East Linden Latest Developments
11.13 Eleka Ingeniaritza Linguistikoa
11.13.1 Eleka Ingeniaritza Linguistikoa Company Information
11.13.2 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Product Offered
11.13.3 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.13.4 Eleka Ingeniaritza Linguistikoa Main Business Overview
11.13.5 Eleka Ingeniaritza Linguistikoa Latest Developments
11.14 GrammarSoft ApS
11.14.1 GrammarSoft ApS Company Information
11.14.2 GrammarSoft ApS Machine Translation (MT) Product Offered
11.14.3 GrammarSoft ApS Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.14.4 GrammarSoft ApS Main Business Overview
11.14.5 GrammarSoft ApS Latest Developments
11.15 Iconic Translation Machines
11.15.1 Iconic Translation Machines Company Information
11.15.2 Iconic Translation Machines Machine Translation (MT) Product Offered
11.15.3 Iconic Translation Machines Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.15.4 Iconic Translation Machines Main Business Overview
11.15.5 Iconic Translation Machines Latest Developments
11.16 K2E-PAT
11.16.1 K2E-PAT Company Information
11.16.2 K2E-PAT Machine Translation (MT) Product Offered
11.16.3 K2E-PAT Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.16.4 K2E-PAT Main Business Overview
11.16.5 K2E-PAT Latest Developments
11.17 KantanMT
11.17.1 KantanMT Company Information
11.17.2 KantanMT Machine Translation (MT) Product Offered
11.17.3 KantanMT Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.17.4 KantanMT Main Business Overview
11.17.5 KantanMT Latest Developments
11.18 Kodensha
11.18.1 Kodensha Company Information
11.18.2 Kodensha Machine Translation (MT) Product Offered
11.18.3 Kodensha Machine Translation (MT) Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.18.4 Kodensha Main Business Overview
11.18.5 Kodensha Latest Developments
12 Research Findings and Conclusion
听
听
*If Applicable.