Industry: Service & Software
Published Date: 2026-07-15
Pages: 123 Pages
Report ld: 6973670
Request Sample
Customized Report
Machine Translation (MT) Market Size(US$)

CAGR 2026-2032
3.8%
Market Size,2032
USD 182
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Machine Translation (MT) was estimated to be worth US$ 141 million in 2025 and is projected to reach US$ 182 million, growing at a CAGR of 3.8% from 2026 to 2032.
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 North American market for Machine Translation (MT) was valued at US$ million in 2025 and is projected to reach US$ million by 2032, at a CAGR of % from 2026 to 2032.
The Asia-Pacific market for Machine Translation (MT) was valued at $ million in 2025 and is projected to climb to US$ million by 2032, at a CAGR of % from 2026 to 2032.
The European market for Machine Translation (MT) was valued at $ million in 2025 and is projected to total US$ million by 2032, at a CAGR of % from 2026 to 2032.
The global key companies in the Machine Translation (MT) market include Google Translate, Microsoft Translator / Bing, SDL BeGlobal, Yandex Translate, Amazon Web Services translator, Naver, IBM - Watson Language Translator, Automatic Trans, BABYLON, CCID TransTech, etc. In 2025, the five largest players accounted for approximately % of revenue.
This report provides a comprehensive view of the global market for Machine Translation (MT), covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Machine Translation (MT) market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Machine Translation (MT).
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Machine Translation (MT) companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Machine Translation (MT) revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Machine Translation (MT) revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Machine Translation (MT) Product Introduction
1.2 Global Machine Translation (MT) Market Size Forecast (2021–2032)
1.3 Machine Translation (MT) Market Trends & Drivers
1.3.1 Machine Translation (MT) Industry Trends
1.3.2 Machine Translation (MT) Market Drivers & Opportunities
1.3.3 Machine Translation (MT) Market Challenges
1.3.4 Machine Translation (MT) Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Machine Translation (MT) Players Revenue Ranking (2025)
2.2 Global Machine Translation (MT) Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Machine Translation (MT) Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Machine Translation (MT)
2.6 Machine Translation (MT) Market Competitive Analysis
2.6.1 Machine Translation (MT) Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Machine Translation (MT) Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Machine Translation (MT) revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Machine Translation (MT) Market Classification
3.1 Introduction by Type
3.1.1 Generic MT
3.1.2 Customizable MT
3.1.3 Adaptive MT
3.1.4 Global Machine Translation (MT) Sales Value by Type
3.1.4.1 Global Machine Translation (MT) Sales Value by Type (2021 vs 2025 vs 2032)
3.1.4.2 Global Machine Translation (MT) Sales Value, by Type (2021–2032)
3.1.4.3 Global Machine Translation (MT) Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Healthcare
4.1.2 Automotive
4.1.3 Military & Defense
4.1.4 IT
4.1.5 Others
4.2 Global Machine Translation (MT) Sales Value by Application
4.2.1 Global Machine Translation (MT) Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Machine Translation (MT) Sales Value by Application (2021–2032)
4.2.3 Global Machine Translation (MT) Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global Machine Translation (MT) Sales Value by Region
5.1.1 Global Machine Translation (MT) Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Machine Translation (MT) Sales Value by Region (2021–2026)
5.1.3 Global Machine Translation (MT) Sales Value by Region (2027–2032)
5.1.4 Global Machine Translation (MT) Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Machine Translation (MT) Sales Value, 2021–2032
5.2.2 North America Machine Translation (MT) Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Machine Translation (MT) Sales Value, 2021–2032
5.3.2 Europe Machine Translation (MT) Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Translation (MT) Sales Value, 2021–2032
5.4.2 Asia Pacific Machine Translation (MT) Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Machine Translation (MT) Sales Value, 2021–2032
5.5.2 South America Machine Translation (MT) Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Translation (MT) Sales Value, 2021–2032
5.6.2 Middle East & Africa Machine Translation (MT) Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Translation (MT) Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Machine Translation (MT) Sales Value, 2021–2032
6.3 United States
6.3.1 United States Machine Translation (MT) Sales Value, 2021–2032
6.3.2 United States Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Machine Translation (MT) Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Machine Translation (MT) Sales Value, 2021–2032
6.4.2 Europe Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Machine Translation (MT) Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Machine Translation (MT) Sales Value, 2021–2032
6.5.2 China Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.5.3 China Machine Translation (MT) Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Machine Translation (MT) Sales Value, 2021–2032
6.6.2 Japan Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Machine Translation (MT) Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Machine Translation (MT) Sales Value, 2021–2032
6.7.2 South Korea Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Machine Translation (MT) Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Translation (MT) Sales Value, 2021–2032
6.8.2 Southeast Asia Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Machine Translation (MT) Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Machine Translation (MT) Sales Value, 2021–2032
6.9.2 India Machine Translation (MT) Sales Value by Type (%), 2025 vs 2032
6.9.3 India Machine Translation (MT) Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Google Translate
7.1.1 Google Translate Profile
7.1.2 Google Translate Main Business
7.1.3 Google Translate Machine Translation (MT) Products, Services, and Solutions
7.1.4 Google Translate Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.1.5 Google Translate Recent Developments
7.2 Microsoft Translator / Bing
7.2.1 Microsoft Translator / Bing Profile
7.2.2 Microsoft Translator / Bing Main Business
7.2.3 Microsoft Translator / Bing Machine Translation (MT) Products, Services, and Solutions
7.2.4 Microsoft Translator / Bing Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.2.5 Microsoft Translator / Bing Recent Developments
7.3 SDL BeGlobal
7.3.1 SDL BeGlobal Profile
7.3.2 SDL BeGlobal Main Business
7.3.3 SDL BeGlobal Machine Translation (MT) Products, Services, and Solutions
7.3.4 SDL BeGlobal Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.3.5 SDL BeGlobal Recent Developments
7.4 Yandex Translate
7.4.1 Yandex Translate Profile
7.4.2 Yandex Translate Main Business
7.4.3 Yandex Translate Machine Translation (MT) Products, Services, and Solutions
7.4.4 Yandex Translate Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.4.5 Yandex Translate Recent Developments
7.5 Amazon Web Services translator
7.5.1 Amazon Web Services translator Profile
7.5.2 Amazon Web Services translator Main Business
7.5.3 Amazon Web Services translator Machine Translation (MT) Products, Services, and Solutions
7.5.4 Amazon Web Services translator Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.5.5 Amazon Web Services translator Recent Developments
7.6 Naver
7.6.1 Naver Profile
7.6.2 Naver Main Business
7.6.3 Naver Machine Translation (MT) Products, Services, and Solutions
7.6.4 Naver Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.6.5 Naver Recent Developments
7.7 IBM - Watson Language Translator
7.7.1 IBM - Watson Language Translator Profile
7.7.2 IBM - Watson Language Translator Main Business
7.7.3 IBM - Watson Language Translator Machine Translation (MT) Products, Services, and Solutions
7.7.4 IBM - Watson Language Translator Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.7.5 IBM - Watson Language Translator Recent Developments
7.8 Automatic Trans
7.8.1 Automatic Trans Profile
7.8.2 Automatic Trans Main Business
7.8.3 Automatic Trans Machine Translation (MT) Products, Services, and Solutions
7.8.4 Automatic Trans Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.8.5 Automatic Trans Recent Developments
7.9 BABYLON
7.9.1 BABYLON Profile
7.9.2 BABYLON Main Business
7.9.3 BABYLON Machine Translation (MT) Products, Services, and Solutions
7.9.4 BABYLON Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.9.5 BABYLON Recent Developments
7.10 CCID TransTech
7.10.1 CCID TransTech Profile
7.10.2 CCID TransTech Main Business
7.10.3 CCID TransTech Machine Translation (MT) Products, Services, and Solutions
7.10.4 CCID TransTech Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.10.5 CCID TransTech Recent Developments
7.11 CSLi
7.11.1 CSLi Profile
7.11.2 CSLi Main Business
7.11.3 CSLi Machine Translation (MT) Products, Services, and Solutions
7.11.4 CSLi Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.11.5 CSLi Recent Developments
7.12 East Linden
7.12.1 East Linden Profile
7.12.2 East Linden Main Business
7.12.3 East Linden Machine Translation (MT) Products, Services, and Solutions
7.12.4 East Linden Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.12.5 East Linden Recent Developments
7.13 Eleka Ingeniaritza Linguistikoa
7.13.1 Eleka Ingeniaritza Linguistikoa Profile
7.13.2 Eleka Ingeniaritza Linguistikoa Main Business
7.13.3 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Products, Services, and Solutions
7.13.4 Eleka Ingeniaritza Linguistikoa Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.13.5 Eleka Ingeniaritza Linguistikoa Recent Developments
7.14 GrammarSoft ApS
7.14.1 GrammarSoft ApS Profile
7.14.2 GrammarSoft ApS Main Business
7.14.3 GrammarSoft ApS Machine Translation (MT) Products, Services, and Solutions
7.14.4 GrammarSoft ApS Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.14.5 GrammarSoft ApS Recent Developments
7.15 Iconic Translation Machines
7.15.1 Iconic Translation Machines Profile
7.15.2 Iconic Translation Machines Main Business
7.15.3 Iconic Translation Machines Machine Translation (MT) Products, Services, and Solutions
7.15.4 Iconic Translation Machines Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.15.5 Iconic Translation Machines Recent Developments
7.16 K2E-PAT
7.16.1 K2E-PAT Profile
7.16.2 K2E-PAT Main Business
7.16.3 K2E-PAT Machine Translation (MT) Products, Services, and Solutions
7.16.4 K2E-PAT Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.16.5 K2E-PAT Recent Developments
7.17 KantanMT
7.17.1 KantanMT Profile
7.17.2 KantanMT Main Business
7.17.3 KantanMT Machine Translation (MT) Products, Services, and Solutions
7.17.4 KantanMT Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.17.5 KantanMT Recent Developments
7.18 Kodensha
7.18.1 Kodensha Profile
7.18.2 Kodensha Main Business
7.18.3 Kodensha Machine Translation (MT) Products, Services, and Solutions
7.18.4 Kodensha Machine Translation (MT) Revenue (US$ Million), 2021–2026
7.18.5 Kodensha Recent Developments
8 Industry Chain Analysis
8.1 Machine Translation (MT) Value Chain
8.2 Machine Translation (MT) Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Machine Translation (MT) Sales Model
8.5.2 Sales Channels
8.5.3 Machine Translation (MT) Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
Related Reports
The global Machine Translation (MT) market was valued at US$ 141 million in 2025 and is anticipated to reach US$ 182 million by 2032, at a CAGR of 3.8% from 2026 to 2032.
Published Date: 2026-04-28
Pages: 137
USD 2900.00
(Single User License)
The global Machine Translation (MT) market size was US$ 136 million in 2024 and is forecast to a readjusted size of US$ 176 million by 2031 with a CAGR of 3.8% during the forecast period 2025-2031.
Published Date: 2025-09-06
Pages: 102
USD 4250.00
(Single User License)
The global market for Machine Translation (MT) was valued at US$ 136 million in the year 2024 and is projected to reach a revised size of US$ 176 million by 2031, growing at a CAGR of 3.8% during the forecast period.
Published Date: 2025-02-27
Pages: 94
USD 2900.00
(Single User License)
The global market for Machine Translation (MT) was estimated to be worth US$ 136 million in 2024 and is forecast to a readjusted size of US$ 176 million by 2031 with a CAGR of 3.8% during the forecast period 2025-2031.
Published Date: 2025-02-27
Pages: 123
USD 3950.00
(Single User License)
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.
Published Date: 2024-01-24
Pages: 130
USD 3950.00
(Single User License)
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.
Published Date: 2024-01-04
Pages: 92
USD 2900.00
(Single User License)
The global Machine Translation (MT) market was valued at US$ 141 million in 2025 and is anticipated to reach US$ 182 million by 2032, at a CAGR of 3.8% from 2026 to 2032.
Published: 2026-04-28
Pages: 137
The global Machine Translation (MT) market size was US$ 136 million in 2024 and is forecast to a readjusted size of US$ 176 million by 2031 with a CAGR of 3.8% during the forecast period 2025-2031.
Published: 2025-09-06
Pages: 102
The global market for Machine Translation (MT) was valued at US$ 136 million in the year 2024 and is projected to reach a revised size of US$ 176 million by 2031, growing at a CAGR of 3.8% during the forecast period.
Published: 2025-02-27
Pages: 94
The global market for Machine Translation (MT) was estimated to be worth US$ 136 million in 2024 and is forecast to a readjusted size of US$ 176 million by 2031 with a CAGR of 3.8% during the forecast period 2025-2031.
Published: 2025-02-27
Pages: 123
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.
Published: 2024-01-24
Pages: 130
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.
Published: 2024-01-04
Pages: 92
REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
INTEREST IN THIS REPORT?
Get A Free Sample
Request For Quotation
OR
NEED A CUSTOMIZED REPORT?
Customized Report
Request Sample
Pre-Order Enquiry
Add to Cart
Buy Now