
Machine translation software automates the process of translating text from one language to another.Ìý
The global market for Machine Translation Software was estimated to be worth US$ 718.9 million in 2023 and is forecast to a readjusted size of US$ 1627.5 million by 2030 with a CAGR of 12.2% during the forecast period 2024-2030
North American market for Machine Translation Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Translation Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Machine Translation Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Machine Translation Software include Google, Microsoft, IBM, Yandex, Amazon Web Services, Ludwig, Babylon Software, GrammarSoft and Talkao, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Translation Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Translation Software by region & country, by Type, and by Application.
The Machine Translation Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Software.
Market Segmentation
By Company
Google
Microsoft
IBM
Yandex
Amazon Web Services
Ludwig
Babylon Software
GrammarSoft
Talkao
IdiomaX
Systran
TripLingo
OpenLogos
Texthelp
ITranslate
Segment by Type:
On-premise
Cloud-based
Segment by Application
Individual
Enterprise
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Machine Translation Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Machine Translation Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Machine Translation Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Machine Translation Software Product Introduction
1.2 Global Machine Translation Software Market Size Forecast
1.3 Machine Translation Software Market Trends & Drivers
1.3.1 Machine Translation Software Industry Trends
1.3.2 Machine Translation Software Market Drivers & Opportunity
1.3.3 Machine Translation Software Market Challenges
1.3.4 Machine Translation Software 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 Software Players Revenue Ranking (2023)
2.2 Global Machine Translation Software Revenue by Company (2019-2024)
2.3 Key Companies Machine Translation Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Translation Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Translation Software
2.6 Machine Translation Software Market Competitive Analysis
2.6.1 Machine Translation Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Translation Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Translation Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-premise
3.1.2 Cloud-based
3.2 Global Machine Translation Software Sales Value by Type
3.2.1 Global Machine Translation Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Translation Software Sales Value, by Type (2019-2030)
3.2.3 Global Machine Translation Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Individual
4.1.2 Enterprise
4.1.3 Others
4.2 Global Machine Translation Software Sales Value by Application
4.2.1 Global Machine Translation Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Translation Software Sales Value, by Application (2019-2030)
4.2.3 Global Machine Translation Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Translation Software Sales Value by Region
5.1.1 Global Machine Translation Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Translation Software Sales Value by Region (2019-2024)
5.1.3 Global Machine Translation Software Sales Value by Region (2025-2030)
5.1.4 Global Machine Translation Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Translation Software Sales Value, 2019-2030
5.2.2 North America Machine Translation Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Translation Software Sales Value, 2019-2030
5.3.2 Europe Machine Translation Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Translation Software Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Translation Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Translation Software Sales Value, 2019-2030
5.5.2 South America Machine Translation Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Translation Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Translation Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Translation Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Translation Software Sales Value
6.3 United States
6.3.1 United States Machine Translation Software Sales Value, 2019-2030
6.3.2 United States Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Translation Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Translation Software Sales Value, 2019-2030
6.4.2 Europe Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Translation Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Translation Software Sales Value, 2019-2030
6.5.2 China Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Translation Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Translation Software Sales Value, 2019-2030
6.6.2 Japan Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Translation Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Translation Software Sales Value, 2019-2030
6.7.2 South Korea Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Translation Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Translation Software Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Translation Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Translation Software Sales Value, 2019-2030
6.9.2 India Machine Translation Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Translation Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google Machine Translation Software Products, Services and Solutions
7.1.4 Google Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft Machine Translation Software Products, Services and Solutions
7.2.4 Microsoft Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM Machine Translation Software Products, Services and Solutions
7.3.4 IBM Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.3.5 Yandex Recent Developments
7.4 Yandex
7.4.1 Yandex Profile
7.4.2 Yandex Main Business
7.4.3 Yandex Machine Translation Software Products, Services and Solutions
7.4.4 Yandex Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.4.5 Yandex Recent Developments
7.5 Amazon Web Services
7.5.1 Amazon Web Services Profile
7.5.2 Amazon Web Services Main Business
7.5.3 Amazon Web Services Machine Translation Software Products, Services and Solutions
7.5.4 Amazon Web Services Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.5.5 Amazon Web Services Recent Developments
7.6 Ludwig
7.6.1 Ludwig Profile
7.6.2 Ludwig Main Business
7.6.3 Ludwig Machine Translation Software Products, Services and Solutions
7.6.4 Ludwig Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.6.5 Ludwig Recent Developments
7.7 Babylon Software
7.7.1 Babylon Software Profile
7.7.2 Babylon Software Main Business
7.7.3 Babylon Software Machine Translation Software Products, Services and Solutions
7.7.4 Babylon Software Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.7.5 Babylon Software Recent Developments
7.8 GrammarSoft
7.8.1 GrammarSoft Profile
7.8.2 GrammarSoft Main Business
7.8.3 GrammarSoft Machine Translation Software Products, Services and Solutions
7.8.4 GrammarSoft Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.8.5 GrammarSoft Recent Developments
7.9 Talkao
7.9.1 Talkao Profile
7.9.2 Talkao Main Business
7.9.3 Talkao Machine Translation Software Products, Services and Solutions
7.9.4 Talkao Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.9.5 Talkao Recent Developments
7.10 IdiomaX
7.10.1 IdiomaX Profile
7.10.2 IdiomaX Main Business
7.10.3 IdiomaX Machine Translation Software Products, Services and Solutions
7.10.4 IdiomaX Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.10.5 IdiomaX Recent Developments
7.11 Systran
7.11.1 Systran Profile
7.11.2 Systran Main Business
7.11.3 Systran Machine Translation Software Products, Services and Solutions
7.11.4 Systran Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.11.5 Systran Recent Developments
7.12 TripLingo
7.12.1 TripLingo Profile
7.12.2 TripLingo Main Business
7.12.3 TripLingo Machine Translation Software Products, Services and Solutions
7.12.4 TripLingo Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.12.5 TripLingo Recent Developments
7.13 OpenLogos
7.13.1 OpenLogos Profile
7.13.2 OpenLogos Main Business
7.13.3 OpenLogos Machine Translation Software Products, Services and Solutions
7.13.4 OpenLogos Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.13.5 OpenLogos Recent Developments
7.14 Texthelp
7.14.1 Texthelp Profile
7.14.2 Texthelp Main Business
7.14.3 Texthelp Machine Translation Software Products, Services and Solutions
7.14.4 Texthelp Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.14.5 Texthelp Recent Developments
7.15 ITranslate
7.15.1 ITranslate Profile
7.15.2 ITranslate Main Business
7.15.3 ITranslate Machine Translation Software Products, Services and Solutions
7.15.4 ITranslate Machine Translation Software Revenue (US$ Million) & (2019-2024)
7.15.5 ITranslate Recent Developments
8 Industry Chain Analysis
8.1 Machine Translation Software Industrial Chain
8.2 Machine Translation Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Machine Translation Software Sales Model
8.5.2 Sales Channel
8.5.3 Machine Translation Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Google
Microsoft
IBM
Yandex
Amazon Web Services
Ludwig
Babylon Software
GrammarSoft
Talkao
IdiomaX
Systran
TripLingo
OpenLogos
Texthelp
ITranslate
Ìý
Ìý
*If Applicable.
