Machine Translation (MT) System - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510240787

Publication Date:

October 1, 2024

Pages:

109

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Machine translation (also known as MT) is a fully automated process of translating content from one language into another using machine translation engines.
The global market for Machine Translation (MT) System 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
Machine Translation (MT) has been around for decades. In recent years, it has evolved at an exponential rate. As companies produce ever-growing amounts of content in different languages, they have come to see MT as an opportunity to extend their reach in an increasingly globalized world.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Translation (MT) System, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Translation (MT) System by region & country, by Type, and by Application.
The Machine Translation (MT) System 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 (MT) System.
Market Segmentation
By Company
Google
Microsoft
Amazon
DeepL
AppTek
Yandex
Asia Online Pte Ltd.
Cloudwords Inc.
IBM Corporation
Lighthouse IP Group
Lingo24 Ltd.
Lingotek Inc.
Lionbridge Technologies Inc.
Segment by Type:
Statistical Machine Translation (SMT)
Rule-based Machine Translation (RBMT)
Hybrid Machine Translation
Neural Machine Translation
Segment by Application
Automotive
Military & Defense
Electronics
Healthcare
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 (MT) System 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 (MT) System 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 (MT) System 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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Table Of Contents:

1 Market Overview
1.1 Machine Translation (MT) System Product Introduction
1.2 Global Machine Translation (MT) System Market Size Forecast
1.3 Machine Translation (MT) System Market Trends & Drivers
1.3.1 Machine Translation (MT) System Industry Trends
1.3.2 Machine Translation (MT) System Market Drivers & Opportunity
1.3.3 Machine Translation (MT) System Market Challenges
1.3.4 Machine Translation (MT) System 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) System Players Revenue Ranking (2023)
2.2 Global Machine Translation (MT) System Revenue by Company (2019-2024)
2.3 Key Companies Machine Translation (MT) System Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Translation (MT) System Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Translation (MT) System
2.6 Machine Translation (MT) System Market Competitive Analysis
2.6.1 Machine Translation (MT) System Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Translation (MT) System 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 (MT) System as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Statistical Machine Translation (SMT)
3.1.2 Rule-based Machine Translation (RBMT)
3.1.3 Hybrid Machine Translation
3.1.4 Neural Machine Translation
3.2 Global Machine Translation (MT) System Sales Value by Type
3.2.1 Global Machine Translation (MT) System Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Translation (MT) System Sales Value, by Type (2019-2030)
3.2.3 Global Machine Translation (MT) System Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Automotive
4.1.2 Military & Defense
4.1.3 Electronics
4.1.4 Healthcare
4.1.5 Others
4.2 Global Machine Translation (MT) System Sales Value by Application
4.2.1 Global Machine Translation (MT) System Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Translation (MT) System Sales Value, by Application (2019-2030)
4.2.3 Global Machine Translation (MT) System Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Translation (MT) System Sales Value by Region
5.1.1 Global Machine Translation (MT) System Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Translation (MT) System Sales Value by Region (2019-2024)
5.1.3 Global Machine Translation (MT) System Sales Value by Region (2025-2030)
5.1.4 Global Machine Translation (MT) System Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Translation (MT) System Sales Value, 2019-2030
5.2.2 North America Machine Translation (MT) System Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Translation (MT) System Sales Value, 2019-2030
5.3.2 Europe Machine Translation (MT) System Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Translation (MT) System Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Translation (MT) System Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Translation (MT) System Sales Value, 2019-2030
5.5.2 South America Machine Translation (MT) System Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Translation (MT) System Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Translation (MT) System Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Translation (MT) System Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Translation (MT) System Sales Value
6.3 United States
6.3.1 United States Machine Translation (MT) System Sales Value, 2019-2030
6.3.2 United States Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Translation (MT) System Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Translation (MT) System Sales Value, 2019-2030
6.4.2 Europe Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Translation (MT) System Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Translation (MT) System Sales Value, 2019-2030
6.5.2 China Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Translation (MT) System Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Translation (MT) System Sales Value, 2019-2030
6.6.2 Japan Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Translation (MT) System Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Translation (MT) System Sales Value, 2019-2030
6.7.2 South Korea Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Translation (MT) System Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Translation (MT) System Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Translation (MT) System Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Translation (MT) System Sales Value, 2019-2030
6.9.2 India Machine Translation (MT) System Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Translation (MT) System 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 (MT) System Products, Services and Solutions
7.1.4 Google Machine Translation (MT) System 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 (MT) System Products, Services and Solutions
7.2.4 Microsoft Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 Amazon
7.3.1 Amazon Profile
7.3.2 Amazon Main Business
7.3.3 Amazon Machine Translation (MT) System Products, Services and Solutions
7.3.4 Amazon Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.3.5 DeepL Recent Developments
7.4 DeepL
7.4.1 DeepL Profile
7.4.2 DeepL Main Business
7.4.3 DeepL Machine Translation (MT) System Products, Services and Solutions
7.4.4 DeepL Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.4.5 DeepL Recent Developments
7.5 AppTek
7.5.1 AppTek Profile
7.5.2 AppTek Main Business
7.5.3 AppTek Machine Translation (MT) System Products, Services and Solutions
7.5.4 AppTek Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.5.5 AppTek Recent Developments
7.6 Yandex
7.6.1 Yandex Profile
7.6.2 Yandex Main Business
7.6.3 Yandex Machine Translation (MT) System Products, Services and Solutions
7.6.4 Yandex Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.6.5 Yandex Recent Developments
7.7 Asia Online Pte Ltd.
7.7.1 Asia Online Pte Ltd. Profile
7.7.2 Asia Online Pte Ltd. Main Business
7.7.3 Asia Online Pte Ltd. Machine Translation (MT) System Products, Services and Solutions
7.7.4 Asia Online Pte Ltd. Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.7.5 Asia Online Pte Ltd. Recent Developments
7.8 Cloudwords Inc.
7.8.1 Cloudwords Inc. Profile
7.8.2 Cloudwords Inc. Main Business
7.8.3 Cloudwords Inc. Machine Translation (MT) System Products, Services and Solutions
7.8.4 Cloudwords Inc. Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.8.5 Cloudwords Inc. Recent Developments
7.9 IBM Corporation
7.9.1 IBM Corporation Profile
7.9.2 IBM Corporation Main Business
7.9.3 IBM Corporation Machine Translation (MT) System Products, Services and Solutions
7.9.4 IBM Corporation Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.9.5 IBM Corporation Recent Developments
7.10 Lighthouse IP Group
7.10.1 Lighthouse IP Group Profile
7.10.2 Lighthouse IP Group Main Business
7.10.3 Lighthouse IP Group Machine Translation (MT) System Products, Services and Solutions
7.10.4 Lighthouse IP Group Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.10.5 Lighthouse IP Group Recent Developments
7.11 Lingo24 Ltd.
7.11.1 Lingo24 Ltd. Profile
7.11.2 Lingo24 Ltd. Main Business
7.11.3 Lingo24 Ltd. Machine Translation (MT) System Products, Services and Solutions
7.11.4 Lingo24 Ltd. Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.11.5 Lingo24 Ltd. Recent Developments
7.12 Lingotek Inc.
7.12.1 Lingotek Inc. Profile
7.12.2 Lingotek Inc. Main Business
7.12.3 Lingotek Inc. Machine Translation (MT) System Products, Services and Solutions
7.12.4 Lingotek Inc. Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.12.5 Lingotek Inc. Recent Developments
7.13 Lionbridge Technologies Inc.
7.13.1 Lionbridge Technologies Inc. Profile
7.13.2 Lionbridge Technologies Inc. Main Business
7.13.3 Lionbridge Technologies Inc. Machine Translation (MT) System Products, Services and Solutions
7.13.4 Lionbridge Technologies Inc. Machine Translation (MT) System Revenue (US$ Million) & (2019-2024)
7.13.5 Lionbridge Technologies Inc. Recent Developments
8 Industry Chain Analysis
8.1 Machine Translation (MT) System Industrial Chain
8.2 Machine Translation (MT) System 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 (MT) System Sales Model
8.5.2 Sales Channel
8.5.3 Machine Translation (MT) System 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

Companies Mentioned:

Google
Microsoft
Amazon
DeepL
AppTek
Yandex
Asia Online Pte Ltd.
Cloudwords Inc.
IBM Corporation
Lighthouse IP Group
Lingo24 Ltd.
Lingotek Inc.
Lionbridge Technologies Inc.

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