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The global machine translation market grew at a CAGR of around 14% during 2015-2020. Machine translation (MT) refers to a sub-field of computational linguistics that translates source content into target languages. It is a fully automated software, which allows customization and enhances the overall output by limiting the scope of permissible substitutions. It is useful in domains wherein formal or formulaic language is employed. MT can work without human intervention to translate considerable amounts of information that cannot be translated conventionally. At present, the growth of adaptive machine translation, along with the reinvention of computer-aided translational tools, is offering lucrative opportunities to leading players in the industry.

The rising popularity of cloud-based applications represents one of the key factors strengthening the growth of the market. Cloud technology provides access to different services via cloud servers, thereby eliminating the need to invest in in-house hardware development or installations. Moreover, the increasing requirement of organizations to localize their content in different languages and capture international markets is positively influencing the sales of MT solutions across the globe. Furthermore, key players are focusing on the development of advanced MT solutions to expand their product portfolio. For instance, Lilt Inc., an Artificial Intelligence (AI) powered language service provider, recently launched an adaptive neural machine translation system to utilize a real-time feedback loop and enhance the productivity of a human translator. Besides this, machine translation services are being developed to disseminate healthcare information regarding the ongoing coronavirus disease (COVID-19) pandemic in various regional languages. Looking forward, IMARC Group expects the global machine translation market to exhibit strong growth during the next five years.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global machine translation market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, technology type, deployment type and application.

Breakup by Technology Type:

Statistical Machine Translation (SMT)
Rule-Based Machine Translation (RBMT)
Neural Machine Translation
Others

Breakup by Deployment Type:

On-Premises
Cloud-Based

Breakup by Application:

BFSI
Automotive
Electronics
Healthcare
IT and Telecommunications
Military and Defense
Others

Breakup by Region:

North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being Applications Technology Inc., Asia Online Pte Ltd., Cloudwords Inc., International Business Machines Corporation, Lionbridge Technologies Inc., Pangeanic, Raytheon Technologies Corporation, SDL Plc (RWS Holdings Plc), Smart Communications Inc. (PLDT Inc.), Systran and Welocalize Inc.

Key Questions Answered in This Report:

How has the global machine translation market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global machine translation market?
What are the key regional markets?
What is the breakup of the market based on the technology type?
What is the breakup of the market based on the deployment type?
What is the breakup of the market based on the application?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global machine translation market and who are the key players?
What is the degree of competition in the industry?

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目次

1 Preface
2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Machine Translation Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast
6 Market Breakup by Technology Type
6.1 Statistical Machine Translation (SMT)
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Rule-Based Machine Translation (RBMT)
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Neural Machine Translation
6.3.1 Market Trends
6.3.2 Market Forecast
6.4 Others
6.4.1 Market Trends
6.4.2 Market Forecast
7 Market Breakup by Deployment Type
7.1 On-Premises
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Cloud-Based
7.2.1 Market Trends
7.2.2 Market Forecast
8 Market Breakup by Application
8.1 BFSI
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Automotive
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 Electronics
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Healthcare
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 IT and Telecommunications
8.5.1 Market Trends
8.5.2 Market Forecast
8.6 Military and Defense
8.6.1 Market Trends
8.6.2 Market Forecast
8.7 Others
8.7.1 Market Trends
8.7.2 Market Forecast
9 Market Breakup by Region
9.1 North America
9.1.1 United States
9.1.1.1 Market Trends
9.1.1.2 Market Forecast
9.1.2 Canada
9.1.2.1 Market Trends
9.1.2.2 Market Forecast
9.2 Asia-Pacific
9.2.1 China
9.2.1.1 Market Trends
9.2.1.2 Market Forecast
9.2.2 Japan
9.2.2.1 Market Trends
9.2.2.2 Market Forecast
9.2.3 India
9.2.3.1 Market Trends
9.2.3.2 Market Forecast
9.2.4 South Korea
9.2.4.1 Market Trends
9.2.4.2 Market Forecast
9.2.5 Australia
9.2.5.1 Market Trends
9.2.5.2 Market Forecast
9.2.6 Indonesia
9.2.6.1 Market Trends
9.2.6.2 Market Forecast
9.2.7 Others
9.2.7.1 Market Trends
9.2.7.2 Market Forecast
9.3 Europe
9.3.1 Germany
9.3.1.1 Market Trends
9.3.1.2 Market Forecast
9.3.2 France
9.3.2.1 Market Trends
9.3.2.2 Market Forecast
9.3.3 United Kingdom
9.3.3.1 Market Trends
9.3.3.2 Market Forecast
9.3.4 Italy
9.3.4.1 Market Trends
9.3.4.2 Market Forecast
9.3.5 Spain
9.3.5.1 Market Trends
9.3.5.2 Market Forecast
9.3.6 Russia
9.3.6.1 Market Trends
9.3.6.2 Market Forecast
9.3.7 Others
9.3.7.1 Market Trends
9.3.7.2 Market Forecast
9.4 Latin America
9.4.1 Brazil
9.4.1.1 Market Trends
9.4.1.2 Market Forecast
9.4.2 Mexico
9.4.2.1 Market Trends
9.4.2.2 Market Forecast
9.4.3 Others
9.4.3.1 Market Trends
9.4.3.2 Market Forecast
9.5 Middle East and Africa
9.5.1 Market Trends
9.5.2 Market Breakup by Country
9.5.3 Market Forecast
10 SWOT Analysis
10.1 Overview
10.2 Strengths
10.3 Weaknesses
10.4 Opportunities
10.5 Threats
11 Value Chain Analysis
12 Porters Five Forces Analysis
12.1 Overview
12.2 Bargaining Power of Buyers
12.3 Bargaining Power of Suppliers
12.4 Degree of Competition
12.5 Threat of New Entrants
12.6 Threat of Substitutes
13 Price Analysis
14 Competitive Landscape
14.1 Market Structure
14.2 Key Players
14.3 Profiles of Key Players
14.3.1 Applications Technology Inc.
14.3.1.1 Company Overview
14.3.1.2 Product Portfolio
14.3.2 Asia Online Pte Ltd.
14.3.2.1 Company Overview
14.3.2.2 Product Portfolio
14.3.3 Cloudwords Inc.
14.3.3.1 Company Overview
14.3.3.2 Product Portfolio
14.3.4 International Business Machines Corporation
14.3.4.1 Company Overview
14.3.4.2 Product Portfolio
14.3.4.3 Financials
14.3.4.4 SWOT Analysis
14.3.5 Lionbridge Technologies Inc.
14.3.5.1 Company Overview
14.3.5.2 Product Portfolio
14.3.6 Pangeanic
14.3.6.1 Company Overview
14.3.6.2 Product Portfolio
14.3.6.3 Financials
14.3.7 Raytheon Technologies Corporation
14.3.7.1 Company Overview
14.3.7.2 Product Portfolio
14.3.7.3 Financials
14.3.7.4 SWOT Analysis
14.3.8 SDL Plc (RWS Holdings Plc)
14.3.8.1 Company Overview
14.3.8.2 Product Portfolio
14.3.8.3 Financials
14.3.9 Smart Communications Inc. (PLDT Inc.)
14.3.9.1 Company Overview
14.3.9.2 Product Portfolio
14.3.10 Systran
14.3.10.1 Company Overview
14.3.10.2 Product Portfolio
14.3.10.3 Financials
14.3.11 Welocalize Inc.
14.3.11.1 Company Overview
14.3.11.2 Product Portfolio