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Machine Translation Industry Market

Global And Chinese Machine Translation (MT) Industry, 2018 Market Research Report

  • Published Date : 21 May 2018
  • Reports Monitor
  • Category : ICT Media
  • Pages : 140

Machine translation is a translation carried out by a computer with no human involvement. Machine translation is a system application which uses machine-learning technologies to transform large text from and to any of the supported language as defined by the user. 

Market Scenario:
The increasing demand for content localization and growing volume of big data across various industries are the major factors for the growing machine translation market. This increase in volume of big data is generating the need for cost-efficient and high-speed translation. As a result many small and large firms are switching from traditional way to digital technologies which is driving the growth of market.

However, machine translation follows some systematic structures so certain custom solutions remain unsolved in this regard also it is unable to translate from different file formats which creates a limit in the growth of the market.

Further, the increasing demand for post-editing machine translation services can be seen as a great opportunity in the machine translation market.

Market Segmentation:
The machine translation market is segmented on the basis of application and technologies. Based of application, the machine translation market can be segmented into automotive, healthcare, electronics, information technology, e-commerce and others. Based on technologies, the market can be segmented into rule-based machine translation (RBMT), statistical machine translation (SMT) and others. 

Regional Analysis:
Based on the geographical regions covered, the machine translation market is analysed across: North America, Europe, Asia Pacific and LAMEA (Latin America, Middle East and Africa). The Northern America translation industry is anticipated to grow as number of government initiatives and service providers in the area are expected to increase. 

Key Players:
The major players operating the machine learning market are SYSTRAN, Lionbridge, Lighthouse IP, Lingotek, Cloudwords Inc, SDL PLC and Moravia IT.

The Global Machine Translation Market Segmentation:
By Application

• Automotive
• Healthcare
• Electronics
• Information Technology
• E-Commerce
• Others

By Technologies
• Rule-Based Machine Translation (RBMT)
• Statistical Machine Translation (SMT) 
• Others

By Geography
• North America
o U.S.
o Canada
o Mexico

• Europe
o UK
o Germany
o France
o Spain
o Italy
o Rest of Europe

• Asia-Pacific
o China
o Japan
o India
o Singapore
o South Korea
o Rest of Asia-Pacific

o Latin America
o Middle East
o Africa

Market Players:
• Lionbridge
• Lighthouse IP
• Lingotek
• Cloudwords Inc.
• Moravia IT

The study for Machine Translation Market will provide market size, estimates and forecast based on the following years: 
Historic data: 2015  Base Year Estimate: 2016  Forecast: 2017 to 2025
The report has been categorized in two distinctive sections, where the first category titled as Market Overview provides a holistic view of the market, key trends, drivers, challenges/restraints or opportunities with their current and expected impact on the overall industry sales. 

Our analyst implement, several qualitative tools such as Ansoff’s Matrix, PESTEL analysis, Porter’s five force analysis among other to interpret and represent key industry findings. 

The second section of the study provides market size, estimates and forecast for key market segments and regional market. The final part of the report highlights key manufacturers/vendors operating in the associated market. 

1. Introduction
1.1. Market Definition
1.2. Market Scope

2. Research Methodology
2.1. Primary Research
2.2. Secondary Sources
2.3. Assumptions & Exclusions

3. Market Overview
3.1. Research Report Segmentation & Scope
3.2. Machine Translation  - Value Chain Analysis 
3.3. Key Market Trend Analysis
3.3.1. Market Drivers
3.3.2. Market Restraint/Challenges
3.3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Potential Venture Avenues
3.6. Market Share Analysis, 2016 
3.7. Market Overview – Machine Translation , Product Landscape

4. Segmentation Overview
4.1. Introduction 
4.2. Market Size & Forecast, 2015 to 2025
4.2.1. By Application Automotive Healthcare Electronics Information Technology E-Commerce Others
4.2.2. By Technologies Rule-Based Machine Translation (RBMT) Statistical Machine Translation (SMT) Others
(Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)

5. Regional Overview
5.1. Introduction

5.2. Market Size & Forecast, 2015 to 2025

5.2.1. North America U.S. Canada Mexico 

5.2.2. Europe UK Germany France Italy Spain Rest of Europe

5.2.3. Asia Pacific China India Japan Australia South Korea Rest of Asia Pacific 

5.2.4. LAMEA Brazil UAE South Africa Rest of LAMEA 

 (Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)

6. Manufacturer/ Vendor Profile
6.1. The following attributes will be considered while profiling key manufacturers in this industry: 

6.1.1. Company Overview

6.6.2. Financial Synopsis

6.6.3. Recent Developments

6.6.4. R&D Investments (if any)

6.6.5. Strategy Overview (Analyst Perspective)

6.6.6. Product Portfolio

6.2. Companies Profiled

6.2.1. SYSTRAN

6.2.2. Lionbridge

6.2.3. Lighthouse IP

6.2.4. Lingotek

6.2.5. Cloudwords Inc.

6.2.6. SDL PLC

6.2.7. Moravia IT

(Note: The companies mentioned above are tentative in nature, and profiles of other market players not listed here can be included on request.) 


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