1h Free Analyst Time
The language translation software market is forecasted to grow by USD 8.90 billion during 2023-2028, accelerating at a CAGR of 14.7% during the forecast period. The report on the language translation software market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increased adoption of mobile translation solutions, globalization of businesses, and technology adoption to enhance language translation process efficiency.
The language translation software market is segmented as below:
By Solution
- Rule-based machine translation
- Statistical-based machine translation
- Hybrid machine translation
- Others
By Geographical Landscape
- North America
- Europe
- APAC
- South America
- Middle East and Africa
The report on the language translation software market covers the following areas:
- Language Translation Software Market sizing
- Language Translation Software Market forecast
- Language Translation Software Market industry analysis
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Solution
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Opportunity/Restraints
10 Competitive Landscape
11 Competitive Analysis
12 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global language translation software market: Acolad Group, Alphabet Inc., AppTek, Babylon Software Ltd., Global Linguist Solutions LLC, Inriver AB, International Business Machines Corp., Language Engineering Co., LanguageLine Solutions, Lingotek Inc., Lionbridge Technologies LLC, MateCat, Memsource AS, Microsoft Corp., RR Donnelley and Sons Co., RWS Holdings PLC, Stepes, SYSTRAN SA, thebigword Group Ltd., and Transifex .Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is growing demand for cloud-based language translation software offerings."
According to the report, one of the major drivers for this market is the increased adoption of mobile translation solutions.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Acolad Group
- Alphabet Inc.
- AppTek
- Babylon Software Ltd.
- Global Linguist Solutions LLC
- Inriver AB
- International Business Machines Corp.
- Language Engineering Co.
- LanguageLine Solutions
- Lingotek Inc.
- Lionbridge Technologies LLC
- MateCat
- Memsource AS
- Microsoft Corp.
- RR Donnelley and Sons Co.
- RWS Holdings PLC
- Stepes
- SYSTRAN SA
- thebigword Group Ltd.
- Transifex
