Global Machine Translation (MT) Market Report 2019, Competitive Landscape, Trends and Opportunities

The Machine Translation (MT) market has witnessed growth from USD XX million to USD XX million from 2014 to 2019. With the CAGR of X.X%, this market is estimated to reach USD XX million in 2026.

The report mainly studies the size, recent trends and development status of the Machine Translation (MT) market, as well as investment opportunities, government policy, market dynamics (drivers, restraints, opportunities), supply chain and competitive landscape. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Porter's Five Forces Analysis (potential entrants, suppliers, substitutes, buyers, industry competitors) provides crucial information for knowing the Machine Translation (MT) market.

Major players in the global Machine Translation (MT) market include:
Venga Global
TransPerfect Translations International Inc.
Lionbridge Technologies, Inc.
SYSTRAN
Microsoft Corporation
International Business Machines Corporation (IBM)
Google Inc.
Honyaku Center Inc.
PROMT Ltd.
SDL Plc.

On the basis of types, the Machine Translation (MT) market is primarily split into:
Rule-Based Machine Translation (RBMT)
Statistical Machine Translation (SMT)
Others

On the basis of applications, the market covers:
Automotive
Military & Defense
Electronics
IT
Healthcare

Geographically, the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2014-2026) of the following regions:
United States
Europe (Germany, UK, France, Italy, Spain, Russia, Poland)
China
Japan
India
Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam)
Central and South America (Brazil, Mexico, Colombia)
Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria)
Other Regions

Chapter 1 provides an overview of Machine Translation (MT) market, containing global revenue, global production, sales, and CAGR. The forecast and analysis of Machine Translation (MT) market by type, application, and region are also presented in this chapter.

Chapter 2 is about the market landscape and major players. It provides competitive situation and market concentration status along with the basic information of these players.

Chapter 3 provides a full-scale analysis of major players in Machine Translation (MT) industry. The basic information, as well as the profiles, applications and specifications of products market performance along with Business Overview are offered.

Chapter 4 gives a worldwide view of Machine Translation (MT) market. It includes production, market share revenue, price, and the growth rate by type.

Chapter 5 focuses on the application of Machine Translation (MT), by analyzing the consumption and its growth rate of each application.

Chapter 6 is about production, consumption, export, and import of Machine Translation (MT) in each region.

Chapter 7 pays attention to the production, revenue, price and gross margin of Machine Translation (MT) in markets of different regions. The analysis on production, revenue, price and gross margin of the global market is covered in this part.

Chapter 8 concentrates on manufacturing analysis, including key raw material analysis, cost structure analysis and process analysis, making up a comprehensive analysis of manufacturing cost.

Chapter 9 introduces the industrial chain of Machine Translation (MT). Industrial chain analysis, raw material sources and downstream buyers are analyzed in this chapter.

Chapter 10 provides clear insights into market dynamics.

Chapter 11 prospects the whole Machine Translation (MT) market, including the global production and revenue forecast, regional forecast. It also foresees the Machine Translation (MT) market by type and application.

Chapter 12 concludes the research findings and refines all the highlights of the study.

Chapter 13 introduces the research methodology and sources of research data for your understanding.

Years considered for this report:
Historical Years: 2014-2018
Base Year: 2019
Estimated Year: 2019
Forecast Period: 2019-2026