Global Machine Translation (MT) Market Growth (Status and Outlook) 2024-2030
According to our LPI (LP Information) latest study, the global Machine Translation (MT) market size was valued at US$ 120.4 million in 2023. With growing demand in downstream market, the Machine Translation (MT) is forecast to a readjusted size of US$ 157.8 million by 2030 with a CAGR of 3.9% during review period.
The research report highlights the growth potential of the global Machine Translation (MT) market. Machine Translation (MT) are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Machine Translation (MT). Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Machine Translation (MT) market.
Machine translation (MT) refers to fully automated software that can translate source content into target languages. Humans may use MT to help them render text and speech into another language, or the MT software may operate without human intervention. MT tools are often used to translate vast amounts of information involving millions of words that could not possibly be translated the traditional way. The quality of MT output can vary considerably; MT systems require “training” in the desired domain and language pair to increase quality. Translation companies use MT to augment productivity of their translators, cut costs, and provide post-editing services to clients. MT use by language service providers is growing quickly. In 2016, SDL—one of the largest translation companies in the world—announced it translates 20 times more content with MT than with human teams.
Key Features:
The report on Machine Translation (MT) market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the Machine Translation (MT) market. It may include historical data, market segmentation by Type (e.g., Generic MT, Customizable MT), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Machine Translation (MT) market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Machine Translation (MT) market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Machine Translation (MT) industry. This include advancements in Machine Translation (MT) technology, Machine Translation (MT) new entrants, Machine Translation (MT) new investment, and other innovations that are shaping the future of Machine Translation (MT).
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Machine Translation (MT) market. It includes factors influencing customer ' purchasing decisions, preferences for Machine Translation (MT) product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Machine Translation (MT) market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Machine Translation (MT) market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Machine Translation (MT) market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Machine Translation (MT) industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Machine Translation (MT) market.
Market Segmentation:
Machine Translation (MT) market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Generic MT
Customizable MT
Adaptive MT
Segmentation by application
Healthcare
Automotive
Military & Defense
IT
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Google Translate
Microsoft Translator / Bing
SDL BeGlobal
Yandex Translate
Amazon Web Services translator
Naver
IBM - Watson Language Translator
Automatic Trans
BABYLON
CCID TransTech
CSLi
East Linden
Eleka Ingeniaritza Linguistikoa
GrammarSoft ApS
Iconic Translation Machines
K2E-PAT
KantanMT
Kodensha
Please note: The report will take approximately 2 business days to prepare and deliver.