Press release
A Deep Dive into AI in Language Translation Market 2025: Key Drivers, Growth Factors, and Projections 2025-2034
AI In Language Translation
The surge in e-commerce is anticipated to fuel the expansion of the AI in language translation market. E-commerce consists of online buying and selling of products and services, covering a range of internet-based business models. It permits dealings between businesses, consumers, and other parties via digital avenues. E-commerce is on the rise due to the increasing accessibility of the internet and smartphones, the rising consumer inclination towards online shopping, advancements in payment and logistics solutions, and the convenience of home-based shopping. AI-powered language translation enriches e-commerce by facilitating correct and efficient communication in multiple languages, thus improving the customer experience and extending global reach. For example, the Census Bureau of the Department of Commerce, a US government division, reported that in the first quarter of 2024, U.S. retail e-commerce sales amounted to $289.2 billion, a 2.1% (0.7%) increase from the last quarter of 2023. Therefore, the uptake in online shopping and the rise of e-commerce platforms are catalysts for the growth of the AI in language translation market.
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What is the future CAGR of the ai in language translation market, and how will it impact industry expansion?
In recent periods, the growth of the AI in language translation market has been exponential. Its growth is projected to rise from $2.34 billion in 2024 to $2.94 billion in 2025, with a compound annual growth rate (CAGR) of 25.2%. The expansion during the historical period can be traced back to progress in machine learning and neural networks, the surge in globalization, the emergence of natural language processing (NLP) technologies, the expansion of the Internet and digital content, along with the enhancements in computational capability and cloud computing.
The projected size of the AI in language translation market is anticipated to experience a massive expansion in the coming years. By 2029, its value is predicted to reach $7.16 billion, with a compound annual growth rate (CAGR) of 25.0%. This expected escalation during the forecast period can be attributed to factors such as rising globalization, enhancements in natural language processing (NLP), a growing need for multilingual customer service, integration with other forms of technology, and the growth of e-commerce. Key trends between now and the forecast period are anticipated to be the growing adoption of neural machine translation (NMT), the development of multilingual competencies, integration with voice acknowledgement and speech-to-text technologies, growth in global business and e-commerce, as well as personalized and context-sensitive translations.
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What are the most significant trends transforming the ai in language translation market today?
Top firms in the AI in language translation sector are concentrating on creating cutting-edge products, such as customizable language translators, in order to stand out in the marketplace. Customizable language translators are AI-powered or software-based mechanisms that can be altered to cater to certain requirements, such as adjusting to specialized industry lingo, regional dialects, or personal user choices. For example, Smartling Inc., an American translation corporation, unveiled its AI Translation Toolkit in May 2024. This inclusive solution is created to enhance translation precision, lower expenses, and decrease delivery times. The kit includes several sophisticated features, such as AI Translation Memory, which boosts translation memory capabilities by as much as 35 percentage points, leading to substantial client savings. In addition, the AI Glossary Term Insertion feature guarantees the proper and grammatical use of glossary words while also automating the content cleanup process to reduce mistakes.
Which key market segments comprise the ai in language translation market and drive its revenue growth?
The AI in language translationmarket covered in this report is segmented -
1) By Component: Software, Services
2) By Deployment Mode: Cloud-Based, On-Premise
3) By End-Use: Commercial Use, Personal Use
Subsegments:
1) By Software: Machine Translation Software, Neural Machine Translation (NMT) Software, Statistical Machine Translation (SMT) Software, Rule-Based Machine Translation Software, Cloud-Based Translation Software, Translation Memory Software, Post-Editing Software, AI-Powered Language Translation Apps
2) By Services: Translation As A Service (TaaS), AI-Powered Language Localization Services, Language Model Training Services, Post-Editing And Proofreading Services, Data Annotation Services, Consulting And Customization Services, Multilingual Support Services, Cloud Translation Platform Integration Services
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What regions are at the forefront of ai in language translation market expansion?
North America was the largest region in the AI in language translation market in 2024. The regions covered in the AI in language translation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the leading players fueling growth in the ai in language translation market?
Major companies operating in the AI in language translation market are Google LLC, Microsoft Corporation, Alibaba Group Holding Limited, Tencent Holdings Ltd., Amazon Web Services Inc., International Business Machines Corporation, Baidu Inc., Zebra Technologies, iFLYTEK, TransPerfect, Sogou Inc., Lionbridge, Appen Limited, DeepL, ABBYY LLC, Unbabel, Smartling, PhraseApp, SYSTRAN, Tilde, Lilt, Language I/O, Pangeanic, VerbalizeIt
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What Is Covered In The AI in Language Translation Global Market Report?
•Market Size Forecast: Examine the ai in language translation market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the ai in language translation market for a structured understanding.
•Key Players Overview: Analyze major players in the ai in language translation market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in language translation market.
•Segment Contributions: Evaluate how different segments drive overall growth in the ai in language translation market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in language translation market.
•Industry Challenges: Identify potential risks and obstacles affecting the ai in language translation market.
•Competitive Landscape: Review strategic developments in the ai in language translation market, including expansions, agreements, and new product launches.
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