Language translation NLP - South Korea

The market size in the Language translation NLP market is projected to reach US$157.35m in 2025.
The market size is expected to show an annual growth rate (CAGR 2025-2030) of 25.06%, resulting in a market volume of US$481.28m by 2030.
In global comparison, the largest market size will be United States (US$2.39bn in 2025).

Definition:
The Language Translation Natural Language Processing (NLP) market covers/encompasses applications that convey the meaning/content of a text from one language into another language and includes systems that can understand the nuances of different languages and accurately translate them into other languages. The Language Translation NLP market has relevance for the areas of e-commerce, travel and tourism, and international business.

Additional Information:

The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Computer Vision companies. Key players of the market include companies such as Google Cloud Translation, Amazon Translate, and DeepL.

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Translation software tools that can provide immediate translations for businesses
Speech translation tools that can provide translations of speeches in real time (e.g., at conferences)
Personal communication tools that can provide translations for individuals.

Literary translation tools (e.g., for books) and legal translation tools (e.g., for contracts).

Artificial Intelligence: in-depth market analysis

The NLP market in South Korea is experiencing mild growth, driven by factors such as increasing adoption of AI technologies, growing awareness of language translation, and convenience of online services. This trend is impacted by the country's tech-savvy population and government initiatives promoting digital healthcare.

Customer preferences: As South Korea continues to embrace digital technologies, there has been a rise in demand for language translation NLP services to bridge communication gaps. This trend is driven by the country's growing international presence and the need for efficient cross-cultural communication. Furthermore, with the rise of e-commerce and online businesses, there is a growing demand for accurate and efficient translation services to cater to global consumers. This trend is expected to continue as South Korea's digital economy expands and language barriers become a significant hindrance to business growth.

Trends in the market: In South Korea, the Language translation NLP Market within the Natural Language Processing Market of the Artificial Intelligence Market is experiencing a surge in demand for translation services due to the increasing globalization of businesses. This trend is driven by the country's growing economy and its increasing presence on the global stage. As a result, there is a growing need for accurate and efficient translation solutions, leading to the development of advanced NLP technologies. This trend is expected to continue, providing opportunities for industry players to tap into this market and expand their services. Additionally, the rise of online platforms and mobile applications for language translation is making it more convenient for businesses and individuals to communicate with international partners, further driving the demand for NLP translation services. As the world becomes more interconnected, the Language translation NLP Market within the Natural Language Processing Market is poised for significant growth, providing lucrative opportunities for industry stakeholders.

Local special circumstances: In South Korea, the Language translation NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is heavily influenced by the country's advanced technology infrastructure and high internet usage rates. Additionally, the government's focus on promoting the use of AI and language translation in various industries, such as tourism and e-commerce, has led to a growing demand for NLP solutions. Furthermore, the country's unique language and cultural nuances require specialized NLP tools, creating a niche market for local providers to thrive.

Underlying macroeconomic factors: The Language translation NLP Market within the Artificial Intelligence Market in South Korea is strongly influenced by macroeconomic factors such as technological advancements, government support, and investment in AI infrastructure. South Korea, being a leader in technological innovation and a strong economy, presents a favorable environment for the growth of the NLP market. The country's active investments in AI research and development, along with its highly skilled workforce, contribute to the rapid adoption of NLP solutions and services. Additionally, the increasing demand for efficient and accurate language translation solutions in various industries, such as e-commerce, healthcare, and customer service, further drives the growth of the NLP market in South Korea.

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.

XMO_REPORT_PROMO_SUB_HEADLINE

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

Artificial intelligence (AI), the technology that allows digital computers or computer-controlled robots to perform tasks more commonly associated with intelligent beings, has been leaping into the limelight following the release of a wide variety of Generative AI models in 2023. The United States, being the largest economy in the world, has a natural advantage. Although human-like androids such as those portrayed in the science fiction movie Blade Runner are still far from reality, applications of AI such as smartphone virtual assistants and industrial robots are already widespread in U.S. society. The industry’s powerful ability to improve efficiency and increase productivity has made it of strategic importance to U.S. industries and government, both of which push the U.S. lead in the AI race.

	2018	2019	2020	2021	2022	2023	2024	2025	2026	2027	2028	2029	2030
Gartner				103	124.94			269.6
IDC	56.2			766.6	900
Imarc group					141.8						700.8
Omdia	20.2	29.38	45.18	69.74	102.54	141.88	188.82	252
Statista			216.82	455.3	269.78	483.58	611.88	740.34	891.96	1,022.64	1,169.68	1,319.06	1,477.54

Language translation NLP - South Korea

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