Text-based NLP - South Korea

South Korea

Highlights

Market definition

In-Scope/Out-of-scope

Market structure

Reports

Methodology

The market size in the Text-based NLP market is projected to reach US$187.21m in 2025.
The market size is expected to show an annual growth rate (CAGR 2025-2030) of 25.34%, resulting in a market volume of US$579.05m by 2030.
In global comparison, the largest market size will be United States (US$2.85bn in 2025).

Market Size

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Source: Statista Market Insights

Market Size Change

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Source: Statista Market Insights

Analyst Opinion

The South Korean market for Natural Language Processing within the Artificial Intelligence industry is experiencing mild growth, influenced by factors such as increasing adoption of digital technologies and rising awareness of the convenience of online NLP services. This market's growth rate is being impacted by various factors, leading to a promising future.

Customer preferences: In South Korea, there has been a noticeable shift towards the use of text-based NLP in customer service and technical support. This trend is driven by a growing preference for quick and efficient communication, as well as a rise in demand for personalized experiences. This has also been influenced by the cultural value placed on respect and politeness, making text-based NLP an ideal solution for providing satisfactory customer interactions. Additionally, the increasing adoption of smartphones and the rise of messaging apps have made text-based NLP a convenient and preferred method of communication for consumers.

Trends in the market: In South Korea, the Text-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is witnessing a surge in demand for virtual assistants and chatbots in various industries, such as retail, banking, and healthcare. This trend is driven by the increasing adoption of AI technologies and the need for efficient and personalized customer service. As AI continues to evolve and improve, the use of NLP in text-based communication is expected to become more prevalent, transforming the way businesses interact with their customers. This has significant implications for industry stakeholders, who must be prepared to invest in and integrate NLP technology to stay competitive in the market.

Local special circumstances: In South Korea, the Text-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is thriving due to the country's advanced technological infrastructure and high internet penetration rate. The government's initiatives to promote AI research and development have also played a significant role in the market's growth. Additionally, the country's cultural emphasis on education and technology has led to a high demand for AI-powered language processing solutions in various industries, such as education and healthcare. Furthermore, strict data privacy regulations have boosted consumer trust in AI-based language processing technologies, creating a conducive environment for market growth.

Underlying macroeconomic factors: The Text-based NLP Market in South Korea is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in the artificial intelligence sector. South Korea is known for its advanced technological capabilities, which has allowed the country to become a leader in the global artificial intelligence market. Additionally, the government has implemented policies to promote the development of AI technologies, leading to increased investment in the industry. Furthermore, with a strong and stable economy, South Korea has the financial resources to support the growth of the Natural Language Processing Market within the Artificial Intelligence Market. The country's commitment to innovation and its robust digital infrastructure also contribute to the favorable market conditions for text-based NLP in South Korea.

Methodology

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.

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