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Natural Language Processing - APAC

APAC
  • The market size in the Natural Language Processing market is projected to reach US$13.19bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 27.54%, resulting in a market volume of US$56.77bn by 2030.
  • In global comparison, the largest market size will be United States (US$9.71bn in 2024).

Definition:
Natural language processing (NLP) is a branch of artificial intelligence that focuses on the interaction between human language and computers. Natural language processing tools analyze, understand, and generate written, oral, and visual formats of human language. The Natural Language Processing (NLP) market has relevance for the healthcare, finance, and e-commerce industries in the areas of sentiment analysis, chatbots, and language translation.

Structure:

The Natural Language Processing (NLP) market has three markets. The Text-Based NLP market covers applications that analyze written forms of language. The Speech-Based NLP market covers applications that interpret and understand spoken language. The Language Translation NLP market covers applications that convey the content and meaning of a text from one language into another language.

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 Amazon Web Services (AWS), Microsoft Azure Cognitive Services, and Google.

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In-Scope

  • Natural language processing tools such as chatbots, virtual assistants, and sentiment analysis that enable machines to understand, interpret, and generate human languages.

Out-Of-Scope

  • Non-artificial intelligence applications such as spell checking and grammar correction, which do not involve semantic analysis or machine learning.
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Study Details

    Market Size

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

    Most recent update: Jul 2024

    Source: Statista Market Insights

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

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Analyst Opinion

    The Artificial Intelligence market in APAC has seen a significant growth in the Natural Language Processing sector. Factors such as increasing adoption of digital technologies, rising health awareness, and convenience of online services have contributed to the average growth rate. This can be attributed to the advancements in Text-based, Speech-based, and Language translation NLP technologies.

    Customer preferences:
    The APAC region is experiencing a growing demand for natural language processing solutions in the artificial intelligence market, driven by the increasing adoption of digital assistants and chatbots in various industries. This trend is particularly prominent in countries like China and Japan, where the use of voice assistants for everyday tasks is becoming increasingly popular. Additionally, the rise of e-commerce and online shopping in the region has led to a greater need for NLP-based sentiment analysis tools to gather consumer insights and improve customer engagement.

    Trends in the market:
    In APAC, the Natural Language Processing Market within the Artificial Intelligence Market is experiencing a surge in demand for chatbots and virtual assistants across various industries. This is driven by the increasing adoption of digitalization and automation in business processes. Additionally, there is a growing trend of using NLP for sentiment analysis and social media monitoring to understand customer behavior and preferences. This trend is expected to continue, with potential implications for industry stakeholders such as improved customer engagement and increased efficiency in business operations.

    Local special circumstances:
    In China, the Natural Language Processing Market within the Artificial Intelligence Market is experiencing rapid growth due to the government's focus on advancing AI technology and the country's large population generating a high demand for language processing solutions. Additionally, the unique regulatory environment, with strict data privacy laws and censorship restrictions, has led to the development of localized NLP solutions tailored to the Chinese market.

    Underlying macroeconomic factors:
    The Natural Language Processing Market within the Artificial Intelligence Market in APAC is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investment in digital infrastructure. Countries with strong government support and investments in AI technologies are experiencing rapid market growth compared to regions with limited support and funding. Additionally, the increasing demand for AI-driven solutions in various industries, coupled with the rising adoption of digital technologies, is driving the growth of the Natural Language Processing Market in APAC.

    Global Comparison

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

    Most recent update: Jul 2024

    Source: Statista Market Insights

    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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    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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