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Natural Language Processing - ASEAN

ASEAN
  • The market size in the Natural Language Processing market is projected to reach US$1.33bn 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$5.74bn 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.
Artificial Intelligence

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    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

    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 Artificial Intelligence market in ASEAN is experiencing significant growth, driven by increasing adoption of digital technologies and rising health awareness among consumers. Convenience of online health services also contributes to the market's growth rate, which is currently at an average level. Factors such as advancements in text-based, speech-based, and language translation NLP sub-markets are expected to impact the market positively.

    Customer preferences:     As the use of artificial intelligence continues to grow in the ASEAN region, there has been a notable increase in demand for natural language processing (NLP) solutions. This can be attributed to the region's diverse linguistic landscape, with a growing need to accurately process and analyze large volumes of text data in multiple languages. Additionally, with the rise of digitalization and e-commerce in the region, there has been a shift towards automated customer service and chatbot solutions, driving the adoption of NLP technology. This trend is expected to continue as businesses and consumers increasingly rely on AI-powered communication and engagement tools.

    Trends in the market:     In ASEAN, the Natural Language Processing (NLP) market is seeing a surge in demand for chatbots and virtual assistants, with companies leveraging these technologies to improve customer service and automate routine tasks. Additionally, there is a growing trend of incorporating NLP into social media analytics, enabling businesses to gain insights from online conversations. This trend is expected to continue, driven by the region's increasing digitalization and the need for efficient communication and data analysis. Industry stakeholders can capitalize on these developments by investing in NLP technologies and leveraging them to enhance customer engagement and decision-making processes.

    Local special circumstances:     In the ASEAN region, the Natural Language Processing market is experiencing significant growth due to the increasing adoption of digital technologies and the government's push for digital transformation. In countries like Indonesia and Thailand, there is a growing demand for NLP solutions in the e-commerce sector, while in Malaysia and Singapore, the focus is on leveraging NLP for customer service and chatbots. Additionally, regulatory support and favorable business environments in countries like Singapore and Malaysia are driving the growth of the NLP market in the region.

    Underlying macroeconomic factors:     The growth of the Natural Language Processing market within the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable regulatory environments and strong investment in AI technology are experiencing faster market growth compared to regions with regulatory challenges and limited funding for research. Additionally, the increasing demand for AI-powered solutions in various industries, such as healthcare, finance, and retail, is driving the market growth in the ASEAN region.

    Global Comparison

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

    Most recent update: Mar 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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