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Text-based NLP - Worldwide

Worldwide
  • The market size in the Text-based NLP market is projected to reach US$8.21bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 26.12%, resulting in a market volume of US$33.04bn by 2030.
  • In global comparison, the largest market size will be United States (US$2.19bn in 2024).

Definition:
The Text-Based Natural Language Processing (NLP) market covers tools that process and analyze human language in text form that include text classification, sentiment analysis, and language translation tools. The Text-based Natural Language Processing (NLP) market has relevance for the e-commerce, healthcare, and finance industries in the areas of customer service, content analysis, and fraud detection.

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 IBM.

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In-Scope

  • Text classification applications capable of sorting news articles into sports, politics, and/or business categories
  • Sentiment analysis tools for social media posts and product reviews.

Out-Of-Scope

  • Speech recognition tools (e.g., transcriptions of phone conversations, speeches
  • Image recognition tools (e.g,. identification of faces in photographs)
  • Audio or music processing tools (e.g., identification of songs/artists from audio clips).
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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: 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 Text-based NLP market in the Artificial Intelligence market worldwide is experiencing mild growth, influenced by factors such as increasing demand for digital solutions, growing awareness of the importance of language processing, and the convenience of online services. These factors are contributing to the market's steady growth rate.

    Customer preferences:
    As the use of NLP technology continues to expand, consumers are gravitating towards text-based NLP solutions that offer personalized and efficient communication. This trend is fueled by the rising demand for virtual assistants, chatbots, and voice-enabled devices, which allow for seamless interaction and access to information. Additionally, the increasing adoption of digital communication in both personal and professional settings has led to a growing reliance on NLP-based tools for quick and accurate language processing. This shift towards text-based NLP is also driven by the need for effective communication across diverse languages and cultural contexts.

    Trends in the market:
    In the Worldwide Text-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market, there is a growing trend towards incorporating sentiment analysis into NLP models. This is driven by the increasing use of social media and online reviews for customer feedback and insights. This trend is expected to continue as businesses strive to improve customer satisfaction and understand consumer behavior. Additionally, there is a rising demand for multilingual NLP solutions to cater to global markets. This presents opportunities for industry stakeholders to expand their offerings and tap into new markets.

    Local special circumstances:
    In China, the Text-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is experiencing rapid growth due to the government's focus on advancing AI technology. The country's large population and high mobile device adoption have also created a strong demand for text-based NLP solutions in various industries. Additionally, China's unique regulatory landscape, which heavily promotes data collection and analysis, has further fueled the growth of the market.

    Underlying macroeconomic factors:
    The Text-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is greatly influenced by macroeconomic factors. The global economic trends, national economic health, fiscal policies, and other relevant financial indicators all play a crucial role in the market's performance. Countries with strong economic growth and supportive policies for AI and NLP technologies are experiencing faster market growth compared to those with economic challenges and limited investment in these areas. Moreover, the increasing demand for advanced AI-powered solutions in various industries and the growing adoption of NLP for improving customer experience are major drivers of market growth. On the other hand, factors such as data privacy concerns and lack of skilled workforce are hindering market growth in some regions.

    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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