Skip to main content
  1. Market Insights
  2. Technology
  3. Artificial Intelligence

Natural Language Processing - Peru

Peru
  • The market size in the Natural Language Processing market is projected to reach US$93.26m 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$401.50m 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.

For more information on the data displayed, use the info button right next to the boxes.

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: in-depth market analysis - Cover

Market Insights report

Artificial Intelligence: in-depth market analysis

Study Details

    Value

    Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

    Most recent update: Mar 2024

    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 Peru is witnessing significant growth, driven by factors such as increasing adoption of digital technologies, rising awareness about healthcare, and the convenience of online health services. The average growth rate is influenced by the sub-markets of Text-based NLP, Speech-based NLP, and Language translation NLP. These factors are propelling the market forward, making it a lucrative space for businesses and investors.

    Customer preferences:
    In Peru, the Natural Language Processing Market within the Artificial Intelligence Market is experiencing a rise in demand for automated customer service solutions, as companies seek to improve their customer experience and reduce costs. This trend is driven by the growing use of social media and messaging platforms for customer interactions, as well as the need for personalized and efficient communication with Spanish-speaking consumers. Additionally, there is a growing focus on sentiment analysis and language translation to cater to the diverse cultural and linguistic backgrounds of Peruvian consumers.

    Trends in the market:
    In Peru, there is a growing interest in the Natural Language Processing (NLP) market within the Artificial Intelligence (AI) market. This can be attributed to the increasing adoption of AI-powered solutions in various industries, such as finance, healthcare, and retail. Companies in Peru are leveraging NLP tools to analyze large volumes of unstructured data, enabling them to gain valuable insights and make data-driven decisions. This trend is expected to continue in the coming years, as more businesses recognize the potential of NLP in improving efficiency and productivity. For industry stakeholders, this trend presents significant opportunities for growth and innovation, as well as the potential to gain a competitive edge in the market. However, it also poses challenges in terms of talent acquisition, as there is a shortage of skilled professionals in the NLP field. As such, companies will need to invest in training and development programs to meet the demand for NLP expertise.

    Local special circumstances:
    In Peru, the Natural Language Processing Market is seeing growth due to the country's increasing adoption of technology and rapid digital transformation. The market is driven by the government's push for digitalization and the growing demand for automation in various industries such as banking, healthcare, and education. Peru's unique geographical and cultural factors, such as its diverse indigenous languages, play a significant role in shaping the NLP market. Additionally, the country's regulatory environment, including data privacy laws, influences the development and adoption of NLP solutions in Peru.

    Underlying macroeconomic factors:
    The Natural Language Processing Market within the Artificial Intelligence Market in Peru is impacted by several macroeconomic factors. These include the country's economic stability, government policies, and technological advancements. Peru's stable economic growth and increasing investments in technology have created a favorable environment for the growth of the NLP market. Additionally, the country's focus on digital transformation and increasing adoption of AI-based solutions in various industries have also contributed to market growth. However, challenges such as limited access to advanced technology and regulatory barriers may hinder market expansion. Moreover, the rising demand for NLP solutions in healthcare, banking, and other sectors is expected to drive market growth in the future.

    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.

    Technology

    Access more Market Insights on Technology topics with our featured report

    Artificial Intelligence: in-depth market analysis - BackgroundArtificial Intelligence: in-depth market analysis - Cover

    Key Market Indicators

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

    Most recent update: Sep 2024

    Source: Statista Market Insights

    Explore more high-quality data on related topic

    Artificial intelligence (AI) worldwide - statistics & facts

    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.
    More data on the topic

    Explore more high-quality data on related topic

    Artificial intelligence (AI) in the U.S. - statistics & facts

    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.
    More data on the topic

    Contact

    Get in touch with us. We are happy to help.