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Speech-based NLP - United Arab Emirates

United Arab Emirates
  • The market size in the Speech-based NLP market is projected to reach US$154.76m in 2025.
  • The market size is expected to show an annual growth rate (CAGR 2025-2031) of 26.57%, resulting in a market volume of US$636.12m by 2031.
  • In global comparison, the largest market size will be United States (US$8.74bn in 2025).

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:

Market Size

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

Most recent update:

Source: Statista Market Insights

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

Most recent update:

Source: Statista Market Insights

Analyst Opinion

The NLP market in UAE is experiencing steady growth, driven by factors such as increasing use of AI and rising awareness of speech-based technology. The average growth rate is impacted by factors such as government initiatives and the demand for efficient healthcare services.

Customer preferences:
With the rise of virtual assistants and smart speakers, consumers in the UAE are becoming more comfortable using speech-based NLP technology for daily tasks such as shopping and managing appointments. This trend is further fueled by the growing adoption of AI-powered chatbots in customer service, as well as the increasing availability of Arabic language support. As a result, businesses are investing in NLP solutions to enhance customer interactions and improve overall efficiency.

Trends in the market:
In the United Arab Emirates, the Speech-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is seeing a surge in demand for voice-activated virtual assistants, as consumers increasingly rely on convenient and hands-free technology. Additionally, there is a growing trend of incorporating NLP technology into customer service and support systems in various industries, enhancing the overall user experience. This trend is expected to continue, with potential implications for industry stakeholders including increased efficiency, improved customer satisfaction, and more personalized services.

Local special circumstances:
In the United Arab Emirates, the Speech-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market is expected to witness significant growth due to the country's growing focus on adopting advanced technologies. The government has launched the UAE Strategy for Artificial Intelligence, aimed at promoting the use of AI in various sectors. Additionally, the high demand for multilingual voice assistants in the country's diverse population is also driving the growth of the Speech-based NLP Market. Moreover, the UAE's strong presence in the global business landscape and its emphasis on innovation and digital transformation make it a lucrative market for Speech-based NLP solutions.

Underlying macroeconomic factors:
The Speech-based NLP Market of the Natural Language Processing Market within the Artificial Intelligence Market in the United Arab Emirates is greatly impacted by macroeconomic factors such as the country's strong investment in digital technologies and its favorable regulatory environment. These factors have contributed to the rapid growth of the market in the UAE, as compared to other regions with limited regulatory support and healthcare funding. Furthermore, the increasing prevalence of chronic diseases and the aging population in the country are driving the demand for speech-based NLP solutions to improve healthcare access and outcomes. This trend is expected to continue as the UAE continues to invest in digital infrastructure and adopt innovative technologies to enhance its healthcare sector.

Global Comparison

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

Most recent update:

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:

Source: Statista Market Insights

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