Generative AI - Pakistan

  • Pakistan
  • The market size in the Generative AI market is projected to reach US$93.35m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 46.47%, resulting in a market volume of US$921.90m by 2030.
  • In global comparison, the largest market size will be in the United States (US$11.66bn in 2024).
 
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Analyst Opinion

The Generative AI market in Pakistan is experiencing extraordinary growth, fueled by factors such as increasing demand for digital solutions, growing awareness of AI in healthcare, and the convenience of online services. This rapid growth is primarily driven by the country's efforts to advance its AI capabilities and integrate it into various industries.

Customer preferences:
With the rise of digitalization in Pakistan, there is a growing demand for Generative AI technology in various sectors, particularly in healthcare and education. This trend is driven by the need for personalized and efficient solutions that cater to the diverse cultural and linguistic backgrounds of the country. Additionally, the increasing adoption of mobile devices and internet connectivity has created a conducive environment for the growth of Generative AI in Pakistan.

Trends in the market:
In Pakistan, the Generative AI market within the Artificial Intelligence market is experiencing a surge in demand for AI-powered chatbots and virtual assistants. This trend is driven by the increasing adoption of digital customer service solutions by businesses. Additionally, there is a growing focus on developing AI solutions for industries such as healthcare, finance, and retail, which is expected to drive further growth in the Generative AI market. These trends have significant implications for industry stakeholders, as they present opportunities for cost savings, improved customer experience, and increased efficiency. However, there may also be challenges in terms of data privacy and ethical considerations, which must be carefully addressed to ensure sustainable growth in the market.

Local special circumstances:
In Pakistan, the Generative AI Market within the Artificial Intelligence Market is seeing growth due to the government's focus on technological advancements and the increasing availability of skilled IT professionals. The country's large population and high internet penetration rate also contribute to the market's potential. However, the market is hindered by regulatory challenges and a lack of awareness among businesses about the potential benefits of Generative AI. This creates a unique market dynamic, with a need for targeted education and regulatory reform to fully unleash the market's potential.

Underlying macroeconomic factors:
The Generative AI Market within the Artificial Intelligence Market in Pakistan is heavily influenced by macroeconomic factors such as government policies, technological advancements, and investment in digital infrastructure. Despite challenges in regulatory environments and limited funding, the market is expected to experience significant growth due to the increasing demand for AI solutions in various industries. Additionally, the country's growing population and increasing adoption of digital technologies are also contributing to the market's growth.

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.

Overview

  • Market Size
  • Value
  • Users
  • Analyst Opinion
  • Global Comparison
  • Methodology
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