Generative AI - Indonesia

  • Indonesia
  • The market size in the Generative AI market is projected to reach €189.80m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 46.73%, resulting in a market volume of €1,894.00m by 2030.
  • In global comparison, the largest market size will be in the United States (€10.82bn in 2024).
 
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Analyst Opinion

The Generative AI market in Indonesia is growing at an extraordinary rate, fueled by the rising demand for digital technologies, growing health awareness, and the convenience of online health services. This trend is driven by the increasing adoption of AI solutions in the country's healthcare industry.

Customer preferences:
Consumers in Indonesia are showing a growing preference for personalized and interactive AI experiences, driving the demand for Generative AI technology. This trend is fueled by the country's strong digital economy and tech-savvy population. Additionally, the rising adoption of smart devices and IoT connectivity is creating a need for AI-powered solutions to automate tasks and enhance convenience. This shift towards AI-driven experiences is also influenced by the country's young and tech-forward demographic, who prioritize efficiency and novelty in their lifestyles.

Trends in the market:
In Indonesia, the Generative AI market within the Artificial Intelligence market is experiencing a surge in demand for AI-powered customer service solutions. This trend is driven by the country's rapidly growing e-commerce sector, which relies heavily on efficient and personalized customer support. As a result, AI chatbots and virtual assistants are becoming increasingly popular among businesses and consumers alike. This trend is expected to continue as companies prioritize improving customer experience and reducing operational costs. Industry stakeholders can capitalize on this trend by investing in AI technology and partnerships to offer innovative customer service solutions.

Local special circumstances:
In Indonesia, the Generative AI market is growing due to the country's large population and expanding technology infrastructure. The government's focus on promoting innovation and entrepreneurship has also contributed to the market's growth. Additionally, the cultural emphasis on creativity and design has fostered a unique approach to Generative AI development. However, strict data privacy laws and limited access to funding for startups may pose challenges for market growth.

Underlying macroeconomic factors:
The growth of the Generative AI market in Indonesia is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in AI infrastructure. Countries with favorable regulatory environments and significant investments in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding for AI development. Additionally, the increasing digitalization of industries and the rising demand for automation solutions are driving the adoption of Generative AI in the country. The strong economic growth and increasing digitalization in Indonesia provide a conducive environment for the growth of the Generative AI market.

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.

Vue d’ensemble

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