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Generative AI - Indonesia

Indonesia
  • The market size in the Generative AI market is projected to reach US$204.60m 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$2.02bn by 2030.
  • In global comparison, the largest market size will be United States (US$11.66bn in 2024).

Definition:
Generative artificial intelligence (AI) is a field of artificial intelligence that focuses on creating models and systems capable of generating new content, such as images, videos, music, or text. By training on large datasets, generative AI models learn patterns and structures within the data to produce novel and realistic outputs that mimic the original data distribution. Using techniques like generative adversarial networks (GANs) or variational autoencoders (VAEs), generative AI has the potential to enhance creativity, enable data synthesis, and revolutionize various industries including art, entertainment, and content creation.

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 Generative Artificial Intelligence companies. Key players of the market include companies such as Open AI, NVIDIA DeepL Learning and Google (Magenta, DeepDream).

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In-Scope

  • Applications of generative artificial intelligence to create new content, such as images, music, and text, which is indistinguishable from human-generated content.

Out-Of-Scope

  • Non-artificial intelligence applications of generative systems, such as procedural content generation in video games, which do not involve machine learning or creativity.
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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

    Users

    Most recent update: Mar 2024

    Source: Statista Market Insights

    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.

    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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