Indonesia Artificial Intelligence Optimised Data Center Market Report is Segmented by Data Center Type (CSP Data Centers, Colocation Data Centers, Others (Enterprise and Edge)), by Component (Hardware, Software Technology, Services - (Managed Services, Professional Services, Etc). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).

In 2022, the total spending on artificial intelligence (AI) solutions in Indonesia amounted to around **** trillion Indonesian rupiah. This value was projected to increase by nearly **** times over the next five years.

In 2023, the market size for generative artificial intelligence (GenAI) in Indonesia was estimated to reach ****** million U.S. dollars. Projections indicated that the market size will continue to increase significantly and reach over *** billion U.S. dollars by 2030. The rising popularity of ChatGPT With GenAI technology, users can generate text, images, videos, or other content through deep-learning algorithms. As of 2023, Indonesia stood among the leading countries in terms of awareness of ChatGPT, resulting in its widespread adoption as one of the most popular GenAI platforms in the country. Nearly ** percent of Indonesian users access ChatGPT on a weekly or daily basis for various intentions, from work to entertainment purposes. Holding over *** percent of the total traffic share on the ChatGPT website, Indonesia is arguably one of the largest markets for this platform. AI and its risks It is inevitable that the many advantages of artificial intelligence come with its risks. For instance, AI-generated deepfakes can increase the spread of misleading information, leading to various negative consequences. However, a recent study revealed that a considerable portion of the Indonesian population remained unaware of deepfake technology. Additionally, the potential misuse of AI for malicious purposes was found to be the main concern among the population. Given that there remains a large room for growth in digital literacy in Indonesia, it becomes even more crucial to address the risks of AI to ensure safety as the technology continues to grow rapidly across the country.

The market size in the artificial intelligence market in Indonesia was forecast to continuously increase between 2025 and 2031 by in total *** billion U.S. dollars (+***** percent). After the ninth consecutive increasing year, the market size is estimated to reach ***** billion U.S. dollars and therefore a new peak in 2031. Notably, the market size of the artificial intelligence market was continuously increasing over the past years.Find further information concerning the market size in the 'AI Robotics' segment of the artificial intelligence market in Spain and the market size change in the 'Generative AI' segment of the artificial intelligence market in the United States.The Statista Market Insights cover a broad range of additional markets.

This dataset originates from a comprehensive survey of over 300 respondents within the Indonesian IT sector. The dataset is a valuable resource for research focusing on various dimensions of programmer perspective . It supports studies related to AI, which examines the perception and branding of AI Identity which assesses programmer satisfaction levels with AI Influence, which evaluates the overall quality and performance of programmer. Additionally, the dataset is instrumental in exploring Threat to job security, a critical factor influencing programmer confidence in their skill and future. Finally, the dataset underpins studies on AI Identity threat, which investigates the factors contributing to programmer intensity and perspective in the job market. This dataset provides a robust foundation for academic inquiries into key aspects of AI and programmer behavior. Its meticulous collection and cleaning processes ensure that it is a reliable and valuable resource for researchers aiming to understand and enhance the AI threat in Indonesia and beyond.

Indonesia Big Data Analytics Software Market Analysis The Indonesia Big Data Analytics Software market is poised to witness substantial growth over the forecast period of 2025-2033, with a CAGR of 9.35%. In 2025, the market stood at a value of USD 43.15 million and is projected to reach a remarkable value by 2033. This growth is primarily driven by the increasing adoption of digital technologies, the proliferation of data-intensive applications, and the growing need for businesses to make data-driven decisions. Key trends shaping the market include the rising popularity of cloud-based big data analytics solutions, the emergence of advanced analytics techniques such as machine learning and artificial intelligence, and the growing awareness of data privacy and security concerns. Despite these positive factors, the market faces challenges such as the lack of skilled professionals in data analytics, the high cost of implementation, and the complexities associated with managing and integrating large volumes of data. Prominent players in the market include Teradata, SAS, SAP, Tableau Software, and IBM Corporation, among others. Market Size and Growth The Indonesia Big Data Analytics Software Market is projected to grow from USD 235.6 million in 2023 to USD 1,159.1 million by 2029, exhibiting a CAGR of 24.3% during the forecast period. This growth can be attributed to the increasing adoption of big data analytics solutions by organizations to enhance their decision-making, improve operational efficiency, and gain a competitive advantage. Recent developments include: June 2024: Indosat Ooredoo Hutchison (Indosat) and Google Cloud expanded their long-term alliance to accelerate Indosat’s transformation from telco to AI Native TechCo. The collaboration will combine Indosat’s vast network, operational, and customer datasets with Google Cloud’s unified AI stack to deliver exceptional experiences to over 100 million Indosat customers and generative AI (GenAI) solutions for businesses across Indonesia. These include geospatial analytics and predictive modeling, real-time conversation analysis, and back-office transformation. Indosat’s early adoption of an AI-ready data analytics platform exemplifies its forward-thinking approach., June 2024: Palo Alto Networks launched a new cloud facility in Indonesia, catering to the rising demand for local data residency compliance. The move empowers organizations in Indonesia with access to Palo Alto Networks' Cortex XDR advanced AI and analytics platform that offers a comprehensive security solution by unifying endpoint, network, and cloud data. With this new infrastructure, Indonesian customers can ensure data residency by housing their logs and analytics within the country.. Key drivers for this market are: Higher Emphasis on the Use of Analytics Tools to Empower Decision Making, Rapid Increase in the Generation of Data Coupled with Availability of Several End User Specific Tools due to the Growth in the Local Landscape. Potential restraints include: Higher Emphasis on the Use of Analytics Tools to Empower Decision Making, Rapid Increase in the Generation of Data Coupled with Availability of Several End User Specific Tools due to the Growth in the Local Landscape. Notable trends are: Small and Medium Enterprises to Hold Major Market Share.

In Indonesia Artificial Intelligence In Drug Discovery Market , was valued at approximately USD 10.11 billion in 2022 and is projected to reach USD 12.45 billion by 2029,

This study examines the role of artificial intelligence (AI) in analyzing key technological trends in Indonesia’s financial sector. Using a qualitative descriptive approach, AI tools—including ChatGPT, Gemini, Elicit, Jenni, and Perplexity—were utilized to assess ten emerging trends: Ubiquitous Computing, IoT, Datafication, AI, Extended Reality, Blockchain, 3D Printing, Gene Editing, Nanotechnology, and New Energy Solutions. Findings show AI, IoT, and Datafication are widely adopted, while Extended Reality and Blockchain face regulatory and security challenges. Financial institutions must enhance cybersecurity, regulations, and partnerships to ensure responsible AI integration. Future research should assess AI’s economic impact and governance frameworks. Keywords— artificial intelligence, technological trends, finance industry

In Indonesia AI In Diagnostics Market, It is transforming the healthcare landscape by integrating artificial intelligence into diagnostic procedures to enhance accuracy, speed, and clinical decision-making.

In Indonesia Edge AI Software Market, This software allows devices to process and analyze data locally using artificial intelligence, without relying solely on cloud infrastructure.

According to the government artificial intelligence (AI) readiness index rankings, Indonesia ranked **** among 193 countries in 2023, with an index score of ***** out of 100. Among the readiness index categories, Indonesia scored the lowest on the technology sector pillar, indicating the need for adequate AI tools supply from the country's technology sector.

This dataset was collected as part of the research for the paper "System Perspective on AI Over-Reliance among Indonesian Higher Education Students". It contains responses from Indonesian university students regarding their perceptions, usage habits, and dependency patterns on artificial intelligence (AI) tools in academic settings. The data was obtained through an online questionnaire designed to explore various system elements contributing to potential over-reliance on AI technologies, such as motivation, self-efficacy, institutional policy, peer influence, and academic pressure.

The dataset includes anonymized, structured survey responses suitable for statistical analysis and systems thinking approaches (e.g., causal loop diagrams). It is intended to support further research in educational technology, digital ethics, and systems thinking in the context of higher education.

This dataset was collected from 90 Indonesian articles for analysis using the DeepSeek API. The dataset titled DeepSeekAnalysis_CompleteData.xlsx contains complete data, including the final score calculation, bot responses, bot response time, bot response evaluation criteria, article titles, article content, and article links. The dataset titled deepseekAnalysis_WellBeing_cleaned.csv includes article titles, article content, and article links.

Supplementary tables for Understanding AI Adoption in Medical Education: Insights from Students and Faculty Members in Indonesian Medical Schools

Concerning the five selected segments, the segment Machine Learning has the largest market size with 1 billion U.S. dollars. Contrastingly, AI Robotics is ranked last, with 72.43 million U.S. dollars. Their difference, compared to Machine Learning, lies at 939.61 million U.S. dollars. Find more statistics on other topics: a comparison of countries or regions regarding the market size. The Statista Market Insights cover a broad range of additional markets.

The Indonesia Digital Transformation Market report segments the industry into By Type (Analytics, Artificial Intelligence and Machine Learning, Extended Reality (XR), IoT, and more), By End User (Manufacturing, Oil, Gas and Utilities, Retail & e-commerce, Transportation and Logistics, and more).

This dataset was collected as part of the research for a scientific research titled "AI Overreliance in Indonesian Higher Education: Roles of Social Influence and Facilitating Conditions". It includes feedback from Indonesian university students on their perceptions, usage habits, and reliance on artificial intelligence (AI) tools in academic settings. The data was gathered using an online questionnaire meant to investigate numerous system aspects that contribute to potential over-reliance on AI technology, including motivation, self-efficacy, institutional policy, peer influence, and academic pressure.

The dataset contains anonymised, structured survey responses that are appropriate for statistical analysis and systems thinking methodologies (e.g., causal loop diagrams). It is intended to encourage future research in educational technology, digital ethics, and systems thinking in higher education.

Tabulasi hasil penelitian

Indonesia Financial Technology Services Market size was valued at USD 8.6 Billion in 2024 and is projected to reach USD 32.5 Billion by 2032, growing at a CAGR of 17.9% from 2026 to 2032. Key Market Drivers:Rising Digital Banking Adoption: Indonesia's Financial Services Authority (OJK) reported that digital banking transactions reached USD 2.5 Trillion in 2023, representing a 37.8% year-on-year growth. Based on Bank Indonesia data, the number of mobile banking users increasing from 50.4 million in 2019 to more than 115 million by 2023.Large Unbanked Population: The World Bank's Findex Database indicates that approximately 52% of Indonesia's adult population (95 million people) remains unbanked or underbanked. Also, the Indonesian Internet Service Providers Association reports that smartphone penetration is at 73.7%, indicating a significant opportunity for digital financial inclusion.

In this 2024 edition of the Omnibus Survey, we surveyed 783 participants across Indonesia, focusing on ten key variables relevant to AI as a service in e-commerce. We highlighted key findings from each variable, showcasing contrasts across various demographic profiles. These insights aim to deepen understanding of how AI shapes the digital marketplace and provide actionable takeaways for businesses looking to refine their AI-driven strategies.