Definition:
Artificial intelligence robotics refers to the field that combines artificial intelligence (AI) and robotics and aims to develop intelligent machines capable of performing tasks autonomously. These robots are equipped with AI algorithms and techniques that enable them to perceive, learn, reason, and make decisions in real time. By integrating AI into robotics, these intelligent machines can adapt to dynamic environments, interact with humans, and carry out complex tasks. These developments pave the way to a wide range of applications in areas such as manufacturing, healthcare, exploration, and assistance, with the goal of enhancing efficiency, productivity, and human-machine collaboration.Structure:
The Artificial Intelligence (AI) Robotics market consists of two components. One of them is AI Service Robotics, which includes the development, manufacturing, and deployment of robotic systems designed for consumer-facing applications. The other one is AI Industrial Robotics, which encompasses the development, manufacturing, and deployment of autonomous machines and robotic systems for use in industrial settings, such as manufacturing plants, warehouses, and logistics operations.
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 Artificial Intelligence (AI) Robotics companies. Key players of the market include companies such as Boston Dynamics, ABB, and Fanuc.
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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
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
Source: Statista Market Insights
The AI Robotics market in Indonesia is seeing rapid growth due to the increasing adoption of digital technologies, rising awareness of health and convenience, and the emergence of AI Service and Industrial Robotics sub-markets. The market's significant growth rate is driven by the demand for advanced and efficient automation solutions across various industries.
Customer preferences: As Indonesia continues to embrace AI and robotics in various industries, consumers are also showing a growing interest in smart home technology. This trend is fueled by the need for convenience and efficiency, as well as the desire for a modern lifestyle. The rise of smart homes is also driven by the increasing adoption of Internet of Things (IoT) devices and the growing awareness of sustainable living practices. As a result, companies in the AI robotics market are developing more advanced and integrated solutions to cater to this emerging consumer demand.
Trends in the market: In Indonesia, the AI Robotics market is experiencing a surge in adoption across various industries such as manufacturing, healthcare, and retail. This is driven by the increasing demand for automation and cost-efficiency. With the rise in AI technology, there is a growing trend of integration with robotics, enabling more intelligent and autonomous systems. This trend is expected to continue, with significant implications for industry stakeholders in terms of increased productivity, improved accuracy, and cost savings. Additionally, there is a growing focus on developing AI-powered robots that can assist with tasks such as customer service, logistics, and maintenance, which could further boost the growth of the AI Robotics market in Indonesia.
Local special circumstances: In Indonesia, the AI Robotics Market is experiencing rapid growth due to the country's large population and increasing adoption of technology. However, the market is also faced with challenges such as limited access to quality education and a shortage of skilled workers in the field of AI and robotics. Additionally, Indonesia has unique regulatory requirements for foreign companies looking to enter the market, which may impact the pace of growth and adoption of AI and robotics solutions. These factors play a significant role in shaping the market dynamics and require special attention from companies looking to enter or expand in the AI Robotics Market in Indonesia.
Underlying macroeconomic factors: The AI Robotics Market within the Artificial Intelligence Market in Indonesia is heavily impacted by macroeconomic factors such as government initiatives, investment in research and development, and technological advancements. These factors are driving the growth of the market by creating a favorable environment for the adoption of AI and robotics technologies. Furthermore, Indonesia's strong economic growth, increasing investments in infrastructure, and supportive regulatory policies are contributing to the expansion of the AI Robotics Market. Additionally, the growing demand for automation and efficiency in various industries, such as manufacturing, healthcare, and retail, is also fueling the market growth in Indonesia.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
Source: Statista Market Insights
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.
Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Jan 2025
Source: Statista Market Insights
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