Publication: May 2025
Report Type: Sub-Tracker
Report Format: PDF DataSheet
Report ID: AI42122 
  Pages: 110+
 

Indonesia AI Service Robotics Market Analysis, Size, and Forecast by Component, Level of autonomy, Type, Payload Capacity, and Industry: 2019-2033

Report Format: PDF DataSheet |   Pages: 110+  

 May 2025  | 

Indonesia AI Service Robotics Market Snapshot


  • The Indonesia AI service robotics market size is poised for significant growth, with forecasted revenue reaching US$ XX Million by 2025.
  • Throughout the forecast period, we anticipate that the healthcare sector will experience the most rapid expansion in terms of revenue generation, with a XX% CAGR.

Indonesia AI Service Robotics Market Outlook

Indonesia AI service robotics market is witnessing rapid growth, driven by increased automation adoption, government support, and global collaborations. As industries across manufacturing, hospitality, and logistics embrace robotics, key players are investing in cutting-edge technologies to enhance efficiency and productivity. The Indonesian Industrial Robot Association (ASRII) is at the forefront of this transformation, promoting technology transfer, policy advocacy, and industry networking to position Indonesia as a regional leader in robotics.

A significant milestone in Indonesia robotics landscape is the introduction of four advanced service robots designed for diverse applications. Robot Snow, a retail and hospitality assistant, features a 13.3-inch Android screen, enhancing customer engagement and promotional activities. Robot Amy Services is tailored for the food and retail industries, capable of carrying up to 10 kg for restaurant and supermarket deliveries. Robot AmyPlus, equipped with a 23.8-inch touchscreen and advanced navigation, is designed for airport assistance and guest greetings. Meanwhile, Robot ALICE and ALICE Pro integrate facial recognition, data processing, and payment functionalities, offering a multifunctional humanoid experience. These innovations underscore Indonesia’s commitment to Industry 4.0, revolutionizing sectors while raising discussions about workforce adaptation and job displacement.

PURI Robotics is playing a crucial role in accelerating robotics innovation by transferring Japanese technology to local developers. This initiative fosters an indigenous ecosystem for AI-driven robotics solutions, enhancing Indonesia’s self-reliance in automation. Such technological advancements will be on display at the Manufacturing Indonesia 2024 exhibition, scheduled from December 4–7 at JI-EXPO Kemayoran, Jakarta. ASRII, alongside leading robotics firms such as PT GISMA, PT ARASI, PT STECHOQ, and SUPERNOVA, will unveil solutions designed to optimize modern industries. The Indonesian government, particularly the Ministry of Industry's Directorate of Machinery and Agricultural Equipment Industry (IPAMP), actively supports these initiatives, reinforcing a robust infrastructure for robotics adoption. The exhibition will focus on smart manufacturing, energy efficiency, carbon footprint reduction, and sustainability—key factors driving Indonesia’s long-term industrial growth.

One of the most transformative collaborations in Indonesia AI robotics sector is the partnership between ET Robotics, the country's first robot arm manufacturer, and South Korea’s Mintrobot. This collaboration facilitates the transfer of advanced robotic arm technology to Southeast Asia, positioning Jakarta as a pivotal hub for regional robotics innovation. ET Robotics brings software development expertise, ensuring seamless integration with Mintrobot’s hardware. Beyond technology exchange, this initiative is set to create skilled jobs and elevate Indonesia’s competitive edge in the global robotics industry.

The future of industrial robots in Indonesia looks promising, with the market projected to grow at a CAGR of XX% from 2025 to 2032. Government-backed initiatives such as "Making Indonesia 4.0" are accelerating automation adoption across critical industries, including food and beverage, automotive, electronics, and mining. However, Indonesia still lags behind global leaders in robot deployment, with only five robots per 10,000 employees—significantly lower than South Korea’s 930 robots per 10,000 workers. Bridging this gap requires sustained investment, workforce upskilling, and strategic international partnerships.

Another key player shaping Indonesia AI robotics landscape is Masindo Robotics, the official distributor of Pudu Robotics. Specializing in service robotics, Masindo offers a range of intelligent robots designed to improve operational efficiency across restaurants, hospitals, offices, and public spaces. Notable products include BellaBot, an advanced food delivery robot; PuduBot, engineered for seamless food transportation; HolaBot, designed for item collection; and Puductor 2, a disinfection robot enhancing public health safety. These robots leverage AI-driven navigation, obstacle avoidance, and smart interaction, making them indispensable in high-traffic environments.

Indonesia AI service robotics market is undergoing a transformative shift, with increasing investments, policy support, and global collaborations fueling innovation. As automation becomes integral to various industries, the nation is steadily positioning itself as a leading robotics hub in Southeast Asia. With advancements in smart manufacturing, AI integration, and robotics applications, Indonesia is on the path to redefining industrial and service automation for the future.

Indonesia AI Service Robotics Industry Coverage

Analysis Period

2019-2033

Actual Data

2019-2024

Base Year

2024

Estimated Year

2025

CAGR Period

2025-2033

 

Research Scope

Component

Hardwar

Softwar

Servic

Level of autonomy

Fully Autonomous Robot

Semi-Autonomous Robot

Remote-Controlled Robot

Type

Mainstream Robot

Sector-Specific Scaling Robot

Niche Application Robot

Maturing Technology Robot

Payload Capacity

Lightweight Robot

Mid-weight Robot

Heavyweight Robot

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

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*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]