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AI Industrial Robotics - Thailand

Thailand
  • The market size in the AI Industrial Robotics market is projected to reach US$52.37m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.62%, resulting in a market volume of US$205.80m by 2030.
  • In global comparison, the largest market size will be United States (US$2.94bn in 2024).

Definition:
Artificial intelligence (AI) industrial robotics refers to the integration of artificial intelligence technologies and capabilities into industrial robots for enhanced automation and intelligent decision-making in manufacturing and industrial processes. These robots are equipped with AI algorithms, machine learning, computer vision, and other AI techniques to perform tasks such as assembly, material handling, quality control, and predictive maintenance with higher precision, efficiency, and adaptability. By leveraging AI, industrial robots can analyze data, learn from experience, and optimize their operations in terms of increased productivity, reduced costs, improved safety, and streamlined manufacturing workflows in various industries.

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 Industrial Robotics companies and market revenue data from the Statista robotics market. Key players of the market include companies such as Universal Robots, ABB, and Fanuc.

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In-Scope

  • Collaborative robots (cobots) that collaborate with human workers, such as Universal Robots' UR5 and UR10
  • Automated guided vehicles (AGVs) that move materials and products through a manufacturing plant, such as KION Group's Linde Robotics
  • Robot arms that perform repetitive tasks on an assembly line, such as ABB's YuMi and Fanuc's LR Mate.

Out-Of-Scope

  • Drones used for surveying or inspecting industrial sites, such as DJI's Matrice series and Parrot's ANAFI USA
  • Self-driving cars or trucks used for transportation of goods or people, such as Tesla's Semi and Waymo's autonomous vans
  • Virtual assistants or chatbots used for customer service and/or sales support, such as IBM Watson Assistant and Google Dialogflow.
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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

    Analyst Opinion

    The AI Industrial Robotics Market in Thailand is experiencing rapid growth, fueled by the rising demand for AI-powered automated solutions in various industries. Factors such as increasing investments in AI technology and the need for efficient and cost-effective manufacturing processes are driving this elevated growth rate. The convenience and accuracy offered by AI industrial robotics are also contributing to the market's growth.

    Customer preferences:
    With the rise of AI industrial robotics in Thailand, there has been a significant shift towards automation and smart manufacturing in industries such as automotive, electronics, and food processing. This trend is fueled by the country's growing demand for advanced technology and efficiency in production processes. Additionally, the increasing adoption of AI technologies in manufacturing is driven by the need for improved precision, speed, and cost-effectiveness. The integration of AI industrial robotics is also seen as a response to the shortage of skilled labor in the country's manufacturing sector.

    Trends in the market:
    In Thailand, we are seeing a rise in the use of AI industrial robotics to increase efficiency and reduce costs in manufacturing processes. This trend is expected to continue as the country aims to become a hub for high-tech production. With the government investing in initiatives to promote the adoption of AI technology in various industries, we can expect to see further growth in the AI industrial robotics market. This will have significant implications for industry stakeholders, as it will lead to increased competitiveness and productivity. Additionally, the development of a skilled workforce in this area will be crucial for sustaining this trend in the long term.

    Local special circumstances:
    In Thailand, the AI Industrial Robotics Market is experiencing rapid growth due to government initiatives promoting the adoption of automation and robotics in industries like manufacturing, logistics, and healthcare. Additionally, the country's strategic location and developed infrastructure make it an attractive hub for regional AI investments. However, the market faces challenges due to the shortage of skilled labor and slow regulatory framework for the use of AI technology. These factors create a unique market dynamic that differentiates it from other markets within the AI Robotics Market in the Artificial Intelligence Market.

    Underlying macroeconomic factors:
    The AI Industrial Robotics Market within the Artificial Intelligence Market in Thailand is also impacted by macroeconomic factors such as technological advancements, government support, and investment in manufacturing infrastructure. Countries with favorable business environments and strong investments in industrial robotics are experiencing faster market growth compared to regions with regulatory challenges and limited funding for industrial development. Additionally, the rising demand for automation in various industries, such as automotive and electronics, is driving the growth of the AI Industrial Robotics Market in Thailand.

    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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    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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