AI Industrial Robotics - Southern Asia

The market size in the AI Industrial Robotics market is projected to reach US$254.90m in 2024.
The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.86%, resulting in a market volume of US$1.01bn 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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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.

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.

The AI Industrial Robotics Market in Southern Asia has been experiencing significant growth, fueled by factors such as increasing adoption of AI technologies, growing awareness of the benefits of AI in robotics, and the convenience of automated processes. This high growth rate can be attributed to the region's strong focus on industrial automation and advancements in AI technology.

Customer preferences: As the AI industrial robotics market continues to grow in Southern Asia, consumers are showing a preference for AI-powered solutions in various industries such as manufacturing, logistics, and healthcare. The increasing adoption of AI technology in these sectors is driven by the region's growing middle class and their demand for efficient and advanced solutions. Additionally, the integration of AI and robotics is seen as a way to address labor shortages and improve productivity, further fueling the market's growth.

Trends in the market: In Southern Asia, there is a growing trend of using AI industrial robotics in manufacturing and production processes. This trend is driven by the need to increase efficiency and reduce labor costs. This has led to the adoption of advanced robotics technology such as collaborative robots and autonomous mobile robots in various industries. The trajectory of this trend is expected to continue upwards, with an increasing demand for AI industrial robots in the region. This has significant implications for industry stakeholders, as it provides opportunities for cost savings and improved productivity. However, it also raises concerns about the displacement of human workers and the need for upskilling in order to work alongside these advanced technologies.

Local special circumstances: In South Asia, the AI Industrial Robotics Market is driven by the region's rapid industrialization and the increasing adoption of automation in manufacturing processes. Additionally, the availability of low-cost labor and government incentives for adopting AI technologies have further fueled market growth. In contrast, countries like Nepal and Bhutan have limited industrial development, hindering the market's growth. Furthermore, cultural preferences for manual labor and regulatory limitations on AI implementation pose challenges for market expansion in some countries.

Underlying macroeconomic factors: The growth of the AI Industrial Robotics Market within the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government initiatives, and investment in industrial infrastructure. Countries with supportive regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing adoption of automation in various industries and the rising demand for efficient production processes are driving the demand for AI industrial robotics solutions to improve productivity and reduce labor costs.

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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

Artificial intelligence (AI), the technology that allows digital computers or computer-controlled robots to perform tasks more commonly associated with intelligent beings, has been leaping into the limelight following the release of a wide variety of Generative AI models in 2023. The United States, being the largest economy in the world, has a natural advantage. Although human-like androids such as those portrayed in the science fiction movie Blade Runner are still far from reality, applications of AI such as smartphone virtual assistants and industrial robots are already widespread in U.S. society. The industry’s powerful ability to improve efficiency and increase productivity has made it of strategic importance to U.S. industries and government, both of which push the U.S. lead in the AI race.

AI Industrial Robotics - Southern Asia

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