Southeast Asia in this report includes 10 countries: Singapore, Thailand, Philippines, Malaysia, Indonesia, Vietnam, Myanmar, Brunei, Laos and Cambodia. With a total population of over 600 million by the end of 2021, Southeast Asia has an overall economic growth rate higher than the global average and is one of the key drivers of future global economic growth.
According to the publisher's analysis, the economic levels of the 10 Southeast Asian countries vary greatly, with Singapore being the only developed country with a per capita GDP of about US$73,000 in 2021. While Myanmar and Cambodia will have a GDP per capita of less than US$2,000 in 2021. The population and minimum wage levels also vary greatly from country to country, with Brunei, which has the smallest population, having a total population of less than 500,000 people in 2021, and Indonesia, which has the largest population, having a population of about 275 million people in 2021. The most economically advanced countries in Southeast Asia do not have a legal minimum wage, with the actual minimum wage exceeding US$400 per month (for foreign maids), while the lowest minimum wage level in Myanmar is only about US$93 per month.
At present, the development of industrial robot industry in Southeast Asian countries varies widely. According to the publisher's analysis, the industrial robot industry in Vietnam and Thailand is developing rapidly. Some Chinese companies have already established industrial robot production bases in Vietnam and are expanding their production capacity. For example, Guangdong Topstar Technology Co., Ltd. has taken Vietnam as an important production base and one of the main target markets for industrial robots.
Overall, according to the publisher's forecast, the size of Southeast Asia's industrial robot industry will maintain growth from 2023-2032. On the one hand, the lower operating costs in Southeast Asian countries attract global industrial robot companies to shift their production capacity to Southeast Asia. On the other hand, with the development of Southeast Asia's auto parts, electronics manufacturing and logistics industries, the demand for industrial robots in Southeast Asia is also growing.
Topics covered:
- Southeast Asia Industrial Robots Industry Status and Major Sources in 2018-2022
- What is the Impact of COVID-19 on Southeast Asia Industrial Robots Industry?
- Which Companies are the Major Players in Southeast Asia Industrial Robots Industry Market and What are their Competitive Benchmarks?
- Key Drivers and Market Opportunities in Southeast Asia Industrial Robots Industry
- What are the Key Drivers, Challenges, and Opportunities for Southeast Asia Industrial Robots Industry during 2023-2032?
- What is the Expected Revenue of Southeast Asia Industrial Robots Industry during 2023-2032?
- What are the Strategies Adopted by the Key Players in the Market to Increase Their Market Share in the Industry?
- What are the Competitive Advantages of the Major Players in Southeast Asia Industrial Robots Industry Market?
- Which Segment of Southeast Asia Industrial Robots Industry is Expected to Dominate the Market in 2032?
- What are the Major Adverse Factors Facing Southeast Asia Industrial Robots Industry?
Table of Contents
Methodology
Background research defines the range of products and industries, which proposes the key points of the research. Proper classification will help clients understand the industry and products in the report.
Secondhand material research is a necessary way to push the project into fast progress. The analyst always chooses the data source carefully. Most secondhand data they quote is sourced from an authority in a specific industry or public data source from governments, industrial associations, etc. For some new or niche fields, they also "double-check" data sources and logics before they show them to clients.
Primary research is the key to solve questions, which largely influence the research outputs. The analyst may use methods like mathematics, logical reasoning, scenario thinking, to confirm key data and make the data credible.
The data model is an important analysis method. Calculating through data models with different factors weights can guarantee the outputs objective.
The analyst optimizes the following methods and steps in executing research projects and also forms many special information gathering and processing methods.
1. Analyze the life cycle of the industry to understand the development phase and space.
2. Grasp the key indexes evaluating the market to position clients in the market and formulate development plans
3. Economic, political, social and cultural factors
4. Competitors like a mirror that reflects the overall market and also market differences.
5. Inside and outside the industry, upstream and downstream of the industry chain, show inner competitions
6. Proper estimation of the future is good guidance for strategic planning.
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