Sweeping robots were first popular in developed countries such as Europe and the US, and then gradually spread to other countries. According to the publisher's analysis, with the development of Southeast Asia's economy, the size of the middle class has expanded, residents have become more educated, and more and more Southeast Asian women have entered the workplace from their families, and the demand for intelligent cleaning appliances such as sweeping robots has risen. Sweeping robot brands in Southeast Asian countries are mainly foreign brands, mainly from China, South Korea, Germany and the U.S. Xiaomi, Coors and Samsung are the main leaders of the sweeping robot market in Southeast Asia. Coors' brand marketing campaign in Vietnam focuses on housewives and modern women, with over 64% of Vietnamese women interested in the topic.
Southeast Asia has cheap labor and lower production costs, taking over the global industrial chain transfer. According to the publisher's analysis, some companies have already set up sweeping robot manufacturing plants in Southeast Asia, such as Fujia, a Chinese cleaning appliance ODM OEM company, mainly engaged in vacuum cleaners, sweeping robots and other home appliances. In 2021, Fujia's production base in Vietnam went into operation and doubled its production capacity in 2022.
Southeast Asia in this report includes 10 countries: Singapore, Thailand, Philippines, Malaysia, Indonesia, Vietnam, Myanmar, Brunei, Laos and Cambodia. With a total population of nearly 700 million by the end of 2022, 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$79,000 in 2022. While Myanmar and Cambodia will have a GDP per capita of less than US$2,000 in 2022. The population and minimum wage levels of each country also vary greatly. Brunei, which has the smallest population, will have a total population of less than 500,000 people in 2022, while Indonesia, which has the largest population, will have a population of about 280 million people in 2022.
The publisher expects the Southeast Asian sweeping robot industry to continue to grow from 2023-2032.
Topics Covered
- Southeast Asia Sweeping Robot Industry Status and Major Sources in 2018-2022
- What is the Impact of COVID-19 on Southeast Asia Sweeping Robot Industry?
- Which Companies are the Major Players in Southeast Asia Sweeping Robot Industry Market and What are their Competitive Benchmarks?
- Key Drivers and Market Opportunities in Southeast Asia Sweeping Robot Industry
- What are the Key Drivers, Challenges, and Opportunities for Southeast Asia Sweeping Robot Industry during 2023-2032?
- What is the Expected Revenue of Southeast Asia Sweeping Robot 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 Sweeping Robot Industry Market?
- Which Segment of Southeast Asia Sweeping Robot Industry is Expected to Dominate the Market in 2032?
- What are the Major Adverse Factors Facing Southeast Asia Sweeping Robot Industry?
Table of Contents
1 Singapore Sweeping Robot Industry Analysis1.1 Singapore Sweeping Robot Industry Development Environment
1.1.1 Geography
1.1.2 Population
1.1.3 Economy
1.1.4 Minimum Wage in Singapore
1.2 Singapore Sweeping Robot Industry Operation 2023-2032
1.2.1 Supply
1.2.2 Demand
1.2.3 Import and Export
1.3 Singapore Major Sweeping Robot Manufacturing and Trading Companies Analysis
2 Analysis of Thailand Sweeping Robot Industry
2.1 Thailand Sweeping Robot Industry Development Environment
2.1.1 Geography
2.1.2 Population
2.1.3 Economy
2.1.4 Thailand Minimum Wage
2.2 Thailand Sweeping Robot Industry Operation 2023-2032
2.2.1 Supply
2.2.2 Demand
2.2.3 Import and Export
2.3 Thailand Major Sweeping Robot Production and Trading Companies Analysis
3 Analysis of Sweeping Robot Industry in Philippines
3.1 Development Environment of Sweeping Robot Industry in the Philippines
3.1.1 Geography
3.1.2 Population
3.1.3 Economy
3.1.4 Minimum Wage in the Philippines
3.2 Philippine Sweeping Robot Industry Operation 2023-2032
3.2.1 Supply
3.2.2 Demand
3.2.3 Import and Export
3.3 Philippines Major Sweeping Robots Manufacturers and Traders Analysis
4 Malaysia Sweeping Robot Industry Analysis
4.1 Malaysia Sweeping Robot Industry Development Environment
4.1.1 Geography
4.1.2 Population
4.1.3 Economy
4.1.4 Minimum Wage in Malaysia
4.2 Malaysia Sweeping Robot Industry Operation 2023-2032
4.2.1 Supply
4.2.2 Demand
4.2.3 Import and Export
4.3 Malaysia Major Sweeping Robot Production and Trading Companies Analysis
5 Indonesia Sweeping Robot Industry Analysis
5.1 Indonesia Sweeping Robot Industry Development Environment
5.1.1 Geography
5.1.2 Population
5.1.3 Economy
5.1.4 Indonesia Minimum Wage
5.2 Indonesia Sweeping Robot Industry Operation 2023-2032
5.2.1 Supply
5.2.2 Demand
5.2.3 Import and Export
5.3 Indonesia Major Sweeping Robot Production and Trading Companies Analysis
6 Vietnam Sweeping Robot Industry Analysis
6.1 Vietnam Sweeping Robot Industry Development Environment
6.1.1 Geography
6.1.2 Population
6.1.3 Economy
6.1.4 Vietnam Minimum Wage
6.2 Vietnam Sweeping Robot Industry Operation 2023-2032
6.2.1 Supply
6.2.2 Demand
6.2.3 Import and Export
6.3 Vietnam Major Sweeping Robot Production and Trading Companies Analysis
7 Myanmar Sweeping Robot Industry Analysis
7.1 Myanmar Sweeping Robot Industry Development Environment
7.1.1 Geography
7.1.2 Population
7.1.3 Economy
7.1.4 Myanmar Minimum Wage
7.2 Myanmar Sweeping Robot Industry Operation in 2023-2032
7.2.1 Supply
7.2.2 Demand
7.2.3 Import and Export
7.3 Myanmar Major Sweeping Robot Production and Trading Companies Analysis
8 Brunei Sweeping Robot Industry Analysis
8.1 Brunei Sweeping Robot Industry Development Environment
8.1.1 Geography
8.1.2 Population
8.1.3 Economy
8.1.4 Brunei Minimum Wage
8.2 Brunei Sweeping Robot Industry Operation 2023-2032
8.2.1 Supply
8.2.2 Demand
8.2.3 Import and Export
8.3 Brunei Major Sweeping Robot Production and Trading Companies Analysis
9 Laos Sweeping Robot Industry Analysis
9.1 Laos Sweeping Robot Industry Development Environment
9.1.1 Geography
9.1.2 Population
9.1.3 Economy
9.1.4 Minimum Wage in Laos
9.2 Laos Sweeping Robot Industry Operation 2023-2032
9.2.1 Supply
9.2.2 Demand
9.2.3 Import and Export
9.3 Laos Major Sweeping Robot Production and Trading Companies Analysis
10 Cambodia Sweeping Robot Industry Analysis
10.1 Cambodia Sweeping Robot Industry Development Environment
10.1.1 Geography
10.1.2 Population
10.1.3 Economy
10.1.4 Minimum Wage in Cambodia
10.2 Cambodia Sweeping Robot Industry Operation in 2023-2032
10.2.1 Supply
10.2.2 Demand
10.2.3 Import and Export
10.3 Cambodia Major Sweeping Robot Production and Trading Companies Analysis
11 Southeast Asia Sweeping Robot Industry Outlook 2023-2032
11.1 Southeast Asia Sweeping Robot Industry Development Impact Factors Analysis
11.1.1 Favorable Factors
11.1.2 Unfavorable Factors
11.2 Supply Analysis of Sweeping Robot Industry in Southeast Asia 2023-2032
11.3 Southeast Asia Sweeping Robot Industry Demand Analysis 2023-2032
11.4 Impact of COVID -19 Epidemic on Floor Sweeping Robot Industry
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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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 80 |
Published | April 2023 |
Forecast Period | 2023 - 2032 |
Estimated Market Value ( USD | $ 170 Million |
Forecasted Market Value ( USD | $ 394.3 Million |
Compound Annual Growth Rate | 9.8% |
Regions Covered | Asia Pacific |