This survey was conducted in late 2021 with an aim to present estimates of IT spending in five major industries in Taiwan, including manufacturing, construction, finance, merchandise (wholesale & retail), and healthcare. Hundreds of IT companies in Taiwan were asked a series of questions about their IT spending patterns, habits, and plans.
This report consolidates survey data on AI spending in the merchandise industry and analyzes such spending across two sub-industries of the industry, including wholesale & retail; provides spending forecasts for 2022 to help the stakeholders gain a better understanding of changes in AI spending over the years.
Table of Contents
List of TablesTable 1 Cross-analysis of Corporate Properties and AI Spending
Table 2 Population of Interest
Table 3 Analysis of Sub-Industries
List of Figures
Figure 1 Average Spending on AI in the Merchandise Industry
Figure 2 Average Spending on AI in the Merchandize Industry by Sub-Industry
Figure 3 Spending on the Development of In-house/Outsourced AI Products in the Merchandise Industry
Figure 4 Spending on In-house/Outsourced AI Development in the Merchandise Industry by Sub-Industry
Figure 5 The Adoption of AI Solutions in the Merchandise Industry
Figure 6 The Adoption of AI in the Merchandise Industry by Sub-Industry
Figure 7 The State of AI Adoption in the Merchandise Industry by Application
Figure 8 The State of AI Application Adoption in the Merchandise Industry by Sub-Industry
Figure 9 Changes in AI Adoption in the Merchandise Industry by Application in 2022
Figure 10 Changes in AI Spending in the Merchandise Industry by Sub-Industry in 2022
Figure 11 The State of AI Technology Adoption in the Merchandise Industry in 2022
Figure 12 The State of AI Technology Adoption in the Merchandise Industry by Sub-Industry in 2022
Figure 13 Pain Points in Adopting AI in the Merchandise Industry
Figure 14 Pain Points in Adopting Smart Factory in the Merchandise Industry by Sub-Industry
Figure 15 Characteristics of Samples by Sub-Industry
Figure 16 Characteristics of Samples by Employment Size
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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