Taiwan Merchandise Industry: AI Spending in 2022
Thanks to the rapid advances in information and communications technologies, companies in Taiwan have adopted a wide variety of hardware, software, and services to support daily business operations, planning to boost their IT (Information Technology) spending in 2022. They continue to increase IT budgets to integrate existing systems and resources more effectively, thereby reducing operating costs and improving overall productivity. Taiwan's MIC (Market Intelligence & Consulting Institute) conducted surveys 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. The findings are based on data from MIC's IT Spending Survey conducted in late 2021. 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 and retail; provides spending forecasts for 2022 to help the stakeholders gain a better understanding of changes in AI spending over the years.
LIST OF TABLES
Table 1 Cross-analysis of Corporate Properties and AI Spending
Table 2 Population of Interest
Table 3 Analysis of Sub-Industries
Table 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 Changes in Spending on AI in the Merchandise Industry by Application in 2021
Figure 8 Changes in Spending on AI in the Merchandise Industry by Sub-Industry
Figure 9 Changes in Spending on AI in the Merchandise Industry by Application in 2022
Figure 10 Changes in Spending on Smart Factory in the Manufacturing Industry by Sub-Industry in 2022
Figure 11 AI Technology Adopted in the Wholesale and Retail Industry in 2022
Figure 12 Smart Factory Technology Adopted in the Manufacturing Industry by Sub-Industry
Figure 13 Pain Points in Adopting AI in the Manufacturing Industry
Figure 14 Pain Points in Adopting Smart Factory in the Manufacturing Industry by Sub-Industry
Figure 15 Characteristics of Samples by Sub-Industry
Figure 16 Characteristics of Samples by Employment Size
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 Changes in Spending on AI in the Merchandise Industry by Application in 2021
Figure 8 Changes in Spending on AI in the Merchandise Industry by Sub-Industry
Figure 9 Changes in Spending on AI in the Merchandise Industry by Application in 2022
Figure 10 Changes in Spending on Smart Factory in the Manufacturing Industry by Sub-Industry in 2022
Figure 11 AI Technology Adopted in the Wholesale and Retail Industry in 2022
Figure 12 Smart Factory Technology Adopted in the Manufacturing Industry by Sub-Industry
Figure 13 Pain Points in Adopting AI in the Manufacturing Industry
Figure 14 Pain Points in Adopting Smart Factory in the Manufacturing Industry by Sub-Industry
Figure 15 Characteristics of Samples by Sub-Industry
Figure 16 Characteristics of Samples by Employment Size
