1.Status of Spending on Smart Factory
1.1 Total Spending on Smart Factory
1.1.1 General Analysis of Samples
1.1.2 Analysis of Samples by Sub-Industry
1.2 Spending on In-house/Outsourced Smart Factory
1.2.1 General Analysis of Samples
1.2.2 Analysis of Samples by Sub-Industry
2.Smart Factory Adoption
2.1 Current Status
2.1.1 General Analysis of Samples
2.1.2 Analysis of Samples by Sub-Industry
2.2 Smart Factory Applications and Changes in Spending
2.2.1 Analysis of Samples by Sub-Industry
2.3 Changes in Smart Factory Spending in 2022
2.3.1 General Analysis of Samples
2.3.2 Analysis of Samples by Sub-Industry
2.4 Adoption of Smart Factory Technology
2.4.1 General Analysis of Samples
2.4.2 Analysis of Samples by Sub-Industry
2.5 Pain Points in Adopting Smart Factory
2.5.1 General Analysis of Samples
2.5.2 Analysis of Samples by Sub-Industry
3.MIC Perspective
3.1 Spending on Smart Factory Higher in the Metal & Machinery and Food, Textile, and Other Industries
3.2 Share of Outsourced Smart Factory in the Information & Electronic Industry Higher than Other Industries
3.3 Data Analytics Holds the Largest Share in the Smart Factory Technology
3.4 Difficulty in Recruiting and Training Talent as the Biggest Pain Point
4.Appendix
4.1 Scope of Survey
4.2 Research Methodologies and Sample Characteristics