Global Investment in Generative AI to Exceed US$10 Billion in 2023
With the rapid development of AI technology, the manufacturing industry has also begun to explore AI applications. To understand the current status and needs of AI applications in Taiwan's manufacturing industry,the analyst and one of the leading research institutes in Taiwan, conducted an online survey with 305 respondents located in Taiwan. This report provides the results of the survey, aiming to examine the development of AI in various industries, investment projects in AI, and planning for AI adoption.
List of Topics
- Definition of the survey and research, touching on the maturity of AI applications
- Development of AI in various industries, including electronic components, computer, electronic, and optical products, semiconductor, optoelectronics, machine tools, PCB (Printed Circuit Board), metal fasteners, machinery equipment, etc.,
- Status of investment projects in AI, including AOI (Auto Optical Inspection), industrial cameras, IoT sensing devices, edge computing (edge server), industrial arms, etc.
- Reasons and challenges for AI adoption as well as reasons for companies not adopting AI
- Planning for AI adoption, touching on AI procurement factors, AI driving forces, and AI adoption barriers
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Table of Contents
1. Survey Definition and Sample Distribution
2. Development of AI in Various Industries
3. Investment Projects in AI
4. Planning for the Implementation of AI
5. Conclusion
Executive Summary
The analyst observed changes in the overall AI investment market, with a year-on-year 34% decline in AI investment in 2022 due to external factors such as interest rate hikes. However, against the odds, investment in generative AI is growing and expected to drive increased capital market investment. Based on CB Insights' estimate that global investment in generative AI reached US$2.6 billion in 2022, the analyst predicted that the investment amount will exceed $10 billion by 2023 during the forum event.
Generative AI relies on a substantial amount of data and computational power, which in turn fuels demand and innovation in software and hardware products such as cloud services, databases, and chips. MIC emphasizes that generative AI provides emerging applications and business models across various industries, forming a generative AI ecosystem and benefiting Taiwanese ICT companies.
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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