DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Manufacturing and Supply Chain Market in Japan 2022-2026" report has been added to ResearchAndMarkets.com's offering.
The publisher has been monitoring the artificial intelligence in manufacturing and supply chain market in Japan and it is poised to grow by $1.79 billion during 2022-2026 progressing at a CAGR of 13.27% during the forecast period.
The report on the artificial intelligence in manufacturing and supply chain market in Japan provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment. The market is driven by the demand for automation to improve productivity and rise in investments and research and development in AI startups.
The artificial intelligence in manufacturing and supply chain market in Japan analysis includes end-user and type segments. This study identifies the evolving industrial IoT and big data integration as one of the prime reasons driving the artificial intelligence in manufacturing and supply chain market growth in Japan during the next few years.
- Alphabet Inc.
- General Electric Co.
- Intel Corp.
- International Business Machines Corp.
- Microsoft Corp.
- NVIDIA Corp.
- RapidMiner Inc.
- Salesforce.com Inc.
- Samsung Electronics Co. Ltd.
- Siemens AG
The report on artificial intelligence in manufacturing and supply chain market in Japan covers the following areas:
- Artificial intelligence in manufacturing and supply chain market sizing
- Artificial intelligence in manufacturing and supply chain market forecast
- Artificial intelligence in manufacturing and supply chain market industry analysis
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth.
Key Topics Covered:
1. Executive Summary
2. Market Landscape
3. Market Sizing
3.1 Market definition
3.2 Market segment analysis
3.3 Market size 2021
3.4 Market outlook: Forecast for 2021 - 2026
3.4.1 Estimating growth rates for emerging and high-growth markets
3.4.2 Estimating growth rates for mature markets
4. Five Forces Analysis
5. Market Segmentation by End-user
6. Market Segmentation by Type
7. Customer landscape
8. Drivers, Challenges, and Trends
8.1 Market drivers
8.1.1 Demand for automation to improve productivity
8.1.2 Rise in investments and research and development in AI startups
8.1.3 Evolving industrial IoT and big data integration
8.2 Market challenges
8.2.1 Shortage of AI technology experts
8.2.2 Data privacy and compliance maintenance
8.2.3 Data quality and choosing the right machine learning algorithm
8.3 Market trends
8.3.1 Increased availability of cloud-based applications
8.3.2 Analyzing IoT data faster
8.3.3 Increasing number of strategic partnerships and acquisitions
9. Vendor Landscape
9.2 Landscape disruption
9.3 Competitive scenario
10. Vendor Analysis
For more information about this report visit https://www.researchandmarkets.com/r/xnoji7