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The artificial intelligence in manufacturing and supply chain market share in Japan is expected to increase by USD 1.79 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 13.27%.
This artificial intelligence in manufacturing and supply chain market in Japan research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers artificial intelligence in manufacturing and supply chain market segmentation in Japan by end-user (automotive, aerospace, building construction, chemical, and others) and type (software, hardware, and others services). The artificial intelligence in manufacturing and supply chain market in Japan report also offers information on several market vendors, including Alphabet Inc., General Electric Co., Intel Corp., International Business Machines Corp., Microsoft Corp., NVIDIA Corp., RapidMiner Inc., Salesforce.com Inc., Samsung Electronics Co. Ltd., and Siemens AG among others.
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The demand for automation to improve productivity is notably driving the artificial intelligence in manufacturing and supply chain market growth in Japan, although factors such as shortage of ai technology experts may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the artificial intelligence in manufacturing and supply chain industry in Japan. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key Artificial Intelligence in Manufacturing and Supply Chain Market Driver in Japan
One of the key factors driving growth in the artificial intelligence in manufacturing and supply chain market in Japan is the demand for automation to improve productivity. Advancements in cloud computing technologies, big data storage, and analytics have driven the adoption of AI solutions in the manufacturing sector. This is mainly because they improve production efficiency and performance. For manufacturing companies, integrating AI into the existing information and communications system is time-consuming and expensive. AI solutions provide plant managers with critical information such as machinery health and maintenance data to make more informed business decisions. Integrating AI into the legacy system will improve the bottom-line productivity of the organization through intelligent automation, labor and capital growth, and innovation. Innovation and intelligent automation are helping manufacturers to increase productivity. Manufacturers are increasingly investing in automation technologies, IoT, and AI to increase production efficiency, thus driving market growth during the forecast period.
Key Artificial Intelligence in Manufacturing and Supply Chain Market Trend in Japan
The increased availability of cloud-based applications is artificial intelligence in manufacturing and supply chain market trend in Japan that's is expected to have a positive impact in the coming years. The foundation of AI consists of ML and deep-learning neural network technologies. Based on the perception and interaction with technology, AI has prompted many companies to use the technology for a wide variety of user cases. AI applications across supply chain operations include recommendation engines, pricing optimization, lead generation, chatbots, supply chain optimization, and many others. However, to adopt AI technologies in an on-premises data center, companies would require enough computers and data storage capabilities to process the data faster. Also, companies looking at establishing their own in-house products have realized that this can be an expensive proposition. Therefore, cloud-based software and platforms help companies in overcoming the barriers involved in AI adoption. These factors have increased the adoption of cloud-based AI products and services in supply chain operations. Early adopters of AI have also revealed that to acquire AI capabilities; the easiest path is integrating enterprise software with AI. This software is primarily cloud-based and accessed through either a public or private cloud. Thus, the increasing adoption of cloud-based AI solutions in manufacturing and supply chain operations is anticipated to boost market growth during the forecast period.
Key Artificial Intelligence in Manufacturing and Supply Chain Market Challenge in Japan
The shortage of AI technology experts will be a major challenge for the artificial intelligence in manufacturing and supply chain market in Japan during the forecast period. Most companies do not take full advantage of AI due to a lack of expertise and required resources. Machine learning and deep learning applications need access to large data sets and specialized infrastructure and processing power. AI experts are difficult to find as there is big competition among the top technology companies to hire the best talent. Companies also need to look at the appropriate use-cases of AI/machine learning algorithm deployment before implementing it on a large scale. All of these require high investments, which put the ability to take advantage of AI out of reach for most companies. The lack of experts is slowing down the development of strong AI technology. The expertise currently is toward the development of narrow criteria for AI technology. This will result in the lower adoption of AI in some major sectors such as automotive, aerospace, construction, and others. Furthermore, the development of AI has created many jobs, and some institutions have courses designed to train individuals. However, this has not been beneficial for the expert base of strong AI developers, which has been one of the potential challenges.
This artificial intelligence in manufacturing and supply chain market in Japan analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.
Technavio categorizes the artificial intelligence in manufacturing and supply chain market in Japan as a part of the global systems software market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the artificial intelligence in manufacturing and supply chain market in Japan during the forecast period.
The report analyzes the market's competitive landscape and offers information on several market vendors, including:
This statistical study of the artificial intelligence in manufacturing and supply chain market in Japan encompasses successful business strategies deployed by the key vendors. The artificial intelligence in manufacturing and supply chain market in Japan is fragmented and the vendors are deploying growth strategies such as focusing on acquiring smaller brands to increase their market presence to compete in the market.
Alphabet Inc. - The company offers artificial intelligence solutions in manufacturing and supply chain to optimize operations and product development.
To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
The artificial intelligence in manufacturing and supply chain market in Japan forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.
Our report provides extensive information on the value chain analysis for the artificial intelligence in manufacturing and supply chain market in Japan, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.
The value chain of the systems software market includes the following core components:
The report has further elucidated on other innovative approaches being followed by service providers to ensure a sustainable market presence.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Five Forces Analysis
5 Market Segmentation by End-user
6 Market Segmentation by Type
7 Customer landscape
8 Drivers, Challenges, and Trends
9 Vendor Landscape
10 Vendor Analysis
11 Appendix
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