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Artificial Intelligence in Manufacturing and Supply Chain Market in Japan by End-user and Type - Forecast and Analysis 2022-2026

  • Published: Mar 2022
  • Pages: 118
  • SKU: IRTNTR72739
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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.

What will the Artificial Intelligence in Manufacturing and Supply Chain Market Size in Japan be During the Forecast Period?

Artificial Intelligence in Manufacturing and Supply Chain Market Size

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Artificial Intelligence in Manufacturing and Supply Chain Market in Japan: Key Drivers, Trends, and Challenges

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.

Parent Market Analysis

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.

Who are the Major Artificial Intelligence in Manufacturing and Supply Chain Market Vendors in Japan?

The report analyzes the market's competitive landscape and 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.
  • Siemens AG

 

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.

Product Insights and News

  • 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.

Artificial Intelligence in Manufacturing and Supply Chain Market in Japan Value Chain Analysis

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:

  • Inputs
  • Software development
  • Marketing and distribution
  • Post-sales services
  • Market innovation

The report has further elucidated on other innovative approaches being followed by service providers to ensure a sustainable market presence.

What are the Revenue-generating End-user Segments in the Artificial Intelligence in Manufacturing and Supply Chain Market in Japan?

Artificial Intelligence in Manufacturing and Supply Chain Market Market segmentation by region

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The artificial intelligence in manufacturing and supply chain market share growth in Japan by the automotive segment will be significant during the forecast period. As the middle-class population grows and increases in disposable income, the sales of the automotive sector are expected to increase as one of the aspirations of the middle-class population is owning a car. The automotive production in Japan is estimated to increase during the forecast period. As the market for the automotive sector grows, original equipment manufacturers (OEMs) will increase the production of auto parts that are used in the final automotive vehicles. Thus, the increasing demand for efficient and advanced solutions is needed to manufacture and supply raw materials automotive parts and distribute the final vehicles, which, in turn, will drive the AI in manufacturing and supply chain market in Japan.

This report provides an accurate prediction of the contribution of all the segments to the growth of the artificial intelligence in manufacturing and supply chain market size in Japan and actionable market insights on post COVID-19 impact on each segment.

 

Artificial Intelligence in Manufacturing and Supply Chain Market Scope in Japan

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 13.27%

Market growth 2022-2026

$ 1.79 billion

Market structure

Fragmented

YoY growth (%)

12.25

Regional analysis

Japan

Competitive landscape

Leading companies, Competitive strategies, Consumer engagement scope

Key companies profiled

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

Market dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for the forecast period

Customization purview

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What are the Key Data Covered in this Artificial Intelligence in Manufacturing and Supply Chain Market in Japan Report?

  • CAGR of the market during the forecast period 2022-2026
  • Detailed information on factors that will drive artificial intelligence in manufacturing and supply chain market growth in Japan during the next five years
  • Precise estimation of the artificial intelligence in manufacturing and supply chain market size in Japan and its contribution to the parent market
  • Accurate predictions on upcoming trends and changes in consumer behavior
  • The growth of the artificial intelligence in manufacturing and supply chain industry in Japan
  • A thorough analysis of the market's competitive landscape and detailed information on vendors
  • Comprehensive details of factors that will challenge the growth of artificial intelligence in manufacturing and supply chain market vendors in Japan

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1 Executive Summary

2 Market Landscape

  • 2.1 Market ecosystem
    • Exhibit 01: Parent market
    • Exhibit 02: Market characteristics
  • 2.2 Value chain analysis
    • Exhibit 03: Value chain analysis : Systems Software

3 Market Sizing

  • 3.1 Market definition
    • Exhibit 04: Offerings of vendors included in the market definition
  • 3.2 Market segment analysis
    • Exhibit 05: Market segments
  • 3.3 Market size 2021
    • 3.4 Market outlook: Forecast for 2021 - 2026
      • Exhibit 06: Japan - Market size and forecast 2021 - 2026 ($ million)
      • Exhibit 07: Japan market: Year-over-year growth 2021 - 2026 (%)

    4 Five Forces Analysis

    • 4.1 Five forces summary
      • Exhibit 08: Five forces analysis 2021 & 2026
    • 4.2 Bargaining power of buyers
      • Exhibit 09: Bargaining power of buyers
    • 4.3 Bargaining power of suppliers
      • Exhibit 10: Bargaining power of suppliers
    • 4.4 Threat of new entrants
      • Exhibit 11: Threat of new entrants
    • 4.5 Threat of substitutes
      • Exhibit 12: Threat of substitutes
    • 4.6 Threat of rivalry
      • Exhibit 13: Threat of rivalry
    • 4.7 Market condition
      • Exhibit 14: Market condition - Five forces 2021

    5 Market Segmentation by End-user

    • 5.1 Market segments
      • Exhibit 15: End-user - Market share 2021-2026 (%)
    • 5.2 Comparison by End-user
      • Exhibit 16: Comparison by End-user
    • 5.3 Automotive - Market size and forecast 2021-2026
      • Exhibit 17: Automotive - Market size and forecast 2021-2026 ($ million)
      • Exhibit 18: Automotive - Year-over-year growth 2021-2026 (%)
    • 5.4 Aerospace - Market size and forecast 2021-2026
      • Exhibit 19: Aerospace - Market size and forecast 2021-2026 ($ million)
      • Exhibit 20: Aerospace - Year-over-year growth 2021-2026 (%)
    • 5.5 Building construction - Market size and forecast 2021-2026
      • Exhibit 21: Building construction - Market size and forecast 2021-2026 ($ million)
      • Exhibit 22: Building construction - Year-over-year growth 2021-2026 (%)
    • 5.6 Chemical - Market size and forecast 2021-2026
      • Exhibit 23: Chemical - Market size and forecast 2021-2026 ($ million)
      • Exhibit 24: Chemical - Year-over-year growth 2021-2026 (%)
    • 5.7 Others - Market size and forecast 2021-2026
      • Exhibit 25: Others - Market size and forecast 2021-2026 ($ million)
      • Exhibit 26: Others - Year-over-year growth 2021-2026 (%)
    • 5.8 Market opportunity by End-user
      • Exhibit 27: Market opportunity by End-user

    6 Market Segmentation by Type

    • 6.1 Market segments
      • Exhibit 28: Type - Market share 2021-2026 (%)
    • 6.2 Comparison by Type
      • Exhibit 29: Comparison by Type
    • 6.3 Software - Market size and forecast 2021-2026
      • Exhibit 30: Software - Market size and forecast 2021-2026 ($ million)
      • Exhibit 31: Software - Year-over-year growth 2021-2026 (%)
    • 6.4 Hardware - Market size and forecast 2021-2026
      • Exhibit 32: Hardware - Market size and forecast 2021-2026 ($ million)
      • Exhibit 33: Hardware - Year-over-year growth 2021-2026 (%)
    • 6.5 Others services - Market size and forecast 2021-2026
      • Exhibit 34: Others services - Market size and forecast 2021-2026 ($ million)
      • Exhibit 35: Others services - Year-over-year growth 2021-2026 (%)
    • 6.6 Market opportunity by Type
      • Exhibit 36: Market opportunity by Type

    7 Customer landscape

    8 Drivers, Challenges, and Trends

    • 8.1 Market drivers
      • 8.2 Market challenges
        • Exhibit 38: Impact of drivers and challenges
      • 8.3 Market trends

        9 Vendor Landscape

        • 9.1 Vendor Landscape
          • Exhibit 39: Vendor landscape
        • 9.2 Landscape disruption
          • Exhibit 40: Landscape disruption
          • Exhibit 41: Industry risks
        • 9.3 Competitive scenario

          10 Vendor Analysis

          • 10.1 Vendors covered
            • Exhibit 42: Vendors covered
          • 10.2 Market positioning of vendors
            • Exhibit 43: Market positioning of vendors
          • 10.3 Alphabet Inc.
            • Exhibit 44: Alphabet Inc. - Overview
            • Exhibit 45: Alphabet Inc. - Business segments
            • Exhibit 46: Alphabet Inc. - Key offerings
            • Exhibit 47: Alphabet Inc. - Segment focus
          • 10.4 General Electric Co.
            • Exhibit 48: General Electric Co. - Overview
            • Exhibit 49: General Electric Co. - Business segments
            • Exhibit 50: General Electric Co. - Key offerings
            • Exhibit 51: General Electric Co. - Segment focus
          • 10.5 Intel Corp.
            • Exhibit 52: Intel Corp. - Overview
            • Exhibit 53: Intel Corp. - Business segments
            • Exhibit 54: Intel Corp - Key news
            • Exhibit 55: Intel Corp. - Key offerings
            • Exhibit 56: Intel Corp. - Segment focus
          • 10.6 International Business Machines Corp.
            • 10.7 Microsoft Corp.
              • Exhibit 61: Microsoft Corp. - Overview
              • Exhibit 62: Microsoft Corp. - Business segments
              • Exhibit 63: Microsoft Corp. - Key news
              • Exhibit 64: Microsoft Corp. - Key offerings
              • Exhibit 65: Microsoft Corp. - Segment focus
            • 10.8 NVIDIA Corp.
              • Exhibit 66: NVIDIA Corp. - Overview
              • Exhibit 67: NVIDIA Corp. - Business segments
              • Exhibit 68: NVIDIA Corp. - Key offerings
              • Exhibit 69: NVIDIA Corp. - Segment focus
            • 10.9 RapidMiner Inc.
              • Exhibit 70: RapidMiner Inc. - Overview
              • Exhibit 71: RapidMiner Inc. - Product and service
              • Exhibit 72: RapidMiner Inc. - Key offerings
            • 10.10 Salesforce.com Inc.
              • Exhibit 73: Salesforce.com Inc. - Overview
              • Exhibit 74: Salesforce.com Inc. - Product and service
              • Exhibit 75: Salesforce.com Inc. - Key news
              • Exhibit 76: Salesforce.com Inc. - Key offerings
            • 10.11 Samsung Electronics Co. Ltd.
              • Exhibit 77: Samsung Electronics Co. Ltd. - Overview
              • Exhibit 78: Samsung Electronics Co. Ltd. - Business segments
              • Exhibit 79: Samsung Electronics Co. Ltd. - Key offerings
              • Exhibit 80: Samsung Electronics Co. Ltd. - Segment focus
            • 10.12 Siemens AG
              • Exhibit 81: Siemens AG - Overview
              • Exhibit 82: Siemens AG - Business segments
              • Exhibit 83: Siemens AG - Key offerings
              • Exhibit 84: Siemens AG - Segment focus

            11 Appendix

            • 11.1 Scope of the report
              • 11.2 Currency conversion rates for US$
                • Exhibit 85: Currency conversion rates for US$
              • 11.3 Research methodology
                • Exhibit 86: Research Methodology
                • Exhibit 87: Validation techniques employed for market sizing
                • Exhibit 88: Information sources
              • 11.4 List of abbreviations
                • Exhibit 89: List of abbreviations

              Research Framework

              Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

              TechnavioINFORMATION SOURCES

              Primary sources

              • Manufacturers and suppliers
              • Channel partners
              • Industry experts
              • Strategic decision makers

              Secondary sources

              • Industry journals and periodicals
              • Government data
              • Financial reports of key industry players
              • Historical data
              • Press releases
              Technavio

              TechnavioDATA ANALYSIS

              Data Synthesis

              • Collation of data
              • Estimation of key figures
              • Analysis of derived insights

              Data Validation

              • Triangulation with data models
              • Reference against proprietary databases
              • Corroboration with industry experts
              Technavio

              TechnavioREPORT WRITING

              Qualitative

              • Market drivers
              • Market challenges
              • Market trends
              • Five forces analysis

              Quantitative

              • Market size and forecast
              • Market segmentation
              • Geographical insights
              • Competitive landscape
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              Artificial Intelligence in Manufacturing and Supply Chain Market market growth will increase by $1.79 bn during 2022-2026.
              The artificial intelligence in manufacturing and supply chain market market is expected to grow at a CAGR of 13.27% during 2022-2026.
              Technavio has segmented the artificial intelligence in manufacturing and supply chain market market by end-user (Automotive, Aerospace, Building construction, Chemical, and Others) ,type (Software, Hardware, and Other services) , and geographic (Japan).
              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 are a few of the key vendors in the artificial intelligence in manufacturing and supply chain market market.
              Japan will register the highest growth rate of 100% among the other regions. Therefore, the artificial intelligence in manufacturing and supply chain market market in Japan is expected to garner significant business opportunities for the vendors during the forecast period.
              The key factors driving the artificial intelligence in manufacturing and supply chain market market growth are:
              • Demand for automation to improve productivity
              • Increased availability of cloud-based applications
              The artificial intelligence in manufacturing and supply chain market market vendors should focus on grabbing business opportunities from the automotive segment as it accounted for the largest market share in the base year.
              • What are the key global market and the regional market share?
              • What are the revenue-generating key market segments?
              • What are the key factors driving and challenging this market’s growth?
              • Who are the key market vendors and their growth strategies?
              • What are the latest trends influencing the growth of this market?
              • What are the variables influencing the market growth in the primary regions?
              • What are the factors influencing the growth of the parent market?
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              • Data on revenue-generating market segments
              • Details on the market shares of various regions
              • Five-force market analysis

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