Artificial Intelligence in Supply Chain Market Highlights 2022: To Reach A New High Value By 2029

Artificial Intelligence in Supply Chain Market size was valued at US$ 2.29 Bn. in 2021 and the total revenue is expected to grow at 45.5 % through 2022 to 2029, reaching nearly US$ 46.15 Bn.

Artificial Intelligence in Supply Chain Market size was valued at US$ 2.29 Bn. in 2021 and the total revenue is expected to grow at 45.5 % through 2022 to 2029, reaching nearly US$ 46.15 Bn.

Artificial Intelligence in Supply Chain Market Overview:

With an emphasis on worldwide market trends and analysis, the "Global Artificial Intelligence in Supply Chain Market Analysis" is a comprehensive examination of the Artificial Intelligence in Supply Chain Market market. This study seeks to provide an overview of the Artificial Intelligence in Supply Chain Market industry as well as detailed market segmentation by segment and geography. The Artificial Intelligence in Supply Chain Market market is expected to expand rapidly over the forecast period. Important market positioning data for the top Artificial Intelligence in Supply Chain Market firms is included in the study, along with important market trends and business prospects.

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Market Scope: 

Top-down and bottom-up approaches are used to validate the market size and estimate the market size by different segments. The market estimations in the study are based on the selling price, minus any discounts given by the seller, seller, seller, or seller (wholesaler, distributor, dealer, or manufacturer). For the purposes of calculating percentage splits, market shares, and segment breakdowns, weights based on usage rate and average sale price are applied to each area. The country-by-country divisions of the overall market and its sub-segments are determined using the percentage adoption or usage of the specified market Size in the pertinent region or country.

Segmentation:

The Artificial Intelligence in Supply Chain market is further divided into four technology-based subsegments: Machine Learning, Computer Vision, Natural Language Processing, and Context-Aware Computing. In 2021, the Machine Learning market sector had the highest market share of xx%. Increased government activity, growing demand for AI-based intelligent solutions, and the capacity of AI solutions to manage and analyse vast amounts of data efficiently as well as quickly search for, process, and respond to abnormalities could all be contributing factors to this increase. In 2021, Computer Vision had the second-largest market share at xx%. The use of computer vision technology in supply chain operations is rising quickly across a range of industrial sectors.

Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning & Logistics are the subsectors of the Artificial Intelligence in Supply Chain market based on Application. In 2021, the Supply Chain Planning sector had the most market share, at xx%. This industry's expansion can be attributed to the rising demand for better factory scheduling and production planning, as well as to the increasing agility and simplification of supply chain decision-making. The expansion of this market sector is also being aided by automation of current processes and workflows to reconsider the supply chain planning paradigm.

 

1 Global Artificial Intelligence in Supply Chain Market, by Offering (2021-2029)
• Hardware
• Software
• Services


2 Global Artificial Intelligence in Supply Chain Market, by Technology (2021-2029)
• Machine Learning
• Computer Vision
• Natural Language Processing
• Context-Aware Computing


3 Global Artificial Intelligence in Supply Chain Market, by Application (2021-2029)
• Supply Chain Planning
• Warehouse Management
• Fleet Management
• Virtual Assistant
• Risk Management
• Inventory Management
• Planning & Logistics


4 Global Artificial Intelligence in Supply Chain Market, by End-User (2021-2029)
• Manufacturing
• Food and Beverages
• Healthcare
• Automotive
• Aerospace
• Retail
• Consumer-Packaged Goods

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Key Players:

The identification of industry leaders and the estimation of market revenue both rely on primary and secondary research. In-depth interviews with a range of thought leaders and industry professionals, including CEOs, marketing experts, and seasoned front-line staff were part of the core research. Examining well-known manufacturers' annual and financial reports was considered secondary research. Percentage splits, market shares, growth rates, and breakdowns of the global market are computed using secondary data and then cross-checked against source data. The following are a few companies working in the Artificial Intelligence in Supply Chain Market industry.

  • • Microsoft Corporation
    • Nvidia Corporation
    • Oracle Corporation
    • IBM Corporation
    • Samsung (South Korea)
    • Lamasoft Inc.
    • SAP
    • General Electric
    • Deutsche Post AG DHL
    • Xilinx
    • Micron Technology, Inc.
    • FedEx
    • ClearMetalInc
    • C.H. Robinson
    • E2open
    • Relex Solution
    • Presenso
    • Cainiao Network
    • Splice Machine
    • Logility

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Regional Analysis:

The Artificial Intelligence in Supply Chain Market research focuses into geographic analysis, which is further separated by sub-regions and nations. Profit projections and market share statistics for each country are included in this section of the research.This part of the study looks at the share and growth rate of each region and nation over the anticipated time frame. After taking into account political, economic, social, and technological factors for all five regions, including North America, Europe, Asia Pacific, the Middle East, Africa, and South America technical issues effecting the Artificial Intelligence in Supply Chain Market market in various sectors.

COVID-19 Impact Analysis on Artificial Intelligence in Supply Chain Market:

 Customer behaviour has changed as a result of the COVID-19 virus across all areas of society. On the other hand, businesses will need to change their strategy to take into account shifting market supply. This report provides an overview of the COVID-19's influence on the Artificial Intelligence in Supply Chain Market market and will assist you in developing your business in accordance with the new industry norms.

Under the COVID-19 Impact section, the Artificial Intelligence in Supply Chain Market Report delivers a 360-degree research ranging from the agile supply chain and trade restrictions to regional government policies and the firm's future impact. Provided are primary market research (2021-2027), venture rivalry examples, the advantages and disadvantages of huge company channels, and industry growth trends (2021-2027).

Key Questions Answered in the Artificial Intelligence in Supply Chain Market Report are:

  • How big is the market for Artificial Intelligence in Supply Chain Market?
  • Which regional market will become the dominant one in the next years?
  • Which application category is expected to develop the fastest?
  • What opportunities for growth could exist in the Artificial Intelligence in Supply Chain Market industry in the next years?
  • What are the most significant future challenges that the Artificial Intelligence in Supply Chain Market market may face?
  • Who are the market leaders in the Artificial Intelligence in Supply Chain Market category?
  • What are the main trends that are influencing market growth?

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