Artificial Intelligence in Supply Chain Market Surge: Forecasting Robust Growth and Evolution

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The Artificial intelligence (AI) is a technology that allows machines, software, and systems to compete with human intelligence and behaviour in some areas.

Artificial Intelligence in Supply Chain Market size was valued at US$ 4.85 Bn. in 2023 and the total revenue is expected to grow at 45.5 % through 2024 to 2030, reaching nearly US$ 67.08 Bn.

Artificial Intelligence in Supply Chain Market Overview:

Maximize Market Research is a Business Consultancy Firm that has published a detailed analysis of the Artificial Intelligence in Supply Chain Market. The report includes key business insights, demand analysis, pricing analysis, and competitive landscape. The report provides the current state of the Artificial Intelligence in Supply Chain market by thorough analysis, and projections are made up to 2030.

Explore additional details by clicking the link provided:https://www.maximizemarketresearch.com/request-sample/63829/ 

Artificial Intelligence in Supply Chain Market Scope and Methodology:

The Artificial Intelligence in Supply Chain market report covers a wide range of topics that impact market dynamics, trends, opportunities, and challenges. It also includes a thorough analysis of the worldwide landscape. This comprehensive analysis also looks at how the market is divided into segments according to services category, company size, end-user sector, and geographical regions. The study also closely examines major industry participants, assessing their approaches, line of business, results, and place in the Artificial Intelligence in Supply Chain market. To give a comprehensive picture of the market environment, a thorough evaluation of macroeconomic variables, regulatory frameworks, and technical developments is also carried out.

Also, the research offers detailed insights into the dynamics of the Artificial Intelligence in Supply Chain market, including opportunities, challenges, constraints, and drivers. Using a bottom-up methodology, estimates of the size of the worldwide and regional Artificial Intelligence in Supply Chain market were developed. The study provides a thorough value chain analysis that clarifies the Artificial Intelligence in Supply Chain production process and incorporates information about distributors, consumers, and raw materials. Furthermore, the use of PORTER and PESTLE studies, in conjunction with evaluations of market attractiveness, enhances comprehension of the Artificial Intelligence in Supply Chain market on a global and micro level.

Artificial Intelligence in Supply Chain Market Segmentation:

by Offering

Hardware
Software
Services

by Technology

Machine Learning
Computer Vision
Natural Language Processing
Context-Aware Computing

Context-Aware Computing, Natural Language Processing, Computer Vision, and Machine Learning are the subsegments of the Artificial Intelligence in Supply Chain market based on technology. In 2023, the Machine Learning sector accounted for the greatest portion of the market. This growth may be ascribed to increased government activity, growing need for AI-based intelligent solutions, and AI solutions' capacity to quickly scan, process, and react to abnormalities in addition to handling and analyzing vast volumes of data. In 2023, Computer Vision had the second-largest market share. The use of computer vision technology in supply chain operations is growing quickly across a range of industrial sectors. The availability of automation and growing awareness of AI's advantages are driving the segment's growth.

by Application

Supply Chain Planning
Warehouse Management
Fleet Management
Virtual Assistant
Risk Management
Inventory Management
Planning & Logistics

Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning & Logistics are the sub-segments of the Artificial Intelligence in Supply Chain market, depending on the application. In 2023, the segment with the biggest market share was Supply Chain Planning. This industry's expansion can be attributed to the rising need for better production planning and factory scheduling, as well as the increasing flexibility and simplification of supply chain decision-making. The expansion of this market is also being aided by the automation of current workflows and procedures in order to reconsider the supply chain planning paradigm.

by End-User

Manufacturing
Food and Beverages
Healthcare
Automotive
Aerospace
Retail
Consumer-Packaged Goods

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Artificial Intelligence in Supply Chain Market Key Players:

1. Intel Corporation
2. Amazon.com, Inc.
3. Google LLC
4. Microsoft Corporation
5. Nvidia Corporation
6. Oracle Corporation
7. IBM Corporation
8. Samsung (South Korea)
9. Lamasoft Inc.
10.SAP
11.General Electric
12.Deutsche Post AG DHL
13.Xilinx
14.Micron Technology, Inc.
15.FedEx
16.ClearMetalInc
17.C.H. Robinson
18.E2open
19.Relex Solution
20.Presenso
21.Cainiao Network
22.Splice Machine
23.Logility
24.LLamasoft Inc.
25.Micron Technology

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Artificial Intelligence in Supply Chain Market Regional Insights :

The size and trends in the Artificial Intelligence in Supply Chain market in each of the following regions are thoroughly examined in this research: North America (which includes the United States, Canada, and Mexico); Europe (which includes France, Spain, Germany, Italy, and other European countries); Asia-Pacific (which includes China, Japan, India, Australia, South Korea, ASEAN countries, and others APAC countries); South America (which includes Argentina, Brazil, and other South American countries); and Middle East and Africa (which includes South Africa, Egypt, and other MEA countries).

For an in-depth analysis, click the provided link:https://www.maximizemarketresearch.com/market-report/global-artificial-intelligence-in-supply-chain-market/63829/ 

Key questions answered in the Artificial Intelligence in Supply Chain Market are:

  • What is Artificial Intelligence in Supply Chain?
  • What was the Artificial Intelligence in Supply Chain market size in 2023?
  • Which are the factors expected to drive the Artificial Intelligence in Supply Chain market growth?
  • Who are the leading companies and what are their portfolios in Artificial Intelligence in Supply Chain Market?
  • What growth strategies are the players considering to increase their presence in Artificial Intelligence in Supply Chain?
  • What are the upcoming industry applications and trends for the Artificial Intelligence in Supply Chain Market?
  • What will be the CAGR at which the Artificial Intelligence in Supply Chain market will grow?
  • What are the recent industry trends that can be implemented to generate additional revenue streams for the Artificial Intelligence in Supply Chain Market?
  • What are the different segments of the Artificial Intelligence in Supply Chain Market?
  • What is the growth rate of the Artificial Intelligence in Supply Chain Market?
  • What segments are covered in the Artificial Intelligence in Supply Chain Market?
  • Who are the key players in the Artificial Intelligence in Supply Chain market?
  • What are the key challenges and opportunities in the Artificial Intelligence in Supply Chain market?
  • Which application holds the highest potential in the Artificial Intelligence in Supply Chain market?

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Key Offerings:

  • Past Market Size and Competitive Landscape (2018-2023)
  • Past Pricing and price curve by region (2018-2023)
  • Market Size, Share, Size & Forecast by different segment | 2024−2030
  • Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
  • Market Segmentation – A detailed analysis by segment with their sub-segments and Region
  • Competitive Landscape – Profiles of selected key players by region from a strategic perspective
    • Competitive landscape – Market Leaders, Market Followers, Regional player
    • Competitive benchmarking of key players by region
  • PESTLE Analysis
  • PORTER’s analysis
  • Value chain and supply chain analysis
  • Legal Aspects of Business by Region
  • Lucrative business opportunities with SWOT analysis
  • Recommendations

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