Artificial Intelligence in Supply Chain Market Expected to Grow at 45.5% CAGR Through 2030

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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, a Artificial Intelligence in Supply Chain business research firm has published a report on the “Artificial Intelligence in Supply Chain Market”. Which provides Industry Analysis (Market Performance, Segments, Price Analysis, and Outlook).

Estimated Growth Rate for Artificial Intelligence in Supply Chain Market:

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.

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Artificial Intelligence in Supply Chain Market Report Scope and Research Methodology:

The scope of the Artificial Intelligence in Supply Chain market analysis encompasses diverse factors, including geographical regions, industry segments, traveller types, and travel service offerings. Research methodologies integrate primary and secondary data collection, employing surveys, interviews, and analysis of industry reports and databases. Assessing the Artificial Intelligence in Supply Chain market scope involves examining the volume and value of business travel transactions, covering expenditures on transportation, accommodation, dining, and ancillary services. Methodologies aim to identify key trends, challenges, and opportunities influencing the market landscape. This comprehensive approach provides valuable insights for strategic decision-making, aiding businesses in navigating the complexities of the Artificial Intelligence in Supply Chain sector and capitalizing on growth prospects.

Artificial Intelligence in Supply Chain Market Regional Insights:

Improved dependability and increasing demand drive growth in the Artificial Intelligence in Supply Chain Market, particularly in North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. Geographical observations help investors identify opportunities, with regional evaluations highlighting crucial strategies like mergers and acquisitions. Understanding regional dynamics enables stakeholders to tailor their approaches, leveraging growth prospects and addressing specific Artificial Intelligence in Supply Chain market needs. This insight is vital for informed decision-making and strategic planning across diverse geographic landscapes.

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Artificial Intelligence in Supply Chain Market Segmentation:

by Offering

Hardware
Software
Services

by Technology

Machine Learning
Computer Vision
Natural Language Processing
Context-Aware Computing

The Artificial Intelligence in Supply Chain market is divided into four segments based on technology: machine learning, computer vision, natural language processing, and context-aware computing. The Machine Learning sector had the greatest market share of xx% in 2023. This expansion could be attributable to expanding demand for AI-based intelligent solutions, increased government activity, and AI solutions' capacity to efficiently handle and analyze enormous amounts of data, as well as scan, process, and respond to anomalies quickly. Computer Vision had the second-largest market share of xx% in 2023. Computer vision technologies are increasingly being used in supply chain activities across a wide range of industries.

by Application

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

The Artificial Intelligence in Supply Chain market is split by application, including Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning Logistics. The Supply Chain Planning sector had the biggest market share of xx% in 2023. The increased demand for improved factory scheduling and production planning, as well as the increasing agility and streamlining of supply chain decision-making, can all contribute to the industry's success. Additionally, automating existing procedures and workflows to reimagine the supply chain planning paradigm is contributing to the segment's growth.

by End-User

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

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Table of Content: Artificial Intelligence in Supply Chain Market

Part 01: Executive Summary

Part 02: Scope of the Artificial Intelligence in Supply Chain Market Report

Part 03: Global Artificial Intelligence in Supply Chain Market Landscape

Part 04: Global Artificial Intelligence in Supply Chain Market Sizing

Part 05: Global Artificial Intelligence in Supply Chain Market Segmentation by Type

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers and Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

Want a comprehensive market analysis? Check out the summary of the research report: @https://www.maximizemarketresearch.com/market-report/global-artific... 

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

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

  • Who are the leading companies and what are their portfolios in 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 is Artificial Intelligence in Supply Chain?
  • What was the Artificial Intelligence in Supply Chain market size in 2023?
  • What is the growth rate of the Artificial Intelligence in Supply Chain Market?
  • Which are the factors expected to drive the Artificial Intelligence in Supply Chain market growth?
  • What are the different segments of the 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 are the recent industry trends that can be implemented to generate additional revenue streams for the Artificial Intelligence in Supply Chain Market?
  • What segments are covered in the Artificial Intelligence in Supply Chain Market?

 

Key Offerings:

  • Past Market Size and Competitive Landscape (2018 to 2023)
  • Past Pricing and price curve by region (2018 to 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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About Maximize Market Research:

Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include medical devices, pharmaceutical manufacturers, science and engineering, electronic components, industrial equipment, technology and communication, cars and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.

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