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市場調查報告書
商品編碼
1134531

供應鏈人工智慧的全球市場:現狀分析與預測(2022年～2028年)

Artificial Intelligence in Supply Chain Market: Current Analysis and Forecast (2022-2028)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 154 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球供應鏈人工智慧的市場規模在預測期間(2022年～2028年)中預計將以約46％的年複合成長率成長。供應鏈人工智能的引進擴大，汽車產業的擴大，汽車產業上電動車和巨量資料的關注提升，促進了供應鏈人工智慧市場成長。

本報告提供全球供應鏈人工智慧市場的相關調查，提供市場洞察，市場趨勢，競爭模式，企業概要等全面性資訊。

目錄

第1章 市場簡介

  • 市場定義
  • 主要目的
  • 相關利益者
  • 限制

第2章 調查方法或假設

  • 供應鏈人工智慧市場調查流程
  • 供應鏈人工智慧市場調查手法
  • 受訪者簡介

第3章 市場摘要

第4章 摘要整理

第5章 供應鏈人工智慧市場的COVID-19影響

第6章 供應鏈人工智慧市場收益(10億美元)(2020年～2028年)

第7章 市場洞察:各用途

  • 車隊管理
  • 供應鏈計劃
  • 倉庫管理
  • 虛擬助手
  • 其他

第8章 市場洞察:各終端用戶

  • 汽車
  • 零售
  • 消費品
  • 食品·飲料
  • 其他

第9章 市場洞察:各地區

  • 北美
    • 美國
    • 加拿大
    • 其他的北美
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他的歐洲
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他的亞太地區
  • 全球其他地區

第10章 供應鏈人工智慧市場動態

  • 推動市場要素
  • 市場課題
  • 影響分析

第11章 供應鏈人工智慧市場機會

第12章 供應鏈人工智慧市場趨勢

第13章 需求面和供給面的分析

  • 需求面分析
  • 供給面分析

第14章 價值鏈分析

第15章 競爭模式

  • 競爭情形
    • 波特的五力分析

第16章 公司概要

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon.com Inc.
  • Intel Corporation
  • Nvidia Corporation
  • Oracle Corporation
  • Samsung
  • LLamasoft Inc.
  • SAP SE

第17章 免責聲明

簡介目錄
Product Code: UMTI211194

Global Artificial Intelligence in Supply Chain Market is expected to grow at a significant rate of around 46% during the forecast period. AI in supply chains is helping to deliver the powerful optimization capabilities required for more accurate capacity planning, improved productivity, high quality, lower costs, and greater output, all while fostering safer working conditions. The growing adoption of artificial intelligence in the supply chain can be attributed to the growing adoption of AI. For instance, as per the press research, AI investments reached USD 881 mn in the year 2020, globally. Furthermore, AI has been applied in a variety of end-use applications that allow businesses to function without the need for human supervision. AI-enabled machinery and equipment can work successfully by acquiring human abilities.

IBM Corporation, Microsoft Corporation, Google LLC, Amazon.com Inc., Intel Corporation, Nvidia Corporation, Oracle Corporation, Samsung, LLamasoft Inc., and SAP SE, are some of the key players in the market. Several M&As along with partnerships have been undertaken by these players to facilitate customers with hi-tech and innovative products/technologies.

Insights Presented in the Report:

"Amongst application, the supply chain planning category to witness higher CAGR during the forecast period"

Based on application, the market is segmented into fleet management, supply chain planning, warehouse management, virtual assistant, and others. The supply chain planning segment is expected to achieve a significant CAGR during the forecast. The growing adoption of data-based decision-making and the increasing number of operations in a company requires proper management, scheduling, and planning to manage the operations. AI helps in the decision-making and optimization of the resources within the industry.

"Amongst end-users, the automotive segment is expected to hold a significant share in the market in 2020"

Based on end-users, the market is segmented into automotive, retail, consumer-packaged goods, food and beverages, and others. The automotive segment is expected to grow significantly during the forecast period. The growing size of the automotive industry and the introduction of electric vehicles is expected to drive the market. Furthermore, the growing prominence of electric vehicles and big data in the automobile industry is expected to Proliferate the artificial intelligence in the supply chain market

"North America to hold a significant share in the market"

The North American region is expected to dominate the artificial intelligence supply chain market. The growing adoption of artificial intelligence in the supply chain can be attributed to growing government initiatives toward the promotion and deployment of AI solutions. Furthermore, the growth of the e-commerce sector in countries including the U.S.A and Canada, growing investments in AI technology for productivity enhancement, the need for enhancing supply chain management, and a surge in the volume of real-time inventory data are contributing to the growth of the AI technologies market in supply chain industry in this region.  

Reasons to buy this report:

The study includes market sizing and forecasting Analytics validated by authenticated key industry experts.

The report presents a quick review of overall industry performance at one glance.

The report covers in-depth Analytics of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments.

Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

The study comprehensively covers the market across different segments.

Deep dive regional level Analytics of the industry.

Customization Options:

The global Artificial Intelligence In Supply Chain Market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.

TABLE OF CONTENTS

1 MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Artificial Intelligence in Supply Chain Market
  • 2.2. Research Methodology of the Artificial Intelligence in Supply Chain Market
  • 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN THE SUPPLY CHAIN MARKET

6 ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET REVENUE (USD BN), 2020-2028F

7 MARKET INSIGHTS BY APPLICATION

  • 7.1. Fleet Management
  • 7.2. Supply Chain Planning
  • 7.3. Warehouse Management
  • 7.4. Virtual Assistant
  • 7.5. Others

8 MARKET INSIGHTS BY END-USER

  • 8.1. Automotive
  • 8.2. Retail
  • 8.3. Consumer-Packaged Goods
  • 8.4. Food and Beverages
  • 8.5. Others

9 MARKET INSIGHTS BY REGION

  • 9.1. North America
    • 9.1.1. U.S.
    • 9.1.2. Canada
    • 9.1.3. Rest of North America
  • 9.2. Europe
    • 9.2.1. Germany
    • 9.2.2. U.K.
    • 9.2.3. France
    • 9.2.4. Italy
    • 9.2.5. Spain
    • 9.2.6. Rest of Europe
  • 9.3. Asia-Pacific
    • 9.3.1. China
    • 9.3.2. Japan
    • 9.3.3. India
    • 9.3.4. Rest of Asia-Pacific
  • 9.4. Rest of World

10 ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET DYNAMICS

  • 10.1. Market Drivers
  • 10.2. Market Challenges
  • 10.3. Impact Analysis

11 ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET OPPORTUNITIES

12 ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET TRENDS

13 DEMAND AND SUPPLY-SIDE ANALYSIS

  • 13.1. Demand Side Analysis
  • 13.2. Supply Side Analysis

14 VALUE CHAIN ANALYSIS

15 COMPETITIVE SCENARIO

  • 15.1. Competitive Landscape
    • 15.1.1. Porters Fiver Forces Analysis

16 COMPANY PROFILED

  • 16.1. IBM Corporation
  • 16.2. Microsoft Corporation
  • 16.3. Google LLC
  • 16.4. Amazon.com Inc.
  • 16.5. Intel Corporation
  • 16.6. Nvidia Corporation
  • 16.7. Oracle Corporation
  • 16.8. Samsung
  • 16.9. LLamasoft Inc.
  • 16.10. SAP SE

17 DISCLAIMER