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市场调查报告书
商品编码
1134531

供应链人工智慧的全球市场:现状分析与预测(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个工作天内

价格
简介目录

全球供应链人工智慧的市场规模在预测期间(2022年～2028年)中预计将以约46％的年复合成长率成长。供应链人工智能的引进扩大，汽车产业的扩大，汽车产业上电动车和巨量资料的关注提升，促进了供应链人工智慧市场成长。

本报告提供全球供应链人工智慧市场的相关调查，提供市场洞察，市场趋势，竞争模式，企业概要等全面性资讯。

目录

第1章 市场简介

  • 市场定义
  • 主要目的
  • 相关利益者
  • 限制

第2章 调查方法或假设

  • 供应链人工智慧市场调查流程
  • 供应链人工智慧市场调查手法
  • 受访者简介

第3章 市场摘要

第4章 摘要整理

第5章 供应链人工智慧市场的COVID-19影响

第6章 供应链人工智慧市场收益(10亿美元)(2020年～2028年)

第7章 市场洞察:各用途

  • 车队管理
  • 供应链计划
  • 仓库管理
  • 虚拟助手
  • 其他

第8章 市场洞察:各终端用户

  • 汽车
  • 零售
  • 消费品
  • 食品·饮料
  • 其他

第9章 市场洞察:各地区

  • 北美
    • 美国
    • 加拿大
    • 其他的北美
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他的欧洲
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他的亚太地区
  • 全球其他地区

第10章 供应链人工智慧市场动态

  • 推动市场要素
  • 市场课题
  • 影响分析

第11章 供应链人工智慧市场机会

第12章 供应链人工智慧市场趋势

第13章 需求面和供给面的分析

  • 需求面分析
  • 供给面分析

第14章 价值链分析

第15章 竞争模式

  • 竞争情形
    • 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 免责声明

简介目录
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