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サプライチェーン向け人工知能（AI）の世界市場：現状分析と予測（2022年～2028年）

Artificial Intelligence in Supply Chain Market: Current Analysis and Forecast (2022-2028)
出版日: | 発行: UnivDatos Market Insights Pvt Ltd | ページ情報: 英文 154 Pages | 納期: 即日から翌営業日

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サプライチェーン向け人工知能（AI）の世界市場：現状分析と予測（2022年～2028年）
出版日: 2022年09月01日
発行: UnivDatos Market Insights Pvt Ltd
ページ情報: 英文 154 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

世界のサプライチェーン向け人工知能（AI）の市場規模は、予測期間（2022年～2028年）中に約46％のCAGRで成長すると予測されています。サプライチェーンにおける人工知能の採用の拡大、自動車産業の拡大、自動車産業における電気自動車やビッグデータの注目の高まりは、サプライチェーン向け人工知能（AI）市場の成長を促進しています。

当レポートでは、世界のサプライチェーン向け人工知能（AI）市場について調査しており、市場の洞察、市場動向、競合シナリオ、企業概要など、包括的な情報を提供しています。

目次

第1章 市場イントロダクション

  • 市場の定義
  • 主な目的
  • ステークホルダー
  • 制限

第2章 調査方法または仮定

  • サプライチェーン向け人工知能（AI）市場の調査プロセス
  • サプライチェーン向け人工知能（AI）市場の調査手法
  • 回答者プロファイル

第3章 市場要約

第4章 エグゼクティブサマリー

第5章 サプライチェーン向け人工知能（AI）市場へのCOVID-19の影響

第6章 サプライチェーン向け人工知能（AI）市場の収益（10億米ドル）（2020年～2028年）

第7章 市場の洞察：用途別

  • フリート管理
  • サプライチェーン計画
  • 倉庫管理
  • バーチャルアシスタント
  • その他

第8章 市場の洞察：エンドユーザー別

  • 自動車
  • 小売
  • 消費財
  • 食品・飲料
  • その他

第9章 市場の洞察：地域別

  • 北米
    • 米国
    • カナダ
    • その他の北米
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他の欧州
  • アジア太平洋地域
    • 中国
    • 日本
    • インド
    • その他のアジア太平洋地域
  • 世界のその他の地域

第10章 サプライチェーン向け人工知能（AI）市場力学

  • 市場促進要因
  • 市場の課題
  • 影響分析

第11章 サプライチェーン向け人工知能（AI）市場機会

第12章 サプライチェーン向け人工知能（AI）市場動向

第13章 需要側と供給側の分析

  • 需要側分析
  • 供給側分析

第14章 バリューチェーン分析

第15章 競合シナリオ

  • 競合情勢
    • ポーターのファイブフォース分析

第16章 会社概要

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

第17章 免責事項

目次
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