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サプライチェーンにおける人工知能 (AI) の世界市場予測 2025年:フリート管理・サプライチェーンプランニング・ウェアハウスマネジメント・バーチャルアシスタント・リスク管理・貨物運送取り次ぎ

Artificial Intelligence in Supply Chain Market by Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025

発行 MarketsandMarkets 商品コード 658700
出版日 ページ情報 英文 176 Pages
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本日の銀行送金レート: 1USD=112.99円で換算しております。
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サプライチェーンにおける人工知能 (AI) の世界市場予測 2025年:フリート管理・サプライチェーンプランニング・ウェアハウスマネジメント・バーチャルアシスタント・リスク管理・貨物運送取り次ぎ Artificial Intelligence in Supply Chain Market by Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025
出版日: 2018年06月27日 ページ情報: 英文 176 Pages
概要

サプライチェーンにおける人工知能 (AI) の市場規模は、22018年の7億3,060万米ドルから、2025年までに101億1,020万米ドルに達すると予測され、45.55%のCAGR (年間複合成長率)が見込まれています。同市場の成長には、ビッグデータの成長、サプライチェーンデータ・プロセスにおけるより良い可視性・透明性に対する需要、および消費者サービスとその満足度の改善に向けたAIの導入といった要因が大きく貢献しています。一方、AI技術専門家数の不足は導入を制限すると予測されることから、同市場の成長をある程度抑制する見込みです。

当レポートでは、世界のサプライチェーンにおける人工知能 (AI) 市場について詳細に分析し、サービス、技術、用途、産業、および地域別の市場分析と予測を提供しており、競合環境の分析、主要企業のプロファイルなどをまとめ、お届け致します。

FIGURE 11 ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • サプライチェーンAI市場における魅力的な機会
  • サプライチェーンAI市場:プロセッサー別
  • フリート管理用途のサプライチェーンAI市場:技術別
  • APACのサプライチェーンAI市場:用途別
  • サプライチェーンAI市場:国別

第5章 市場概要

  • イントロダクション
  • 市場力学
    • 促進因子
    • 阻害因子
    • 機会
    • 課題
  • ケーススタディ

第6章 サプライチェーンにおける人工知能 (AI) 市場:サービス別

  • イントロダクション
  • ハードウェア
    • プロセッサー
    • メモリー
    • ネットワーク
  • ソフトウェア
    • AIプラットフォーム
    • AIソリューション
  • サービス
    • 展開・統合
    • サポート・メンテナンス

第7章 サプライチェーンにおける人工知能 (AI) 市場:技術別

  • イントロダクション
  • マシンラーニング
    • 教師あり学習
    • 教師なし学習
    • 強化学習
    • その他
  • 自然言語処理 (NLP)
  • コンテキストアウェアコンピューティング
  • コンピュータービジョン

第8章 サプライチェーンにおける人工知能 (AI) 市場:用途別

  • イントロダクション
  • フリート管理
  • サプライチェーンプランニング
  • ウェアハウスマネジメント
  • バーチャルアシスタント
  • リスク管理
  • 貨物運送取り次ぎ
  • その他

第9章 サプライチェーンにおける人工知能 (AI) 市場:産業別

  • イントロダクション
  • 自動車
  • 航空宇宙
  • 製造
  • 小売り
  • 医療
  • 消費財
  • 飲食品
  • その他

第10章 地域分析

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋
  • その他 (ROW)

第11章 競合環境

  • イントロダクション
  • 市場ランキング分析
  • 競合状況・動向

第12章 企業プロファイル

  • 主要企業
    • NVIDIA
    • IBM
    • INTEL
    • XILINX
    • SAMSUNG ELECTRONICS
    • MICRON TECHNOLOGY
    • MICROSOFT
    • AMAZON
    • SAP
    • ORACLE
    • LOGILITY
    • LLAMASOFT, INC.
    • CLEARMETAL
    • SPLICE MACHINE
    • CAINIAO NETWORK (ALIBABA)
    • FEDEX
    • DEUTSCHE POST AG DHL
  • その他の企業
    • FRAIGHT AI
    • C. H.ROBINSON
    • E2OPEN
    • RELEX SOLUTION
    • TEKNOWLOGI
    • PRESENSO.

第13章 付録

図表

LIST OF TABLES

  • TABLE 1: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 2: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR HARDWARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 3: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY HARDWARE, 2015-2025 (USD MILLION)
  • TABLE 4: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY PROCESSOR, 2015-2025 (USD MILLION)
  • TABLE 5: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY PROCESSOR, 2015-2025 (THOUSAND UNITS)
  • TABLE 6: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SOFTWARE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 7: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY SOFTWARE, 2015-2025 (USD MILLION)
  • TABLE 8: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR AI PLATFORMS, BY SOFTWARE, 2015-2025 (USD MILLION)
  • TABLE 9: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SERVICES, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 10: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY SERVICE, 2015-2025 (USD MILLION)
  • TABLE 11: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 12: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR MACHINE LEARNING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 13: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR MACHINE LEARNING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 14: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR MACHINE LEARNING, BY TYPE, 2015-2025 (USD MILLION)
  • TABLE 15: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 16: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 17: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR NATURAL LANGUAGE PROCESSING, BY PROCESS, 2015-2025 (USD MILLION)
  • TABLE 18: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR CONTEXT-AWARE COMPUTING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 19: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 20: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR COMPUTER VISION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 21: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR COMPUTER VISION, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 22: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 23: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FLEET MANAGEMENT, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 24: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FLEET MANAGEMENT, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 25: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SUPPLY CHAIN PLANNING, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 26: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SUPPLY CHAIN PLANNING, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 27: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR WAREHOUSE MANAGEMENT, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 28: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR WAREHOUSE MANAGEMENT, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 29: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR VIRTUAL ASSISTANT, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 30: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR VIRTUAL ASSISTANT, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 31: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR RISK MANAGEMENT, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 32: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR RISK MANAGEMENT, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 33: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FREIGHT BROKERAGE, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 34: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FREIGHT BROKERAGE, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 35: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR OTHER APPLICATION, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 36: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR OTHERS APPLICATION, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 37: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY END-USER INDUSTRY, 2015-2025 (USD MILLION)
  • TABLE 38: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR AUTOMOTIVE INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 39: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR AEROSPACE INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 40: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR MANUFACTURING INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 41: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR RETAIL INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 42: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR HEALTHCARE INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 43: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR CONSUMER-PACKAGED GOODS INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 44: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 45: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR OTHER INDUSTRY, BY REGION 2015-2025 (USD MILLION)
  • TABLE 46: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY REGION, 2015-2025 (USD MILLION)
  • TABLE 47: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN NORTH AMERICA, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 48: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN NORTH AMERICA, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 49: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN NORTH AMERICA, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 50: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN NORTH AMERICA, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 51: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN EUROPE, BY OFFERING, 2015-2025 (USD MILLION)
  • TABLE 52: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN EUROPE, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 53: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN EUROPE, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 54: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN EUROPE, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 55: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC, BY OFFERINGS, 2015-2025 (USD MILLION)
  • TABLE 56: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 57: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 58: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC, BY COUNTRY, 2015-2025 (USD MILLION)
  • TABLE 59: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN ROW, BY OFFERINGS, 2015-2025 (USD MILLION)
  • TABLE 60: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN ROW, BY TECHNOLOGY, 2015-2025 (USD MILLION)
  • TABLE 61: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN ROW, BY APPLICATION, 2015-2025 (USD MILLION)
  • TABLE 62: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN ROW, BY REGION, 2015-2025(USD MILLION)
  • TABLE 63: RANKING OF KEY COMPANIES IN THE ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET ON THE BASIS OF HARDWARE (2017)
  • TABLE 64: RANKING OF KEY COMPANIES IN ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET ON THE BASIS OF SOLUTION PROVIDERS (2017)

LIST OF FIGURES

  • FIGURE 1: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCH DESIGN
  • FIGURE 2: PROCESS FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 3: MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
  • FIGURE 4: MARKET SIZE ESTIMATION: TOP-DOWN APPROACH
  • FIGURE 5: MARKET BREAKDOWN AND DATA TRIANGULATION
  • FIGURE 6: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SOFTWARE TO GROW AT THE HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 7: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FLEET MANAGEMENT TO GROW AT THE HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 8: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR COMPUTER VISION TO GROW AT THE HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 9: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR CONSUMER-PACKAGED GOODS TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 10: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN NORTH AMERICA TO HOLD THE LARGEST SHARE IN 2018
  • FIGURE 11: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC TO GROW AT THE HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 12: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR GPU TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 13: MARKET FOR COMPUTER VISION IN FLEET MANAGEMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 14: SUPPLY CHAIN PLANNING TO HOLD THE LARGEST SHARE OF THE ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC IN 2018
  • FIGURE 15: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN CHINA TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 16: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 17: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SOFTWARE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 19: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR AI PLATFORM TO GROW AT A HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 20: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR COMPUTER VISION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 21: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR SPEECH ANALYTICS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 22: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FLEET MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 23: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR COMPUTER VISION IN WAREHOUSE MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 24: ARTIFICIAL INTELLIGENCE MARKET FOR CONSUMER-PACKAGED GOODS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 25: ARTIFICIAL INTELLIGENCE MARKET FOR CONSUMER-PACKAGED GOODS IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 26: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2018 TO 2025
  • FIGURE 27: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN CHINA TO GROW AT HIGHEST CAGR BETWEEN 2018 AND 2025
  • FIGURE 28: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SNAPSHOT: NORTH AMERICA
  • FIGURE 29: ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SNAPSHOT: EUROPE
  • FIGURE 30: AI IN SUPPLY CHAIN MARKET SNAPSHOT: APAC
  • FIGURE 31: COMPANIES ADOPTED PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGIES BETWEEN 2015 AND 2017
  • FIGURE 32: NVIDIA: COMPANY SNAPSHOT
  • FIGURE 33: IBM: COMPANY SNAPSHOT
  • FIGURE 34: INTEL: COMPANY SNAPSHOT
  • FIGURE 35: XILINX: COMPANY SNAPSHOT
  • FIGURE 36: SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
  • FIGURE 37: MICRON TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 38: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 39: AMAZON: COMPANY SNAPSHOT
  • FIGURE 40: SAP: COMPANY SNAPSHOT
  • FIGURE 41: ORACLE: COMPANY SNAPSHOT
  • FIGURE 42: LOGILITY : COMPANY SNAPSHOT
  • FIGURE 43: FEDEX: COMPANY SNAPSHOT
  • FIGURE 44: DHL: COMPANY SNAPSHOT
目次
Product Code: SE 6402

"The artificial intelligence in supply chain market is likely to grow at a CAGR of 45.55% between 2018 and 2025."

The artificial intelligence in supply chain market is expected to reach USD 10,110.2 million by 2025 from USD 730.6 million in 2018, at a CAGR of 45.55%. Growth in this market can largely be attributed to factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and their satisfaction. On the other hand, the limited number of artificial intelligence technology experts is expected to restrict adoption, which in turn may limit market growth to a certain extent.

"The market for software offerings is expected to hold a largest share during the forecast period."

The artificial intelligence in supply chain market for software offerings is expected to hold a larger share. The continuous developments have been witnessed in AI software and related software development kits. Also, AI software is capable of behaving intelligently. Creating intelligent software involves simulating a number of capabilities, which include reasoning, learning, problem-solving, perception, and knowledge representation.

"The market for computer vision technology is expected to register the highest growth during the forecast period."

The market for computer vision technology is expected to grow at the highest CAGR during the forecast period. The growing adoption of computer vision for autonomous or semiautonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the AI market.

"North America is expected to dominate the artificial intelligence in supply chain market during the forecast period."

North America is notable for its high adoption of artificial intelligence. The increasing demand for intelligent virtual assistants acts as a driving force for the growth of the artificial intelligence in supply chain market in the region. The market in North America is also characterized by high infrastructure costs and strict policies and regulatory frameworks. Companies such as IBM (US), Google (US), Microsoft (US), NVIDIA (US), Intel (US), and Amazon (US) are complementing the growth of the market in this region.

Breakdown of primary participants' profile:

  • By Company Type: Tier 1-25%, Tier 2-30%, and Tier 3-45%
  • By Designation: C-Level Executives-45%, Directors-35%, and Others-20%
  • By Region: North America-40%, Europe-30%, Asia Pacific-25%, and RoW-5%

Key players operating in this market are: Intel (US), NVIDIA (US), Xilinx (US), Samsung Electronics (South Korea), Facebook (US), Micron Technology (US), IBM (US), Google (US), Microsoft (US), and Amazon (US).

Research Coverage:

Various market segments have been covered in this report. These include offering, technology, application, end-user industry, and geography. It also gives a detailed view of the market across 4 main regions: North America, Europe, APAC, and RoW.

Reasons to Buy the Report:

  • This report includes statistics pertaining to the artificial intelligence in supply chain market in terms of offering, technology,application, end-user industry, and region, along with their respective market sizes.
  • Major drivers, restraints, opportunities, and challenges for the artificial intelligence in supply chain market have been provided in detail in this report.
  • The report includes illustrative segmentation, analysis, and forecast for the artificial intelligence in supply chain market based on its segments and subsegments.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. DEFINITION
  • 1.3. STUDY SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR THIS STUDY
  • 1.4. CURRENCY
  • 1.5. LIMITATIONS
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key data from primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 2.2. MARKET SIZE ESTIMATION
    • 2.2.1. BOTTOM-UP APPROACH
    • 2.2.2. TOP-DOWN APPROACH
  • 2.3. MARKET BREAKDOWN & DATA TRIANGULATION
  • 2.4. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET
  • 4.2. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY PROCESSOR
  • 4.3. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET FOR FLEET MANAGEMENT APPLICATION, BY TECHNOLOGY
  • 4.4. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET IN APAC, BY APPLICATION
  • 4.5. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY COUNTRY

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Growth of big data
      • 5.2.1.2. Demand for greater visibility and transparency in supply chain data and processes
      • 5.2.1.3. Adoption of AI to improve consumer services and satisfaction
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Limited number of AI experts
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Growing impact of cloud-based supply chain solutions
      • 5.2.3.2. Increasing demand for intelligent business process and automation
      • 5.2.3.3. Improving operational efficiency in manufacturing industry
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Difficulties in data integration from multiple sources
      • 5.2.4.2. Concerns regarding data privacy
  • 5.3. CASE STUDIES
    • 5.3.1. A LEADING LUXURY VEHICLES MANUFACTURER EMPLOYED IBM WATSON TO IMPROVE CRITICAL PARTS MANAGEMENT.
    • 5.3.2. SPLICE MACHINE PARTNERS WITH INTRIGO TO PROVIDE ORDER PROMISING AND SCHEDULING SOLUTION FOR INFINERA
    • 5.3.3. UPS CHATBOT NOW AVAILABLE VIA THE GOOGLE ASSISTANT
    • 5.3.4. PANALPINA ENGAGED WITH CLEARMETAL FOR PREDICTIVE LOGISTICS
    • 5.3.5. CUMMINS USING LLAMASOFT DEMAND GURU FOR DEMAND MODELLING

6. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY OFFERING

  • 6.1. INTRODUCTION
  • 6.2. HARDWARE
    • 6.2.1. PROCESSORS
      • 6.2.1.1. MPU
      • 6.2.1.2. GPU
      • 6.2.1.3. FPGA
      • 6.2.1.4. ASIC
    • 6.2.2. MEMORY
    • 6.2.3. NETWORK
  • 6.3. SOFTWARE
    • 6.3.1. AI PLATFORMS
      • 6.3.1.1. Application program interface (API)
      • 6.3.1.2. Machine learning framework
    • 6.3.2. AI SOLUTIONS
  • 6.4. SERVICES
    • 6.4.1. DEPLOYMENT & INTEGRATION
    • 6.4.2. SUPPORT & MAINTENANCE

7. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY TECHNOLOGY

  • 7.1. INTRODUCTION
  • 7.2. MACHINE LEARNING
    • 7.2.1. SUPERVISED LEARNING
    • 7.2.2. UNSUPERVISED LEARNING
    • 7.2.3. REINFORCEMENT LEARNING
    • 7.2.4. OTHERS
  • 7.3. NATURAL LANGUAGE PROCESSING (NLP)
  • 7.4. CONTEXT-AWARE COMPUTING
  • 7.5. COMPUTER VISION

8. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY APPLICATION

  • 8.1. INTRODUCTION
  • 8.2. FLEET MANAGEMENT
  • 8.3. SUPPLY CHAIN PLANNING
  • 8.4. WAREHOUSE MANAGEMENT
  • 8.5. VIRTUAL ASSISTANT
  • 8.6. RISK MANAGEMENT
  • 8.7. FREIGHT BROKERAGE
  • 8.8. OTHERS

9. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, BY END-USER INDUSTRY

  • 9.1. INTRODUCTION
  • 9.2. AUTOMOTIVE
  • 9.3. AEROSPACE
  • 9.4. MANUFACTURING
  • 9.5. RETAIL
  • 9.6. HEALTHCARE
  • 9.7. CONSUMER-PACKAGED GOODS
  • 9.8. FOOD & BEVERAGES
  • 9.9. OTHERS

10. GEOGRAPHIC ANALYSIS

  • 10.1. INTRODUCTION
  • 10.2. NORTH AMERICA
    • 10.2.1. US
    • 10.2.2. CANADA
    • 10.2.3. MEXICO
  • 10.3. EUROPE
    • 10.3.1. GERMANY
    • 10.3.2. UK
    • 10.3.3. FRANCE
    • 10.3.4. ITALY
    • 10.3.5. SPAIN
    • 10.3.6. REST OF EUROPE
  • 10.4. APAC
    • 10.4.1. CHINA
    • 10.4.2. JAPAN
    • 10.4.3. SOUTH KOREA
    • 10.4.4. INDIA
    • 10.4.5. REST OF APAC
  • 10.5. REST OF THE WORLD
    • 10.5.1. MIDDLE EAST AND AFRICA
    • 10.5.2. SOUTH AMERICA

11. COMPETITIVE LANDSCAPE

  • 11.1. INTRODUCTION
  • 11.2. MARKET RANKING ANALYSIS
  • 11.3. COMPETITIVE SITUATIONS AND TRENDS
    • 11.3.1. PRODUCT LAUNCHES (2016-2018)
    • 11.3.2. AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, & CONTRACTS (2017-2018)
    • 11.3.3. MERGERS & ACQUISITIONS (2016-2018)
    • 11.3.4. EXPANSION (2016-2018)

12. COMPANY PROFILES (Business Overview, Products/ Services Offered, Recent Developments, SWOT Analysis, and MnM View)*

  • 12.1. KEY PLAYERS
    • 12.1.1. NVIDIA
    • 12.1.2. IBM
    • 12.1.3. INTEL
    • 12.1.4. XILINX
    • 12.1.5. SAMSUNG ELECTRONICS
    • 12.1.6. MICRON TECHNOLOGY
    • 12.1.7. MICROSOFT
    • 12.1.8. AMAZON
    • 12.1.9. SAP
    • 12.1.10. ORACLE
    • 12.1.11. LOGILITY
    • 12.1.12. LLAMASOFT, INC.
    • 12.1.13. CLEARMETAL
    • 12.1.14. SPLICE MACHINE
    • 12.1.15. CAINIAO NETWORK (ALIBABA)
    • 12.1.16. FEDEX
    • 12.1.17. DEUTSCHE POST AG DHL
  • 12.2. OTHER COMPANIES
    • 12.2.1. FRAIGHT AI
    • 12.2.2. C. H.ROBINSON
    • 12.2.3. E2OPEN
    • 12.2.4. RELEX SOLUTION
    • 12.2.5. TEKNOWLOGI
    • 12.2.6. PRESENSO.

*Details on Business Overview, Products/ Services Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. AVAILABLE CUSTOMIZATION
  • 13.5. RELATED REPORTS
  • 13.6. AUTHOR DETAILS
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