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Machine Learning in Supply Chain Management Market Size - By Component (Software, Services) By Technology (Supervised, Unsupervised), By Organization Size (Large Enterprise, SMEs), By Deployment Mode, By Application, By End-user & Forecast, 2024 – 2032

  • Report ID: GMI10171
  • Published Date: Jul 2024
  • Report Format: PDF

Report Content

Chapter 1   Methodology & Scope

1.1    Market scope & definition

1.2    Research design

1.2.1    Research approach

1.2.2    Data collection methods

1.3    Base estimates & calculations

1.3.1    Base year calculation

1.3.2    Key trends for market estimation

1.4    Forecast model

1.5    Primary research and validation

1.5.1    Primary sources

1.5.2    Data mining sources

Chapter 2   Executive Summary

2.1    Industry 3600 synopsis, 2021 - 2032

Chapter 3   Industry Insights

3.1    Industry ecosystem analysis

3.2    Supplier landscape

3.2.1    Platform providers

3.2.2    Software provider

3.2.3    Service providers

3.2.4    Distribution channel

3.2.5    End-user

3.3    Profit margin analysis

3.4    Technology & innovation landscape

3.5    Patent analysis

3.6    Key news & initiatives

3.7    Regulatory landscape

3.8    Impact forces

3.8.1    Growth drivers

3.8.1.1    Optimization of transportation routes

3.8.1.2    Enhanced customer satisfaction

3.8.1.3    Improved demand forecasting and inventory management

3.8.1.4    Growing need for operational efficiency

3.8.2    Industry pitfalls & challenges

3.8.2.1    Data security and privacy concerns

3.8.2.2    Integration complexity with existing systems

3.9    Growth potential analysis

3.10    Porter’s analysis

3.11    PESTEL analysis

Chapter 4   Competitive Landscape, 2023

4.1    Introduction

4.2    Company market share analysis

4.3    Competitive positioning matrix

4.4    Strategic outlook matrix

Chapter 5   Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

5.1    Key trends

5.2    Software

5.3    Services

5.3.1    Managed

5.3.2    Professional

Chapter 6   Market Estimates & Forecast, By Technique, 2021 - 2032 ($Bn)

6.1    Key trends

6.2    Supervised learning

6.3    Unsupervised learning

Chapter 7   Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Bn)

7.1    Key trends

7.2    Large enterprises

7.3    Small and medium-sized enterprises (SMEs)

Chapter 8   Market Estimates & Forecast, By Deployment Model, 2021 - 2032 ($Bn)

8.1    Key trends

8.2    On-premises

8.3    Cloud-based

Chapter 9   Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

9.1    Key trends

9.2    Demand forecasting

9.3    Supplier relationship management (SRM)

9.4    Risk management

9.5    Product lifecycle management

9.6    Sales and operations planning (S&OP)

9.7    Others

Chapter 10   Market Estimates & Forecast, By End User, 2021 - 2032 ($Bn)

10.1    Key trends

10.2    Retail and e-commerce

10.3    Manufacturing

10.4    Healthcare

10.5    Automotive

10.6    Food & beverage

10.7    Consumer goods

10.8    Others

Chapter 11   Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

11.1    Key trends

11.2    North America

11.2.1   U.S.

11.2.2   Canada

11.3    Europe

11.3.1   UK

11.3.2   Germany

11.3.3   France

11.3.4   Italy

11.3.5   Spain

11.3.6   Russia

11.3.7   Nordics

11.3.8   Rest of Europe

11.4    Asia Pacific

11.4.1   China

11.4.2   India

11.4.3   Japan

11.4.4   Australia

11.4.5   South Korea

11.4.6   Southeast Asia

11.4.7   Rest of Asia Pacific

11.5    Latin America

11.5.1   Brazil

11.5.2   Mexico

11.5.3   Argentina

11.5.4   Rest of Latin America

11.6    MEA

11.6.1   UAE

11.6.2   Saudi Arabia

11.6.3   South Africa

11.6.4   Rest of MEA

Chapter 12   Company Profiles

12.1    Amazon Web Services, Inc. (AWS)

12.2    Blue Yonder Group, Inc.

12.3    C.H. Robinson Worldwide, Inc.

12.4    Convoy, Inc.

12.5    Coupa Software Inc.

12.6    DHL Supply Chain

12.7    FedEx Corporation

12.8    Flexport, Inc.

12.9    Google LLC

12.10    Infor, Inc.

12.11    International Business Machines Corporation (IBM)

12.12    Locus Robotics Corporation

12.13    Manhattan Associates, Inc.

12.14    Microsoft Corporation

12.15    Oracle Corporation

12.16    SAP SE

12.17    Trimble Inc.

12.18    Uber Technologies, Inc.

12.19    United Parcel Service, Inc.

12.20    Waymo LLC
 

Authors: Preeti Wadhwani

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Premium Report Details

  • Base Year: 2023
  • Companies covered: 20
  • Tables & Figures: 290
  • Countries covered: 26
  • Pages: 265
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