Machine Learning in Logistics Market Size, Growth Trends 2035

Machine Learning in Logistics Market Size - By Component, By Technique, By Organization Size, By Deployment Model, By Application, By End Use, Growth Forecast, 2026 - 2035

Report Content

Chapter 1&nbsp;&nbsp;&nbsp;Methodology

1.1&nbsp;&nbsp;&nbsp; Market scope and definition

1.2&nbsp;&nbsp;&nbsp; Research design

1.2.1&nbsp;&nbsp;&nbsp; Research approach

1.2.2&nbsp;&nbsp;&nbsp; Data collection methods

1.3&nbsp;&nbsp;&nbsp; Data mining sources

1.3.1&nbsp;&nbsp;&nbsp; Global

1.3.2&nbsp;&nbsp;&nbsp; Regional/Country

1.4&nbsp;&nbsp;&nbsp; Base estimates and calculations

1.4.1&nbsp;&nbsp;&nbsp; Base year calculation

1.4.2&nbsp;&nbsp;&nbsp; Key trends for market estimation

1.5&nbsp;&nbsp;&nbsp; Primary research and validation

1.5.1&nbsp;&nbsp;&nbsp; Primary sources

1.6&nbsp;&nbsp;&nbsp; Forecast model

1.7&nbsp;&nbsp;&nbsp; Research assumptions and limitations

Chapter 2&nbsp;&nbsp;&nbsp;Executive Summary

2.1&nbsp;&nbsp;&nbsp; Industry 360&deg; synopsis, 2022 - 2035

2.2&nbsp;&nbsp;&nbsp; Key market trends

2.2.1&nbsp;&nbsp;&nbsp; Regional

2.2.2&nbsp;&nbsp;&nbsp; Component

2.2.3&nbsp;&nbsp;&nbsp; Technique

2.2.4&nbsp;&nbsp;&nbsp; Organization Size

2.2.5&nbsp;&nbsp;&nbsp; Deployment Model

2.2.6&nbsp;&nbsp;&nbsp; Application

2.2.7&nbsp;&nbsp;&nbsp; End Use

2.3&nbsp;&nbsp;&nbsp; TAM Analysis, 2026-2035

2.4&nbsp;&nbsp;&nbsp; CXO perspectives: Strategic imperatives

2.4.1&nbsp;&nbsp;&nbsp; Executive decision points

2.4.2&nbsp;&nbsp;&nbsp; Critical success factors

2.5&nbsp;&nbsp;&nbsp; Future outlook and strategic recommendations

Chapter 3&nbsp;&nbsp;&nbsp;Industry Insights

3.1&nbsp;&nbsp;&nbsp; Industry ecosystem analysis

3.1.1&nbsp;&nbsp;&nbsp; Supplier landscape

3.1.2&nbsp;&nbsp;&nbsp; Profit margin analysis

3.1.3&nbsp;&nbsp;&nbsp; Cost structure

3.1.4&nbsp;&nbsp;&nbsp; Value addition at each stage

3.1.5&nbsp;&nbsp;&nbsp; Factor affecting the value chain

3.1.6&nbsp;&nbsp;&nbsp; Disruptions

3.2&nbsp;&nbsp;&nbsp; Industry impact forces

3.2.1.1&nbsp;&nbsp;&nbsp; Growth drivers

3.2.1.2&nbsp;&nbsp;&nbsp; Increased optimization of supply chain operations

3.2.1.3&nbsp;&nbsp;&nbsp; Automation of warehousing operations

3.2.1.4&nbsp;&nbsp;&nbsp; Growth of e-commerce sector

3.2.1.5&nbsp;&nbsp;&nbsp; Rising need for enhanced customer experience

3.2.1.6&nbsp;&nbsp;&nbsp; Integration with IoT, real‑time tracking, and advanced logistic infrastructure

3.2.2&nbsp;&nbsp;&nbsp; Industry pitfalls and challenges

3.2.2.1&nbsp;&nbsp;&nbsp; Data quality and integration concern

3.2.2.2&nbsp;&nbsp;&nbsp; Integration with legacy systems

3.2.3&nbsp;&nbsp;&nbsp; Market opportunities

3.2.3.1&nbsp;&nbsp;&nbsp; Real‑time supply‑chain visibility &amp; dynamic optimization

3.2.3.2&nbsp;&nbsp;&nbsp; Predictive analytics &amp; demand forecasting for inventory and supply‑chain planning

3.2.3.3&nbsp;&nbsp;&nbsp; Warehouse automation, smart warehousing &amp; robotics integration

3.2.3.4&nbsp;&nbsp;&nbsp; Fleet management &amp; predictive maintenance for transport assets

3.3&nbsp;&nbsp;&nbsp; Growth potential analysis

3.4&nbsp;&nbsp;&nbsp; Regulatory landscape

3.5&nbsp;&nbsp;&nbsp; Porter&rsquo;s analysis

3.6&nbsp;&nbsp;&nbsp; PESTEL analysis

3.7&nbsp;&nbsp;&nbsp; Technology and innovation landscape

3.7.1&nbsp;&nbsp;&nbsp; Current technological trends

3.7.2&nbsp;&nbsp;&nbsp; Emerging technologies

3.8&nbsp;&nbsp;&nbsp; Patent analysis

3.9&nbsp;&nbsp;&nbsp; Use cases &amp; success stories

3.10&nbsp;&nbsp;&nbsp; Sustainability and environmental aspects

3.10.1&nbsp;&nbsp;&nbsp;Sustainable practices

3.10.2&nbsp;&nbsp;&nbsp;Waste reduction strategies

3.10.3&nbsp;&nbsp;&nbsp;Energy efficiency in production

3.10.4&nbsp;&nbsp;&nbsp;Eco-friendly Initiatives

3.10.5&nbsp;&nbsp;&nbsp;Carbon footprint considerations

3.11&nbsp;&nbsp;&nbsp; Future outlook and opportunities

Chapter 4&nbsp;&nbsp;&nbsp;Competitive Landscape, 2025

4.1&nbsp;&nbsp;&nbsp; Introduction

4.2&nbsp;&nbsp;&nbsp; Company market share analysis

4.2.1&nbsp;&nbsp;&nbsp; North America

4.2.2&nbsp;&nbsp;&nbsp; Europe

4.2.3&nbsp;&nbsp;&nbsp; Asia Pacific

4.2.4&nbsp;&nbsp;&nbsp; LATAM

4.2.5&nbsp;&nbsp;&nbsp; MEA

4.3&nbsp;&nbsp;&nbsp; Competitive analysis of major market players

4.4&nbsp;&nbsp;&nbsp; Competitive positioning matrix

4.5&nbsp;&nbsp;&nbsp; Strategic outlook matrix

4.6&nbsp;&nbsp;&nbsp; Key developments

4.6.1&nbsp;&nbsp;&nbsp; Mergers &amp; acquisitions

4.6.2&nbsp;&nbsp;&nbsp; Partnerships &amp; collaborations

4.6.3&nbsp;&nbsp;&nbsp; New product launches

4.6.4&nbsp;&nbsp;&nbsp; Expansion plans and funding

Chapter 5&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Component, 2022 - 2035 ($Bn)

5.1&nbsp;&nbsp;&nbsp; Key trends

5.2&nbsp;&nbsp;&nbsp; Software

5.3&nbsp;&nbsp;&nbsp; Services

5.3.1&nbsp;&nbsp;&nbsp; Managed

5.3.2&nbsp;&nbsp;&nbsp; Professional

Chapter 6&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Technique, 2022 - 2035 ($Bn)

6.1&nbsp;&nbsp;&nbsp; Key trends

6.2&nbsp;&nbsp;&nbsp; Supervised learning

6.3&nbsp;&nbsp;&nbsp; Unsupervised learning

Chapter 7&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Organization Size, 2022 - 2035 ($Bn)

7.1&nbsp;&nbsp;&nbsp; Key trends

7.2&nbsp;&nbsp;&nbsp; Large enterprises

7.3&nbsp;&nbsp;&nbsp; Small and medium-sized enterprises (SMEs)

Chapter 8&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Deployment Model, 2022 - 2035 ($Bn)

8.1&nbsp;&nbsp;&nbsp; Key trends

8.2&nbsp;&nbsp;&nbsp; Cloud-based

8.3&nbsp;&nbsp;&nbsp; On-premises

Chapter 9&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Application, 2022 - 2035 ($Bn)

9.1&nbsp;&nbsp;&nbsp; Key trends

9.2&nbsp;&nbsp;&nbsp; Inventory management

9.3&nbsp;&nbsp;&nbsp; Supply chain planning

9.4&nbsp;&nbsp;&nbsp; Transportation management

9.5&nbsp;&nbsp;&nbsp; Warehouse management

9.6&nbsp;&nbsp;&nbsp; Fleet management

9.7&nbsp;&nbsp;&nbsp; Risk management and security

9.8&nbsp;&nbsp;&nbsp; Others

Chapter 10&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By End Use, 2022 - 2035 ($Bn)

10.1&nbsp;&nbsp;&nbsp; Key trends

10.2&nbsp;&nbsp;&nbsp; Retail and e-commerce

10.3&nbsp;&nbsp;&nbsp; Manufacturing

10.4&nbsp;&nbsp;&nbsp; Healthcare

10.5&nbsp;&nbsp;&nbsp; Automotive

10.6&nbsp;&nbsp;&nbsp; Food &amp; beverage

10.7&nbsp;&nbsp;&nbsp; Consumer goods

10.8&nbsp;&nbsp;&nbsp; Others

Chapter 11&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Region, 2022 - 2035 (USD Mn, Units)

11.1&nbsp;&nbsp;&nbsp; Key trends

11.2&nbsp;&nbsp;&nbsp; North America

11.2.1&nbsp;&nbsp;&nbsp;US

11.2.2&nbsp;&nbsp;&nbsp;Canada

11.3&nbsp;&nbsp;&nbsp; Europe

11.3.1&nbsp;&nbsp;&nbsp;Germany

11.3.2&nbsp;&nbsp;&nbsp;UK

11.3.3&nbsp;&nbsp;&nbsp;France

11.3.4&nbsp;&nbsp;&nbsp;Italy

11.3.5&nbsp;&nbsp;&nbsp;Spain

11.3.6&nbsp;&nbsp;&nbsp;Russia

11.3.7&nbsp;&nbsp;&nbsp;Nordics

11.3.8&nbsp;&nbsp;&nbsp;Benelux

11.4&nbsp;&nbsp;&nbsp; Asia Pacific

11.4.1&nbsp;&nbsp;&nbsp;China

11.4.2&nbsp;&nbsp;&nbsp;India

11.4.3&nbsp;&nbsp;&nbsp;Japan

11.4.4&nbsp;&nbsp;&nbsp;Australia

11.4.5&nbsp;&nbsp;&nbsp;South Korea

11.4.6&nbsp;&nbsp;&nbsp;Singapore

11.4.7&nbsp;&nbsp;&nbsp;Thailand

11.4.8&nbsp;&nbsp;&nbsp;Indonesia

11.4.9&nbsp;&nbsp;&nbsp;Vietnam

11.5&nbsp;&nbsp;&nbsp; Latin America

11.5.1&nbsp;&nbsp;&nbsp;Brazil

11.5.2&nbsp;&nbsp;&nbsp;Mexico

11.5.3&nbsp;&nbsp;&nbsp;Argentina

11.5.4&nbsp;&nbsp;&nbsp;Colombia

11.6&nbsp;&nbsp;&nbsp; MEA

11.6.1&nbsp;&nbsp;&nbsp;South Africa

11.6.2&nbsp;&nbsp;&nbsp;Saudi Arabia

11.6.3&nbsp;&nbsp;&nbsp;UAE

Chapter 12&nbsp;&nbsp;&nbsp;Company Profiles

12.1&nbsp;&nbsp;&nbsp; Global Players

12.1.1&nbsp;&nbsp;&nbsp;Amazon Web Services

12.1.2&nbsp;&nbsp;&nbsp;DHL Supply Chain

12.1.3&nbsp;&nbsp;&nbsp;FedEx

12.1.4&nbsp;&nbsp;&nbsp;Google Cloud Platform (GCP)

12.1.5&nbsp;&nbsp;&nbsp;International Business Machines (IBM)

12.1.6&nbsp;&nbsp;&nbsp;Microsoft

12.1.7&nbsp;&nbsp;&nbsp;Oracle

12.1.8&nbsp;&nbsp;&nbsp;SAP SE

12.1.9&nbsp;&nbsp;&nbsp;Uber Technologies

12.1.10&nbsp;&nbsp;&nbsp; United Parcel Service

12.2&nbsp;&nbsp;&nbsp; Regional Players

12.2.1&nbsp;&nbsp;&nbsp;Blue Yonder Group

12.2.2&nbsp;&nbsp;&nbsp;C.H. Robinson Worldwide

12.2.3&nbsp;&nbsp;&nbsp;Convoy

12.2.4&nbsp;&nbsp;&nbsp;Coupa Software

12.2.5&nbsp;&nbsp;&nbsp;Flexport

12.2.6&nbsp;&nbsp;&nbsp;Infor

12.2.7&nbsp;&nbsp;&nbsp;Locus Robotics

12.2.8&nbsp;&nbsp;&nbsp;Manhattan Associates

12.2.9&nbsp;&nbsp;&nbsp;Trimble

12.3&nbsp;&nbsp;&nbsp; Emerging Technology Innovators

12.3.1&nbsp;&nbsp;&nbsp;ClearMetal

12.3.2&nbsp;&nbsp;&nbsp;FourKites

12.3.3&nbsp;&nbsp;&nbsp;Project44

12.3.4&nbsp;&nbsp;&nbsp;Shipwell

12.3.5&nbsp;&nbsp;&nbsp;Waymo LLC

&nbsp;&nbsp;&nbsp;

Machine Learning in Logistics Market

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