Intralogistics Automation Solutions Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Intralogistics Automation Solutions Market was valued at USD 21.4 billion in 2023 and is expected to grow at a CAGR of over 8% from 2024 to 2032. This growth is primarily driven by the rapid expansion of e-commerce, increasing demand for fast and accurate order fulfillment, and the need for efficient warehouse operations. Intralogistics automation solutions provide enhanced accuracy, reduced labor costs, improved productivity, and better space utilization, making them increasingly popular across various industries.

The market expansion is also supported by companies continuously developing more advanced and integrated solutions for managing warehouse operations. Additionally, the COVID-19 pandemic has accelerated the adoption of automation as businesses seek to maintain operations with minimal human intervention and ensure continuity during disruptions.

Technological advancements like artificial intelligence (AI), machine learning (ML), and the Internet of Things are transforming the intralogistics landscape. These technologies enable companies to develop intelligent and adaptive automation systems capable of real-time decision-making and optimization, resulting in improved efficiency and adaptability in handling logistics operations.

The market is segmented by technology into Automated Storage and Retrieval Systems (AS/RS), Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs), Conveyor Systems, Sortation Systems, Warehouse Management Systems (WMS), and others. In 2023, the AS/RS segment accounted for over USD 5 billion, driven by the need for efficient space utilization in warehouses and distribution centers. These systems allow businesses to reduce storage footprints and improve accessibility to goods, optimizing storage capacity and enhancing productivity.

The market is also categorized by automation type, including in-built machinery and remote-operated systems. The in-built machinery segment is expected to grow at the highest CAGR of over 7.5% between 2024 and 2032. This segment offers seamless integration within existing warehouse structures, providing consistent performance and reliability. The increasing demand for fully automated warehouse solutions is driving growth, as companies aim to minimize human intervention and maximize operational efficiency.

North America led the global intralogistics automation solutions industry with a 35% share in 2023, driven by high labor costs, advanced technological infrastructure, and early adoption of automation technologies in the region. The region's leadership highlights a broader shift towards automation to enhance productivity and maintain competitiveness in the global market.

Product Code: 10650

Chapter 1 Methodology and Scope

1.1 Market scope and definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates and 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 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Software provider
- 3.2.2 System integrators
- 3.2.3 Service providers
- 3.2.4 Distribution channel
- 3.2.5 End users
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Integration of AI and IoT in automation solutions
  - 3.8.1.2 Growth in e-commerce and retail sector
  - 3.8.1.3 Rise in global trade and industrialization
  - 3.8.1.4 Increasing labor costs and shortages of skilled workers
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High Initial Investment
  - 3.8.2.2 Complexity of integrating new systems with existing infrastructure
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
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 and Forecast, By Technology, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Automated storage and retrieval systems (AS/RS)
5.3 Automated guided vehicles (AGVs)
5.4 Autonomous mobile robots (AMRs)
5.5 Conveyor systems
5.6 Sortation systems
5.7 Warehouse management systems (WMS)
5.8 Others

Chapter 6 Market Estimates and Forecast, By Automation, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 In-built machinery
6.3 Remote operated

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Inventory management
7.3 Loading and unloading
7.4 Material handling
7.5 Packaging
7.6 Palletizing and depalletizing
7.7 Warehousing

Chapter 8 Market Estimates and Forecast, By End User, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 E-commerce and retail
8.3 Automotive
8.4 Food and beverage
8.5 Pharmaceuticals and healthcare
8.6 Electronics and semiconductor
8.7 Aerospace
8.8 Chemicals
8.9 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Nordics
- 9.3.8 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 Australia
- 9.4.5 South Korea
- 9.4.6 Southeast Asia
- 9.4.7 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.5.4 Rest of Latin America
9.6 MEA
- 9.6.1 UAE
- 9.6.2 South Africa
- 9.6.3 Saudi Arabia
- 9.6.4 Rest of MEA

Chapter 10 Company Profiles

10.1 Bastian Solutions, LLC
10.2 Beumer Group GmbH and Co. KG
10.3 Conveyco Technologies
10.4 Daifuku Co., Ltd.
10.5 Dematic Corporation
10.6 Fives Group
10.7 Grenzebach Group
10.8 Honeywell Intelligrated
10.9 Jungheinrich AG
10.10 Kardex Group
10.11 KION Group AG
10.12 Knapp AG
10.13 Mecalux, S.A.
10.14 Murata Machinery, Ltd.
10.15 SSI Schaefer AG
10.16 Swisslog Holding AG
10.17 TGW Logistics Group GmbH
10.18 Toyota Industries Corporation
10.19 Vanderlande Industries B.V.
10.20 Witron Logistik + Informatik GmbH