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Intralogistics Automation Solutions Market - Global Forecast 2025-2032

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    Report

  • 192 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 5934751
UP TO OFF until Jan 01st 2026
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Intralogistics automation solutions are advancing enterprise supply chain management, equipping senior leaders with the tools to improve operational adaptability, efficiency, and decision-making within increasingly digital environments. Through the adoption of integrated technologies, organizations are better suited to manage logistic challenges and support seamless workflow transformation.

Market Snapshot: Intralogistics Automation Solutions Market

The global intralogistics automation solutions market continues to demonstrate sustained growth as organizations address rising digital commerce, labor shortages, and the need for more resilient supply chains. In 2024, the market value reached USD 28.49 billion, with projections indicating expansion up to USD 54.93 billion by 2032 and a compound annual growth rate (CAGR) of 8.55%. Primary market drivers include the need for real-time traceability, evolving demand for advanced data analytics, and continued investment in resilient logistics infrastructures. Enterprises invest strategically to enhance warehouse and distribution center operations, align automation technology with regional requirements, and address increasing logistics network complexity.

Scope & Segmentation of Intralogistics Automation Solutions

This report offers actionable insights for senior decision-makers looking to implement or expand automation across logistics and enterprise environments. It reviews core solution types, analyzes industry adoption patterns, and examines technology impacts by segment and geography.

  • Offering: Scalable automation hardware improves warehouse productivity; logistics management software ensures process integration and operational transparency; professional consulting and integration streamline solution deployment for enterprises.
  • Type: Automated guided vehicles (AGVs) deliver reliable material transport; storage and retrieval systems use intelligent controls for inventory optimization; autonomous mobile robots perform variable warehouse tasks; conveyors and sorters drive fast goods handling.
  • Application: Solutions enhance order picking accuracy, support flexible palletizing for mixed-product environments, improve packing efficiency, automate storage and retrieval, and enable streamlined material handling for throughput gains.
  • End-Use Industry: Major sectors include automotive, manufacturing, e-commerce, retail, logistics, pharmaceuticals, food and beverage, and healthcare, each adapting automation to specific compliance needs and digital maturity levels.
  • Deployment Mode: Organizations select either on-premise or cloud-based systems to suit IT infrastructure, regulatory demands, and risk assessments.
  • Region: North America, Latin America, Europe, Middle East & Africa, and Asia-Pacific each emphasize different technology adoption rates and regulatory conditions, adapting solutions to match local supply chain dynamics.

Market leaders—including KION Group AG, Toyota Industries Corporation, and Daifuku Co., Ltd.—sustain competitiveness by broadening their solution portfolios and introducing agile, tailored offerings responsive to shifting operational requirements.

Key Takeaways for Senior Decision-Makers

  • Leveraging intralogistics automation technologies supports rapid adaptation to market changes while reinforcing the stability and resilience of supply chain operations.
  • Flexible procurement options, such as robotics as a service, allow scalable investments and improved control over operational and capital expenses without compromising growth potential.
  • Artificial intelligence and IoT integration deliver enhanced monitoring, predictive insight, and optimized resource distribution, supporting continuous process improvement across logistics environments.
  • Collaboration between technology providers and systems integrators simplifies technology transitions, ensuring tailored solution development for diverse organizational goals.
  • Choosing between on-premise and cloud deployments enables organizations to align data governance and regulatory compliance with distinct regional requirements.
  • Regular workforce training programs optimize technology investment returns and promote operational consistency throughout different levels of the organization.

Tariff Impact: Intralogistics Automation Solutions Market

Recent changes in U.S. tariff policy are prompting supply chain leaders to revise risk management plans and reassess operational expenditures. Enterprises are responding by diversifying suppliers, increasing nearshoring, and deploying advanced logistics management systems. These measures help maintain operational stability and compliance amid evolving policy landscapes that affect regulatory and client obligations.

Methodology & Data Sources

The research draws from executive interviews, focused market surveys, and verified secondary materials. Analysis utilizes frameworks such as SWOT, Porter’s Five Forces, and scenario modeling methods to provide reliable strategic planning guidance for decision-makers.

Why This Report Matters

  • Empowers executives to allocate resources effectively and coordinate successfully with technology partners, establishing scalable pathways for intralogistics automation.
  • Delivers clear recommendations for strengthening compliance, advancing risk management objectives, and supporting comprehensive digital transformation initiatives.
  • Equips organizations with the data and strategic context needed for confident decisions and sustained business continuity amid uncertain policy and market conditions.

Conclusion

Intralogistics automation solutions provide organizations the ability to master increasingly complex logistics environments. Strategic adoption enhances collaboration with suppliers and secures operational consistency, even as technologies and regulations continue to evolve.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of advanced AI-driven predictive analytics for dynamic order fulfillment scheduling using real-time data streams in automated warehouses
5.2. Adoption of collaborative autonomous mobile robots with integrated safety sensors for seamless human-robot interaction in fulfillment centers
5.3. Implementation of hybrid pallet shuttle and conveyor systems leveraging IoT connectivity for optimized multi-zone inventory transport
5.4. Deployment of cloud-based warehouse execution systems with real-time visibility and dynamic task allocation across heterogeneous automation fleets
5.5. Utilization of vision-guided robotic picking systems enhanced by deep learning algorithms for high-accuracy order assembly in e-commerce distribution
5.6. Emergence of energy-efficient autonomous forklifts with regenerative braking and solar charging modules reducing carbon footprint in intralogistics
5.7. Integration of digital twin simulation platforms with live warehouse data feeds to optimize layout design and throughput performance in real time
5.8. Expansion of last-mile micro-fulfillment centers employing compact automated storage and retrieval systems within urban retail environments
5.9. Incorporation of blockchain-enabled tracking and traceability solutions for ensuring supply chain transparency and reducing counterfeit risk in automated warehouses
5.10. Adoption of multi-layer vertical lift modules combined with shuttle robots for maximizing storage density and accelerating batch picking efficiency
5.11. Implementation of predictive maintenance frameworks powered by IoT sensor networks and machine learning for minimizing unplanned intralogistics downtime
5.12. Development of augmented reality guided workflows for warehouse operators to improve picking accuracy and training efficiency in complex automated facilities
5.13. Advancement of swarming autonomous mobile robot fleets orchestrated by centralized AI dispatch systems for dynamic path optimization in high-density warehouses
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Intralogistics Automation Solutions Market, by Offering
8.1. Hardware
8.2. Services
8.3. Software
9. Intralogistics Automation Solutions Market, by Type
9.1. Automated Guided Vehicles
9.1.1. Laser Guided
9.1.2. Magnetic Tape Guided
9.1.3. Natural Feature Navigation
9.2. Automated Storage and Retrieval Systems
9.3. Autonomous Mobile Robots
9.3.1. Differential Drive
9.3.2. Omnidirectional
9.4. Conveyor Systems
9.5. Sortation Systems
10. Intralogistics Automation Solutions Market, by Application
10.1. Packing & Palletizing
10.2. Picking
10.3. Sorting
10.4. Storage & Retrieval
10.5. Transportation
11. Intralogistics Automation Solutions Market, by End-Use Industry
11.1. Automotive
11.2. E-Commerce & Retail
11.3. Food & Beverage
11.4. Manufacturing
11.5. Pharmaceutical & Healthcare
11.6. Third-Party Logistics
12. Intralogistics Automation Solutions Market, by Deployment Mode
12.1. Cloud
12.2. On-Premise
13. Intralogistics Automation Solutions Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Intralogistics Automation Solutions Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Intralogistics Automation Solutions Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. KION Group AG
16.3.2. Toyota Industries Corporation
16.3.3. Daifuku Co., Ltd.
16.3.4. Mitsubishi Logisnext Co., Ltd.
16.3.5. Jungheinrich AG
16.3.6. KUKA AG
16.3.7. SSI Schäfer Group
16.3.8. Swisslog AG
16.3.9. Vanderlande Industries Holding B.V.
16.3.10. Honeywell International Inc.

Companies Mentioned

The companies profiled in this Intralogistics Automation Solutions market report include:
  • KION Group AG
  • Toyota Industries Corporation
  • Daifuku Co., Ltd.
  • Mitsubishi Logisnext Co., Ltd.
  • Jungheinrich AG
  • KUKA AG
  • SSI Schäfer Group
  • Swisslog AG
  • Vanderlande Industries Holding B.V.
  • Honeywell International Inc.

Table Information