The global market for Intralogistics Automation Solutions was estimated at US$22.4 Billion in 2024 and is projected to reach US$34.7 Billion by 2030, growing at a CAGR of 7.6% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Intralogistics Automation Solutions market.
With the increasing demand for faster order fulfillment, rising labor costs, and the need for error-free inventory management, businesses are investing in smart warehouses and autonomous material handling systems. Technologies such as autonomous mobile robots (AMRs), automated guided vehicles (AGVs), robotic picking systems, and AI-driven demand forecasting are reshaping how companies handle intralogistics, minimizing human intervention while maximizing efficiency.
Additionally, the COVID-19 pandemic accelerated the adoption of automation in warehouses and manufacturing facilities due to workforce shortages, the surge in e-commerce demand, and the need for touchless operations. The shift toward Industry 4.0 and digital transformation has further propelled the growth of intelligent intralogistics solutions, allowing businesses to optimize resources, reduce operational costs, and improve supply chain resilience.
Another significant trend is the integration of Internet of Things (IoT) and digital twins in intralogistics automation. IoT-enabled sensors and RFID tags allow real-time tracking of goods, providing end-to-end visibility into warehouse operations. Digital twin technology creates a virtual replica of logistics processes, allowing businesses to simulate warehouse layouts, test automation strategies, and optimize workflows before implementing changes in real-time operations.
The growing adoption of autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) is also transforming intralogistics. Unlike traditional conveyor belts and fixed automation systems, AMRs and AGVs offer flexible and scalable solutions for dynamic warehouse environments. These self-navigating robots use LiDAR sensors, AI-based vision systems, and machine learning algorithms to move goods efficiently within distribution centers, reducing dependency on manual labor and increasing productivity.
The expansion of micro-fulfillment centers (MFCs) and dark warehouses is another key trend shaping the industry. With the surge in same-day and next-day delivery expectations, companies are setting up small, automated fulfillment centers closer to urban areas to accelerate order processing times. These centers rely on high-density storage systems, AI-driven robotics, and automated picking solutions to handle high-volume, fast-moving inventory efficiently.
Additionally, cloud-based warehouse management systems (WMS) and AI-powered logistics software are revolutionizing inventory tracking, route optimization, and demand planning. Cloud-based WMS solutions offer scalability, real-time insights, and seamless integration with enterprise resource planning (ERP) systems, enabling businesses to automate and centralize warehouse operations across multiple locations.
Another major challenge is integration with legacy systems and existing infrastructure. Many warehouses and manufacturing facilities still rely on traditional manual processes or semi-automated systems, making it difficult to seamlessly integrate advanced automation technologies. Ensuring compatibility between robotic systems, IoT sensors, WMS platforms, and enterprise software requires significant investment in customization and IT expertise.
Workforce adaptation and training challenges also pose obstacles to automation adoption. While automation reduces reliance on manual labor, companies still require skilled technicians and operators to manage, maintain, and troubleshoot automated systems. The lack of technical expertise and training programs for warehouse employees can slow down the transition to fully automated operations.
Additionally, cybersecurity threats and data privacy concerns have emerged as critical issues in automated warehouses and logistics centers. With IoT-connected devices, cloud-based WMS platforms, and AI-powered predictive analytics, the risk of data breaches, cyberattacks, and system vulnerabilities increases. Ensuring robust cybersecurity protocols, encrypted communication channels, and regular software updates is essential for protecting sensitive supply chain data.
Furthermore, supply chain disruptions and global semiconductor shortages have impacted the availability of robotics components, automation hardware, and AI processors, leading to extended lead times and increased costs for intralogistics automation solutions. Businesses must develop resilient supply chain strategies to mitigate risks associated with hardware shortages and fluctuating raw material prices.
Another key driver is the rising labor costs and workforce shortages in the logistics sector. The global shortage of warehouse workers and skilled supply chain professionals has intensified the need for autonomous intralogistics solutions. AMRs, AGVs, robotic arms, and AI-powered warehouse software are increasingly being deployed to compensate for labor gaps while improving operational efficiency.
The increasing adoption of Industry 4.0 and smart factory initiatives is further fueling market growth. Companies across manufacturing, automotive, food & beverage, and pharmaceuticals are leveraging IoT-connected logistics systems, AI-driven predictive analytics, and real-time inventory tracking to create fully automated and data-driven supply chains. Smart warehouses equipped with cloud-based WMS, digital twins, and blockchain-enabled logistics tracking are helping businesses optimize material flow, reduce waste, and improve traceability.
Additionally, government incentives and investments in automation technologies are supporting market expansion. Countries worldwide are investing in industrial automation, smart manufacturing hubs, and digital logistics infrastructure to boost global trade competitiveness and economic growth. Financial incentives, tax credits, and funding programs for robotic automation and AI-driven supply chain solutions are encouraging businesses to transition to fully automated logistics models.
With ongoing advancements in robotics, AI, and digital logistics platforms, the intralogistics automation market is set for continuous growth and innovation. Companies that invest in scalable, integrated, and AI-driven automation solutions will gain a competitive advantage in modern supply chain management, driving efficiency, reducing costs, and enhancing operational agility in an increasingly automated world.
Global Intralogistics Automation Solutions Market - Key Trends & Drivers Summarized
How Is Intralogistics Automation Revolutionizing Supply Chain Operations?
The intralogistics automation solutions market is experiencing rapid growth as industries strive to improve operational efficiency, warehouse management, and supply chain optimization. Intralogistics automation refers to the integration of advanced robotics, artificial intelligence (AI), Internet of Things (IoT), automated storage and retrieval systems (AS/RS), conveyor systems, and warehouse management software (WMS) to streamline material handling and internal logistics. These solutions are essential for e-commerce fulfillment centers, manufacturing plants, retail distribution hubs, and third-party logistics (3PL) providers, ensuring seamless movement of goods from storage to dispatch.With the increasing demand for faster order fulfillment, rising labor costs, and the need for error-free inventory management, businesses are investing in smart warehouses and autonomous material handling systems. Technologies such as autonomous mobile robots (AMRs), automated guided vehicles (AGVs), robotic picking systems, and AI-driven demand forecasting are reshaping how companies handle intralogistics, minimizing human intervention while maximizing efficiency.
Additionally, the COVID-19 pandemic accelerated the adoption of automation in warehouses and manufacturing facilities due to workforce shortages, the surge in e-commerce demand, and the need for touchless operations. The shift toward Industry 4.0 and digital transformation has further propelled the growth of intelligent intralogistics solutions, allowing businesses to optimize resources, reduce operational costs, and improve supply chain resilience.
What Are the Emerging Trends in the Intralogistics Automation Market?
One of the most notable trends in intralogistics automation is the rise of AI-powered robotics and machine learning (ML) for predictive analytics. AI-driven robotic picking, packing, and palletizing systems are enhancing warehouse operations by reducing human error, increasing throughput, and improving order accuracy. Machine learning algorithms analyze historical data to predict demand fluctuations, optimize inventory levels, and automate replenishment processes, helping businesses make data-driven decisions.Another significant trend is the integration of Internet of Things (IoT) and digital twins in intralogistics automation. IoT-enabled sensors and RFID tags allow real-time tracking of goods, providing end-to-end visibility into warehouse operations. Digital twin technology creates a virtual replica of logistics processes, allowing businesses to simulate warehouse layouts, test automation strategies, and optimize workflows before implementing changes in real-time operations.
The growing adoption of autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) is also transforming intralogistics. Unlike traditional conveyor belts and fixed automation systems, AMRs and AGVs offer flexible and scalable solutions for dynamic warehouse environments. These self-navigating robots use LiDAR sensors, AI-based vision systems, and machine learning algorithms to move goods efficiently within distribution centers, reducing dependency on manual labor and increasing productivity.
The expansion of micro-fulfillment centers (MFCs) and dark warehouses is another key trend shaping the industry. With the surge in same-day and next-day delivery expectations, companies are setting up small, automated fulfillment centers closer to urban areas to accelerate order processing times. These centers rely on high-density storage systems, AI-driven robotics, and automated picking solutions to handle high-volume, fast-moving inventory efficiently.
Additionally, cloud-based warehouse management systems (WMS) and AI-powered logistics software are revolutionizing inventory tracking, route optimization, and demand planning. Cloud-based WMS solutions offer scalability, real-time insights, and seamless integration with enterprise resource planning (ERP) systems, enabling businesses to automate and centralize warehouse operations across multiple locations.
What Challenges Are Hindering the Growth of Intralogistics Automation?
Despite its benefits, the intralogistics automation market faces several challenges, including high initial investment costs, integration complexities, and cybersecurity risks. One of the biggest barriers to adoption is the substantial capital expenditure required for implementing robotics, AI-powered systems, and automated material handling solutions. While automation reduces long-term operational costs, the upfront costs of purchasing, installing, and maintaining automation equipment can be prohibitive, particularly for small and mid-sized enterprises (SMEs).Another major challenge is integration with legacy systems and existing infrastructure. Many warehouses and manufacturing facilities still rely on traditional manual processes or semi-automated systems, making it difficult to seamlessly integrate advanced automation technologies. Ensuring compatibility between robotic systems, IoT sensors, WMS platforms, and enterprise software requires significant investment in customization and IT expertise.
Workforce adaptation and training challenges also pose obstacles to automation adoption. While automation reduces reliance on manual labor, companies still require skilled technicians and operators to manage, maintain, and troubleshoot automated systems. The lack of technical expertise and training programs for warehouse employees can slow down the transition to fully automated operations.
Additionally, cybersecurity threats and data privacy concerns have emerged as critical issues in automated warehouses and logistics centers. With IoT-connected devices, cloud-based WMS platforms, and AI-powered predictive analytics, the risk of data breaches, cyberattacks, and system vulnerabilities increases. Ensuring robust cybersecurity protocols, encrypted communication channels, and regular software updates is essential for protecting sensitive supply chain data.
Furthermore, supply chain disruptions and global semiconductor shortages have impacted the availability of robotics components, automation hardware, and AI processors, leading to extended lead times and increased costs for intralogistics automation solutions. Businesses must develop resilient supply chain strategies to mitigate risks associated with hardware shortages and fluctuating raw material prices.
What Factors Are Driving the Growth of the Intralogistics Automation Solutions Market?
The growth in the intralogistics automation solutions market is driven by several factors, including rising e-commerce demand, increasing labor shortages, advancements in AI and robotics, and the push for supply chain efficiency. One of the primary growth drivers is the rapid expansion of e-commerce and omnichannel retail. As consumers expect faster delivery times and seamless order fulfillment, retailers and logistics providers are investing heavily in automation to keep up with demand. Automated fulfillment centers, robotic sortation systems, and AI-driven inventory management are helping companies improve order accuracy, reduce processing times, and enhance customer satisfaction.Another key driver is the rising labor costs and workforce shortages in the logistics sector. The global shortage of warehouse workers and skilled supply chain professionals has intensified the need for autonomous intralogistics solutions. AMRs, AGVs, robotic arms, and AI-powered warehouse software are increasingly being deployed to compensate for labor gaps while improving operational efficiency.
The increasing adoption of Industry 4.0 and smart factory initiatives is further fueling market growth. Companies across manufacturing, automotive, food & beverage, and pharmaceuticals are leveraging IoT-connected logistics systems, AI-driven predictive analytics, and real-time inventory tracking to create fully automated and data-driven supply chains. Smart warehouses equipped with cloud-based WMS, digital twins, and blockchain-enabled logistics tracking are helping businesses optimize material flow, reduce waste, and improve traceability.
Additionally, government incentives and investments in automation technologies are supporting market expansion. Countries worldwide are investing in industrial automation, smart manufacturing hubs, and digital logistics infrastructure to boost global trade competitiveness and economic growth. Financial incentives, tax credits, and funding programs for robotic automation and AI-driven supply chain solutions are encouraging businesses to transition to fully automated logistics models.
With ongoing advancements in robotics, AI, and digital logistics platforms, the intralogistics automation market is set for continuous growth and innovation. Companies that invest in scalable, integrated, and AI-driven automation solutions will gain a competitive advantage in modern supply chain management, driving efficiency, reducing costs, and enhancing operational agility in an increasingly automated world.
Scope of Study:
The report analyzes the Intralogistics Automation Solutions market in terms of units by the following Segments, and Geographic Regions/Countries:- Segments: Technology (Automated Storage & Retrieval Systems, Automated Guided Vehicles, Autonomous Mobile Robots, Conveyor systems, Sortation systems, Warehouse Management Systems, Others); Automation (In-built machinery, Remote operated); Application (Inventory management, Loading & unloading, Material handling, Packaging, Palletizing & depalletizing, Warehousing); End-User (E-commerce & retail, Automotive, Food & Beverages, Pharmaceuticals & healthcare, Electronics & semiconductor, Aerospace, Chemicals, Others)
- Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Automated Storage & Retrieval Systems segment, which is expected to reach US$10.0 Billion by 2030 with a CAGR of a 9.0%. The Automated Guided Vehicles segment is also set to grow at 8.0% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, estimated at $6.1 Billion in 2024, and China, forecasted to grow at an impressive 12.0% CAGR to reach $7.4 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Intralogistics Automation Solutions Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Intralogistics Automation Solutions Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Intralogistics Automation Solutions Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as ABB Ltd., Armstrong, Bastian Solutions, Beumer Group, Daifuku Co., Ltd. and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 44 companies featured in this Intralogistics Automation Solutions market report include:
- ABB Ltd.
- Armstrong
- Bastian Solutions
- Beumer Group
- Daifuku Co., Ltd.
- Dematic
- Falcon Autotech
- FANUC Corporation
- Fives Group
- Honeywell Intelligrated
- Jungheinrich AG
- Kardex Group
- KION Group
- Knapp AG
- Körber AG
- KUKA AG
- Manhattan Associates
- Mecalux S.A.
- MHS Global
- Murata Machinery Ltd.
- Oracle Corporation
- Rockwell Automation, Inc.
- SAP SE
- Siemens AG
- SSI Schaefer
- Swisslog Holding AG
- Symbotic
- TGW Logistics Group
- Vanderlande
- WITRON Logistik + Informatik
This edition integrates the latest global trade and economic shifts as of June 2025 into comprehensive market analysis. Key updates include:
- Tariff and Trade Impact: Insights into global tariff negotiations across 180+ countries, with analysis of supply chain turbulence, sourcing disruptions, and geographic realignment. Special focus on 2025 as a pivotal year for trade tensions, including updated perspectives on the Trump-era tariffs.
- Adjusted Forecasts and Analytics: Revised global and regional market forecasts through 2030, incorporating tariff effects, economic uncertainty, and structural changes in globalization. Includes segmentation by product, technology, type, material, distribution channel, application, and end-use, with historical analysis since 2015.
- Strategic Market Dynamics: Evaluation of revised market prospects, regional outlooks, and key economic indicators such as population and urbanization trends.
- Innovation & Technology Trends: Latest developments in product and process innovation, emerging technologies, and key industry drivers shaping the competitive landscape.
- Competitive Intelligence: Updated global market share estimates for 2025, competitive positioning of major players (Strong/Active/Niche/Trivial), and refined focus on leading global brands and core players.
- Expert Insight & Commentary: Strategic analysis from economists, trade experts, and domain specialists to contextualize market shifts and identify emerging opportunities.
- Complimentary Update: Buyers receive a free July 2025 update with finalized tariff impacts, new trade agreement effects, revised projections, and expanded country-level coverage.
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
III. MARKET ANALYSIS
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ABB Ltd.
- Armstrong
- Bastian Solutions
- Beumer Group
- Daifuku Co., Ltd.
- Dematic
- Falcon Autotech
- FANUC Corporation
- Fives Group
- Honeywell Intelligrated
- Jungheinrich AG
- Kardex Group
- KION Group
- Knapp AG
- Körber AG
- KUKA AG
- Manhattan Associates
- Mecalux S.A.
- MHS Global
- Murata Machinery Ltd.
- Oracle Corporation
- Rockwell Automation, Inc.
- SAP SE
- Siemens AG
- SSI Schaefer
- Swisslog Holding AG
- Symbotic
- TGW Logistics Group
- Vanderlande
- WITRON Logistik + Informatik
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 97 |
| Published | June 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 22.4 Billion |
| Forecasted Market Value ( USD | $ 34.7 Billion |
| Compound Annual Growth Rate | 7.6% |
| Regions Covered | Global |
