Summary

The Logistics Automation market is projected to grow from USD 35.14 billion in 2024 to USD 52.53 billion by 2029, at a compound annual growth rate (CAGR) of 8.4% during the forecast period. The market is anticipated to grow due to the rise of online retail and the demand for faster delivery, integration of AI, machine learning, and IoT in logistics systems, and growing labor shortages and rising labor costs have pushed companies to invest in automation technologies like robotics to maintain operational efficiency. However, growth may be restrained by the cost of implementing automation technologies, including robotics, AI, and autonomous vehicles, which can be prohibitively expensive, and the unexpected downtimes of automated logistics systems, which could disrupt logistics operations and lead to financial losses.
“Storage solutions segment is expected to hold the largest market share during the forecast period”
The storage solutions segment will hold the largest market share in logistics automation due to the growing demand for optimized warehouse space, driven by e-commerce and high-volume inventory management. Automated storage and retrieval systems (AS/RS) are key enablers, allowing companies to maximize storage density, reduce labor dependency, and enhance picking accuracy. AS/RS solutions also improve order processing speed and inventory tracking, crucial for meeting consumer expectations for faster delivery. Their ability to handle diverse inventory types and minimize warehouse footprints makes them indispensable for large-scale logistics operations.
“The retail and e-commerce enterprise type will have the fastest growth rate during the forecast period”
The retail and e-commerce sector within the enterprise segment is poised to have the fastest growth rate in the logistics automation market, driven by the rapid expansion of online shopping and the increasing demand for faster delivery services. Retailers and e-commerce platforms face immense pressure to optimize supply chains, reduce order processing times, and manage high-volume inventories. Automation technologies such as robotics, AI-driven warehouse management, and automated sorting systems are crucial in meeting these demands. Additionally, the surge in omnichannel retailing and same-day delivery expectations further fuels the need for automated logistics solutions in this sector.
“Asia Pacific's to witness rapid logistics automation growth fueled by innovation and emerging technologies”
The Asia Pacific region is expected to witness the fastest growth rate in the logistics automation market due to the rapid expansion of e-commerce, rising manufacturing activities, and increasing investments in infrastructure and technology by countries like China, India, and Japan. The region's large consumer base and the rise of online retail platforms have fueled the need for streamlined logistics processes, including automated warehouses, autonomous vehicles, and AI-powered inventory management systems. Additionally, government initiatives promoting smart manufacturing and digitalization, particularly in China and India, are accelerating the adoption of logistics automation technologies. Asia Pacific's robust infrastructure development, coupled with its focus on innovation and investment in automation technologies, positions it as the dominant player in the global logistics automation market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Logistics Automation market.
 By Company: Tier I – 34%, Tier II – 43%, and Tier III – 23%
 By Designation: C-Level Executives – 50%, D-Level Executives – 30%, and others – 20%
 By Region: North America – 30%, Europe – 25%, Asia Pacific – 35%, Middle East & Africa – 5%, and Latin America – 5%
The report includes the study of key players offering Logistics Automation solutions and services. It profiles major vendors in the Logistics Automation market. The major players in the Logistics Automation market include KION Group (Germany), Honeywell (US), Daifuku (Japan), IBM (US), SAP (Germany), Oracle (US), ABB (Switzerland), Manhattan Associates (US), KUKA Group (Germany), Jungheinrich (Germany), Toshiba (Japan), Toyota Industries (Japan), Zebra Technologies (US), Kardex Group (Switzerland), Symbotic (US), KNAPP (Austria), SSI Schaefer (Germany), Blue Yonder (US), Murata Machinery (Japan), TGW Logistics (Austria), Körber AG (Germany), Beumer Group (Germany), Mecalux International (Spain), Hardis Group (France), JR Automation (US), Ecovium (Germany), System Logistics (Italy), Automated Logistics Systems (US), Savoye (US), Locus Robotics (US), GreyOrange (US), Falcon Autotech (India), Logistically (US), Logiwa (US) and Rossum (Czech Republic).

Research coverage
This research report categorizes the Logistics Automation market By Offering (automated systems (robotic systems, storage solutions, automatic identification & data collection, others), automation software (transport management systems, warehouse management systems, order management software), software by deployment mode (cloud and on-premises)), By Logistics Type (inbound logistics (procurement logistics, production logistics), outbound/sales logistics, reverse logistics), By Technology (robotic process automation (RPA), artificial intelligence & analytics, internet of things (IoT) platform, blockchain, big data, others), By end user, enterprise type (retail & e-commerce, healthcare & pharmaceuticals, manufacturing, automotive, food & beverages, metal & machinery, third party-logistics (3PL), other enterprises), and By Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the logistics automation market. A detailed analysis of the key industry players has been done to provide insights into their business overview, products, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the logistics automation market. Competitive analysis of upcoming startups in the logistics automation market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall logistics automation market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
• Analysis of key drivers (rise in e-commerce activities, increasing adoption of autonomous robots, growing demand for 3PL services, and need for occupational safety), restraints (lack of uniform governance standards and high capital investment), opportunities (implementation of autonomous vehicles & drones, automation-as-a-service to revolutionize logistics, and growing adoption of industry 4.0), and challenges (integration with existing systems and staff training and labor concerns).
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the logistics automation market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the logistics automation market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the logistics automation market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like KION Group (Germany), Honeywell (US), Daifuku (Japan), IBM (US), SAP (Germany), Oracle (US), ABB (Switzerland), Manhattan Associates (US), KUKA Group (Germany), Jungheinrich (Germany), Toshiba (Japan), Toyota Industries (Japan), Zebra Technologies (US), Kardex Group (Switzerland), Symbotic (US), KNAPP (Austria), SSI Schaefer (Germany), Blue Yonder (US), Murata Machinery (Japan), TGW Logistics (Austria), Körber AG (Germany), Beumer Group (Germany), Mecalux International (Spain), Hardis Group (France), JR Automation (US), Ecovium (Germany), System Logistics (Italy), Automated Logistics Systems (US), Savoye (US), Locus Robotics (US), GreyOrange (US), Falcon Autotech (India), Logistically (US), Logiwa (US) and Rossum (Czech Republic), among others in the logistics automation market. The report also helps stakeholders understand the pulse of the logistics automation market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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Table of Contents

1 INTRODUCTION 38
1.1 STUDY OBJECTIVES 38
1.2 MARKET DEFINITION 38
1.2.1 INCLUSIONS AND EXCLUSIONS 39
1.3 MARKET SCOPE 39
1.3.1 MARKET SEGMENTATION 40
1.3.2 YEARS CONSIDERED 41
1.4 CURRENCY CONSIDERED 41
1.5 STAKEHOLDERS 42
1.6 SUMMARY OF CHANGES 42
2 RESEARCH METHODOLOGY 44
2.1 RESEARCH DATA 44
2.1.1 SECONDARY DATA 45
2.1.2 PRIMARY DATA 45
2.1.2.1 Breakup of primary profiles 46
2.1.2.2 Key industry insights 46
2.2 MARKET BREAKUP AND DATA TRIANGULATION 47
2.3 MARKET SIZE ESTIMATION 48
2.3.1 TOP-DOWN APPROACH 48
2.3.2 BOTTOM-UP APPROACH 49
2.4 MARKET FORECAST 53
2.5 RESEARCH ASSUMPTIONS 54
2.6 RESEARCH LIMITATIONS 55
3 EXECUTIVE SUMMARY 56
4 PREMIUM INSIGHTS 63
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN LOGISTICS AUTOMATION MARKET 63
4.2 LOGISTICS AUTOMATION MARKET: TOP 3 ENTERPRISES 64
4.3 LOGISTICS AUTOMATION MARKET IN NORTH AMERICA: TOP 3 ROBOTIC SYSTEMS AND AUTOMATION SOFTWARE 64
4.4 LOGISTICS AUTOMATION MARKET, BY REGION 65
5 MARKET OVERVIEW AND INDUSTRY TRENDS 66
5.1 INTRODUCTION 66
5.2 MARKET DYNAMICS 66
5.2.1 DRIVERS 67
5.2.1.1 Rise in e-commerce activities 67
5.2.1.2 Increasing adoption of autonomous robots 67
5.2.1.3 Growing demand for 3PL services 68
5.2.1.4 Need for occupational safety 68
5.2.2 RESTRAINTS 68
5.2.2.1 Lack of uniform governance standards 68
5.2.2.2 High capital investment 69
5.2.3 OPPORTUNITIES 69
5.2.3.1 Implementation of autonomous vehicles and drones 69
5.2.3.2 Automation-as-a-service to revolutionize logistics 69
5.2.3.3 Growing adoption of Industry 4.0 70
5.2.4 CHALLENGES 70
5.2.4.1 Integration with existing systems 70
5.2.4.2 Staff training and labor concerns 70
5.2.5 TOP USE CASES & MARKET POTENTIAL 71
5.2.5.1 Key use cases 71
5.2.6 WAREHOUSE AUTOMATION 72
5.2.7 ROUTE OPTIMIZATION 72
5.2.8 PREDICTIVE MAINTENANCE 72
5.2.9 DEMAND FORECASTING 73
5.2.10 AUTONOMOUS VEHICLES 73
5.2.11 SUPPLY CHAIN VISIBILITY 73
5.3 LOGISTICS AUTOMATION MARKET: EVOLUTION 74
5.4 ECOSYSTEM ANALYSIS 76
5.4.1 WAREHOUSE MANAGEMENT SYSTEM (WMS) PROVIDERS 78
5.4.2 TRANSPORT MANAGEMENT SYSTEM (TMS) PROVIDERS 79
5.4.3 AUTOMATIC IDENTIFICATION & DATA CAPTURE (AIDC) PROVIDERS 79
5.4.4 AUTOMATED STORAGE & RETRIEVAL SYSTEM (AS/RS) 79
5.4.5 TECHNOLOGY PARTNERS/INTEGRATORS 79
5.4.6 END USERS 80
5.5 SUPPLY CHAIN ANALYSIS 80
5.6 INVESTMENT LANDSCAPE AND FUNDING SCENARIO 81
5.7 CASE STUDY ANALYSIS 82
5.7.1 CASE STUDY 1: VEYER'S PARTNERSHIP WITH DEMATIC FOR ENHANCED ORDER FULFILLMENT 82
5.7.2 CASE STUDY 2: AUTOMATION AND EFFICIENCY AT COCA-COLA BOTTLERS JAPAN'S SAITAMA MEGA DC 83
5.7.3 CASE STUDY 3: GETRIEBEBAU NORD'S TRANSFORMATION WITH KNAPP'S EVO SHUTTLE SYSTEM 83
5.7.4 CASE STUDY 4: WALGREENS ENHANCED CUSTOMER EXPERIENCE WITH BLUE YONDER'S INVENTORY AND ORDER MANAGEMENT SOLUTIONS 84
5.7.5 CASE STUDY 5: HACHETTE UK'S INNOVATIVE DISTRIBUTION CENTER TRANSFORMATION 85
 
5.8 TECHNOLOGY ANALYSIS 85
5.8.1 KEY TECHNOLOGIES 86
5.8.1.1 Robotic Process Automation (RPA) 86
5.8.1.2 Artificial Intelligence (AI) & Machine Learning (ML) 86
5.8.1.3 Blockchain 87
5.8.1.4 Internet of Things (IoT) 87
5.8.1.5 Augmented Reality (AR) and Virtual Reality (VR) 88
5.8.2 COMPLEMENTARY TECHNOLOGIES 88
5.8.2.1 Big Data Analytics 88
5.8.2.2 Cloud Computing 89
5.8.2.3 Digital Twins 89
5.8.3 ADJACENT TECHNOLOGIES 90
5.8.3.1 Cybersecurity 90
5.8.3.2 Edge Computing 90
5.9 TRADE ANALYSIS 91
5.9.1 IMPORT SCENARIO 91
5.9.2 EXPORT SCENARIO 92
5.10 REGULATORY LANDSCAPE 93
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 93
5.10.2 REGULATIONS, BY REGION 97
5.10.2.1 North America: Regulations 97
5.10.2.1.1 Slave-Free Business Certification Act 97
5.10.2.1.2 Biden-Harris Plan to Revitalize American Manufacturing and Secure Critical Supply Chains 98
5.10.2.1.3 Federal Information Security Management Act (FISMA) 98
5.10.2.1.4 Federal Information Processing Standards (FIPS) 98
5.10.2.1.5 America COMPETES Act 99
5.10.2.2 Europe: Regulations 99
5.10.2.2.1 General Data Protection Regulation 99
5.10.2.2.2 European Committee for Standardization (CEN) 99
5.10.2.2.3 European Telecommunications Standards Institute (ETSI) 100
5.10.2.2.4 Directive on Corporate Sustainability Due Diligence 100
5.10.2.2.5 Directive 2014/24/EU: Public Procurement 100
5.10.2.2.6 Directive 2014/25/EU: Utilities Procurement 101
5.10.2.3 Asia Pacific 101
5.10.2.3.1 ASEAN Free Trade Agreement (AFTA) 101
5.10.2.3.2 Asia Pacific Trade Agreement (APTA) 101
5.10.2.4 Middle East & Africa 102
5.10.2.4.1 Federal Customs Authority Regulations 102
5.10.2.5 Latin America 102
5.10.2.5.1 Law on Roads, Bridges, and Federal Transport 102
5.10.2.5.2 Ley 105 de 1993 102
5.11 PATENT ANALYSIS 103
5.11.1 METHODOLOGY 103
5.11.2 PATENTS FILED, BY DOCUMENT TYPE 103
5.11.3 INNOVATION AND PATENT APPLICATIONS 103
5.12 PRICING ANALYSIS 108
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING (AUTOMATED SYSTEMS) 108
5.12.2 INDICATIVE PRICING ANALYSIS, BY END USER 109
5.13 KEY CONFERENCES AND EVENTS, 2024–2025 110
5.14 PORTER’S FIVE FORCES’ ANALYSIS 111
5.14.1 THREAT OF NEW ENTRANTS 112
5.14.2 THREAT OF SUBSTITUTES 112
5.14.3 BARGAINING POWER OF SUPPLIERS 112
5.14.4 BARGAINING POWER OF BUYERS 112
5.14.5 INTENSITY OF COMPETITIVE RIVALRY 113
5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 113
5.15.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 113
5.16 KEY STAKEHOLDERS & BUYING CRITERIA 114
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 114
5.16.2 BUYING CRITERIA 115
5.17 LOGISTICS BY GEOGRAPHIC COVERAGE 116
5.17.1 DOMESTIC LOGISTICS 116
5.17.2 INTERNATIONAL LOGISTICS 116
5.17.3 CROSS-BORDER LOGISTICS 117
6 LOGISTICS AUTOMATION MARKET, BY OFFERING 118
6.1 INTRODUCTION 119
6.1.1 OFFERING: LOGISTICS AUTOMATION MARKET DRIVERS 119
6.2 AUTOMATED SYSTEMS 121
6.2.1 MECHANISMS UTILIZE SOPHISTICATED ROBOTS AND AI TO ENHANCE PRECISION AND VELOCITY 121
6.2.2 ROBOTICS SYSTEMS 123
6.2.2.1 Automated guided vehicles (AGVs) 126
6.2.2.2 Autonomous mobile robots (AMRs) 127
6.2.2.3 Robotic picking systems 128
6.2.2.4 Palletizing & depalletizing systems 129
6.2.3 STORAGE SOLUTIONS 130
6.2.3.1 Automated storage & retrieval systems (AS/RS) 131
6.2.4 AUTOMATED IDENTIFICATION AND DATA COLLECTION (AIDC) 131
6.2.5 CONVEYORS & SORTERS 132
6.2.6 DRONES 133
 
6.3 AUTOMATION SOFTWARE 134
6.3.1 AUTOMATED SYSTEMS MAKE IT EASIER TO TRACK INVENTORY IN REAL-TIME, ENABLING BUSINESSES TO KEEP STOCK LEVELS ACCURATE AND AUTOMATE REORDERING PROCEDURES 134
6.3.2 TRANSPORT MANAGEMENT SYSTEMS 136
6.3.2.1 Real-time visibility and tracking 138
6.3.2.2 Route optimization and transportation management 138
6.3.2.3 Fleet management solutions 138
6.3.2.4 Freight audit and payment solutions 139
6.3.2.5 Load optimization 139
6.3.3 WAREHOUSE MANAGEMENT SYSTEMS (WMS) 140
6.3.3.1 Inventory management 141
6.3.3.1.1 Inventory optimization 141
6.3.3.1.2 Inventory tracking 141
6.3.3.2 Yard management 142
6.3.3.3 Shipping management 142
6.3.3.4 Labor management 143
6.3.3.5 Vendor management 143
6.3.3.6 Others 143
6.3.4 ORDER MANAGEMENT SOFTWARE 144
6.3.4.1 Chatbot and digital assistants 145
6.3.4.2 Document and records management 145
6.3.4.3 Sales accounting processing 145
6.3.4.4 Others 146
6.4 SOFTWARE BY DEPLOYMENT MODE 146
6.4.1 CLOUD 148
6.4.2 ON-PREMISES 149
7 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE 151
7.1 INTRODUCTION 152
7.1.1 LOGISTICS TYPE: LOGISTICS AUTOMATION MARKET DRIVERS 152
7.2 INBOUND LOGISTICS 154
7.2.1 INBOUND LOGISTICS MAKE SURE THAT ESSENTIAL RESOURCES ARE ACCESSIBLE WHENEVER REQUIRED, MAINTAINING EFFICIENT PRODUCTION 154
7.2.2 PROCUREMENT LOGISTICS 156
7.2.3 PRODUCTION LOGISTICS 157
7.3 OUTBOUND/SALES LOGISTICS 158
7.3.1 ENHANCING OUTBOUND LOGISTICS THROUGH AUTOMATION IN OPTIMIZING ORDER FULFILLMENT AND DELIVERY EFFICIENCY 158
7.4 REVERSE LOGISTICS 159
7.4.1 AI-POWERED TOOLS TO EVALUATE DATA FROM RETURNS MADE, ENABLING THEM TO MAKE INFORMED CHOICES 159
 
8 LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY 161
8.1 INTRODUCTION 162
8.1.1 TECHNOLOGY: LOGISTICS AUTOMATION MARKET DRIVERS 162
8.2 ROBOTICS PROCESS AUTOMATION (RPA) 164
8.2.1 RPA BOOSTS OPERATIONAL EFFICIENCY AND ACCURACY BY AUTOMATING DATA ENTRY, SHIPMENT TRACKING, AND DOCUMENT MANAGEMENT 164
8.3 ARTIFICIAL INTELLIGENCE & ANALYTICS 165
8.3.1 AI-POWERED SYSTEMS CAN STREAMLINE ROUTE ORGANIZATION BY EXAMINING TRAFFIC TRENDS, WEATHER CIRCUMSTANCES, AND DELIVERY TIMETABLES 165
8.4 INTERNET OF THINGS (IOT) PLATFORM 166
8.4.1 TRACKING SHIPMENTS IN REAL-TIME, SUPPLIERS AND DISTRIBUTORS CAN COORDINATE MORE EFFECTIVELY, RESULTING IN QUICKER REACTION TO CHANGES IN MARKET 166
8.5 BLOCKCHAIN 168
8.5.1 SMART CONTRACTS AUTOMATE DIFFERENT TASKS, LIKE PAYMENTS AND CUSTOMS CLEARANCE 168
8.6 BIG DATA 169
8.6.1 LEVERAGING BIG DATA ANALYTICS FOR ENHANCED EFFICIENCY AND DECISION-MAKING IN LOGISTICS OPERATIONS 169
9 LOGISTICS AUTOMATION MARKET, BY END USER 170
9.1 INTRODUCTION 171
9.1.1 END USER: LOGISTICS AUTOMATION MARKET DRIVERS 171
9.2 BY ENTERPRISE TYPE 172
9.2.1 RETAIL & E-COMMERCE 174
9.2.1.1 Logistics automation enables rapid, accurate order fulfillment and efficient returns management 174
9.2.2 HEALTHCARE & PHARMACEUTICALS 175
9.2.2.1 Logistics automation in healthcare & pharmaceuticals enhances operational efficiency, ensures regulatory compliance, and maintains product integrity 175
9.2.3 MANUFACTURING 177
9.2.3.1 Logistics automation supports just-in-time practices and sustainability goals through advanced robotics and IoT integration in manufacturing 177
9.2.4 AUTOMOTIVE 178
9.2.4.1 Logistics automation enhances productivity and enables real-time data-driven decision-making through autonomous robots and advanced digital tools 178
9.2.5 FOOD & BEVERAGE 179
9.2.5.1 Enhancing efficiency and ensuring compliance in food & beverage sector through advanced logistics automation technologies 179
9.2.6 METAL & MACHINERY 180
9.2.6.1 Precision and efficiency in metal & machinery sector through advanced logistics automation technologies 180
9.2.7 THIRD-PARTY LOGISTICS (3PL) 181
9.2.7.1 Enhancing operational efficiency and service delivery in third-party logistics 181
9.2.8 OTHER ENTERPRISE TYPES 183
10 LOGISTICS AUTOMATION MARKET, BY REGION 184
10.1 INTRODUCTION 185
10.2 NORTH AMERICA 187
10.2.1 NORTH AMERICA: LOGISTICS AUTOMATION MARKET DRIVERS 187
10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 187
10.2.3 US 195
10.2.3.1 Rapid growth and responsible development of logistics market in US 195
10.2.4 CANADA 197
10.2.4.1 Canada's strategic growth in logistics market: Innovations and initiatives 197
10.3 EUROPE 199
10.3.1 EUROPE: LOGISTICS AUTOMATION MARKET DRIVERS 199
10.3.2 EUROPE: MACROECONOMIC OUTLOOK 199
10.3.3 UK 206
10.3.3.1 UK government has been proactive in supporting research and development efforts aimed at advancing automation technologies 206
10.3.4 FRANCE 208
10.3.4.1 France focuses on low-emission transport solutions 208
10.3.5 GERMANY 210
10.3.5.1 German government has been actively promoting Industry 4.0 to foster innovation through digitalization in manufacturing and logistics 210
10.3.6 ITALY 212
10.3.6.1 Digital future for Italy will help government officials and businesspersons shape their policies 212
10.3.7 SPAIN 214
10.3.7.1 Spanish government has recognized transformative potential of AI and developed national strategy 214
10.3.8 REST OF EUROPE 216
10.4 ASIA PACIFIC 218
10.4.1 ASIA PACIFIC: LOGISTICS AUTOMATION MARKET DRIVERS 219
10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 219
10.4.3 CHINA 227
10.4.3.1 Integration of AI, robotics, and IoT technologies into China’s logistics networks leading to development of highly efficient and scalable supply chains 227
10.4.4 INDIA 230
10.4.4.1 Rise of online e-commerce platforms leading to adoption of automated warehousing systems to streamline supply chains and reduce operational costs 230
10.4.5 JAPAN 232
10.4.5.1 Rise of e-commerce, coupled with high consumer expectations for same-day delivery, has accelerated need for automated solutions 232
10.4.6 SOUTH KOREA 234
10.4.6.1 Ministry of Trade, Industry, and Energy (MOTIE) to push for innovation in logistics through partnerships between government, tech companies, and academia 234
10.4.7 ANZ 236
10.4.7.1 Vast geographical expanse and growth of sectors such as agriculture, manufacturing, and retail make efficient logistics operations essential in Australia & New Zealand 236
10.4.8 REST OF ASIA PACIFIC 238
10.5 MIDDLE EAST & AFRICA 241
10.5.1 MIDDLE EAST & AFRICA: LOGISTICS AUTOMATION MARKET DRIVERS 241
10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 241
10.5.3 MIDDLE EAST 249
10.5.3.1 Saudi Arabia 250
10.5.3.1.1 Rise of smart warehouses to enable real-time tracking and better inventory management in Saudi Arabia 250
10.5.3.2 UAE 252
10.5.3.2.1 Incorporation of data analytics and artificial intelligence in logistics operations to enhance decision-making capabilities and promote sustainable practices 252
10.5.3.3 Turkey 254
10.5.3.3.1 Turkey's government launches projects aimed at modernizing infrastructure, including development of logistics centers and enhancement of transportation networks 254
10.5.3.4 QATAR 256
10.5.3.4.1 Integration of blockchain technology to gain traction, enhancing transparency and security in logistics transactions 256
10.5.3.5 Rest of Middle East 258
10.5.4 AFRICA 261
10.6 LATIN AMERICA 263
10.6.1 LATIN AMERICA: LOGISTICS AUTOMATION MARKET DRIVERS 263
10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 264
10.6.3 BRAZIL 271
10.6.3.1 Increasing adoption of warehouse robotics and intelligent systems, which are essential for managing complexities of modern supply chains 271
10.6.4 MEXICO 273
10.6.4.1 Mexican government promotes digital transformation through initiatives aimed at improving infrastructure and facilitating foreign direct investment 273
 
10.6.5 ARGENTINA 275
10.6.5.1 Rise of e-commerce in Argentina has created pressing demand for automated solutions 275
10.6.6 REST OF LATIN AMERICA 277
11 COMPETITIVE LANDSCAPE 279
11.1 OVERVIEW 279
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 279
11.3 REVENUE ANALYSIS 282
11.4 MARKET SHARE ANALYSIS 282
11.4.1 MARKET RANKING ANALYSIS 283
11.5 PRODUCT COMPARATIVE ANALYSIS 285
11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY WAREHOUSE MANAGEMENT SYSTEM 285
11.5.1.1 Warehouse Management System (Blue Yonder) 286
11.5.1.2 Manhattan SCALE (Manhattan Associates) 286
11.5.1.3 K.Motion Warehouse Advantage (Korber AG) 286
11.5.1.4 Extended Warehouse Management (SAP) 286
11.5.1.5 Warehouse Management Cloud (Oracle) 286
11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY TRANSPORT MANAGEMENT SYSTEM 287
11.5.2.1 Oracle Transportation Management (Oracle) 287
11.5.2.2 Manhattan Active Transportation Management (Manhattan Associates) 287
11.5.2.3 SAP Transportation Management (TM) (SAP) 288
11.5.2.4 Logistically TMS (Logistically) 288
11.5.2.5 Blue Yonder Network Control Tower (Blue Yonder) 288
11.6 COMPANY VALUATION AND FINANCIAL METRICS 288
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 289
11.7.1 STARS 289
11.7.2 EMERGING LEADERS 289
11.7.3 PERVASIVE PLAYERS 290
11.7.4 PARTICIPANTS 290
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 291
11.7.5.1 Company Footprint 291
11.7.5.2 Region Footprint 292
11.7.5.3 Offering Footprint 293
11.7.5.4 Technology Footprint 294
11.7.5.5 End User Footprint 295
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 296
11.8.1 PROGRESSIVE COMPANIES 296
11.8.2 RESPONSIVE COMPANIES 296
11.8.3 DYNAMIC COMPANIES 296
11.8.4 STARTING BLOCKS 296
 
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 298
11.8.5.1 Detailed List of Key Startups/SMEs 298
11.8.5.2 Competitive Benchmarking of Key Startups/SMEs 299
11.9 COMPETITIVE SCENARIO AND TRENDS 299
11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS 299
11.9.2 DEALS 303
12 COMPANY PROFILES 316
12.1 INTRODUCTION 316
12.1.1 KION GROUP 316
12.1.1.1 Business overview 316
12.1.1.2 Products offered 318
12.1.1.3 Recent developments 319
12.1.1.3.1 Product Launches and Enhancements 319
12.1.1.3.2 Deals 319
12.1.1.3.3 Expansions 320
12.1.1.4 MnM view 321
12.1.1.4.1 Right to win 321
12.1.1.4.2 Strategic choices 321
12.1.1.4.3 Weaknesses and competitive threats 321
12.1.2 HONEYWELL 322
12.1.2.1 Business overview 322
12.1.2.2 Products offered 323
12.1.2.3 Recent developments 324
12.1.2.3.1 Product Launches and Enhancements 324
12.1.2.3.2 Deals 325
12.1.2.4 MnM view 326
12.1.2.4.1 Right to win 326
12.1.2.4.2 Strategic choices 326
12.1.2.4.3 Weaknesses and competitive threats 326
12.1.3 DAIFUKU 327
12.1.3.1 Business overview 327
12.1.3.2 Products offered 328
12.1.3.3 Recent developments 329
12.1.3.3.1 Product Launches 329
12.1.3.3.2 Deals 330
12.1.3.4 MnM view 331
12.1.3.4.1 Right to win 331
12.1.3.4.2 Strategic choices 331
12.1.3.4.3 Weaknesses and competitive threats 331
 
12.1.4 IBM 332
12.1.4.1 Business overview 332
12.1.4.2 Products offered 333
12.1.4.3 Recent developments 334
12.1.4.3.1 Product Enhancements 334
12.1.4.3.2 Deals 335
12.1.4.4 MnM view 336
12.1.4.4.1 Right to win 336
12.1.4.4.2 Strategic choices 336
12.1.4.4.3 Weaknesses and competitive threats 337
12.1.5 SAP 338
12.1.5.1 Business overview 338
12.1.5.2 Products offered 339
12.1.5.3 Recent developments 340
12.1.5.3.1 Product Enhancements 340
12.1.5.3.2 Deals 341
12.1.5.4 MnM view 342
12.1.5.4.1 Right to win 342
12.1.5.4.2 Strategic choices 342
12.1.5.4.3 Weaknesses and competitive threats 343
12.1.6 SAMSUNG SDS 344
12.1.6.1 Business overview 344
12.1.6.2 Products offered 345
12.1.6.3 Recent developments 346
12.1.6.3.1 Product Launches 346
12.1.6.3.2 Deals 347
12.1.7 ORACLE 348
12.1.7.1 Business overview 348
12.1.7.2 Products offered 349
12.1.7.3 Recent developments 351
12.1.7.3.1 Product Enhancements 351
12.1.7.3.2 Deals 352
12.1.8 ABB 353
12.1.8.1 Business overview 353
12.1.8.2 Products offered 354
12.1.8.3 Recent developments 355
12.1.8.3.1 Product Enhancements 355
12.1.8.3.2 Deals 356
 
12.1.9 MANHATTAN ASSOCIATES 357
12.1.9.1 Business overview 357
12.1.9.2 Products offered 358
12.1.9.3 Recent developments 359
12.1.9.3.1 Deals 359
12.1.10 KUKA AG 361
12.1.10.1 Business overview 361
12.1.10.2 Products offered 362
12.1.10.3 Recent developments 363
12.1.10.3.1 Deals 363
12.1.11 JUNGHEINRICH 365
12.1.11.1 Business overview 365
12.1.11.2 Products offered 366
12.1.11.3 Recent developments 367
12.1.11.3.1 Product Launches 367
12.1.11.3.2 Deals 368
12.1.12 TOSHIBA 369
12.1.13 TOYOTA INDUSTRIES 370
12.1.14 ZEBRA TECHNOLOGIES 371
12.1.15 KARDEX GROUP 372
12.1.16 SYMBOTIC 373
12.1.17 KNAPP 374
12.1.18 SSI SCHAEFER 375
12.1.19 BLUE YONDER 376
12.1.20 MURATA MACHINERY 377
12.1.21 TGW LOGISTICS GROUP 378
12.1.22 KÖRBER AG 379
12.1.23 BEUMER GROUP 380
12.1.24 MECALUX INTERNATIONAL 381
12.1.25 HARDIS GROUP 382
12.1.26 JR AUTOMATION 382
12.2 STARTUP/SME PROFILES 383
12.2.1 ECOVIUM 383
12.2.2 SYSTEM LOGISTICS 384
12.2.3 AUTOMATED LOGISTICS SYSTEMS 385
12.2.4 SAVOYE 386
12.2.5 LOCUS ROBOTICS 387
12.2.6 GREYORANGE 388
12.2.7 FALCON AUTOTECH 389
12.2.8 LOGISTICALLY 390
12.2.9 LOGIWA 390
12.2.10 ROSSUM 391
12.2.11 RIGHTHAND ROBOTICS 391
12.2.12 THIRD WAVE AUTOMATION 392
12.2.13 AGILITY ROBOTICS 392
12.2.14 GATHER AI 393
13 ADJACENT AND RELATED MARKETS 394
13.1 INTRODUCTION 394
13.2 SMART WAREHOUSING MARKET—GLOBAL FORECAST 2028 394
13.2.1 MARKET DEFINITION 394
13.2.2 MARKET OVERVIEW 394
13.2.2.1 Smart Warehousing Market, by Offering 396
13.2.2.2 Smart Warehousing Market, Hardware by Type 397
13.2.2.3 Smart Warehousing Market, Software by Type 398
13.2.2.4 Smart Warehousing Software Market, by Deployment Mode 399
13.2.2.5 Smart Warehousing Market, by Service 400
13.2.2.6 Smart Warehousing Market, by Technology 400
13.2.2.7 Smart Warehousing Market, by Application 401
13.2.2.8 Smart Warehousing Market, by Vertical 402
13.2.2.9 Smart Warehousing Market, by Region 403
13.3 SUPPLY CHAIN MANAGEMENT MARKET — GLOBAL FORECAST TO 2027 404
13.3.1 MARKET DEFINITION 404
13.3.2 MARKET OVERVIEW 404
13.3.2.1 Supply Chain Management Market, by Component 406
13.3.2.2 Supply Chain Management Market, by Hardware 407
13.3.2.3 Supply Chain Management Market, Software by Type 407
13.3.2.4 Supply Chain Management Market, by Service 408
13.3.2.5 Supply Chain Management Market, by Deployment Mode 409
13.3.2.6 Supply Chain Management Market, by Organization Size 410
13.3.2.7 Supply Chain Management Market, by Vertical 410
13.3.2.8 Supply Chain Management Market, by Region 411
14 APPENDIX 413
14.1 DISCUSSION GUIDE 413
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 419
14.3 CUSTOMIZATION OPTIONS 421
14.4 RELATED REPORTS 421
14.5 AUTHOR DETAILS 422