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Next-Generation Supply Chain Market (Future of Logistics) By Technology, By End-User Industry, and By Geography - Forecast to 2030

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Next-Generation Supply Chain Market (Future of Logistics) By Technology, By End-User Industry, and By Geography - Forecast to 2030
Published: October 12, 2020 Content info: 357 Pages & Market Map
Description

Next-Gen Supply Chain market to hit the mark of $125B by 2030

The lure of low-cost data storage and cloud computing has enabled organizations to capture and process large volumes of data in a short period of time in order to find valuable business insights and thus achieve end-to-end digitization of the supply chain. As a learning from COVID-19 pandemic, companies have started implementing technological changes in crucial logistics functions across various internal processes covering supply chain planning, procurement, sales & operational planning and customer services. Under "Strategy 2025" Deutsche Post DHL Group will be spending around EUR 2 billion on digitalization till 2025 and the digitalization investment is expected to lead to yearly benefits of at least EUR 1.5 billion by 2025.

Next Gen Supply Chain market is expected to reach USD 125 billion by 2030 driven by supply chain software, robotics & automation, autonomous vehicles and counterfeit goods tracing. Enablers of digital supply chain include Internet of Things (IoT), Artificial Intelligence (AI), 3D Printing, Cloud Computing, Big Data and Predictive Analytics, Robotics and Automation, Data Capture, Driverless Vehicles and Drones, Digital Twin, Blockchain, Augmented and Virtual Reality, Wearable & Mobile Devices and 5G connectivity.

Major drivers of a digital supply chain include demand for greater visibility and transparency in supply chain data process, faster adoption of internet of things (IoT), increasing investment in supply chain innovation, and huge demand from e-commerce. Companies have started to embrace the digital revolution and are beginning to see the full potential of Supply Chain 4.0 resulting in real-time product visibility, strategic sourcing and optimization, end-to-end visibility, inventory visibility and optimization, real-time manufacturing asset intelligence, micro fulfilment, efficient last mile delivery and dynamic demand & supply synchronization are some of the major benefits of a digital supply chain. The proliferation of technologies and opportunities around the digital supply chain really means companies need to look seriously at outsourcing these functions. This is going to be a major shift towards a new business models as supply chain as a service (SCaaS).

Rise of The Digital Supply Chain Market with IoT

Organizations are looking to leverage IoT in supply chain management by installing sensors and communication devices to achieve accurate asset tracking, improve inventory management, predictive maintenance, and establish demand driven supply chain network. Logistics companies have been using smart sensors to increase automated data collection and processing and GPS to improve visibility of shipments and improve fill-rate for quite some time now. If we take an example of Jabil then their Intelligent Digital Supply Chain (IDSC) solutions enable the best strategies, innovation, and design throughout the supply chain, delivering superior financial performance and customer experience which include Jabil InControl™, Procurement Solutions and Supply Chain solutions.

5G to Revolutionize NextGen Supply Chain Market

Widespread 5G rollout is expected to occur starting 2020, promising mobile networks with high data speeds, improved quality, and reduced latency. With growing number of smart devices being used in supply chain, there is a challenge to handle all on network which can be addressed by 5G to track the even smallest item, V2X communication and order fulfillment through Augmented Reality in warehouses. 5G is likely to enable massive amounts of data to be collected from remote and mobile sensors analyzed in real time to drive transportation management optimization and predictive analytics. Assuming that there will be at millions of mobile robots in more than 50K warehouses globally to pick, store, sort and transport the materials and everything will be connected through WMS/TMS. It makes really important to have a fast, stable and secure connection of 4G LTE or 5G. In June 2019, AT&T Business, Samsung Austin Semiconductor, and Samsung Electronics America unveiled the first manufacturing-focused 5G Innovation Zone in America which explores using 5G in combination with LTE and Wi-Fi to illustrate key use cases like Automated Guided Vehicles, Digital Twin etc.

Artificial Intelligence and Supply Chain 4.0 Market

AI in supply chain is being used to address key challenges such as constant change in process, shorter product lifecycle, and increased demand uncertainty by analyzing complex data and forecast future demand. AI is already being deployed in supply chain planning and optimization, including demand forecasting, inventory management, warehouse management, and fleet management. If supply chain has to be dynamic, responsive and interconnected to the ecosystem and processes the solutions like IBM® Sterling Supply Chain Suite gives you the end-to-end visibility, real-time insights and recommended actions to turn disruptions into opportunities for customer engagement, growth and profit.

The Age of Robotic (AGV, AMR, ASRS, Picking Robots) in Logistics 4.0 Market

The rise in e-commerce has led robots to enter warehouses, sorting centers, and are evening being deployed for micro-fulfillment and last-mile delivery. Autonomous mobile robots (AMRs) are now being used in entire logistics chain, from order intake to customer delivery resulting in faster order fulfillment, greater order accuracy, reduced damages and improved labor productivity. Robots are also being used by large retailers such as Amazon, JD and Walmart to pack and sort items for Warehouse Automation. Automated guided vehicles (AGV) are now being deployed in warehouses as autonomous forklifts, carts and pallet movers. Recent developments like Shopify acquiring 6 River Systems for $450m and Teradyne acquiring AutoGuide Mobile Robots & Mobile Industrial Robots (MiR) for $165m & $272M respectively are the outcomes behind this disruptive technology in the warehouses and logistics. Apart this, there have been some major M&A like KUKA (Midea Group) acquiring Swisslog, KION acquiring Dematic and Egemin, Toyota acquiring Vanderlande & Bastian Solutions, Hitachi acquiring JR Automation, Korber acquiring Cohesio Group and Murata Machinery acquiring AGVE AB as well.

Deploying Last-Mile Delivery Market (LMD) with Delivery Robots and Drones

Last-mile service has been identified as key differentiator amongst competitors, from renowned retailers to local businesses. Drones and unmanned ground vehicles (UGV) are showing up in last mile delivery. Amazon has been testing its Scout delivery robots to deliver packages and has planned to expand it on larger scale. FedEx collaborated with Pizza Hut to test FedEx's SameDay Bot for pizza delivery. We can also see some similar trends related to delivery robots which are working towards last mile delivery issue and its solution. Driverless delivery start-up Nuro just got a $940 million in financing from Japan's SoftBank Vision Fund and has partnered with Kroger to deliver the groceries and with Domino's to deliver the pizzas. KiwiBot is providing similar services for the university campus. The University of California at Berkeley and the University of California, Los Angeles were two of the earliest colleges to welcome the food delivery robots, KiwiBot.

Drones as an enabler for Future of Logistics

Companies such as DHL and Amazon are testing drones for last mile delivery. DHL has already tested Parcelcopter, a Microdrones md4-1000 UAV to deliver a package. Boeing has come up with unmanned electric vertical-takeoff-and-landing cargo air vehicle (CAV) that could deliver up to 227 kg of cargo within a fifteen- to thirty-kilometer radius. In June 2019, Amazon has unveiled the latest version of its Prime Air delivery drone to deliver packages up to five pounds in 30 minutes. Drones are expected to have a major impact on supply chain not just for deliveries but warehouses too. In future drones could be the best way to track inventory anonymously and can even be used to move items quickly. Walmart has already tested warehouse drones to catalog and manage inventory. PINC started developing PINC Air indoor inventory technology in 2014 based on its outdoor technology used for tracking inventory in equipment and storage yards. Apart this, the DroneScan system provides two revolutionary solutions to scanning products and pallets in warehouses. Either the Hadeda system consisting of a Drone and Dronescan payload which reaches the high shelves and methodically moves down the aisles scanning pallet barcodes

The Micro-Fulfillment Market Shift

Micro-fulfillment brings a distribution center closer to the end-customer which allows businesses to operate via an online delivery model and reduce costs of last-mile delivery for retailers. Micro-fulfillment centers are small warehouses that utilize high-end automated systems, AI and analytics to deliver goods rapidly. Companies such as Takeoff Technologies and Fabric (Commonsense Robotics) are focused on automated micro-fulfillment centers by bringing automated storage system, floor-based free roaming robots, bin racking structure, and a lift/load handling device within the racking structure. Recently, Takeoff Technologies announced that it has placed a $150 million order with Knapp, would allow for a 50-site deployment of its robotic micro-pick centers. Even Dematic who is pioneer for warehouse automation solutions, is extending its solutions for Micro-Fulfillment with Dematic Multishuttle and Goods-to-Person picking solutions.

Blockchain for Digital Supply Chain Market

Blockchain in supply chain establishes provenance of products, authenticity and enhances traceability of the products by transferring information with multiple partners during manufacturing, assembly, and transportation in a trusted and automated way. Maersk and IBM are working on cross-border, cross-party transactions that use blockchain technology to help improve process efficiency. Maersk and IBM jointly developed TradeLens, a blockchain-enabled shipping solution smart contracts in order to enable digital collaboration across the multiple parties involved in international trade. Walmart started using Hyperledger Fabric blockchain-based food traceability system for authenticity and provenance.

Impact of 3D Printing on Digital Supply Chain 4.0 Market

With 3D printing technology being made more accessible, companies are starting to use 3D for on-demand manufacturing and streamline their supply chain. 3D printing allows local facilities to 3D print designs on-demand leading to significant transportation and logistics cost reduction. DHL has tested this future concept by 3D printing replicas of spare parts that the organization currently stores for automotive and technology customers. Similarly, Mercedes-Benz Trucks announced it will now allow customers to 3D print more than 30 different spare parts for cargo trucks in an effort to resolve backlogs in spare parts delivery.

Digital Twins to Optimize NextGen Supply Chain Market

Digital twin is another breakthrough technology that creates virtual models of product design, production, and IoT and allows companies to realize new design to have a proper supply china network. Digital twins provide greater insight into and visibility from a material surface to a critical infrastructure resulting in proactive decisions being made deployed in the field. Current use cases in logistics includes digital twins of packaging & container, shipment, warehouses and distribution centers, logistics infrastructure, and logistics networks. Recently, AspenTech and Hexagon PPM have partnered to enable Digital Twin Workflow Solution for EPC Firms. The partnership aims to help manufacturers in process industries better manage the financial risks of big, complex projects as EPC workflows have historically been document driven processes as they progress through the lifecycle, from conception to construction, and this can lead to inefficiencies, delays, lost documents, and miscommunication-especially when multiple external contractors or firms are involved.

Influx of Start-Ups in Supply Chain Management and Logistics 4.0 Market

Future supply chain needs to be both intelligent and customer-centric, combined with continuous improvement and an emphasis on innovation in order to deliver value to customers consistently. This has led to growing need for technology driven solutions in order to transform the logistics and supply chain market. Start-ups are taking advantage technologies that were earlier limited to large companies only to come up with innovative digital supply chain solutions in order to streamline business processes by targeting areas of need.

Key Players considered in this study

IBM, Oracle, Manhattan Associates, JDA Software, SAP, Infor, Epicor Software, Descartes Systems Group, WiseTech Global, Kinaxis, E2Open, Logility, Coupa, Basware, Jaggaer, GEP, BravoSolution, Zycus, PTC, High Jump, IFS, Cisco, Microsoft, Intel, Om Partners, H. Robinson, Dematic (KION), Swisslog (KUKA), SSI SCHAEFER, Daifuku, Murata Machinery,TGW Logistics Group, Yale Materials Handling Corporation, Zebra Technologies, Honeywell AIDC, Honeywell Intelligrated, Data Logic, DMLogic, Nulogy, SICK AG, ABB, Jabil, Siemens, Logistyx Technologies, Advantech iLogistics, PINC, UPS, Righthand Robotics, BluJay Solutions, Locus Systems, Brightpearl, Veridian, Avetta, AIMMS, One Network Enterprises, LEGACY Supply Chain Services, Apex Supply Chain Technologies, Kuebix, SEKO Logistics, Landstar, CSX, Arviem, Tapestry Solutions, FedEx Supply Chain, DHL Supply Chain, XPO Logistics, Ryder Supply Chain Solutions, NFI Logistics, XPO Logistics, GEODIS North America (OHL), Lineage Logistics, Kenco Logistic Services LLC (KLS), DSC Logistics, Cainiao Network (Alibaba), Amazon

Key Questions to be answered through this report:

  • What are the major trends and drivers impacting the Next Gen Supply Chain Market in post-pandemic scenario?
  • What is the revenue outlook (TAM) and forecast till 2030 for Next Gen Supply Chain Market by key technologies and regions?
  • What are the key investments and M&A in Next Gen Supply Chain space?
  • Who are the major participants across Supply Chain & Logistics Ecosystem by key categories?
  • What are the strategic imperative and calls to action that will define growth and success within Digital Supply Chain for next 10 years?
Table of Contents

Table of Contents

1. Introduction

  • 1.1. Next-Gen Supply Chain
  • 1.2. Impact of Supply Chain Innovation
    • 1.2.1. Upstream
    • 1.2.2. Within the factory
    • 1.2.3. Downstream
    • 1.2.4. Across the end-to-end supply chain
    • 1.2.5. What does this all mean?
  • 1.3. Technological Stages

2. Drivers & Challenges

  • 2.1. Drivers
    • 2.1.1. Huge Demand from E-commerce
    • 2.1.2. Labour Cost and Safety Concerns
    • 2.1.3. Introduction of Artificial Intelligence & Blockchain in Supply Chain
      • 2.1.3.1. Defining Core Supply Chain Functions and Blockchain
        • 2.1.3.1.1. What Is the Supply Chain, and What Are Its Limitations?
        • 2.1.3.1.2. What Is Blockchain and What Are Its Limitations?
        • 2.1.3.1.3. How Blockchain Will Empower Supply Chain Management
        • 2.1.3.1.4. Use Cases of Blockchain in the Supply Chain
          • 2.1.3.1.4.1. Shipping and Logistics
          • 2.1.3.1.4.2. Manufacturing
          • 2.1.3.1.4.3. Aviation
          • 2.1.3.1.4.4. Retail, Pharmaceuticals and Consumer Goods
    • 2.1.4. Fast adoption of IoT, Data Analytics and Cloud Computing
    • 2.1.5. Convergence of Augmented Reality and 5G connectivity with existing technologies
      • 2.1.5.1. Augmented Reality (AR)
      • 2.1.5.2. 5G Technology
    • 2.1.6. Increasing investment in Supply Chain Innovation
    • 2.1.7. Real Time End-to-End Visibility and More Transparency
      • 2.1.7.1. Key Benefits of Real-Time Supply Chain Visibility
    • 2.1.8. Consumer Demand changing Supply Chain Management Process
  • 2.2. Challenges
    • 2.2.1. Shortage of Skilled Workforce
    • 2.2.2. Set-up of High Expectation at customer end
    • 2.2.3. Government Policy and Regulations
      • 2.2.3.1. US-China Trade War
      • 2.2.3.2. Regulation on Delivery Robots and Drones
    • 2.2.4. Cyber Risk
      • 2.2.4.1. Cyber Security for an organization in Supply Chain
      • 2.2.4.2. Compliance Requirements for Cyber Security in Supply Chain
      • 2.2.4.3. Recommendation
    • 2.2.5. Demand for more customized or personalized products and services
      • 2.2.5.1. Importance of Personalization
      • 2.2.5.2. Impact on Supply Chain
      • 2.2.5.3. More complex environment to automate the process
      • 2.2.5.4. Combination of Software and Hardware
    • 2.2.6. Omni channel logistics & fulfilment
      • 2.2.6.1. Omnichannel Experience and Expectation
      • 2.2.6.2. Warehouse Transformation for Omnichannel Fulfillment

3. Next-Gen Supply Chain Market Share by Technology (USD Million)

  • 3.1. Cloud Computing and Storage
    • 3.1.1. Advancement in Analytics Capabilities
      • 3.1.1.1. Integration of Multiple Platforms
      • 3.1.1.2. Removal of Geographic and Political Boundaries
      • 3.1.1.3. Enhanced Security Measures
      • 3.1.1.4. Increased IT Capabilities
      • 3.1.1.5. Adjusting to Market Volatility
      • 3.1.1.6. Increased Scalability Abilities
      • 3.1.1.7. Reduced Costs
      • 3.1.1.8. Data Analysis Grew Exponentially, Providing More End-to-End Visibility and Continuous Improvement.
  • 3.2. Robotics and Automation
    • 3.2.1. Future of Automation: Autonomous Mobile Robots (AMRs)
    • 3.2.2. Micro-Fulfilment: New Concept for Urban Warehouses
  • 3.3. Predictive Analytics
  • 3.4. Wearable and Mobile Technology
    • 3.4.1. What's Happening with Wearable Technology in the Supply Chain?
    • 3.4.2. How Do Wearables Improve the Supply Chain?
      • 3.4.2.1. Speed and Accuracy
      • 3.4.2.2. Identification of Inefficiencies
      • 3.4.2.3. Improved Safety and Quality
      • 3.4.2.4. Final Thoughts on Wearable Technology in the Supply Chain
      • 3.4.2.5. Bluetooth based wearables are increasingly in use
      • 3.4.2.6. Customers require more and more Omnichannel Logistics Solutions
  • 3.5. 3D Printing
    • 3.5.1. Introduction
    • 3.5.2. The economics of 3D printing
  • 3.6. Driverless Vehicles and Drones
    • 3.6.1. Autonomous Freight Network (AFN)
    • 3.6.2. Drones Adoption in Supply Chain & Logistics
  • 3.7. Digital Twin
    • 3.7.1. Complexity and Challenges:
    • 3.7.2. Warehouse and Logistics Infrastructure
  • 3.8. Cyber Security
    • 3.8.1. Cyber Security Frameworks
    • 3.8.2. Supply Chain Cyber Security Solution
  • 3.9. Internet of things (IoT)
    • 3.9.1. How IoT can reshape the entire supply chain potential
      • 3.9.1.1. Warehouse monitoring
      • 3.9.1.2. Anticipate when the parcel will arrive to warehouse or certain location
      • 3.9.1.3. Location-tracking in real time
      • 3.9.1.4. Upgrade contingency planning
    • 3.9.2. Challenges for IoT adoption in Supply Chain
      • 3.9.2.1. Lack of Capable Team
      • 3.9.2.2. Security Threats
      • 3.9.2.3. Issues with Data Storage
      • 3.9.2.4. Connectivity Problems
    • 3.9.3. IoT Applications in Supply Chain & Logistics
  • 3.10. Blockchain
    • 3.10.1. COVID-19: Opportunity for Blockchain Integration
    • 3.10.2. Trust and transparency in supply chain
  • 3.11. Augmented and Virtual Reality (AR/VR)
    • 3.11.1. Usage and Application in Supply Chain & Logistics
      • 3.11.1.1. Warehousing Operations
      • 3.11.1.2. Transportation Optimization
      • 3.11.1.3. Navigation
      • 3.11.1.4. Assembly and Repair
    • 3.11.2. Integration with advanced technologies (HoloLens as an example)
      • 3.11.2.1. Supply Chain Software
      • 3.11.2.2. Picking
      • 3.11.2.3. Collaborative Robotics
  • 3.12. Artificial Intelligence (Natural Language Processing, Machine Learning, Deep Learning)
    • 3.12.1. How can AI be applied in supply chain?
      • 3.12.1.1. More supply chain transparency is needed
    • 3.12.2. Focus and supply chain management disciplines evolves over time
    • 3.12.3. Physical and information flows are enabled by AI
    • 3.12.4. Adopting AI is challenging
    • 3.12.5. Security Risks and Other Caveats
  • 3.13. 5G Connectivity
    • 3.13.1. Logistics
    • 3.13.2. Detailed product monitoring
    • 3.13.3. Inventory management
    • 3.13.4. Warehouse management
    • 3.13.5. Automatization and IoT
    • 3.13.6. Real-time data sharing

4. Next-Gen Supply Chain Market Share by Function (USD Million)

  • 4.1. Design for Supply Chain
    • 4.1.1. Common Strategies of Design for Supply Chain
    • 4.1.2. Supply Chain Maturity Curve
  • 4.2. Planning and Inventory Management
    • 4.2.1. Right Inventory Technology
    • 4.2.2. Risk Analysis - Prevention & Mitigation
      • 4.2.2.1. Risk Evaluation
      • 4.2.2.2. AGCO: COVID-19 Risk Analysis
  • 4.3. Supplier Partnership (Vendors' Performance & Procurement Spend Analytics)
  • 4.4. Operational Efficiency (Demand Analysis & Forecasting)
    • 4.4.1. Forecasting Methods that Improve Supply Chain Performance
    • 4.4.2. Major Forecasting Demand Planning Software:
  • 4.5. Logistics Management
    • 4.5.1. New entrants to the industry
      • 4.5.1.1. Start-ups drive new business models
      • 4.5.1.2. New players are increasingly entering the market
  • 4.6. S&OP - Technology Enablement

5. Next-Gen Supply Chain Market Share by Services

  • 5.1. Managed Services
  • 5.2. Professional Services
    • 5.2.1. Major Services
    • 5.2.2. Key Responsibilities

6. Next-Gen Supply Chain Market in End-User Industry

  • 6.1. Automotive
    • 6.1.1. Challenges faced by Automotive Supply Chain
      • 6.1.1.1. Poor Visibility and Routing of Parts Results in Delays to Automobile Manufacturing
      • 6.1.1.2. Impact of External Factors Significantly Disrupts the Automotive Supply Chain
      • 6.1.1.3. Lack of Visibility and High Fixed and Variable Costs Impacts Profitability for Automotive Manufacturers
      • 6.1.1.4. Poor Quality Manufacturing Leads to Failure and Product Recalls
    • 6.1.2. Solutions recommended for current challenges
      • 6.1.2.1. Optimize Automotive Parts Visibility, Inventory Management and Routing Through the Supply Chain
      • 6.1.2.2. Introduce Effective Risk Management for the Most Likely and Impactful Potential Issues
      • 6.1.2.3. Insist on Deep Visibility and Accurate Cost Controls Throughout the Automotive Supply Chain
      • 6.1.2.4. Introduce Stringent Quality Reporting and Visibility for Automobile Suppliers and Manufacturers
    • 6.1.3. Other risks in Automotive Supply Chain
  • 6.2. Manufacturing
    • 6.2.1. Digital Manufacturing as New Enabler
    • 6.2.2. Integrated Supply Chain Software: IBM Sterling Supply Chain Suite
  • 6.3. Retail & E-commerce
    • 6.3.1. Ecommerce and Retail Market Trends
    • 6.3.2. Automation and Technologies adopted
  • 6.4. Healthcare & Pharmaceuticals
    • 6.4.1. Efficiency and Effectiveness for Digital Supply Chain
    • 6.4.2. Disruption through emerging technologies
  • 6.5. Consumer-Packaged Goods
    • 6.5.1. End-to-End visibility with huge data to analyse
    • 6.5.2. Optimization across the value chain at the same time (Concurrent Process)
    • 6.5.3. Autonomous Logistics and Supply Chain
  • 6.6. Food & Beverages
    • 6.6.1. Drivers & Challenges
    • 6.6.2. F&B Industry Trends
    • 6.6.3. Blockchain and AI in Food Supply Chain
  • 6.7. 3PL
    • 6.7.1. Growth and Trends in 3PL Sector
    • 6.7.2. Emerging technologies in 3PL
  • 6.8. Others
    • 6.8.1. O&G sector
    • 6.8.2. Energy & Power
    • 6.8.3. Aviation
    • 6.8.4. Agriculture

7. Next-Gen Supply Chain Market Share by Region (USD Million)

  • 7.1. North America
    • 7.1.1. U.S.
    • 7.1.2. Canada
  • 7.2. Europe
    • 7.2.1. United Kingdom
    • 7.2.2. Germany
    • 7.2.3. France
    • 7.2.4. Italy
    • 7.2.5. Spain
    • 7.2.6. Russia
    • 7.2.7. Netherlands
    • 7.2.8. Sweden
    • 7.2.9. Denmark
    • 7.2.10. Finland
    • 7.2.11. Norway
  • 7.3. Asia Pacific
    • 7.3.1. China
    • 7.3.2. Japan
    • 7.3.3. South Korea
    • 7.3.4. Australia
    • 7.3.5. India
    • 7.3.6. Indonesia
    • 7.3.7. Thailand
    • 7.3.8. Malaysia
    • 7.3.9. Singapore
    • 7.3.10. Vietnam
    • 7.3.11. Philippines
  • 7.4. Middle East & Africa
    • 7.4.1. United Arab Emirates
    • 7.4.2. Saudi Arabia
    • 7.4.3. Kuwait
    • 7.4.4. Turkey
    • 7.4.5. Israel
    • 7.4.6. South Africa
  • 7.5. Latin America
    • 7.5.1. Mexico
    • 7.5.2. Brazil
    • 7.5.3. Chile
    • 7.5.4. Peru

8. Competitive landscape

  • 8.1. Key Players
    • 8.1.1. Warehouse Management System (WMS)
    • 8.1.2. Transportation Management System (TMS)
    • 8.1.3. Material Handling System
    • 8.1.4. Automated Guided Vehicles (AGV) & Automated Mobile Robots (AMR)
    • 8.1.5. Automatic Identification & Data Capture (AIDC)
    • 8.1.6. Last Mile Delivery
    • 8.1.7. Piece Picking Robots
    • 8.1.8. Autonomy Service Providers (ASP)
    • 8.1.9. Warehouse Drones
    • 8.1.10. Artificial Intelligence (AI)
    • 8.1.11. IoT Analytics
    • 8.1.12. Blockchain
    • 8.1.13. 5G Technology
    • 8.1.14. Self-Driving Vehicles (Autonomous Vehicles)
    • 8.1.15. Micro-Fulfillment
    • 8.1.16. Third-Party Logistics (3PL)

9. Company Profiles

  • 9.1. Warehouse Equipment and Solution Providers
    • 9.1.1. Dematic (KION)
    • 9.1.2. SSI-Schaefer
    • 9.1.3. Vanderlande (TICO)
    • 9.1.4. Swisslog (KUKA)
    • 9.1.5. Knapp
    • 9.1.6. Daifuku
    • 9.1.7. Murata Machinery Ltd.
    • 9.1.8. Knapp
    • 9.1.9. Elettric 80
    • 9.1.10. Beumer Group
    • 9.1.11. Witron Logistik + Informatik
    • 9.1.12. TGW Logistics
    • 9.1.13. Grenzebach Maschinenbau GmbH
    • 9.1.14. FIVES Group
    • 9.1.15. Honeywell Intelligrated
    • 9.1.16. Bastian Solutions (TICO)
    • 9.1.17. Material Handling System (MHS)
    • 9.1.18. Jungheinrich AG
    • 9.1.19. LODIGE Industries
    • 9.1.20. ViaStore Systems
    • 9.1.21. Interlake Macalux
    • 9.1.22. Kardex
    • 9.1.23. AutoStore
    • 9.1.24. DMW&H
    • 9.1.25. Westfalia
    • 9.1.26. GUOZI
    • 9.1.27. SIASUN
    • 9.1.28. JATEN
  • 9.2. AGV & AMR providers
    • 9.2.1. Geek+
    • 9.2.2. Quicktron (Flashhold)
    • 9.2.3. ForwardX Robotics
    • 9.2.4. GreyOrange
    • 9.2.5. HikRobot
    • 9.2.6. Mobile Industrial Robots (MiR)
    • 9.2.7. InVia Robotics
    • 9.2.8. 6 River Systems (Shopify)
    • 9.2.9. Fetch Robotics
    • 9.2.10. IAM Robotics
    • 9.2.11. Locus Robotics
    • 9.2.12. Vecna Robotics
    • 9.2.13. Waypoint Robotics
    • 9.2.14. Tompkins Robotics
    • 9.2.15. Scallog
    • 9.2.16. OTTO Motors (Clearpath Robotics)
    • 9.2.17. GIDEON Brothers
    • 9.2.18. Magazino
    • 9.2.19. NextShift Robotics
    • 9.2.20. AutoGuide Mobile Robots (Teradyne)
    • 9.2.21. EiraTech Robotics
    • 9.2.22. Aethon (ST Engineering)
    • 9.2.23. BLEUM
    • 9.2.24. HAI Robotics
    • 9.2.25. Bionic HIVE
    • 9.2.26. Oppent
    • 9.2.27. PAL Robotics
    • 9.2.28. Matthews Automation Solutions
    • 9.2.29. CAJA Robotics
    • 9.2.30. Omron (Adept Technology)
    • 9.2.31. Guidance Automation (Matthews International)
    • 9.2.32. Syrius
    • 9.2.33. SMP Robotics
    • 9.2.34. MALU Innovation
    • 9.2.35. EuroTec (Lowpad)
    • 9.2.36. DS Automation
    • 9.2.37. ROCLA
    • 9.2.38. NeoBotix
    • 9.2.39. John Bean Technologies (JBT Corporation)
    • 9.2.40. Transbotics (Scott Group)
    • 9.2.41. CSG Huaxiao
    • 9.2.42. EK Automation
    • 9.2.43. OCEANEERING
    • 9.2.44. Wellwit Robotics
    • 9.2.45. Logistic-Jet
    • 9.3. Piece Picking Robots
    • 9.3.1. Berkshire Grey
    • 9.3.2. Righthand Robotics
    • 9.3.3. KINDRED
    • 9.3.4. OSARO
    • 9.3.5. Plus One Robotics
  • 9.4. Warehouse Management System Providers
    • 9.4.1. JDA
    • 9.4.2. Infor
    • 9.4.3. Oracle
    • 9.4.4. SAP
    • 9.4.5. Manhattan Associates
    • 9.4.6. HighJump
  • 9.5. Automatic Identification and Capture
    • 9.5.1. Zebra Technologies
    • 9.5.2. Honeywell
    • 9.5.3. Data Logic
    • 9.5.4. SATO
    • 9.5.5. SICK
  • 9.6. Autonomy Service Providers (ASP)
    • 9.6.1. SEEGRID
    • 9.6.2. BALYO
    • 9.6.3. Brain Corporation
    • 9.6.4. Bluebotics
    • 9.6.5. KOLLMORGEN
    • 9.6.6. Autonomous Solutions, Inc. (ASI)
    • 9.6.7. MOVEL AI
    • 9.6.8. MOV AI
    • 9.6.9. FREEDOM ROBOTICS
    • 9.6.10. ROBOMINDS
    • 9.6.11. PERCEPTIN
  • 9.7. Warehouse Drones
    • 9.7.1. UVL ROBOTICS
    • 9.7.2. Eyesee (HARDIS Group)
    • 9.7.3. AIRMAP
  • 9.8. Delivery Robots
    • 9.8.1. Starship
    • 9.8.2. NURO AI
    • 9.8.3. Tele Retail
    • 9.8.4. Kiwibot
    • 9.8.5. Robby Technologies

10. Appendix

  • 10.1. Global Heavy-Truck Shipments
  • 10.2. Global Autonomous Truck Shipments
  • 10.3. Global Losses due to Counterfeit Products
  • 10.4. Global cost savings from adoption of next-generation technologies
  • 10.5. Logistics contribution to GDP
  • 10.6. Road Transport contribution to GDP
  • 10.7. Warehousing as % of GDP

LIST OF EXHIBITS:

  • EXHIBIT 1: eCommerce is continuting to grow at rapid pace and disrupting traditional retail
  • EXHIBIT 2: Picking and Packing rates are the difference between less and more efficient companies
  • EXHIBIT 3:Estimated Hourly Labour Costs, In Euros - 2019 (Europe)
  • EXHIBIT 4:Use-cases of blockchain in supply chain
  • EXHIBIT 5:Blockchain + IoT addresses critical pain points
  • EXHIBIT 6:Benefit of Blockchain can be realized through optimizing several functions
  • EXHIBIT 7:Blockchain in Track and Trace solutions in Pharma
  • EXHIBIT 8:Augmented Reality & ROI Importance
  • EXHIBIT 9: Supply Chain & Logistics Technological Investment
  • EXHIBIT 10: Real Time Supply Chain Management
  • EXHIBIT 11: Annual Change in Online Spend: Thanksgiving and Black Friday (YoY Change: 2019 vs 2018)
  • EXHIBIT 12: Online Sales on Biggest Shopping Days (2017, 2018 & 2019)
  • EXHIBIT 13: Salary by Years of Experience in Logistics and Supply Chain
  • EXHIBIT 14: Salary by Job Function in Logistics
  • EXHIBIT 15: How Shoppers want to return online purchases
  • EXHIBIT 16: Performance of E-commerce Marketing Initatives
  • EXHIBIT 17: Top Events to Impact Supply Chain (2013-18); Similar to what COVID-19 is in 2020
  • EXHIBIT 18: Importance Of Online Shopping Personalization By Channel
  • EXHIBIT 19: Traditional commerce vs Omnichannel commerce
  • EXHIBIT 20: Challenges in Omnichannel Logistics
  • EXHIBIT 21:Cloud computing will be driven by adoption of more decentralised computing and storage required by increasingly decentralised requirements of next-generation of supply chains
  • EXHIBIT 22:Mobile Robots (AGV and AMRs) will be the biggest driver of automation in the forecast period (USD Million)
  • EXHIBIT 23:We expect almost a quarter of the robots to be AI-powered
  • EXHIBIT 24:Wearable solutions have the potential to be a $4B market by 2030, and improve the efficiency of overall supply chain (Values in USD million)
  • EXHIBIT 25: Truck Driver Shortage (2011-2028)
  • EXHIBIT 26:Autonomous Truck shipments globally will reach 1 million units per year by 2030 (Shipments in thousand units)
  • EXHIBIT 27:Resulting in total economic benefits in excess of USD 40billion per year by 2030
  • EXHIBIT 28:Driven by different enabling technologies such as AI, IoT and 5G (Values in USD billion)
  • EXHIBIT 29: Digital Supply Chain Twin Model
  • EXHIBIT 30: Major Cyber Attack in 2019
  • EXHIBIT 31: Cellular IoT Connection
  • EXHIBIT 32:IoT Market in Supply Chain is set to reach c$18B by 2030
  • EXHIBIT 33: Blockchain will create $176B in Business Value by 2025 and $3.1T by 2030
  • EXHIBIT 34:Cost of counterfeit products and thefts be in excess of $400B by 2030 globally
  • EXHIBIT 35:Adoption of blockchain can lead to reduction in c5% of global counterfeit product reduction by 2030, resulting in savings of $26B
  • EXHIBIT 36: Challenges to integrate AR/VR in Supply Chain & Logistics
  • EXHIBIT 37:AR/VR will be an important enabling technology in the warehouse, but adoption to remain slow due to cost competitiveness of traditional AIDC technologies and lower dependence on human workers in the future
  • EXHIBIT 38: Key elements of AI
  • EXHIBIT 39: The evolution of supply chain management disciplines (adopted from Hokey, 2015)
  • EXHIBIT 40: End-to-end supply chain management activities with the potential AI Tools
  • EXHIBIT 41: Advantages of AI in supply chain management
  • EXHIBIT 43:AI's biggest use case is Autonomous Driving and Autonomous Mobile Robots, both of which need AI to function
  • EXHIBIT 44: Global mobile data traffic (EB per month)
  • EXHIBIT 45:We estimate that 5G technology will be an important enabler of next generation supply chain, contributing more than $5B in value to the market by 2030
  • EXHIBIT 46: Collaboration & Partnership in Supply Chain Design
  • EXHIBIT 47:Supply Chain Maturity Curve
  • EXHIBIT 48:Applications are enabled by Supply Chain Software, the market for which is expected to reach $33B by 2025
  • EXHIBIT 49:Evaluate Value Chain Nodes to idnetify key risks
  • EXHIBIT 50:Artificial Intelligence for Demand Forecasting - Lennox Case Study
  • EXHIBIT 51:Technologies Impacting Logistics Management
  • EXHIBIT 52:Supply Chain and Complexity
  • EXHIBIT 53: OEM Supplier Characterisitics
  • EXHIBIT 54:Automation Impact by core merchandising activity
  • EXHIBIT 56:Impact of IoT on CPG Value Chain
  • EXHIBIT 57:Traceability through Blockchain
  • EXHIBIT 58:Global Logistics Costs & 3PL Revenues (USD Billion) - 2010 to 2022E
  • EXHIBIT 59:United States Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 60: Canada Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 61: United Kingdom Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 62: Germany Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 63: France Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 64: Italy Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 65: Spain Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 66: Russia Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 67: Netherlands Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 68: Sweden Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 69: Denmark Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 70: Finland Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 71: Norway Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 72: China Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 73: Japan Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 74: South Korea Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 75: Australia Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 76: India Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 77: Indonesia Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 78: Thailand Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 79: Malaysia Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 80: Singapore Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 81: Vietnam Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 82: Philippines Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 83: UAE Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 84: Saudi Arabia Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 85: Kuwait Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 86: Turkey Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 87: Israel Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 88: South Africa Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 89: Mexico Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 90: Brazil Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 91: Chile Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 92: Peru Logistics, Warehousing and Autonomous Trucks TAM (USD Billion)
  • EXHIBIT 93:Warehouse Management System Key Players
  • EXHIBIT 94:Transportation Management System Key Players
  • EXHIBIT 95:Material Handling System Key Players
  • EXHIBIT 96:AGV/AMR Key Players
  • EXHIBIT 97: Automatic Identification & Data Capture Key Players
  • EXHIBIT 98:Last Mile Delivery Key Players
  • EXHIBIT 99: Piece Picking Robots Key Players
  • EXHIBIT 100:Autonomy Service Provider Key Players
  • EXHIBIT 101:Warehouse Drones Key Players
  • EXHIBIT 102:Artificial Intelligence Key Players
  • EXHIBIT 103:IoT Analytics Key Players
  • EXHIBIT 104:Blockchain Key Players
  • EXHIBIT 105:5G Technology Key Players
  • EXHIBIT 106:Self-Driving Vehicles / Autonomous Vehicles Key Players
  • EXHIBIT 107:Micro-Fulfillment Key Players
  • EXHIBIT 108: Third Party Logistics (3PL) Key Players
  • EXHIBIT 109:Global Truck Shipments Forecast: 2021 to 2030
  • EXHIBIT 110: Global Autonomous Truck Shipments Forecast: 2021 to 2030
  • EXHIBIT 111:Losses due to counterfeit products and other thefts : 2021 to 2030
  • EXHIBIT 112: Savings resulting from adoption of Blockchain and other technologies: 2021 to 2030
  • EXHIBIT 113:Logistics contribution to GDP : 2011 to 2020
  • EXHIBIT 114:Logistics contribution to GDP : 2021 to 2030
  • EXHIBIT 115: Road Transport contribution to GDP : 2011 to 2020
  • EXHIBIT 116: Road Transport contribution to GDP : 2021 to 2030
  • EXHIBIT 117:Warehousing contribution to GDP : 2011 to 2020
  • EXHIBIT 118: Warehousing contribution to GDP : 2021 to 2030
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