Smart Warehousing Market
Smart Warehousing Market Forecasts to 2030 - Global Analysis By Component (Hardware, Services Solutions, and Other Components), Deployment Mode (On-premises, and Cloud), Deployment Type, Organization Size, Technology, Application, Vertical and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $20.8 BN |
|
Projected Year Value (2030) |
US $44.8 BN |
|
CAGR (2023 - 2030) |
11.5% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Asia Pacific |
According to Stratistics MRC, the Global Smart Warehousing Market is accounted for $20.8 billion in 2023 and is expected to reach $44.8 billion by 2030 growing at a CAGR of 11.5% during the forecast period. A large complex, used for storing produced items and raw materials, is called a smart warehouse. It performs regular warehouse tasks, that humans formerly carried out using machines and computers. These tasks include recognising and accepting orders, counting things, storing them, later remembering their locations, and sending orders to the appropriate location. The most effective smart warehouses automate practically the whole process and travel of goods from supplier to customer with little errors.
According to Knight Frank's 2020 estimate, the United Kingdom alone would need 92 million square feet of warehouse space by 2024. This means that, in the future, it will be critical to make cost-effective use of the currently restricted places. As a result, warehouse automation was born.
Market Dynamics:
Driver:
Increasing demand for smart phones as a medium of managing operations quickly & efficiently
The Bottom Line can be enhanced by utilising mobile-based applications and technologies to streamline the entire Warehousing process. Due to the extensive usage of mobile devices like smart phones and tablets, logistics partners and warehouse employees now have access to a wide range of tools and materials. The features that would help warehouse managers manage the entire warehouse process effectively include scanning inventory with barcode-scanning apps, viewing the precise location of a shipment on a map, retrieving in-depth shipping information & receiving data, as well as generating reports more quickly.
Restraint:
Smart warehousing offers a lower prevalence across small companies
Many small companies lack their own warehouses because they stock fewer items than do large businesses, which makes sense given their lower stock levels. Many organisations cannot afford to invest in smart warehousing solutions, due to small enterprises with lesser incomes. In addition to their resistance to replace their current systems and their limited growth strategies, small business owners are unable to recognise the benefits of smart warehouse solutions. The Implementation of smart warehousing solutions across various small and medium-sized organisations is further hampered with the significant investments and high initial prices associated with the systems.
Opportunity:
Increased utilisation of warehouse space
The utilisation of warehouse space can be increased with intelligent warehouses. Automated picking and mobile sorting systems can enable taller racks and narrower aisles, allowing for more items to be stored in the same amount of space as traditional warehouses, because traffic and aisle congestion are reduced. Utilising warehouse space more effectively lowers overhead expenses per sold item. The resulting savings can be transferred to customers in the form of lower prices or increased operator profit margins.
Threat:
Incompatibilities caused by smart warehouse
Assuring the security of the system involves building a smart warehouse. Technological progress is inevitable, but it is not universally accepted. There are serious issues regarding the privacy and confidentiality of the data the system has collected. Any dangerous harm caused due to Incompatibility between things in the Warehouse should also be taken into account as a security risk, because the system should be able to guard against such dangers. The technology must also take human safety into account. In terms of data processing, storage, adjusting to new technologies, security, and integrating systems from various supply chain partners, it is difficult to assess, how flexible today's systems are.
Covid-19 Impact:
The COVID-19 had moderate impact on the market for smart warehousing. The COVID-19 greatly affected both supply and demand and disrupted global supply systems. Governments in several Nations have imposed a lockdown, which resulted in the closure of the manufacturing, retail, food and beverage, transportation and logistics industries. The demand for online shopping has greatly expanded after COVID-19 as a result of people's ability to choose a product on an e-commerce platform while relaxing in the comfort of their own residences. However, Covid-19 caused transportation delays for warehouse organisations, which had a negative impact on their supply chain network. As a result, it is determined that the need for smart warehousing has increased across all end users post COVID-19, and this demand is anticipated to drive the market throughout the projection period.
The services segment is expected to be the largest during the forecast period
The services segment is expected to be the largest during the forecast period. The growth can be attributed to the widespread usage of smart phone devices, that makes simple to use automated picking tools and inventory control systems to manage the inventory process and lower labour expenses. Vendors have created smart warehousing devices in response to a growth in user demand for IoT, sensors, and AI technologies to optimise warehouse operations.
The transportation and logistics segment is expected to have the highest CAGR during the forecast period
The transportation and logistics segment is expected to have the highest CAGR during the forecast period. A significant number of smart warehouses are automating almost all processes involved in getting products from suppliers to customers. As a result, it is anticipated that the rapid growth in the use of automation in warehouses around the world would raise the market's potential for sales of smart warehousing. The development of multi-channel distribution networks, globalisation, and the dynamic nature of supply chain networks are all predicted to fuel industry growth in smart warehousing.
Region with largest share:
North America region is estimated to have the largest share during the forecast period, owing to the advancement of technology in North America is responsible for this growth. As an innovation hub and an early adopter of technology, North America is predicted to offer excellent prospects for smart warehousing vendors to grow in this industry. Due to the increasing demand for automating warehouse activities to increase productivity, efficiency, and accuracy, smart warehousing hardware, solutions, and services are predicted to become more widely used in Latin America. The integrated smart warehouse solutions increase employee capacity and offer flexibility.
Region with highest CAGR:
Asia-Pacific region is estimated to have the highest CAGR during the forecast period. China, India, Singapore, South Korea, and other countries are adopting technology-based smart warehousing in a wide range of industries to improve efficiency and customer experience. Additionally, the Asia-Pacific region is predicted to witness an increase in the adoption of smart warehousing hardware, solutions, and services.
Key players in the market
Some of the key players in Smart Warehousing market include Oracle, Manhattan Associates, SAP, IBM, Vinculum, Softeon, Unicommerce, Locus Robotics, Orderhive, Epicor Software Corporation, EasyEcom, ShipHero, IBM Corporation, Infor, Inc., Körber AG, Tecsys, Inc. and PSI Logistics.
Key Developments:
In Feb-2022, Oracle unveiled its Oracle Fusion Cloud Supply Chain & Manufacturing (SCM). It joins shippers" supply networks with a unified suite of cloud business applications. The updates are for subsets in Oracle Fusion Cloud Global SCM-Oracle Transportation Management (OTM) & Oracle Trade Management (GTM)- & are motivated onto helping shippers raise efficiency and value all over their global supply chains, and also reduce cost & risk, better experience of the customer, & also become more adaptable to business interruptions.
In Jan-2022, Epicor took over JMO Business Systems, a leading provider of the warehouse management system (WMS), enterprise mobility solutions & related services for automotive aftermarket and original equipment (OE) parts distributors.
Components Covered:
• Hardware
• Services
• Solutions
• Other Components
Deployment Modes Covered:
• On-premises
• Cloud
Organization Sizes Covered:
• Small and Medium-sized enterprises
• Large Enterprise
Technologies Covered:
• Analytics
• Automated Guided Vehicles
• Block chain in Warehouse
• AI in Warehouse
• RFID
• AR
• Wi-Fi
• Security
• Voice Recognition
• Other Technologies
Applications Covered:
• Transport Management
• Order Management
• Shipping Management
• Dock Door Management
• Task Management
• lnternet of Things Management
• Other Applications
End Users Covered:
• Transportation and Logistics
• Manufacturing
• Energy and Utilities
• Food and Beverages
• Agriculture
• Government
• Mining
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Smart Warehousing Market, By Component
5.1 Introduction
5.2 Hardware
5.3 Services
5.3.1 Managed Services
5.3.2 Professional Services
5.3.2.1 Training and Consulting
5.3.2.2 Support and Maintenance
5.3.2.3 System Integration and Implementation
5.4 Solutions
5.4.1 Warehouse Management System
5.4.1.1 Standalone
5.4.1.2 Integrated
5.4.2 Warehouse Control System
5.4.3 Enterprise Resource Planning Software
5.4.4 Supply Chain Management Software
5.4.5 Inventory Software
5.5 Other Components
6 Global Smart Warehousing Market, By Deployment Mode
6.1 Introduction
6.2 On-premises
6.3 Cloud
7 Global Smart Warehousing Market, By Organization Size
7.1 Introduction
7.2 Small and Medium-sized enterprises
7.3 Large Enterprises
8 Global Smart Warehousing Market, By Technology
8.1 Introduction
8.2 Analytics
8.3 Automated Guided Vehicles
8.4 Blockchain in Warehouse
8.5 Artificial Intelligence in Warehouse
8.6 Radio Frequency Identification (RFID)
8.7 Augmented reality (AR)
8.8 Wi-Fi
8.9 Security
8.10 Voice Recognition
8.11 Other Technologies
9 Global Smart Warehousing Market, By Application
9.1 Introduction
9.2 Transport Management
9.3 Order Management
9.4 Shipping Management
9.5 Dock Door Management
9.6 Task Management
9.7 Internet of Things Management
9.8 Other Applications
10 Global Smart Warehousing Market, By End User
10.1 Introduction
10.2 Transportation and Logistics
10.3 Manufacturing
10.4 Energy and Utilities
10.5 Food and Beverages
10.6 Agriculture
10.7 Government
10.8 Mining
10.9 Other End Users
11 Global Smart Warehousing Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Oracle
13.2 Manhattan Associates
13.3 SAP
13.4 IBM
13.5 Vinculum
13.6 Softeon
13.7 Unicommerce
13.8 Locus Robotics
13.9 Orderhive
13.10 Epicor Software Corporation
13.11 EasyEcom
13.12 ShipHero
13.13 IBM Corporation
13.14 Infor, Inc.
13.15 Körber AG
13.16 Tecsys, Inc.
13.17 PSI Logistics
List of Tables
1 Global Smart Warehousing Market Outlook, By Region (2021-2030) ($MN)
2 Global Smart Warehousing Market Outlook, By Component (2021-2030) ($MN)
3 Global Smart Warehousing Market Outlook, By Hardware (2021-2030) ($MN)
4 Global Smart Warehousing Market Outlook, By Services (2021-2030) ($MN)
5 Global Smart Warehousing Market Outlook, By Managed Services (2021-2030) ($MN)
6 Global Smart Warehousing Market Outlook, By Professional Services (2021-2030) ($MN)
7 Global Smart Warehousing Market Outlook, By Solutions (2021-2030) ($MN)
8 Global Smart Warehousing Market Outlook, By Warehouse Management System (2021-2030) ($MN)
9 Global Smart Warehousing Market Outlook, By Warehouse Control System (2021-2030) ($MN)
10 Global Smart Warehousing Market Outlook, By Enterprise Resource Planning Software (2021-2030) ($MN)
11 Global Smart Warehousing Market Outlook, By Supply Chain Management Software (2021-2030) ($MN)
12 Global Smart Warehousing Market Outlook, By Inventory Software (2021-2030) ($MN)
13 Global Smart Warehousing Market Outlook, By Other Components (2021-2030) ($MN)
14 Global Smart Warehousing Market Outlook, By Deployment Mode (2021-2030) ($MN)
15 Global Smart Warehousing Market Outlook, By On-premises (2021-2030) ($MN)
16 Global Smart Warehousing Market Outlook, By Cloud (2021-2030) ($MN)
17 Global Smart Warehousing Market Outlook, By Organization Size (2021-2030) ($MN)
18 Global Smart Warehousing Market Outlook, By Small and Medium-sized enterprises (2021-2030) ($MN)
19 Global Smart Warehousing Market Outlook, By Large Enterprises (2021-2030) ($MN)
20 Global Smart Warehousing Market Outlook, By Technology (2021-2030) ($MN)
21 Global Smart Warehousing Market Outlook, By Analytics (2021-2030) ($MN)
22 Global Smart Warehousing Market Outlook, By Automated Guided Vehicles (2021-2030) ($MN)
23 Global Smart Warehousing Market Outlook, By Blockchain in Warehouse (2021-2030) ($MN)
24 Global Smart Warehousing Market Outlook, By Artificial Intelligence in Warehouse (2021-2030) ($MN)
25 Global Smart Warehousing Market Outlook, By Radio Frequency Identification (RFID) (2021-2030) ($MN)
26 Global Smart Warehousing Market Outlook, By Augmented reality (AR) (2021-2030) ($MN)
27 Global Smart Warehousing Market Outlook, By Wi-Fi (2021-2030) ($MN)
28 Global Smart Warehousing Market Outlook, By Security (2021-2030) ($MN)
29 Global Smart Warehousing Market Outlook, By Voice Recognition (2021-2030) ($MN)
30 Global Smart Warehousing Market Outlook, By Other Technologies (2021-2030) ($MN)
31 Global Smart Warehousing Market Outlook, By Application (2021-2030) ($MN)
32 Global Smart Warehousing Market Outlook, By Transport Management (2021-2030) ($MN)
33 Global Smart Warehousing Market Outlook, By Order Management (2021-2030) ($MN)
34 Global Smart Warehousing Market Outlook, By Shipping Management (2021-2030) ($MN)
35 Global Smart Warehousing Market Outlook, By Dock Door Management (2021-2030) ($MN)
36 Global Smart Warehousing Market Outlook, By Task Management (2021-2030) ($MN)
37 Global Smart Warehousing Market Outlook, By Internet of Things Management (2021-2030) ($MN)
38 Global Smart Warehousing Market Outlook, By Other Applications (2021-2030) ($MN)
39 Global Smart Warehousing Market Outlook, By End User (2021-2030) ($MN)
40 Global Smart Warehousing Market Outlook, By Transportation and Logistics (2021-2030) ($MN)
41 Global Smart Warehousing Market Outlook, By Manufacturing (2021-2030) ($MN)
42 Global Smart Warehousing Market Outlook, By Energy and Utilities (2021-2030) ($MN)
43 Global Smart Warehousing Market Outlook, By Food and Beverages (2021-2030) ($MN)
44 Global Smart Warehousing Market Outlook, By Agriculture (2021-2030) ($MN)
45 Global Smart Warehousing Market Outlook, By Government (2021-2030) ($MN)
46 Global Smart Warehousing Market Outlook, By Mining (2021-2030) ($MN)
47 Global Smart Warehousing Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
Figure 1 Global Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 2 North America Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 3 US Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 4 Canada Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 5 Mexico Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 6 Europe Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 7 Germany Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 8 UK Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 9 Italy Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 10 France Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 11 Spain Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 12 Rest of Europe Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 13 Asia Pacific Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 14 Japan Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 15 China Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 16 India Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 17 Australia Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 18 New Zealand Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 19 South Korea Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 20 Rest of Asia Pacific Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 21 South America Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 22 Argentina Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 23 Brazil Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 24 Chile Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 25 Rest of South America Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 26 Middle East & Africa Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 27 Saudi Arabia Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 28 UAE Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 29 Qatar Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 30 South Africa Smart Warehousing Market Outlook (2021-2030) ($MN)
Figure 31 Rest of Middle East & Africa Smart Warehousing Market Outlook (2021-2030) ($MN)
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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