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Global E-Commerce Warehouse Market to reach USD 611.7 billion by the end of 2030.

Global E-Commerce Warehouse Market Size study & Forecast by Business Type (B2B, B2C), by Component (Hardware Equipment, Software), by Product (Electronics, Apparel, Home Furnishing, Personal care and Baby Products, Books, Other) and Regional Analysis, 2023-2030

Product Code: ICTE-26681750
Publish Date: 19-06-2023
Page: 200

Global E-Commerce Warehouse Market is valued at approximately USD 158.4 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 18.4% over the forecast period 2023-2030. The E-Commerce Warehouse Market refers to the industry encompassing the physical facilities and logistics infrastructure dedicated to the storage, management, and distribution of products for online retail businesses. It involves the management of inventory, order processing and logistics to efficiently serve the online customer. The E-commerce warehouse market is being driven by factors such as a rise in the number of online buyers and technological advancement in warehouse management.

According to Invest India National investment promotion & facilitation agency Close to 100 per cent of pin codes in India have seen e-commerce adoption. Along with that ONDC, a network launched by the Government of India in 2022, aims to provide equal opportunities to MSMEs to thrive in digital commerce and democratize e-commerce. In 2022, Indian e-commerce and consumer internet companies raised USD 15.4 billion in PE/VC funding, a 2x increase from USD 8.2 billion in 2020. Along with that in 2019, e-commerce sales per million population surpassed $2.1 billion in Britain and nearly $1.8 billion in the United States, as reported by the World Economic Forum. Thus, increasing funding for e-commerce companies and increasing sale per million drives market growth. In addition to the rising number of smartphone users and the adoption of online shopping may create lucrative opportunities for the market. However, the shortage of labor and reverse logistics may hinder the growth of the market.

The key regions considered for the Global E-Commerce Warehouse Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 owing to the high internet penetration and untapped market (rural areas or second-tier cities). The Asia Pacific is also considered the fastest growing region during the forecasted period due to the large population base and presence of big merchandise exporters countries in the region.
Major market player included in this report are:
Amazon.com Services LLC. Co.
Deutsche Post DHL Group
Kenco Group
Red Stag Fulfillment
ShipBob Inc.
United Parcel Service of America, Inc.

Recent Developments in the Market:
Ø In 19 April 2023 The Ranch Arrangement is a furniture store located in Denton TX that specializes in unique and custom furniture pieces and home decor. The company recently launched a new eCommerce website to improve the user experience and help customers find products, and make purchases anywhere and at any time. The new site is mobile-friendly, making it easier for customers to access the website on their phones or tablets.
Ø In April 2023, Indian govt. launch zero commission portal for artisans. The textile ministry statement reveals that the portal offers several benefits to its users. Sellers are not charged any commission, while customers enjoy free shipping and the option to return items. Additionally, the platform supports multiple payment gateways for convenient transactions.
Global E-Commerce Warehouse Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered –Business Type, Component, Product, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Business Type :

By Component:
Hardware Equipment

By Product:
Home Furnishing
Personal care and Baby Products

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. E-Commerce Warehouse Market, by Region, 2020-2030 (USD Billion)
1.2.2. E-Commerce Warehouse Market, by Business Type, 2020-2030 (USD Billion)
1.2.3. E-Commerce Warehouse Market, by Component 2020-2030 (USD Billion)
1.2.4. E-Commerce Warehouse Market, by Product, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global E-Commerce Warehouse Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global E-Commerce Warehouse Market Dynamics
3.1. E-Commerce Warehouse Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rise in the number of online buyers Technology advancement in warehouse management.
3.1.2. Market Challenges Shortage of labour and reverse logistics
3.1.3. Market Opportunities Adoption of online shopping Rising number of smartphone user
Chapter 4. Global E-Commerce Warehouse Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global E-Commerce Warehouse Market, by Business Type
5.1. Market Snapshot
5.2. Global E-Commerce Warehouse Market by Business Type, Performance – Potential Analysis
5.3. Global E-Commerce Warehouse Market Estimates & Forecasts by Business Type 2020-2030 (USD Billion)
5.4. E-Commerce Warehouse Market, Sub Segment Analysis
5.4.1. B2B
5.4.2. B2C
Chapter 6. Global E-Commerce Warehouse Market, by Component
6.1. Market Snapshot
6.2. Global E-Commerce Warehouse Market by Component Performance – Potential Analysis
6.3. Global E-Commerce Warehouse Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
6.4. E-Commerce Warehouse Market, Sub Segment Analysis
6.4.1. Hardware Equipment
6.4.2. Software
Chapter 7. Global E-Commerce Warehouse Market, by Product
7.1. Market Snapshot
7.2. Global E-Commerce Warehouse Market by Product, Performance – Potential Analysis
7.3. Global E-Commerce Warehouse Market Estimates & Forecasts by Product 2020-2030 (USD Billion)
7.4. E-Commerce Warehouse Market, Sub Segment Analysis
7.4.1. Electronics
7.4.2. Apparel
7.4.3. Home Furnishing
7.4.4. Personal care and Baby care
7.4.5. Books
7.4.6. Other
Chapter 8. Global E-Commerce Warehouse Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. E-Commerce Warehouse Market, Regional Market Snapshot
8.4. North America E-Commerce Warehouse Market
8.4.1. U.S. E-Commerce Warehouse Market Business Type breakdown estimates & forecasts, 2020-2030 Component breakdown estimates & forecasts, 2020-2030 Product breakdown estimates & forecasts, 2020-2030
8.4.2. Canada E-Commerce Warehouse Market
8.5. Europe E-Commerce Warehouse Market Snapshot
8.5.1. U.K. E-Commerce Warehouse Market
8.5.2. Germany E-Commerce Warehouse Market
8.5.3. France E-Commerce Warehouse Market
8.5.4. Spain E-Commerce Warehouse Market
8.5.5. Italy E-Commerce Warehouse Market
8.5.6. Rest of Europe E-Commerce Warehouse Market
8.6. Asia-Pacific E-Commerce Warehouse Market Snapshot
8.6.1. China E-Commerce Warehouse Market
8.6.2. India E-Commerce Warehouse Market
8.6.3. Japan E-Commerce Warehouse Market
8.6.4. Australia E-Commerce Warehouse Market
8.6.5. South Korea E-Commerce Warehouse Market
8.6.6. Rest of Asia Pacific E-Commerce Warehouse Market
8.7. Latin America E-Commerce Warehouse Market Snapshot
8.7.1. Brazil E-Commerce Warehouse Market
8.7.2. Mexico E-Commerce Warehouse Market
8.8. Middle East & Africa E-Commerce Warehouse Market
8.8.1. Saudi Arabia E-Commerce Warehouse Market
8.8.2. South Africa E-Commerce Warehouse Market
8.8.3. Rest of Middle East & Africa E-Commerce Warehouse Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Amazon.com services LLC. Co. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Deutsche Post DHL Group
9.3.3. FedEx
9.3.4. Kenco Group
9.3.5. Red stag fulfilment
9.3.6. Shipbob Inc.
9.3.7. ShipMonk.
9.3.8. ShipNetwork
9.3.9. Shopify Inc.
9.3.10. United Parcel Services of America Inc.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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