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Shipping Software Market was valued at USD 13.01 billion in 2023 and is expected to reach USD 28.07 Billion by 2032, growing at a CAGR of 8.94% from 2024-2032.
The Shipping Software Market is rapidly expanding as e-commerce, logistics, and supply chain industries increasingly adopt digital tools to manage shipping operations. Shipping software simplifies order fulfillment, tracking, and documentation, significantly enhancing efficiency for businesses of all sizes. This software is particularly impactful in e-commerce, where there is high demand for swift and reliable delivery solutions. For instance, with global e-commerce surpassing USD 5.5 trillion in 2022, businesses face growing pressure to implement optimized shipping solutions. Real-time integration with carriers, inventory systems, and customer relationship management platforms is crucial for operational visibility and streamlined workflows.
One of the key growth drivers is the rising consumer demand for faster, more flexible shipping options. To meet this need, companies are investing in tools for real-time shipment tracking and predictive analytics. As a result, the adoption of shipping software among small and medium-sized enterprises (SMEs) has increased significantly, with approximately 60% of U.S. SMEs using software for logistics management in 2023. Additionally, the rise in cross-border e-commerce has driven demand for complex, multi-carrier solutions that support international shipping. In Asia-Pacific, where over 60% of retail sales are online, businesses increasingly turn to software to navigate regional regulations and customs smoothly.
Furthermore, advancements in artificial intelligence and machine learning allow shipping software to optimize routes, reduce delivery times, and control costs. For example, in 2024, DHL implemented AI-driven shipping software in its European operations, enabling it to forecast peak periods and optimize delivery routes, achieving nearly 20% savings on transportation costs. Software-as-a-service (SaaS) models have also made these solutions more accessible to businesses of all sizes.
Overall, the Shipping Software Market is growing as companies continue to digitize operations to enhance efficiency, reduce costs, and improve customer satisfaction, fueled by the ongoing expansion of global online retail and continuous technological advancements.
Drivers
Increasing consumer preference for rapid, flexible shipping options pushes companies to adopt real-time tracking and analytics tools.
Growth in international online sales requires complex, multi-carrier software to navigate customs and regional regulations seamlessly.
AI and machine learning are enabling route optimization, predictive analytics, and cost savings in shipping operations.
The Shipping Software Market is experiencing a sea change propelled by AI and machine learning, leading to advanced route optimization, predictive analytics, and cost management—elements that are building blocks for agile shipping operations. These technologies leverage data analysis at scale to enable software to predict the best paths for delivery, accounting for distance and timing alongside traffic conditions or weather and scheduling relays. This optimization also reduces fuel consumption and transportation costs, thereby contributing to sustainable logistics practices while enabling timely deliveries. In fact, logistics companies harness machine learning to predict peak delivery hours and respond by adjusting routes and schedules in advance, alleviating delays while improving the customer experience.
With AI-based predictive analytics, further enables the companies to predict changes in shipping demand and respond to variations. Using historical data as well as real-time inputs, these predictive tools give businesses advance notice of demand spikes typically seen during holidays or major sales events, allowing for more effective resource allocation. By 2024, top-tier companies such as DHL adopted AI-based software to forecast shipment volumes and allocate resources accordingly, which helped them save almost 20% on transportation costs. This proactive strategy allows businesses to provide flawless service during periods of high demand and, in turn, enhance customer experience.
Moreover, Artificial Intelligence and Machine Learning also provide cost-effective solutions while managing inventory or warehouses. By utilizing AI empowered shipping software, they will be able to predict inventory requirements, have stock levels adjusted, and order fulfillment processed to avoid costly last-minute changes and the additional expensive storage charges that come alongside excess stock. Additionally, AI-powered tracking in real-time assists in preventing lost or delayed parcels, which are expensive to replace or expedite.
The shipment software market is experiencing a turnaround owing to the amalgamation of AI and machine learning, increasing efficiency, streamlining operations along with decreasing costs while renewing better responsiveness. From smart tools for route planning, demand forecasting to resource management improving operational efficiency and customer satisfaction, lies the core of why AI continues to be vital in modern logistics.
Restraints
Companies with established processes may resist adopting new software, fearing disruption to existing workflows.
Real-time tracking and AI-driven features require stable internet connectivity, which may not be consistent in all regions.
The handling of sensitive shipping and customer data raises security risks, leading to potential breaches and compliance issues.
Handling sensitive shipping and customer data introduces significant security and compliance risks in the Shipping Software Market. These systems manage vast amounts of critical data, such as customer addresses, payment information, product details, and shipment tracking, which are essential for seamless operations but make them prime targets for cyberattacks. This data breach can lead to major financial losses, reputational damage, and legal consequences for the affected businesses.
As shipping operations become more digitized, the risk of data breaches grows, particularly with the integration of third-party systems like payment processors, carriers, and inventory management platforms. Cybercriminals may exploit weaknesses in these interconnected systems to steal or alter sensitive data. Furthermore, shipping companies must adhere to strict data protection laws, such as GDPR in Europe and CCPA in California, with non-compliance resulting in significant fines and legal issues, making data security and regulatory adherence more complex.
To address these challenges, shipping software providers are implementing advanced encryption techniques, secure authentication protocols, and access control systems. Ongoing software updates, security patches, and employee training on data protection are essential defenses against cyber threats. However, securing data across interconnected systems with multiple stakeholders remains difficult, especially for smaller companies that may lack the resources or expertise to implement robust security measures, increasing their risk of breaches.
Securing sensitive data is paramount as the Shipping Software Market evolves with more advanced technologies. Companies must invest in comprehensive cybersecurity strategies, stay updated on evolving data protection regulations, and adopt the necessary tools to safeguard against potential breaches.
By Component
The e-commerce shipping segment dominated the Shipping Software Market and represented significant revenue share in 2023, boosted by fast-paced growth of e-commerce and an increasing demand among consumers for quicker and more efficient delivery solutions. With the growth of e-commerce on an international level, there is a rising need for shipping software with features such as handling large numbers of transactions and delivery routes and tracking real-time status notifications. The model being another important unique in this segment highlighted through acceleration by direct-to-consumer, also encourages cross-border shipping. Mobile commerce and international e-commerce are predicted to only further increase this growth in the coming years. Retailers are investing heavily in state-of-the-art e-commerce shipping solutions to improve delivery speed, reduce costs and offer seamless integrations with their online shop.
The freight management system segment is expected to see the highest compound annual growth rate (CAGR) in the Shipping Software Market during the forecast period, driven by the growing complexity of freight logistics and the need for businesses to streamline operations across multiple carriers, transport modes, and international boundaries. These systems offer solutions for route planning, freight cost management, carrier selection, and shipment tracking, all of which help businesses boost efficiency and reduce expenses. As global trade and freight volumes increase, more companies are adopting these systems for improved shipment management. The use of AI and machine learning to optimize shipping routes is also contributing to the rapid expansion of this segment. The demand for integrated logistics platforms and the emphasis on efficiency and cost reduction in freight shipping will further accelerate the adoption of freight management systems.
By Deployment
The cloud deployment segment dominated the Market and accounting for significant revenue share in 2023, driven by the widespread adoption of cloud technologies across various sectors. Cloud-based solutions offer greater flexibility, scalability, and cost-effectiveness compared to traditional on-premise systems. Through cloud deployment, businesses gain the ability to access real-time data, manage shipments from anywhere, and easily scale operations to meet growing demands. Moreover, the cloud model facilitates seamless integration with third-party services while reducing the need for substantial investments in physical infrastructure. With the rise of remote work, cloud solutions further enhance accessibility and collaboration. Looking ahead, the cloud deployment segment is poised for continued growth as businesses prioritize adaptable, scalable shipping solutions. The increasing demand for cost-effective, scalable, and accessible options, along with the growing adoption of cloud technologies, will further drive this segment's expansion.
On-premise deployment segment is anticipated to register highest CAGR during the forecast period. On-premise is a preferred choice for businesses operating in highly regulated sectors to improve data privacy and meet stringent regulatory requirements. These solutions provide more customization, enabling businesses to customize the software to their needs without depending on a third-party cloud service. Similarly, on-premise systems remove internet connectivity concerns and they will continue to work when the service gets disrupted. Although this segment will grow at a slower pace than cloud-based option, it continues to command high demand – our data shows that large businesses and those focused on security and control of their data remain staunch buyers. The market is anticipated to maintain a steady pace of study mainly in regions with strong data privacy legislation.
Regional Analysis
In 2023, North America dominated the market and represented significant revenue share. Primarily due to growth from various logistics and e-commerce companies, innovation sourcing, demand for innovative shipping solutions and technological advancements. Major shipping software providers are found in the United States, which has a highly developed logistics infrastructure. Due to widespread adoption of cloud technologies, shipping processes automated and a blossoming e-commerce industry the region seems well-positioned. The position of North America is furthered by the rapid expansion of major retail businesses and growing demand for efficient cross-border shipping. As we move towards the future, the area will continue to lead the way, driven by advanced logistics solutions, AI-based shipping options and omnichannel retail growth. As companies invest in supply chain optimization and better customer experiences, steady growth is expected.
The Asia Pacific Shipping Software Market is expected to achieve the highest compound annual growth rate (CAGR) during the forecast time period, as a result of increasing e-commerce and global trade activities in conjunction with recent significant infrastructure developments in China, India and Japan. A steep growth in need of cross border shipping solutions with growing logistics and transportation sector are some factors that boosts the demand for advanced shipping software in the region. Market growth is further fueled by the increasing proliferation of e-commerce giants, digital evolution of supply chains & processes and massive infrastructure investment opportunities by governments.
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Key players
The major key players along with their products
SAP - SAP Integrated Business Planning (IBP)
Oracle - Oracle Transportation Management Cloud
BluJay Solutions - BluJay Global Trade Network (GTN)
Descartes Systems Group - Descartes Aljex
Manhattan Associates - Manhattan Transportation Management System (TMS)
Kewill - Kewill MOVE
ShipBob - ShipBob Fulfillment Software
CargoSmart - CargoSmart Shipping Management Solutions
FreightPOP - FreightPOP Shipping Software Platform
WiseTech Global - CargoWise One
Project44 - Project44 Supply Chain Visibility Platform
Transplace - Transplace Transportation Management System
Softeon - Softeon TMS
Cerasis - Cerasis Rater
3Gtms - 3Gtms Transportation Management System
Locus - Locus Route Optimization Software
ShipEngine - ShipEngine Shipping API
Easyship - Easyship Global Shipping Software
Onfleet - Onfleet Delivery Management Software
AfterShip - AfterShip Tracking API
Recent Developments
In the first quarter of 2024, Pitney Bowes launched updates to its SendPro Online platform, focusing on enhanced cross-border shipping and improved tracking capabilities for eCommerce businesses. This expansion aims to streamline international shipments with real-time updates and automated customs management
Metapack announced a partnership with major eCommerce retailers in February 2024 to deliver a comprehensive delivery experience. The updates to their Metapack Delivery Management Platform will enhance route optimization and improve delivery transparency
WiseTech Global upgraded its CargoWise platform in February 2024 to include more AI-driven logistics optimization tools, aimed at reducing shipping costs and improving route planning for international freight
Report Attributes | Details |
Market Size in 2023 | USD 13.01 billion |
Market Size by 2031 | USD 28.07 Billion |
CAGR | CAGR of 8.94% From 2024 to 2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Data | 2020-2022 |
Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments | • By Deployment (On-premise, Cloud) • By Component (Software, Services) • By Application (Retail & eCommerce, 3PL/Contract Logistics, Courier & Postal Services, Freight/Cargo Forwarding) |
Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
Company Profiles |
SAP, Oracle, BluJay Solutions, Descartes Systems Group, Manhattan Associates, Kewill, ShipBob, CargoSmart, FreightPOP, WiseTech Global, Project44, Transplace, Softeon |
Key Drivers | •Increasing consumer preference for rapid, flexible shipping options pushes companies to adopt real-time tracking and analytics tools. •Growth in international online sales requires complex, multi-carrier software to navigate customs and regional regulations seamlessly. •AI and machine learning are enabling route optimization, predictive analytics, and cost savings in shipping operations. |
Market Restraints | •Companies with established processes may resist adopting new software, fearing disruption to existing workflows. •Real-time tracking and AI-driven features require stable internet connectivity, which may not be consistent in all regions. •The handling of sensitive shipping and customer data raises security risks, leading to potential breaches and compliance issues. |
Ans- Challenges in Shipping Software Market are
Ans- one main growth factor for the Shipping Software Market is
Ans- The North America dominated the market and represented significant revenue share in 2023
Ans- the CAGR of Shipping Software Market during the forecast period is of 8.94% from 2024-2032.
Ans- Automotive Fender Market was valued at USD 13.01 billion in 2023 and is expected to reach USD 28.07 Billion by 2032, growing at a CAGR of 8.94% from 2024-2032.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Feature Analysis, 2023
5.2 User Demographics, 2023
5.3 Integration Capabilities, by Software, 2023
5.4 Impact on Decision-making
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Shipping Software Market Segmentation, By Component
7.1 Chapter Overview
7.2 Software
7.2.1 Software Market Trends Analysis (2020-2032)
7.2.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.3 ECommerce Shipping
7.2.3.1 ECommerce Shipping Market Trends Analysis (2020-2032)
7.2.3.2 ECommerce Shipping Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.4 Multi-carrier Shipping System
7.2.4.1 Multi-carrier Shipping System Market Trends Analysis (2020-2032)
7.2.4.2 Multi-carrier Shipping System Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.5 Shipment Tracking
7.2.5.1 Shipment Tracking Market Trends Analysis (2020-2032)
7.2.5.2 Shipment Tracking Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.6 Shipping Label
7.2.6.1 Shipping Label Market Trends Analysis (2020-2032)
7.2.6.2 Shipping Label Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2020-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.3 Professional
7.3.3.1 Professional Market Trends Analysis (2020-2032)
7.3.3.2 Professional Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.4 Managed
7.3.4.1 Managed Market Trends Analysis (2020-2032)
7.3.4.2 Managed Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Shipping Software Market Segmentation, by Deployment
8.1 Chapter Overview
8.2 On-premise
8.2.1 On-premise Market Trends Analysis (2020-2032)
8.2.2 On-premise Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Cloud
8.3.1 Cloud Market Trends Analysis (2020-2032)
8.3.2 Cloud Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Shipping Software Market Segmentation, by Application
9.1 Chapter Overview
9.2 Retail & E-Commerce
9.2.1 Retail & E-Commerce Market Trends Analysis (2020-2032)
9.2.2 Retail & E-Commerce Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 3PL/Contract Logistics
9.3.1 3PL/Contract Logistics Market Trends Analysis (2020-2032)
9.3.2 3PL/Contract Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Courier & Postal Services
9.4.1 Courier & Postal Services Market Trends Analysis (2020-2032)
9.4.2 Courier & Postal Services Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Freight/Cargo Forwarding
9.5.1 Freight/Cargo Forwarding Market Trends Analysis (2020-2032)
9.5.2 Freight/Cargo Forwarding Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.4 North America Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.5 North America Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.6.2 USA Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.6.3 USA Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.7.2 Canada Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.7.3 Canada Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.8.2 Mexico Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.8.3 Mexico Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.6.2 Poland Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.6.3 Poland Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.7.2 Romania Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.7.3 Romania Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.4 Western Europe Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.5 Western Europe Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.6.2 Germany Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.6.3 Germany Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.7.2 France Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.7.3 France Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.8.2 UK Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.8.3 UK Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.9.2 Italy Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.9.3 Italy Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.10.2 Spain Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.10.3 Spain Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.13.2 Austria Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.13.3 Austria Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.4 Asia Pacific Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.5 Asia Pacific Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.6.2 China Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.6.3 China Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.7.2 India Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.7.3 India Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.8.2 Japan Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.8.3 Japan Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.9.2 South Korea Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.9.3 South Korea Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.10.2 Vietnam Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.10.3 Vietnam Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.11.2 Singapore Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.11.3 Singapore Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.12.2 Australia Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.12.3 Australia Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.4 Middle East Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.5 Middle East Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.6.2 UAE Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.6.3 UAE Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.4 Africa Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.5 Africa Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Shipping Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.4 Latin America Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.5 Latin America Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.6.2 Brazil Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.6.3 Brazil Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.7.2 Argentina Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.7.3 Argentina Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.8.2 Colombia Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.8.3 Colombia Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Shipping Software Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Shipping Software Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Shipping Software Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11. Company Profiles
11.1 SAP
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Oracle
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 BluJay Solutions
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Descartes Systems Group
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Manhattan Associates
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Kewill
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 ShipBob
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 CargoSmart
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 FreightPOP
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 WiseTech Global
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Software
eCommerce Shipping
Freight Management System
Multi-carrier Shipping System
Shipment Tracking
Shipping Label
Services
Professional
Managed
By Deployment
On-premise
Cloud
By Application
Retail & E-Commerce
3PL/Contract Logistics
Courier & Postal Services
Freight/Cargo Forwarding
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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The Digital Transaction Management Market size was USD 12.30 Billion in 2023 and is expected to Reach USD 76.66 Billion by 2031 and grow at a CAGR of 25.7% over the forecast period of 2024-2031.
The Capacity Management Market size was valued at $1.30 Billion in 2023 and is expected to reach $6.65 Bn by 2032 and grow at a CAGR of 19.86% by 2024-2032
The App Analytics Market was valued at USD 6.1 Billion in 2023 and is expected to reach USD 34.3 Billion by 2032, growing at a CAGR of 21.09% from 2024-2032.
The Public Key Infrastructure (PKI) Market size was valued at USD 2.75 Billion in 2023 and is expected to reach USD 3.77 Billion by 2032, growing at a CAGR of 3.62% over the forecast period 2024-2032.
3D Printing Market Size was valued at USD 21.1 billion in 2023 and is expected to reach USD 118.9 billion by 2032, growing at a CAGR of 21.2 % over the forecast period 2024-2032.
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