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Global Connected Logistics Market to reach USD 87.80 Billion by the end of 2030

Global Connected Logistics Market Size study & Forecast, by Component (Hardware, Software, Services), by Transportation Mode (Roadways, Railways, Airways, Waterways), by Vertical (Retail & E-commerce, Automotive, Aerospace & Defense, Healthcare, Energy, Electronics & Semiconductors, Others) and Regional Analysis, 2023-2030

Product Code: ALTL-70987486
Publish Date: 29-02-2024
Page: 200

Global Connected Logistics Market is valued at approximately USD 29.72 Billion in 2022 and is anticipated to grow with a healthy growth rate of more than 14.50% during the forecast period 2023-2030. Connected logistics refers to the integration of various technologies, systems, and processes within the logistics and supply chain management domain to enable seamless communication, data exchange, and coordination across the entire supply chain network. It involves the use of digital platforms, Internet of Things (IoT) devices, data analytics, and automation to optimize the movement of goods, enhance visibility, and improve efficiency throughout the supply chain. The Connected Logistics Market is expanding because of factors such as the rising adoption of IoT technologies, the growing adoption of logistics 4.0 principles and the growing shift of consumers towards online shopping.

IoT devices such as sensors and RFID tags enable real-time tracking and monitoring of goods, assets, and vehicles throughout the supply chain. This enhanced visibility allows companies to optimize inventory management, minimize stockouts, and improve overall operational efficiency. Moreover, IoT sensors embedded in machinery and equipment can monitor performance metrics and detect anomalies in real time. By leveraging predictive analytics, companies can proactively schedule maintenance activities, reduce downtime, and prevent costly equipment failures, thereby improving supply chain reliability. Optimized Route Planning in vehicles and transportation assets capture data on factors such as traffic conditions, weather forecasts, and road closures. This data can be analyzed to optimize route planning, reduce fuel consumption, minimize delivery times, and enhance overall fleet management efficiency. A survey conducted by The Bureau of Energy Efficiency (BEE) in 2023 revealed that 85 percent of electric two-wheeler users found the IoT features to be valuable in streamlining their daily commutes. Furthermore, as per a report published by LM Ericsson in 2021, IoT connections are projected to increase from 100 million in 2020 to 292 million in 2030 in the transportation sector alone as linked devices collect more data, thereby fostering growth with analytics solutions. Furthermore, the rapid growth of e-commerce has heightened the demand for efficient and cost-effective logistics solutions. As consumers increasingly rely on online shopping, businesses need to optimize their logistics operations to meet growing delivery expectations. Connected logistics technologies, such as real-time tracking and route optimization, play a crucial role in supporting the e-commerce boom and rise in market opportunities for the Connected Logistics Market. However, the high cost of initial investment hinders market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Connected Logistics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to factors such as the presence of highly developed road and rail infrastructure, growing demand for technological integration in logistics, presence of major players in the region and rapid boom in the E-commerce market. Asia Pacific is expected to grow significantly over the forecast period. This can be attributed to factors such as rising technological advancements in transportation, growing investments in developing megacity and metro projects and the presence of leading E-commerce companies in the region.

Major market player included in this report are:
Intel Corporation
Infosys Limited
Cisco System Inc.
HCL Technology Limited
International Business Machines (IBM) Corporation
Freightgate Inc.,
ROHM Co., Ltd.
Renesas Electric Corporation

Recent Developments in the Market:
Ø In February 2022, Oracle and RHI Magnesita entered into an agreement under which RHI Magnesita opted for Oracle’s fusion cloud transportation management solution. This agreement enhanced RHI Magnesita’s transportation operations, leading to cost savings and better customer service.
Ø In February 2024, Oracle rolled out enhancements in its Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) platform. The upgrades to Oracle Transportation Management and Oracle Global Trade Management, both part of Oracle Cloud SCM, assisted customers in optimizing logistics operations by boosting visibility, lowering costs, automating regulatory compliance, and improving decision-making.
Ø In June 2021, Holisol Logistics, a provider of comprehensive supply chain management solutions, secured USD 3 million in debt financing from Northern Arc Capital. The funding was utilized to support the company’s expansion and meet the growing demand for its end-to-end logistics services, driven by customer requirements for efficient supply chain management.

Global Connected Logistics 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 – Component, Transportation Mode, Vertical, 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 Component:

By Transportation Mode:

By Vertical:
Retail & E-commerce
Aerospace & Defense
Electronics & Semiconductors

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. Connected Logistics Market, by Region, 2020-2030 (USD Billion)
1.2.2. Connected Logistics Market, by Component, 2020-2030 (USD Billion)
1.2.3. Connected Logistics Market, by Transportation Mode, 2020-2030 (USD Billion)
1.2.4. Connected Logistics Market, by Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Connected Logistics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Vertical Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Connected Logistics Market Dynamics
3.1. Connected Logistics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising adoption of IoT technologies Growing adoption of logistics 4.0 principles Growing shift of consumers towards online shopping
3.1.2. Market Challenges High initial cost of investment
3.1.3. Market Opportunities Rising e-commerce sector Growing demand for cost-efficient solutions
Chapter 4. Global Connected Logistics Market Vertical 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. Vertical Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Connected Logistics Market, by Component
5.1. Market Snapshot
5.2. Global Connected Logistics Market by Component, Performance – Potential Analysis
5.3. Global Connected Logistics Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Connected Logistics Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
5.4.3. Services
Chapter 6. Global Connected Logistics Market, by Transportation Mode
6.1. Market Snapshot
6.2. Global Connected Logistics Market by Transportation Mode, Performance – Potential Analysis
6.3. Global Connected Logistics Market Estimates & Forecasts by Transportation Mode 2020-2030 (USD Billion)
6.4. Connected Logistics Market, Sub Segment Analysis
6.4.1. Roadways
6.4.2. Railways
6.4.3. Airways
6.4.4. Waterways
Chapter 7. Global Connected Logistics Market, by Vertical
7.1. Market Snapshot
7.2. Global Connected Logistics Market by Vertical, Performance – Potential Analysis
7.3. Global Connected Logistics Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
7.4. Connected Logistics Market, Sub Segment Analysis
7.4.1. Retail & E-commerce
7.4.2. Automotive
7.4.3. Aerospace & Defense
7.4.4. Healthcare
7.4.5. Energy
7.4.6. Electronics & Semiconductors
7.4.7. Others
Chapter 8. Global Connected Logistics Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Connected Logistics Market, Regional Market Snapshot
8.4. North America Connected Logistics Market
8.4.1. U.S. Connected Logistics Market Component breakdown estimates & forecasts, 2020-2030 Transportation Mode breakdown estimates & forecasts, 2020-2030 Vertical breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Connected Logistics Market
8.5. Europe Connected Logistics Market Snapshot
8.5.1. U.K. Connected Logistics Market
8.5.2. Germany Connected Logistics Market
8.5.3. France Connected Logistics Market
8.5.4. Spain Connected Logistics Market
8.5.5. Italy Connected Logistics Market
8.5.6. Rest of Europe Connected Logistics Market
8.6. Asia-Pacific Connected Logistics Market Snapshot
8.6.1. China Connected Logistics Market
8.6.2. India Connected Logistics Market
8.6.3. Japan Connected Logistics Market
8.6.4. Australia Connected Logistics Market
8.6.5. South Korea Connected Logistics Market
8.6.6. Rest of Asia Pacific Connected Logistics Market
8.7. Latin America Connected Logistics Market Snapshot
8.7.1. Brazil Connected Logistics Market
8.7.2. Mexico Connected Logistics Market
8.8. Middle East & Africa Connected Logistics Market
8.8.1. Saudi Arabia Connected Logistics Market
8.8.2. South Africa Connected Logistics Market
8.8.3. Rest of Middle East & Africa Connected Logistics 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. Intel Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Infosys Limited
9.3.3. Cisco System Inc.
9.3.4. HCL Technology Limited
9.3.5. International Business Machines (IBM) Corporation
9.3.6. SAP SE
9.3.7. ORBOCMM
9.3.8. Freightgate Inc.,
9.3.9. ROHM Co., Ltd.
9.3.10. Renesas Electric Corporation
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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