The global IoT in supply chain market size is anticipated to reach a valuation of US$ 41.8 billion by 2033. It is estimated to surpass a valuation of US$ 12.4 billion by 2023. From 2018 to 2022, the global market is projected to witness a CAGR of 15.5%.
Increasing demand for internet of things (IoT) in the supply chain sector can be attributed to several factors. IoT devices enable real-time tracking and monitoring of goods throughout the supply chain. It is expected to be extensively used to gain accurate and timely information about their location, condition, and status.
Supply chain managers looking to gain better visibility and control over their operations are projected to adopt IoT. It can also help them in optimizing inventory management, reducing losses, and improving efficiency. Ability of IoT technology to enable predictive maintenance of critical equipment and machinery in the supply chain would propel demand.
A few of these include vehicles, warehouses, and manufacturing facilities. By collecting and analyzing data from IoT sensors embedded in these assets, potential failures or performance issues can be identified in advance, allowing for proactive maintenance and minimizing downtime. It is set to hence increase IoT in supply chain’s popularity by 2033.
IoT-enabled supply chain solutions would facilitate seamless integration and communication between various stakeholders involved in the process. These include suppliers, manufacturers, distributors, and retailers.
The interconnectedness can enhance collaboration, streamline processes, and enable faster decision-making. These properties are expected to lead to improved coordination and responsiveness within the supply chain ecosystem. As per Future Market Insights (FMI), South Korea and Japan are anticipated to record 12.6% and 12.8% CAGRs, respectively from 2023 to 2033.
A few other drivers pushing IoT in supply chain demand globally:
| Attributes | Key Insights |
|---|---|
| IoT in Supply Chain Market Estimated Size (2023E) | US$ 12.4 billion |
| Projected Market Valuation (2033F) | US$ 41.8 billion |
| Value-based Market CAGR (2018 to 2022) | 15.5% |
| Value-based Market CAGR (2023 to 2033) | 12.9% |
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The global IoT in supply chain market showcased an astonishing CAGR of 15.5% from 2018 to 2022. It is projected to record a CAGR of 12.9% from 2023 to 2033.
Demand for IoT in supply chain has witnessed a significant rise in the past due to various factors. One vital factor is increasing complexity and globalization of supply chains. As supply chains become more intricate with multiple touchpoints and global operations, there is a growing need for real-time visibility and tracking of goods & assets.
IoT technology provides the capability to monitor and track shipments throughout the supply chain. It further enables companies to have accurate and up-to-date information on the location & condition of their products, which is projected to drive its demand.
Rising customer expectations have played a crucial role in propelling the demand for IoT in supply chain. Customers today expect faster and more accurate deliveries, and IoT devices can help meet these expectations. By leveraging IoT sensors and data, companies can optimize their logistics and transportation processes, ensuring timely delivery and improving customer satisfaction.
Another factor contributing to increased demand for IoT in supply chain is the pressure to reduce costs and enhance operational efficiency. IoT technology offers the potential to streamline operations, automate manual tasks, and optimize resource utilization. With real-time data and analytics provided by IoT devices, companies can make data-driven decisions, identify bottlenecks, and implement improvements to enhance efficiency and reduce costs.
With growing complexity of supply chains, there is a rising demand for real-time visibility into inventory, assets, and shipments. IoT devices and sensors enable the collection of data at various points in the supply chain. It helps in providing accurate and timely information on location, condition, and performance.
IoT sensors and RFID or radio frequency identification tags are being deployed to track & monitor automotive components, parts, and finished goods throughout the supply chain. Real-time visibility allows manufacturers to accurately track inventory levels, identify bottlenecks, optimize warehouse operations, and ensure timely delivery of parts to assembly lines. Demand for these features are on the rise, which is further expected to bolster the market.
IoT devices are also used to monitor and track automotive components & sub-assemblies during production. Real-time data collection and analysis would enable quality control checks, identifying defects or deviations from standards.
IoT-enabled traceability systems also allow manufacturers to track the origin and history of each component. Hence, manufacturers would be able to ensure compliance with regulatory standards and enable efficient recalls if necessary.
IoT sensors are also used to monitor temperature, humidity, and other environmental conditions in refrigerated storage, transportation vehicles, and warehouses. Ability of real-time data collection and alerts to help maintain perishable goods such as fresh produce or frozen products would support growth. These can keep such goods within the required temperature range to prevent spoilage and maintain food safety.
In 2019, the global food consumption was around 2.4 billion metric tons. It increased to around 2.5 billion metric tons by 2022. It is projected to elevate to about 3 billion metric tons by 2026. With increasing food consumption around the world, it is estimated that adoption of IoT in supply chain would surge during the assessment period.
Principal Consultant
Need to Improve Operational Efficiency to Push IoT in Supply Chain Management in the United States
The United States IoT in supply chain market is expected to be worth US$ 8.4 billion by 2033. It is projected to create an absolute dollar growth of US$ 5.9 billion till 2033.
The United States market recorded steady growth at a CAGR of 15.4% from 2018 to 2022. It is estimated to surge at a CAGR of 12.9% from 2023 to 2033.
United States-based companies are increasingly seeking to improve operational efficiency. IoT enables the seamless integration of various supply chain processes and provides real-time data.
It enables companies to optimize their operations, automate manual tasks, and reduce errors & delays. With IoT, companies can track and monitor inventory levels, location, and condition of goods, leading to better decision-making and resource utilization. It is further expected to push the market.
There is a strong need for increased visibility and transparency in supply chain operations across the United States. IoT devices provide real-time data and insights, allowing companies to have a comprehensive view of their supply chain activities.
Transparency enables better planning, reduces uncertainties, and facilitates faster issue resolution. Companies can hence track shipments, monitor inventory levels, and gain insights into various parameters. This is another crucial factor that is estimated to push the United States market.
Collaborations among Stakeholders in the United Kingdom to Foster IoT in Supply Chain and Logistics
The United Kingdom IoT in supply chain market is set to be worth US$ 1.6 billion by 2033. It is likely to create an absolute dollar opportunity of US$ 1.1 billion till 2033.
The United Kingdom market witnessed growth at a CAGR of 15.2% from 2018 to 2022. It is expected to surge at a CAGR of 12.5% from 2023 to 2033.
Collaboration among stakeholders, including businesses, technology providers, and academia, can accelerate IoT adoption in supply chain. Partnerships that foster knowledge sharing, research & development, and collaborative pilot projects are set to drive the extent of adoption in the United Kingdom.
Readiness of supply chain companies in the United Kingdom to adopt IoT would play a vital role. Awareness and understanding of the potential benefits of IoT, along with the willingness to invest in new technologies, can determine the extent of adoption.
Availability and quality of technological infrastructure such as high-speed internet connectivity and reliable communication networks, are essential for IoT implementation. Adequate infrastructure in the United Kingdom can facilitate seamless integration of IoT devices and support the collection & transmission of real-time data.
E-commerce Firms in China to Demand Innovative IoT Solutions in Supply Chain
China IoT in supply chain market is expected to surpass a value of US$ 10.4 billion by 2033. It is projected to create an absolute dollar growth of US$ 7.3 billion till 2033.
China registered a considerable CAGR of 15.3% from 2018 to 2022. It is predicted to expand at a CAGR of 12.7% from 2023 to 2033.
China's position as a global manufacturing hub would create a strong demand for IoT solutions in supply chain. IoT technologies can help monitor & control manufacturing processes, enhance quality control, and enable predictive maintenance, improving productivity and reducing costs.
China's booming e-commerce sector would present a significant opportunity for IoT adoption in supply chain. Increasing volume of online retail transactions and need for efficient logistics & warehousing operations might augment demand for IoT-enabled solutions. These would be needed to optimize processes, enhance tracking capabilities, and improve delivery efficiency.
Hardware Devices to Find Extensive Usage for IoT in Supply Chain Globally
The hardware segment by component is projected to dominate the global IoT in supply chain market in the next ten years. It is anticipated to witness growth at a CAGR of 15.2% from 2018 to 2022. It is expected to surge at a CAGR of 12.7% from 2023 to 2033.
In IoT in the supply chain, various hardware components are instrumental in enabling seamless connectivity and data exchange across the supply chain ecosystem. Availability of new hardware devices that are designed to capture, monitor, and transmit real-time data from physical objects and environments would aid sales. These can further lead to enhanced visibility, efficiency, and informed decision-making.
One of the crucial hardware components is sensors, which can detect and measure physical parameters such as temperature, humidity, pressure, and location. Need to collect real-time valuable data is a significant factor that is likely to compel firms to affix them to products, vehicles, or infrastructure.
RFID or radio frequency identification tags also play a significant role. These small electronic tags possess unique identifiers and can be attached to products, pallets, or containers. They are set to facilitate automated identification and tracking throughout the supply chain. Those companies looking to improve their inventory management and maintain asset tracking are expected to adopt RFID tags.
Utilization of global positioning system (GPS) trackers would rise as they would help to provide valuable location data, enabling real-time visibility into shipments during transit and facilitating estimation of arrival times. Additionally, gateways would serve as intermediary devices, efficiently collecting data from multiple sensors and securely transmitting it to backend systems.
Communication devices such as cellular modems and Wi-Fi modules would also experience high demand. These can ensure seamless and secure data transmission between various devices, sensors, and backend systems, which would push their demand.
IoT in Supply Chain to be Used for Inventory and Warehouse Management
In terms of application, the inventory and warehouse management segment is projected to elevate at a CAGR of 12.5% from 2023 to 2033. It showcased a CAGR of 15.3% from 2018 to 2022.
Increasing complexity and scale of supply chains have led to a greater need for real-time visibility and tracking of inventory. IoT enables organizations to gather accurate and up-to-date information about inventory levels, locations, and movements, facilitating efficient inventory management and ensuring timely replenishment. It is projected to hence support their demand.
Need for improved operational efficiency and cost reduction is also accelerating demand for IoT in inventory and warehouse management. By leveraging IoT technology, organizations can automate various processes, optimize storage space utilization, and minimize manual labor. This results in streamlined operations, reduced errors, and lower operational costs.
Companies with perishable or sensitive products such as food and pharmaceuticals require precise monitoring of environmental conditions. IoT enables continuous monitoring of factors such as temperature, humidity, and storage conditions. It ensures that products are stored in optimal conditions to maintain quality and prevent spoilage or damage, which would aid sales.
Trend toward omnichannel retailing and increasing customer expectations for fast & accurate deliveries are also expected to fuel demand for IoT in inventory and warehouse management. IoT enables organizations to track inventory across multiple channels and locations, ensuring that products are available when and where they are needed. This would help to improve order fulfillment processes, reduce stock outs, and enhance customer satisfaction.
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There are well-known technology giants that have a strong presence in the IoT space and offer end-to-end IoT solutions for the supply chain. Companies such as IBM, Microsoft, and Oracle provide IoT platforms, cloud infrastructure, and analytics tools. They often have a wide range of industry partnerships and a strong customer base, positioning them as key players in the competitive landscape.
There are specialized IoT solution providers in the market that focus specifically on the supply chain sector. Savi Technology and Roambee, for instance, offer IoT-enabled tracking and monitoring solutions tailored to supply chain operations.
They provide hardware devices, connectivity, and software platforms that enable real-time visibility, predictive analytics, and optimization of supply chain processes. These players often have in-depth domain expertise and a deep understanding of specific challenges & requirements of supply chain management.
A few recent developments in the IoT in supply chain market are
| Attributes | Details |
|---|---|
| Estimated Market Size (2023) | US$ 12.4 billion |
| Projected Market Valuation (2033) | US$ 41.8 billion |
| Value-based CAGR (2023 to 2033) | 12.9% |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Value (US$ billion) |
| Segments Covered | Component, Application, End User, Region |
| Key Regions Covered | North America; Latin America; Europe; Asia Pacific; Middle East and Africa |
| Key Countries Covered | United States, Canada, Brazil, Mexico, rest of Latin America, China, Japan, South Korea, India, Association of Southeast Asian Nations, Oceania, Germany, Italy, France, United Kingdom, Spain, BENELUX, Nordics, Rest of Western Europe, Poland, Hungary, Romania, Czech Republic, Central Asia, Russia & Belarus, Balkan & Baltics, GCC Countries, Türkiye, Northern Africa and South Africa |
| Key Companies Profiled | Cisco Systems Inc.; IBM Corporation; SAP SE; Oracle Corporation; Intel Corporation; Microsoft Corporation; Huawei Technologies Co. Ltd; Amazon Web services; Siemens AG; Zebra Corporation |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
The IoT in supply chain market’s net worth is expected to be US$ 12.4 billion in 2023.
The projected market value of IoT in supply chain is US$ 41.8 billion by 2033.
Surging demand for real-time visibility into assets, inventory, and shipments.
China is expected to hold a massive market value of US$ 10.4 billion by 2033.
Cisco Systems Inc., IBM Corporation, and SAP SE are the leading companies.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ billion) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ billion) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ billion) Analysis By Component , 2018 to 2022
5.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Component , 2023 to 2033
5.3.1. Hardware
5.3.2. Software
5.3.3. Services
5.4. Y-o-Y Growth Trend Analysis By Component , 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component , 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ billion) Analysis By Application, 2018 to 2022
6.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By Application, 2023 to 2033
6.3.1. Inventory and Warehouse Management
6.3.2. Fleet and Transportation Management
6.3.3. Demand and Supply Planning
6.3.4. Cold Chain Management
6.3.5. Track and Trace
6.3.6. Predictive Maintenance
6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ billion) Analysis By End User , 2018 to 2022
7.3. Current and Future Market Size Value (US$ billion) Analysis and Forecast By End User , 2023 to 2033
7.3.1. Manufacturing
7.3.2. Retail and E-commerce
7.3.3. Healthcare and Pharmaceuticals
7.3.4. Automotive
7.3.5. Aerospace and Defense
7.3.6. Food and Beverage
7.4. Y-o-Y Growth Trend Analysis By End User , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By End User , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ billion) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ billion) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. South Asia
8.3.5. East Asia
8.3.6. Oceania
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. United States
9.2.1.2. Canada
9.2.2. By Component
9.2.3. By Application
9.2.4. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Component
9.3.3. By Application
9.3.4. By End User
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Component
10.2.3. By Application
10.2.4. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Application
10.3.4. By End User
10.4. Key Takeaways
11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. United Kingdom
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Component
11.2.3. By Application
11.2.4. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Application
11.3.4. By End User
11.4. Key Takeaways
12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Malaysia
12.2.1.3. Singapore
12.2.1.4. Thailand
12.2.1.5. Rest of South Asia
12.2.2. By Component
12.2.3. By Application
12.2.4. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Application
12.3.4. By End User
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Component
13.2.3. By Application
13.2.4. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Application
13.3.4. By End User
13.4. Key Takeaways
14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Australia
14.2.1.2. New Zealand
14.2.2. By Component
14.2.3. By Application
14.2.4. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Application
14.3.4. By End User
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ billion) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ billion) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of Middle East and Africa
15.2.2. By Component
15.2.3. By Application
15.2.4. By End User
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Component
15.3.3. By Application
15.3.4. By End User
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. United States
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Component
16.1.2.2. By Application
16.1.2.3. By End User
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Component
16.2.2.2. By Application
16.2.2.3. By End User
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Component
16.3.2.2. By Application
16.3.2.3. By End User
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Component
16.4.2.2. By Application
16.4.2.3. By End User
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Component
16.5.2.2. By Application
16.5.2.3. By End User
16.6. United Kingdom
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Component
16.6.2.2. By Application
16.6.2.3. By End User
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Component
16.7.2.2. By Application
16.7.2.3. By End User
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Component
16.8.2.2. By Application
16.8.2.3. By End User
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Component
16.9.2.2. By Application
16.9.2.3. By End User
16.10. India
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Component
16.10.2.2. By Application
16.10.2.3. By End User
16.11. Malaysia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Component
16.11.2.2. By Application
16.11.2.3. By End User
16.12. Singapore
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Component
16.12.2.2. By Application
16.12.2.3. By End User
16.13. Thailand
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Component
16.13.2.2. By Application
16.13.2.3. By End User
16.14. China
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Component
16.14.2.2. By Application
16.14.2.3. By End User
16.15. Japan
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Component
16.15.2.2. By Application
16.15.2.3. By End User
16.16. South Korea
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Component
16.16.2.2. By Application
16.16.2.3. By End User
16.17. Australia
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Component
16.17.2.2. By Application
16.17.2.3. By End User
16.18. New Zealand
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Component
16.18.2.2. By Application
16.18.2.3. By End User
16.19. GCC Countries
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Component
16.19.2.2. By Application
16.19.2.3. By End User
16.20. South Africa
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Component
16.20.2.2. By Application
16.20.2.3. By End User
16.21. Israel
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Component
16.21.2.2. By Application
16.21.2.3. By End User
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Component
17.3.3. By Application
17.3.4. By End User
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Cisco Systems Inc.
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. IBM Corporation
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. SAP SE
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Oracle Corporation
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Intel Corporation
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Microsoft Corporation
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Huawei Technologies Co. Ltd.
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Amazon Web Services Inc.
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Siemens AG
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Zebra Technologies Corporation
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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IoT in Supply Chain Market
