
Region:Global
Author(s):Abhinav kumar
Product Code:KROD1900
December 2024
89

The global edge computing market is segmented by region, component, and application.


|
Company |
Year of Establishment |
Headquarters |
|
Amazon Web Services |
2006 |
Seattle, Washington, USA |
|
Microsoft Azure |
2010 |
Redmond, Washington, USA |
|
Google Cloud |
2008 |
Mountain View, California, USA |
|
IBM |
1911 |
Armonk, New York, USA |
|
Cisco Systems |
1984 |
San Jose, California, USA |
The global edge computing market is expected to witness significant growth by 2028, driven by advancements in AI, 5G technology, and the increasing adoption of IoT devices. As industries across the globe prioritize real-time data processing, edge computing will play a crucial role in enabling low-latency applications and optimizing operational efficiency.
|
Component |
Hardware Software Services |
|
Application |
Manufacturing Telecom Healthcare Retail Transportation |
|
Deployment Mode |
Cloud-Based On-Premise |
|
Organization Size |
Large Enterprises Small Enterprises Medium Enterprises |
|
By Region |
North America Europe Asia-Pacific (APAC) Middle East & Africa (MEA) Latin America |
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2.1. Historical Market Size
2.2. Year-On-Year Growth Analysis
2.3. Key Market Developments and Milestones
3.1. Growth Drivers
3.1.1. Rising Adoption of IoT Devices
3.1.2. Deployment of 5G Networks
3.1.3. Integration of AI and Machine Learning
3.2. Market Challenges
3.2.1. Data Security and Privacy Concerns
3.2.2. High Infrastructure Costs
3.2.3. Lack of Standardized Protocols
3.3. Opportunities
3.3.1. Expansion of Distributed Edge Networks
3.3.2. AI-driven Predictive Maintenance Solutions
3.3.3. Partnerships with Telecom and Technology Providers
3.4. Trends
3.4.1. Integration of AI and Machine Learning at the Edge
3.4.2. Edge Computing in Smart Infrastructure and Autonomous Vehicles
3.4.3. Increased Adoption of Edge Computing in Retail and Healthcare
3.5. Government Regulation
3.5.1. European Union’s Horizon Europe Program
3.5.2. India’s National Investment and Infrastructure Fund (NIIF) Initiative
3.5.3. Data Privacy and Cybersecurity Regulations
3.6. SWOT Analysis
3.7. Porter’s Five Forces
3.8. Stake Ecosystem
3.9. Competition Ecosystem
4.1. By Region (In Value %)
4.1.1. North America
4.1.2. Europe
4.1.3. Asia-Pacific (APAC)
4.1.4. Middle East & Africa (MEA)
4.1.5. Latin America
4.2. By Component (In Value %)
4.2.1. Hardware
4.2.2. Software
4.2.3. Services
4.3. By Application (In Value %)
4.3.1. Manufacturing
4.3.2. Telecom
4.3.3. Healthcare
4.3.4. Retail
4.3.5. Transportation
4.4. By Deployment Mode (In Value %)
4.4.1. Cloud-Based
4.4.2. On-Premise
4.5. By Organization Size (In Value %)
4.5.1. Large Enterprises
4.5.2. Small Enterprises
4.5.3. Medium Enterprises
5.1 Detailed Profiles of Major Companies
5.1.1. Amazon Web Services (AWS)
5.1.2. Microsoft Azure
5.1.3. Google Cloud
5.1.4. IBM
5.1.5. Cisco Systems
5.1.6. Huawei Technologies
5.1.7. Dell Technologies
5.1.8. Hewlett Packard Enterprise (HPE)
5.1.9. NVIDIA Corporation
5.1.10. Siemens AG
5.1.11. Schneider Electric
5.1.12. EdgeConneX
5.1.13. Intel Corporation
5.1.14. AT&T
5.1.15. Verizon Communications
5.2 Cross Comparison Parameters (No. of Employees, Headquarters, Inception Year, Revenue, Partnerships, Cloud-to-Edge Integration, AI and ML Capability, Edge Infrastructure, Industry Focus)
5.3. Market Share Analysis
5.4. Strategic Initiatives
5.5. Mergers And Acquisitions
5.6. Investment Analysis
5.7. Venture Capital Funding
5.8. Government Grants
5.9. Private Equity Investments
6.1. Data Privacy Laws and Compliance
6.2. Cybersecurity Regulations
6.3. Certification Standards for Edge Computing
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8.1. By Component (In Value %)
8.2. By Application (In Value %)
8.3. By Deployment Mode (In Value %)
8.4. By Organization Size (In Value %)
8.5. By Region (In Value %)
9.1. TAM/SAM/SOM Analysis
9.2. Customer Cohort Analysis
9.3. Market Expansion Strategies
9.4. White Space Opportunity Analysis
Ecosystem creation for all the major entities and referring to multiple secondary and proprietary databases to perform desk research around the Market to collate Market-level information.
Collating statistics on the global edge computing market over the years, and analyzing the penetration of Marketplaces as well as the ratio of service providers to compute the revenue generated for the market. We will also review service quality statistics to understand the revenue generated which can ensure accuracy behind the data points shared.
Building Market hypotheses and conducting CATIs with Market experts belonging to different companies to validate statistics and seek operational and financial information from company representatives.
Our team will approach multiple edge computing companies to understand the nature of service segments, consumer preferences, and other parameters. This supports validating statistics derived through a bottom-to-top approach from these edge computing companies, ensuring accuracy and reliability in the report.
The global edge computing market was valued at USD 14.80 billion in 2023. This market is driven by the increasing demand for low-latency data processing, the rise in IoT devices, and the rapid expansion of 5G networks, enabling real-time applications across various industries.
Challenges in the global edge computing market include data privacy concerns, high infrastructure costs for edge devices and networks, and the lack of standardized protocols. These issues create barriers to adoption and pose difficulties in scaling edge computing solutions across different industries.
Key players in the global edge computing market include Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and IBM. These companies dominate the market due to their strong cloud-to-edge solutions, extensive global reach, and continuous investment in innovative edge computing technologies.
The global edge computing market is propelled by the increasing adoption of 5G networks, the rapid rise of IoT devices, and the integration of AI at the edge. These factors enhance real-time data processing and are crucial for industries like healthcare, manufacturing, and telecommunications.
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