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During the projection period, the Edge computing market is expected to grow at a Compound Annual Growth Rate (CAGR) of 13.0%, rising from USD 60.0 billion in 2024 to USD 110.6 billion in 2029. Enhanced data security, lower latency, higher bandwidth gains across verticals, organisations, and locations worldwide, as well as increased acceptance of digital transformation initiatives, are projected to drive the global Edge computing market.

The edge computing market is experiencing significant growth, driven by several key factors:

• Proliferation of IoT Devices
• Rise of 5G Networks
• Demand for Real-Time Data Processing
• Increasing Data Volumes
• Enhanced Security and Privacy
• Cost Optimization
• Emergence of AI and ML at the Edge
• Industry-specific Use Cases

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Proliferation of IoT Devices: The increasing adoption of Internet of Things (IoT) devices across various industries is driving the demand for edge computing. Edge computing enables IoT devices to process data locally, reducing latency and bandwidth usage by avoiding the need to transmit all data to centralized cloud servers.

Rise of 5G Networks: The rollout of 5G networks is accelerating the adoption of edge computing. 5G's high-speed, low-latency capabilities make it ideal for supporting edge computing applications that require real-time processing, such as autonomous vehicles, smart cities, and augmented reality (AR)/virtual reality (VR).

Demand for Real-Time Data Processing: Industries such as manufacturing, healthcare, retail, and transportation require real-time data processing and analysis for critical decision-making and operational efficiency. Edge computing enables organizations to process data closer to the source, reducing latency and enabling faster insights.

Increasing Data Volumes: The exponential growth of data generated by devices, sensors, and applications is driving the need for more efficient data processing and management solutions. Edge computing helps alleviate the strain on centralized cloud infrastructure by offloading processing tasks to edge devices and local servers.

Enhanced Security and Privacy: Edge computing offers improved security and privacy compared to traditional cloud-based solutions. By processing sensitive data locally, organizations can reduce the risk of data breaches during transit to centralized servers. Additionally, edge computing enables data anonymization and compliance with data privacy regulations.

Cost Optimization: Edge computing can help organizations optimize costs associated with data transmission, storage, and processing. By processing and analyzing data locally, organizations can reduce bandwidth costs and minimize reliance on expensive centralized cloud infrastructure.

Emergence of AI and ML at the Edge: The integration of artificial intelligence (AI) and machine learning (ML) capabilities at the edge is opening up new possibilities for intelligent edge applications. Edge computing enables AI/ML models to process data in real-time, enabling predictive analytics, anomaly detection, and other advanced use cases.

Industry-specific Use Cases: Different industries have unique requirements and use cases that benefit from edge computing. For example, in manufacturing, edge computing enables predictive maintenance and process optimization, while in healthcare, it facilitates remote patient monitoring and personalized medicine.

These growth drivers are collectively fueling the expansion of the edge computing market, making it a crucial technology for enabling the next wave of digital transformation across industries.

Edge Computing Share - Global Industry Landscape

• IBM (US)
• HPE (US) (Hewlett Packard Enterprise)
• Google (US)
• NVIDIA (US)
• AWS (US) (Amazon Web Services)
• Cisco (US)

IBM (US):

Market Share: IBM is a significant player in various technology sectors, including cloud computing, artificial intelligence, and enterprise solutions. In the cloud computing space, IBM holds a notable market share, particularly in hybrid cloud and enterprise-grade solutions.

Key Offerings: IBM offers a range of cloud services through its IBM Cloud platform, including infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and hybrid cloud solutions. IBM also provides AI and analytics solutions, blockchain technology, cybersecurity services, and industry-specific solutions for sectors such as healthcare, finance, and manufacturing.

HPE (US) (Hewlett Packard Enterprise):

Market Share: HPE is a leading provider of enterprise IT infrastructure solutions, including servers, storage, networking, and cloud services. It holds a significant market share in the enterprise hardware and cloud infrastructure markets.

Key Offerings: HPE offers a comprehensive portfolio of products and services, including servers, storage solutions, networking equipment, converged infrastructure, hyper-converged infrastructure (HCI), edge computing solutions, hybrid cloud management software, and professional services for data center modernization, hybrid IT, and digital transformation.

Google (US):

Market Share: Google Cloud Platform (GCP) is one of the major players in the cloud computing market, although it trails behind Amazon Web Services (AWS) and Microsoft Azure in terms of market share. However, Google has been gaining momentum, particularly in areas such as AI and machine learning.

Key Offerings: Google Cloud Platform offers a wide range of cloud services, including compute, storage, databases, networking, big data, analytics, machine learning, AI, internet of things (IoT), security, and developer tools. Google also provides G Suite for collaboration and productivity, as well as Google Workspace for enterprise email, file storage, and communication.

NVIDIA (US):

Market Share: NVIDIA is a dominant player in the graphics processing unit (GPU) market and has been expanding its presence in AI, machine learning, and accelerated computing.

Key Offerings: NVIDIA offers a range of GPUs, including those optimized for gaming, professional visualization, data center, AI, and high-performance computing (HPC). NVIDIA's AI and machine learning solutions include the NVIDIA AI Enterprise software suite, NVIDIA DGX systems for AI infrastructure, NVIDIA GPU Cloud (NGC) for AI software, and CUDA parallel computing platform.

AWS (US) (Amazon Web Services):

Market Share: AWS is the leading cloud service provider, holding the largest market share in the cloud computing industry.

Key Offerings: AWS offers a vast array of cloud services, including compute, storage, databases, networking, machine learning, AI, analytics, IoT, security, and developer tools. AWS also provides solutions for industries such as healthcare, financial services, retail, and media & entertainment.

Cisco (US):

Market Share: Cisco is a prominent player in the networking and cybersecurity markets, with a significant presence in enterprise networking, data center infrastructure, and cloud networking.

Key Offerings: Cisco offers a broad portfolio of networking products and solutions, including switches, routers, wireless LAN controllers, security appliances, software-defined networking (SDN) solutions, and network management software. Cisco also provides collaboration tools, cloud-based communication services, cybersecurity solutions, and IoT connectivity solutions.

Related Reports:

Edge Computing Market by Component (Hardware, Software, Services), Application (Real-time Data Processing & Analysis, Predictive Maintenance, & Optimization), Organization Size (Large Enterprises, SMEs), Vertical and Region - Global Forecast to 2029