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Home Technology Big Data and Analytics

Edge to fuel deployment of AI applications

FutureIoT Editors by FutureIoT Editors
March 15, 2024
Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-represents-how-machine-learning-is-inspired-by-neuroscience-and-the-human-brain-it-was-created-by-novoto-studio-as-par-17483869/

Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-represents-how-machine-learning-is-inspired-by-neuroscience-and-the-human-brain-it-was-created-by-novoto-studio-as-par-17483869/

Worldwide spending on edge computing is expected to be US$232 billion in 2024, an increase of 15.4% over 2023. According to a new forecast from the IDC Worldwide Edge Spending Guide, combined enterprise and service provider spending across hardware, software, professional services, and provisioned services for edge solutions will sustain strong growth through 2027 when spending will reach nearly US$350 billion.

IDC defines edge as the information and communications technology (ICT) related actions that are performed outside of the centralized data centre, where edge is the intermediary between the connected endpoints and the core IT environment.

Characteristically, edge is distributed, software-defined, and flexible. Edge is the movement of computing resources to the physical location where data is created, transacted or stored, thereby increasing the enablement of business processes, decisions, and intelligence outside of the core IT environment.

Dave McCarthy

"Edge computing will play a pivotal role in the deployment of AI applications," said Dave McCarthy, research vice president, Cloud and Edge Services at IDC. He added that to meet scalability and performance requirements, organisations will need to adopt the distributed approach to architecture that edge computing provides. OEMs, ISVs, and service providers are taking advantage of this market opportunity by extending feature sets to enable AI in edge locations.

Across 19 enterprise industries, IDC segments edge ICT spending for more than 500 named enterprise use cases in six domains. In the service provider industry, investments for edge services delivery are built on infrastructure spending for multi-access edge computing (MEC), content delivery networks, and virtual network functions. Combined, these three use cases will account for nearly 22% of all edge spending this year.

For enterprise adopters, including the public sector, examples of edge-named use cases with large investments and rapid growth through 2027 include augmented maintenance (augmented reality), production asset management, AI-augmented supply and logistics, augmented diagnosis and treatment systems, supply chain resilience, in-home remote patient monitoring, and in-store contextualized marketing.

Examples of emerging edge use cases that are forecast to have the fastest spending growth over the 2022-2027 period include autonomous mining operations, site design and management (construction), pipeline inspection (utilities), augmented training (multiple industries), and expert shopping advisors & product recommendations (retail).

"Enterprise investments have continued to shift the past 24 months toward infrastructure expansion and greenfield deployments. Companies are acting on plans to build more robust local computing infrastructure capabilities. And through it all, customer-facing new services and products and enabling new business processes are top enterprise drivers," said Marcus Torchia, research vice president, Data & Analytics at IDC.

Marcus Torchia

"Over the next two years, the share of planned investments moderately favours MEC offerings. Yet on balance, enterprises are looking to rationalize total service provider outlays. This sets up a dynamic market of capex and opex-based edge offerings competing for investment dollars through 2027."

Marcus Torchia

Across enterprise end-user industries, the sheer size of discrete and process manufacturing will account for the largest portion of investments in edge solutions this year, followed by the retail and professional services industries.

IDC expects all 19 enterprise industries profiled in the spending guide will see five-year compound annual growth rates (CAGRs) in the low-to-mid teens over the forecast period. The service provider segment will see the greatest CAGR of 19.1%.

The largest investment share will continue to be led by hardware, at close to 40% of total spending, to build out edge capabilities especially driven by service provider infrastructure. Hardware spending will be driven by investments in edge gateways, servers, and network equipment.

Over the forecast period, adoption of provisioned services by enterprises will surge, surpassing hardware share by 2026 for the first time. Within provisioned services, connectivity and IaaS will represent the greatest share and fastest growth categories, respectively. On-premise software will be a critical component of edge infrastructure but remain the smallest category in terms of overall spending.

IDC predicts that China will experience the fastest spending growth over the five-year forecast with CAGRs of 16.2% and 15.3%, respectively.

Related:  GSMA: China is world’s largest IoT market
Tags: Artificial IntelligenceEdge Cloudedge computingIDC
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Photo by Pixabay: https://www.pexels.com/photo/20-mg-label-blister-pack-208512/

BIG Caring Group to transform pharma retailing across Malaysia

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Photo by Tima Miroshnichenko: https://www.pexels.com/photo/wood-restaurant-fashion-man-6826792/

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