Accenture plc (ACN): A Good Edge Computing Stock to Buy Now? - InvestingChannel

Accenture plc (ACN): A Good Edge Computing Stock to Buy Now?

We recently compiled a list of the Edge Computing Market Size and 7 Best Stocks To Buy. In this article, we are going to take a look at where Accenture plc (NYSE:ACN) stands against the other edge computing stocks.

What is Edge Computing?

The information technology sector has consistently outperformed investor and analyst expectations in 2023, and this trend appears to be continuing into the current year. This impressive performance can largely be attributed to significant advancements such as the rise of artificial intelligence (AI) and generative AI, which have driven tech stock prices to unprecedented highs. Of course, AI is not the only area that is revolutionizing the technology space. Edge Computing comes in as another compelling area of growth and investment. Also known as Mobile Edge Computing (MEC) or Multi-Access Edge Computing, Edge Computing focuses on bringing computing power closer to where data is generated, rather than relying on a centralized cloud-based system. In layman’s terms, Edge Computing involves relocating part of the storage and computing capabilities from a central data center to locations near the data sources.

By keeping computational capacity close to users, devices, or data sources, edge solutions offer benefits such as reduced latency, increased bandwidth, local device processing, and data offloading. For instance, smart speakers perform minimal computational work, sending requests to servers owned by the provider. With Edge Computing, smart speakers could process a user’s request entirely on the device itself. Gartner, in its March 2024 Market Guide for Edge Computing, states:

“By placing data, data management capabilities and analytic workloads at optimal points, ranging all the way to endpoint devices, enterprises can enable more real-time use cases. In addition, the flexibility to move data management workloads up and down the continuum from centralized data centers or from the cloud-to-edge devices will enable greater optimization of resources.”

Edge Computing with the Internet-of-Things & Artificial Intelligence

The automotive industry is a prime example of rapid advancements driven by edge computing and artificial intelligence (AI) integration in recent years. As vehicles evolve to incorporate self-driving capabilities, these technologies have become essential for effective decision-making and real-time responses. For instance, Tesla leverages extensive real-world driving data to refine its AI algorithms for autonomous driving. The rollout of EV maker’s Full Self-Driving (FSD) beta software to more drivers highlights its performance in real-world conditions, with the vast amount of visual data collected during these drives enhancing the company’s AI learning process.

Furthermore, the advent and adoption of 5G, the fifth generation of cellular network technologies offering substantially greater bandwidth, is accelerating the growth of Internet-of-Things (IoT) and facilitating the widespread adoption of edge computing. With 5G networks enabling lightning-fast speeds and a greater number of connected devices, data volumes are expected to surge. Predictions state that by 2025, every connected person will interact with digital data at least once every 18 seconds, largely due to the billions of IoT devices projected to generate over 90 zettabytes of data by then.

Edge Computing Market to Reach $217 Billion by 2032

According to a report by Fortune Business Insights, the global edge computing market was valued at $15.96 billion in 2023 and is projected to grow from $21.41 billion in 2024 to $216.76 billion by 2032, at a compound annual growth rate of 33.6% over the forecast period. This growth is fueled by the increasing adoption of edge devices, ranging from IoT devices such as mobile point-of-sale kiosks and smart cameras to computational infrastructure that enables faster and real-time data analysis at the source. On the other hand, PwC projects that the global market for edge data centers will nearly triple, growing from $4 billion in 2017 to $13.5 billion this year. This expansion is driven by the potential of locally situated data centers to reduce latency, manage intermittent connections, and facilitate data storage and computation close to end-users.

With these details in mind, let’s take a look at some of the best edge computing stocks to buy now.

Our Methodology

For our list of the best edge computing stocks, We began by sifting through ETFs’ holdings and online rankings to gather a preliminary list of 15 stocks. We then scanned Insider Monkey’s first-quarter database which tracks 920 elite money managers and selected the top seven that were the most widely held by hedge funds.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

A team of data experts gathered around a computer monitor analyzing customer data.

Accenture plc (NYSE:ACN)

Number of Hedge Fund Holders: 57

Accenture plc (NYSE:ACN) is an Ireland-based information technology company that enables businesses to digitally transform their operations by offering a wide range of services and solutions, including strategy, consulting, digital, and technology. The “Accenture One Edge Platform” is a unified asset platform that acts as Accenture plc (NYSE:ACN)’s approach to providing a centrally manageable Cloud-Edge-IoT computing continuum.

According to Insider Monkey’s first-quarter database, 57 hedge funds held long positions in Accenture plc (NYSE:ACN), down slightly from the 58 in the previous quarter. GuardCap Asset Management is the largest stakeholder in the company, with 1.75 million shares valued at $609.7 million.

ClearBridge International Growth EAFE Strategy stated the following regarding Accenture plc (NYSE:ACN) in its fourth quarter 2023 investor letter:

“Another welcome change has been the recognition of generative artificial intelligence (AI) opportunities for companies outside the U.S. While our IT holdings trailed their mega cap U.S. counterparts for most of the year, semiconductor equipment makers ASML and Tokyo Electron, which we consider enablers of AI, as well as enterprise software maker SAP and IT consultant Accenture plc (NYSE:ACN), which we see as facilitators of AI adoption in new product lines and/or enhanced business models, rose strongly in the quarter. These companies are rolling out new, AI-enhanced products at higher prices which should positively impact earnings in the near term.”

Not everyone is bullish on Accenture though. Deutsche Bank recently downgraded the consulting company. Deutsche Bank noted that Accenture had been a prominent share gainer in the IT services industry for most of its history. However, the bank expressed concern that the company’s recent performance, particularly the estimated 2.5% decline in organic revenues during fiscal Q2, indicated a shift in its market position. This shift led Deutsche Bank to downgrade Accenture’s rating from Buy to Hold and lower its price target to $295 from $409.

Overall ACN ranks 7th on our list of the best edge computing stocks to buy. You can visit Edge Computing Market Size and 7 Best Stocks To Buy to see the other edge computing stocks that are on hedge funds’ radar. While we acknowledge the potential of ACN as an investment, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. If you are looking for an AI stock that is as promising as ACN but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

 

READ NEXT: Analyst Sees a New $25 Billion “Opportunity” for NVIDIA and Jim Cramer is Recommending These 10 Stocks in June.

 

Disclosure: None. This article is originally published at Insider Monkey.

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