ビジネス回帰はエッジと共に　2022年

出版：Mind Commerce（マインドコマース）　出版年月：2022年3月

Getting Back to Business with EDGE 2022: Market Survey Results and Report
ビジネス回帰はエッジと共に　2022年：市場調査結果と報告

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Mind Commerce「ビジネス回帰はエッジと共に　2022年：市場調査結果とレポート – Getting Back to Business with EDGE 2022: Market Survey Results and Report」はエッジコンピューティングをテーマに行った5,012名の就労者と2,736名のITリーダーおよび購買者からの調査結果を基にまとめられています。

Mind Commerceによる主な調査結果

• 回答者のほぼ半数がデジタルツインについて聞いたことがない。
• 2,736名の技術意思決定者が一番関心があるものとしてセキュリティを挙げた。
• 回答者の78％が自社のビジネスにおいてアプリケーションやユースケースのために5Gが利用中あるいは検討されていると考えている。
• 人々と他者（患者、顧客、購買者）が遠隔でつながることがエッジコンピューティングの主なユースケースである。
• 回答者の57％以上が所属組織が構内無線の利用を検討していることが調査で明らかになった。
• エッジコンピューティング、AI、IoTのコンビネーションにより、特に中規模企業、大企業、政府にとってのデジタルトランスフォーメーションのメリットを劇的に増加する可能性がある。
• 回答者のほぼ35％がエッジコンピューティングについて聞いたことがないと回答し、20.6％は聞いたことがある気があると回答した。しかしながら、中規模および大規模組織はエッジコンピューティングについてはよく知っていると回答した。

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• Cloud Computing in Industrial IoT: Market for Cloud support of IIoT by Software, Platforms, Infrastructure (SaaS, PaaS, and IaaS) including Centralized Cloud Edge Computing for Devices and Things 2022 – 2027
• Mobile Edge Computing Market by Infrastructure, Deployment Model, Computing as a Service, Network Connectivity, Applications, Analytics Types, Market Segments and Industry Verticals 2022 – 2027
• LTE and 5G Applications and Services Market by Service Provider Type (MNO, OTT, End-user), Connection Type, Deployment Type (Public and Private Virtualized, Dedicated, and Hybrid), Use Cases, 5G Service Category (eMBB, mMTC, URLLC), Computing as a Service (Public, Private, Hybrid), Industry Verticals, Region and Country 2022 – 2027
• Sixth Generation Wireless by 6G Technology Development (Investment, R&D and Testing) and 6G Market Commercialization (Infrastructure, Deployment, Applications and Services), Use Cases and Industry Verticals 2022 – 2030

Overview

This represents a market study, trends report, and survey that includes feedback, executive insights, market direction and market intelligence.

The study included a survey with 5,012 business workers and 2,736 IT leaders and buyers. Respondent base included a cross section across size of business and industry, job function/title, department, and zip code. In addition, the respondent base could be part of a one location business or one with multiple locations.

The edge computing survey and report was a collaborative effort between industry-leading analyst firms. The primary sponsor of this research was Hewlett Packard Enterprise. Key topics include edge computing use cases and applications, priorities and investment areas, pandemic impact, and plans this year.

Select Research Findings:

• Nearly 50% of overall respondents have never heard of digital twins
• Security is the top concern for 2,736 technology decision makers surveyed
• 78% of respondents see 5G being used or considered for varying applications/use cases in their business
• Connecting people remotely to others (patients, customers, buyers) is a key use case for edge computing
• Over 57% overall of those surveyed indicating that their organizations are exploring and considering using private wireless for their business
• The combination of edge computing, AI and IoT has the potential to dramatically accelerate the benefits of digital transformation, particularly with mid-sized business, corporations and government
• Nearly 35% of all overall respondents claimed to have never heard of edge computing with 20.6% feeling only slightly aware of it. However, midsize and enterprise organizations claimed to have a greater familiarity with edge computing.

Traditional Centralized Cloud vs. Edge Computing

While cloud computing in its initial form represents centralized computational resources, edge computing architecture allows for higher performance distributed edge applications by allowing endpoint devices to offload workloads and to edge compute resources located in proximity. This is important for specific use cases and applications, which we explore in a later section.

At its core, cloud computing remains true to its roots: “Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, one can access technology services, such as computing power, storage, and databases, on an as-needed basis” (Amazon). However, there is a need for enterprise and industrial verticals to enjoy cloud-based ‘as a service’ business models in a manner in which computing is not by necessity centralized.

The emergence of bandwidth intensive, latency sensitive applications has given rise to the need for even greater flexibility and performance. Enterprise apps, such as autonomous vehicles and UAVs, and industrial solutions, such as factory optimization and cloud robotics, have high throughput requirements.

Edge computing brings about massive business transformation opportunities across three primary business segments:

1. General Enterprise (Non-Industrial): This group of industries includes all industries except for the industrial and public sector (i.e. Healthcare, Retail, Hospitality, Communications, Professional Services, General Services, Finance, Real Estate, and others).
2. Industrial: This group of vertical markets includes oil/gas/energy, utilities, manufacturing, process plants, heavy machinery, mining, chemicals, construction, and hazardous materials.
3. Public Sector: This group includes federal (defense and civilian) government, state government, local government including public safety (law enforcement, emergency management, and fire safety), K-12 education and higher education.

Automation will be the leading driver due to key trends and business indicators including the skills gap of the overall workforce (and availability), the need to scale, and the continued push to advance business operations and enhance customer experiences.

Report Benefits:

Survey findings and report will help the reader understand the edge computing market and identify end-users and tech decision-makers opinions and perspectives with respect to key topics with a focus on edge computing, edge analytics, fixed/private wireless, use cases, business apps, and other leading topics that impact growth, adoption, scaling and budgets.

Survey and report benefits include:

• Support strategic planning, sales & marketing
• Gain latest trends and insights
• Hear feedback from the business workforce
• Gather insights from buyers and decision-makers
• Explore use cases and business value drivers
• Learn about related and emerging technologies
• Understand awareness and buying habits/trends
• Explore recommendations & business plans
• Leverage insights for business development and partnerships

Additional Benefits

Buyers will also receive a company-wide License of additional research of the purchaser’s choosing, which may include any one of the following related reports:

• Cloud Computing in Industrial IoT: Market for Cloud support of IIoT by Software, Platforms, Infrastructure (SaaS, PaaS, and IaaS) including Centralized Cloud Edge Computing for Devices and Things 2022 – 2027
• Mobile Edge Computing Market by Infrastructure, Deployment Model, Computing as a Service, Network Connectivity, Applications, Analytics Types, Market Segments and Industry Verticals 2022 – 2027
• LTE and 5G Applications and Services Market by Service Provider Type (MNO, OTT, End-user), Connection Type, Deployment Type (Public and Private Virtualized, Dedicated, and Hybrid), Use Cases, 5G Service Category (eMBB, mMTC, URLLC), Computing as a Service (Public, Private, Hybrid), Industry Verticals, Region and Country 2022 – 2027
• Sixth Generation Wireless by 6G Technology Development (Investment, R&D and Testing) and 6G Market Commercialization (Infrastructure, Deployment, Applications and Services), Use Cases and Industry Verticals 2022 – 2030

目次

Table of Contents (core report)

1. What is Edge?
2. Top Ten Survey Findings
3. Survey Methodology
4. The Evolving Edge
5. The Enablers of the Edge
6. The Edge Survey Results
7. The Dust Settling & Edge Impact
8. Creating Value with Edge
9. The Year Ahead in Edge
10. Buying Edge & IoT
11. Diving Deep: Strategic Insights
12. Survey Segmentation
13. Additional Reading