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市場調查報告書

商品編碼

1260706

邊緣分析市場：當前分析和預測 (2022-2028)

Edge Analytics Market: Current Analysis and Forecast (2022-2028)

出版日期: 2023年03月01日 | 出版商:

UnivDatos Market Insights Pvt Ltd | 英文 151 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

由於互聯網普及率不斷上升，邊緣分析市場預計將以 24% 左右的速度穩定增長。邊緣分析市場的增長是由幾個因素驅動的。主要原因之一是物聯網 (IoT) 和其他數字技術的普及所產生的數據量不斷增加。例如，根據 comptia 的數據，全球物聯網支出預計將在 2022 年達到 1.2 萬億美元。隨著越來越多的設備連接到互聯網，它們將生成大量數據，這些數據可以在網絡邊緣進行實時分析。此外，邊緣分析允許企業在源點處理和分析這些數據，從而減少延遲並提高整體性能。此外，越來越多地採用雲計算以及對更快、更高效的數據處理的需求不斷增加，也推動了邊緣分析市場的增長。數據可以在網絡邊緣處理，減少需要傳輸到雲端的數據量，提高成本效益和效率。最後，人工智能 (AI) 和機器學習 (ML) 的興起也推動了邊緣分析市場的增長。這些技術依靠實時數據處理來有效運行。

根據組件，市場細分為解決方案和服務。預計服務業將以較大的複合年增長率增長。該細分市場的增長主要歸功於成本效益。此外，邊緣分析服務在製造、醫療保健、運輸和物流等行業中越來越受歡迎，在這些行業中，實時數據分析對於優化和簡化運營至關重要。例如，在製造業中，邊緣分析可用於監控設備並在停機或其他問題發生之前檢測潛在問題，預計將在預測期內推動市場。

按類型劃分，市場分為規範性分析、描述性分析、診斷性分析和預測性分析。預測分析領域預計將在 2021 年主導市場，並在預測期內保持這一勢頭。具有實時數據分析和預測能力的邊緣分析解決方案使組織能夠分析來自各種來源的實時數據，例如傳感器、物聯網設備和其他數據流，從而準確預測未來事件和趨勢。隨著對實時數據分析需求的增長，企業正在轉向具有預測能力的邊緣分析解決方案，以獲得對其運營的寶貴見□□解。

按最終用戶劃分，市場分為 BFSI、零售、能源與電力、IT、國防等。能源和電力行業在 2020 年佔據了很大的市場份額，預計在預測期內也將以較大的市場份額增長。在能源和電力領域，邊緣分析系統用於實時跟蹤問題，有助於降低預計在預測期內推動市場的輸出延遲成本。此外，邊緣分析將使能源生產商能夠確定可以傳輸或保留多少能量以供將來使用，這也將在預測期內推動市場。預計

為了更好地了解邊緣分析行業的市場採用情況，市場包括北美（美國、加拿大、北美其他地區）、歐洲（德國、英國、法國、西班牙、意大利、歐洲其他地區）、亞洲太平洋地區（中國、日本、印度和亞太地區其他地區），以及其他基於其全球影響力的國家/地區。預計北美地區將引領邊緣分析市場，並在預測期內保持其主導地位。這一增長是由於該地區製造業活動的增加，預計這將重振市場。此外，中小企業越來越多地使用邊緣分析服務也有望推動市場增長。此外，雲採用的上升趨勢預計將影響市場。

內容

第一章市場介紹

市場定義
主要目的
利益相關者
限制

第 2 章研究方法或假設

研究過程
調查方法
受訪者簡介

第三章市場總結

第 4 章執行摘要

第 5 章 COVID-19 對邊緣分析市場的影響

第 6 章邊緣分析市場收入，2020-2028F

第 7 章市場洞察：按組件分類

解決方案
服務

第 8 章市場洞察：按類型

規範分析
描述性分析
診斷分析
預測分析

第 9 章市場洞察：最終用戶

BFSI
零售
能源和電力
它
防守
其他

第 10 章市場洞察：按地區

北美
- 美國
- 加拿大
- 其他北美地區
歐洲
- 德國
- 英國
- 法國
- 意大利
- 西班牙
- 其他歐洲地區
亞太地區
- 中國
- 日本
- 印度
- 其他亞太地區
世界其他地方

第 11 章邊緣分析市場動態

市場驅動力
市場挑戰
影響分析

第 12 章邊緣分析市場機會

第 13 章邊緣分析市場趨勢

第14章需求側與供給側分析

需求方分析
供應方分析

第 15 章價值鏈分析

第16章價格分析

第 17 章戰略洞察

第 18 章衝突場景

競爭格局
- 波特的五力分析

第十九章公司簡介

Cisco Systems, Inc
Oracle
Analytic Edge
CGI Inc
Dell Inc
Equinix, Inc
Greenwave Systems
IBM
Intel Corporation
Microsoft.

第20章免責事項

簡介目錄

Product Code: UMTI211743

Edge analytics is a method of gathering and analysing data that involves automatic analytical calculation on data collected by a sensor, network switch, or other device as opposed to waiting for the data to be sent back to a centralised data storage.

The edge analytics market is expected to grow at a steady rate of around 24% owing to the increasing internet penetration. The growth of the edge analytics market is being driven by several factors. One of the primary reasons is the increasing amount of data being generated by the proliferation of the Internet of Things (IoT) and other digital technologies. For instance, according to comptia, global IoT spending is expected to hit USD 1.2 trillion in 2022. As more and more devices become connected to the internet, they generate large amounts of data that can be analyzed in real-time at the edge of the network. Moreover, edge analytics allows organizations to process and analyze this data at the point of origin, reducing latency and improving overall performance. Additionally, the growing adoption of cloud computing and the need for faster and more efficient data processing are also fueling the growth of the edge analytics market. The ability to process data at the edge of the network helps reduce the amount of data that needs to be transferred to the cloud, making it more cost-effective and efficient. Finally, the rise of artificial intelligence (AI) and machine learning (ML) is also driving the growth of the edge analytics market, as these technologies rely on real-time data processing to operate effectively.

Based on component, the market is segmented into solutions and services. The services segment is expected to grow with a significant CAGR. The growth of the segment is mainly attributed to their cost effectiveness. Futhermore the edge analytics services are becoming increasingly popular in industries such as manufacturing, healthcare, transportation, and logistics, where real-time data analysis is critical for optimizing operations and improving efficiency. For example, in manufacturing, edge analytics can be used to monitor equipment and detect potential issues before they cause downtime or other problems which is expected to drive the market during the forecast period.

On the basis of type, the market is segmented into prescriptive analytics, descriptive analytics, diagnostic analytics, predictive analytics. The predictive analytics segment is expected to dominate the market in 2021 and is expected to maintain this during the forecast period. Real-time data analysis: Edge analytics solutions with predictive features enable organizations to analyze real-time data from a variety of sources, such as sensors, IoT devices, and other data streams, to make accurate predictions about future events or trends. With the increasing demand for real-time data analysis, businesses are turning to edge analytics solutions with predictive features to gain valuable insights into their operations.

Based on end-users, the market is segmented into BFSI, retail, energy & power, IT, defense and others. The energy and power segment is held a significant market share in 2020 and is expected to grow with a significant market share during the forecast period. In energy & power sector the edge analytics systems are used to track problems in real time which helps organizations to decrease the output delays costs which is expected to drive the market during the forecast period. Furthermore, with the help of edge analytics energy producing companies can determine how much energy could be transmitted or retained for future usage is also expected to drive the market during the forecast period.

For a better understanding of the market adoption of the edge analytics industry, the market is analyzed based on its worldwide presence in the countries such as North America (U.S., Canada, Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. During the forecast period, the North America region is anticipated to lead the edge analytics market and sustain its dominance. This growth can be attributed to the region's expanding manufacturing activities, which are expected to boost the market. Additionally, the increasing usage of edge analytics services in small and medium-sized enterprises (SMEs) is expected to drive market growth. Furthermore, the market is expected to be influenced by the rising trend of cloud implementation.

Some of the major players operating in the market include: Cisco Systems; Inc; Oracle; Analytic Edge; CGI Inc; Dell Inc; Equinix, Inc; Greenwave Systems; IBM; Intel Corporation; Microsoft.

1 MARKET INTRODUCTION

1.1. Market Definitions
1.2. Main Objective
1.3. Stakeholders
1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

2.1. Research Process of the Edge Analytics Market
2.2. Research Methodology of the Edge Analytics Market
2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 IMPACT OF COVID-19 ON THE EDGE ANALYTICS MARKET

6 EDGE ANALYTICS MARKET REVENUE, 2020-2028F

7 MARKET INSIGHTS BY COMPONENT

7.1. Solutions
7.2. Services

8 MARKET INSIGHTS BY TYPE

8.1. Prescriptive Analytics
8.2. Descriptive Analytics
8.3. Diagnostic Analytics
8.4. Predictive Analytics

9 MARKET INSIGHTS BY END-USER

9.1. BFSI
9.2. Retail
9.3. Energy & power
9.4. IT
9.5. Defense
9.6. Others

10 MARKET INSIGHTS BY REGION

10.1. North America
- 10.1.1. U.S.
- 10.1.2. Canada
- 10.1.3. Rest of North America
10.2. Europe
- 10.2.1. Germany
- 10.2.2. U.K.
- 10.2.3. France
- 10.2.4. Italy
- 10.2.5. Spain
- 10.2.6. Rest of Europe
10.3. Asia-Pacific
- 10.3.1. China
- 10.3.2. Japan
- 10.3.3. India
- 10.3.4. Rest of Asia-Pacific
10.4. Rest of World