市场调查报告书
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边缘分析市场:当前分析和预测 (2022-2028)Edge Analytics Market: Current Analysis and Forecast (2022-2028) |
由于互联网普及率不断上升,边缘分析市场预计将以 24% 左右的速度稳定增长。 边缘分析市场的增长是由几个因素驱动的。 主要原因之一是物联网 (IoT) 和其他数字技术的普及所产生的数据量不断增加。 例如,根据 comptia 的数据,全球物联网支出预计将在 2022 年达到 1.2 万亿美元。 随着越来越多的设备连接到互联网,它们将生成大量数据,这些数据可以在网络边缘进行实时分析。 此外,边缘分析允许企业在源点处理和分析这些数据,从而减少延迟并提高整体性能。 此外,越来越多地采用云计算以及对更快、更高效的数据处理的需求不断增加,也推动了边缘分析市场的增长。 数据可以在网络边缘处理,减少需要传输到云端的数据量,提高成本效益和效率。 最后,人工智能 (AI) 和机器学习 (ML) 的兴起也推动了边缘分析市场的增长。 这些技术依靠实时数据处理来有效运行。
根据组件,市场细分为解决方案和服务。 预计服务业将以较大的复合年增长率增长。 该细分市场的增长主要归功于成本效益。 此外,边缘分析服务在製造、医疗保健、运输和物流等行业中越来越受欢迎,在这些行业中,实时数据分析对于优化和简化运营至关重要。 例如,在製造业中,边缘分析可用于监控设备并在停机或其他问题发生之前检测潜在问题,预计将在预测期内推动市场。
按类型划分,市场分为规范性分析、描述性分析、诊断性分析和预测性分析。 预测分析领域预计将在 2021 年主导市场,并在预测期内保持这一势头。 具有实时数据分析和预测能力的边缘分析解决方案使组织能够分析来自各种来源的实时数据,例如传感器、物联网设备和其他数据流,从而准确预测未来事件和趋势。 随着对实时数据分析需求的增长,企业正在转向具有预测能力的边缘分析解决方案,以获得对其运营的宝贵见□□解。
按最终用户划分,市场分为 BFSI、零售、能源与电力、IT、国防等。 能源和电力行业在 2020 年占据了很大的市场份额,预计在预测期内也将以较大的市场份额增长。 在能源和电力领域,边缘分析系统用于实时跟踪问题,有助于降低预计在预测期内推动市场的输出延迟成本。 此外,边缘分析将使能源生产商能够确定可以传输或保留多少能量以供将来使用,这也将在预测期内推动市场。预计
为了更好地了解边缘分析行业的市场采用情况,市场包括北美(美国、加拿大、北美其他地区)、欧洲(德国、英国、法国、西班牙、意大利、欧洲其他地区)、亚洲太平洋地区(中国、日本、印度和亚太地区其他地区),以及其他基于其全球影响力的国家/地区。 预计北美地区将引领边缘分析市场,并在预测期内保持其主导地位。 这一增长是由于该地区製造业活动的增加,预计这将重振市场。 此外,中小企业越来越多地使用边缘分析服务也有望推动市场增长。 此外,云采用的上升趋势预计将影响市场。
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.