2031 年内容交付网络市场增长分析报告及分享

Publication Month : Jan 2024

  • Report Code : TIPRE00031444
  • Category : Technology, Media and Telecommunications
  • Status : Upcoming
  • No. of Pages : 150
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[研究报告]内容分发网络 (CDN) 市场预计将从 2022 年的 209.8 亿美元增长到 2030 年的 731.7 亿美元;预计 2022 年至 2030 年复合年增长率为 16.9%。

分析师观点:

内容交付网络(CDN)是一种分布式计算机系统,旨在尽快向最终用户提供网络内容。内容交付网络的主要目标是高效、安全地向访问者提供任何形式的数字内容,无论他们位于世界何处或使用什么类型的设备。内容交付网络 (CDN) 是一种地理上分散的计算机网络,它通过将 Web 材料的副本定位在更靠近消费者的位置或简化动态内容(例如,实时视频源)的交付来实现更快的 Web 性能。每个 CDN 服务器都位于“网络边缘”——比主机服务器更靠近用户,主机服务器是网站的起源地。因此,CDN 服务器通常被称为“边缘服务器”。每个服务器保存或缓存来自主机服务器的 Web 内容子集的副本 — HTML 文件、图片、音频、视频和应用程序。内容分发网络 (CDN) 市场的解决方案使网站发布商能够提供更快的性能,最大限度地缩短用户的加载时间,并通过缩短该材料与用户之间的距离来控制自身的带宽消耗和费用。< /p>

内容分发网络 (CDN) 市场的解决方案允许网站访问者更快地查看内容。对于在线出版商来说,这意味着更多的页面浏览量、增加的流量、更高的客户参与度和更低的网站放弃率。 Web 主机向企业收取从源服务器发送的数据的费用。 CDN 通过将材料副本存储在更靠近用户的位置,减少了来自源服务器的数据传输,从而减少了组织的带宽使用和支出。使用 CDN 的组织无需创建和运营自己的地理分布服务器网络,从而节省时间、人力资本和金钱。例如,根据 ThriveMyWay 2023 年的一份报告,在全球前 100000 个网站中,有 4148 个互联网网站使用 CDN(约占 41%)。 CDN 不仅可以更快地提供内容,还可以提高所提供内容的质量。传输速度慢会导致抖动,从而阻碍视频播放、视频通话和实时视频流。缓冲、图像和声音质量差以及传输不完整都会影响视频和音频内容的交付。材料交付网络通过缩短材料与用户之间的距离并平衡流量以避免路由器或服务器过载来提供帮助。

内容交付网络 (CDN) 市场概述:

就目前的轨迹而言,在线视频消费增长是 CDN 视频交付增长的主要市场驱动力。与广播电视相比,在线消费者要求相同或更好的质量。这给内容提供商带来了压力,要求他们发布有吸引力的内容并以高质量提供内容以满足需求。几家大型互联网视频提供商目前正在传输 4K 内容,这比普通的高清流媒体消耗更多的带宽。随着更多 4K 内容的出现(加上 4K 设备销量的增加),观众将需要更多高质量的内容,从而给互联网基础设施带来额外的压力。过去两年明显改变了电视观看环境;流媒体现在不仅是线性传输的补充,而且已经开始在许多地方取代它。观众正在从传统的广播电视转向可以通过个人或链接设备访问的在线视频。尽管某些地区取消了居家限制,并且客户正在恢复大流行前的活动,但在疫情使流媒体成为可能,再加上许多新的 OTT 服务的推出,表明这种吸引力将持续下去。例如,根据 Conviva 2021 年流媒体状况报告,直播节目占全球观看时间的 23%,点播内容占剩余的 77%。虽然这表明直播视频尚未像点播视频那样流行(而且可能永远不会),但它仍然相当令人震惊,并展示了直播行业已经取得了多大的进步。此外,点播视频可能占据全球观看时间的大部分,但正如该统计数据所示,它在参与度方面无法与直播视频竞争。观众每次观看直播的时间平均约为 25.4 分钟,而观看点播视频的时间约为 19 分钟。

战略见解

内容分发网络 (CDN) 市场驱动因素:

云端硬盘直播数量的增加内容分发网络 (CDN) 市场的增长

智能手机、智能电视和平板电脑等智能设备的日益普及导致内容分发网络的增长用户之间进行直播。过去两年无疑改变了电视观看格局。流媒体现在不仅是线性广播的补充,而且已经开始在许多地方取代它。观众正在通过个人或联网设备从传统广播电视转向在线视频。尽管一些地区的居家限制即将结束,消费者也开始回到大流行前的活动,但大流行期间为实现流媒体服务而做出的改变以及一系列新 OTT 服务的推出意味着吸引力将继续存在。到 2022 年,86% 的智能电视家庭通过电视的内置功能拥有常规电视流媒体服务。尽管相当大一部分(14%,即七分之一)的智能电视家庭尚未使用这些设备来播放电视或电影,但与 2020 年相比仍存在巨大增长(75%)。根据 2023 年 Unscreen 调查报告,美国 89% 的 WiFi 家庭可以使用移动设备,但电视应用的覆盖率仅为 54%。移动设备是使用最广泛的视频流设备。据 Omdia TV 报道在线视频情报服务显示,到2025年底,电视和在线视频的全球订阅用户总数将达到28亿,其中在线视频几乎占据了全部增长。 2020 年至 2025 年间,付费电视用户预计将增长 0.1%(107.51 万至 107.58 万)。另一方面,在线视频订阅用户将从 8.29 亿增长至 16.86 亿,增长两倍多。

内容分发网络 (CDN) 市场细分分析:

根据提供的内容,内容交付网络 (CDN) 市场分为移动内容交付、软件交付、视频流等。随着视频流行业的发展,对为其提供支持的服务器的需求也在不断增长。视频内容交付网络 (CDN) 已加紧满足流媒体需求并帮助流媒体吸引更多观众。事实上,思科估计现在 72% 的互联网流量通过 CDN,高于 2017 年的 56%。通过将媒体文件副本分发到靠近观众的位置,CDN 可以避免在传输视频内容时出现缓冲和流崩溃。这个缓存功能对于直播来说非常有用。实时广播的缓存片段可以将启动时间缩短至不到五秒。此外,它大大减少了源服务器的负载,提供更稳定的观看体验。

内容分发网络 (CDN) 市场区域分析:

北美的主要市场是内容分发网络(CDN)市场的领先地区之一。大多数 CDN 已经在北美和欧洲等成熟视频市场拥有广泛的网络覆盖范围,但 CDN 有机会通过有针对性的投资对自己进行战略定位,并利用在具有更高增长潜力的发展中地区的扩张。北美地区是 Netflix、Amazon Prime、Hulu、Apple TV+ 等主要 OTT 内容提供商的所在地。根据 DataAI 2023 年的一份报告,客户正在下载更多应用程序;在美国,预计到 2021 年,流媒体用户下载的视频流应用程序将增加 85%,而韩国的这一比例为 80%。根据 Deloitte Insights 的数据,2021 年,67% 的美国人订阅了付费电视,而 82% 的美国客户订阅了视频流媒体,平均订阅次数为 4 个。

内容分发网络 (CDN) 市场主要参与者分析:

内容分发网络 (CDN)市场分析由 Akamai Technologies 等参与者组成;亚马逊网络服务;字母表公司;白山云;思杰系统;德国电信;德国电信; NTT 通讯;塔塔通讯;腾讯云是报告中介绍的主要内容分发网络 (CDN) 市场参与者之一。

内容分发网络 (CDN) 市场最新发展:

内容交付网络 (CDN) 市场的公司高度采用并购等无机和有机策略。下面列出了最近的一些关键市场动态:

  • 2023 年 8 月,支持和保护在线生活的云公司 Akamai Technologies, Inc. 今天推出了在 StackPath 决定暂停其内容分发网络 (CDN) 市场运营后,该公司宣布已从 StackPath 收购资产,包括某些企业客户合同。 Akamai 将向寻求企业解决方案来满足其内容交付、网络安全和云计算需求的客户提供常规产品和支持,让他们能够访问全球分布最广的边缘和云平台。
  • 2022 年 4 月,Google 推出了 Media CDN,这是一个使用与 YouTube 相同的基础设施来交付内容的平台。 Google Media CDN 已在 200 个国家/地区的 1,300 多个地点开展业务,声称能够“自动化所有方面”,“提供贴近用户的内容”。
  • 2021 年 3 月,BaishanCloud(白山)一家全球著名的云数据服务提供商今天宣布将 mlytics 添加到其基于 SaaS 的多 CDN 平台生态系统中。 mlytics 的客户现在可以使用白山遍布中国和东南亚的广泛的全球内容交付网络提供的优质内容交付服务。此次合作将为共同客户提供白山的高性能以及mlytics智能平台的灵活性和成本效益。
Report Coverage
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Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
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Regional Scope
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North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

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  • Akamai Technologies
  • Amazon Web Services
  • Alphabet Inc
  • Baishan Cloud
  • Citrix Systems
  • Deutsche Telecom
  • Deutsche Telecom
  • NTT Communications
  • Tata Communications
  • Tencent Cloud

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

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The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

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Below is the breakup of our primary respondents by company, designation, and region:

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The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

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Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

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We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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