To determine the edge computing market’s present size, the study conducted four main activities. In-depth secondary research was conducted to gather data on the parent market, peer market, and market. The following stage involved conducting primary research to confirm these conclusions, hypotheses, and sizing with industry experts throughout the value chain. A combination of top-down and bottom-up methods was used to assess the overall market size. The market size of the segments and subsegments was then estimated using the market breakup and data triangulation techniques.

In order to gather qualitative and quantitative data for this report, a variety of primary sources from the supply and demand sides were interviewed during the primary research phase. Industry experts, including Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related senior executives from various significant companies and organizations supplying edge computing software, were among the primary sources from the supply-side. The end users of event management software solutions, such as Chief Information Officers (CIOs), IT technologists and technicians, and IT managers at public and investor-owned utilities, were the main demand side sources.

Several secondary sources were consulted during the secondary research process in order to locate and gather data for this investigation. The secondary sources included government publishing sources, whitepapers, certified publications, investor presentations, annual reports, news announcements, and articles from reputable associations like Data Center Knowledge.

In order to find and gather data for this technical, market-oriented, and commercial study of the edge computing market, the research study leveraged a wide range of secondary sources, directories, and databases, including D&B Hoovers, DiscoverOrg, Factiva, Bloomberg BusinessWeek, Statista.com, Cloud Computing Association, OpenFog Consortium, SpiceCSM, National Association of call centers (ACCA), MENA Cloud Alliance, Association of Customer Contact Professionals (ACCP), International Trade Administration (ITA), Telecommunications Industry Association, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), Economic Commission for Latin America (ECLA), Arab Information and Communication Technology Organization (AICTO). The primary purposes of secondary research were to gather important data regarding the industry’s value chain, the entire group of important companies, and market classification and segmentation according to industry trends down to the lowest level, regional markets, and key developments from both market and technology-oriented perspectives.

The segmentation coverage of the study is provided below.

Edge Computing Market based on Component:

• Hardware
• Software
• Services

Edge Computing Market based on End user:

• Financial and Banking Industry
• Retail
• Healthcare and Life Sciences
• Industrial
• Energy and Utilities
• Telecommunications
• Other End-users

Edge Computing Market based on Geography:

• North America
  • US
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Rest of Europe (RoE)
• Asia Pacific (APAC)
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia Pacific (RoAPAC)
• Latin America (LATAM)
  • Brazil
  • Argentina
  • Rest of South America
• Middle East and Africa (MEA)
  • UAE
  • Turkey
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Applications based on Software as a Service (SaaS) and the Internet of Things (IoT) are becoming more and more popular worldwide. The market for edge computing is developing as a result of these technologies’ expansion. Processing data at the source as opposed to transferring it to a central place is known as edge computing. The massive volumes of data generated by Internet of Things devices require real-time processing, and edge computing offers the perfect infrastructure to manage this data. However, SaaS applications need high reliability and low latency, which edge computing can deliver. In the anticipated years, the convergence of edge computing with SaaS and IoT is anticipated to propel market expansion and generate new company prospects.

Edge computing, which has been receiving a lot of attention because of its enormous advantages—less latency—improves analytical processing significantly. By using edge computing, data from linked assets may be processed locally instead of needing to be sent back to a cloud or data center. Businesses’ ability to swiftly (or automatically) use their data insights was hampered by the delay.

Edge computing is obviously very promising for companies looking to gain a competitive edge. Edge computing lowers IT costs by eliminating the need to transfer or store high-frequency IoT data to the cloud. When it comes to major temperature or vibration fluctuations, or when it comes to all sensor data recorded minutes before and after failures, data analytics at the edge can determine which data should be relocated and which should be preserved for further examination. Furthermore, in order to lower the total amount of data and the bandwidth needed for cloud storage, high-value data might be compressed. Edge computing and artificial intelligence (AI) come together to offer several benefits. Businesses are using AI-enhanced IoT analytics at the edge of their networks to quickly identify hidden patterns in data that lead to faster innovation, stronger data security, faster operational efficiency, and the ability to make critical business decisions. Millions of dollars spared from unscheduled outages.

Similarly, edge computing has the potential to change how patients and clients receive medical treatment. It can enhance both the patient experience and the efficiency and effectiveness of clinicians in a health care system. Patients can record their own vitals (blood pressure, blood sugar, heart rate, and rhythm) via IoT-enabled phones or watches, exchange the data with clinicians promptly, and more. Edge analytics can facilitate better doctor-patient communication, enabling continuous patient monitoring, and speed up and accuracy of clinical diagnosis and decision-making.

• This report illustrates the most vital attributes of the Edge Computing Market, which are driving and providing opportunities.
• This research gives an in-depth analysis of the Edge Computing Market growth on the basis of several segments in the market.
• This report presents the predictions of the past and present trends of the Edge Computing Market.
• This study also presents the competitive analysis, such as key strategies and capabilities of major players of the Edge Computing Market.