Certified Global Research Member
Key Questions Answered
- Global Market Outlook
- In-depth analysis of global and regional trends
- Analyze and identify the major players in the market, their market share, key developments, etc.
- To understand the capability of the major players based on products offered, financials, and strategies.
- Identify disrupting products, companies, and trends.
- To identify opportunities in the market.
- Analyze the key challenges in the market.
- Analyze the regional penetration of players, products, and services in the market.
- Comparison of major players’ financial performance.
- Evaluate strategies adopted by major players.
- Recommendations
Why Choose Market Research Future?
- Vigorous research methodologies for specific market.
- Knowledge partners across the globe
- Large network of partner consultants.
- Ever-increasing/ Escalating data base with quarterly monitoring of various markets
- Trusted by fortune 500 companies/startups/ universities/organizations
- Large database of 5000+ markets reports.
- Effective and prompt pre- and post-sales support.
The Edge Analytics market is undergoing transformative trends that reflect the evolving landscape of distributed computing and the increasing demand for real-time insights at the edge of networks. One prominent trend is the integration of artificial intelligence (AI) and machine learning (ML) technologies into Edge Analytics solutions. AI and ML algorithm implementations at the edge are used and improved by organizations to help their analytics, so that specifically the data can be processed on site for better decisions. This ongoing trend matches with the industry’s drive for the creation of more autonomous and complex edge computing environments where data is not only processed locally but also analyzed according to the surrounding needs in order to obtain meaningful results.
The security features and the privacy concerns have become the prevalent trends that shape the market of Edge Analytics. Along with the data processing at the edge level, the role of securing edge devices and data privacy becomes indispensable. The modern Edge Analytics applications are in the process of adopting sophisticated security mechanisms, like encryption, the secure application layer protocols, and the native edge security frameworks. This exemplifies industry’s will to fix issues concerning security and privacy in edge computing settings, especially in industries handling sensitive information such as healthcare and finance.
The Edge Analytics – 5G convergence is an worth-noting development with remarkable outcomes. The implementation of 5G infrastructures offers a higher bandwidth and lower latency, thus allowing the use of a more efficient way of communication between edge devices and the centralized systems. This development elevates the competitiveness of Edge Analytics, thus supporting the firms with the speedy and reliable information transmittance. The compatibility of Edge Analytics with 5G is in line with the conventional industry approach which consists of utilizing advanced telecommunications infrastructure to enhance edge computing at the end points.
Edge Analytics still sees a trend in the streamlining of edge device management and orchestration. And the more edge devices proliferate, maneuvering and orchestrating them is also a crucial aspect. Organizations are implementing solutions that give centralized control and monitoring on edge devices so they can keep the efficiency and simplicity of troubleshooting. It focuses on the intricacy of edge computing with the distributed edge networks and provides edge analytics embedded seamlessly into the legacy infrastructures.
The Edge Analytics, which are becoming popular lately, are being more and more adopted by edge-to- cloud hybrid architectures. Organizations are recognizing the value of a balanced approach that combines local processing at the edge with centralized cloud analytics. This trend allows for efficient data preprocessing and filtering at the edge, reducing the amount of data transmitted to the cloud and optimizing bandwidth usage. The adoption of hybrid architectures aligns with the need for a versatile and scalable approach to Edge Analytics that accommodates diverse use cases and industry requirements.
Covered Aspects:
| Report Attribute/Metric | Details |
|---|---|
| Market Opportunities | Rising adoption of Internet of Things (IoT) devices, the increasing demand for real-time data analysis |
| Market Dynamics | With The expansion of cloud computing capabilities, the edge analytics market has grown and evolved significantly in recent years. |
Edge Analytics Market Highlights:
Edge Analytics Market Overview
Edge Analytics Market Size was valued at USD 1.5 Billion in 2022. The edge analytics market industry is projected to grow from USD 1.96 Billion in 2023 to USD 17.04 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 31.00% during the forecast period (2024 - 2032). The rising adoption of Internet of Things (IoT) devices, the increasing demand for real-time data analysis, and the expansion of cloud computing capabilities are the key market drivers enhancing the market growth.
Figure 1: Edge Analytics Market Size, 2023-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Edge Analytics Market Trends
Rising adoption of Internet of Things (IoT) devices drives market growth
Due to the rising adoption of Internet of Things (IoT) devices, the increasing demand for real-time data analysis, and the expansion of cloud computing capabilities, the edge analytics market has been significantly growing and evolving in recent years. Instead of sending all the data to a centralized data center or cloud for processing, edge analytics refers to analyzing data at or close to the source of data generation, frequently at the "edge" of the network. Numerous advantages of this strategy include decreased latency, enhanced security, and optimized bandwidth usage. The rapid uptake of IoT devices in a variety of sectors, including manufacturing, healthcare, transportation, and smart cities, is one of the major trends driving the edge analytics market. These devices produce enormous amounts of data, which can be overwhelming to process centrally. By performing real-time data analysis on these devices, edge analytics offers a solution and enables quicker decision-making and response times, which is essential in applications where delays could have serious repercussions.
Additionally, as more data is produced and processed at the edge, there is a growing need for edge computing tools and analytics resources. As a result, cutting-edge hardware and software solutions designed to handle edge analytics workloads efficiently have been created. In order to stay competitive in the market, businesses are heavily investing in the development of edge computing platforms and edge-based data analytics algorithms. The growing focus on data security and privacy is a significant trend in the edge analytics market. Concerns about data breaches and unauthorized access have grown as the processing and storage of data have moved closer to the data source. In order to protect sensitive data and adhere to data protection laws, vendors are incorporating strong security measures into their edge analytics solutions.
A significant factor in the growth of the Edge Analytics market has also been the development of 5G technology. Faster and more dependable connectivity by 5G networks allows for seamless data transfer between edge analytics platforms and IoT devices. Real-time applications like augmented reality, virtual reality, and autonomous vehicles, which rely heavily on quick data analysis and response, are made possible by combining 5G and edge analytics. Edge Analytics is becoming more popular among small and medium-sized businesses (SMBs), not just big corporations. SMBs are utilizing edge computing technologies as they become more widely available and cost-effective in order to gain a competitive edge by making data-driven decisions at the edge of their networks. The pandemic has also accelerated the use of edge analytics in the healthcare industry. In order to process patient data from various medical devices in real-time, healthcare providers are using edge analytics. This has the effect of facilitating quicker diagnosis, remote patient monitoring, and better overall healthcare outcomes. Governmental agencies are beginning to understand the significance of edge analytics and its potential effects on various industries on the regulatory front. In order to ensure the responsible and ethical use of edge analytics technologies, they are working to develop policies and standards. Thus, driving the edge analytics market revenue.
Edge Analytics Market Segment Insights
Edge Analytics Components Insights
The edge analytics market segmentation, based on components, includes solutions and services. The solutions segment dominated the market. Data processing and analysis in real-time at or close to the data generation source is made possible by edge analytics software. Businesses can now make quicker and more informed decisions, which improves operational effectiveness and enhances customer experiences. Software in Edge Analytics reduces the time data must be transmitted to centralized data centers by processing data locally at the network's edge. Applications that demand instant responses, like autonomous vehicles, industrial automation, and remote healthcare monitoring, depend on this reduction in latency.
Figure 2: Edge Analytics Market, by Components, 2022 & 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Edge Analytics Deployment Insights
Based on deployment, the edge analytics market segmentation includes cloud and on-premise. The cloud generated the most income. Risk analytics infrastructure up or down depending on demand with cloud platforms, ensuring optimal performance and cost-effectiveness. Pay-as-you-go cloud services let you only pay for the resources you use, which cuts down on infrastructure and up-front costs. For remote teams and distributed workforces, cloud-based risk analytics offer flexibility and convenience because they can be accessed from any location with an internet connection. Quicker risk assessment is possible thanks to cloud solutions' real-time data processing and analysis.
Edge AnalyticsBusiness Application Insights
Based on business applications, the edge analytics market segmentation includes sales, marketing, HR, operations, and finance. The sales generated the most income. Near the data source or device, edge analytics directly processes data at the network's edge. As a result, sales teams' responsiveness and agility in the sales process are improved because they can make decisions in real-time based on the most recent and pertinent data. Edge analytics reduces the time it takes to send data to centralized servers for processing by processing it locally at the edge. Due to the decreased latency, sales teams receive insights and updates quickly, allowing them to take quick action and seize opportunities as they present themselves. Edge analytics localizes data filtering and processing to send only pertinent data to centralized systems. In organizations with dispersed sales teams, this data transmission optimization lessens the demand on network bandwidth, increasing its effectiveness and decreasing its cost.
Edge AnalyticsBusiness Verticals Insights
Based on verticals, the edge analytics market segmentation includes Government, IT and Telecommunication, Manufacturing, Healthcare and Travel and Hospitality. The manufacturing category generated the most income. Manufacturing companies are using cutting-edge analytics to keep better track on machine performance, output, and to be able to react with any problem that emerges in seconds rather than minutes.
Edge Analytics Regional Insights
By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. The Asia Pacific edge analytics market area will dominate this market; with edge analytics becoming more and more popular among all the small and medium-sized businesses supported by the government, North America continues to be a strong market for this technology.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: EDGE ANALYTICS MARKET SHARE BY REGION 2022 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe's edge analytics market accounts for the second-largest market share. The high concentration of manufacturing and telecommunication industries using edge analytics can be credited with the market's expansion. Since cloud traffic and the demand for edge analytics are related, the market has experienced significant growth. Further, the German edge analytics market held the largest market share, and the UK edge analytics market was the fastest-growing market in the European region.
The North American Edge Analytics Market is expected to grow at the fastest CAGR from 2023 to 2032. The way that North American businesses use cloud computing is evolving. Using a distributed edge computing architecture can lower the cloud's cost. Moreover, China’s edge analytics market held the largest market share, and the Indian edge analytics market was the fastest-growing market in the Asia-Pacific region.
Edge Analytics Key Market Players & Competitive Insights
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the edge analytics market grow even more. Market participants are also undertaking a variety of strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. The edge analytics industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the edge analytics industry to benefit clients and increase the market sector. The edge analytics industry has offered some of the most significant medical advantages in recent years. Major players in the edge analytics market, including AGT International Inc. (Switzerland), Cisco Corporation (U.S.), SAS Institute (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Foghorn Systems (U.S.), Apigee Corporation (U.S.), and others, are attempting to increase market demand by investing in research and development operations.
SAP SE (Germany) is redefining ERP and building networks of intelligent enterprises that provide transparency, resiliency, and sustainability across supply chains to help businesses of all sizes and industries run better. The market leader in enterprise application software. Customers can operate profitably, continuously adapt, and make a difference ly thanks to our comprehensive suite of applications and services. One of the world's top software developers for business process management, SAP creates products that streamline efficient data processing and information exchange between organizations. The business was founded in 1972 and was initially known as System Analysis Program Development (Systemanalyse Programmentwicklung), later becoming SAP. Since then, it has expanded from a five-person startup to a corporation with more than 105,000 staff members based in Walldorf, Germany.
Networking giant Cisco Systems, Inc., more commonly known as Cisco, is an American multinational digital communications technology conglomerate corporation with its headquarters in San Jose, California. In addition to other high-tech services and goods, Cisco develops, produces, and markets networking hardware, software, telecommunications equipment, and other items. With cutting-edge products like Webex, OpenDNS, Jabber, Duo Security, and Jasper, Cisco is a leader in specialized tech markets like the Internet of Things (IoT), domain security, videoconferencing, and energy management. With over $51 billion in annual revenue and close to 80,000 employees, Cisco is one of the biggest technology companies in the world, coming in at number 74 on the Fortune 100.
Key Companies in the edge analytics market include
-
AGT International Inc. (Switzerland)
-
Cisco Corporation (U.S.)
-
SAS Institute (U.S.)
-
Oracle Corporation (U.S.)
-
SAP SE (Germany)
-
Foghorn Systems (U.S.)
-
Apigee Corporation (U.S.)
-
CGI Group Inc. (Canada)
-
Analytic Edge (India)
-
Prism Tech (U.K.)
Edge Analytics Industry Developments
In February 2023, Amazon Web Service Inc. announced a fully managed service – AWS Telco Network Builder, which helps consumers to deploy, run and scale the Telco network on AWS platforms.
November 2022 - The Water Tower (TWT) has announced a new Transformational Partnership with Olea Edge AnalyticsTM, an Austin-based digital innovation firm. Olea is the member of TWT's new transformational partnership level, which aims to create innovative water-related technologies.
November 2022 - A ZS is a management consulting and technology firm focused on transforming global healthcare and beyond. The company leverages edge analytics, plus the power of data, science, and products to help clients make more intelligent decisions, deliver innovative solutions and improve outcomes announced an investment in and partnership with Abacus Insights, a healthcare technology provider with a groundbreaking offering in data usability that rapidly accelerates the achievement of key health plan goals including efficiency, equity, health services and member outcomes.
In September 2022 IBM collaborated with Bharti Airtel from India to launch Airtel’s edge computing platform in India, which provided open and secured cloud services by reducing latency while addressing sovereignty and data security requirements.
June 2022 - Kyndryl, one of the leading providers of IT infrastructure services partnered with Cisco for its corporate clients’ transition into data-driven organizations driven by Cisco solutions and Kyndryl managed services.
June 2022 - Pioneering partners SAS and ClearBlade are assisting operations managers in asset-intensive industries such as manufacturing, oil and gas, as well as transportation to maximize their operational technology (OT) equipment effectivity through unlocking all streaming data value via simpler ways at a lower cost. The partners are leveraging artificial intelligence (AI) together with machine learning on IoT-connected assets, enabling OT executives access analyze acts based on streaming data at Edge or Cloud without dependence on IT or Data Scientists, thus shortening it from months to weeks.
Edge Analytics Market Segmentation
Edge Analytics Components Outlook
-
Solutions
-
Services
Edge Analytics Deployment Outlook
-
Cloud
-
On-Premise
Edge Analytics Business Application Outlook
-
Sales
-
Marketing
-
HR
-
Operations
-
Finance
Edge Analytics Verticals Outlook
-
Government
-
IT and Telecommunication
-
Manufacturing
-
Healthcare
-
Travel and hospitality
Edge Analytics Regional Outlook
-
North America
-
US
-
Canada
-
Europe
-
Germany
-
France
-
UK
-
Italy
-
Spain
-
Rest of Europe
-
Asia-Pacific
-
China
-
Japan
-
India
-
Australia
-
South Korea
-
Australia
-
Rest of Asia-Pacific
-
-
Rest of the World
-
Middle East
-
Africa
-
Latin America
-
Leading companies partner with us for data-driven Insights
Kindly complete the form below to receive a free sample of this Report
Tailored for You
- Dedicated Research on any specifics segment or region.
- Focused Research on specific players in the market.
- Custom Report based only on your requirements.
- Flexibility to add or subtract any chapter in the study.
- Historic data from 2014 and forecasts outlook till 2040.
- Flexibility of providing data/insights in formats (PDF, PPT, Excel).
- Provide cross segmentation in applicable scenario/markets.
