Edge Analytics Market – Industry Trends and Forecast to 2030

Posted 2025-02-17 18:15:21

The Edge Analytics Market sector is undergoing rapid transformation, with significant growth and innovations expected by 2030. In-depth market research offers a thorough analysis of market size, share, and emerging trends, providing essential insights into its expansion potential. The report explores market segmentation and definitions, emphasizing key components and growth drivers. Through the use of SWOT and PESTEL analyses, it evaluates the sector’s strengths, weaknesses, opportunities, and threats, while considering political, economic, social, technological, environmental, and legal influences. Expert evaluations of competitor strategies and recent developments shed light on geographical trends and forecast the market’s future direction, creating a solid framework for strategic planning and investment decisions.

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Which are the top companies operating in the Edge Analytics Market?

The report profiles noticeable organizations working in the water purifier showcase and the triumphant methodologies received by them. It likewise reveals insights about the share held by each organization and their contribution to the market's extension. This Global Edge Analytics Market report provides the information of the Top Companies in Edge Analytics Market in the market their business strategy, financial situation etc.

Cisco (Germany), Oracle (U.K.), SAP SE (Netherlands), SAS Institute (U.S.), Apigee Corporation (Spain), Predixion Software (U.S.), AGT International Inc (U.S.), Foghorn Systems (U.K.), CGI Group Inc. (U.S.), Analytic Edge (U.K.), Prism Tech (France), Bit Stew Systems (Netherlands), Bright Wolf (U.S.), Camgian Microsystems (U.S.), EUROTECH (Japan), Kepware Technologies (U.S.), Flowthings.io (U.S.)

Report Scope and Market Segmentation

Which are the driving factors of the Edge Analytics Market?

The driving factors of the Edge Analytics Market are multifaceted and crucial for its growth and development. Technological advancements play a significant role by enhancing product efficiency, reducing costs, and introducing innovative features that cater to evolving consumer demands. Rising consumer interest and demand for keyword-related products and services further fuel market expansion. Favorable economic conditions, including increased disposable incomes, enable higher consumer spending, which benefits the market. Supportive regulatory environments, with policies that provide incentives and subsidies, also encourage growth, while globalization opens new opportunities by expanding market reach and international trade.

Edge Analytics Market - Competitive and Segmentation Analysis:

**Segments**

- **Component**: The edge analytics market can be segmented based on components into solutions and services. Solutions segment is further divided into hardware and software solutions. Services segment includes professional services and managed services.
- **Deployment Mode**: The market is segmented based on deployment mode into cloud and on-premises. Organizations can choose the deployment mode based on their IT infrastructure and security requirements.
- **Organization Size**: This segment includes small and medium-sized enterprises (SMEs) and large enterprises. The edge analytics solutions cater to the needs of organizations of varying sizes.
- **Vertical**: The market can be segmented based on verticals such as healthcare, retail, manufacturing, IT and telecom, energy and utilities, transportation and logistics, and others. Each vertical has unique requirements for edge analytics solutions.

**Market Players**

- **Cisco Systems, Inc.**: Cisco offers edge analytics solutions that help organizations process data in real-time at the edge of the network, enabling faster decision-making and improved operational efficiency.
- **IBM Corporation**: IBM provides edge analytics solutions that leverage AI and machine learning capabilities to analyze data at the edge, enabling predictive maintenance, anomaly detection, and other use cases.
- **Microsoft Corporation**: Microsoft's edge analytics offerings include Azure IoT Edge, which allows organizations to run AI models and analytics at the edge to reduce latency and enhance security.
- **SAS Institute Inc.**: SAS offers edge analytics solutions that enable organizations to extract valuable insights from data at the edge, helping them optimize processes and improve business outcomes.
- **SAP SE**: SAP's edge analytics solutions help organizations collect, analyze, and act on data at the edge of the network, empowering them to drive innovation and achieve competitive advantage.

The edge analytics market is a dynamic and evolving landscape that is driven by the increasing adoption of IoT devices, the growing need for real-time data processing, and the rising focus on enhancing operational efficiency and decision-making across various industries. One of the key trends shaping the market is the rapid advancement in edge computing technology, enabling organizations to move computation and analytics closer to the data source, thereby reducing latency and improving overall system performance. This trend is fueling the demand for edge analytics solutions that can help organizations harness the power of data collected at the edge of the network.

Another significant trend in the edge analytics market is the integration of artificial intelligence and machine learning capabilities into edge computing solutions. These advanced technologies are enabling organizations to perform complex analytics tasks at the edge, such as predictive maintenance, anomaly detection, and real-time decision-making. By leveraging AI and machine learning at the edge, organizations can drive operational efficiency, reduce downtime, and enhance the overall customer experience.

Moreover, the market is witnessing a shift towards cloud-based edge analytics solutions, as organizations look to leverage the scalability, flexibility, and cost-effectiveness of cloud computing for their edge analytics needs. Cloud-based edge analytics solutions offer organizations the ability to access analytics capabilities on-demand, without the need for extensive infrastructure investments. This trend is particularly prominent among small and medium-sized enterprises (SMEs) looking to enhance their data analytics capabilities without incurring significant upfront costs.

In terms of verticals, industries such as healthcare, retail, manufacturing, IT and telecom, energy and utilities, transportation and logistics are driving the adoption of edge analytics solutions to address industry-specific challenges and capitalize on new opportunities. For example, in healthcare, edge analytics solutions are being used to monitor patient health in real-time, enable remote diagnosis, and improve healthcare outcomes. In retail, edge analytics solutions are helping retailers optimize inventory management, personalize customer experiences, and streamline operations.

Overall, the edge analytics market is poised for significant growth as organizations increasingly recognize the value of processing data at the edge**Market Players**

- Cisco (Germany)
- Oracle (U.K.)
- SAP SE (Netherlands)
- SAS Institute (U.S.)
- Apigee Corporation (Spain)
- Predixion Software (U.S.)
- AGT International Inc (U.S.)
- Foghorn Systems (U.K.)
- CGI Group Inc. (U.S.)
- Analytic Edge (U.K.)
- Prism Tech (France)
- Bit Stew Systems (Netherlands)
- Bright Wolf (U.S.)
- Camgian Microsystems (U.S.)
- EUROTECH (Japan)
- Kepware Technologies (U.S.)
- Flowthings.io (U.S.)

The edge analytics market is witnessing significant growth and evolution driven by the increasing adoption of IoT devices, the demand for real-time data processing, and the focus on enhancing operational efficiency across various industries. One key trend shaping the market is the rapid advancement in edge computing technology, which enables organizations to perform computation and analytics closer to the data source, reducing latency and improving system performance. This trend is boosting the demand for edge analytics solutions that can help organizations leverage data collected at the edge of the network effectively.

Furthermore, the integration of artificial intelligence and machine learning capabilities into edge computing solutions is a notable trend in the market. These advanced technologies enable organizations to perform complex analytics tasks at the edge, such as predictive maintenance and real-time decision-making, enhancing operational efficiency and customer experience. Leveraging AI and machine learning at the edge allows organizations to

North America, particularly the United States, will continue to exert significant influence that cannot be overlooked. Any shifts in the United States could impact the development trajectory of the Edge Analytics Market. The North American market is poised for substantial growth over the forecast period. The region benefits from widespread adoption of advanced technologies and the presence of major industry players, creating abundant growth opportunities.

Similarly, Europe plays a crucial role in the global Edge Analytics Market, expected to exhibit impressive growth in CAGR from 2024 to 2030.

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Key Benefits for Industry Participants and Stakeholders: –

Industry drivers, trends, restraints, and opportunities are covered in the study.
Neutral perspective on the Edge Analytics Market scenario
Recent industry growth and new developments
Competitive landscape and strategies of key companies
The Historical, current, and estimated Edge Analytics Market size in terms of value and size
In-depth, comprehensive analysis and forecasting of the Edge Analytics Market

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2024-2030) of the following regions are covered in Chapters

The countries covered in the Edge Analytics Market report are U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, and Rest of the Middle East and Africa

Detailed TOC of Edge Analytics Market Insights and Forecast to 2030

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Research Methodology

Part 04: Edge Analytics Market Landscape

Part 05: Pipeline Analysis

Part 06: Edge Analytics Market Sizing

Part 07: Five Forces Analysis

Part 08: Edge Analytics Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers And Challenges

Part 13: Edge Analytics Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

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