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    Edge Analytics Companies

    ID: MRFR/ICT/2301-HCR
    100 Pages
    Shubham Munde
    October 2025

    As the Internet of Things (IoT) continues to permeate various industries, the Edge Analytics Market emerges as a key player in processing and analyzing data at the source – the edge of the network. This market focuses on deploying analytics capabilities directly on edge devices, reducing the need for centralized data processing. By doing so, businesses can gain real-time insights, reduce latency, and enhance overall system efficiency. Edge analytics is particularly vital in scenarios where quick decision-making is paramount, such as in autonomous vehicles, smart cities, and industrial IoT applications.

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    Edge Analytics Market Research Report – Forecast till 2034 Infographic
    Summary Table of Contents Segmentation Download PDF

    Top Industry Leaders in the Edge Analytics Market

    Edge Analytics Companies

     


    Edge Analytics Market: Dive into the Latest News and Updates


    In today's cutthroat business environment, gaining a competitive edge is the Holy Grail of success. Enter the Edge Analytics market, wielding its data-driven insights as a laser pointer, enabling businesses to identify and magnify their unique strengths, outmaneuver rivals.


    Some of Edge Analytics Companies Listed Below:



    • 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.)


    Strategies Fueling Growth:




    • AI and Machine Learning Integration: Embedding AI and ML algorithms at the edge enables real-time decision-making, proactive anomaly detection, and predictive maintenance, unlocking operational efficiencies and improving customer experiences.


    • Cloud-Edge Collaboration: Hybrid architectures with seamless data exchange between edge devices and cloud platforms leverage the strengths of both, offering real-time insights and centralized data management.


    • Industry-Specific Solutions: Developing pre-configured edge analytics solutions tailored to specific industries addresses sector-specific challenges and fosters faster adoption by catering to targeted customer needs.


    • Security and Privacy: Robust data security measures and compliance with regulations like GDPR and HIPAA are crucial for building trust and enabling secure data processing at the edge.


    Market Share Decoding: Key Factors to Consider:




    • Functionality and Feature Set: Platforms offering a comprehensive range of features for data ingestion, edge processing, analytics, visualization, and integration with cloud and existing IT systems hold an edge.


    • Scalability and Performance: Ability to handle large data volumes at the edge with low latency and efficient resource utilization is crucial for ensuring smooth operations and timely insights.


    • Security and Compliance: Robust data security measures, encryption protocols, and compliance with relevant regulations build trust and open doors to industries with stringent data protection requirements.


    • Ease of Use and Deployment: User-friendly interfaces, drag-and-drop functionalities, and pre-built edge applications simplify deployment and accelerate time to insights, making edge analytics accessible to a wider user base.


    New and Emerging Stars: Illuminating the Edge Path




    • Edge-Native AI Development Tools: Startups like Fiddler.ai are developing tools specifically designed for building and deploying AI models on edge devices, offering improved performance and efficiency for resource-constrained environments.


    • Low-Code/No-Code Edge Analytics Platforms: Companies like Edgeworx are addressing the skills gap by developing user-friendly platforms that enable non-technical users to build and deploy simple edge analytics applications without coding.


    • Edge Data Marketplaces and Collaboration: Startups like IoTeX are creating decentralized marketplaces for edge data, allowing businesses to securely share and monetize their edge data, fostering collaboration and unlocking new revenue streams.


    Latest Company Updates:




    • Dec 20, 2023: NVIDIA announces the Jetson AGX Orin, a powerful edge computing platform for AI-powered applications. 


    • Jan 3, 2024: Microsoft launches Azure Percept Edge, a suite of services for building and deploying AI models at the edge. 


    • Jan 9, 2024: Cisco and Siemens partner to offer an integrated Edge Analytics solution for industrial use cases.