Artificial Intelligence (AI) Edge Computing Market Will Hit Big Revenues In Future | Cisco, Huawei, Nokia, IBM

Internet of Things (IoT) has taken businesses today by storm and has become one of the centric strategies for businesses to emerge as the leaders in the market. Most of the businesses have laid enhanced importance towards IoT implementations into the business models for achieving enhanced levels of customer service.

Harnessing the power of IoT, business models have witnessed a paradigm shift in their operations. With IoT, the analysis and processing remained limited to the central authority, however, with the advent of AI in edge computing, the analysis and processing power has been transferred to the edge devices.

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Competitive Landscape: Artificial Intelligence (AI) Edge Computing Market: Cisco Systems, Inc., Huawei Technologies Co. Ltd., Nokia Networks, Hewlett Packard Enterprise, and FogHorn Systems. Also, IBM Corporation, Saguna Networks Ltd., ClearBlade, Inc., Vapor IO, and Rigado, LLC are a few other important players in the AI edge computing market.

Increasing penetration of machine learning and advancements in the Artificial Intelligence technologies is anticipated to be one of the major factors driving the AI edge computing market. Higher cost of implementations coupled with weak infrastructures for AI, hinders the adoptions of this technology further posing a challenge to the growth of AI edge computing market. Encouraging advancements in the sensor technology coupled with significant investments by Governments for the development of IoT to provide new opportunities to the players operating in the AI Edge Computing market.

Based on Offering, the market has been segmented into: Hardware, Solutions, and Services, Other.

Based on End-User, the market has been segmented into: Manufacturing , Healthcare , Transportation , Government, Media & Entertainment , Energy & Utilities , Telecom & IT, and Retail, Other.

Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the AI Edge Computing market in these regions. Further, the report also includes ecosystem analysis for the AI Edge Computing market.

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The Key Highlights of the Report:
• Estimates on market size by key regions/countries, product type and application, history data from 2020 to 2027, and forecast to 2027.
• The structure of global Artificial Intelligence (AI) Edge Computing market by identifying its various sub-segments
• Analysis of the value, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
• Detailed information about the key factors influencing the growth of the market including growth potential, opportunities, drivers, industry-specific challenges and risks.

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