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Artificial Intelligence Edge Computing Market to 2019-2027 by Key Companies – Cisco Systems, Huawei Technologies, Nokia Networks, Hewlett Packard Enterprise, and FogHorn, IBM, Saguna Networks, ClearBlade

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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The “Global AI Edge Computing Market Analysis to 2027″ is a specialized and in-depth study of the AI edge computing market with a focus on the global market trend. The report aims to provide an overview of the global AI edge computing market with detailed market segmentation by offering, end-user, and geography. The global AI Edge Computing market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.

The List of Companies

1. Cisco Systems, Inc.
2. ClearBlade, Inc.
3. FogHorn Systems
4. Hewlett Packard Enterprise
5. Huawei Technologies Co. Ltd.
6. IBM Corporation
7. Nokia Networks
8. Rigado, LLC
9. Saguna Networks Ltd.
10. Vapor IO

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.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global AI Edge Computing market based on the offering and end-user. It also provides market size and forecast till 2027 for overall AI Edge Computing market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM).

The AI Edge Computing market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

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.

Also, key AI Edge Computing market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information for the last 3 years, the key development in the past five years.

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Table of Content:-

1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
– AI Edge Computing Market – By Offering
– AI Edge Computing Market – By Material
– AI Edge Computing Market – By Region
o By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. AI EDGE COMPUTING MARKET LANDSCAPE
4.1. OVERVIEW
4.2. ECOSYSTEM ANALYSIS
4.3. PEST ANALYSIS
4.3.1. North America – PEST Analysis

Reason to Buy

– Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial Intelligence Edge Computing Market.
– Highlights key business priorities in order to assist companies to realign their business strategies.
– The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence Edge Computing Market, thereby allowing players to develop effective long term strategies.
– Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
– Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
– Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.