AI in Hardware Market New events in technology and market size forecast by 2027 | Microsoft, Apple

The new study on the Global AI in Hardware Market 2021-2027 analyzes the crucial capabilities, key infrastructures, major organizations, evaluates measures to attain potential success in the AI in Hardware industry. Because of the in-depth overview of the world AI in Hardware market, the recent document allows investors, traders, and manufacturers to plan some innovative techniques, and meanwhile, align them with operational and commercial enterprise models. Additionally, the AI in Hardware market report provides crucial facets at the technological modifications that gained the market, competitive environment, behavioral updates, and so on.

The global AI in Hardware market exhibited moderate growth during 2021-2027. Looking forward, the market to grow at a CAGR of around 18.9%.

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In regards to explaining powerful insights of the global AI in Hardware market, the research report permits the investors and stakeholders to grab different techniques to extend distinct commercial patterns and practices. Besides this, the market report offers important statistics about the worldwide AI in Hardware market such as opportunities, threats, main drivers, and key restraints of the AI in Hardware market in the period of the years 2021-2027.

Market Overview:

During 2018 it is estimated that about 212 million edge AI hardware was shipped and the figure is expected to reach a billion units by 2020. Rapid growth in the number of edge computing products and services, increasing real-time low latency on edge devices are some of the major influencing factors for the growth of edge AI hardware market. Notably, the need for edge computing in IoT and dedicated AI processors for on-device image analytics are the promising areas of market advancement in the edge AI devices.

The leading market players listed are:

Nvidia Corporation, Intel Corporation, Qualcomm Inc., Samsung, Xilinx, Inc., AMD, Microsoft, Apple

Types of Products:

Smartphone
Wearable Product
Workstation Systems
Imaging Systems
Others

Application spectrum:

Consumer Electronics
Automotive
IT and Telecom
Retail
Others

Industrial News:

March 2019 -  NVIDIA published Jetson Nano, an edge computing production for machine learning (ML) inferencing. It enables the development of millions of new small, low-power AI systems in embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots.
May 2019 - Kneron, an AI startup focussed on edge AI solutions unveiled 3D artificial intelligence solution and edge AI chip KL520 with n idea to provide AI solutions for the smart home, smart surveillance, smartphones, robots, drones, and IoT devices. 
September 2018 - Intel in collaboration with Alibaba Cloud launched a Joint Edge Computing Platform. Enterprises would be able to develop customizable device-to-cloud IoT solutions for different edge computing scenarios with the help of the platform, including industrial manufacturing, smart building, and smart community.

Regions and Countries Level Analysis:

Asia-Pacific region is expected to experience the highest growth rate in the global edge AI hardware market. The growing penetration of smartphones in China, Japan, India, and South Korea is expected to increase the adoption of AI processor-enabled smartphones. Moreover, the region is also the most significant market for surveillance cameras owing to the tightened control over the Internet and digital communication by the governments in the respective countries.
China is the largest market in the region, followed by Japan. Presence of several significant vendors in the automobile, electronics, and semiconductor companies, who are investing significantly in the AI technology, is driving the growth of the edge AI hardware market in the region. During a one-month period between June and July 2018, Beijing Municipal Commission of Economy and Information Technology counted around 4,040 AI companies in China. Besides, the presence of a large number of manufacturing companies makes the region an attractive market for industrial robots that implements AI technology.

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Market Analysis:

Governmental bodies across the world, are embracing advanced technologies to address the important aspect of ensuring the security and safety of citizens. Surveillance serves to be a key factor in the process. Some of the major devices for edge AI hardware used by government agencies for the purpose includes surveillance cameras and drones.
With the ever-increasing population, environmental damage, and criminal activities, cities are facing new challenges each day, and this has resulted in the need for surveillance cameras. These are very much required for the prevention of incidents such as crime, burglary, and vandalism. Besides, governments also use surveillance cameras for enforcement of the law by analyzing the behavior, face recognition. 

Research Objectives:

To study and analyze the global AI in Hardware consumption (value) by key regions/countries, product type and application, history data from 2021 to 2027, and forecast to 2027.
To understand the structure of the AI in Hardware market by identifying its various subsegments.
Focuses on the key global AI in Hardware manufacturers, to define, describe and analyze the value, market share, market competition landscape, Porter's five forces analysis, SWOT analysis, and development plans in the next few years.
To analyze the AI in Hardware with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges, and risks).
To project the consumption of AI in Hardware submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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Scenario for Covid-19:

Several countries' companies and manufacturing facilities were harmed during the pandemic's early closure. Deferred facilities and disrupted supply chains were the biggest impediments to market expansion at the time.

Nonetheless, most of the regions have improved or are recovering as a result of the mandatory preventative measures in place to limit the disease's spread. Vaccination efforts are also growing increasingly popular in the region, which is assisting the sector's growth.

Customization:

The Global AI in Hardware market report may be modified to meet your specific business needs. Because we understand what our clients want, we provide 25% customization for any of our syndicated reports at no additional cost to all of our clients.

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