Artificial Intelligence (AI) in Supply Chain Market COVID – 19 Impact Analysis, Market Analysis, Leading Players, Segments Analysis and Growth by Forecast to 2027

 Market Analysis 

The artificial intelligence in supply chain market is predicted to touch USD 3-4 billion at a whopping 37% CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis. Artificial intelligence in the supply chain industry has gained rapid traction. The use of AI in the supply chain is enabling companies to automate decision making, offer better human resource utilization, improve efficiencies, improve supply chain management productivity, & helps to engage with customers in the digital world. 

Various factors are propelling the global artificial intelligence in supply chain market share. According to the recent MRFR report, such factors include the increasing adoption of computer vision technology in different industries, favorable initiatives by the government towards digitalization, growing awareness about big data analytics and artificial intelligence, perpetually growing smart devices and internet users across the globe, growing adoption of artificial intelligence to improve consumer satisfaction and services, and burgeoning demand for higher transparency & greater visibility in supply chain data & processes. 

On the contrary, lack of infrastructure, high procurement operating price, shortage of artificial intelligence technology experts, and the ongoing COVID-19 impact are factors that may impede the global artificial intelligence in supply chain market growth in the region. 

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Market Segmentation

The MRFR report highlights an inclusive segmental analysis of the global based on artificial intelligence in supply chain market based on end users, application, deployment, technology, and component. 

By component, the global artificial intelligence in supply chain market is segmented into software and hardware. The hardware segment is again segmented into network, memory, and processors. The processors segment is further segmented into ASIC, FPGA, GPU, and CPU. Of these, the software segment is predicted to lead the market over the forecast period. 

By technology, the global artificial intelligence in supply chain market is segmented into computer vision, context-aware computing, natural language processing, and machine learning. Of these, the computer vision segment will lead the market over the forecast period. 

By deployment, the global artificial intelligence in supply chain market is segmented into hybrid, on-cloud, and on-premise. 

By application, the global artificial intelligence in supply chain market is segmented into risk management, supplier relationship management, logistics and shipping, supply chain planning, warehouse management, fleet management, and others. Of these, the supply chain segment will dominate the market over the forecast period. 

By end users, the artificial intelligence in supply chain market is segmented into consumer electronics, food and beverage, manufacturing, retail, automotive, aerospace, and others. Of these, the retail sector will have a major share in the market over the forecast period. 

 

Regional Analysis 

 

Based on the region, the global artificial intelligence (AI) in supply chain industry report covers the recent trends and growth opportunities across the Asia Pacific (APAC), North America, Europe, & the Rest of the World (RoW). Of these, North America will spearhead the market over the forecast period. Advances in technology, presence of highly developed infrastructure, increasing technical expertise in the artificial intelligence technology, booming retail and e-commerce industry, demand for advanced solutions for warehouse and logistics management, and the presence of top industry players are adding to the global artificial intelligence in supply chain market growth in the region. The United States, Mexico, & Canada hold the utmost share in the market. 

 

The artificial intelligence (AI) in supply chain market in the APAC region is anticipated to have a notable growth during the forecast period. Rising market penetration of e-commerce, the growing trend of online purchase, developing digital technology and network infrastructure, and rising adoption of natural language processing and machine learning technology by technology developers to cater to the growing and custom needs of the automotive, retail, and manufacturing industry applications are adding to the artificial intelligence (AI) in supply chain market growth in the region. 

 

The artificial intelligence (AI) in supply chain market in Europe is predicted to have a healthy growth during the forecast period and that in the RoW is predicted to have steady growth over the forecast period. 

Key Players

Eminent contenders profiled in the global artificial intelligence in supply chain market report include LLamasoft, Inc., Amazon, Oracle Corporation, Logility, Inc., SAP SE, Micron Technology, Microsoft Corporation, Samsung Electronics, Xilinx, Inc., Intel Corporation, IBM Corporation, and Nvidia Corporation, among others. 

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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About Market Research Future

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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Artificial Intelligence (AI) in manufacturing Market COVID – 19 Outbreak, Trends, Size, Key Vendors Analysis, Import & Export and Revenue by Forecast 2027

 Industry Insight

The take of global artificial intelligence (AI) in the manufacturing market 2020 recorded by Market Research Future reveals that the market can hit 47.09% to the net worth with USD 14.77 billion by 2027 amid the long-term impact of COVID-19. The years of growth is calculated to be from 2020-2027.

Top Grossing Factors

The global artificial intelligence in the manufacturing market has gathered pace in its growth amid COVID-19 breakthrough with rapidly evolving industrial automation and IoT, at present. Artificial intelligence is one of the highest-growing technologies in recent years. Artificial intelligence is allied with human intelligence with similar characteristics such as understanding, problem-solving, reasoning, language, and learning. An amalgamation of AI in the manufacturing industry offers a safer operational environment, which further assists in enhancing the quality and quantity of production.

One of the main factors, such as the exponential growth in digital data, is motivating the growth of artificial intelligence (AI) in the manufacturing market. It is approximated that by the year 2020, around 1.7 megabytes of new data will be created every second. It is further approximate to expand at 40% over the next ten years. Such growth is attributed to the escalating adoption of big data technologies and IoT devices along with the ascend in popularity of cloud platforms among enterprises. All these factors are cheering the adoption of artificial intelligence solutions among the manufacturers to process the data and extract actionable insights.

Furthermore, the factor of enhancement in automation in the manufacturing industry and the rise in demand for big data integration boost the escalation of artificial intelligence in the manufacturing market. With this, prevalent usage of machine vision cameras in manufacturing applications, such as material movement, machinery inspection, quality control, and field service, is also to drive the growth of artificial intelligence in the manufacturing market for the forecast period.

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Segmentation of Market: Artificial Intelligence in Manufacturing

The study by MRFR also digs some segmentation of the global artificial intelligence in the manufacturing market, which has been done through the component, technology, application, and vertical.

In terms of component segment, the market has included software, hardware, and services.  Among these, the hardware segment has included memory, processor, and network. Also, the processor segment has covered the graphical processing unit (GPU), a microprocessor unit (MPU), application-specific integrated circuits (ASICs), and field-programmable gate array (FPGA). In the last segment, the services segment also has a breakdown into support & maintenance and deployment & integration.

In terms of the technology segment, the market has included natural language processing, machine learning & deep learning, computer vision, and context-aware computing.

In terms of the application segment, the market has included supply chain management, predictive maintenance, field services, IT management, robotics, quality control, and others.

In terms of vertical segment, the market has included aerospace & defense, automobile, semiconductor & electronics, energy & power, pharmaceuticals, food & beverage, and others.

Regional Analysis

Market Research Future (MRFR) study has covered some key countries in the regional analysis of artificial intelligence (AI) in the manufacturing market—North America, Europe, Asia-Pacific, the Middle East & Africa, and South America in the rest of the world.

Artificial intelligence in the manufacturing market is currently led by the Asia-Pacific region as the primary economic countries such as India, China, the Philippines, and South Korea are the major manufacturing centers of electronics, semiconductors, pharmaceuticals, and energy & power. Further, the escalating adoption of robots in manufacturing processes is anticipated to aid the region is leading the market throughout the forecast period. 

The region of North America is the second highest contributor to the artificial intelligence market. The US is the first adopter of new technologies for applications such as process planning, factory automation, production scheduling, and engineering design.

Artificial intelligence (AI) in the manufacturing market in Europe is also estimated to gain high momentum during the projected period owing to the mounting adoption of industry 4.0 and robotics by the automotive and aerospace industry.

Top Market Players

Market Research Future has well-known some of the key players in the global artificial intelligence (AI) in the manufacturing market are IBM Corporation, Nvidia Corporation, Intel, Inc., General Electric company, Siemens AG, Microsoft Corporation, Google, Inc., Bosch, Amazon Web Services, Cisco Systems, Rockwell Automation, Foxconn, SAP SE, and others.

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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Application Container Market COVID – 19 Analysis, Competitive Analysis, Regional and Segmental Analysis Forecast 2027

 Market Overview

The global application container market is expected to exhibit a strong 31.1% CAGR over the forecast period from 2020 to 2027, according to the latest research report from Market Research Future (MRFR). The global application container market is expected to rise to a valuation of USD 4.42 billion by 2027, according to the report. The market was valued at USD 0.89 billion in 2020. 

Application containers comprise an OS-level virtualization method used to install and run distributed applications without initiating complete virtual machines for each application. Application counters can run on cloud, bare metal systems, and virtual machines across various operating systems such as Linux, Windows, and Mac OS. Application containers include various runtime components, including files, libraries, and environment variables essential to running the respective software. The data in application containers is stored on hosts in the form of images. 

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The major driver for the global application container market is the resource consumption of application containers, which is much less as compared to virtual machines running a comparable deployment. Application containers can share resources without loading complete virtual machines for each app. This leads to considerably lower resource consumption than virtual machines running a comparable task. This leads to faster setup times as well as considerably higher agility in running operations. This has led to many companies adopting application containers in place of virtual machines in recent years. While virtual machines take several minutes to boot up the OS and run applications, application containers can run these operations instantly. This has been a major driver for the application container market over the last few years. 

The size of application counters is also a major driver for the application counter market. While virtual machines with an OS can measure up to several gigabytes, application containers can be stored in around 10 megabytes. This is a considerable difference in size and has led to application counters becoming more popular among users as compared to virtual machines. 

Competitive Analysis:

Leading players in the global application container market include Cisco Systems Inc., Red Hat Inc., Weaveworks, Mesosphere Inc., Joyent Inc., Apprenda Inc., Oracle Corporation, VMware Inc., Google LLC, Microsoft Corporation, AWS Inc., and IBM Corporation. Major players in the global application container market are likely to focus on mergers and acquisitions in the coming years in order to sustain themselves in the competitive environment. 

In January 2018, Red Hat Inc. completed an agreement to acquire CoreOS Inc. With this acquisition, the company improved its capability in helping customers build, run, and manage containerized applications in hybrid and multicloud environments. 

Segmentation:

The global application container market is segmented on the basis of service, organization size, deployment model, vertical, and region. 

By service, the global application container market is segmented into consulting, container monitoring, container security, container data management, support and maintenance, and others. 

By organization size, the global application container market is segmented into large enterprises and small and midsized enterprises (SMEs). 

By deployment model, the global application container market is segmented into cloud and on-premise. 

By vertical, the market is segmented into BFSI, healthcare and life sciences, telecommunications and IT, media and entertainment, education, and others. 

Regional Analysis:

North America is estimated to account for the largest market share in the global application container market over the forecast period. North America is home to several key market players and startups, which utilize application containers in large volume. The widespread demand for advanced technology in North America is also a major driver for the application container market in North America. Networking and software development is a major industry in North America, leading to widespread demand for application containers. Europe is also a major regional market for application containers and is likely to retain an important share in the global market over the forecast period. 

Asia Pacific is expected to grow at the highest CAGR over the forecast period.

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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https://www.techsite.io/p/2535911

About Market Research Future

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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Algorithm Trading Market COVID – 19 Outbreak, Market Segmentation, Regional Analysis, Key players Forecast Till 2027

 Market Synopsis

Market Research Future (MRFR), in its latest report on the Global Algorithm Trading Market 2020, discusses multiple factors govern the market. A complete analysis on the impact of COVID 19 on the algorithm trading market is availed along with the report. As per MRFR findings, the algorithm trading market value can exceed USD 9.2 billion on the conclusion of the analysis period. The algorithm trading market is expected to thrive at 12.5% CAGR in the forecast period. The surge in the application of automated trading software by top notch financial firm can support the market rise. 

Market Segmentation

The segment evaluation of the global algorithm trading market is done by organization size, trading type deployment mode, and component. 

The component based segments of the global algorithm trading global market are solutions and services. The solution segments are platform and software tools. The services segments of the algorithm trading global market are professional services and managed services. The increase in the need for algorithm trading services and solutions can impel the rise of the market. 

The trading type based segments of the algorithm trading market are stock markets, foreign exchange, bonds, exchange-traded funds, and crypto currencies. The deployment mode based segments of the algorithm trading global market are cloud and on-premise. The high utility of algorithm trading on cloud platform can promote the expansion of the algorithm trading global market through the analysis period. The organization size based segments of the algorithm trading global market are large enterprise and SMEs. The increase in the adoption of algorithm trading solution by SMEs can support the rise of the market across the analysis period.  

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Regional Analysis

The trends of the algorithm trading market is done across EU, North America, Middle East and Africa, APAC, and South America.

The presence of effective technologies across the North America region is expected to bolster the rise of the regional market. The algorithm trading market in North America is likely to hold the highest share of the global market across the forecast period. The availability of top notch technical expertise and the continuous development in algorithm on Python, MATLAB, Perl, C++, and JAVA can impel the rise of North America algorithm trading market. In Asia Pacific, the rise of the algorithm trading global market through the assessment period can be credited to the continuous digital transformation in the financial sectors. The rise in the dependency on cloud computing is anticipated to support the rise of the algorithm trading market across the assessment period. In addition, the ability of trading software to function on multiple platforms such as mobile and desktops devices can promote the expansion of APAC market. In Europe, the growing popularity of software as a service (SaaS) models that enable end users to store and easily accesses data on devices can promote the rise of the regional market in the years ahead. The higher scalability and accessibility offered by cloud-based trading software can promote the expansion of the regional market. Europe algorithm trading platform market expansion can be attributed to the increase in the integration of machine learning and artificial intelligence in algorithm trading platform. 

Key Players

Tethys (US), Kuberre Systems (US), Thomson Reuters (US), Symphony Fintech (India), InfoReach (US), 63 moons (India), Argo SE (US), Automated Trading SoftTech (India), Vela (US), MetaQuotes Software (Cyprus), Trading Technologies (US), Tata Consulting Services (India), Tata Consulting Services (India), QuantCore Capital Management (China),  uTrade (India), Virtue Financial (US), iRageCapital (India), and Software AG (Germany) are some notable names in the Automated Algorithmic Trading System market as profiled by MRFR. 

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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https://www.techsite.io/p/2535897

https://www.spoke.com/topics/commerce-cloud-market-trends-covid-19-outbreak-market-synopsis-market-segments-and-regional-analysis-by-forecast-2027-612cd8e238537b53ad002008

About Market Research Future

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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AI in Insurance Market COVID – 19 Impact Analysis, Market Overview, Applications Analysis and Competitive Analysis by Forecast to 2027

 Market Overview

The penetration of AI in insurance processes, especially in developed economies, is estimated to bolster the in the insurance market 2020. The ICT industry reports are produced by Market Research Future, which highlights market options for expansion. An impressive CAGR is forecasted for the global market in the forecast period.

The requirement of staying competitive in the market is forecasted to spur the AI in the insurance market share in the future. The escalating quantity and pace of data generation are anticipated to benefit AI in the insurance market in the approaching period.

Segmental Analysis 

The segmental review of the AI in the insurance market has been carried out on the basis of application, technology, deployment, component, and sector. Based on the technology, the AI in the insurance market has been segmented into natural language processing (NLP), machine vision, machine learning, robotic automation, and deep learning. On the basis of component, the AI in the insurance market has been segmented into software, hardware, and services. Based on the deployments, the AI in the insurance market has been segmented into on-premise and on-cloud. The application-based segmentation of the AI in the insurance market includes personalized recommendation, risk management, and compliance, claims processing, chatbots, and others. By the sector, the AI in the insurance market has been segmented into health insurance, life insurance, title insurance, auto insurance, and others.

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Detailed Regional Analysis 

The regional evaluation of the AI in the insurance market includes regions such as Europe, the Middle East, South America, Asia-Pacific, North America, and Africa. The regional market in North America presently leads the global market. The US is credited for the biggest market share due to an extremely skilled workforce in enterprises and research & development ability, intended at developing AI technologies for insurance process quality. The European region comes second in the global market due to the growing adoption of digital technologies to automate business processes is inspiring the market growth in the European region. The Asia-Pacific regional market is expected to be the fastest-growing region in the forecast period. The AI in insurance market in the Middle Eastern & African and South American regions is also anticipated to develop at a considerable rate throughout the forecast period.

Competitive Analysis

The stress on enhancing the production potential and upgradation of the workforce are the top priorities to reinvigorate the development potential of the market in the coming period. The competitors present in the market are recalibrating their market share to open up new areas of development in the market. The establishment of robust distribution channels is estimated to define the development of the market in the future. The investment in robotic elements in the supply chain is estimated to be seen in the future to reduce the impact of the human capital on the long term market expansion. The state of the market is extremely indecisive due to the effect of the macro factors operating in the global economy. The road to the resurgence of the market is estimated to be extensive and arduous due to the degree of setbacks it has suffered. The prospects for growth in the market have to be carefully sought out and examined to ensure that they will ensure the favorable development of the market in the coming period. 

The outstanding contenders in the  AI in insurance market are PolicyPal (Singapore), Insurmi (US), Planck Re (US), Microsoft Corporation (US), IBM Corporation (US), Wipro Limited (India), BIMA (UK), Quantemplate (US), Cape Analytics LLC (US),  Zurich Insurance Group (Switzerland), Amazon Web Services Inc. (US),Lemonade (US), Trov (Japan), ZhongAn (China), Acko General Insurance (India), Shift Technology (France), Slice (US), Insurify (US), Avaamo Inc (US), and Tractable (UK) are some of the other players in the market. 

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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About Market Research Future

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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Adaptive Optics Market COVID – 19 Outbreak, Market Overview, Applications Analysis and Key Players Forecast to 2027

 Market overview

The global adaptive optics market 2020 was valued at USD 215.7 million in 2020 and is expected to reach USD 1.8 billion in 2027, with a substantial CAGR of 31.3%, according to a new research report by MRFR.

Drivers and Restraints

One of the key growth factors driving the adaptive optics market includes the growing investment in optical solutions and advanced optics research and development. In addition, the increasing demand for adaptive optics in the healthcare sector and the expanded use of adaptive optics in applications such as astronomy, aerospace, and cellular imaging are accelerating market development.

Adaptive optics provide real-time image corrections and likely provide sharper imagery. This has a major influence on various vertical facets of the industry such as aerospace & defense, industrial engineering, healthcare, and many others. Using A.O. Technology and its various advantages are incredibly useful because they include minute information in these verticals of the industry. Growing investment in research and development between the various verticals of the industry is expected to have a major effect on the sector. A major growth factor is the demand for high-resolution imagery for higher science learning purposes, as well as increasing work in the healthcare field. In addition, the growing use of adaptive optics in applications like astronomy and aerospace is also promoting market development.

Designs that incorporate adaptive optics are extremely complex and require a high degree of expertise, which is somewhat lacking, thereby restricting growth in the market. In addition, the high initial cost of investment is projected to adversely affect the market. Nonetheless, the momentum that continues in the A.O. Technology and the need for clear and accurate photos are expected to expose opportunities in the years ahead.

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Segmental Analysis

By component, the market is segmented into wavefront sensors, mirrors, wavefront modulator, control systems, and others. By type, the market is segmented into multi-object adaptive optics (MOAO),natural guide star adaptive optics (NGAO), multi-conjugate adaptive optics (MCAO), laser guide star adaptive optics (LGAO), ground-layer adaptive optics (GLAO). By the end-user, the global market is segmented into healthcare, military & defense, manufacturing, consumer electronics, I.T. & telecommunication, and others. 

Regional Analysis

Based on the region, the market is segmented into North America, Europe, Asia-Pacific, and the rest of the world.

Among these regions, North America is dominating the market due to the extensive application scope of adaptive optics in various industries. In North America, countries like the U.S. and Canda win the substantial market share due to ongoing developments in optics and related technologies. These countries are considered to be the early adopters in North America and internationally of adaptive optics solutions. With its high military budgets and well-developed industrial military infrastructure, the United States continues to use techniques such as adaptive optics, along with other applications, to develop high-energy laser systems. American spending on defense is expected to remain very high, and it is expected to drive the advancement of modern defense technologies through adaptive optics.

On the other hand, Europe closely follows North America in the adoption of adaptive optic solutions. Many corporations in Europe are investing and partnering with leading optics enterprises to have an integrated solution with their product line-up. Adaptive optics offers a potential opportunity for various enterprises, industries, and governments in Europe.

Key Players

The global adaptive optic market players, as identified by MRFR are Aplegen Inc. (U.S.), Benchmark Electronics Inc. (U.S.), Boston Micromachines Corporation (U.S.), Phasics Corp. (France), Holoeye Photonics AG (Germany), Thorlabs Inc. (U.S.), Northrop Grumman Corporation (U.S.), Adaptive Optics Associates Inc. (U.S.), Synopsys Optical Solution Group (U.S.), Sacher Lasertechnik Gmbh (Germany). Other players in the adaptive optics market include Iris AO Inc. (U.S.), Adaptica S.r.l. (Italy), Active Optical Systems LLC (U.S.), Teledyne e2v (U.K.) Ltd (U.K.), Flexible Optical B.V. (Netherlands), Imagine Optic S.A. (France), Edmund Optics Inc. (U.S.).

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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https://www.articletrunk.com/byod-security-market-covid-19-analysis-top-impacting-factors-segmentation-regional-outlook-forecast-2027-3/

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About Market Research Future

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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5G IoT Market Research Report COVID-19 analysis, Outlook, Strategies, Industry Analysis, Future Scope, Key Drivers and Forecast To 2027

 Market Overview

The global 5G IoT market is not just growing but proliferating rapidly. Market growth attributes to the rising demand for Internet connectivity with high reliability. Besides, the growing use of Internet-connected devices and government initiatives for smart cities drive the market demand. Moreover, the continually rising demand for connectivity with low latency and higher download & upload speeds over the mobile network escalate market growth. 

According to Market Research Future (MRFR), the global 5G IoT market is projected to garner a valuation of approximately USD 7.9 BN by 2027 at a massive CAGR of 53% throughout the assessment period (2020 – 2027). The rising adoption of cloud-based services and demand for expanded access to 5G IoT ultra wideband service performance is growing rapidly. 

Due to the recent coronavirus outbreak, the global telecom industry reportedly has faced major delays in the launch of fifth-generation mobile services. Additionally, the regulatory timelines lag and delayed issuance of spectrum and auctions have increased the market demand exponentially. Furthermore, lockdowns and movement restrictions have affected the business operations of equipment manufacturers leading to a shortage of components.

Most countries have postponed their expenditure plans for later, which, in turn, affect the consumers and business organizations, presenting limited/unavailability of network service challenges. Additionally, the high cost associated with the implementation of the 5G infrastructure acts as a major headwind for the growth of the market. 

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Segmental Analysis

The report is segmented into five dynamics; 

By Service: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine-Type Communications (mMTC).

By Technology: 5G New Radio (NR) Standalone Architecture and 5G New Radio (NR) Non-Standalone Architecture. 

By Type: Short-Range IoT Devices and Wide-Range IoT Devices. 

By Vertical: Consumer Electronics, Automotive, Railway, Mining, Utilities, Healthcare, Agriculture, Manufacturing, and others.

By Regions                          :  Europe, Americas, APAC, and Rest of the World.

Regional Analysis

North America dominates the global 5G IoT technology market. The largest market share attributes to the increase in the demand for 5G IoT services across industry verticals in this region. Besides, the rising demand for Internet connectivity with high reliability and the rapid adoption of Internet-connected devices drive the regional market's growth. Moreover, the presence of key technology providers, such as AT&T (US), T-Mobile USA, Verizon (US), and others, contributes to the regional market growth.

Substantial R&D investments by key players to advance 5G technology, spectrum licenses, and essential infrastructure for network connectivity in the region further propel the market growth. The US, followed by Canada and Mexico, hold considerable shares in the regional market. Also, various telecom companies in the region and the rising uptake of the latest technologies, such as IoT, substantiate market growth.

Europe stands second in the global 5G IoT technology market. Market growth is driven by the increasing adoption of IoT technologies in the manufacturing sector. Additionally, rapid developments in the automotive sector, such as trials being conducted for driverless vehicles, boost the market demand. Rigorous R & D activities in the region and ongoing customer trials in countries such as the UK, Germany, and France positively contribute to market growth.

The Asia Pacific region is a promising market for 5G IoT services. Factors such as the increasing focus on improving connectivity and high R&D investment in the region influence market growth. Furthermore, technical expertise, strong presence of key players, and increased industrialization foster the growth of the market. Moreover, the rising demand for 5G IoT services in emerging countries such as South Korea and Japan propels the growth of the regional market.

Key Players

Highly competitive, the global 5G IoT technology market appears fragmented due to the presence of several major technology providers. To gain a substantially larger market share, 5G IoT technology providers adopt strategies such as mergers & acquisitions, collaboration, expansion, and product & technology launch. Technology providers make substantial investments in transforming the consumer and business landscape in the future. 

Major Players: 

Players leading the global 5G IoT market include Nokia (Finland), Telefonaktiebolaget LM Ericsson (Sweden), Huawei Technologies Co., Ltd. (China), T-Mobile USA, INC (US), AT&T (US), Verizon (US), Telefónica S.A (Spain), Vodafone Limited (UK), BT (UK), Telstra Group (Australia), Sierra Wireless (Canada), Etisalat (UAE), Qualcomm Technologies, Inc. (US), Bell Canada (Canada), Singtel (Singapore), and Rogers Communications Inc. (Canada), among others.

Industry/ Innovation/ Related News

November 14, 2020 ---- Oman ministry of finance (MoF) announced its partnership with Swedish telecommunications company Ericsson to develop the 5G IoT Center. MoF, in partnership with Ericsson, would open a center of excellence (CoE) to explore the full potential of telecoms technologies and facilitate 5G and IoT in the country. The MoF also signed a cooperation program with the Ministry of Higher Education, Research and Innovation, and operator Omantel to establish the CoE to diversify its economy.

Ericsson would give technical support and conduct training & mentoring programs for telecom community members, university students, and researchers & innovators. It would also support the research project developments with5G and IoT applications, keeping pace with global developments in telecommunications technology and IoT.

Access Report Details @ https://www.marketresearchfuture.com/reports/5g-iot-market-10367

Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

Continued…

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