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Thursday, July 1, 2021

Algorithm Trading Market Trends, Key Vendors Analysis, Import & Export, Revenue by Forecast 2027

Overview

The algorithm trading market is projected to grow at a CAGR of 12.5% during the forecast period. As per the algorithm trading market research report, the global market for algorithm trading is projected to grow swiftly by US$20.9 billion by 2027. According to analysts, the increase in adoption of automated trading software as well as increase in the demand will drive the market growth during the forecast period. The algorithm trading market research report offers a comprehensive analysis of the global algorithm trading market and its organization size, region, trading type deployment mode, and component segments. The demand for high technical expertise along with absence of standard benchmarks are the elements that could influence the algorithm trading market advancement throughout the forecast period. The algorithm trading market research report by expert analysts is developed to assist organizations in the algorithm trading market.

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Market Segmentation

The global algorithm trading market has been segmented based on organization size, region, trading type deployment mode, and component. On the basis of organization size, the market for algorithm trading is segmented based on large enterprise and small and medium enterprises. Additionally, the market on the basis of trading type, is segmented into bonds, cryptocurrencies, exchange-traded funds, stock markets, and foreign exchange. The global market for algorithm trading is also covered based on the deployment mode segment which is further split into cloud and on-premise. On the basis of components, the market for algorithm trading is segmented based on solutions and services.

Major elements such as lack of transparency could obstruct the algorithm trading market growth. However, according to the algorithm trading market research report, new opportunities for liquidity along with digital transformation across financial sectors will propel growth throughout the forecast period. The algorithm trading market is set to register growth at a high CAGR owing to these key factors. The exploration of organization size, region, trading type deployment mode, and component segments along with regional markets has been given in the global algorithm trading market research report. The research analysts studying the algorithm trading market have put out market forecasts in the algorithm trading market research report in order to support algorithm trading market-based companies. The algorithm trading market research report provides an extensive understanding of the algorithm trading market based on the information and forecasts till 2024.

Regional Overview

North America, Europe, Asia Pacific and the rest of the world regional market for algorithm trading are predominantly covered in the global algorithm trading market research report. Country-level algorithm trading markets spread across North America – the United States, Canada, and Mexico are also covered in the report. In South America – Brazil and other country-level algorithm trading markets are covered in the report. In Asia-Pacific (APAC) region, the country-level algorithm trading markets covered are Japan, India, China, and others. The algorithm trading market research report also explores the regional market for algorithm trading present in Europe in the United Kingdom, France, Italy, Spain, and Germany, etc. The algorithm trading market research report also covers regional markets from the rest of the world alongside algorithm trading markets of Africa and the Middle East.

Competitive Landscape

Cloud-based trading software solutions are presumed to drive the algorithm trading market growth worldwide. The global algorithm trading market could be challenged by technical limitations and lack of infrastructure to support data visibility, nevertheless, organizations in the algorithm trading market will carry the growth rate forward. The algorithm trading market research report presents company profiles of major companies active in the algorithm trading market globally. Furthermore, the global algorithm trading market report offers an all-inclusive analysis of the market collected from the algorithm trading market’s primary and secondary sources covering both decision makers and thought leaders. The algorithm trading market research report highlights such key areas assisting businesses operating in the algorithm trading market to build better growth strategies.

Industry News

The US investment bank Citi has unveiled a new trading network for all major US, European and Asian Pacific exchanges with a set of execution algorithms for future markets. The latest plattform contains benchmarking algos such as TWAP, VWAP and Near, other methods and intelligent order forms. Benchmarking algos include the TWAP. Its flagship algorithm is a technique known as Arrival that has been built from scratch on the platform. The bank also added that Arrival was planned to reduce the difference by reducing in real time, through different market conditions, the cost trade between market effect and volatility.

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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 Scenario, Leading Players, Segments Analysis and Growth by Forecast to 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 2024 amid the long-term impact of COVID-19. The years of growth is calculated to be from 2019-2024.

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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.

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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3D Reconstruction Technology Market Business Revenue, Future Scope, Market Trends, Key Players and Forecast To 2027

3D Reconstruction Technology Market: By Construction Method (Active, Passive), Type (3D reconstruction software, based on images and video), Application (Computer aided geometric design (CAGD), computer graphics, digital media) – Global Forecast till 2027

Market Highlights

The global 3D reconstruction technology market share is projected to witness a rapid growth during the forecast period. Further, 3D technology offers a wide array of applications in various industries, namely consumer products, industrial products, defense & aerospace, automotive, healthcare, education & research and others. The market has been analyzed across different geographic regions including North America, Europe, Asia Pacific and Rest of the World.

The global 3D Reconstruction Technology market, by geography, is segmented into North America, Europe, Asia Pacific, and Rest of the World. As compared to other regions, the 3D Reconstruction Technology market in North America region is expected to witness a significant growth and hold the largest market share during the forecast period. The growth of the market in North America is driven by strong demand from aerospace and defense, healthcare, education, and consumer products industries. Additionally, the strong government support and presence of key manufacturers are further expected to add to the growth of the market in this region. The U.S. held the largest share of the North American 3D reconstruction technology market.

In the global 3D Reconstruction Technology market, Asia Pacific is anticipated to witness a relatively faster adoption at the highest CAGR during the forecast period as compared to other regions. Due to the high adoption of 3D Reconstruction Technology in the automotive sector and factors such as strongest growth potential and presence of major manufacturing hub. Emerging economies from the developing nation such as China and Southeast Asian countries is expected to be the main driving factor for the growth of the market.the market is likely to show immense growth in the coming future.

The global 3D Reconstruction Technology market is projected to reach USD 684 million at a CAGR of over 23% by the end of the forecast period 2020-2027.

Taste the market data and market information presented through more than 30 market data tables and figures spread over 100 numbers of pages of the project report. Avail the in-depth table of content TOC & market synopsis on “3D Reconstruction Technology market Research Report-Forecast to 2027”.

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3D Reconstruction Technology market Segmentation:

The global 3D reconstruction technology market is segmented by construction method, type and application. On the basis of construction method, the market is segmented into active and passive. And on the basis of type, the market is segmented into 3D reconstruction software, based on images and video, based on 3D scanning. And by application segment, the market is segmented into culture heritage and museum, films & games, 3D printing, drones and robots. Computer aided geometric design (CAGD), computer graphics, computer animation, computer vision, medical imaging, computational science, virtual reality, digital media and other.

Some of the prominent players in the global 3D Reconstruction Technology market are Pix4D (Switzerland), Agisoft PhotoScan (Netherlands), Autodesk (U.S.), Acute3D/Context Capture (Now part of Bentley Systems) (U.S.), PhotoModeler/Eos Systems Inc (Canada), Photometrix, Elcovision/PMS AG (Australia), Matterport (U.S.), 4Dage Technology (China), Shenzhen Zhineng (China), Shixian Technology (China) and others.

Market Research Analysis:

North America market accounts for highest share in the 3D Reconstruction Technology market, whereas Asia Pacific market is projected to acquire highest share during the forecast period. The North American market is witnessing rapid growth due to technological advancements and increasing demand for 3D technology across different industry verticals in this region. The U.S. holds majority of the market share both in terms of revenue as well as adoption of advance solutions.

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AI in Insurance Market Global Trends, Size, Shares, Strategy, Applications Analysis and Growth by Forecast to 2027

Market Overview

Market Research Future (MRFR) report on the global AI in the insurance market (2020-2027) addresses the COVID-19 analysis of a critical factor affecting the market growth. The research examines competition in the regional and global markets, providing a holistic evaluation of factors that could have a significant impact on the industry's outlook over the forecast period.

Artificial Intelligence is affecting every step of the insurance value chain. AI technologies like machine vision, machine learning and deep learning, natural language processing (NLP), and robotic automation can re-imagine the entire insurance lifecycle from customer acquisition to claims processing. Adopting AI allows insurance companies to stay competitive on the market, drive operational excellence, and boost growth.

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Market Dynamics

Machine learning and deep learning algorithms help drive smart, automated applications like healthcare diagnosis, predictive maintenance, customer service, self-driving cars, automated data centers, and smart homes. The rising need to offer personalized insurance services and automate the operational process are factors propelling the growth of Artificial Intelligence in Insurance industry around the globe. AI technologies are capable of managing vast quantities of customer and enterprise data and different tasks more efficiently and reliably compared to humans, enabling insurance professionals to concentrate more on challenging and high-value activities. AI is becoming an expert at recognizing faces or images and spoken language with the aid of technologies like NLP and computer vision that give intuitive experience. In addition, the increasing acceptance of IoT technology is also expected to fuel market growth. Growing volume and speed of data generation with the adoption of IoT is anticipated to push the need to automate the process of generating actionable insights using advanced machine learning and deep learning algorithms.

Nevertheless, the lack of technical expertise related to complex AI algorithms is hindering market development. The industry is looking for opportunities for advances in machine learning and deep learning algorithms. Whereas the risks associated with data leakage and cybersecurity breaches are significant challenges facing the industry.

Interactive insurance chatbots, insurance analytics, customized claims settlements, behavioral premium pricing, fraud, and risk management are various AI cases in the insurance industry. Adoption of UAVs and smart devices for extreme surveillance are the prevailing trends in the market. The insurance industry is expected to be mainly impacted by technologies such as blockchains and big data analytics.

Market Segmentation

The global market for AI in the insurance has been segmented into components, technology, deployment, application, and sector.

By component, the global AI in the insurance market has been segmented into hardware, software, and services.

By technology, the global AI in the insurance market has been segmented into machine learning and deep learning, machine vision, robotic automation, and natural language processing (NLP).

By deployment, the global AI in the insurance market has been segmented into on-cloud and on-premise.

By application, the global AI in the insurance market has been segmented into claims processing, chatbots, risk management and compliance, personalized recommendation, and others.

By sector, the global AI in the insurance market has been categorized into life insurance, health insurance, title insurance, auto insurance, and others.

Regional Analysis

By region, the global AI in the insurance market has been segmented into North America, Asia Pacific (APAC), Europe, the Middle East and Africa, and South America.

North America dominates the global Artificial Intelligence (AI) in Insurance market. The region is an early adopter of emerging technologies and a hub for a variety of AI solution providers. Among all the nations in the region, the US has the largest market share due to its highly skilled workforce in enterprises and research and development capabilities, aimed at developing AI technologies to improve the efficiency of the insurance process. Europe trails North America in terms of market share; it is estimated that there will be substantial growth in the global AI in the insurance market.

The Asia Pacific is expected to be the fastest-growing region in the forecast period. Government initiatives promoting digitalization and growing investment in advanced technologies like AI and IoT are rising demand for AI across the insurance industry. The global AI in the insurance market in the Middle East & Africa and South America is also expected to expand at a notable pace during the forecast period due to the increasing need to automate the insurance process and provide personalized insurance services to help companies retain a competitive edge in the market.

Key Players

The prominent participants active in the global market of AI in insurance are Microsoft Corporation (US), ZhongAn (China), Amazon Web Services Inc. (US), IBM Corporation (US), BIMA (UK), Avaamo Inc (US), Cape Analytics LLC (US), Acko General Insurance (India), Shift Technology (France), Quantemplate (US), Zurich Insurance Group (Switzerland), Lemonade (US), Wipro Limited (India), Trov (Japan), and Slice (US).

Insurify (US), Planck Re (US), Insurmi (US), PolicyPal (Singapore), and Tractable (UK) are some of the other participants in the market.

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Application Container Market Leading Growth Drivers, Emerging Audience, Segments, Sales, Profits & Analysis

Overview

The Global Application Containers market is on the verge of striking growth, according to all projections. The reason behind the growing popularity of application containers is the difference in occupying space between them and a virtual machine (VM). A VM usually weighs up to several gigabytes when an application container is merely 10 megabytes in size. That is the reason virtual machines take a longer time to boot. Based on that, there is a huge user shift towards application containers. The user demands eventually uphold the Application Container market across the globe.

Application containers are highly in demand for their vast utilization phenomenon. Application containers are much more user-friendly. Application containers are considered one of the best visualization platforms to run and install the shared application. Application containers allow the user to avoid the delayed process of the virtual machine. Users of the different OS can access application containers. Thus, the Application Container Market size increases among different system users. A prediction quotes a CAGR of 31.1% for Application Containers between the forecast periods 2020-2027. At that rate Application Container market is estimated to reach USD 4.42 billion within two years from now.

Application containers are gaining popularity among enterprises because they help them utilize their core competencies. Several factors like network connectivity, end-to-end services, customer relations, security functioning become well when enterprises employ application containers. The Container Application market is expanding on the shoulders of multinational enterprises who adopted their services. Globally the market for application containers is rising for its vast utility among all kinds of users. From reducing run time to curtailing storage size, the application containers improve the end-user's overall experience. The Application Container market size henceforth is expected to maintain a steady growth forward.

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Market Segmentation

The market for application containers has a vast spread segment of functioning. Depending on various parameters, the segmentation is observed. For instance, based on services, the Application Container market can be segmented into Monitoring, Security, Data management, Consulting, etc. Based on the deployment model, the market has Cloud and On-premise segments. Basing on organization size, it has Large enterprise and SME segments. The container application market can be segmented into North America, Asia-Pacific, and Europe based on the user location. The market is segmented into BFSI, IT and Telecom, Media and Entertainment based on the vertical of usage. The Global Application container market, like the vast segmentation, is huge and fosters signs of tremendous growth.

Regional Overview

The Application container market size is estimated to grow depending on the regional segment by a lot. The market in North America, Europe, and Asia-Pacific is supposed to reach a business peak between the 2018 to 2023 forecast period. North America has one of the largest markets in the world for application containers. The North American countries and enterprises very fast adopted the latest technologies of application containers. Several important key players, organizations, and start-ups have expanded the market for application containers. The global Application Container market has a strong influence on the business they generate from Asia-Pacific countries. Especially China, Japan, Singapore, India plays important roles in the expansion of the market.

Industry News

After the emergence of the COVID-19 pandemic, the global internet, and data usage is bigger than ever. The COVID-19 has affected the market of container applications immensely. Several important key players of the Container Application Market have adopted the technologies of application containers more than ever. The information age welcomes the sophisticated technologies of the application container. However, it is expected that the market of container applications will soon revive from the loss that it faced during the COVID-19 outbreak.

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Bare Metal Cloud Market Challenges, Size, Growth, Key Vendors, Drivers, Trends and Forecast to 2027

Market Overview

According to Market Research Future (MRFR), the global bare metal cloud market is expected to expand from USD 1.52 billion in 2020 to USD 7.73 billion by 2027, with a CAGR of 31.12% from 2020 to 2027 (forecast period). The report offers a systematic and rigorous evaluation of the effect of COVID 19 on current and future economic conditions. The report addresses some of the key market factors that will impact the growth of the sector, such as market share, the emerging region, and key players.

Bare Metal Cloud is a public cloud service alternative built directly on hardware without the need for virtualization. It is primarily used to improve storage capacity, conduct data-intensive computing operations, and deliver efficient high-performance, latency-sensitive workloads across multiple platforms.

A bare metal cloud server is provided via a Metal-as-a-Service (MaaS) model dedicated to a single tenant. Workloads are deployed in this cloud type to servers that are pre-configured with client-specific specifications and performance capacity. Bare metal cloud servers offer high performance, high availability, and cost-effective infrastructure services.

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Market Dynamics

Rising use of data-intensive applications that are latency sensitive, increasing demand for flexible, effective, and on-demand cloud service applications, and the need for increased processing power and input/output operations per second are some of the factors stimulating the expansion of the bare metal cloud market.

Market Segmentation

The global market for bare metal cloud has been segmented based on service type, organization type, and vertical.

Based on the service type, the global bare metal cloud market has been segmented into database services, computing services, networking services, identity, and access management services, volume and object storage services, and others. Computing services are the most common bare metal cloud service among cloud-based companies that ensure the proper functioning of their data center operations. Computing services include data-intensive computing operations, mission-critical applications, large Random-Access Memory (RAM) & Non-Volatile Express Memory (NVMe), and Solid-State Drives (SSDs).

Based on organization type, the global bare metal cloud market has been segmented into small and medium enterprises and large enterprises.

On the basis of vertical, the global bare metal cloud market has been segmented into BFSI, government, manufacturing, healthcare, IT and telecommunication, retail, and others.

Regional Analysis

The geographical analysis of the global bare metal cloud market is done for Europe, Asia Pacific (APAC), North America, and the rest of the world.

North America, trailed by Europe, is projected to dominate the bare metal cloud market, as these regions are sustainable and well-established economies that invest extensively in emerging technologies like Internet of Things (IoT), DevOps, Big Data, Mobility and Social Media. In addition, public sector cloud initiatives such as CloudFirst and the trusted cloud will drive growth in these regions during the forecast period.

Asia Pacific is set to rise at the highest CAGR during the forecast period due to significant cloud initiatives undertaken by various countries such as Australia, China, and Singapore (G-Cloud)

Key Players

The industry giants in the bare metal cloud market are significant vendors such as IBM Corporation (U.S.), Internap Corporation (U.S.), Oracle Corporation (U.S.), CenturyLink, Inc. (U.S.), and Rackspace Hosting, Inc. (U.S.). The other critical innovators in the market are Dell Technologies, Inc., Scaleway Inc., Spotinst, Joyent, Inc., Bigstep, and Strom.

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5G Chipset Market Key Players - Cadence Design Systems, Mentor Graphics, Synopsys, Agilent by Forecast to 2027

Overview:

The global 5G chipset market share is set to cross USD 9.22 billion, with a 41.2% CAGR during the forecast period of 2020 to 2027. Market Research Future (MRFR) marks growing automation, use of IoT, expansion in data center network, hike in bandwidth, advanced antenna technology, participation from mobile operators, machine to machine communication, and others as the major traction providers.

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Segmentation:

The global 5G chipset market, as discussed by MRFR analysts, has been studied on the basis of a segmentation that includes the product, operational frequency, type, and verticals.

By type, the market includes radio frequency integrated circuit (RFIC), cellular integrated circuit, application-specific integrated circuit (ASIC), and millimeter-wave integrated circuit.

By operational frequency, the market comprises 26–39 GHz, below 6 GHz, and 39 and above GHz.

By product, the market encompasses customer premise equipment and network infrastructure equipment.

By vertical, the market discusses IT & telecommunication, retail, government, automotive & transportation, healthcare, industrial, energy & utilities, and others.

Regional Analysis:

Structural benefit, investment scope, and the presence of major players are expected to put North America and Europe in advantageous positions. Asia Pacific would also gain from the booming electronics industry and growing incorporation of automation and IoT.

Competitive Landscape:

The global market for 5G chipset is set to profit from the strategic moves of companies like Intel Corporation (US), Nokia Oyj (Finland), Qualcomm Inc (US), Xilinx Inc (US), IBM Corporation (US), Samsung Electronics Co Ltd (South Korea), Integrated Device Technology Inc (US), Qorvo Inc (US), Infineon Technologies AG (Germany), Broadcom Inc (US), Anokiwave (US), Analog Devices Inc (US), MACOM Technology Solutions Holdings Inc (US), Huawei Technologies Co., Ltd (China), Telefonaktiebolaget LM Ericsson Class B (Sweden), Cavium Inc (US), KT Corp (South Korea), ZTE Corporation (China), Hewlett Packard Enterprise Co (US), Fujitsu Ltd (Japan), and others.

Industry News:

In September 2020, Samsung inked a deal with Qualcomm to produce the latter’s next-generation 5G mobile chipsets using the latest technology of the 5nm process. The deal has a valuation of around $844 million and will be the first time when Samsung will be producing chips for Qualcomm. The first one of this series will be Snapdragon 875. At present, Samsung produces 8nm devices for Qualcomm. But this deal ensures an advantageous position for Samsung from where it can take forward its TSMC technology. Samsung is also in talks with Intel to produce chips for the latter’s fabrication process.

In September 2020, MediaTek declared that its 5G smartphone chip, the Dimensity 1000C, had hit the market in the United States. The Dimensity 1000C is expected to power LG’s newest device, the LG VELVET, on T-Mobile’s nationwide 5G network. It will deliver advanced AI capabilities, better display features, fast connectivity, and enhanced multimedia capabilities that would improve the user experience. The 7nm Dimensity 1000C is known for its super-fast 5G speeds and it helps in expanding the MediaTek’s 5G family of chipsets. The flagship series is also known to deliver full premium 5G experiences for smartphone users.

During the CIVID-19 crisis, a lot of industries got hit by the impact of the pandemic, but the telecommunication industry stayed abreast and it found a way out by incorporating latest technologies and creating scope for further integration. It is slated to benefit more from the changing work cultures and business dynamics, which would inspire the expansion of the 5G chipset industry.

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Thursday, July 1, 2021

Algorithm Trading Market Trends, Key Vendors Analysis, Import & Export, Revenue by Forecast 2027

Artificial Intelligence (AI) in manufacturing Market Scenario, Leading Players, Segments Analysis and Growth by Forecast to 2027

3D Reconstruction Technology Market Business Revenue, Future Scope, Market Trends, Key Players and Forecast To 2027

AI in Insurance Market Global Trends, Size, Shares, Strategy, Applications Analysis and Growth by Forecast to 2027

Application Container Market Leading Growth Drivers, Emerging Audience, Segments, Sales, Profits & Analysis

Bare Metal Cloud Market Challenges, Size, Growth, Key Vendors, Drivers, Trends and Forecast to 2027

5G Chipset Market Key Players - Cadence Design Systems, Mentor Graphics, Synopsys, Agilent by Forecast to 2027

Portable Gaming Console Market Outlook, Strategies, Industry Analysis, Future Scope, Key Drivers Forecast To 2027

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