market research – ICT Nieuws http://ictnieuws.net/ Tue, 15 Mar 2022 19:49:23 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://ictnieuws.net/wp-content/uploads/2021/10/icon-37-120x120.png market research – ICT Nieuws http://ictnieuws.net/ 32 32 Artificial Intelligence in Law Market Demand and Future Scope with Russia-Ukraine Crisis Impact Analysis – AIBrain, Amazon, Anki, CloudMinds, Deepmind, Goo https://ictnieuws.net/artificial-intelligence-in-law-market-demand-and-future-scope-with-russia-ukraine-crisis-impact-analysis-aibrain-amazon-anki-cloudminds-deepmind-goo/ Tue, 15 Mar 2022 19:49:23 +0000 https://ictnieuws.net/artificial-intelligence-in-law-market-demand-and-future-scope-with-russia-ukraine-crisis-impact-analysis-aibrain-amazon-anki-cloudminds-deepmind-goo/ the artificial intelligence in law The report is an in-depth examination of the overall consumption structure, development trends, sales techniques, and sales of the leading Artificial Intelligence nations in the global law. The research covers well-known vendors in the global Artificial Intelligence in Law industry along with market segmentation, competition, and macroeconomic climate. A comprehensive […]]]>

the artificial intelligence in law The report is an in-depth examination of the overall consumption structure, development trends, sales techniques, and sales of the leading Artificial Intelligence nations in the global law. The research covers well-known vendors in the global Artificial Intelligence in Law industry along with market segmentation, competition, and macroeconomic climate. A comprehensive analysis of artificial intelligence in law takes into account a number of aspects, including a country’s population and economic cycles, as well as market-specific microeconomic consequences. The global market study also includes a specific section on the competition landscape to help you better understand the Artificial Intelligence in Law industry. This information can help stakeholders make informed decisions before investing.

Main actors of Artificial Intelligence in Law including:

AIBrain, Amazon, Anki, CloudMinds, Deepmind, Google, Facebook, IBM, Iris AI, Apple, Microsoft, Intel

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The report is categorized into several sections which consider competitive environment, latest market events, technological developments, countries and regional details related to Artificial Intelligence in Law. The section that details the pandemic impact, recovery strategies and post-pandemic market performance of each player is also included in the report. Key opportunities that could support artificial intelligence in law are identified in the report. The report focuses specifically on near-term opportunities and strategies to realize one’s full potential. Crucial uncertainties for market players to understand are included in the Artificial Intelligence in Law report.

Due to these issues, the AI ​​industry in law has been hampered. Due to the small number of significant companies in the sector, the field of artificial intelligence in law is heavily targeted. Clients would benefit from this research as they would be informed about the current scenario of artificial intelligence in law. The latest innovations, product news, product variants, and in-depth updates from industry specialists who have effectively leveraged artificial intelligence in the law position are all included in this research study. . Many businesses would benefit from a research study on Artificial Intelligence in Law to identify and grow their global demand. Micro and macro trends, significant developments, and their usage and penetration among a wide variety of end users are also included in the Artificial Intelligence in Law segment.

Market analysis done with statistical tools also helps to analyze many aspects including demand, supply, storage costs, maintenance, profit, sales and production details of the market. In addition, the global Artificial Intelligence in Law research report provides details about Artificial Intelligence in Law share, import volume, export volume and gross margin of companies.

Artificial Intelligence in Law Segmentation by Type:

Blockchain, Cloud, Others.

Artificial Intelligence in Law Segmentation by Application:

Speech Recognition Software, Document Capture and Automated Workflows, Redaction and Encryption, Others

The Artificial Intelligence in Law report answers a few key questions:

  • What is the expected growth of global artificial intelligence in law after the discovery of a vaccine or treatment for covid-19?
    • What are the new business practices that can be implemented post-pandemic to remain competitive, agile, customer-centric and collaborative in the world of artificial intelligence in law?
    • Which specific sectors are expected to drive the growth of the global Artificial Intelligence in Law market?
    • What are the key government policies and interventions implemented by the world’s leading AI in law countries to drive the adoption or growth of AI in law.
    • How have market players or leading global AI law firms responded to the challenges faced during the pandemic?
    • What growth opportunities does Artificial Intelligence in global law offer?

Report Highlights:

  • The report provides industry demand trends for artificial intelligence in law in the first and second quarters of 2021.
    • The individual circumstances of the segments of artificial intelligence in law are discussed in the report.
    • The report contains forward-looking information about risks and uncertainties.
    • The report investigates the consumer-driven sectors of artificial intelligence in law.
    • Business scenarios for products and services in particular segments are detailed in the report along with regulations, taxes and tariffs.
    • Trends that impact artificial intelligence in law in recent years are discussed in the report.
    • The report studies the potential impact of the Covid-19 pandemic on the economy of the Artificial Intelligence in Law sector and the performance of market players in the same context.

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Contents:

1 Scope of the report
1.1 Market Overview
1.2 Research objectives
1.3 Years considered
1.4 Market research methodology
1.5 Economic indicators
1.6 Currency considered
2 Executive Summary
3 Global Artificial Intelligence in Law by Players
4 Artificial Intelligence in Law by Regions
4.1 Artificial Intelligence in Law Size by Regions
4.2 Americas Artificial Intelligence in Law Size Growth
4.3 APAC Artificial Intelligence in Law Size Growth
4.4 Europe Artificial Intelligence Size Growth
4.5 Middle East & Africa Artificial Intelligence Size Growth
5 Americas
6 APACs
7Europe
8 Middle East and Africa
9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market trends
10 Global Predictions About Artificial Intelligence In Law
Analysis of the 11 key players
12 Research findings and conclusion

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Artificial Intelligence in Cybersecurity Market Size and Forecast https://ictnieuws.net/artificial-intelligence-in-cybersecurity-market-size-and-forecast/ Mon, 14 Mar 2022 18:27:51 +0000 https://ictnieuws.net/artificial-intelligence-in-cybersecurity-market-size-and-forecast/ New Jersey, United States,- This Artificial Intelligence in Cyber ​​Security Market The analysis of the report provides fundamental elements designed to help industry players to make informed business decisions and assert their position in the market. This market research is conducted by combining qualitative and quantitative data, which greatly helps large companies to assess the […]]]>

New Jersey, United States,- This Artificial Intelligence in Cyber ​​Security Market The analysis of the report provides fundamental elements designed to help industry players to make informed business decisions and assert their position in the market. This market research is conducted by combining qualitative and quantitative data, which greatly helps large companies to assess the quality of the system or solution they plan to launch. It also shows important business parameters such as population density, quality, development and general industry situation. It also contains essential facts on key industry topics such as market expansion and changing market conditions. This Artificial Intelligence in Cybersecurity Market study examines major market segments based on type, application, and geography.

The Artificial Intelligence in Cyber ​​Security Market research report tracks the potential growth of the organization for forthcoming years by providing insightful data. It covers a few important factors such as demographics, promotional activities, and business metrics. It further sheds light on the economic disasters caused by COVID-19 and the huge losses suffered by different business sectors around the world. He then talks about the market forecast for the valuation years 2022-2029. The use of a value chain aids in understanding the Artificial Intelligence in Cyber ​​Security market report.

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This Artificial Intelligence in Cybersecurity market study is a valuable way to chart the right direction for business growth. It sheds light on the key dynamics influencing business growth. It also successfully predicts the level of competition for the forecast period 2022-2029. Some of the major segments mentioned in this survey report include manufacturing technology, industrial applications, and definition. Important statistics about the state of the market are discussed here. Important parameters covered in this Artificial Intelligence in Cyber ​​Security market report are of great help for market players to take important decisions. A thorough examination of the production, profiles, capacity, value, product specifications, and market share of the various companies provided here immensely helps the business players to make the perfect investment in the market.

Key Players Mentioned in the Artificial Intelligence in Cybersecurity Market Research Report:

Micron Technology Intel Corporation, Xilinx Inc., IBM Corporation, Amazon Web Services Samsung Electronics Co. Ltd., NVIDIA Corporation, Darktrace, Cylance Inc., Vectra AI, Inc.

Artificial Intelligence in Cybersecurity Market Segmentation:

Artificial Intelligence in Cybersecurity Market, By Security Type

• Application Security
• Cloud security
• Endpoint Security
• Internet Security

Artificial Intelligence in Cybersecurity Market, By Technology

• Context sensitive calculation
Machine learning
• Natural language processing

Artificial Intelligence in Cybersecurity Market, By Application

• Antivirus/antimalware
• Data loss prevention
• Fraud/anti-fraud detection
• Intrusion detection/prevention system
• Security and vulnerability management
• Unified threat management
• Others

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Scope of the Artificial Intelligence in Cybersecurity Market Report

ATTRIBUTES DETAILS
ESTIMATED YEAR 2022
YEAR OF REFERENCE 2021
FORECAST YEAR 2029
HISTORICAL YEAR 2020
UNITY Value (million USD/billion)
SECTORS COVERED Types, applications, end users, and more.
REPORT COVER Revenue Forecast, Business Ranking, Competitive Landscape, Growth Factors and Trends
BY REGION North America, Europe, Asia-Pacific, Latin America, Middle East and Africa
CUSTOMIZATION SCOPE Free report customization (equivalent to up to 4 analyst business days) with purchase. Added or changed country, region and segment scope.

It becomes easy to determine the pulse of the market with this detailed analysis of the Artificial Intelligence in Cybersecurity market. Key players can find all competitive data and market size of major regions like North America, Europe, Latin America, Asia-Pacific and Middle East. As part of the competitive analysis, certain strategies are profiled which are pursued by key players such as mergers, collaborations, acquisitions and new product launches. These strategies will greatly help industry players to strengthen their position in the market and grow their business.

Answers to key questions in the report:

1. Who are the top five players in the Artificial Intelligence in Cybersecurity market?

2. How will the market for artificial intelligence in cybersecurity evolve over the next five years?

3. Which products and applications will capture the lion’s share of the artificial intelligence in cybersecurity market?

4. What are the drivers and restraints of the Artificial Intelligence in Cybersecurity Market?

5. Which regional market will show the strongest growth?

6. What will be the CAGR and size of the Artificial Intelligence in Cybersecurity market throughout the forecast period?

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At Verified Market Research, we help in understanding holistic market indicator factors and most current and future market trends. Our analysts, with their deep expertise in data collection and governance, use industry techniques to gather and review data at all stages. They are trained to combine modern data collection techniques, superior research methodology, subject matter expertise and years of collective experience to produce informative and accurate research.

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Pharma to lead blockchain adoption in supply chain https://ictnieuws.net/pharma-to-lead-blockchain-adoption-in-supply-chain/ Mon, 14 Mar 2022 10:38:04 +0000 https://ictnieuws.net/pharma-to-lead-blockchain-adoption-in-supply-chain/ Read the article The pandemic has accelerated digital transformation in the healthcare sector, from telemedicine to e-pharmacy, from electronic health records (EHRs) to digital therapies, from applications to artificial intelligence (AI) in analytics and more. tests. The pharmaceutical and healthcare industry will continue to lead the integration of new era technologies such as the Internet […]]]>

Read the article

The pandemic has accelerated digital transformation in the healthcare sector, from telemedicine to e-pharmacy, from electronic health records (EHRs) to digital therapies, from applications to artificial intelligence (AI) in analytics and more. tests. The pharmaceutical and healthcare industry will continue to lead the integration of new era technologies such as the Internet of Things (IoT), AI, machine learning and blockchain in the coming years as well. a much higher rate.

However, what can be the impending revolution that will accelerate the adoption of blockchain technology in the pharmaceutical supply chain that will soon change for the better? According to a study by Brandessence Market Research, the value of blockchain technology in the healthcare market will reach nearly $513.1 million by 2028, growing at a CAGR of 50.6% from 2021.

So far, India has made some timid attempts to implement a foolproof track and trace system in the pharmaceutical value chain, despite increasing cases of falsified or substandard drugs that tarnish its image as a world pharmacy. According to the World Health Organization (WHO), one in 10 medical products, whether drugs, kits or vaccines, are substandard in middle and low-income countries. Even in the United States, more than $200 billion is lost each year to counterfeiting, according to Deloitte. The World Economic Forum reports a 20% annual growth in the counterfeit trade. The Transnational Alliance to Combat Illicit Trade (TRACIT) reported that $2.6 billion was lost in Southeast Asia in 2020 alone due to fake medicines. Official Union Health Ministry statistics indicate that 3% of medicines in India are substandard or fake. WHO even reported a fake Covishield vaccine in Kolkata as recently as August 2021. Everyone knows that untraceable cases could be way more than detected cases.

On the other hand, we still lack a strict technology-driven monitoring system or law enforcement to weed out fake drugs from the supply chain. The General Directorate of Foreign Trade (DGFT) has again extended the deadline for the tracking and tracing system for pharmaceutical exports until April 1, 2022.

However, there is a silver lining. Many leading companies voluntarily take the initiative to adopt the latest technologies to track their pharmaceutical products. During the pandemic, several companies have also been seen to opt for self-imposed tracking systems to win export orders, in the face of growing awareness and demand for quality medicines. This provides ideal ground for blockchain technology to have a big impact on the pharmaceutical supply chain.

Niti Aayog, who piloted a blockchain-powered track and trace system, found that drugs from manufacturing facilities are generally trustworthy. The risk of fake medicines occurs more during the different stages and layers of a complex supply chain. At any point of transfer from factory to patient, drugs can be stolen, adulterated and replaced. By some estimates, pharmaceutical cargo theft itself is worth $1 billion a year. Blockchain makes a valid point against these vulnerabilities.

Being immutable, transparent, trustworthy, traceable, decentralized and hack-proof, blockchain can nearly eliminate counterfeit threats in the value chain, besides making the movement of goods transparent, cheaper, easier and faster. It can offer reliable end-to-end tracking. The supply chain can be well integrated block by block through the use of this technology, thus making any unauthorized external interference nearly impossible.

The first benefit would be the high-efficiency aspect, as blockchain stores data in a single distributed ledger, unlike traditional labor-intensive record-keeping processes. There is no need to consolidate or reconcile different sets of records and products. Location, lot number, and expiration dates can be easily tracked using blockchain-powered barcodes or QR codes, improving overall inventory management efficiency. Even this technology can be used to monitor temperature and other valuable information during medication transit.

Second, the immutability of the blockchain means that no one can modify the data without the consensus of all participants. A retailer cannot insert counterfeit drugs because the tracking of goods and data is done in real time. Third, the stored records are more secure than the traditional process where data is stored on a single server. In the blockchain, it is entered in several places in a decentralized way on the network of nodes with the corresponding timestamps in a chronological way. Records are tamper-proof. Another advantage of the blockchain is its transparency because the data is visible to all participants. Again, traceability is the biggest feature as the data is verifiable and this will bring a sea change to the pharmaceutical supply chain.

Global leaders in the pharmaceutical industry are already working on blockchain solutions for their needs. Pfizer, Amgen and Sanofi are working together to adopt blockchains to speed up clinical testing of new drugs. Novartis and Merck have adopted it to control counterfeiting and improve supply chain security. Some leading manufacturers and wholesalers have created a consortium called MediLedger Network to further explore the use of blockchain as the US government implements strict track and trace standards called DSCSA. The UK’s National Health Service (NHS) has started using this distributed ledger technology to monitor the distribution of COVID vaccines.

Blockchain technology is all about bringing more trust to transactions. More importantly, it can cover the entire value chain from API manufacturer, to patient, to formulation manufacturers, wholesalers, retailers, hospitals, pharmacies, etc., greatly mitigating the risk of damaging people’s trust and lives.

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Blockchain in Genomic Data Management Market 2022 Analysis of Key Industry Trends and Segments to 2028 – The Bollywood Ticket https://ictnieuws.net/blockchain-in-genomic-data-management-market-2022-analysis-of-key-industry-trends-and-segments-to-2028-the-bollywood-ticket/ Sat, 12 Mar 2022 15:52:24 +0000 https://ictnieuws.net/blockchain-in-genomic-data-management-market-2022-analysis-of-key-industry-trends-and-segments-to-2028-the-bollywood-ticket/ Blockchain in Genomic Data Management Market (2022 Trend Analysis) The Global Blockchain in Genomic Data Management Market report provides insights into the global industry including valuable facts and figures. This research study explores the global market in detail like industry chain structures, raw material suppliers, along with manufacturing. The Blockchain in Genomic Data Management Sales […]]]>

Blockchain in Genomic Data Management Market (2022 Trend Analysis)

The Global Blockchain in Genomic Data Management Market report provides insights into the global industry including valuable facts and figures. This research study explores the global market in detail like industry chain structures, raw material suppliers, along with manufacturing. The Blockchain in Genomic Data Management Sales market examines the major segments of the market scale. This smart study provides historical data and forecast from 2022 to 2028.

The results of recent scientific endeavors for the development of new Blockchain products in the management of genomic data have been studied. Nonetheless, factors affecting major industry players to adopt synthetic sourcing of market products have also been studied in this statistical survey report. The findings provided in this report are of great value to major industry players. Every organization involved in the worldwide production of the Blockchain in Genomic Data Management market product has been mentioned in this report, to study the information on cost-effective manufacturing methods, competitive landscape, and new application avenues.

This report contains an in-depth analysis of pre-pandemic and post-pandemic market scenarios. This report covers all recent developments and changes recorded during the COVID-19 outbreak.

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Major Key Players in the Market:
EncryptGen, SimplyVital Health, Genomes.io, Block23, DNAtix

The types covered in this report are:
B2C business model, B2B business model, C2B business model

The applications covered in this report are:
Pharmaceutical companies, research institutes, data owners, government agencies, insurers, others

With current market norms being revealed, the Blockchain in Genomic Data Management market research report has also illustrated the latest strategic developments and patterns of market participants in an unbiased manner. The report serves as a presumptive business document that can help the buyers in the global market to plan their next courses towards the future position of the market.

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Regional Analysis for Blockchain in Genomic Data Management Market

North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia and Italy)
Asia Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
The Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, Nigeria and South Africa)

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This report provides:

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  4. Discussion on R&D and demand for new product launches and applications.
  5. Varied company profiles of major industry players.
  6. the composition of the market, in terms of dynamic molecule types and targets, highlighting the key resources and industry players.
  7. The growth of patient epidemiology and market revenue for the global market and among key players and market segments.
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Global Artificial Intelligence Robots Market analyzed by company growth, industry analysis, market dynamics and development trends https://ictnieuws.net/global-artificial-intelligence-robots-market-analyzed-by-company-growth-industry-analysis-market-dynamics-and-development-trends/ Fri, 11 Mar 2022 14:18:21 +0000 https://ictnieuws.net/global-artificial-intelligence-robots-market-analyzed-by-company-growth-industry-analysis-market-dynamics-and-development-trends/ Thorough and transparent research studies conducted by the teamwork of experts in their own field achieve this global market research report. Not to mention that this data and information helps companies to decide more effectively on advertising, promotion, marketing and sales strategy and also helps in making wise and competent decisions. This report discusses several […]]]>

Thorough and transparent research studies conducted by the teamwork of experts in their own field achieve this global market research report. Not to mention that this data and information helps companies to decide more effectively on advertising, promotion, marketing and sales strategy and also helps in making wise and competent decisions. This report discusses several industries and market parameters regarding this industry including latest trends, market segmentation, new market entries, industry forecast, target market analysis, future directions, l identification of opportunities, strategic analysis, information and innovation. This report gives important, thoughtful and significant market insights for your business by considering various factors.

Moreover, this marketing research report aids in planning by providing accurate and state-of-the-art information about consumer demands, buying preferences, changing attitudes and tastes regarding the specific product. This team focuses on understanding the business of the clients and their needs so that the best market research report is provided to the client for potential growth and success. This report focuses on a specific stock, currency, commodity, and geographic region or country. This market research report serves the clients by providing data and insights on their business scenario with which they can stay ahead of the competition in today’s rapidly changing business environment.

artificial intelligence platform market is expected to grow at a CAGR of 32.48% during the forecast period from 2020 to 2027. Data Bridge Market Research report on Artificial Intelligence Platform Market provides analysis and insights regarding the various factors that are expected to prevail throughout the forecast period while providing their impacts on market growth.

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Our research and insights help our clients identify compatible business partners.

The Artificial Intelligence Platform report gives the CAGR values ​​along with its fluctuations for the specific forecast period. A transparent research method carried out with the right tools and techniques makes this market research report world-class. This research study also helps businesses to understand the various drivers and restraints impacting the market during the forecast period. This Artificial Intelligence Platform Market report helps you by giving you actionable market insights and comprehensive market analysis. The key research methodology used here by the DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary validation (expert from the industry).

Prominent players:

Key players covered in the fintech blockchain market report are Microsoft, Google LLC, Salesforce.com, inc., IBM CORPORATION, AMAZON WEB SERVICES, INC., Intel corporation, Ayasdi AI LLC, Hewlett Packard Enterprise Development LP, Qualcomm technologies, inc., Absolutdata, General vision, inc., Enlitic, inc., NEXT IT CORPORATION, icarbonX, Apple, inc., Facebook, inc., Siemens AG, General Electric, Micro Technology, inc., SAMSUNG among other national and global players. Market share data is available separately for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America . DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

MAIN CONTENT INDEX:

introduction

  • Search scope
  • Market segmentation
  • Research methodology
  • Definitions and assumptions

Synthesis

Market dynamics

  • market engine
  • Market restrictions
  • Market opportunity

key ideas

  • Main emerging trends in this sector
  • The latest technological advances
  • Overview of the regulatory scenario
  • Porter’s Five Forces Analysis
  • Main developments: acquisition, collaboration, strategic partnership and joint venture

Advantages of buying this research report:-

Customer satisfaction: Data Bridge Market Research team will fulfill all research requirements and offer custom or syndicated report

Inimitable know-how: Analysts will offer in-depth insights into this global market

Support for analysts: Get instant expert solved query before and after buying this market report

Quality assured: Market Research Outlet maintains the accuracy and quality of this market

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Who will benefit from this report?

The primary goal of Global Artificial Intelligence Platform Market is to provide industry investors, private equity firms, business managers and stakeholders with comprehensive information to help them make informed strategic decisions associated with the Concealed Door Closers market chances through the world.

Key Market Segmentation:

The artificial intelligence platform market is segmented on the basis of component, mode of deployment, application, and end user. Growth between segments helps you analyze growth niches and strategies to approach the market and determine your main application areas and the difference between your target markets.

Based on components, the artificial intelligence platform market can be segmented into tools and services. The tools can be subdivided into NLP (Natural Language Processing) and ML (Machine Language). Services can be subdivided into managed and professional services.

Based on deployment mode, the artificial intelligence platform market can be segmented into cloud and on-premises.

Based on the application, the artificial intelligence platform market can be segmented into forecasting and prescriptive models, chat-bots, voice recognition, text recognition and others (face detection and sentiment analysis).

Based on end-user, the artificial intelligence platform market can be segmented into manufacturing, healthcare, BFSI, research and academia, transportation, retail and e-commerce, and others (oil and gas and advertising).

Main regions covered:

Geographically, this report is segmented into several key regions, with sales (MT), revenue (USD Million), market share and growth rate for these regions, covering

**North America (United States, Canada and Mexico)

**Europe (Germany, France, UK, Russia, Italy and rest of Europe)

**Asia Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

**South America (Brazil, Argentina, Colombia and rest of South America)

**Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, South Africa and Rest of Middle East and Africa)

Key points of the geographic analysis:

**Data and information relating to the rate of consumption in each region

**The estimated increase in consumption rate

**The expected growth rate of regional markets

**Proposed growth in market share of each region

**Geographic contribution to market revenue

Reasons to buy this report:

**The industry analysis report offers actionable insights into the global Artificial Intelligence Platform industry and examines the key growth drivers, limitations, opportunities, and challenges existing in the market.

**The research has thoroughly examined current and past market circumstances to help readers forecast market conditions for the next five years.

**The research presents a comprehensive overview of leading companies in the Harmonic Gear Drive industry along with their long-term business growth strategies

**In-depth examination of the Artificial Intelligence Platform business landscape with accurate market projections for the forecast period

To consult the complete table of contents, click here: @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-platform-market

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Global Data Cyberscience Market by Key Player – , Broadcom (Symantec Corporation), Cisco Systems, Check Point Software, IBM, McAfee, Palo Alto Networks, Trend Micro Incorporated, … https://ictnieuws.net/global-data-cyberscience-market-by-key-player-broadcom-symantec-corporation-cisco-systems-check-point-software-ibm-mcafee-palo-alto-networks-trend-micro-incorporated/ Fri, 11 Mar 2022 14:10:42 +0000 https://ictnieuws.net/global-data-cyberscience-market-by-key-player-broadcom-symantec-corporation-cisco-systems-check-point-software-ibm-mcafee-palo-alto-networks-trend-micro-incorporated/ Global Global cyber data science market research is an intelligence report with meticulous efforts undertaken to study the correct and valuable information. The data that has been reviewed takes into account both existing top players and upcoming competitors. The business strategies of key players and new industries entering the market are studied in detail. A […]]]>

Global Global cyber data science market research is an intelligence report with meticulous efforts undertaken to study the correct and valuable information. The data that has been reviewed takes into account both existing top players and upcoming competitors. The business strategies of key players and new industries entering the market are studied in detail. A well-explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capabilities.

Global Cyber ​​Data Science Market” Global Research Report 2022-2028 is a factual overview and in-depth study on the current and future market of the Mobility Healthcare Solutions industry. The Global Cyber ​​​​Data Science Market report provides supreme data, such as development strategy, competitive landscape, environment, opportunities, risks, challenges and barriers, supply chain optimization value, contact and revenue information, technological advancements, product offerings of key players and the dynamic structure of the market. The Global Cyber ​​Data Science Market report provides the growth rate, recent trends, and an absolute study of major players at regular intervals in the market based on the weightlessness of their product description, business outline, and their business tactics.

Download Free PDF Sample Report with Full TOC, Figures and Charts (with covid 19 impact analysis): https://www.maccuracyreports.com/report-sample/204095

Summary

According to XYZResearch study, over the next 5 years the Data Cyber ​​Science market will register a xx% CAGR in terms of revenue, the global market size will reach USD xx Million by 2026, from USD xx Million in 2020. In particular, it should be noted that the impact of the epidemic has accelerated the trend of localization, regionalization and decentralization of the global industrial chain and supply chain, so it is inevitable to rebuild the global industrial chain. Faced with the global industrial change of the post-epidemic era, enterprises in different countries need to take precautions. This report presents the revenue, market share and growth rate for each key company. In this analysis report, we will find the details below:

1. Comprehensive in-depth analysis of the market structure along with the forecast from 2021 to 2026 of the various segments of the global Cyber ​​Data Science market.

2. Who is the leading company in the cyber data science market, competitive analysis of key companies, mergers and acquisitions, market dynamics.

3. Which region has emerged as the largest growth area in Cyber ​​Data Science Market?

4. The most potential segment of each regional market.

5. Overview of factors affecting market growth, including the impact of COVID -19.

6. Global Cyber ​​Data Science Market based on value chain analysis and SWOT analysis.

7. Regional Market Analysis for current revenue (Million USD) and future prospects.

Key Players Operating in the Cyber ​​Data Science-Competitive Analysis Market:

Broadcom (Symantec Corporation)

Cisco Systems

Checkpoint Software

IBM

McAfee

Palo Alto Networks

Trend Micro Incorporated

Regional Segmentation (Value; Revenue, USD Million, 2015 – 2026) of the Cyber ​​Data Science Market by XYZResearch includes:

China

EU

United States

Japan

India

South East Asia

South America

Type Outlook (Value; Revenue, USD Million, 2015 – 2026):

cyber security

Artificial intelligence

Data science

Application Outlook (Value; Revenue, USD Million, Market Share, 2015 – 2026):

IT & Telecom

Retail

BFSI

Health care

Defence/Government

Manufacturing

Energy

Others

For any other requirements, do not hesitate to contact us and we will provide you with a personalized report.

Get an exclusive discount on this report @: https://www.maccuracyreports.com/check-discount/204095

Impact of COVID-19

The report covers the impact of the COVID-19 coronavirus: Since the outbreak of the COVID-19 virus in December 2019, the disease has spread to almost every country in the world, as declared by the World Health Organization public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt and will significantly affect the global data cyberscience market in 2022.

The COVID-19 outbreak has affected many aspects, such as flight cancellations; travel bans and quarantines; restaurants closed; all restricted indoor/outdoor events; more than forty countries declare a state of emergency; massive supply chain slowdown; stock market volatility; declining business confidence, growing panic among the population and uncertainty about the future.

Global Cyber ​​Data Science Market Report Coverage Highlights:

– A comprehensive background analysis, which includes an assessment of the global cyber data science market.
– Significant changes in the market dynamics of the global cyber data science market
– Segmentation of the global data e-science market up to the second and third level regional bifurcation
– Historical, current, and projected size of the global Cyber ​​Security market with respect to both value (revenue) and volume (production and consumption)
– Report and assessment of recent developments in the global cyber data science market
– Market share of the global computational data science market and strategies of key players
– Emerging segments of the global niche data cyberscience market and regional markets
– An objective assessment of the trajectory of the global Data Cyberscience market
– Recommendations for businesses to strengthen their presence in the global Computational Data Science market market

Additionally, the export and import policies that can have an immediate impact on the global cyber data science market. This study contains EXIM* related chapter on Global Cyber ​​Data Science Market and all its associated companies with their profiles, which provides valuable data on their outlook in terms of financials, product portfolios, investment plans and marketing and sales strategies.

Comprehensive report on the Global Cyber ​​Data Science Market report spread over 200+ pages, list of tables and figures, profiling 10+ companies. Select license version and purchase this updated research report directly @ https://www.maccuracyreports.com/checkout/204095

Answers to key questions in the report:

• What is the growth potential of the global cyber data science market?
• Which product segment will take the lion’s share?
• Which regional market will impose itself as a pioneer in the years to come?
• Which application segment will experience strong growth?
• What growth opportunities might arise in the mobility healthcare solutions industry in the coming years?
• What are the most significant challenges that the global cyber data science market may face in the future?
• Who are the leading companies in the global cyber data science market?
• What are the main trends that are positively impacting market growth?
• What growth strategies are the players considering to stay in the global Cyber ​​Data Science market?

If you have any special requirements, please let us know and we will offer the report as you wish.

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MR Accuracy Reports’ well-researched contributions that encompass areas ranging from IT to healthcare enable our valued clients to capitalize on key growth opportunities and protect against credible threats prevailing in the market in the scenario current and those expected in the near future. Our research reports provide our clients with macro-level insights in various key regions of the world that provide them with a broader perspective to align their strategies to take advantage of lucrative growth opportunities in the market.

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Website: https://www.maccuracyreports.com

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Artificial Intelligence Chip Market Growth Projections by 2030 | AMD, Alphabet, Apple, NXP Semi, Analog Peripherals, Intel https://ictnieuws.net/artificial-intelligence-chip-market-growth-projections-by-2030-amd-alphabet-apple-nxp-semi-analog-peripherals-intel/ Wed, 23 Feb 2022 05:53:00 +0000 https://ictnieuws.net/artificial-intelligence-chip-market-growth-projections-by-2030-amd-alphabet-apple-nxp-semi-analog-peripherals-intel/ Artificial intelligence chip market 022 PORTLAND, OR, USA, February 23, 2022 /EINPresswire.com/ — According to a new report published by Allied Market Research, titled “artificial intelligence chip market by chip type (GPU, ASIC, FPGA, CPU and others), application (natural language processing (NLP), robotics, computer vision, network security and others), technology (system on chip, system in […]]]>

Artificial intelligence chip market 022

PORTLAND, OR, USA, February 23, 2022 /EINPresswire.com/ — According to a new report published by Allied Market Research, titled “artificial intelligence chip market by chip type (GPU, ASIC, FPGA, CPU and others), application (natural language processing (NLP), robotics, computer vision, network security and others), technology (system on chip, system in package, multi-chip module and Others), Processing Type (Edge and Cloud) and Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, and Others): Global Opportunity Analysis and Market Forecast ‘industry, 2021-2030’, the global Artificial Intelligence Chips market size is expected to reach $194.90 billion by 2030, from $8.02 billion in 2020, with a CAGR of 37.4% from 2021 to 2030. Asia-Pacific is expected to be the major contributor to the global market during the forecast period, followed by North America and Europe.

According to the report, the Artificial Intelligence Chips Market is expected to register a remarkable CAGR from 2021 to 2030. The study covers a comprehensive analysis of key dynamic trends, key market players, key driving factors and major pockets of investment. The global Artificial Intelligence Chips market study involves market overview and highlights market definition and scope. the current technological developments and the increase in demand have a great impact on the growth of the market.

Market research covers a detailed study of the market with the help of various methods and tools. The SWOT analysis and Porter’s five forces model provide a detailed study of the major determinants of market growth. Moreover, these tools are essential to understand the profitability of the market.

Download sample report with latest industry insights @ https://www.alliedmarketresearch.com/request-sample/4515

The global Artificial Intelligence Chips market report includes a comprehensive study of dynamic driving and restraining factors, challenges and lucrative opportunities. Additionally, the report offers SWOT analysis which helps in recognizing the restraining and driving factors of the market. The Artificial Intelligence Chips Market report highlights market segmentation and growth analysis of key industry market players. The report provides a comprehensive study of the impact of Covid-19 on the growth of the global Artificial Intelligence Chips market.

On the other hand, a detailed analysis of various market segments helps new market entrants to make informed business decisions and profitable investments in the future. Moreover, it helps market players gain a competitive advantage. The segment and sub-segment study is provided in the report in the form of graphs and tables. This study is essential for knowing the most revenue-generating and fast-growing segments of the market, which is essential information for making strategic investments.

The global Artificial Intelligence Chips Market offers in-depth segmentation on the basis of geography. The regions analyzed in the report are North America (United States, Canada, and Mexico), Europe (Germany, France, United Kingdom, Russia, and Italy), Asia-Pacific (China, Japan, Korea , India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, Nigeria and South Africa). This regional analysis helps in formulating business strategies that target specific regions to take advantage of lucrative opportunities.

Get Detailed Analysis of Impact of COVID-19 on Artificial Intelligence Chips Market @ https://www.alliedmarketresearch.com/request-for-customization/4515?reqfor=covid

The global artificial intelligence chip market is under the influence of technological advancements. The advent of innovative technologies such as artificial intelligence (AI), big data, cloud computing, Internet of Things (IoT) and cryptocurrency is having a significant impact on the global chip market growth. ‘artificial intelligence. The report helps in recognizing the role of these advanced technologies in the growth of the market.

Market growth is analyzed using several methods and tools. SWOT analysis and Porter’s five forces model offer detailed knowledge of the major determinants of market growth. Moreover, these tools are essential for understanding profitable opportunities in the market.

The global Artificial Intelligence Chips Market report offers a detailed study of the top 10 market players currently active in the industry. The report includes sales, revenue analysis, and production for these companies. Major market players studied in the market report are Advanced Micro Devices, Alphabet Inc. (Google Inc.), Apple, NXP Semiconductors NV, Analog Devices, Inc., Intel Corporation, Mediatek, Inc., NVIDIA Corporation, Qualcomm Incorporated . , and Microsemi Corporation

These companies have adopted several business strategies including new product launches, mergers and acquisitions, partnerships and collaborations to maintain their presence in the market.

Make a purchase request @ https://www.alliedmarketresearch.com/purchase-enquiry/4515

Key market segments
• BY CHIP TYPE
or GPU
oASIC
or FPGAs
or CPU
o Others
• ON DEMAND
o Natural Language Processing (TAL)
o Robotics
o Computer Vision
o Network security
o Others
• BY TECHNOLOGY
System on a chip (SoC)
o System in Package (SIP)
o Multi-chip module
o Others
• BY TYPE OF TREATMENT
o Edge
o Cloud
• BY VERTICAL INDUSTRY
o Media and advertising
o BFSI
o IT & telecom
Retail
o Health
o Automotive and transportation
o Others
• BY REGION
o North America
 United States
 Canada
 Mexico
o Europe
 United Kingdom
 Germany
France
 Russia
 Rest of Europe
o Asia-Pacific
 China
 Japan
 India
 Australia
 Rest of Asia-Pacific
o LAMEA
 Latin America
 Middle East
 Africa

About Us

Allied Market Research (AMR) is a full-service market research and business consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global corporations as well as small and medium enterprises with unrivaled quality of market research reports and Business Intelligence solutions. AMR has a focused vision to provide business insights and advice to help its clients make strategic business decisions and achieve sustainable growth in their respective market area.

Pawan Kumar, CEO of AMR, leads the organization in delivering high quality data and insights. We maintain professional relationships with various companies which helps us to extract market data which helps us to generate accurate research data tables and confirm the utmost accuracy of our market predictions. All data presented in the reports we publish are drawn from primary interviews with senior executives from leading companies in the relevant field.

David Correa
Allied Analytics LLP
+15034461141 ext.
write to us here
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Smart Grid Cybersecurity Market 2028 https://ictnieuws.net/smart-grid-cybersecurity-market-2028/ Mon, 21 Feb 2022 13:12:46 +0000 https://ictnieuws.net/smart-grid-cybersecurity-market-2028/ Smart Grid Cybersecurity Market The research report is a wide-ranging analysis and Impact of COVID19 on the world market and the in-detailed information with segmentation has been added in this intelligence report. In this report, a comprehensive analysis of the current global market of the Global Smart Grid Cybersecurity Market in terms of demand and […]]]>

Smart Grid Cybersecurity Market The research report is a wide-ranging analysis and Impact of COVID19 on the world market and the in-detailed information with segmentation has been added in this intelligence report. In this report, a comprehensive analysis of the current global market of the Global Smart Grid Cybersecurity Market in terms of demand and supply environment is provided, as well as price trend now and in the coming years. World leader players are profiled with their incomeMarlet to share, profit marginmajor product portfolio and SWOT analysis. From an industry perspective, this report analyzes supply chainincluding the process graphic introduction, upstream key raw material and cost analysis, analysis of distributor and downstream buyer. This report also includes global and regional Marlet Cut and forecasting, major product development trend and typical downstream segment scenarioas part of the analysis of market drivers and inhibitors.

Key Global Smart Grid Cybersecurity Market Players Covered Are:
eaton
IBM
Intel (McAfee)
Black and Veatch
source fire
Sophos
VeriSign
Lockheed Martin
N-dimensional solutions
CompanyAlert
resume
Siemens
Honeywell International
Energy services
sentryo
BAE systems
CompanyAlert
Leidos
N-dimensional solutions
Cisco Systems
Symantec
AlienVault
IOActive
ViaSat

On the basis of types, the Smart Grid Cyber ​​Security market from 2015 to 2025 is majorly split into:
Cloud-based
On the site

On the basis of applications, the Smart Grid Cyber ​​Security market from 2015 to 2025 covers:
Transport
Artificial intelligence
internet of things

Global Smart Grid Cyber ​​Security Market Report provides you with in-depth insights knowledgeindustry knowledge, market forecasts and analysis. The Global Smart Grid Cybersecurity Industry Report Also Clarifies economic risks and environmental compliance. The Global Smart Grid Cybersecurity Market report helps industry enthusiasts including investors and makers build confidence capital investments, develop strategies, optimize Their business portfolio, innovate successfully and perform safely and sustainably.

Smart Grid Cybersecurity Market Regional Coverage (Regional Production, Demand & Forecast by Countries etc.):

  • North America (S., Canada, Mexico)
  • Europe (Germany, UK, France, Italy, Russia, Spain, etc.)
  • Asia Pacific (China, India, Japan, Southeast Asia, etc.)
  • South America (Brazil, Argentina, etc.)
  • Middle East and Africa (Saudi Arabia, South Africa, etc.)

Free report data (in the form of an Excel data sheet) will also be provided upon request with a new purchase.

Answer to the key question in the report.

  • What are the strengths and weaknesses of the Smart Grid cybersecurity market?
  • What are the different marketing and distribution channels?
  • What is the current CAGR of the Smart Grid cybersecurity market?
  • What are the Smart Grid Cyber ​​Security market opportunities ahead of the market?
  • What are the top competitors in the Smart Grid Cyber ​​Security Market?
  • What are the main results of SWOT and Porter’s Five Techniques?
  • What is the Smart Grid Cyber ​​Security market size and growth rate during the forecast period?

Contents:

Global Smart Grid Cybersecurity Market Research Report 2022-2028

Chapter 1: Smart Grid Cybersecurity Market Overview

Chapter 2: Global Economy Impact on industry

Chapter 3: Smart Grid Cybersecurity Market Competition by Manufacturers

Chapter 4: Global Smart Grid Cyber ​​Security Production, Revenue (Value) by Region

Chapter 5: Global Smart Grid Cybersecurity Supply (production), consumption, export, import by regions

Chapter 6: World production, Revenue (value), price trend by type

Chapter 7: Global Market Analysis by application

Chapter 8: Manufacturing Cost analysis

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Smart Grid Cybersecurity Market Effect Factor Analysis

Chapter 12: Global Smart Grid Cyber ​​Security Market Forecast

Contact us:
The Web: www.qurateresearch.com
E-mail:
[email protected]
Phone: USA – +13393375221, IN – +919881074592

Note – In order to provide more accurate market forecasts, all our reports will be updated prior to delivery considering the impact of COVID-19.

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Artificial Intelligence (AI) in the Next Big Thing Cybersecurity Market: Major Giants Deposco, Aldata, BFC Software https://ictnieuws.net/artificial-intelligence-ai-in-the-next-big-thing-cybersecurity-market-major-giants-deposco-aldata-bfc-software/ Fri, 18 Feb 2022 22:08:52 +0000 https://ictnieuws.net/artificial-intelligence-ai-in-the-next-big-thing-cybersecurity-market-major-giants-deposco-aldata-bfc-software/ Artificial Intelligence (AI) in Cybersecurity Market Next Big Thing This press release was originally distributed by SBWire Edison, NJ – (SBWIRE) – 02/18/2022 – The latest independent research paper on Global Artificial Intelligence (AI) in Cybersecurity examines investments in the market. It describes how companies deploying these technologies across various industry verticals aim to explore […]]]>

Artificial Intelligence (AI) in Cybersecurity Market Next Big Thing

This press release was originally distributed by SBWire

Edison, NJ – (SBWIRE) – 02/18/2022 – The latest independent research paper on Global Artificial Intelligence (AI) in Cybersecurity examines investments in the market. It describes how companies deploying these technologies across various industry verticals aim to explore its potential to become a major business disruptor. The study on Artificial Intelligence (AI) in Cybersecurity eludes valuable reviews and strategic evaluation, including generic market trends, emerging technologies, industry drivers, challenges, regulatory policies which are propelling the growth of the market, along with the profiles and strategies of key players. This version of the Artificial Intelligence (AI) in Cybersecurity Market report advocates analysis by Advanced Systems Consultants, Cadre Technologies, ASC, Deposco, Aldata, BFC Software, IBM, Oracle, Automation Associates, Camelot 3PL Software, Appolis, Argos Software, Navitas, Navitas, Boon Software, HighJump Software, AFS Technologies, Bloxx IT Solutions, Infor, HAL Systems, Jungheinrich & AGI Worldwide.

Get Free Sample Pages of Global Artificial Intelligence (AI) in Cybersecurity Market Research @: https://www.htfmarketreport.com/sample-report/3345555-2020-2025-global-artificial-intelligence -3

As artificial intelligence (AI) in cybersecurity research and application [BFSI, IT & Telecom, Aerospace and Defense, Healthcare & Other] continues to expand, the market will see further integration and application of more technologies in the future. This commercialization of the market plays a positive role in accelerating artificial intelligence (AI) in digitizing cybersecurity enterprises, improving industry chain structures, and improving efficiency in the use of information. The results mainly focus on the category or type of product: hardware, software and service, etc., which underpins many recent advances in other artificial intelligence (AI) technologies in cybersecurity.

In order to provide a more informed view, the Artificial Intelligence (AI) in Cybersecurity research offers insight into the current state of the rapidly changing industry, looking through the lenses of end users and service providers. services / actors to offer a more robust vision.

Market scope

Based on product type, market segmented into, Hardware, Software & Service

Based on end-use application, the market is segmented into: BFSI, IT & Telecom, Aerospace and Defense, Healthcare & Other

Buy this Research Report @ https://www.htfmarketreport.com/buy-now?format=1&report=3345555

Regional landscape

Geographically, the Artificial Intelligence (AI) in Cybersecurity market size in terms of revenue is broken down by 18+ countries in North America, LATAM, Middle East, Asia-Pacific , Africa and Europe based on various characteristics such as geographical footprints and business operations. player locations.

HTF MI analysts shed light on artificial intelligence (AI) in cybersecurity market data by country

Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, South Korea, Thailand, India, Indonesia, Australia and others)
Europe (Germany, Russia, UK, Italy, France, Spain, Belgium, Netherlands, Switzerland, Nordics, Rest of Europe.)
North America (United States, Mexico and Canada)
South America (Brazil, Argentina, Chile, Rest of South America)
Middle East and Africa (GCC countries, Turkey, Israel, South Africa, Egypt and Rest of MEA)

The study on Artificial Intelligence (AI) in Cybersecurity cites various market development activities and business strategies such as development of new products/services, joint ventures, partnerships, mergers and acquisitions, etc. as industry players such as Advanced Systems Consultants, Cadre Technologies, ASC, Deposco, Aldata, BFC Software, IBM, Oracle, Automation Associates, Camelot 3PL Software, Appolis, Argos Software, Navitas, Navitas, Boon Software, HighJump Software , AFS Technologies, Bloxx IT Solutions, Infor, HAL Systems, Jungheinrich & AGI Worldwide are used to overcome macroeconomic scenarios. Company Profiles of Artificial Intelligence (AI) in Cybersecurity Market include business overview, product/service offerings, SWOT analysis, segment and total revenue, gross margin and market share percentage.

Doesn’t match business purpose? Inquire to Customize Report @ https://www.htfmarketreport.com/enquiry-before-buy/3345555-2020-2025-global-artificial-intelligence-3

Excerpts from the Global Artificial Intelligence (AI) in Cybersecurity Market Research

1. Market Overview
2. Global Artificial Intelligence (AI) in Cybersecurity Market Driver Analysis
– Value chain analysis
– Growth drivers, trends and challenges
– Carriers 5- Force analysis
– PESTEL analysis
3. Artificial Intelligence (AI) in Cybersecurity Market by Type (2016-2026) [, Hardware, Software & Service]
4. Market by Applications/End Users (2016-2026) [BFSI, IT & Telecom, Aerospace and Defense, Healthcare & Other]
5. Artificial Intelligence (AI) in Cyber ​​Security Market: National Landscape
6. Market Size Breakdown for Each Country
7. Competitive Landscape
– Market share analysis by players
– Company Profiles

……….. Continued

Data sources and methodology

Major sources involve the industry experts of the Global Artificial Intelligence (AI) Cybersecurity Market, including management organizations, processing organizations, industrial value chain service providers. In the extensive research process undertaken for this study, major sources considered such as postal, telephone, online and face-to-face surveys to obtain and verify qualitative and quantitative aspects. With respect to secondary sources, company annual reports, press releases, websites, investor presentation, conference call transcripts, webinars, journals, regulators, national customs associations and industry were used.

Read Detailed Index of Full Research Study at @ https://www.htfmarketreport.com/reports/3345555-2020-2025-global-artificial-intelligence-3

Thank you for reading the research publication on Artificial Intelligence (AI) in the Cybersecurity Industry; you can opt for regional report version like Western Europe, USA, China, Southeast Asia, LATAM, APAC, etc. Additionally, we can offer you customized research services as HTF MI holds a database repository that includes public organizations and millions of private companies. with expertise in various areas of the industry.

For more information on this press release, visit: http://www.sbwire.com/press-releases/artificial-intelligence-ai-in-cyber-security-market-next-big-thing-major-giants -deposco-aldata-bfc-software-1353589.htm

]]> How Artificial Intelligence is Used in the Crypto Market https://ictnieuws.net/how-artificial-intelligence-is-used-in-the-crypto-market/ Thu, 17 Feb 2022 08:00:00 +0000 https://ictnieuws.net/how-artificial-intelligence-is-used-in-the-crypto-market/ Overview If you are wondering if there is a relationship between artificial intelligence and cryptocurrency, you should know that the crypto market uses artificial intelligence in different ways. With the use of AI, the crypto market can operate 24/7, and for this, traders or investors can monitor the price at any time. This creates a […]]]>

Overview

If you are wondering if there is a relationship between artificial intelligence and cryptocurrency, you should know that the crypto market uses artificial intelligence in different ways. With the use of AI, the crypto market can operate 24/7, and for this, traders or investors can monitor the price at any time. This creates a large amount of data for the AI ​​to examine in order to estimate future prices using back data discovery such as market price analysis. As a result, crypto AI can help in more accurate price predictions. Because it eliminates the danger of human error when calculating, they are also faster predictions.

Photo by Jievani Weerasinghe on Unsplash

Nevertheless, if you want to start your crypto journey, we recommend Bitcoin Era Software. This crypto exchange platform uses advanced artificial intelligence technology to target the most profitable cryptocurrencies possible.

Also, if you want to know the role of artificial intelligence in the crypto market, our blog post will be helpful. In the section below, we have explained how artificial intelligence is used in cryptocurrency trading. Along with this, we have also highlighted how AI is benefiting the crypto market.

The role of artificial intelligence in crypto trading

Artificial intelligence helps the crypto market to create patterns in different dimensions that can determine the price and volume of the crypto market. Along with this, AI can also help analyze public sentiment (market demand) or blockchain-related data, such as mining speed, movement of cryptocurrencies, volume of trades made by the public, etc. AI can help you analyze all the key aspects needed to make profitable trades in the crypto market.

Benefits of using artificial intelligence

Now that you know what role AI plays in crypto trading, let’s discuss the benefits of using AI. Here are some of the benefits you get from using AI in the crypto market:

  • This reduces the time needed to complete all tasks, such as trading, investing, or others.
  • It is also beneficial for understanding demand and targeting possible profitable cryptocurrencies.
  • The artificial intelligence is available 24/7 and has no downtime. Therefore, you can access the crypto market at any time.
  • This can enhance your ability in various ways, such as performing detailed market research and analyzing the future growth of a particular cryptocurrency.
  • It can help you make decision-making easier by making it faster and smarter.
  • It can make an accurate prediction of the price movement of any cryptocurrency.
  • It is secure and safe; therefore, you can do your trading or investing without any doubt or worry.
  • With the help of accurate AI prediction, you can make amazing profits.

In a word

Artificial intelligence plays an important role in the crypto market and can benefit both the market and the public. So, if the crypto market starts using more advanced algorithms, then the crypto market can get more growth in the digital financial market.

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