Artificial Intelligence
New To The Street / Newsmax TV Announces 9 Interviews for This Week’s Broadcast, Sunday, August 01, 2021, Hour Slot 10-11 AM ET
NEW YORK, July 30, 2021 (GLOBE NEWSWIRE) — FMW Media’s New To The Street / Newsmax TV announces this week’s, Sunday, August 01, 2021, broadcasting line-up of its national syndicated 1- hour show, 10-11AM ET.
1). Cryptocurrency, Finxflo’s ($FXF) interview with Mr. James Gillingham, CEO
2). RushNet, Inc.’s (a.k.a – heliosDX) (OTCPink: RSHN) interview with Ashley Sweat, Chief Executive Officer / Chairman
3). Artificial Intelligence Technology Solutions, Inc.’s (OTCPink: AITX) interview with Steven Reinharz, CEO.
4). GlobeX Data Ltd’s (OTCQB:SWISF) (CSE:SWIS) (FRA:GDT) interview with Mr. Alain Ghiai, CEO
5). StrikeForce Technologies, Inc.’s (OTCQB:SFOR) interviews with both Mr. Mark Kay, CEO and Mr. George Waller Executive Vice-President
6). Cryptocurrency, Nobility’s (Crypto:NBL) ($NBL) interview with Mr. Kyle McDougal, CEO
7). Cryptocurrency, StackOS’ (Crypto:STACK) ($STACK) interview with Vishnu Korde, CEO and Chief Architect
8). Cryptocurrency, Sportemon GO’s (Crypto:SGO) ($SGO), Interview with Ricky Jackson, CEO
9). Sekur’s® (division of GlobeX Data Ltd) internet privacy segment with Mr. Alain Ghiai, CEO
On New to The Street’s TV show, Mr. James Gillingham, CEO, FINXFLO ($FXF)(CRYPTO: FXF), the world’s first hybrid DeFi/CeFi liquidity aggregator, shares details around a number of FXF’s recent announcements, whereas FXF continues to grow its platform to provide a seamless and user-friendly cryptocurrency trading experience. He talks to viewers about their “KYT” (Know Your Transaction), explaining how the “KYT” system works for trading and best price for crypto platforms. Mr. Gillingham shares his insight on the institutional investors and entities getting more involved in trading crypto assets.
Ashley Sweat, CEO at RushNet, Inc. (a.k.a – heliosDX) (OTCPink: RSHN) joins the New to The Street show. Mr. Sweat explains RushNet, Inc.’s. (heliosDX) very sophisticated and technological advanced clinical laboratory, which can provide highly accurate test for a variety of different medical and clinical needs. Further, he outlines RSHN’s business model and the expected growth associated with their lab platforms and its uniqueness in the clinical lab industry sector.
New to the Street TV provides Mr. Steven Reinharz, CEO at Artificial Intelligence Technology Solutions, Inc. (OTCPink: AITX) the opportunity to talk to viewers about the Company and its wholly-owned subsidiary, Robotic Assistance Devices, Inc. (RAD). He gives very detailed description of its AI-driven security analytical product, ROSA 180 (Responsive Observation Security Agent). Mr. Reinharz provides numerous real use application and its successful roll-outs as a less expensive and efficient security solution for a number of industries.
Once again on New to The Street TV, Mr. Alain Ghiai, CEO, GlobeX Data, Ltd (OTCQB:SWISF) (CSE:SWIS) (FRA:GDT). Alain Ghiai, again, gives more pivotal information to viewers about their business and their plans to grow the Company. He provides in-depth discussion of the Company’s successful growth of its secure and encrypted software solutions, SekurSafe® and Sekur® He gives very specific and interesting dialog about keeping their clients’ business communications and data safe while utilizing Swiss Privacy Laws (watch for special segment during the this week’s show about Sekur® – https://sekur.com).
Another appearance this week on New to the Street interviews with StrikeForce Technologies, Inc.’s (OTCQB:SFOR) Mr. Mark Kay and Mr. George Waller, Executive Vice-President. Both of the Company’s executives talk to New to The Street TV about SFOR’s cyber security products and services that provides next-gen cyber, privacy and data protection solutions for business and home users. During the interview, they talk about the Company’s recently launched v2.1 for secure video conferencing which combines the reliability and scalability of their secure SafeVchat Meetings product.
On this week’s show, New to the Street, welcomes Mr. Kyle McDougal, CEO, at Nobility (Crypto:NBL) ($NBL), a cryptocurrency token enterprise. Mr. McDougal gives TV viewers an informative interview with a discussion about this cryptocurrency token that looks to revolutionize the e-sports landscape by injecting the industry with high quality offerings, prize pools, and tournaments.
StackOS’ (Crypto:STACK) ($STACK) Mr. Vishnu Korde, CEO and Chief Architect, talks to the New to The Street viewers about “STACK”. He provides the viewers with information about how individuals can utilize StackOS’ open and decentralized cloud app which can be deployed as any full-stack application, decentralized app (DApps) and blockchain. He explains that StackOS app comes with a multitude of functionalities that can help you or your business in anonymous and quick blockchain development.
New to The Street interviews Mr. Ricky Jackson, CEO at cryptocurrency Sportemon GO (Crypto:SGO) ($SGO). Mr. Jackson talks about the Company’s unique cryptocurrency, with a purpose to revolutionize both the interactive gaming, NFT collectible and broader sport experience industries. He explains that Sportemon Go will enable its users to find, buy, hunt, collect and trade NFTs of their favorite sporting heroes in both the natural physical and virtual world and in real- time.
New to The Street provides, again this Sunday, a whole segment with internationally acclaimed internet privacy expert Mr. Alain Ghiai gives New to The Street’s TV host, Ann Berry, specifics about Sekur® (division of GlobeX Data Ltd). Mr. Ghiai detailed interview about how Sekur® encrypts all of their subscribers’ communication, does not collect or sell data and how Sekur utilizes Swiss Privacy Laws.
About FINXFLO:
Co-founded by leaders in their respective niches, FINXFLO is a platform that focuses on changing the cryptocurrency market through innovation. As the world’s first hybrid DeFi/CeFi liquidity and protocol aggregator, FINXFLO brings a one-stop solution for all cryptocurrency traders and investors. Using only one account with one KYC, our users are now able to utilize liquidity from 25+ CeFi and DeFi platforms through a single user interface. In simple terms, FINXFLO blends all the upsides of DeFi and CeFi ecosystems to produce the ultimate product- finxflo.com.
About HeliosDx (RushNet, Inc) (OTCPink: RSHN):
heliosDX (OTCPink: RSHN) is a National Clinical Reference Laboratory offering High-Complexity Urine Drug Testing (UDT), Behavioral Drug Testing, Allergy Droplet Cards, Oral Fluids, Infectious Disease (PCR), and NGS Genetic Testing. The Company is contracted in 44 of the lower 48 states, and looking to expand its reach and capabilities. The Company continually invests in its infrastructure with the most efficient scientific proven instruments, and latest cutting-edge software for patient and physician satisfaction. This allows heliosDX to provide physicians fast and accurate reporting meeting and exceeding industry benchmarks. heliosDX excels in patient and client care through physician designed panels that aid in testing compliance and reporting education- https://heliosdx.com/.
About Artificial Intelligence Technology Solutions (OTCPink:AITX):
AITX is an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, AITX’s RAD and RAD-M companies help organizations streamline operations, increase ROI and strengthen business. AITX technology improves the simplicity and economics of patrolling and guard services, and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staffs and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education and healthcare. To learn more, visit www.aitx.ai and www.roboticassistancedevices.com, or follow Steve Reinharz on Twitter @SteveReinharz.
About GlobeX Data Ltd. (OTCQB:SWISF) (CSE:SWIS) (FRA:GDT):
GlobeX Data Ltd. (OTCQB:SWISF) (CSE:SWIS) (FRA:GDT) is a Cybersecurity and Internet Privacy provider of Swiss hosted solutions for secure communications and secure data management. The Company distributes a suite of secure messaging applications, encrypted e-mails, secure communications and secure data management tools, using Swiss privacy laws, proprietary technology and its own independent platform, away from big techs hosting platforms. GlobeX Data Ltd. sells its products through its approved wholesalers and distributors, and telecommunications companies worldwide. GlobeX Data Ltd. serves consumers, businesses and governments worldwide – https://globexdata.com. Sekur® is a Swiss secure communications application offering secure and private messaging, emails, voice messages, self-deleting messages, and file transfers from any mobile device, tablet, or desktop. Sekur users can communicate with Sekur and with non-Sekur users, through its unique Chat-By-Invites feature and SekurSend email system. All data traffic stay in GlobeX Data’s Swiss hosted servers, using its proprietary HeliX technology, military grade encryption and benefiting from Swiss Privacy Laws – https://sekur.com. Twitter: @globexdata.
About Strike Force Technologies, Inc. (OTCQB:SFOR):
StrikeForce Technologies, Inc. (OTCQB:SFOR) provides a suite of online products that helps prevent cyber theft and data breaches by protecting customers, employees and partners in real time at every vulnerable point. Our Products are: ProtectID®: offers 2-factor “Out-of-Band” authentication across many methods and devices for protection. Methods that is preferable and low cost for delivering One Time Passwords (OTP). This approach leverages a 2nd network for entering or receiving passwords, which locks out hackers even if they have your username and password. Service is available for in-house, Cloud Service or hybrid. (Patent Nos.: 7870599 & 8,484,698 & 8,713,701). GuardedID®: a keyboard encryption and anti-keylogger that functions at the keyboard level, preventing keyloggers (viruses like Zeus, etc.) from stealing login and confidential information. This has become the #1 Consumer Threat noted by the FBI and the 2010-2013 Verizon Data Breach Reports. Three Patents for keystroke encryption, US Patents 8,566,608; 8,732,483; and 8,973,107 and two pending patents. MobileTrust® is an iPhone/iPad and Android all devices password vault that includes a strong password generator. MobileTrust also includes a Mobile Multi-Factor OTP authenticator and keystroke encryption between its virtual keyboard and secured browser, which is critical to all confidential online transactions and other features (One International Patent Pending). Our new product secure SafeVchat is a video conferencing product –https://www.strikeforcetech.com/.
About Nobility Token (Crypto:NBL) ($NBL):
Nobility aims to solve the problems involving the current limitations of the esports gaming industry by innovating onto the industry the use of blockchain technology combined with the advantages of decentralized finance to create a fair, balanced and sustainable model for all market participants. Sighting in the global gaming industry, a multi-billion dollar revenue stream, the Nobility token will be offered as a scalable solution to be adopted globally. Nobility users will inherently benefit from holding Nobility tokens for extended amounts of time. The token itself is specifically engineered to provide an incentive for adoption and use cases. The more adoption/use-cases are we create; the more volume we’ll have which will amplify our tokenomics: reflection, LP acquisition, and inherent burn- https://nobilitytoken.com/
About StackOS (Crypto:STACK) ($STACK):
StackOS comes with a multitude of functionalities that can help you or your business in anonymous and quick blockchain development. StackOS is created by a community of developers around the world, living in USA, Europe, South Korea and India. You can stake STACK tokens, Ethereum, NEO and Gas for a claim on Memory, CPU, disk space and bandwidth on the StackOS’ decentralized cloud. As resources are consumed on the network, the locked in cryptos are shared amongst the StackOS nodes that are running the network. Application in the StackOS are deployed as a container using docker images. The ability to use all existing and publicly available docker images, and its support for any programming language make StackOS the most easy to use technology in the blockchain space. End-users can deploy private testnets of Ethereum, NEO and other popular blockchains to privately test their DApps -https://www.stackos.io/.
ABOUT Sportemon GO (Crypto:SGO) ($SGO):
Sportemon Go was founded in 2021 by Ricky and Corey Jackson. With illustrious backgrounds in sports marketing and sporting software, the pair envisaged the creation of a platform to stand as a world premiere in NFT augmented reality sports trading. With a purpose to revolutionize both the gaming and NFT collectible industries, Sportemon Go will enable its users to hunt and collect NFTs of their favourite sporting heroes in both the real world and in real time. Creating the perfect synergy between our current world and the metaverse, participants will be able to interact at stadiums and sporting events like never before. Sportemon Go is funded solely through its own cryptocurrency, a BEP20 token leveraging a smart contract on the Binance Block Chain network. This native cryptocurrency will power the entire economy within the platform allowing users to purchase NFT collectibles, form their ultimate team, participate in mini games, earn rewards and much more – https://sportemongo.com/.
About FMW Media:
FMW Media operates one of the longest-running U.S and International sponsored and Syndicated Nielsen Rated programming T.V. brands “New to the Street,” and its blockchain show “Exploring The Block.” Since 2009, these brands run biographical interview segment shows across major U.S. Television networks. The TV platforms reach over 540 million homes both in the US and international markets. FMW recently added Newsmax to its broadcasting platform with its first show broadcasted Sunday, December 27th. The NEWSMAX New to The Street show is syndicated on Sundays at 10 AM EST. FMW is also one of the nation’s largest buyers of linear Television long and short form- https://www.newsmaxtv.com/Shows/New-to-the-Street
https://www.newtothestreet.com/
Forward-Looking Statements Disclaimer:
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. In some cases, you can identify forward-looking statements by the following words: “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “ongoing,” “plan,” “potential,” “predict,” “project,” “should,” “will,” “would,” or the negative of these terms or other comparable terminology, although not all forward-looking statements contain these words. Forward-looking statements are not a guarantee of future performance or results, and will not necessarily be accurate indications of the times at, or by, which such performance or results achieved. This press release should be considered in light of all filings of the Company contained in the Edgar Archives of the Securities and Exchange Commission at www.sec.gov.
FMW Media Contact:
Bryan Johnson
+1 (631) 766-7462
[email protected]
And
“New to The Street” Business Development office
[email protected]
1-516-696-5900
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/f5b98ced-06a2-44fe-8361-5f28ec9a986a
Artificial Intelligence
Data Center Chip Market Size was Valued at USD 11.7 Billion in 2022 and is Expected to Reach USD 45.3 Billion by 2032 at a CAGR of 14.6% | Valuates Reports
BANGALORE, India, July 26, 2024 /PRNewswire/ — Data Center Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, Others), By Data Center Size (Small and Medium Size, Large Size), By Industry Verticals (BFSI, Manufacturing, Government, IT and Telecom, Retail, Transportation, Energy and Utilities, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032.
The Data Center Chip Market was valued at USD 11.7 Billion in 2022, and is estimated to reach USD 45.3 Billion by 2032, growing at a CAGR of 14.6% from 2023 to 2032.
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Major Factors Driving the Growth of Data Center Chip Market
Because of the growing need for data processing and storage solutions brought about by the quick development of cloud computing, artificial intelligence, and big data analytics, the data center chip market is expanding significantly. High-performance chips are necessary for data centers to process massive volumes of data quickly and efficiently. As a result, advances in chip technology, including CPUs, GPUs, and specialist AI processors, have been made. The need for more resilient and scalable data center infrastructure is fueled in part by the expansion of digital services and Internet of Things (IoT) devices. The market is expanding due to key areas including Asia-Pacific, with its investments in technology and fast digital transformation, and North America, with its top tech businesses and vast data center networks.
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TRENDS INFLUENCING THE GROWTH OF THE DATA CENTER CHIP MARKET:
In data centers, Graphics Processing Units (GPUs) are essential for speeding up computing operations and data processing. They are perfect for managing workloads related to artificial intelligence (AI), machine learning, and large-scale data analytics because of their parallel processing capabilities. The need for GPUs in data centers is growing as these technologies become increasingly essential to corporate operations. Businesses are purchasing GPUs in order to increase the effectiveness of their data processing, lower latency, and boost overall performance. The need for data center chips is being driven by the increasing reliance on GPUs for sophisticated computing activities, which is considerably contributing to the market’s rise. This need is further increased by the growing use of AI and machine learning in a variety of sectors, which puts GPUs at the forefront of the data center semiconductor industry.
Compared to general-purpose chips, Application Specific Integrated Circuits (ASICs) provide better performance and efficiency since they are designed specifically for a given application. ASICs are extensively utilized in data centers for specific tasks including networking, data compression, and encryption. ASICs are becoming more and more common as a result of the growth of cloud computing, big data analytics, and blockchain technology, which has increased demand for high-performance, energy-efficient processors. Their capacity to provide tailored performance for certain applications aids data centers in better workload management, power conservation, and operating expense reduction. The market is expanding as a result of the increased preference for ASICs in data centers, which is fueling the need for specialized data center chips.
Large data centers are important users of data center chips; they are run by well-known IT firms and cloud service providers. To manage enormous volumes of data and provide a wide range of services, these facilities need a great deal of processing power and sophisticated computing skills. High-performance data center chips are becoming more and more necessary as a result of the growth of massive data centers and the rising demand for online streaming, cloud services, and digital transactions. These chips are necessary to ensure effective data management, processing, and storage, which helps big data centers fulfill the increasing expectations of its clientele. Large data center proliferation is anticipated to considerably boost the data center chip industry as the digital economy continues to grow.
Data centers are becoming more and more important to the Banking, Financial Services, and Insurance (BFSI) industry as a means of safely and effectively managing high transaction volumes, consumer data, and financial records. The need for sophisticated data center processors is being driven by the sector’s requirement for real-time data processing, high-performance computing, and strong security measures. BFSI organizations may improve their operational efficiency, guarantee data integrity, and deliver superior client services by utilizing data centers fitted with robust chips. The BFSI sector’s need for data center chips is being driven by the increasing use of online banking, digital banking, and financial analytics tools, all of which increase the requirement for sophisticated data center infrastructure.
The market for data center chips is significantly influenced by the cloud computing industry’s explosive growth. There is a growing need for scalable, effective, and high-performance data center infrastructure as more companies move their operations to the cloud. In order to handle enormous volumes of data, facilitate virtualization, and guarantee flawless service delivery, cloud service providers need sophisticated data center chips. Sturdy data center chips are becoming more and more necessary as cloud-based solutions become more and more popular. Benefits like cost savings, flexibility, and scalability are driving this trend. In places like North America and Europe, where cloud adoption rates are high and data center chip demand is rising rapidly, this tendency is especially significant.
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DATA CENTER CHIP MARKET SHARE
In 2022, North America gained a sizable portion of the market.
In 2022, the GPU made up the largest portion of the market share.
Throughout the projection period, large data centers are expected to gain a significant portion.
The BFSI market is anticipated to be one of the most profitable markets.
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Key Companies:
Advanced Micro Devices IncTaiwan Semiconductor Manufacturing Company LimitedBroadcomHuawei Technologies Co LtdIntel CorporationNVidia CorporationSamsung Electronics Co LtdQualcomm Technologies IncGlobalFoundriesARM LIMITED (SOFTBANK GROUP CORP.)Purchase Chapters @ https://reports.valuates.com/request/chaptercost/ALLI-Auto-2B326/Data_Center_Chip_Market
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Artificial Intelligence
Industry 4.0 Market to Surpass USD 513.89 Billion by 2031 with Automation Surge | SkyQuest Technology
WESTFORD, Mass., July 26, 2024 /PRNewswire/ — According to SkyQuest, the global Industry 4.0 Market size was valued at USD 133.05 billion in 2022 and is poised to grow from USD 154.6 billion in 2023 to USD 513.89 billion by 2031, growing at a CAGR of 16.2% during the forecast period (2024-2031).
Industry 4.0 or the fourth industrial revolution emphasizes the use of automation and interconnectivity. Employment of advanced technologies such as artificial intelligence, machine learning, robotics, and connected devices to improve the productivity and efficiency of industries. Rapid digitization and advancements in technology are forecasted to bolster the Industry 4.0 market growth over the coming years. The global Industry 4.0 market is segmented into technology, industry vertical, and region.
Download a detailed overview:
https://www.skyquestt.com/sample-request/industry-4-0-market
Industry 4.0 Market Overview:
Report Coverage
Details
Market Revenue in 2023
$ 154.6 billion
Estimated Value by 2031
$ 513.89 billion
Growth Rate
Poised to grow at a CAGR of 16.2%
Forecast Period
2024–2031
Forecast Units
Value (USD Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
Technology, Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.
Report Highlights
Internet of Things (IoT) technology takes centerstage for Industry 4.0 adoption
Key Market Opportunities
Adoption of smart manufacturing and additive manufacturing practices
Key Market Drivers
Rising demand for automation across all industry verticals
Segments covered in Industry 4.0 Market are as follows:
TechnologyRobots (Traditional Industrial Robots {Articulated robots, Cartesian Robots, Selective Compliance Assembly Robot Arm (SCARA), Cylindrical Robots, Others}, Collaborative Robots), Blockchain in Manufacturing, Industrial Sensors (Level Sensors, Temperature Sensors, Flow Sensors, Position Sensors, Pressure Sensors, Force Sensors, Humidity & Moisture Sensors, Gas Sensors), Industrial 3D Printing, Machine Vision (Camera {Digital Camera, Smart Camera}, Frame Grabbers, Optics, and LED Lighting, Processor and Software), HMI (Offering {Hardware [Basic HMI, Advanced Panel-based HMI, Advanced PC-based HMI, Others], Software [On-premises HMI, Cloud-based HMI], Services}), Configuration ({Embedded HMI, Standalone HMI}, Technology {Motion HMI, Bionic HMI, Tactile HMI, Acoustic HMI}, End-user Industry {Process industries [Oil & Gas, Food & beverages, Pharmaceuticals, Chemicals, Energy & power, Metals & mining, Water & wastewater, Others], Discrete industry [Automotive, Aerospace & defense, Packaging, Medical devices, Semiconductor & electronics, Others]}), AI In Manufacturing (Offering {Hardware [Processor MPU, GPU, FPGA, ASIC, Memory, Network], Software [AI solutions- | On-premises, Cloud |, AI platform- | Machine learning framework, Application program interface |], Services [Deployment & integration, Support & maintenance]}, Technology {Machine learning [Deep learning, Supervised learning, Reinforcement learning, Reinforcement learning, Others], Natural language processing [Context-aware computing, Computer vision]}, Application {Predictive maintenance and machinery inspection, Material movement, Production planning, Field services, Quality control, Cybersecurity, Industrial robots, Reclamation}, Digital Twin {Technology [Internet of Things (IOT), Blockchain, Artificial intelligence & machine learning, Artificial intelligence & machine learning, Big data analytics, 5G], Usage Type [Product digital twin, Process digital twin, System digital twin], Application [Product design & development, Performance monitoring, Predictive maintenance, Inventory management, Business optimization, Others]}, Automated Guided Vehicles (AGV) {Type [Tow vehicles, Unit load carriers, Pallet trucks, Assembly line vehicles, Forklift trucks, Others], Navigation Technology [Laser guidance, Magnetic guidance, Inductive guidance, Optical tape guidance, Vision guidance, Others]}, Machine Condition Monitoring {Monitoring Technique [Vibration monitoring, Embedded systems, Vibration analyzers and meters, Thermography, Oil analysis, Corrosion monitoring, Ultrasound emission, Motor current analysis], Offering [Hardware – Vibration sensors, Accelerometers, Tachometers, Infrared sensors, Spectrometers, Ultrasound detectors, Spectrum analyzers, Corrosion probes], Software [Data integration, Diagnostic reporting, Order tracking analysis, Parameter calculation], Deployment Type [On-premises deployment, Cloud deployment], Monitoring Process [Online condition monitoring, Portable condition monitoring]})IndustryManufacturing, Automotive, Energy, Medical, Semiconductor & Electronics, Food & Beverage, Oil & Gas, Aerospace, Metals & Mining, Chemicals, and OthersRequest Free Customization of this report:
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Internet of Things (IoT) Technology to Remain Indispensable for Industry 4.0
Internet of Things (IoT) remains the most crucial technology in global Industry 4.0 market growth owing to its role in interconnectivity and automation across different verticals. Advancements in connectivity technologies and rising use of automation in different industry verticals are also estimated to help this sub-segment gain an impressive market share. Surging demand for predictive maintenance will also boost the adoption of IoT technology in the long run.
Advanced robotic technologies are also slated to gain traction in the Industry 4.0 market. Growing acceptance of robots and high investments in advancements of robotic technologies are also slated to create new opportunities for providers of advanced robotics in the Industry 4.0 market. The low margin of error and the immense scope of automation are key benefits of robotics that help this sub-segment flourish.
Artificial intelligence (AI) will be another popular technology in the Industry 4.0 world going forward. Increasing demand for continuous monitoring, real-time analytics, and predictive maintenance are slated to help the demand for artificial intelligence in the future. The rising use of IoT devices will also boost the demand for cloud computing technology in the long run.
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Manufacturing Vertical to Spearhead Industry 4.0 Market Development
The manufacturing vertical is estimated to be at the forefront when it comes to Industry 4.0 adoption. The surge in use of robotics, advanced technologies, and smart manufacturing practices sets the tone for Industry 4.0 in this industry vertical. High emphasis on improving manufacturing efficiency, reducing downtime, and maximizing profits are all contributing to the high market share of this sub-segment.
The automotive industry is another vertical where Industry 4.0 market players could invest to get good returns. The high adoption of advanced robotics and other smart manufacturing technologies to maximize production allows this sub-segment to become a crucial one for Industry 4.0 providers. The aerospace and defense industry vertical also shows a lot of promise for Industry 4.0 companies going forward. Growing demand for advanced manufacturing techniques and technologies to create complex aerospace components is helping Industry 4.0 market growth via this segment.
The oil & gas industry is also estimated to embrace Industry 4.0 trend with open hands as they try to improve their operations and promote better resource utilization. High demand for predictive maintenance to reduce downtime and the growing adoption of digital oilfield solutions are estimated to bolster Industry 4.0 market development in the long run.
To sum it up, the application scope for Industry 4.0 is endless as automation and digitization pick up pace around the world. High investments in development of IoT and AI technologies will create better opportunities for Industry 4.0 companies in the future. The manufacturing industry will remain the top revenue generating sub-segment and more opportunities for aerospace, automotive, and oil & gas verticals will be seen over the coming years.
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Artificial Intelligence
Generative AI Cybersecurity Market worth $40.1 billion by 2030 – Exclusive Report by MarketsandMarkets™
CHICAGO, July 26, 2024 /PRNewswire/ — The Generative AI cybersecurity Market is anticipated to experience substantial expansion, ascending from a value of USD 7.1 billion in 2024 to a substantial worth of USD 40.1 billion by the year 2030, according to a new report by MarketsandMarkets™. This growth trajectory reflects a robust compound annual growth rate (CAGR) of 33.4% over the forecast period.
Browse in-depth TOC on “Generative AI cybersecurity Market”
350 – Tables 60 – Figures450 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2030
Base year considered
2023
Forecast period
2024–2030
Forecast units
USD (Million)
Segments Covered
Offering, Generative AI-based Cybersecurity, Cybersecurity for Generative AI, Security Type, End-user, and Region
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US).
This dramatic surge is being fueled by a number of causes. The primary growth driver is the enhancement of existing cybersecurity tools through generative AI algorithms by improving anomaly detection, automating threat hunting and penetration testing, and providing complex simulations for security testing purposes. These techniques enable various cyber-attack scenarios that can be simulated using the Generative Adversarial Networks (GANs), thus enabling the development of better preparedness and response strategies. On the other hand, it requires special cyber security tools to protect generative AI workloads against unique vulnerabilities such as adversarial attacks, model inversions and LLM poisoning. These tools include differential privacy and secure multi-party computation that are integrated into AI systems for training and deployment data protection purposes.
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Generative AI apps security segment will account for largest market share during the forecast period.
The cybersecurity landscape is rapidly changing for generative AI apps, which are already making their way into chatbots, content creation tools like word processors, and personalized recommendation systems. According to McAfee, 55% of these programs have had security breaches. This highlights the dire need for stronger protective measures from unauthorized access. Several generative AI applications that use adversarial techniques to force the desired reaction out of intelligent machines.
Therefore, there is a pressing demand in the number of developers who ensure that such machines are made more robust through techniques like adversarially trained models and resistant architectures. Finally, the usage of secure enclaves plus hardware-based security measures is growing off late, mainly aimed at safeguarding vulnerable AI computations from being tampered with. For instance, OpenAI has very strict security rules meant to protect GPT models thereby ensuring data integrity and user privacy.
By end-user, government & defense sector is poised to account for larger market share in 2024.
Government as well as defense industries are increasingly resorting to generative AI for cyber security purposes due to the urgency of protecting sensitive information and national security. According to a recent CSIS report, AI is being integrated into the cybersecurity framework of 43% of government agencies which resultantly improves their ability to identify and counter threats. As an example, the United States Department of Defense has started using artificial intelligence (AI) based security solutions backed by generative AI that can create fictitious cyber-attacks, thereby providing them with enhanced preparedness against advanced types of threats.
This technology also helps these sectors handle and analyze large volumes of data more effectively, giving valuable insights that will enable them prevent or mitigate cyber threats. This trend demonstrates an increasing reliance on generative AI in fortifying cyber security measures so as to ensure that critical infrastructure and sensitive data remain secure in today’s intricate digital landscape.
By region, North America to hold the largest share by market value in 2024.
In 2024, North America will be the leading region based on market share due to its excellent technology infrastructure, substantial investments in AI-enabled cybersecurity and the presence of key players. Major cyber security research universities and tech companies such as Google, AWS, CrowdStrike, SentinelOne and IBM are present in this area, pushing them on the forefront of potent risk management technologies and generative AI tools for threat detection. For example, IBM’s security platform powered by AI has improved detection rates for threats up by 40%, thus proving the relevance of AI technology to enhancing cybersecurity.
Moreover, legislative instruments such as Cybersecurity Information Sharing Act (CISA) are being put in place to promote advanced cybersecurity technologies. As internet attacks continue getting more complicated, North American enterprises prefer generative artificial intelligence (AI), so as to enhance their safety measures pertaining to personal data and digital infrastructure.
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Top Key Companies in Generative AI cybersecurity Market:
The major players in the generative AI cybersecurity market include Palo Alto Networks (US), AWS (US), CrowdStrike (US), SentinelOne (US), and Google (US), along with SMEs and startups such as MOSTLY AI (Austria), XenonStack (UAE), BigID (US), Abnormal Security (US), and Adversa AI (Israel).
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