Artificial Intelligence
IDTechEx Asks Which Real-World Applications Commercial Players Are Developing With Quantum Computers Today
BOSTON, May 23, 2024 /PRNewswire/ — The risk of missing out on the competitive advantage quantum computing offers is rising. Governments and private investors worldwide are placing multi-billion-dollar bets that the industry will produce huge long-term returns. Yet, for this to be realized, the theoretical advantage of quantum computers must be translated into real-world commercial value. In this article, IDTechEx explores which applications are being developed today across the materials, chemical, automotive, finance, and healthcare industries.
For more information on the technology differentials of quantum computing hardware platforms, timelines for commercial readiness, and twenty-year market forecasts, see the IDTechEx report, “Quantum Computing Market 2024-2044: Technology, Trends, Players, Forecasts”.
The quantum advantage simplified
Quantum computers use quantum bits instead of classical bits. Their special quantum properties allow them to represent both a ‘1’ and a ‘0’ at once in superposition and work together in an entangled group. Without understanding the physics behind this and how it works, what matters most from an end-user perspective is its impact on computational capabilities. In a classical machine, N number of bits can represent N number of states. By contrast, in a gate-based quantum computer N number of qubits can represent 2N number of states. Or, as put by Sir Peter Knight at the New Scientist Emerging Technology Summit 2024, just 300 good qubits could represent more states than there are atoms in the visible universe. This not only exponentially reduces the time it can take to solve certain existing problems but also provides a means to tackle harder and more complex ones.
For now, classical supercomputers have trillions of classical bits, and many quantum computers available only have a handful of useful qubits. Yet as worldwide efforts are concentrated on scaling up the hardware, end-users are already developing real-world use-cases. This trend can be found across multiple industry verticals, with many players angling to become early adopters and realize a competitive advantage as soon as it is available.
A qualitative assessment of how timelines to commercial value can be tracked by the use-case development stage of end-users and the progression in hardware development. The marker of ‘today’ is an average across both gate-based and annealing platforms. Source: IDTechEx
Material simulation: drugs discovery and battery chemistry
Simulating material properties at the nanoscale, or other words at the atomic level, is incredibly compute-intensive with classical machines. Moreover, some of these simulations have a reputation for not being particularly accurate—for example, predicting that an insulating material will be a conductor.
This has an impact in fields dependent on material discovery and simulation across many industry verticals, which is infamous for being a very time-consuming and costly experimental process. However, in parallel with the interest in materials informatics to solve this challenge are many investigations into the application of quantum computing to significantly accelerate materials discovery timelines.
One important example of this is within drug discovery. Players such as Janssen Pharmaceuticals are investigating how quantum computing can be used to make screening of potential drug candidates more efficient, as well as be applied for molecular simulations. This work can specifically relate to the applications in crystal structure predictions or binding affinity, as well as property predictions, including toxicity.
Material property simulation and target finding are also high-value problems in battery chemistry innovations. While classical approaches to materials informatics based on classical computing can enhance our understanding of battery chemistry, it is likely to remain less efficient than quantum computing at modeling chemical reactions at a molecular or sub-atomic level. Simulations of electron interactions can also provide a more accurate understanding of chemical reactions at anodes and cathodes, such as the degradation-inducing formation of oxides. Quantum computing can thus accelerate the development of higher-performance batteries by performing calculations beyond the capability of their classical counterparts.
Banking and Finance: pricing optimization and fraud detection
The finance sector has been amongst the earliest to engage with quantum technology. This is in part because of the criticality of robust data security in finance and, as such, preparing for the risks posed by quantum computing alongside the integration of quantum communications solutions such as quantum key distribution and post-quantum cryptography.
However, beyond the quantum risks to finance, there are also a host of potential opportunities, specifically in pricing optimization and fraud detection. With quantum computing, pricing optimization could consider many more influencing factors than it does today, evaluating the combined impact of currency, location, sustainability, supply chain, geopolitics, and more. As for fraud detection, the capability to analyze banking activity with a quantum computer could make security protocols much more streamlined. The erroneously blocked card upon the purchase of the first holiday coffee would become a thing of the past.
At the 2024 New Scientist Emerging Technology Summit, HSBC outlined their strategy of building dedicated in-house expertise to develop quantum-ready products in these areas – which can be deployed as soon as the hardware is ready. Yet HSBC are not alone in exploring quantum computing – indeed, there is activity from Goldman Sachs, JP Morgan, Barclays, Mastercard, Citi, and many more. However, some of these companies are choosing to use third parties to build use cases rather than invest in in-house teams. In the current era of a quantum talent shortage, particularly within industry, the role of the expert middleman is looking particularly lucrative.
Automotive and Aerospace: Fluid dynamics and the paint shop problem
The mega-trends in future mobility are broadly electrification and autonomy. Of course, the applications in battery chemistry simulations are of keen interest to the automotive community – who are amongst the most active in this research area from a commercial side. This is covered in much more depth in the IDTechEx Quantum Computing report. However, outside of material discovery – quantum computing also offers an edge in other areas, such as fluid dynamics and logistics.
Computational fluid dynamics (CFD) simulations are a crucial part of the design process within both automotive and aerospace. However, for very complex scenarios, the hypothesis of industry leaders such as Rolls Royce is than for iterative design of jet engine designs – the efficiency of a quantum solution could be hugely valuable.
By contrast, the application of quantum computing to logistics and operations more widely could be transformative. The multi-car paint shop problem is an example similar to the pricing optimizations within finance, whereby workflow scheduling, which accounts for a higher number of variables, will likely be better solved with a quantum computer. For example, D-wave are already ramping up productions scale deployment of an auto-scheduling product using annealing with partners of the Pattison Food Group.
Market Outlook and Conclusions
Overall, the general themes of ‘optimization and complex simulation problems’ come up time and time again as killer applications for quantum computers. Across the pharmaceutical, chemical, healthcare, automotive, finance, aerospace industries, and more – quantum expertise is rising in value.
Even though skepticism remains in some instances as to the likelihood of a universal, large-scale fault-tolerant quantum computer ever being realized as promised, there is even more disagreement as to what timelines value will realistically be realized within each industry.
Yet, for many, the risk of missing out and falling behind is too high not to engage. Looking ahead, IDTechEx anticipates the rising awareness of the risks posed by quantum technology, specifically within quantum communications and data security, will likely become a gateway for more commercial players to begin considering the opportunities quantum computing could bring them. Going forward, potential end-users must tread the line of being neither too cautious nor too enthusiastic in response to ‘quantum hype’.
With so many competing quantum computing technologies across a fragmented landscape, understanding the differences between each approach is essential in identifying realistic opportunities for growth within this exciting industry. IDTechEx’s report “Quantum Computing Market 2024-2044: Technology, Trends, Players, Forecasts” covers the hardware that promises a revolutionary approach to solving the world’s unmet challenges. Drawing on extensive primary and secondary research, including interviews with companies and attendance at multiple conferences, this report provides an in-depth evaluation of the competing quantum computing technologies: superconducting, silicon-spin, photonic, trapped-ion, neutral-atom, topological, diamond-defect, and more.
To find out more about this report, including downloadable sample pages, please visit www.IDTechEx.com/QuantumComputing.
For the full portfolio of quantum technologies market research from IDTechEx, including the broader Quantum Technology Market and more in-depth research relating to Quantum Communications and Quantum Sensors, please visit www.IDTechEx.com/Research/Quantum.
About IDTechEx:
IDTechEx provides trusted independent research on emerging technologies and their markets. Since 1999, we have been helping our clients to understand new technologies, their supply chains, market requirements, opportunities and forecasts. For more information, contact [email protected] or visit www.IDTechEx.com.
Images download: https://www.dropbox.com/scl/fo/1dgjy4ewh1xxv3d440v95/AD0_z3_PkIE3HVM9Q10feHg?rlkey=u8c93pac7ixrtmqp30xu4n2yv&dl=0
Media Contact:Lucy RogersSales and Marketing [email protected] +44(0)1223 812300
Social Media Links:Twitter: www.twitter.com/IDTechExLinkedIn: www.linkedin.com/company/IDTechEx
Photo – https://mma.prnewswire.com/media/2420692/IDTechEx_qualitative_assessment.jpgLogo – https://mma.prnewswire.com/media/478371/IDTechEx_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/idtechex-asks-which-real-world-applications-commercial-players-are-developing-with-quantum-computers-today-302154295.html
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.
Get Free Sample @ https://reports.valuates.com/request/sample/ALLI-Auto-2B326/Data_Center_Chip_Market
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.
View Full Report @ https://reports.valuates.com/market-reports/ALLI-Auto-2B326/data-center-chip
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.
Buy Now @ https://reports.valuates.com/api/directpaytoken?rcode=ALLI-Auto-2B326&lic=single-user
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.
Purchase Regional Report @ https://reports.valuates.com/request/regional/ALLI-Auto-2B326/Data_Center_Chip_Market
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
SUBSCRIPTION
We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.
DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
– The global modular data center market size was valued at USD 14,952 Million in 2019 and is projected to reach USD 59,971 Million by 2027, registering a CAGR of 18.7% from 2020 to 2027.
– Data Centre Market was estimated to be worth USD 137500 Million in 2023 and is forecast to a readjusted size of USD 412740 Million by 2030 with a CAGR of 16.8% during the forecast period 2024-2030.
– Data Center PCIe Chip market was valued at USD 194.9 Million in 2023 and is anticipated to reach USD 377.4 Million by 2030, witnessing a CAGR of 10.2% during the forecast period 2024-2030.
– Data Center Accelerator Market
– Data Center Networking Market
– According to a new report published by , titled, “Big Data Analytics in Semiconductor & Electronics Market,” The big data analytics in semiconductor & electronics market was valued at D18.7 billion in 2021, and is estimated to reach D47.2 billion by 2031, growing at a CAGR of 9.9% from 2022 to 2031.
– IoT market was valued at USD 34250 Million in 2023 and is anticipated to reach USD 74630 Million by 2030, witnessing a CAGR of 11.6% during the forecast period 2024-2030.
– Data Center AI Accelerator Chip Market
– Electro-absorption Modulated Laser Chip Market
– According to a new report published by , titled, “Data Processing Unit Market”, the data processing unit market was valued at D553.96 Million in 2021, and is estimated to reach D5.5 billion by 2031, growing at a CAGR of 26.9% from 2022 to 2031.
– Optical Chip for Data Center Market
– EML Chip Market
– Optical Communication Chip Market revenue was USD 3102.7 Million in 2022 and is forecast to a readjusted size of USD 7251.5 Million by 2029 with a CAGR of 12.9% during the forecast period (2023-2029).
– SiC Power Chip Market
– Silicon Carbide Chip Market
– High Speed Optical Communication Chip Market
– 56G eml Optical Chip Market
– FPGA Master Control Chip Market
– Single-port Industrial Grade Ethernet PHY Chip Market
– AWG Chip Market
– Discrete Graphics Chip Market
– LNOI Optoelectronic Chip Market
– Smartphone Chip Market
– Smartphone TFT-LCD Display Driver Chip Market
– Smart Phone Baseband Chip Market
DISCOVER OUR VISION: VISIT ABOUT US!
Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
YOUR FEEDBACK MATTERS: REACH OUT TO US!Valuates [email protected] U.S. Toll-Free Call 1-(315)-215-3225WhatsApp: +91-9945648335Website: https://reports.valuates.comBlog: https://valuatestrends.blogspot.com/ Pinterest: https://in.pinterest.com/valuatesreports/ Twitter: https://twitter.com/valuatesreports Facebook: https://www.facebook.com/valuatesreports/ YouTube: https://www.youtube.com/@valuatesreports6753 https://www.facebook.com/valuateskorean https://www.facebook.com/valuatesspanish https://www.facebook.com/valuatesjapanese https://valuatesreportspanish.blogspot.com/ https://valuateskorean.blogspot.com/ https://valuatesgerman.blogspot.com/ https://valuatesreportjapanese.blogspot.com/
Logo: https://mma.prnewswire.com/media/1082232/Valuates_Reports_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/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-302207745.html
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:
https://www.skyquestt.com/speak-with-analyst/industry-4-0-market
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.
View report summary and Table of Contents (TOC):
https://www.skyquestt.com/report/industry-4-0-market
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.
Related Report:
Digital Twin Market
Cyber Security Market
Artificial Intelligence (AI) Market
Internet Of Things (IoT) Market
Machine Learning Market
About Us:
SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.
We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.
Contact: Mr. Jagraj SinghSkyQuest Technology1 Apache Way,Westford,Massachusetts 01886USA (+1) 351-333-4748Email: [email protected] Our Website: https://www.skyquestt.com/
Logo : https://mma.prnewswire.com/media/2446095/SkyQuest_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/industry-4-0-market-to-surpass-usd-513-89-billion-by-2031-with-automation-surge–skyquest-technology-302206499.html
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
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=164202814
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.
Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=164202814
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.
Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=164202814
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).
Browse Adjacent Market: Artificial Intelligence (AI) Market Research Reports & Consulting
Browse Other Reports:
AI Model Risk Management Market – Global Forecast to 2029
AI in Chemicals Market – Global Forecast to 2029
Artificial Intelligence in Cybersecurity Market – Global Forecast to 2028
Explainable AI Market – Global Forecast to 2028
Artificial Intelligence (AI) Toolkit Market – Global Forecast to 2028
Get access to the latest updates on Generative AI cybersecurity Companies and Generative AI cybersecurity Industry
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Rohan SalgarkarMarketsandMarkets™ INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Website: https://www.marketsandmarkets.com/
Logo: https://mma.prnewswire.com/media/1951202/4609423/MarketsandMarkets.jpg
View original content:https://www.prnewswire.co.uk/news-releases/generative-ai-cybersecurity-market-worth-40-1-billion-by-2030—exclusive-report-by-marketsandmarkets-302207361.html
-
Artificial Intelligence3 days agoaelf Welcomes First COO to Foster AI and Blockchain Synergies
-
Artificial Intelligence3 days agoSINGAPORE INKS MOU WITH QUANTINUUM, ENABLING ACCESS TO THEIR ADVANCED QUANTUM COMPUTER
-
Artificial Intelligence3 days agoDeep North Rebrands as StrataVision
-
Artificial Intelligence3 days agoCandyspace strengthens ecommerce capabilities with the acquisition of Profound
-
Artificial Intelligence4 days agoEmmes Group partners with Miimansa AI to accelerate adoption of Generative AI in clinical research
-
Artificial Intelligence5 days ago
Wego Announces Partnership with Visit Valencia to Promote the Spanish City as a Premier Travel Destination
-
Artificial Intelligence4 days ago
GreenRoad Ushers in New Era in Fleet Safety with Digital Edge™
-
Artificial Intelligence3 days agoAppdome Tackles Geo-Fraud with More Defenses for Mobile Apps
