Artificial Intelligence
Data Center Solutions Market worth $591.7 billion by 2028 – Exclusive Report by MarketsandMarkets™
CHICAGO, Jan. 24, 2024 /PRNewswire/ — Incorporating edge computing, embracing AI more widely, emphasising sustainability, and fostering hybrid and multi-cloud environments are all key components of the Data Centre Solutions market’s future. Other developments include the growing importance of Software-Defined Data Centres (SDDC), containerisation, research into quantum computing, and a persistent focus on disaster recovery, security, and resilience. Expansion of data centres worldwide, demountable infrastructure, automation of IT operations, Internet of Things integration, and a dedication to user-friendly interfaces and automated regulatory compliance are other noteworthy aspects of the changing scenery.
The Data Center Solutions Market is expected to grow from USD 338.8 billion in 2023 to USD 591.7 billion by 2028 at a Compound Annual Growth Rate (CAGR) of 11.8% during the forecast period, according to a new report by MarketsandMarkets™. The Data Center Solutions Market is fueled by the surging volume of data, accelerated adoption of cloud and edge computing, and the pervasive influence of technologies like AI and IoT. Opportunities arise from the demand for scalable and secure data management, the growth of hybrid and multi-cloud strategies, and the push towards sustainability. Additionally, factors such as 5G integration and heightened security needs contribute to a dynamic market with ample prospects for innovation and expansion.
Browse in-depth TOC on “Data Center Solutions Market”
225 – Tables 55 – Figures280 – Pages
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Scope of the Report
Report Metrics
Details
Market Size Available For Years
2018–2028
Base Year Considered
2023
Forecast Period
2023–2028
Forecast Units
Value (USD Million/Billion)
Segments Covered
Offering (Hardware, Software, Services), Tier Type, Data Center Type, Data Center Size, and Vertical
Regions Covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies Covered
AWS (US), Microsoft (US), Google (US), Equinix (US), Dell (US), Huawei (China), Digital Realty (US), NTT (Japan), KDDI (Japan), HPE (US), CyrusOne (US), China Telecom (China), Cyxtera Technologies (US), GDS Holdings (China), CoreSite (US), and others.
By offering, the hardware segment will hold the largest market size during the forecast period.
The hardware segment involves physical components that constitute a data center’s foundation, including servers, storage systems, networking equipment, and power and cooling infrastructure. Servers serve as the computational backbone, while storage systems house and manage data. Networking equipment facilitates communication between different components, and power and cooling solutions ensure efficient and reliable operation. Hardware offerings are characterized by continuous advancements in performance, energy efficiency, and scalability to meet the evolving demands of modern data centers. Data centers are increasingly adopting specialized hardware accelerators, such as GPUs for parallel processing and AI workloads, FPGAs (Field-Programmable Gate Arrays), and other accelerators designed to optimize performance for specific applications and tasks. The hardware segment has seen the emergence of modular and converged infrastructure solutions. These pre-integrated systems offer simplified deployment, scalability, and ease of management, providing a more streamlined approach to building and expanding data center infrastructure.
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By data center size, the mid-sized data center segment holds the second-largest market share during the forecast period.
Data centers considered mid-sized have an area ranging from 10,000 to 25,000 square feet. Both enterprises and cloud service providers use these types of data centers, and they are known for their ability to handle large amounts of computing power. Due to their operational costs and the need for energy efficiency, these data centers have tight constraints. To optimize the use of servers, mid-sized data centers have a high use of virtualized environments, and efficient allocation of data center resources is required. To facilitate high performance, efficient design, and easy deployment, these data centers are increasingly adopting data center transformation services. Organizations that have outgrown small data centers but do not require the extensive capacity of large data centers often opt for mid-sized facilities to meet their specific scaling requirements. Mid-sized data centers also offer a cost-effective solution for organizations seeking to expand their IT infrastructure without overspending. They have redundancy and high availability features, ensuring business continuity and minimizing the risk of downtime due to equipment failure or maintenance.
By region, Asia Pacific will grow at the highest CAGR during the forecast period.
The Data Center Solutions Market in the Asia Pacific (APAC) region is experiencing robust growth, driven by the rapid digitalization of economies, the proliferation of cloud services, and the increasing adoption of emerging technologies. Countries such as China, India, Japan, and Singapore are witnessing a surge in demand for data center infrastructure to support the expanding digital ecosystem. With the rise of e-commerce, IoT applications, and data-driven businesses, there is a pressing need for scalable and efficient data storage and processing facilities. The region’s data center market is also influenced by the deployment of 5G networks, fueling demand for edge computing and low-latency data processing.
Top Key Companies in Data Center Solutions Market:
Some of the key players operating in the Data Center Solutions Market are – AWS (US), Microsoft (US), Google (US), Equinix (US), Dell (US), Huawei (China), Digital Realty (US), NTT (Japan), KDDI (Japan), and HPE (US).
Recent Developments:
In December 2023, Equinix revealed its intentions to extend its backing for advanced liquid cooling technologies, including direct-to-chip solutions, to over 100 International Business Exchange (IBX) data centers across more than 45 cities globally. This initiative builds upon Equinix’s current provision that facilitates liquid-to-air cooling, incorporating in-rack heat exchangers in nearly all IBX facilities. The expansion aims to empower a broader spectrum of businesses to leverage high-performance cooling technologies suitable for robust, high-density hardware crucial for compute-intensive workloads such as Artificial Intelligence (AI).In November 2023, DXC Technology and AWS are expanding their collaboration to accelerate customers’ transition to modern, cloud-centric it. The partnership aims to facilitate the migration from aging data center facilities to agile, secure, and sustainable cloud solutions provided by AWS, driving down operating costs for DXC and its customers. Additionally, DXC plans to divest some of its current data centers to interested parties.In November 2023, Microsoft announced that it is increasing its presence in Canada by establishing several new data centers in Quebec. The company recently revealed its plan to invest $500 million in expanding its cloud computing and artificial intelligence infrastructure in Quebec over the next two years.In November 2023, Google announced the building of its Teros data center project in Uruguay. The company has officially submitted applications for the required environmental permits for the development.In October 2023, Telehouse initiated construction for a second data center at its TH3 Paris Magny campus in France. This development aligns with Telehouse’s strategic initiative to bolster European and national digital sovereignty. By enhancing hosting and connectivity capabilities at its existing European sites, the company aims to attract global Internet traffic to European grounds.In August 2023, Digital Realty introduced high-density colocation services on its global data center platform, PlatformDIGITAL. Featuring infrastructure configurations designed for high-performance computing (HPC), these services empower businesses to address challenges related to the rapid growth of unstructured data and leverage artificial intelligence (AI) with enhanced processing capabilities.In June 2023, Equinix revealed notable improvements to Equinix Fabric, including introducing virtual connections to cloud service providers at 25 and 50 gigabits per second (Gbps). These enhancements enable businesses to easily handle more extensive workloads, such as data-intensive AI training models or establishing scalable enterprise networks, by swiftly and seamlessly provisioning virtual connections to major cloud platforms.In June 2023, AWS is increasing its investment in Ohio data center operations, with plans to spend around $7.8 billion for expansion by 2030.In June 2023, NTT unveiled its most recent hyperscale data center campus, Chennai 2. Additionally, it introduced its subsea cable system, MIST, to the city. The Chennai 2 campus, situated in Ambattur and spanning 6 acres, represented a pioneering project with a planned total capacity of 34.8 MW for critical IT load across two data center buildings.In May 2023, Wipro announced that its FullStride Cloud Studio partnered with Google Cloud’s Rapid Migration Program (RaMP) to help clients fast-track their journey to the cloud and pursue a migration strategy anchored in business outcomes.In March 2023, NYIIX, operated by TELEHOUSE America (a KDDI Group company), launched a neutral Point of Presence (PoP) at Equinix, Inc., expanding Internet peering options in the New York Metropolitan Area. Equinix customers at their NY2 International Business Exchange (IBX) data center and connected facilities within the Secaucus campus, including NY4, 5, 6, and 7, can now access NYIIX peering services.In February 2023, Microsoft and SAP partnered to launch RISE with SAP on Microsoft’s hyperscale cloud data center region in Qatar. SAP customers in Qatar can now host RISE with SAP on Microsoft Azure, expanding the opportunities for building a cloud-first economy in Qatar, the GCC, and the MENA region.In January 2023, Google entered into a long-term lease agreement for a data center spanning approximately 381,000 square feet in Navi Mumbai, Idia. This strategic move is part of Google’s expansion of its cloud infrastructure in India, addressing the increasing demand in one of its key growth markets.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=232213604
Data Center Solutions Market Advantages:
Organisations may effectively increase or contract their computer capabilities in response to demand thanks to the scalable architecture that data centre solutions offer. Cost-effectiveness and appropriate resource utilisation are guaranteed by this scalability.High availability and dependability are guaranteed by the redundancy and failover measures incorporated into data centre technologies. This improves business continuity, reduces downtime, and protects against data loss.Advanced cooling technologies, effective power distribution, and hardware optimisations are all part of data centre solutions that prioritise energy saving. Lower power consumption and a smaller environmental effect result from this.Security features like encryption, access controls, and compliance adherence are given top priority in data centre solutions. These features assist companies in adhering to regulations and safeguard confidential information from unwanted access.The time required for resource provisioning and configuration is decreased by virtualization and automation, which allow for the flexible deployment of services and applications. Faster reaction to shifting company needs is made possible by this adaptability.Administrators have a unified picture of the data centre infrastructure thanks to centralised management tools. This makes it possible to efficiently manage resources, monitor them, and troubleshoot them from a single dashboard.Organisations can effortlessly combine cloud services with on-premises infrastructure thanks to data centre technologies that support hybrid and multi-cloud architectures. Because of its adaptability, a hybrid IT infrastructure can be created to meet unique company needs.Report Objectives
To define, describe, and forecast the global Data Center Solutions Market based on offerings, data center type, data center size, verticals, and regionTo provide detailed information about the major factors (drivers, opportunities, restraints, and challenges) influencing the growth of the Data Center Solutions MarketTo analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the Data Center Solutions MarketTo forecast the market size concerning five central regions—North America, Europe, Asia Pacific, the Middle East & Africa, and Latin AmericaTo analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall marketTo profile the key players of the Data Center Solutions Market and comprehensively analyze their market size and core competenciesTo track and analyze competitive developments in the global Data Center Solutions Market, such as product enhancements, product launches, acquisitions, partnerships, and collaborations.Browse Adjacent Markets: Data Center and Networking Market Research Reports & Consulting
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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.
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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.
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/
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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.
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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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