Artificial Intelligence
Global Generative Design Market (2021 to 2026) – Growth, Trends, COVID-19 Impact and Forecasts
Dublin, July 27, 2021 (GLOBE NEWSWIRE) — The “Generative Design Market – Growth, Trends, COVID-19 Impact, and Forecasts (2021 – 2026)” report has been added to ResearchAndMarkets.com’s offering.
The Generative Design Market is expected to register a CAGR of greater than 15% during the forecast period (2021 – 2026). The upcoming trend of designing toolset with machine learning capabilities contributes to the growth of the market studied. Significant investments made during 2019, aimed at empowering designers to reduce the number of errors, thereby saving considerable time are expected to produce results in the future.
Owing to the growing demand for advanced manufacturing with complex designs, and the need to reduce the size while improving the performance of automotive compels automotive manufacturers to increase their R&D investments and adopt generative designing.
Companies such as Airbus, Black & Decker, Under Armour, and other massive corporations embrace generative design as a trend molding the future of the engineering industry. It enables engineers to hand the reins off to their CAD software to naturally find the best solutions to a given set of constraints. It augments the engineer’s imagination.
Generative design is in an initial stage of development, which means that early users may come across specific challenges. For instance, precisely defining a design problem in computable terms, which generative design software has to solve, will include a steep learning curve. Engineers inexperienced with revealing the design problem as a set of parameters may end up with loosely defined structural restraints or loads, which will ultimately result in a failed design.
There are over 30,000 parts in an average car and creating all these pieces, then putting them together requires an incredibly complex supply chain and manufacturing capabilities. However, General Motors and the San Francisco-based software company Autodesk have a plan to upend how cars are designed, reducing the number of car parts that go into each car, while making cars both lighter and stronger.
Another point to consider with the generative design is that efficient designs cannot consistently be efficiently manufactured. For instance, in a Renishaw case study, engineers topologically optimized a suspension bell-crank. They didn’t, however, take into account the manufacturability of the optimized part. This resulted in a design that demanded a lot of supports to be printed, whereas a good practice is to design parts with as few supports needed as possible. Such instances are anticipated to lay a negative impact on the market.
Hpowever, generative design is being used to help address the risks related to COVID-19. For instance, Digital Blue Foam is developing a tool to help address the risks associated with the use and occupancy of interior spaces due to COVID-19. Covid Space Planner analyses factors such as total occupancy and proximity, airflow and ventilation, and the duration of activity in the space. Based on these factors, the tool applies Digital Blue Foam’s generative design capabilities to recommend spatial planning strategies, such as the location of entry points, work areas, furniture placement, and retrofits, to mitigate the risk.
Key Market Trends
Automotive To Hold Significant Share
- The growing trend of lightweight vehicle product has generated demand for generative design technology. In 2019, Volkswagen Group unveiled a vintage VW Microbus, which is retrofitted with several reconceptualized components produced by generative design technology. VW is promoting this vehicle to highlight technologies they believe would be significant to the future of automotive design and manufacturing, particularly concerning electric vehicle production. Autodesk partnered with VW’s Innovation and Engineering Center, California (IECC) on this project to maximize its strength while minimizing its weight. The generative design was deployed to produce lighter-weight parts by reducing mass and material use while maintaining high-performance standards and engineering constraints.
- Also, in January 2020, Electric vehicle company Arcimoto Inc announced that it is working with XponentialWorks and ParaMatters to design and additively manufacture lightweight components for its Fun Utility Vehicle (FUV). Deploying ParaMatters’ AI-powered generative design software, several elements are being redesigned in order to generate alternative parts that carry much of the same performance characteristics but at a lighter weight.
- Weight reduction has become a critical concern for electric vehicle efficiency as the less an automobile weighs, the less energy is required to propel down the road. More efficient energy consumption equates to more excellent range per charge, which is one of the most important considerations for consumers when evaluating electric vehicles.
- According to Autodesk, General Motors used generative design earlier in 2019, in a proof-of-concept project to develop a lightweight seat bracket prototype for its electric cars of the future. with such demand for lightweight parts in automobile, the demand for generative design is anticipated to increase significantly.
Europe to Witness Significant Growth Rate
- The European automotive sector has risen to a significant position in the global industry. It has achieved record sales, and as a significant employer and a source of considerable grantmaking, it is an integral part of European society.
- With the presence of several global automotive OEMs, Europe has the broad-scale implementation of 3D printing technology for design formulation and R&D applications in the automotive industry. Top automotive leaders, such as Mercedes, Audi, BMW, Jaguar, Land Rover, Volkswagen, and many others, have produced a potential space for 3D technology and printers in the European market. BMW Group has been deploying 3D printing technology over the past 25 years for designing various auto parts, and in 2018, it printed approximately 200,000 3D components, which was 42% higher as compared to the previous years.
- In April 2019, AUDI AG, a German automaker, has implemented polymer-based 3D printing technology for its production line at the Bollinger Hofe plant, Germany. Such instances of adoption are high, owing to the enhanced capabilities of manufacturers and lessened dependency on the supply chain for critical components that may result in a breakdown. According to Sculpteo, a 3D printing company, the highest priorities for Europeans using 3D printing are stimulating product development and offering customized products and limited series.
- Moreover, the region is witnessing growth in the sales of electric vehicles. Electric vehicle sales are rising in Europe as diesel vehicle sales continue a downward trend. Nearly 200,000 all-electric vehicles were sold in European Union from January to the end of September 2019, with 73,000 of those sold in the third quarter compared to just 32,000 in the same period the previous year. The increase in BEV registrations was most noticeable in Scandinavian countries such as Denmark, which saw a quadrupling of BEV sales, and Sweden and Finland, which saw a tripling followed by Poland, Belgium, and Greece. The further modifications in the electric vehicles, such as increasing the battery time, reducing the weight of the vehicle, would demand generative design software.
- Apart from the automotive sector, the region is witnessing demand from the manufacturing industry. The increasing demand for additive manufacturing and 3D printing in the region is anticipated to augment the generative design market.
- To help industrial manufacturers improve the skills of their workforce, the French government has entrusted AIF with establishing a reference system of additive manufacturing and training skills across the nation. Within this context, Cetim, in partnership with Cetim-Certec, its associated center, has already begun to develop a full training program dedicated to additive manufacturing, which covers the entire value chain.
- Further, the significant outbreak of the COVID-19 in the region, affecting more than 120,000 people in the region, according to Worldometers as of June 2020, has significantly driven the market for 3D printing in the region. With the increase in demand for 3D printing, especially in the healthcare sector for manufacturing of the ventilators, the need for the generative design has been witnessing growth.
Competitive Landscape
The market for Generative Design appears to be moderately fragmented. The presence of several companies, including Altair Engineering Inc. and ANSYS Inc., makes the competitive environment quite intense. Factors such as the growing demand from the automotive industry and the availability of trial or free version of the generative design will provide considerable growth opportunities to the generative design manufacturers. The major companies covered in this report are Autodesk Inc., Dassault Systemes SE, and Desktop Metal Inc.
- April 2020- Autodesk Inc. announced to acquire a minority stake in Aurigo Software, a Bengaluru-based venture that provides cloud-based software to plan, build, and maintain capital assets and infrastructure projects. The merger would be able to provide infrastructure project owners with single end-to-end technology platform for design, procurement, and operations of infrastructure.
- August 2020 – Architecture firm Antonio Citterio Patricia Viel has launched ACPVLab, which is a research and development unit that will focus on using generative design to develop bespoke interiors. ACPVLab has developed a “handcrafted” computer script that will allow architects and interior designers to explore thousands of different layout permutations instantly.
- May 2020 – Australian property intelligence platform Archistar, which combines architectural design with artificial intelligence to inform decision-making in property, has closed a USD 6 million Series A funding round led by AirTree to accelerate its international growth and expand its product and engineering team.
Reasons to Purchase this report:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
Key Topics Covered:
1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Growing demand for Advanced Technologies to Drive Product Innovation and Production Efficiency
4.3 Market Restraints
4.3.1 Complexity in Using Generative Design Software
4.4 Porters Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
4.5 Industry Stakeholder Analysis
4.6 Impact of COVID-19 on the Industry Ecosystem
5 MARKET SEGMENTATION
5.1 Deployment
5.1.1 On-premise
5.1.2 Cloud
5.2 End User Vertical
5.2.1 Automotive
5.2.2 Aerospace and Defense
5.2.3 Architecture and Construction
5.2.4 Industrial Manufacturing
5.2.5 Other End User Verticals
5.3 Geography
5.3.1 North America
5.3.2 Europe
5.3.3 Asia Pacific
5.3.4 Rest of the World
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Altair Engineering Inc.
6.1.2 Bentley Systems, Inc.
6.1.3 Autodesk Inc.
6.1.4 ANSYS inc.
6.1.5 Desktop Metal Inc.
6.1.6 Dassault Systemes SE
6.1.7 MSC Software Corporation (Hexagon AB)
6.1.8 nTopology, Inc.
6.1.9 Paramatters
6.1.10 Diabatix
6.1.11 Caracol AM
7 INVESTMENT ANALYSIS
8 FUTURE OF THE MARKET
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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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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
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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.
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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