The artificial intelligence in cybersecurity market size is valued at USD 22.4 Billion in 2023 and is anticipated to be USD 60.6 Billion by 2028; growing at a CAGR of 21.9% from 2023 to 2028. Factors such as the growing adoption of IoT and increasing number of connected devices, and increasing vulnerability of Wi-Fi networks to security threats are driving the growth of the market during the forecast period.
Key players in the artificial intelligence in cybersecurity market include NVIDIA Corporation (US), Intel Corporation (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Microsoft (US), Palo Alto Networks Inc. (US), Trellix (US), CrowdStrike (US), NortonLifeLock (US), Cylance Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), Darktrace (UK), SparkCognition Inc. (US), Fortinet (US), Check Point Software Technologies, Ltd (US), High-Tech Bridge (Switzerland), Deep Instinct (US), SentinelOne (US), Feedzai (US), Vectra Networks (US) Zimperium (US), Argus Cyber Security (Israel), Nozomi Networks (US), BitSight Technologies (US), and Antivirus companies such as Kaspersky Lab (Russia), Bitdefender (Romania), and ESET (US).
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These companies have employed a variety of growth approaches, such as product launches and development, expansions, collaborations, and acquisitions, to compete in the artificial intelligence in cybersecurity market. Partnerships and acquisitions have been the key strategy of players from 2019 to 2022 for expanding their customer base and strengthening their product portfolio.
Intel enjoys a strong presence and has been effectively defending its position in the AI in cybersecurity market. The company has been dominating the market for microprocessors for several years now. Its dominant position ensures a large addressable market and provides increased scale and related benefits. This also provides the company with competitive advantages and allows it to effectively penetrate the adjacent markets. Intel’s competitive advantages include the combination of network of manufacturing, assembly, and test facilities with global architecture design teams. This network enables the company to have more direct control over its processes, quality control, product cost, production timing, performance, power consumption, and manufacturing yield. The acquisition of companies such as Saffron Technology, Cnvrg.io (US), SigOpt (US), and Habana Labs (Israel) has further improved its AI product portfolio. As a result, Intel launched a few major products catering to AI, ML, and DL (neural networking). Moreover, the partnership with AI software solution and service providers is expected to remain a vital growth strategy of the company in the coming years.
NVIDIA Corporation is among the world leaders in the visual computing business. The company has a well-established geographic footprint and mainly deals with major OEMs/ODMs across the world. The company continues to lead in the development of new products for the AI/DL market. NVIDIA makes substantial investments in R&D. This has resulted in its strong organic growth and robust market positioning in terms of hardware product development in the AI in cybersecurity market. The company uses its existing business channels, as part of its business strategy, to reach customers easily. NVIDIA has more than 40 offices worldwide, generating a major revenue from geographies such as Taiwan, China, the US, and Europe. Several of NVIDIA’s system partners, such as Alibaba Cloud, Baidu, Tencent, Dell EMC, Hewlett Packard Enterprise, IBM, and Supermicro, adopted the NVIDIA Tesla V100 GPU accelerators into their data centers and cloud-service infrastructure.
Xilinx operations focus on diversified end markets, such as automotive, data centers, aerospace & defense, and consumer electronics. The company’s diversified operations and revenue streams not only enable it to tap opportunities in new and existing markets but also shield it against demand fluctuations in a specific market or industry by dispersing its business risks. Xilinx is one of the largest FPGA suppliers in the world. The company has strong focus on R&D and has consistently increased its R&D spending in recent years. The company is currently relying on its machine learning inference solutions for the deployment of machine learning in cloud and edge devices. For this, the company is building collaborations and partnerships with various end users, especially data centers and communications service providers. Furthermore, to boost the conventional FPGA business, Xilinx focuses on the development of a new generation of FPGAs, with improved performance, density, system-level functionality, and integration, while minimizing the cost and power consumption. Moreover, the company mainly focuses on organic strategies such as new launches, expansion to grow and sustain in the competitive world.
Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Software, and Service), Deployment Type, Security Type, Technology (ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User and Geography - Global Forecast to 2028
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