The report "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 2026", is projected to reach USD 38.2 billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3%. Major drivers for the market’s growth are growing adoption of IoT and increasing number of connected devices, rising instances of cyber threat, growing concerns of data protection, and increasing vulnerability of Wi-Fi networks to security threats. Furthermore, underlying opportunities for the AI in cybersecurity market include growing need for cloud-based security solutions among SMEs, and increased use of social media for business functions. Major restraints for the market are inability of AI to stop zero-day and advanced threats, and rise in insider cyber threats. Limited number of cybersecurity and AI professionals, and lack of interoperability with existing information systems pose major challenges to the AI in cybersecurity market.
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Cloud deployment type is expected to grow at a higher rate during the forecast period. Several businesses have already moved a part of their operations to the cloud, which has led security vendors to develop cloud-based solutions as the data to be protected is on the cloud. Migrating to the cloud has benefits such as enhanced flexibility, control, and scalability. Cloud deployment significantly reduces the capital investment that is required to implement cybersecurity solutions; this is among the major reasons for the increased demand for cloud-based cybersecurity from most enterprises.
Of all the types of end users, automotive and transportation to hold the largest market size of the AI in cybersecurity market during the forecast period. In the automotive industry, Big Data poses a significant problem with connected car becoming more of a gadget than a purely physical product, constantly synced and updated. It now produces huge amounts of data. Combining machine learning with Big Data analytics presents an opportunity to make sense of the huge volumes of valuable data collected from vehicles, servers, and smart mobility services. Using machine learning, patterns of “normal” behavior can serve as baselines to identify anomalies from cyber threats and policy violations to vehicle and driver irregular behaviors.
North America is among the major contributors to the AI in cybersecurity market, and the US accounted for the largest share of the market in North America in 2018. The global AI in cybersecurity market is dominated by North America as the region is an early adopter of AI. North America is an early adopter of innovative technologies as banks, government agencies, and financial institutes in this region face ever-increasing challenges related to cyber threats. Therefore, advanced technologies are implemented to manage the cyber security landscape. Moreover, several cybersecurity vendors are based in this region, thereby contributing to the growth of the AI in cybersecurity market in North America.
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), Darktrace (UK), Cylance Inc. (US), Vectra AI, Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), SparkCognition Inc. (US), Palo Alto Networks Inc. (US), and Symantec Corporation (US) are a few major players in the AI in cybersecurity market
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