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The artificial intelligence in security market size is forecast to increase by USD 25.47 billion, at a CAGR of 34.73% between 2023 and 2028. The artificial intelligence (AI) market in security is experiencing rapid growth due to several key factors. Firstly, the increasing use of mobile and other connected devices has led to a surge in potential attack surfaces for cybercriminals. Secondly, the number of cybercrimes and technology penetration continues to rise, necessitating advanced security solutions. Lastly, the cloud computing ecosystem is under constant threat from malware attacks, which are becoming more sophisticated and difficult to detect. AI technologies, such as machine learning and deep learning, are increasingly being adopted to address these challenges by providing real-time threat detection, predictive analysis, and automated response capabilities. These solutions enable organizations to stay ahead of emerging threats and protect their digital assets more effectively.
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AI in security plays a pivotal role in safeguarding against cyber attacks across various domains like network security, application security, and cloud security. Whether managed on premises or through cloud-based products, organizations, including government and defense sectors, leverage AI for real-time threat protection and smart data utilization. The professional implementation of AI enhances digital transformation initiatives, adapting to automation trends while countering cyber dangers such as phishing websites and malicious threats. Government support is crucial in combatting political rivalry and monetary gain driven by radical religious organizations seeking reputational harm. As AI evolves, it continues to redefine cloud solutions and challenges traditional business models by offering proactive cybersecurity measures against emerging threats in an increasingly interconnected world.
The rapid increase in the use of mobile and other connected devices is one of the key drivers supporting market growth. With the advent of AI, machine learning, and high-end data networks, the sales volume of connected devices, including routers, tablets, and smartwatches, is increasing. IoT devices have a safety system that is vulnerable to cyberattacks.
Moreover, IoT devices are not designed to pre-detect or prevent threats, such as hacking. Thus, these devices could be prime targets for hackers to obtain usernames and passwords and access other confidential information. AI risk management plays a critical role in securing information on IoT devices. Moreover, when implemented on IoT devices, AI-based protection will help users get a predetermined notification regarding threats. Such benefits of using AI will drive the market.
Increasing demand for cloud-based applications is one of the key market trends fueling the market. Cloud-based services are being used by enterprises for various applications, including authentication, video management, biometric data storage, and big data computing. With the increased mobility of the workforce, some firms have introduced cloud-based services for various business processes such as customer relationship management (CRM), payroll, and corporate communication to ensure remote data access.
Moreover, governments are implementing stringent regulations, such as the payment card industry data security standard (PCI DSS) and the Health Insurance Portability and Accountability Act (HIPAA), that require cloud providers to ensure the security of data in banking and healthcare firms. Such initiatives will fuel the market during the forecast period.
Major Challenge
Technical difficulties in developing technologies are one of the factors challenging the market. Machine learning and deep learning techniques are applied in the field of AI and require high processing power because of the huge number of calculations that need to be performed in a short period. Organizations are generating huge volumes of structured and unstructured data because of the advent of technology in machine learning and pattern recognition fields and the growth of the information and communications technology (ICT) industry.
However, machine learning algorithms automatically react to events based on their data. Thus, developers are often unable to explain the output of these algorithms. The industry faces several development challenges. One such challenge is that companies cannot collaborate to solve an individual or isolated issue. These factors result in a lack of customer trust. Such factors may hamper the market in focus during the forecast period.
The market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
Broadcom Inc. - The company offers solutions for artificial intelligence in security which eliminates time-consuming research tasks and provides curated analysis of risks, reducing the amount of time security analysts.
The market research and growth report also includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The on-premise segments is estimated to witness significant growth during the forecast period.
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The on-premise segments accounted for USD 2.75 billion in 2018 and showed a gradual increase during the forecast period. On-premises artificial intelligence-based security solutions are majorly developed and used by large enterprises that have a global presence to gain more control and ownership over their security and the data generated and stored within the application. Organizations apply artificial intelligence and machine learning (ML) technologies to extract and analyze massive data sets that contain sensitive information. Hence, such organizations prefer to operate through on-premises deployment rather than in the cloud. This, in turn, will have a positive impact on the market during the forecast period.
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North America is estimated to contribute 32% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The AI in security market in North America is expected to record a steady growth rate during the forecast period. The AI in security market in North America dominated the market with a major demand arising from the US, Canada, and Mexico, which are expected to have major end-users in industries such as retail, BFSI, manufacturing, and healthcare. With the increase in technological advances, there has been a rise in cyberattacks in end-user industries. This is leading to an increase in the adoption of AI-based security solutions by industries. The increase in the number of connected devices and growth in the IoT device market has led to the generation of massive amounts of security-related data. The adoption of AI-based security solutions has been increased to protect such data. Such factors are fueling the growth of the market in the region.
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD Billion " for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
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In automotive and transportation, the integration of AI-powered systems enhances cybersecurity posture against malicious activities such as breaches in connected enterprises. Proactive threat mitigation relies on robust threat detection capabilities to safeguard healthcare security data including electronic health records, medical imaging data, and wearable device data stored in cloud-based services. Real-time threat protection and real-time security solutions bolster defenses against phishing websites, malicious browser ads, and crypto mining threats, critical in the banking sector supported by government backing. Ransomware incidents and business data breaches prompt investments in cybersecurity goods and services, integrating hardware and software for endpoint security both on cloud and on premise. AI-enabled fraud detection and behavioural biometrics enhance secure user authentication, while AI-driven threat intelligence automates incident response and compliance management. Quantum-resistant encryption fortifies defenses against cyber threats targeting sensitive data across large-scale enterprises and government organizations.
Market Scope |
|
Report Coverage |
Details |
Page number |
144 |
Base year |
2023 |
Historic period |
2018 - 2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 34.73% |
Market growth 2024-2028 |
USD 25.47 billion |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
25.9 |
Regional analysis |
North America, Europe, APAC, Middle East and Africa, and South America |
Performing market contribution |
North America at 32% |
Key countries |
US, China, UK, Germany, and Japan |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
Key companies profiled |
Acalvio Technologies Inc., Advanced Micro Devices Inc., BlackBerry Ltd., Broadcom Inc., Cisco Systems Inc., Darktrace Holdings Ltd., Hewlett Packard Enterprise Co., Intel Corp., International Business Machines Corp., Micron Technology Inc., NVIDIA Corp., Oracle Corp., Palo Alto Networks Inc., RELX Plc, Samsung Electronics Co. Ltd., SAP SE, SAS Institute Inc., Securonix Inc., SparkCognition Inc., and Thomson Reuters Corp. |
Market dynamics |
Parent market analysis, Market forecasting growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period |
Customization purview |
If our market report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Deployment
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Opportunity/Restraints
10 Competitive Landscape
11 Competitive Analysis
12 Appendix
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