The Global Artificial Intelligence in Security Market is expected to grow with a CAGR of 34.9%, during the forecast period 2018-2024, the market growth is supported by various growth factors and major market determinants. The market research report is compiled by Report Ocean by conducting rigorous market study and include the analysis of the market based on segmenting the geography and market segmentation.
The market is expected to witness a surge in the next few years’ factors such as growing need of technologies like AI’ machine learning and deep learning to tackle the evolving threats and advanced persistent threats which remains undetected within the network which steal the data’ increasing number of security breaches and increasing BYOD trends has further pushed the growth of AI in security market during the forecast period.
With the increasing use of sophisticated techniques for cybercrimes’ there is a rising need for AI based techniques to counter the threats from malicious software bots. AI can be used to fight against various cyber threats including spear phishing’ watering hole attack’ webshell’ ransomware’ DDoS attacks’ and remote exploitation’ by identifying and preventing them from proliferating into the systems. AI based security systems can analyze even those threats which have not occurred in the past unlike traditional based security systems.
The market study was done on the basis of:
- Software Tools
- Log Manager and Analyzer
- Identity and Access Management (IAM)
- Security Type
- Network Security
- Endpoint Security
- Application Security
- Cloud Security
- Applications Type
- Pre-emptive Threat Intelligence
- Anomaly Detection
- Proactive Risk Assessment and Mitigation
- Verticals Type
- Telecom and IT
- Others (Government and Defense’ Automotive and Transportation’ Energy and Utilities)
- Geographically, the Global Artificial Intelligence in Security Market was sub-segmented into Asia-Pacific, Europe North America, and Rest of the World.
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Report Ocean compiled the market research report titled ‘Global Artificial Intelligence in Security Market’ by adopting various economic tools such as:
- Porter’s fiver force model
- PEST analysis
- Market Determinants
- Market Segmentation
- Company Profiling
- IBM Corporation
- Palo Alto Networks Inc.
- Sift Science
- Securonix’ ThreatMetrix and others
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To conduct a market study in-depth, Report Ocean adopted various market research tools, and following a traditional research methodology is one of them, data and other qualitative parameters were analyzed by adopting primary and secondary research methodology, which were explained in detail, as follows:
In primary research process, information was collected on primary basis by:
- Face to Face Interview
- Group Discussion
- Other Methods
Basic information details were collected to collect quantitative and qualitative data, based on different market parameters, the data was organized and analyzed from both demand and supply side of the market.
For secondary research, various authentic web-sources and research papers/white papers were considered to identify and collect information and market trends. The data collected from secondary sources help to calculate the pricing models, business models of various companies along with current trends, market sizing, and company initiatives. Along with these open-available sources, company also collect information from various paid databases that are extensive in terms of information in both qualitative and quantitative manner.
Research by other methods:
Report Ocean follows other research methodologies along with traditional methods to compile the 360-degree research study that is majorly customer-focused and involve a major company contribution with research team. The client specific research provides the market sizing forecast and analyzed the market strategies that is focused on client-specific requirements to analyze the market trends, and forecasted market developments. Company’s estimation methodology leverages the data triangulation model that cover the major market dynamics and all supporting pillars. The detailed description of research process includes data mining is an extensive step of research methodology. It helps to obtain the information through reliable sources. The data mining stage includes both primary and secondary information sources.
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