A prominent research firm, Cognizance Market Research added a cutting-edge industry report on the “AI in Cybersecurity Market”. The report studies the current and past growth trends and opportunities for the market to gain valuable insights during the forecast period from 2023 to 2032.
Global AI in Cybersecurity Market Analysis:
According to cognizance market research, the global AI in cybersecurity market was valued at US$22.40 billion in 2022 and is anticipated to reach US$134.25 billion by the end of 2032, with a CAGR of 22% from 2023 to 2032.
What is the Global AI in Cybersecurity Market?
The Global AI in Cybersecurity Market can be defined as a market that delivers solutions enhanced by incorporating artificial intelligence into cybersecurity measures for security risk identification and mitigation. Machine learning, deep computing, and natural language processing techniques are used to analyze the huge amount of data and stay ahead of new threats by predicting them and using automation to implement the security measures necessary to combat methodical cyberterrorism.
As cyber risks grow, such as ransomware, phishing, and advanced persistent threats (APTs), AI-based security systems can help companies and organizations mitigate risks and decrease response time. They provide security in real time for organizations that require the safety of their data, such as the banking sector, health, IT, and the government sector.
Importantly, the market is driven by the tendencies that outline the further development of digitalization, the constantly growing interest in cloud services, and the growth of rates of cybercriminal activities. Due to the digitization and automation of industries, the requirement of AI-included cybersecurity solutions necessary for protecting valuable information, increasing production effectiveness, and adhering to legal obligations are the main factors piloting the market. North America is identified as the biggest market for apheresis technique, while Europe and Asia-Pacific have also signaled high growth.
Global AI in Cybersecurity Market Outlook:
The rapidly growing AI in Cyber Security Market reflects clear evidence of increasing reliance on better AI to resolve emergent and evolving cyber threats like ransomware, data breaches, and advanced persistent threats (APTs) that have led to the increase in the number and severity of cyber-attacks and the demand for AI-driven cybersecurity solutions.
Technological factors, specifically machine learning and deep learning, are key drivers of the market. AI systems can process and analyze an enormous amount of information in real time, making them able to identify patterns and anomalies that traditional security systems would not. With the accelerating pace of data-generated activity within different organizations, this will become more pertinent than ever, making the need for AI solutions to protect that data and secure networks from potential attacks.
The adoption of cloud computing-connected IoT devices and continued digital transformation initiatives are among the key factors driving growth for AI in the cybersecurity market. Cloud environments, in particular, are subject to various threats, so AI-driven security systems are vital for protecting sensitive data and ensuring business continuity. The growing number of connected devices in various industries—including healthcare, automotive, and manufacturing—is also becoming the basis for cybersecurity complexity and, hence, demand for AI-driven protection.
In North America, the market will remain dominant owing to proper technological infrastructure, the presence of several cybersecurity firms, and an escalation of the cyber threats culture. Meanwhile, Asia-Pacific is expected to be very fast-growing, with China, India, and Japan investing considerably in AI technologies and cybersecurity to protect their critical infrastructure and advance digital innovation.
As AI technology matures, future trends in increasing AI-powered automation of security operations will drive efficiencies to enhance the economic viability of cybersecurity for organizations. Increasingly, companies will want solutions that deliver security and GDPR compliance, given the increasing pressure for regulations.
Segment Analysis:
The global AI in cybersecurity market is segmented based on the technology, deployment model, and end-user industry. Machine learning and deep learning remain the main technologies for identifying and preventing cyber threats by analyzing anomalies and patterns with large data sets. Other technologies such as computer vision and natural language processing are beginning to be used to enhance detection capabilities against threats regarding unstructured data surveillance. The segmentation includes cloud-based, on-premises, and hybrid solutions, as it is classified according to the deployment based on the flexibility that it gives an organization in making choices according to its security needs and data privacy concerns.
As end users, banking and financial services and insurance, healthcare, and government have become the most prominent adopters, mostly due to the imperative necessity for protecting critical data against cyber threats. Other areas rapidly adopting AI-involved solutions are IT and telecom, retail, and manufacturing as digital transformations put organizations through new cybersecurity issues. The demand for AI in the cybersecurity market stirs as it matures, predicted across various sectors, as all pockets in the industry require unique solutions based on the threats and challenges presented within that industry.
Geographical Analysis:
North America is leading the AI in the cybersecurity market because of major tech companies with full-scale infrastructure and high cyber risks. Especially during this time, heavy investments in AI-based cyber security solutions in the US happen because the data protection-relevant sectors are financial, health, and government sectors at best. The private and public sector support remains a tent in the region for its greatest market share.
Another aspect worthy of mention is how rapidly European countries are adopting artificial intelligence for cybersecurity, with most of the investment nowadays being targeted at securing financial institutions, healthcare systems, and critical infrastructure from countries like the UK, Germany, or France. For instance, the GDPR is regarded as a rigorous push by companies to adopt AI technologies for compliance and mitigating cyber dangers. When people see that AI has terrific value in securing delicate data, it becomes valuable for them in this part.
Today’s fastest-growing region in the AI cybersecurity market is the Asia Pacific, particularly in China, India, and Japan. The demand for AI solutions to secure manufacturing, healthcare, and telecommunications is significantly rising due to rapid digitalization, increased IoT growth, and growing concerns about cybersecurity. Countries and corporations are investing little in AI technological tools to counter changing cyber threats and deflections for securing critical infrastructures.
The report offers the revenue of the Global AI in Cybersecurity Market’s revenue for 2020-2032, considering 2020 to 2022 as a historical year, 2023 as the base year, and 2024 to 2032 as the forecast year. The report also provides the compound annual growth rate (CAGR) for the Global AI in Cybersecurity Market for the forecast period. The Global AI in Cybersecurity Market report provides insights and in-depth analysis into developments impacting enterprises and businesses on a regional and global level. The report covers the performance of Global AI in the Cybersecurity Market in terms of revenue contribution from several segments. It comprises a detailed analysis of key drivers, trends, restraints, and opportunities prompting revenue growth of Global AI in the Cybersecurity Market.
The report has been prepared after wide-ranging secondary and primary research. Secondary research included internet sources, numerical data from government organizations, trade associations, and websites. Analysts have also amalgamated bottom-up and top-down approaches to study numerous phenomena in the Global AI Cybersecurity Market. Secondary research involved a detailed analysis of significant players’ product portfolios. Literature reviews, press releases, annual reports, white papers, and relevant documents have also been studied to understand the Global AI in the Cybersecurity Market. Primary research involved a great extent of research efforts, wherein experts carried out telephonic and questioner-based interviews with industry experts and opinion-makers.
The report includes an executive summary and a growth pattern of different segments in the scope of the study. The Y-o-Y analysis with elaborate market insights has been provided in the report to comprehend the Y-o-Y trends in the Global AI Cybersecurity Market. Additionally, the report focuses on altering competitive dynamics in the global market. These indices serve as valued tools for present market players and companies interested in participating in the Global AI in Cybersecurity Market. The subsequent section of the Global AI in Cybersecurity Market report highlights the USPs, which include key industry events (product launch, research partnership, acquisition, etc.), technology advancements, pipeline analysis, prevalence data, and regulatory scenarios.
Global AI in Cybersecurity Market Competitive Landscape:
Several small and major firms are participating in the highly fragmented Global AI Cybersecurity Market. The new strategies formed by companies revolve around accuracy and precision. The following are some of the major market participants:
The report explores the competitive scenario of the Global AI in Cybersecurity Market. Major players in the Global AI Cybersecurity Market have been named and profiled for unique commercial attributes. Company overview (company description, product portfolio, geographic presence, employee strength, Key management, etc.), financials, SWOT analysis, recent developments, and key strategies are some of the features of companies profiled in the Global AI in Cybersecurity Market report.
Segmentation:
Global AI in Cybersecurity Market, By Technology:
Global AI in Cybersecurity Market, By Deployment Model:
Global AI in Cybersecurity Market, By End-use Industry:
Global AI in Cybersecurity Market, by Region:
Research Methodology: Aspects
Market research is a crucial tool for organizations aiming to navigate the dynamic landscape of customer preferences, business trends, and competitive landscapes. At Cognizance Market Research, acknowledging the importance of robust research methodologies is vital to delivering actionable insights to our clientele. The significance of such methodologies lies in their capability to offer clarity in complexity, guiding strategic management with realistic evidence rather than speculation. Our clientele seek insights that excel superficial observations, reaching deep into the details of consumer behaviours, market dynamics, and evolving opportunities. These insights serve as the basis upon which businesses craft tailored approaches, optimize product offerings, and gain a competitive edge in an ever-growing marketplace.
The frequency of information updates is a cornerstone of our commitment to providing timely, relevant, and accurate insights. Cognizance Market Research adheres to a rigorous schedule of data collection, analysis, and distribution to ensure that our reports reflect the most current market realities. This proactive approach enables our clients to stay ahead of the curve, capitalize on emerging trends, and mitigate risks associated with outdated information.
Our research process is characterized by meticulous attention to detail and methodological rigor. It begins with a comprehensive understanding of client objectives, industry dynamics, and research scope. Leveraging a combination of primary and secondary research methodologies, we gather data from diverse sources including surveys, interviews, industry reports, and proprietary databases. Rigorous data analysis techniques are then employed to derive meaningful insights, identify patterns, and uncover actionable recommendations. Throughout the process, we remain vigilant in upholding the highest standards of data integrity, ensuring that our findings are robust, reliable, and actionable.
Key phases involved in in our research process are mentioned below:
Understanding Clients’ Objectives:
Extensive Discussions and Consultations:
Industry and Market Segment Analysis:
Target Audience Understanding:
Identifying Challenges and Opportunities:
Grasping Specific Goals:
Data Collection:
Primary Research Process:
Secondary Research Process:
Data Analysis:
The data analysis phase serves as a critical juncture where raw data is transformed into actionable insights that inform strategic decision-making. Through the utilization of analytical methods such as statistical analysis and qualitative techniques like thematic coding, we uncover patterns, correlations, and trends within the data. By ensuring the integrity and validity of our findings, we strive to provide clients with accurate and reliable insights that accurately reflect the realities of the market landscape.
Transformation of Raw Data:
Utilization of Analytical Methods:
Statistical Analysis:
Qualitative Analysis Techniques:
Integrity and Validity Maintenance:
Data Validation:
The final phase of our research methodology is data validation, which is essential for ensuring the reliability and credibility of our findings. Validation involves scrutinizing the collected data to identify any inconsistencies, errors, or biases that may have crept in during the research process. We employ various validation techniques, including cross-referencing data from multiple sources, conducting validity checks on survey instruments, and seeking feedback from independent experts or peer reviewers. Additionally, we leverage internal quality assurance protocols to verify the accuracy and integrity of our analysis. By subjecting our findings to rigorous validation procedures, we instill confidence in our clients that the insights they receive are robust, reliable, and trustworthy.
Importance of Data Validation:
Scrutiny of Collected Data:
Validation Techniques:
Internal Quality Assurance Protocols:
Report Scope:
Attribute
Description
Market Size
US$ 134.25 Billion (2032)
Compound Annual Growth Rate (CAGR)
22%
Base Year
2023
Forecast Period
2024-2032
Forecast Units
Value (US$ Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Geographies Covered
North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Countries Covered
U.S., Canada, Germany, U.K., France, Spain, Italy, Rest of Europe, Japan, China, India, Australia & New Zealand, South Korea, Rest of Asia Pacific, Brazil, Mexico, Rest of Latin America, GCC, South Africa, Rest of Middle East & Africa
Key Companies Profiled
Tetra Pak, SIG Comnibloc Group, Elopak, Evergreen Packaging, Greatview Group Holding Limited, Reynolds Group Holding Limited, IPI Srl, Weyerhaeuser Company, Nippon Paper Industries Co. Ltd., Coesia Group, Uflex Ltd, Lami packaging Co, Ltd.
It was Valued at US$ 22.40 Billion in 2023.
It is projected to reach more than US$ 134.25 Billion by 2032.
It is anticipated to be 22% from 2024 to 2032.
Trend: Advancement in adopting machine learning and artificial intelligence algorithms for threat detection and response.
Driver: The increasing number and sophistication of attacks have made it essential for organizations to have AI-based security.
Opportunities: Emerging and expanding domains such as IoT, healthcare, and autonomous vehicles provide opportunities for AI-based security solutions.
Challenges: Finding ways to make AI systems undeniably reliable and exceptionally accurate while minimizing false positives and keeping up with the fast-changing cyber threat landscape.
IBM Corporation, Microsoft Corporation, Palo Alto Networks, Cisco System Inc., Darktrace, Broadcom Inc., FireEye, ThreatMetrix Inc., Sift Science, CrowdStrike, Trellix, Acalvio Technologies, Intel, NVIDIA, Amazon Web Service.
US$ 4600.00
US$ 6500.00
US$ 8500.00
We can customize every report – free of charge – including purchasing stand-alone sections or country-level reports
We help clients to procure the report or sections of the report at their budgeted price. Kindly click on the below to avail
Cognizance market research is continuously guiding customers around the globe towards strategies for transformational growth. Today, businesses have to innovate more than ever before, not just to survive, but to succeed in the future
© 2023 All rights Reserved. Cognizance Market Research