Artificial intelligence (AI) in cybersecurity refers to the application of advanced machine learning algorithms and techniques to enhance the detection, prevention and response capabilities of cybersecurity systems. AI-powered cybersecurity solutions leverage large datasets, behavioral analytics and predictive analytics to identify patterns, anomalies and potential threats in real-time, allowing organizations to proactively defend against cyber-attacks. AI in cybersecurity is utilized by businesses, governments and individuals to safeguard sensitive data, intellectual property and IT (Information Technology) infrastructure from a wide array of cyber threats, including malware, phishing, ransomware and advanced persistent threats (APTs).
The AI in cybersecurity market consists of sales, by entities (organizations, sole traders or partnerships), of AI in cybersecurity solutions, including hardware, software and services that are used for cyber threat detection and analysis, behavioral analytics, anomaly detection, predictive analytics, automated threat response, vulnerability management and others.
The global AI in cybersecurity market was valued at $6,410.0 million in 2018 which grew till 2023 at a compound annual growth rate (CAGR) of more than 25.0%.
Rising Adoption Of Cloud-Based Solutions
The rising adoption of cloud-based solutions fueled growth in the AI in cybersecurity market during the historic period. Cloud-based solutions refer to software, platforms or infrastructure services that are hosted and accessed over the Internet, rather than being installed on local computers or servers. The adoption of cloud-based solutions is rising due to their scalability, flexibility, accessibility and cost-effectiveness for businesses across various industries. Cloud-based solutions are increasingly utilized in AI for cybersecurity to enhance scalability, accessibility and computational power in detecting and mitigating cyber threats. For instance, in December 2023, according to Eurostat, a Luxembourg-based statistical office of the European Union (EU), 45.2% of businesses within the EU acquired cloud computing services in 2023, primarily for tasks such as hosting email systems, storing electronic files and utilizing office software. This marked an increase of 4.2% from 2021. Additionally, the adoption of cloud computing among medium-sized enterprises rose to 59% in 2023, compared to 53% in 2021. Therefore, the rising adoption of cloud-based solutions drove growth in the AI in cybersecurity market.
Increasing Development Of AI-Driven Cybersecurity Platforms To Automate Complex Security Processes
Companies in the AI in cybersecurity market are increasing their focus on developing AI-driven cybersecurity platforms for automating complex security processes. For instance, in January 2024, Check Point Software Technologies Ltd., an Israel-based software company, launched Infinity AI Copilot, an AI-driven cybersecurity platform that leverages generative AI (GenAI) to transform cybersecurity operations. This innovative tool aims to enhance the efficiency and accuracy of cyber security tasks by automating complex security processes, reducing administrative work time by up to 90% and providing proactive solutions to security threats.
The global AI in cybersecurity market is concentrated, with a few large players operating in the market. The top ten competitors in the market made up to 40.8% of the total market in 2022.
AI In Cybersecurity Global Market Opportunities And Strategies To 2033 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI in cybersecurity market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for AI in cybersecurity? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in cybersecurity market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider AI in cybersecurity market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by offering, by technology, by deployment mode, by application and by end-users.
- Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario- The report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the AI in cybersecurity market.
- Global Market Size And Growth- Global historic (2018-2023) and forecast (2023-2028, 2033F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional And Country Analysis- Historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison by region and country.
- Market Segmentation- Contains the market values (2018-2023) (2023-2028, 2033F) and analysis for each segment by offering, by technology, by deployment mode, by application and by end-users in the market. Historic (2018-2023) and forecast (2023-2028) and (2028-2033) market values and growth and market share comparison by region market.
- Regional Market Size and Growth- Regional market size (2023), historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions- Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities And Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations- This section includes recommendations for AI in cybersecurity providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
- 1) By Offering: Hardware; Software; Services.
- 2) By Application: Antivirus or Antimalware; Data Loss Prevention; Fraud Detection or Anti-Fraud; Identity and Access Management; Intrusion Detection or Prevention System; Risk and Compliance Management; Security and Vulnerability Management; Other Applications.
- 3) By End User: Banking; Financial Services and Insurance (BFSI); Enterprise; Retail; Government and Defense; Manufacturing; Healthcare; Automotive and Transportation; Other End Users.
- 4) By Deployment Mode: Cloud; On-Premise.
- 5) By Technology: Machine Learning; Natural Language Processing (NLP); Context Aware Computing.
- Companies Mentioned: Kohler Co; TOTO Ltd; LIXIL Group Corporation; Masco Corporation; Globe Union Industrial Corp
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; Italy; Spain; UK; Russia.
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI in cybersecurity indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.