USD 16.5 Billion
Artificial Intelligence In Security Market Size, Share, and Growth Analysis
Global Artificial Intelligence in Security Market By Technology (Machine Learning, Natural Language Processing), By Type (Network Security, Endpoint Security), By Application (Risk and Compliance Management, Data Loss Prevention), By Region - Industry Forecast 2025-2032
Report ID:
SQMIG45A2640 |
Region:
Global |
Published Date: July, 2025
Pages:
171
|Tables:
154
|Figures:
78
Format -
Artificial Intelligence In Security Market Insights
Global Artificial Intelligence in Security Market size was valued at USD 16.5 Billion in 2023 and is poised to grow from USD 20.56 Billion in 2024 to USD 119.44 Billion by 2032, growing at a CAGR of 24.60% during the forecast period (2025-2032).
Growing incidence of cyberattacks and high spending on improvement of cybersecurity around the world are projected to primarily promote the demand for artificial intelligence in security going forward. Increasing sophistication in cyberattacks and growing adoption of advanced digital technologies are also slated to create new opportunities in the future. Imposition of stringent data privacy and security mandates and emphasis on improving compliance for the same are anticipated to promote the adoption of artificial intelligence in security in the long run. Advancements in machine learning and artificial intelligence algorithms and technologies also play a vital role in global artificial intelligence in security market growth over the coming years.
On the contrary, complexity in integration, high costs of implementation, dearth of skilled professionals, and ethical concerns are slated to impede artificial intelligence in security market penetration across the study period and beyond.
How is AI-Driven Security Orchestration and Automation Creating New Business Scope?
Security teams face alert overload and resource constraints, prompting a shift toward AI-driven automation through SOAR (Security Orchestration, Automation, and Response) platforms. These systems use AI to analyze alerts, prioritize threats, and execute response playbooks automatically. Machine learning enables continuous tuning of rules and adaptive threat responses. This reduces response time, minimizes human error, and improves incident containment. Organizations can automate repetitive tasks like log correlation, user authentication, and endpoint isolation. As attack sophistication grows, AI-based orchestration becomes essential for fast, scalable defense. This trend is revolutionizing security operations centers (SOCs), transforming them into proactive, self-healing environments.
Market snapshot - (2025-2032)
Global Market Size
Largest Segment
Machine Learning (ML)
Fastest Growth
Natural Language Processing (NLP)
Growth Rate
24.60% CAGR
Global Artificial Intelligence in Security Market ($ Bn)
Country Share for North America Region (%)
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Artificial Intelligence In Security Market Segments Analysis
Global artificial intelligence in the security market is segmented by type, offering, technology, application, vertical, and region. Based on type, the market is segmented into network security, endpoint security, application security, and cloud security. Based on offering, the market is segmented into hardware, software, and services. Based on technology, the market is segmented into machine learning (ML), natural language processing (NLP), and context-aware computing. Based on application, the market is segmented into identity and access management, risk and compliance management, data loss prevention, unified threat management, fraud detection/anti-fraud, threat intelligence, and others. Based on vertical, the market is segmented into BFSI, retail, government & defense, manufacturing, enterprise, healthcare, automotive & transportation, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
Which Technology is Slated to be Used Extensively in Security Solutions?
Machine learning is projected to account for a substantial chunk of global artificial intelligence in security market share. Machine learning technology is essential in training AI models to identify threats and vulnerabilities in security systems. Leveraging machine learning to enhance threat detection, analyze large datasets, identify suspicious patterns, and automate multiple cybersecurity operations allows this segment to hold sway over others going forward.
The natural language processing (NLP) technology segment is projected to emerge as the fastest-growing segment as per this artificial intelligence in securitry industry analysis. Growing emphasis on sentient analysis, natural language inference, text summarization, and question-answering systems is projected to help this segment generate new opportunities in the future.
Which Type of Security Sees High Integration of Artificial Intelligence?
Network security is forecasted to spearhead global artificial intelligence in security market revenue generation potential in the future. Rising emphasis on improving network security owing to rising frequency of network-targeted cyberattacks. The increasing complexity of networks is also expected to promote the adoption of AI-powered network security solutions in the long run.
Meanwhile, the demand for endpoint security is forecasted to increase at an exceptional pace over the coming years. The rising number of cyberattacks targeting endpoint vulnerabilities and a growing number of endpoints are allowing this segment to provide a lucrative growth scope. Behavioral analytics and AI-based real-time authentication are expected to significantly improve endpoint security of organizations in the future.
Global Artificial Intelligence in Security Market By Technology
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Artificial Intelligence In Security Market Regional Insights
What Allows North America to Augment Global Adoption?
The presence of advanced cybersecurity infrastructure and high cybercrime rates are forecasted to help bolster the dominance of North America going forward. Robust investments in AI R&D and innovation are also helping cement the high share of this region on a global level. Government initiatives like CISA and large-scale enterprise adoption of AI-powered tools ensure sustained demand for artificial intelligence in security market solutions. The rising frequency of data breaches and increasing reliance on cloud services and IoT ecosystems are also making AI integration essential for security.
Artificial Intelligence in Security Market in United States
The United States holds sway over global artificial intelligence in security deployment backed by early adoption of AI, stringent regulatory standards, and a mature financial ecosystem. The presence of major tech firms and analytics providers is helping the country stay on top of artificial intelligence in security innovation. As digital transformation accelerates and cyber risks intensify, demand for AI-integrated, scalable artificial intelligence in security platforms continues to grow across the United States.
Artificial Intelligence in Security Market in Canada
Strong cybersecurity policy framework and AI research ecosystems are helping bolster the demand for artificial intelligence in security in Canada. Financial services, telecom, and healthcare sectors are emerging as leading adopters of AI-based security solutions in the future. Increasing cybercrime, digital transformation, and remote work trends are also expected to play a crucial role in driving up the demand for artificial intelligence in the security market across the study period.
Why is the Adoption of Artificial Intelligence in Security Rising Rapidly in Asia Pacific?
Growing incidence of cyberattacks in Asian countries coupled with rapid digitization makes Asia Pacific the fastest growing region for artificial intelligence in security providers through 2032. Governments are introducing national AI strategies and strengthening cybersecurity laws, which boost enterprise-level adoption. Increasing internet penetration and smartphone usage among people of Asia Pacific region is also increasing vulnerability to cyberattacks and threats. This surge in digital transformation and heightened security awareness propels Asia Pacific’s rapid growth in the AI in security market.
Artificial Intelligence in Security Market in South Korea
South Korean government’s “Digital New Deal” emphasizes AI integration in cyber defense, with initiatives led by the Ministry of Science and ICT. Presence of a robust digital infrastructure, escalating cyberattacks, and geopolitical risks are all making the country a highly opportune market for artificial intelligence in security providers in the future. Financial institutions, telecom organizations, and government bodies are leading the adoption of advanced AI-based security solutions.
Artificial Intelligence in Security Market in Japan
Modernization of industries, rise in cyber risk awareness, and government-led digital initiatives are forecasted to help support artificial intelligence in security adoption in the country. Japan’s aging workforce and talent shortages further drive automation through AI. The country is becoming a regional hub for advanced, context-aware, and predictive security technologies for banking, telecom, and smart citiy applications.
Should Artificial Intelligence in Security Companies Invest in Europe?
Surging investments in artificial intelligence R&D and the growing prevalence of sophisticated cyberattacks are helping artificial intelligence in security industry growth in Europe over the coming years. Emphasis on ethical AI implementation ensures secure and transparent implementation of AI-based security solutions. The launch of cross-border cybersecurity programs is also expected to create a new business scope for artificial intelligence in security market providers across the study period and beyond.
Artificial Intelligence in Security Market in Germany
The presence of a strong industrial base, strict cybersecurity laws, and emphasis on data protection are forecasted to govern AI adoption in security applications through 2032. GDPR compliance and increasing ransomware threats are driving up the preference for automated, real-time threat detection. Collaboration between tech firms and academic institutions is also enhancing the scope of AI-based security innovation in Germany.
Artificial Intelligence in Security Market in United Kingdom
Implementation of strong institutional cybersecurity programs and post-Brexit regulatory independence are helping govern artificial intelligence in security demand in the country. The National Cyber Security Centre (NCSC) is actively promoting the integration of AI for threat detection, risk scoring, and autonomous defense. With rising cybercrime and a thriving startup ecosystem, the country emphasizes the adoption of privacy-respecting and scalable AI security tools.
Artificial Intelligence in Security Market in France
Strong government backing, robust regulatory frameworks, and digital sovereignty initiatives are forecasted to augment artificial intelligence in security market adoption in France. French banks, utilities, and public sector institutions deploy AI to combat insider threats and ensure GDPR compliance. The country also invests in cybersecurity startups and ethical AI research, which is anticipated to create new business opportunities in the long run.
Global Artificial Intelligence in Security Market By Region
- Largest
- Fastest
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Artificial Intelligence In Security Market Dynamics
Artificial Intelligence in Security Market Drivers
Rise of Advanced Persistent Threats (APTs)
- Advanced Persistent Threats (APTs) consist of prolonged, targeted cyber intrusions that often go undetected by conventional security tools. Such threats are aimed at stealing intellectual property, disrupting operations, or conducting surveillance. Use of AI in security solutions helps improve APT defense by continuously monitoring network behavior, identifying subtle indicators of compromise, and correlating anomalies across systems. Growing APT risks from nation-state actors and cybercriminals are pushing enterprises to integrate artificial intelligence in security.
High Demand for Real-Time Incident Response
- Modern organizations and governments demand instantaneous threat detection and response to minimize business disruption and data loss. Manual threat detection and resolution processes are falling behind in a rapidly evolving threat landscape. AI provides rapid analysis, pattern recognition, and automated countermeasures. Tools like SOAR (Security Orchestration, Automation, and Response) platforms leverage AI to execute predefined playbooks, isolate threats, and alert teams immediately. All of these factors cement global artificial intelligence in the security market outlook going forward.
Artificial Intelligence in Security Market Restraints
Complexity and Lack of Standardization
- Integrating artificial intelligence-based security systems requires extensive customization to align with an organization’s specific risk landscape. The absence of unified standards across the security industry leads to fragmented solutions that may not integrate well with existing security stacks. Variability in data quality and architecture further complicates deployment and effectiveness. Without standardized frameworks for implementation, interoperability, and benchmarking, businesses face difficulties scaling AI in security across departments or locations.
Risk of False Positives and Negatives
- The success of AI-based security solutions is highly dependent on data quality and training. Inaccurate or biased datasets can cause systems to misclassify threats, leading to false positives that overwhelm analysts or false negatives that let real attacks slip through. Excessive false alerts can erode trust in AI-based security solutions and increase fatigue among security teams. This reliability gap poses a serious restraint, especially for industries where even minor breaches have critical consequences.
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Artificial Intelligence In Security Market Competitive Landscape
Creating artificial intelligence in security solutions that can easily be integrated with legacy systems and infrastructure should be the prime focus of all artificial intelligence in security providers. Collaborations, acquisitions, and mergers are expected to emerge as attractive strategies for artificial intelligence in security companies looking to expand their business scope. Developed countries with advanced technological infrastructure are more opportune markets for artificial intelligence in security market players in the long run.
- Abnormal Security: The 2018-founded startup leverages artificial intelligence to protect enterprises from advanced email threats such as phishing, business email compromise (BEC), and account takeovers. Its platform uses behavioral AI to model normal user behavior and detect anomalies in email communication patterns. The United States-bases startups platform dynamically adapts to evolving threats, offering precise, low-noise threat detection. The platform integrates seamlessly with Microsoft 365 and Google Workspace environments
- In August 2024, the startup announced that it had closed a USD 250 million Series D round. The finance raise was led by Wellington Management with participation from existing investors such as Menlo Ventures, Insight Partners, Greylock Partners, and the Falcon Fund.
Top Player’s Company Profiles
- Acalvio Technologies, Inc. (US)
- Amazon Web Services, Inc. (US)
- Darktrace (UK)
- Fortinet, Inc. (US)
- IBM Corporation (US)
- Intel Corporation (US)
- LexisNexis (US)
- Micron Technology, Inc. (US)
- Palo Alto Networks, Inc. (US)
- CrowdStrike Holdings, Inc. (US)
- SentinelOne, Inc. (US)
- SAS Institute Inc. (US)
- Splunk Inc. (US)
- Check Point Software Technologies Ltd. (Israel)
- Varonis Systems, Inc. (US)
- CyberArk Software Ltd. (Israel)
- Bitdefender LLC (US)
- Cyberbit Ltd. (Israel)
- Deep Instinct Ltd. (Israel)
- Tanium Inc. (US)
Recent Developments in Artificial Intelligence in Security Market
- In September 2024, a new program to help reduce the skill gap and train professionals in use of artificial intelligence for security was launched in India. The Indian Ministry of Electronics and Information Technology, Indian Computer Emergency Response Team, and SISA collaborated to launch this program.
- In December 2024, in a collaborative effort HGC, a leading telecommunications company and Cisco announced the launch of a new AI-driven cybersecurity solution in Hong Kong. Cisco Managed AI Firewall is aimed at enhancing the adoption of AI-driven cybersecurity solutions to set a new standard for security in the long run.
Artificial Intelligence In Security Key Market Trends
- Use of AI in Threat Intelligence and Predictive Security: Artificial intelligence is transforming threat intelligence by enabling predictive analytics that forecast attacks before they occur. Advanced AI models can identify emerging threats and map attacker behavior patterns by analyzing global threat feeds, dark web monitoring, and internal logs. This artificial intelligence in security market trend marks a shift toward anticipatory defense and marks a shift from reactive to intelligence-led cybersecurity powered by AI.
- Integration of AI with Zero Trust Architecture: Artificial intelligence in security companies should focus on opting for Zero Trust models, where no user or system is inherently trusted. Machine learning algorithms detect deviations from normal behavior, enabling dynamic policy enforcement. As remote work, BYOD, and cloud usage increase, Zero Trust supported by AI ensures a more granular and adaptive security framework. This artificial intelligence in the security industry trend is reshaping enterprise security strategies by combining identity-centric models with intelligent automation.
Artificial Intelligence In Security Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, growing sophistication of cyberattacks and rising investments in adoption of better security solutions are projected to bolster the demand for artificial intelligence in security over the coming years. However, complexity in integration and dearth of skilled professionals are estimated to impede artificial intelligence in security market growth in the long run. North America is forecasted to spearhead the adoption of artificial intelligence in security owing to the presence of a strong technological infrastructure and high incidence of cyberattacks. Use of explainable AI and predictive analytics is slated to present lucrative opportunities for artificial intelligence in security providers in the long run.
| Report Metric | Details |
|---|---|
| Market size value in Security | USD 16.5 Billion |
| Market size value in 2032 | USD 119.44 Billion |
| Growth Rate | 24.60% |
| Base year | 2024 |
| Forecast period | (2025-2032) |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
|
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Artificial Intelligence in Security Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Artificial Intelligence in Security Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Artificial Intelligence in Security Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence in Security Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Artificial Intelligence in Security Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Artificial Intelligence in Security Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
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