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AI in Cloud Security Market Research Report

Published: Oct 06, 2025
ID: 4374399
101 Pages
AI in
Cloud Security

Global AI in Cloud Security Market Roadmap to 2033

Global AI in Cloud Security Market is segmented by Application (Threat Detection, Compliance, Access Control, API Protection, Posture Management), Type (Cloud Threat Detection AI, UEBA For Cloud, CNAPP And CWPP AI, API Security AI, Automated Remediation), and Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

Report ID:
HTF4374399
Published:
CAGR:
14.80%
Base Year:
2025
Market Size (2025):
$8.1 Billion
Forecast (2033):
$24.4 Billion

Pricing

Industry Overview


Global AI in Cloud Security Market Size, Forecast, Segment Analysis, By Type Cloud Threat Detection AI, UEBA For Cloud, CNAPP And CWPP AI, API Security AI, Automated Remediation By Application Threat Detection, Compliance, Access Control, API Protection, Posture Management, By Region North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA (2025 to 2033)
AI in cloud security applies machine learning to detect anomalies, prioritize alerts, and automate response across identities, workloads, networks, and APIs. Platforms integrate posture management, runtime protection, and data security to defend multi-cloud environments. With explainable analytics and playbooks, SOC teams reduce dwell time, meet regulatory requirements, and embed security earlier in DevOps pipelines while protecting modern applications at cloud scale.

AI in Cloud Security Industry Annual Growth Rate 2025-2033

The research study AI in Cloud Security Market provides readers with details on strategic planning and tactical business decisions that influence and stabilize growth prognosis in AI in Cloud Security Market. A few disruptive trends, however, will have opposing and strong influences on the development of the Global Biometric Lockers market and the distribution across players. To provide further guidance on why specific trends in AI in Cloud Security market would have a high impact and precisely why these trends can be factored into the market trajectory and the strategic planning of industry players.


Market Dynamics Highlighted


Market Driver

The AI in Cloud Security Market is experiencing significant growth due to various factors.

  • Rising Cloud Attack Surface
  • API Exploits Increase Breach Risk
  • Compliance Mandates Intensify
  • Remote Work Expands Access Threats
  • SOCs Pursue Automation To Scale

Market Trend


The AI in Cloud Security market is growing rapidly due to various factors.

  • CNAPP Platforms Consolidate Tools
  • LLMs Assist Triage And Hunting
  • Agentless Scanning Accelerates Coverage
  • Deception And Sandbox AI Evolve
  • Shared-Responsibility Guidance Matures

Opportunity


The AI in Cloud Security has several opportunities, particularly in developing countries where industrialization is growing.

  • Managed Detection And Response
  • Developer-First Security Automation
  • Fine-Grained Identity Controls
  • API Discovery And Protection
  • Secure AI Model Pipelines

Challenge


The market for fluid power systems faces several obstacles despite its promising growth possibilities.

  • Alert Fatigue And False Positives
  • Talent Gaps In Cloud Security
  • Tool Sprawl And Integration Costs
  • Multi-Cloud Complexity
  • Data Residency Constraints

 

AI in Cloud Security Market Segment Highlighted


Segmentation by Type



  • Cloud Threat Detection AI
  • UEBA For Cloud
  • CNAPP And CWPP AI
  • API Security AI
  • Automated Remediation
AI in Cloud Security Market growth scenario by Cloud Threat Detection AI, UEBA For Cloud, CNAPP And CWPP AI, API Security AI, Automated Remediation

Segmentation by Application


  • Threat Detection
  • Compliance
  • Access Control
  • API Protection
  • Posture Management

AI in Cloud Security Market trend highlights by Threat Detection, Compliance, Access Control, API Protection, Posture Management

Key Players


Several key players in the AI in Cloud Security market is strategically focusing on expanding their operations in developing regions to capture a larger market share, particularly as the year-on-year growth rate for the market stands at 13.40%. The companies featured in this profile were selected based on insights from primary experts, evaluating their market penetration, product offerings, and geographical reach. By targeting emerging markets, these companies aim to leverage new opportunities, enhance their competitive advantage, and drive revenue growth. This approach not only aligns with their overall business objectives but also positions them to respond effectively to the evolving demands of consumers in these regions.
  • Microsoft (US)
  • Google (US)
  • AWS (US)
  • Palo Alto Networks (US)
  • CrowdStrike (US)
  • Zscaler (US)
  • Cisco (US)
  • Check Point (Israel)
  • Fortinet (US)
  • Cloudflare (US)
  • Akamai (US)
  • Netskope (US)
  • Okta (US)
  • Splunk (US)
  • SentinelOne (US)
AI in Cloud Security Market analysis for Microsoft (US), Google (US), AWS (US), Palo Alto Networks (US), CrowdStrike (US), Zscaler (US), Cisco (US), Check Point (Israel), Fortinet (US), Cloudflare (US), Akamai (US), Netskope (US), Okta (US), Splunk (US), SentinelOne (US)


For the complete companies list, please ask for sample pages.
Need More Details on Market Players and Competitors?

Market Entropy

  • May 2024 – IBM and CrowdStrike expanded AI-powered cloud security solutions with automated threat detection and response for enterprise cloud environments
Merger & Acquisition
  • May
Patent Analysis
  • Patents include AI-driven threat detection
Investment and Funding Scenario
  • Funding flows into AI-based cloud security platforms

Key Highlights


•    The AI in Cloud Security is growing at a CAGR of 14.80% during the forecasted period of 2025 to 2033
•    Year on Year growth for the market is 13.40%
•    North America dominated the market share of 8.1 Billion in 2025
•    Based on type, the market is bifurcated into Cloud Threat Detection AI, UEBA For Cloud, CNAPP And CWPP AI, API Security AI, Automated Remediation segment, which dominated the market share during the forecasted period
•    Based on application, the market is segmented into Application Threat Detection, Compliance, Access Control, API Protection, Posture Management is the fastest-growing segment
•    Global Import Export in terms of K Tons, K Units, and Metric Tons will be provided if Applicable based on industry best practice

Market Estimation & Data Collection Process


Problem Definition: Clarify research objectives and client needs & identify key questions and market scope.
Data Collection:
Primary Research: Conduct interviews, surveys, and focus groups.
Secondary Research: Analyzed industry reports, market publications, and financial records.

Data Analysis:

Quantitative Analysis: Use statistical tools to identify trends and quantify market size.
Qualitative Analysis: Interpret non-numerical data to understand market drivers and consumer behavior.
Market Segmentation:
Divide the market into distinct segments based on shared characteristics.
Validation and Triangulation:
Cross-verify findings from multiple sources to ensure accuracy and reliability.
Reporting and Recommendations:
Present insights and strategic recommendations in a tailored, actionable report.
Continuous Feedback Loop:
Engage with clients to refine research and ensure alignment with their goals.

Regional Insight


The AI in Cloud Security varies widely by region, reflecting diverse economic conditions and consumer preferences. In North America, the focus is on convenience and premium products, driven by high disposable incomes and a strong e-commerce sector. Europe’s market is fragmented, with Western countries emphasizing luxury and organic goods, while Eastern Europe sees rapid growth. Asia-Pacific is a fast-growing region with high demand for high-tech and affordable products, driven by urbanization and rising middle-class incomes. Latin America prioritizes affordability amidst economic fluctuations, with Brazil and Mexico leading in market growth. In the Middle East and Africa, market trends are influenced by cultural preferences, with luxury goods prominent in the Gulf States and gradual growth in sub-Saharan Africa. Global trends like sustainability and digital transformation are impacting all regions.


The North America dominant region currently dominates the market share, fueled by increasing consumption, population growth, and sustained economic progress which collectively enhance market demand. Conversely, the Asia-Pacific is growing rapidly, driven by significant infrastructure investments, industrial expansion, and rising consumer demand.

  • North America
  • LATAM
  • West Europe
  • Central & Eastern Europe
  • Northern Europe
  • Southern Europe
  • East Asia
  • Southeast Asia
  • South Asia
  • Central Asia
  • Oceania
  • MEA
Asia-Pacific
North America
Fastest Growing Region
Dominating Region

The Top-Down and Bottom-Up Approaches

 
The top-down approach begins with a broad theory or hypothesis and breaks it down into specific components for testing. This structured, deductive process involves developing a theory, creating hypotheses, collecting and analyzing data, and drawing conclusions. It is particularly useful when there is substantial theoretical knowledge, but it can be rigid and may overlook new phenomena. 
Conversely, the bottom-up approach starts with specific data or observations, from which broader generalizations and theories are developed. This inductive process involves collecting detailed data, analyzing it for patterns, developing hypotheses, formulating theories, and validating them with additional data. While this approach is flexible and encourages the discovery of new phenomena, it can be time-consuming and less structured. 

Regulatory Framework


The healthcare sector is overseen by various regulatory bodies that ensure the safety, quality, and efficacy of health services and products. In the United States, the U.S. Department of Health and Human Services (HHS) plays a crucial role in protecting public health and providing essential human services. Within HHS, the Food and Drug Administration (FDA) regulates food, drugs, and medical devices, ensuring they meet safety and efficacy standards. The Centers for Disease Control and Prevention (CDC) focus on disease control and prevention, conducting research, and providing health information to protect public health.
In the United Kingdom, the General Medical Council (GMC) regulates doctors, ensuring they adhere to professional standards. Other important bodies include the General Pharmaceutical Council (GPhC), which oversees pharmacists, and the Nursing and Midwifery Council (NMC), which regulates nurses and midwives. These organizations work to maintain high standards of care and protect patients.
Internationally, the European Medicines Agency (EMA) regulates medicines within the European Union, while the World Health Organization (WHO) provides global leadership on public health issues. Each of these regulatory bodies plays a vital role in ensuring that health care systems operate effectively and safely, ultimately safeguarding public health across different regions.

Report Infographics

Report Features Details
Base Year 2025
Based Year Market Size (2025) 8.1 Billion
Historical Period 2020 to 2025
CAGR (2025 to 2033) 14.80%
Forecast Period 2025 to 2033
Forecasted Period Market Size ( 2033) 24.4 Billion
Scope of the Report Cloud Threat Detection AI, UEBA For Cloud, CNAPP And CWPP AI, API Security AI, Automated Remediation, Threat Detection, Compliance, Access Control, API Protection, Posture Management
Regions Covered North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA
Companies Covered Microsoft (US), Google (US), AWS (US), Palo Alto Networks (US), CrowdStrike (US), Zscaler (US), Cisco (US), Check Point (Israel), Fortinet (US), Cloudflare (US), Akamai (US), Netskope (US), Okta (US), Splunk (US), SentinelOne (US)
Customization Scope 15% Free Customization
Delivery Format PDF and Excel through Email

AI in Cloud Security - Table of Contents

Chapter 1: Market Preface
1.1 Global AI in Cloud Security Market Landscape
1.2 Scope of the Study
1.3 Relevant Findings & Stakeholder Advantages
Chapter 2: Strategic Overview
2.1 Global AI in Cloud Security Market Outlook
2.2 Total Addressable Market versus Serviceable Market
2.3 Market Rivalry Projection
Chapter 3: Global AI in Cloud Security Market Business Environment & Changing Dynamics
3.1 Growth Drivers
3.1.1 Rising Cloud Attack Surface
3.1.2 API Exploits Increase Breach Risk
3.1.3 Compliance Mandates Intensify
3.1.4 Remote Work Expands Access Threats
3.1.5 SOCs Pursue Automation To Scale
3.2 Available Opportunities
3.2.1 Managed Detection And Response
3.2.2 Developer-First Security Automation
3.2.3 Fine-Grained Identity Controls
3.2.4 API Discovery And Protection
3.2.5 Secure AI Model Pipelines
3.3 Influencing Trends
3.3.1 CNAPP Platforms Consolidate Tools
3.3.2 LLMs Assist Triage And Hunting
3.3.3 Agentless Scanning Accelerates Coverage
3.3.4 Deception And Sandbox AI Evolve
3.3.5 Shared-Responsibility Guidance Matures
3.4 Challenges
3.4.1 Alert Fatigue And False Positives
3.4.2 Talent Gaps In Cloud Security
3.4.3 Tool Sprawl And Integration Costs
3.4.4 Multi-Cloud Complexity
3.4.5 Data Residency Constraints
3.5 Regional Dynamics
Chapter 4: Global AI in Cloud Security Industry Factors Assessment
4.1 Current Scenario
4.2 PEST Analysis
4.3 Business Environment - PORTER 5-Forces Analysis
4.3.1 Supplier Leverage
4.3.2 Bargaining Power of Buyers
4.3.3 Threat of Substitutes
4.3.4 Threat from New Entrant
4.3.5 Market Competition Level
4.4 Roadmap of AI in Cloud Security Market
4.5 Impact of Macro-Economic Factors
4.6 Market Entry Strategies
4.7 Political and Regulatory Landscape
4.8 Supply Chain Analysis
4.9 Impact of Tariff War
Chapter 5: AI in Cloud Security : Competition Benchmarking & Performance Evaluation
5.1 Global AI in Cloud Security Market Concentration Ratio
5.1.1 CR4
5.1.2 CR8 and HH Index
5.1.2 % Market Share - Top 3
5.1.3 Market Holding by Top 5
5.2 Market Position of Manufacturers by AI in Cloud Security Revenue 2025
5.3 Global AI in Cloud Security Sales Volume by Manufacturers (2025)
5.4 BCG Matrix
5.5 Market Entropy
5.6 Strategic Alliances and Partnerships
5.7 Merger & Acquisition Activities
5.8 Innovation and R&D Investment
5.9 Distribution Channel Analysis
5.10 Customer Loyalty Assessment
5.11 Brand Strength Evaluation
Chapter 6: Global AI in Cloud Security Market: Company Profiles
6.1 Microsoft (US)
6.1.1 Microsoft (US) Company Overview
6.1.2 Microsoft (US) Product/Service Portfolio & Specifications
6.1.3 Microsoft (US) Key Financial Metrics
6.1.4 Microsoft (US) SWOT Analysis
6.1.5 Microsoft (US) Development Activities
6.2 Google (US)
6.3 AWS (US)
6.4 Palo Alto Networks (US)
6.5 Crowd Strike (US)
6.6 Zscaler (US)
6.7 Cisco (US)
6.8 Check Point (Israel)
6.9 Fortinet (US)
6.10 Cloudflare (US)
6.11 Akamai (US)
6.12 Netskope (US)
6.13 Okta (US)
6.14 Splunk (US)
6.15 Sentinel One (US)
Chapter 7: Global AI in Cloud Security by Type & Application (2020-2033)
7.1 Global AI in Cloud Security Market Revenue Analysis (USD Million) by Type (2020-2025)
7.1.1 Cloud Threat Detection AI
7.1.2 UEBA For Cloud
7.1.3 CNAPP And CWPP AI
7.1.4 API Security AI
7.1.5 Automated Remediation
7.2 Global AI in Cloud Security Market Revenue Analysis (USD Million) by Application (2020-2025)
7.2.1 Threat Detection
7.2.2 Compliance
7.2.3 Access Control
7.2.4 API Protection
7.2.5 Posture Management
7.3 Global AI in Cloud Security Market Revenue Analysis (USD Million) by Type (2025-2033)
7.4 Global AI in Cloud Security Market Revenue Analysis (USD Million) by Application (2025-2033)
Chapter 8: North America AI in Cloud Security Market Breakdown by Country, Type & Application
8.1 North America AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2020-2025]
8.1.1 United States
8.1.2 Canada
8.1.3 Mexico
8.2 North America AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2020-2025]
8.2.1 Cloud Threat Detection AI
8.2.2 UEBA For Cloud
8.2.3 CNAPP And CWPP AI
8.2.4 API Security AI
8.2.5 Automated Remediation
8.3 North America AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2020-2025]
8.3.1 Threat Detection
8.3.2 Compliance
8.3.3 Access Control
8.3.4 API Protection
8.3.5 Posture Management
8.4 North America AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2026-2033]
8.5 North America AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2026-2033]
8.6 North America AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2026-2033]
Chapter 9: Europe AI in Cloud Security Market Breakdown by Country, Type & Application
9.1 Europe AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2020-2025]
9.1.1 Germany
9.1.2 UK
9.1.3 France
9.1.4 Italy
9.1.5 Spain
9.1.6 Russia
9.1.7 Rest of Europe
9.2 Europe AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2020-2025]
9.2.1 Cloud Threat Detection AI
9.2.2 UEBA For Cloud
9.2.3 CNAPP And CWPP AI
9.2.4 API Security AI
9.2.5 Automated Remediation
9.3 Europe AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2020-2025]
9.3.1 Threat Detection
9.3.2 Compliance
9.3.3 Access Control
9.3.4 API Protection
9.3.5 Posture Management
9.4 Europe AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2026-2033]
9.5 Europe AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2026-2033]
9.6 Europe AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2026-2033]
Chapter 10: Asia Pacific AI in Cloud Security Market Breakdown by Country, Type & Application
10.1 Asia Pacific AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2020-2025]
10.1.1 China
10.1.2 Japan
10.1.3 India
10.1.4 South Korea
10.1.5 Australia
10.1.6 Southeast Asia
10.1.7 Rest of Asia Pacific
10.2 Asia Pacific AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2020-2025]
10.2.1 Cloud Threat Detection AI
10.2.2 UEBA For Cloud
10.2.3 CNAPP And CWPP AI
10.2.4 API Security AI
10.2.5 Automated Remediation
10.3 Asia Pacific AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2020-2025]
10.3.1 Threat Detection
10.3.2 Compliance
10.3.3 Access Control
10.3.4 API Protection
10.3.5 Posture Management
10.4 Asia Pacific AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2026-2033]
10.5 Asia Pacific AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2026-2033]
10.6 Asia Pacific AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2026-2033]
Chapter 11: Latin America AI in Cloud Security Market Breakdown by Country, Type & Application
11.1 Latin America AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2020-2025]
11.1.1 Brazil
11.1.2 Argentina
11.1.3 Chile
11.1.4 Rest of Latin America
11.2 Latin America AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2020-2025]
11.2.1 Cloud Threat Detection AI
11.2.2 UEBA For Cloud
11.2.3 CNAPP And CWPP AI
11.2.4 API Security AI
11.2.5 Automated Remediation
11.3 Latin America AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2020-2025]
11.3.1 Threat Detection
11.3.2 Compliance
11.3.3 Access Control
11.3.4 API Protection
11.3.5 Posture Management
11.4 Latin America AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2026-2033]
11.5 Latin America AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2026-2033]
11.6 Latin America AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2026-2033]
Chapter 12: Middle East & Africa AI in Cloud Security Market Breakdown by Country, Type & Application
12.1 Middle East & Africa AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2020-2025]
12.1.1 Saudi Arabia
12.1.2 UAE
12.1.3 South Africa
12.1.4 Egypt
12.1.5 Rest of Middle East & Africa
12.2 Middle East & Africa AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2020-2025]
12.2.1 Cloud Threat Detection AI
12.2.2 UEBA For Cloud
12.2.3 CNAPP And CWPP AI
12.2.4 API Security AI
12.2.5 Automated Remediation
12.3 Middle East & Africa AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2020-2025]
12.3.1 Threat Detection
12.3.2 Compliance
12.3.3 Access Control
12.3.4 API Protection
12.3.5 Posture Management
12.4 Middle East & Africa AI in Cloud Security Market by Country (USD Million) & Sales Volume (Units) [2026-2033]
12.5 Middle East & Africa AI in Cloud Security Market by Type (USD Million) & Sales Volume (Units) [2026-2033]
12.6 Middle East & Africa AI in Cloud Security Market by Application (USD Million) & Sales Volume (Units) [2026-2033]
Chapter 13: Research Finding and Conclusion
13.1 Research Finding
13.2 Conclusion
13.3 Analyst Recommendation

Frequently Asked Questions (FAQ):

The Compact Track Loaders market is projected to grow at a CAGR of 6.8% from 2025 to 2030, driven by increasing demand in construction and agricultural sectors.

North America currently leads the market with approximately 45% market share, followed by Europe at 28% and Asia-Pacific at 22%. The remaining regions account for 5% of the global market.

Key growth drivers include increasing construction activities, rising demand for versatile equipment in agriculture, technological advancements in track loader design, and growing preference for compact equipment in urban construction projects.