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Global Cloud Access Security Broker Market to reach USD XX billion by the end of 2030.

Global Cloud Access Security Broker Market Size study & Forecast, by Component (Solution, Services), by Enterprise Size (Large Enterprise, SMEs), by Application Areas (Governance, Risk, and Compliance, Data Security, Application Security, Others), by Industry Vertical (IT and Telecom, BFSI, Healthcare, Others) and Regional Analysis, 2023-2030

Product Code: ICTBC-96668948
Publish Date: 10-01-2024
Page: 200

Global Cloud Access Security Broker Market is valued at approximately USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. Cloud Access Security Broker (CASB) is a security solution that acts as an intermediary between an organization’s on-premises infrastructure and cloud services. It assists organizations extend their security policies and controls to the cloud and ensures that sensitive data remains secure as it moves between the organization’s network and various cloud applications. The key factors driving the market growth are the growing adoption of cloud-based applications, rising demand for remote working and automation trends, and growing concerns about data security, privacy, and compliance that are anticipated to support the market growth.

Additionally, the growing adoption of cloud-based applications has significantly contributed to the growth of the Cloud Access Security Broker (CASB) Market. As organizations migrate their data and applications to the cloud, there is an increased need for robust data protection measures. CASBs offer encryption capabilities, ensuring that sensitive data remains secure both in transit and at rest. Thus, the rising adoption of cloud-based applications is anticipated to support market growth. According to Statista, in 2020, the global cloud applications market was valued at USD 133.6 billion, and it is anticipated to reach USD 168.6 billion by 2025. Moreover, the rising awareness of the risks associated with cloud services, and the growing adoption of the Pay-As-You-Go model are anticipated to create lucrative opportunities for the market over the projected period. However, the lack of awareness and security concerns stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Cloud Access Security Broker Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the growing concerns about data security and privacy, growth of remote work and the prevalence of BYOD policies, and the widespread adoption of cloud services among businesses in the region. Whereas, the Asia Pacific is expected to grow with the highest CAGR over the forecast period, owing to factors such as the increase in cloud adoption across enterprises, rising cybersecurity concerns, growing collaborations between CASB vendors and other cybersecurity solution providers, and increasing trend of remote and mobile workforces.

Major market player included in this report are:
Netskope
Palo Alto Networks Inc
Lookout Inc
Proofpoint Inc
Microsoft Corporation
Broadcom Inc.
Cisco Systems, Inc.
Zscaler, Inc.
iboss Cybersecurity
Musarubra US LLC

Recent Developments in the Market:
Ø In February 2022, Cato Networks introduced Cato CASB, the Cloud Access Security Broker, as part of its SASE platform, delivering actionable value in less than 60 minutes. The Cloud Application Catalog complements this offering, making Cato the fastest and most user-friendly solution for handling the risk associated with cloud application data. By launching Cato CASB, the company extends the essential advantages of a genuine SASE platform to effectively address and mitigate risks associated with cloud applications.

Global Cloud Access Security Broker Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Enterprise Size, Application Areas, Industry Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
Solution
Services

By Enterprise Size:
Large Enterprise
SMEs

By Application Areas:
Governance, Risk, and Compliance
Data Security
Application Security
Others

By Industry Vertical:
IT and Telecom
BFSI
Healthcare
Government and Public Sector
Retail
Others

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Cloud Access Security Broker Market, by Region, 2020-2030 (USD Billion)
1.2.2. Cloud Access Security Broker Market, by Component, 2020-2030 (USD Billion)
1.2.3. Cloud Access Security Broker Market, by Enterprise Size, 2020-2030 (USD Billion)
1.2.4. Cloud Access Security Broker Market, by Application Areas, 2020-2030 (USD Billion)
1.2.5. Cloud Access Security Broker Market, by Industry Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Cloud Access Security Broker Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Cloud Access Security Broker Market Dynamics
3.1. Cloud Access Security Broker Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Growing adoption of cloud-based applications
3.1.1.2. Rising demand for remote working and automation trends
3.1.1.3. Growing concerns about data security, privacy, and compliance
3.1.2. Market Challenges
3.1.2.1. Lack of awareness and security concerns
3.1.3. Market Opportunities
3.1.3.1. Rising awareness of the risks associated with cloud services
3.1.3.2. Growing adoption of Pay-As-You-Go Model
Chapter 4. Global Cloud Access Security Broker Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Cloud Access Security Broker Market, by Component
5.1. Market Snapshot
5.2. Global Cloud Access Security Broker Market by Component, Performance – Potential Analysis
5.3. Global Cloud Access Security Broker Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Cloud Access Security Broker Market, Sub Segment Analysis
5.4.1. Solution
5.4.2. Services
Chapter 6. Global Cloud Access Security Broker Market, by Enterprise Size
6.1. Market Snapshot
6.2. Global Cloud Access Security Broker Market by Enterprise Size, Performance – Potential Analysis
6.3. Global Cloud Access Security Broker Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
6.4. Cloud Access Security Broker Market, Sub Segment Analysis
6.4.1. Large Enterprise
6.4.2. SMEs
Chapter 7. Global Cloud Access Security Broker Market, by Application Areas
7.1. Market Snapshot
7.2. Global Cloud Access Security Broker Market by Application Areas, Performance – Potential Analysis
7.3. Global Cloud Access Security Broker Market Estimates & Forecasts by Application Areas 2020-2030 (USD Billion)
7.4. Cloud Access Security Broker Market, Sub Segment Analysis
7.4.1. Governance, Risk, and Compliance
7.4.2. Data Security
7.4.3. Application Security
7.4.4. Others
Chapter 8. Global Cloud Access Security Broker Market, by Industry Vertical
8.1. Market Snapshot
8.2. Global Cloud Access Security Broker Market by Industry Vertical, Performance – Potential Analysis
8.3. Global Cloud Access Security Broker Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
8.4. Cloud Access Security Broker Market, Sub Segment Analysis
8.4.1. IT and Telecom
8.4.2. BFSI
8.4.3. Healthcare
8.4.4. Government and Public Sector
8.4.5. Retail
8.4.6. Others
Chapter 9. Global Cloud Access Security Broker Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Cloud Access Security Broker Market, Regional Market Snapshot
9.4. North America Cloud Access Security Broker Market
9.4.1. U.S. Cloud Access Security Broker Market
9.4.1.1. Component breakdown estimates & forecasts, 2020-2030
9.4.1.2. Enterprise Size breakdown estimates & forecasts, 2020-2030
9.4.1.3. Application Areas breakdown estimates & forecasts, 2020-2030
9.4.1.4. Industry Vertical breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Cloud Access Security Broker Market
9.5. Europe Cloud Access Security Broker Market Snapshot
9.5.1. U.K. Cloud Access Security Broker Market
9.5.2. Germany Cloud Access Security Broker Market
9.5.3. France Cloud Access Security Broker Market
9.5.4. Spain Cloud Access Security Broker Market
9.5.5. Italy Cloud Access Security Broker Market
9.5.6. Rest of Europe Cloud Access Security Broker Market
9.6. Asia-Pacific Cloud Access Security Broker Market Snapshot
9.6.1. China Cloud Access Security Broker Market
9.6.2. India Cloud Access Security Broker Market
9.6.3. Japan Cloud Access Security Broker Market
9.6.4. Australia Cloud Access Security Broker Market
9.6.5. South Korea Cloud Access Security Broker Market
9.6.6. Rest of Asia Pacific Cloud Access Security Broker Market
9.7. Latin America Cloud Access Security Broker Market Snapshot
9.7.1. Brazil Cloud Access Security Broker Market
9.7.2. Mexico Cloud Access Security Broker Market
9.8. Middle East & Africa Cloud Access Security Broker Market
9.8.1. Saudi Arabia Cloud Access Security Broker Market
9.8.2. South Africa Cloud Access Security Broker Market
9.8.3. Rest of Middle East & Africa Cloud Access Security Broker Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Netskope
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Recent Developments
10.3.2. Palo Alto Networks Inc
10.3.3. Lookout Inc
10.3.4. Proofpoint Inc
10.3.5. Microsoft Corporation
10.3.6. Broadcom Inc.
10.3.7. Cisco Systems, Inc.
10.3.8. Zscaler, Inc.
10.3.9. iboss Cybersecurity
10.3.10. Musarubra US LLC
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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