The bimodal identity management solutions market size is projected to be valued at US$ 1186.9 million in 2023 and is expected to rise to US$ 8140.3 million by 2033. Bimodal identity management solution sales are anticipated to expand at a significant CAGR of 21.2% during the forecast period.
Traditional enterprise identity architectures are used in bimodal identity management solutions, which add a security layer to the existing system. To protect a company's information system, bimodal identity management solutions are used.
Bimodal identity management solutions primarily employ two types of security checks such as internal and external credentials. Internal credentials include pre-existing architecture such as passwords and biometrics, while external credentials include social media account validation and email account validation.
The company increases its security levels and allows only refined access to the data, by integrating internal and external credentials, reducing the possibility of unauthorized access.
Attributes | Details |
---|---|
Bimodal Identity Management Solutions Market Estimated Size (2023) | US$ 1186.9 million |
Bimodal Identity Management Solutions Market CAGR (2023 to 2033) | 21.2% |
Bimodal Identity Management Solutions Market Forecasted Size (2033) | US$ 8140.3 million |
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The global demand for bimodal identity management solutions is projected to increase at a CAGR of 21.2% during the forecast period between 2023 and 2033, reaching a total of US$ 8140.3 million in 2033, according to a report from Future Market Insights (FMI). From 2018 to 2022, sales witnessed significant growth, registering a CAGR of 19.1%.
The increasing need for authentication and the rise in security concerns in organizations are the key factors driving the growth of bimodal identity management solutions. There is a growing demand for bimodal identity management solutions for purposes such as data security, confidential data protection, and proper authentication.
The advancement of technology has increased the likelihood of data being hacked and poses a threat to security systems, fueling demand for bimodal identity management solutions. Additionally, the market is witnessing a key trend that leads to the development of security products like the integration of identity management systems with artificial intelligence.
Increasing Demand for Proper Authentication to Boost Market Growth
The necessity for proper authentication checks, as well as increased security concerns within an organization, drives the demand for bimodal identity management solutions. Also, keeping data safe and secure is becoming a crucial concern in organizations these days, so ensuring secrecy and proper data management is driving the demand for bimodal identity management solutions.
Advanced identity management systems integrated with artificial intelligence are key trends that are catering to the expansion of new security-related products these days. Other factors that contribute to the bimodal identity management product expansion include data security and access to information by the appropriate candidate. In addition, the emerging utility of the bimodal identity management solution in professional and personal life is driving market growth.
People are becoming aware of advanced ways to hack security systems as technological trends change, so the increasing safety issue of high-profile data is a key driver for market growth. Furthermore, the increasing reliance on web applications and automated systems increases the possibility of cyber-attacks, so the need for an effective solution to evade such attacks is growing notably.
Scarcity of Experienced Workers to Impede Market Growth
The main challenge that organizations face in correctly deploying bimodal identity management solutions is a dearth of domain expertise in their workforce. Furthermore, data privacy concerns may limit the market's growth to some extent during the projected timeline.
The healthcare and life sciences sector holds a significant share of 18.2% in the bimodal identity management solutions market. As organizations within this sector deal with sensitive patient data and adhere to strict regulatory requirements, ensuring secure and compliant access to healthcare systems and applications is crucial.
Bimodal identity management solutions offer healthcare and life science organizations the ability to effectively manage and protect user identities, control access to patient records and confidential information, and monitor user activity for compliance purposes. Further, these solutions enable healthcare providers, pharmaceutical companies, research institutions, and other healthcare-related organizations to enhance data security, streamline user access management processes, and improve overall operational efficiency.
The Cloud Segment to Remain High in Demand
On-premise refers to software and data that are installed and runs directly from the source media. In other words, the software and data are kept on the server where they were originally installed. Further, the advantage of on-premise deployment is that all updates about changes in system files are done manually by an administrator or build automation tool, making it easy to manage because no third-party involvement is required.
Cloud computing and its application in BIM solutions is a new emerging trend in the industry. The primary goal of implementing cloud technology is to remotely store data, allowing users to access it via various devices such as laptops, smartphones, and tablets.
Cloud computing provides several advantages, including scalability, cost-effectiveness, and flexibility, which are expected to drive the market during the forecast period. Thus, by deployment type, the cloud segment is expected to hold a 55% market share for the bimodal identity management solutions market in the forecast period from 2023 to 2033.
Large Enterprises to Hold 65.5% Stake in the Global Market
Large organizations face unique challenges in managing user identities, access privileges, and security across multiple systems and applications with their extensive workforce and complex IT environments. Additionally, Bimodal identity management solutions provide these enterprises with comprehensive identity and access management capabilities, including user provisioning, single sign-on, multi-factor authentication, and privileged access management.
By implementing bimodal identity management solutions, large enterprises can streamline user access processes, enhance security measures, and improve overall operational efficiency. These solutions enable organizations to centrally manage user identities, ensure compliance with regulatory requirements, and mitigate the risks associated with unauthorized access and data breaches.
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Increasing Reliance on Computerized Systems Creating Opportunities for Bimodal Identity Management Solutions Manufacturers
North America is expected to have a significant market share in the bimodal identity management solutions market. Because of the increasing reliance on computerized systems in countries such as Canada and the USA, the market for ensuring individual data accessibility is expected to drive market growth in the nations of North America.
North America is expected to possess a 27.5% market share in 2022, registering a CAGR of 20% for the bimodal identity management solutions market in the assessment period from 2023 to 2033 due to the aforementioned factors.
Increasing Number of Small and Medium-Sized Businesses Fueling Rapid Adoption
The bimodal identity solution market is expected to expand at a notable rate in the coming years, with an increasing number of small and medium-sized businesses in Asia Pacific countries such as India and China.
In the Asia Pacific region, developing countries such as China and India have a growing number of small and medium-sized businesses, which is contributing to the growth of the bimodal identity management solutions market. Hence, Asia Pacific is expected to procure a 17% market share in 2022, recording a CAGR of 18% for the bimodal identity management solutions market in the assessment period between 2023 and 2033.
The key vendors for the bimodal identity management solutions market are SOTI Inc., Sophos Ltd, Hitachi ID Systems, SailPoint Technologies, Ping Identity, IBM Corporation, Colligo Networks, CA Technologies, SAP, VMware, Inc., Microsoft Corporation, Good Technology, Fischer International OneLogin, Inc., MobileIron, Okta, Inc., NetIQ Corporation, Symantec Corporation, Oracle Corporation, Dell EMC, Alfresco Software, Centrify, and Citrix Systems, Inc.
Recent Developments in the Bimodal Identity Management Solutions Market
Attribute | Details |
---|---|
Growth Rate | CAGR of 21.2% from 2023 to 2033 |
Base Year of Estimation | 2022 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in US$ million and Volume in Units and F-CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, growth factors, Trends, and Pricing Analysis |
Key Segments Covered | Vertical, Deployment, Organization Size, Region |
Regions Covered | North America; Latin America; Europe; East Asia; South Asia; The Middle East & Africa; Oceania |
Key Countries Profiled | The United States, Canada, Brazil, Mexico, Germany, Italy, France, The United Kingdom, Spain, Russia, China, Japan, India, GCC Countries, Australia |
Key Companies Profiled | SOTI Inc.; Sophos Ltd; Hitachi ID Systems; SailPoint Technologies; Ping Identity; IBM Corporation; Colligo Networks; CA Technologies; SAP; VMware, Inc.; Microsoft Corporation; Good Technology; Fischer International; OneLogin, Inc.; MobileIron; Okta Inc.; NetIQ Corporation; Symantec Corporation; Oracle Corporation; Dell EMC; Alfresco Software; Centrify; Citrix Systems, Inc. |
Customization & Pricing | Available upon Request |
The United States, Canada, and China dominate the global market.
The market is forecast to register a CAGR of 21.2% through 2033.
From 2018 to 2022, the market grew at a CAGR of 19.1%.
The rising demand for secure and safe solutions disrupts the current market trends.
The global market size is to reach US$ 8,140.3 million by 2033.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
5.3.1. Education
5.3.2. BFSI
5.3.3. Manufacturing
5.3.4. Telecom and I
5.3.5. Energy
5.3.6. Healthcare and Life Sciences
5.3.7. Public Sector & Utilities
5.3.8. Retail
5.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
6. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033
6.3.1. Small & Medium Enterprises (SMEs)
6.3.2. Large Enterprises
6.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033
7. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Deployment , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment , 2023 to 2033
7.3.1. Cloud-based
7.3.2. On-Premise
7.4. Y-o-Y Growth Trend Analysis By Deployment , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Deployment , 2023 to 2033
8. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. U.S.
9.2.1.2. Canada
9.2.2. By Vertical
9.2.3. By Organization Size
9.2.4. By Deployment
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Vertical
9.3.3. By Organization Size
9.3.4. By Deployment
9.4. Key Takeaways
10. Latin America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Vertical
10.2.3. By Organization Size
10.2.4. By Deployment
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Vertical
10.3.3. By Organization Size
10.3.4. By Deployment
10.4. Key Takeaways
11. Western Europe Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. U.K.
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Vertical
11.2.3. By Organization Size
11.2.4. By Deployment
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Vertical
11.3.3. By Organization Size
11.3.4. By Deployment
11.4. Key Takeaways
12. Eastern Europe Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Vertical
12.2.3. By Organization Size
12.2.4. By Deployment
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Vertical
12.3.3. By Organization Size
12.3.4. By Deployment
12.4. Key Takeaways
13. South Asia and Pacific Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Vertical
13.2.3. By Organization Size
13.2.4. By Deployment
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Vertical
13.3.3. By Organization Size
13.3.4. By Deployment
13.4. Key Takeaways
14. East Asia Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Vertical
14.2.3. By Organization Size
14.2.4. By Deployment
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Vertical
14.3.3. By Organization Size
14.3.4. By Deployment
14.4. Key Takeaways
15. Middle East and Africa Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Vertical
15.2.3. By Organization Size
15.2.4. By Deployment
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Vertical
15.3.3. By Organization Size
15.3.4. By Deployment
15.4. Key Takeaways
16. Key Countries Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Vertical
16.1.2.2. By Organization Size
16.1.2.3. By Deployment
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Vertical
16.2.2.2. By Organization Size
16.2.2.3. By Deployment
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Vertical
16.3.2.2. By Organization Size
16.3.2.3. By Deployment
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Vertical
16.4.2.2. By Organization Size
16.4.2.3. By Deployment
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Vertical
16.5.2.2. By Organization Size
16.5.2.3. By Deployment
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Vertical
16.6.2.2. By Organization Size
16.6.2.3. By Deployment
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Vertical
16.7.2.2. By Organization Size
16.7.2.3. By Deployment
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Vertical
16.8.2.2. By Organization Size
16.8.2.3. By Deployment
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Vertical
16.9.2.2. By Organization Size
16.9.2.3. By Deployment
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Vertical
16.10.2.2. By Organization Size
16.10.2.3. By Deployment
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Vertical
16.11.2.2. By Organization Size
16.11.2.3. By Deployment
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Vertical
16.12.2.2. By Organization Size
16.12.2.3. By Deployment
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Vertical
16.13.2.2. By Organization Size
16.13.2.3. By Deployment
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Vertical
16.14.2.2. By Organization Size
16.14.2.3. By Deployment
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Vertical
16.15.2.2. By Organization Size
16.15.2.3. By Deployment
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Vertical
16.16.2.2. By Organization Size
16.16.2.3. By Deployment
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Vertical
16.17.2.2. By Organization Size
16.17.2.3. By Deployment
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Vertical
16.18.2.2. By Organization Size
16.18.2.3. By Deployment
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Vertical
16.19.2.2. By Organization Size
16.19.2.3. By Deployment
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Vertical
16.20.2.2. By Organization Size
16.20.2.3. By Deployment
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Vertical
16.21.2.2. By Organization Size
16.21.2.3. By Deployment
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Vertical
16.22.2.2. By Organization Size
16.22.2.3. By Deployment
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Vertical
16.23.2.2. By Organization Size
16.23.2.3. By Deployment
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Vertical
17.3.3. By Organization Size
17.3.4. By Deployment
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. SOTI Inc.
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. Sophos Ltd
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Hitachi ID Systems
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. SailPoint Technologies
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Ping Identity
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. IBM Corporation
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Colligo Networks
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. CA Technologies
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. SAP
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. VMware, Inc.
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
18.1.11. Microsoft Corporation
18.1.11.1. Overview
18.1.11.2. Product Portfolio
18.1.11.3. Profitability by Market Segments
18.1.11.4. Sales Footprint
18.1.11.5. Strategy Overview
18.1.11.5.1. Marketing Strategy
18.1.12. Good Technology
18.1.12.1. Overview
18.1.12.2. Product Portfolio
18.1.12.3. Profitability by Market Segments
18.1.12.4. Sales Footprint
18.1.12.5. Strategy Overview
18.1.12.5.1. Marketing Strategy
18.1.13. Fischer International
18.1.13.1. Overview
18.1.13.2. Product Portfolio
18.1.13.3. Profitability by Market Segments
18.1.13.4. Sales Footprint
18.1.13.5. Strategy Overview
18.1.13.5.1. Marketing Strategy
18.1.14. OneLogin, Inc.
18.1.14.1. Overview
18.1.14.2. Product Portfolio
18.1.14.3. Profitability by Market Segments
18.1.14.4. Sales Footprint
18.1.14.5. Strategy Overview
18.1.14.5.1. Marketing Strategy
18.1.15. MobileIron
18.1.15.1. Overview
18.1.15.2. Product Portfolio
18.1.15.3. Profitability by Market Segments
18.1.15.4. Sales Footprint
18.1.15.5. Strategy Overview
18.1.15.5.1. Marketing Strategy
18.1.16. Okta Inc.
18.1.16.1. Overview
18.1.16.2. Product Portfolio
18.1.16.3. Profitability by Market Segments
18.1.16.4. Sales Footprint
18.1.16.5. Strategy Overview
18.1.16.5.1. Marketing Strategy
18.1.17. NetIQ Corporation
18.1.17.1. Overview
18.1.17.2. Product Portfolio
18.1.17.3. Profitability by Market Segments
18.1.17.4. Sales Footprint
18.1.17.5. Strategy Overview
18.1.17.5.1. Marketing Strategy
18.1.18. Symantec Corporation
18.1.18.1. Overview
18.1.18.2. Product Portfolio
18.1.18.3. Profitability by Market Segments
18.1.18.4. Sales Footprint
18.1.18.5. Strategy Overview
18.1.18.5.1. Marketing Strategy
18.1.19. Oracle Corporation
18.1.19.1. Overview
18.1.19.2. Product Portfolio
18.1.19.3. Profitability by Market Segments
18.1.19.4. Sales Footprint
18.1.19.5. Strategy Overview
18.1.19.5.1. Marketing Strategy
18.1.20. Dell EMC
18.1.20.1. Overview
18.1.20.2. Product Portfolio
18.1.20.3. Profitability by Market Segments
18.1.20.4. Sales Footprint
18.1.20.5. Strategy Overview
18.1.20.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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