ICT sector is changing rapidly by every passing day; it has become an essential part of today's economy as it affects both business and social dynamics. The market is growing due to the advent of advanced technology and the necessity of communication and information technology in this changing world. The sector is likely to grow due to rising IT industry across the globe along with the strong demand in vertical markets such as healthcare, BFSI, education, etc. Value Market Research analyses current and emerging trends in the ICT market, to deliver latest and accurate research data across high-potential sectors.
December 2023
The global demand for Digital Copyright Market is presumed to reach the market size of nearly USD XX MN by 2030 from USD XX MN in 2022 with a CAGR of XX% under the study period of 2023 - 2030. Regarding volume, the market was calculated XX Thousand Units in 2022 and forecast to touch XX Thousand Units by 2030 with a CAGR of XX% during 2023-2030.
Digital copyright refers to the legal rights granted to creators and owners of digital content, ensuring that they have control over the use, distribution, reproduction, and display of their creative works in digital formats. It encompasses the protection of various forms of digital content, including text, images, music, videos, software, and other digital assets.
The digital copyright market is shaped by various factors influencing the creation, protection, distribution, and monetization of digital content. Advancements in digital technology, including the internet and streaming services, impact content creation and consumption patterns, driving market dynamics. Concerns over piracy and unauthorized distribution of digital content lead to the development and adoption of copyright enforcement measures and technologies. Changes in copyright laws and regulations globally affect the management, licensing, and protection of digital content. Innovations in monetization strategies, DRM technologies, and blockchain solutions influence revenue generation and content protection methods. Platforms facilitating user-generated content pose challenges regarding copyright ownership and moderation. Cross-border content distribution and initiatives empowering individual creators further impact market dynamics.
The report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of digital copyright. The growth and trends of Digital Copyright Industry provide a holistic approach to this study.
This section of the digital copyright market report provides detailed data on the segments by analyzing them at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Type
By Application
This section covers the regional outlook, which accentuates current and future demand for the Digital Copyright market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the digital copyright market include Netflix, Youku, Tencent, YouTube, IQIYI, Hulu, Dailymotion, Amazon, MX Player (Times Internet), Vimeo, Qidian. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
December 2023
The global demand for ATM Services Procurement Intelligence Market is presumed to reach the market size of nearly USD 11.8 BN by 2030 from USD 6.97 BN in 2022 with a CAGR of 6.8% under the study period 2023 - 2030.
ATM services procurement intelligence refers to the process of acquiring information and insights related to the procurement or sourcing of Automated Teller Machine (ATM) services. This encompasses gathering comprehensive data, market analysis, supplier information, cost structures, industry trends, and regulatory considerations related to outsourcing or acquiring ATM services for a business or financial institution.
The ATM services procurement intelligence market is shaped by various factors influencing how businesses and financial institutions acquire ATM services. Technological advancements in ATM technology, particularly in security and user experience, drive market trends. Compliance with evolving regulations and security standards heavily influences vendor selection and contract terms. Market competition fosters innovation and cost competitiveness among service providers, enabling businesses to negotiate favorable terms. Understanding customer preferences for accessible, secure, and efficient ATM services directs procurement decisions. The imperative of robust security measures to combat cyber threats and fraud impacts vendor choices. Additionally, factors like operational efficiency, data analytics capabilities, economic fluctuations, and sustainability concerns further guide the procurement landscape. Collectively, these factors inform businesses in choosing ATM service providers that align with technological advancements, regulatory compliance, customer demands, and operational efficiency while addressing security risks and sustainability goals.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of atm services procurement intelligence. The growth and trends of atm services procurement intelligence industry provide a holistic approach to this study.
This section of the atm services procurement intelligence market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
This section covers the regional outlook, which accentuates current and future demand for the ATM Services Procurement Intelligence market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the ATM Services Procurement Intelligence market include Diebold Nixdorf, AGS Transact Technologies Ltd., Brink’s Incorporated, AEPS India, NCR Corporation, Loomis Armored US, LLC, Prineta LLC, NationalLink Inc., ATM USA, LLC, Hyosung Global. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Predictive Maintenance Market is presumed to reach the market size of nearly USD 71.28 BN by 2030 from USD 8.49 BN in 2022 with a CAGR of 30.47% under the study period 2023 - 2030.
Predictive maintenance is a proactive approach used in various industries, especially manufacturing, utilities, transportation, and other sectors with machinery and equipment. It involves using data, machine learning, and predictive analytics to foresee potential equipment failures or breakdowns before they occur.
Chief among these is the promise of substantial cost savings achieved by averting unplanned downtime, optimizing maintenance schedules, and preventing expensive equipment failures. Technological advancements in sensors, IoT, machine learning, and analytics are pivotal, enabling more accurate and efficient predictive maintenance solutions. The widespread adoption of Industry 4.0 principles and IoT devices generates vast data streams, fostering the use of predictive maintenance strategies. Industries place great emphasis on equipment reliability and operational efficiency, prompting the shift from reactive to proactive maintenance practices. Moreover, the complexities of modern machinery, the need to optimize asset utilization, compliance with regulations, and the increasing reliance on data analytics further fuel the demand for predictive maintenance solutions. Ultimately, these factors collectively drive industries to adopt proactive, data-driven maintenance approaches to maximize operational efficiency, reduce costs, and ensure optimal equipment performance and longevity.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of predictive maintenance. The growth and trends of predictive maintenance industry provide a holistic approach to this study.
This section of the predictive maintenance market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Component
By Solution
By Service
By Deployment Model
By Enterprise Size
By Monitoring Technique
By End Use
This section covers the regional outlook, which accentuates current and future demand for the Predictive Maintenance market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Predictive Maintenance market include Accenture plc, Cisco Systems, Inc., General Electric, Honeywell International Inc., Hitachi, Ltd., IBM Corporation, Microsoft, PTC, Robert Bosch GmbH, Rockwell Automation, SAP SE, SAS Institute, Schneider Electric SE, Siemens, and Software AG. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Vector Database Market is presumed to reach the market size of nearly USD 13.44 BN by 2030 from USD 2.32 BN in 2022 with a CAGR of 24.56% under the study period 2023 - 2030.
A vector database is a type of database specifically designed to store and efficiently manage vector-based data. In the context of computing and databases, a vector refers to an ordered collection of numbers or elements, typically organized in an array or a list. Each element represents a specific attribute or dimension.
The surge in geospatial applications across industries, like transportation and urban planning, propels the need for databases capable of efficiently managing spatial data. The influx of big geospatial data from sources like satellites and IoT devices necessitates databases equipped to handle large datasets effectively. Technological advancements in database capabilities, such as improved indexing and spatial querying, fuel the development of more robust vector databases. These databases find application in diverse sectors, contributing to market growth as specialized needs emerge. Integration with AI and machine learning drives demand for databases capable of handling complex spatial data for predictive analytics and location-based services. Active open-source communities and standardization efforts promote collaborative innovation, while the demand for real-time processing and compliance with data regulations emphasizes security and efficient handling of sensitive location-based information.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of vector database. The growth and trends of vector database industry provide a holistic approach to this study.
This section of the vector database market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
By Technology
By Vertical
This section covers the regional outlook, which accentuates current and future demand for the Vector Database market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Vector Database market include Microsoft (US), Elastic (US), Alibaba Cloud (China), MongoDB (US), Redis (US), SingleStore (US), Zilliz (US), Pinecone (US), Google (US), AWS (US), Milvus (US), Weaviate (Netherlands), and Qdrant (Berlin) Datastax (US), KX (US), GSI Technology (US), Clarifal (US), Kinetica (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for AI Toolkit Market is presumed to reach the market size of nearly USD 190.07 BN by 2030 from USD 15.15 BN in 2022 with a CAGR of 37.19% under the study period 2023 - 2030.
An AI toolkit typically refers to a set of software development tools, frameworks, libraries, and resources that enable developers, researchers, and data scientists to create, implement, and deploy artificial intelligence (AI) models and applications.
The widespread adoption of AI across industries propels the demand for tools facilitating its development. Continuous technological advancements and the explosion of big data necessitate robust toolkits capable of handling complex AI algorithms and large datasets effectively. The prominence of machine learning and deep learning techniques further fuels the need for specialized toolkits catering to these domains. Automation trends drive the development of toolkits that streamline various AI processes, making them more accessible to users without extensive technical expertise. The accessibility and user-friendliness of these toolkits, often supported by open-source communities, encourage widespread adoption. Simultaneously, evolving regulatory landscapes emphasize the importance of compliant and secure AI toolkits. The expansion of AI into diverse sectors, coupled with emerging use cases in healthcare, finance, and autonomous systems, drives the creation of specialized toolkits.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of ai toolkit. The growth and trends of ai toolkit industry provide a holistic approach to this study.
This section of the ai toolkit market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
By Technology
By Vertical
This section covers the regional outlook, which accentuates current and future demand for the AI Toolkit market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI Toolkit market include Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Privileged Access Management Market is presumed to reach the market size of nearly USD 58.45 BN by 2030 from USD 5.71 BN in 2022 with a CAGR of 33.74% under the study period 2023 - 2030.
Privileged access management (PAM) is a cybersecurity practice that focuses on securing and managing privileged accounts within an organization. Privileged accounts include those with elevated access rights, such as system administrators, IT personnel, and other users with elevated privileges to critical systems, databases, or sensitive data.
The privileged access management market is growing due to several key factors shaping the cybersecurity landscape. Increasing cyber threats, including insider risks and data breaches, propel the demand for robust security measures. PAM solutions play a crucial role by securing and controlling access to privileged accounts, which are prime targets for attackers. Stringent data protection regulations mandate strong controls over privileged access, making PAM solutions essential for compliance adherence. Organizations are increasingly aware of insider threats, driving the need for monitoring and controlling privileged user activities, a capability offered by PAM solutions. The adoption of zero-trust security principles aligns with privileged access management, focusing on restricting access and continuous verification. With the complexity of IT environments, especially in cloud-based and hybrid setups, PAM provides centralized control and security over diverse systems. Instances of high-profile breaches underscore the necessity of robust privileged access management solutions in preventing unauthorized access to critical assets.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of privileged access management. The growth and trends of privileged access management industry provide a holistic approach to this study.
This section of the privileged access management market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Component
By Installation Type
By Deployment Mode
By Organization Size
By Vertical
This section covers the regional outlook, which accentuates current and future demand for the Privileged Access Management market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Privileged Access Management market include ARCON (India), Balabit (Hungary), Beyond Trust (U.S.), Bomgar Corporation (U.S.), CA, Inc. (U.S.), Centrify (U.S.), Core Security (U.S.), Cyberark (U.S.), Hitachi-ID (Canada), IBM Corporation (U.S.), Iraje (U.S.), Lieberman Software (U.S.), MANAGEENGINE (U.S.), MICROFOCUS(U.K.), NRI Secure Technologies (U.S.), ObserveIT (U.S.), Onion ID (U.S.), Oracle Corporation (U.S.). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Insolvency Software Market is presumed to reach the market size of nearly USD 5.71 BN by 2030 from USD 2.43 BN in 2022 with a CAGR of 11.29% under the study period 2023 - 2030.
Insolvency software refers to specialized digital tools and platforms designed to assist insolvency practitioners, financial advisors, legal professionals, and organizations in managing and navigating insolvency proceedings and restructuring processes.
The insolvency software market experiences growth driven by diverse factors responding to the complexities of insolvency cases and restructuring processes. A surge in insolvency cases, often amplified during economic challenges, fuels the demand for software solutions that streamline these intricate proceedings efficiently. Evolving and stringent regulatory frameworks governing insolvency necessitate software aiding practitioners in compliance adherence, reporting standards, and streamlined documentation. Efficiency gains through automation are crucial; insolvency software automates tasks like case management, documentation, and compliance checks, reducing manual efforts and improving operational efficiency. Moreover, the need for sophisticated financial analysis tools supporting decision-making, coupled with platforms enabling secure collaboration among stakeholders, further drives software adoption. Cost and time savings, technological advancements offering AI-driven analytics and cloud-based solutions, and the broader trend of digitization in legal and financial sectors collectively propel the growth of insolvency software. These solutions cater to the complexities of insolvency cases, offering practitioners, organizations, and legal professionals efficient, compliant, and technologically advanced tools to navigate these intricate processes.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of insolvency software. The growth and trends of insolvency software industry provide a holistic approach to this study.
This section of the insolvency software market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
By Organization Size
By Application
By Vertical
This section covers the regional outlook, which accentuates current and future demand for the Insolvency Software market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Insolvency Software market include Clio (Canada), CARET (US), Altisource (US), Aryza (Ireland), Stretto (US), Epiq (US), Kroll (US), Turnkey IPS (UK), QwikFile (US), Fastcase (US), CaseWare (Canada), Standard Legal (US), LegalPRO (US), PracticePanther (US), Smokeball (US), Litera (US), stp.one (Germany), NeSL (India). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Fault Detection and Classification Market is presumed to reach the market size of nearly USD 10.43 BN by 2030 from USD 5.19 BN in 2022 with a CAGR of 9.12% under the study period 2023 - 2030.
Fault detection and classification (FDC) is a process used in various industries, particularly in manufacturing and engineering, to monitor systems, equipment, or processes for abnormalities or faults. Its primary objective is to detect anomalies and deviations from normal operating conditions and classify these issues to enable timely corrective actions.
The fault detection and classification market is fueled by diverse factors shaping modern industrial practices. The shift toward Industry 4.0 and automation drives the need for advanced systems to ensure the reliability and efficiency of automated processes. Businesses increasingly adopt proactive maintenance strategies, where FDC plays a crucial role by enabling predictive maintenance, reducing unplanned downtime, and optimizing equipment performance. Improving operational efficiency remains a priority across industries, and FDC solutions contribute by identifying faults and streamlining processes. Compliance with industry regulations and quality standards further propels the demand for FDC, ensuring product quality and safety. As manufacturing processes grow more complex, FDC becomes integral in maintaining system integrity and product quality. Advancements in sensor technologies provide more accurate and real-time data, enhancing the precision of fault detection and classification. Moreover, cost savings, risk mitigation, and the avoidance of costly equipment failures solidify FDC's position as an essential investment for industries seeking operational excellence and competitive advantage. These factors collectively drive the expansion and adoption of FDC solutions across diverse industrial sectors.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of fault detection and classification. The growth and trends of fault detection and classification industry provide a holistic approach to this study.
This section of the fault detection and classification market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Fault Type
By Technique/Technology
By Offering
By Application
By End Use
This section covers the regional outlook, which accentuates current and future demand for the Fault Detection and Classification market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Fault Detection and Classification market include Keyence Corporation (Japan), Cognex Corporation (US), KLA Corporation (US), Teledyne Technologies (US), OMRON Corporation (Japan), Microsoft (US), Tokyo Electron Limited (Japan), Siemens (Germany), Amazon Web Services, Inc. (US), Synopsys, Inc. (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Explainable AI Market is presumed to reach the market size of nearly USD 28.41 BN by 2030 from USD 6 BN in 2022 with a CAGR of 21.45% under the study period 2023 - 2030.
Explainable AI (XAI) refers to the capability of AI systems to provide understandable explanations or justifications for their decisions, predictions, or actions in a human-understandable manner. It aims to make the reasoning behind AI models transparent and interpretable, allowing users to comprehend how and why the AI arrived at a particular output.
The explainable AI market is burgeoning due to various compelling factors. Heightened concerns about AI fairness, biases, and regulatory compliance drive the need for transparent and interpretable AI systems. Ethical considerations, coupled with regulations like GDPR, emphasize the significance of accountable AI models, spurring the demand for XAI. Enhanced trust is pivotal for AI adoption. XAI addresses this by offering explanations for AI decisions instilling confidence among users, stakeholders, and regulatory bodies. Industries relying on AI in critical applications, such as healthcare diagnostics, finance, and autonomous vehicles, seek explainable AI to understand and trust the decision-making process in these high-stakes scenarios. Moreover, it facilitates collaboration between AI systems and human experts, leveraging interpretable explanations for informed decision-making. It plays a pivotal role in identifying and mitigating biases within AI models, ensuring fairness and equity in outcomes. Businesses also see XAI as a tool for competitive advantage, providing insights into AI-generated predictions while aiding in risk assessment and decision-making processes. These factors collectively drive the expansion and adoption of explainable AI across diverse industries and applications.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of explainable ai. The growth and trends of explainable ai industry provide a holistic approach to this study.
This section of the explainable ai market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
By Software Type
By Methods
By Vertical
This section covers the regional outlook, which accentuates current and future demand for the Explainable AI market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Explainable AI market include Microsoft (US), IBM (US), Google (US), Salesforce (US), Intel Corporation (US), NVIDIA(US), SAS Institute (US). Alteryx(US), AWS(US), Equifax(US), FICO(US), Temenos(Switzerland), Mphasis (India), C3.AI(US), H2O.ai(US), Fiddler (US), Zest AI(US), Seldon(London). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
November 2023
The global demand for Security Service Edge Market is presumed to reach the market size of nearly USD 6.15 BN by 2030 from USD 0.96 BN in 2022 with a CAGR of 26.15% under the study period 2023 - 2030.
Security service edge (SSE) is a cybersecurity framework and architectural model that combines network security functions with cloud-native technologies to provide comprehensive security solutions directly at the edge of the network. It integrates security capabilities into the cloud services and network edges to protect data, applications, and users wherever they are located, rather than relying solely on centralized security measures.
The security service edge market is propelled by several influential factors reshaping the cybersecurity landscape. The shift to remote work and accelerated digital transformation initiatives has widened the scope of potential cyber threats, prompting organizations to invest in SSE solutions. These solutions secure remote access, applications, and data, aligning with the migration of assets to cloud environments and the adoption of Zero Trust Security principles. Traditional security models are proving inadequate against evolving threats, driving the demand for security service edges dynamic approach, integrating cloud-native technologies and zero-trust principles. Moreover, the escalating frequency and sophistication of cyberattacks, compliance requirements, and the rise of edge computing all contribute to SSE's growing significance. Its ability to provide secure access, protect data, and ensure business continuity resonates with organizations aiming to fortify their security measures amidst an evolving digital landscape.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of security service edge. The growth and trends of security service edge industry provide a holistic approach to this study.
This section of the security service edge market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
By Solutions
By Services
By Vertical
This section covers the regional outlook, which accentuates current and future demand for the Security Service Edge market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Security Service Edge market include Netskope (US), ZScaler (US), Palo Alto Networks (US), Cisco (US), Broadcom (US), Forcepoint (US), Lookout (US), iBoss (US), Skyhigh Security (US), Cloudflare (US), Trend Micro (Japan), Akamai (US), Fortinet (US), Aruba Networks (US), Citrix (US), Cato Networks (Israel), Perimeter81 (Israel), Open Systems (Switzerland). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.