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The expanding utility of graph data models to many businesses is driving dynamic developments in the Graph Analytics industry. Fraud detection, social network analysis, and recommendation systems benefit from graph analytics, which explores linkages and connections in complicated information. The digital landscape's growing data complexity and interconnection affects market dynamics. Graph analytics solutions are in demand as firms struggle to find hidden patterns and correlations in massive data sets.
Big data and the demand for more advanced data analysis are driving the Graph Analytics industry. Traditional analytics typically fail to capture interrelated data's complex interactions. Graph analytics models and analyzes entity connections to create a more detailed view of data. This has led to its acceptance in banking, healthcare, information security, and online shopping, where identifying hidden relationships is crucial for decision-making.
Recent advances in distributed computing and concurrent processing are changing the Graph Analytics sector. Computer power is needed to analyze big graph datasets, but graph databases, distributed computing structures, and specialized graph processors are making it possible. Scalability is essential for businesses with complex and growing datasets to maximize graph analytics' potential.
Another major driver is graph analytics combined with AI and ML. Organizations may get deeper data insights using graph analytics and AI/ML algorithms. This synergy finds graph patterns, abnormalities, and predicted correlations. Businesses may generate better forecasts, improve decision-making, and get actionable knowledge from linked data.
Graph Analytics market diversity is driven by industry needs. Healthcare, banking, logistics, and telecommunications have distinct needs, thus suppliers are adapting their solutions to those needs. This specialism shows graph analytics' adaptability, helping firms to optimize supply chain networks and detect financial transaction fraud.
Data privacy and security affect Graph Analytics industry dynamics. Organizations use graph analytics to get insights from sensitive data, thus security and privacy are crucial. To counter data breaches and illegal access, vendors are adding strong security measures. Companies using graph analytics solutions are also considering data protection compliance.
Established companies and creative startups compete in the Graph Analytics market. Vendors differentiate themselves by emphasizing integration, usability, and data source diversity. Market competition drives ongoing innovation, with manufacturers improving their services to remain ahead in the continually changing analytics field.
Graph Analytics Market Highlights:
Graph Analytics Market Overview
According to the reports, the Graph Analytics Market size is projected to grow at a compound annual growth rate of CAGR of 31.6 percent during the forecast timeframe, by the end of the year, reaching total revenue of Usd 2,885.2 million. Analytical techniques which are used to identify the direction and strength of connections among items in a graph are known as graph analytics solutions. It is network analysis that is used in graph analytics, and it is becoming more popular for analytics workloads. The use of graph analysis for social network influencer analysis is becoming more popular. Marketing executives use this software to discover prospective customers for marketing initiatives by attempting to create feedback loops within social media network groups that result in purchasing goods and services. This is also employed in the detection of financial offenses, such as those involving financial fraud. Fraud detection software is also used to identify cases of fraud, including such suspicious purchases and applications in financial services, incentives fraud in governments, application and claiming forgery in healthcare, as well as other illegal dealings in communications These instruments are used in the prevention of crime and the conduct of counter-terrorism operations.
The increasing demand for actual data analysis, as well as the incorporation of a.i., blockchain technology, and the Internet of Things (IoT), are all significant factors contributing to the industry's expansion. A further element expected to drive the global graph analytics market growth is the increasing need for reduced searches that can be analyzed in real-time. Moreover, the shortage of technical skills in the field of graph analytics is anticipated to be a hindrance to the development of this industry in the future. The increasing need for sophisticated pattern identification, as well as the increasing use of virtualization for big data and analytics, provide possibilities again for the graph analytics industry.
This report contains all the information on the global Graph Analytics Market analysis and its strengths. The report also contains the culmination of dynamics, segmentation, key players, regional analysis, and other important factors. And a detailed analysis of the global Graph Analytics Market forecast for 2025 is also included in the report.
Covid 19 Analysis:
As the covid 19 outbreak has a negative impact on the graph analytics industry, the need for digitalization is anticipated to continue to rise. The market for graph analytics is benefitting from the effectiveness of digitized intermediaries, which is a win-win for everyone involved. Furthermore, as a result of the pandemic, the graph analytics market is expected to expand at an accelerating rate, as different governments are adopting visual database tools to monitor the transmission of this fatal disease.
Market Dynamic:Drivers:
This industry is generally driven by the rising need for low-latency searches, the growing demands for cloud-based solutions, and the integration of artificial intelligence, the Internet of Things, and Blockchain technology across various end-use sectors.
Opportunities: Developing markets such as Asia-Pacific and Latin America are embracing the digital revolution at a rapid rate, presenting substantial development potential for companies in the graph analytics market in the near future.
Restraints: The lack of standards and complicated coding for use-cases are stumbling blocks to the expansion of the industry.
Challenges:In certain ways, issues such as a scarcity of technical knowledge in graph analytics and the deterioration of economic circumstances as a result of the COVID-19 epidemic are posing obstacles to the expansion of the graph analytics market.
Cumulative Growth Analysis: In the year 2020, the solutions sector is expected to account for the majority of the graph analytics market share, according to IDC. These reasons, as well as the increasing need for limited queries, the increasing requirement to analyze data in real-time, and the fast adoption of virtualization for data analytics, are propelling the development of this market segment. Because of the advantages provided by these technologies, many suppliers are contemplating investing in research and development to make things better and more inexpensive for small and medium-sized businesses.
Value Chain Analysis: According to the reports, the global graph analytics market is divided into five segments: Component, Deployment Type (Scalable), Organization Size (Standardized), Application (Scalable), Vertical (Scalable), and Region. The worldwide graph analytics market is categorized into two categories based upon components: solution and service. The service sector has been further subdivided into three subcategories: consultation, system integration, and support and maintenance. The worldwide graph analytics market is categorized into two categories based on deployment type: cloud and on-premise. The worldwide graph analytics market is classified into two categories based on the size of the organization: small and medium-sized enterprises (SME) and large enterprises (LME).
The worldwide graph analytics market is categorized into many categories based on application, including customer analytics, route optimization, risk and compliance management, fraud detection, recommendation engine, and others. By vertical, the global graph analytics market is categorized into banking, financial services & insurance, transportation & logistical, healthcare & life sciences, manufacturing & process automation (including robotic process automation), government, telecom (including mobile phone networks), retail, and e-commerce (including online retail), and others.
Graph Analytics Market Segmentation Overview:
The market is segmented on the basis of Component, Deployment Type (Scalable), Organization Size (Standardized), Application (Scalable), Vertical (Scalable), and Region. The global graph analytics market trend is expected to witness decent growth during the forecast period.
By Application: Based on the application, the market is segmented into customer analytics, route optimization, risk and compliance management, fraud detection, recommendation engine, and others.
By end-users: Based on the propulsion types, the market is segmented into banking, financial services & insurance, transportation & logistical, healthcare & life sciences, manufacturing & process automation (including robotic process automation), government, telecom (including mobile phone networks), retail, and e-commerce (including online retail), and others.
Graph Analytics Market Regional Analysis
According to the reports, Over the projected period, the Global Graph Analytics Market is projected to expand at a compound annual growth rate (CAGR) of 31.6 percent. In order to better understand the worldwide graph analytics market, we performed a regional study of the regions of North America, Europe, Asia-Pacific, the Middle East and Africa, and South America. North America seems to have a major market share due to the fact that the businesses in this sector have been at the forefront of technological advancements throughout the world.
In the observation period, Europe is projected to be the 2nd largest industry owing to the strong growth of real data analytics among businesses across all verticals throughout the period under consideration. Even during the forecast timeframe, Asia-Pacific is expected to witness the fastest industry in the worldwide graph analytics market profit, according to the research. The majority of low queries is increasing, and this is the primary driver of development in the Asia-Pacific market for query analysis software.
Competitive Landscape
As a result of the increase in need from different sectors such as administration, banking and financial services, and information and telecom, the worldwide Graph Analytics business is seeing rapid development. Collaboration and product improvements have emerged as the most important natural growth strategy for major companies in order to expand their existing position in the marketplace and meet the needs of end customers across a wide range of verticals.
Graph Analytics Market Top Leaders
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Linkurious (France)
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TIBCO Software (US)
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Teradata (US)
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Graphistry (US)
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Objectivity (UK)
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Dataiku (US)
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Neo4j (US)
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Lynx Analytics (Singapore)
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Microsoft Corporation (US)
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IBM Corporation (US)
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AWS (US)
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TigerGraph (US)
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Cray, Inc. (US)
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DataStax (US)
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Oracle Corporation (US)
Recent Developments
Microsoft introduced improvements to the Microsoft Graph in May of this year. This version of the Microsoft Graph includes the data connect feature, which is a service that integrates analytics data from the Microsoft Graph with customer-provided business data.
Graph Analytics Market Segments
By Component:
Solutions
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Software Tools
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Platform
Services
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Consulting
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System Integration
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Support and Maintenance
By Deployment Mode
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On-premises
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Cloud
By Organization Size
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Large Enterprises
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Small and Medium-Sized Enterprises (SMEs)
By Application
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Customer Analytics
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Risk and Compliance Management
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Recommendation Engines
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Route Optimization
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Fraud Detection
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Others (Operations Management and Asset Management)
By Vertical
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Banking, Financial Services, and Insurance (BFSI)
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Retail and eCommerce
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Telecom
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Healthcare and Life Sciences
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Government and Public Sector
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Manufacturing
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Transportation and Logistics
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Others (Media And Entertainment, Education, and Real Estate)
By Region
North America
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US
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Canada
Europe
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UK
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Germany
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France
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Rest of Europe
Asia Pacific (APAC)
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China
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Japan
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Rest of APAC
The Middle East and Africa (MEA)
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Israel
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United Arab Emirates (UAE)
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South Africa
Latin America:
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Brazil
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Mexico
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Rest of Latin America
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