The global graph analytics market in 2022 was valued at US$1.14 billion. The market value is anticipated to grow to US$6.90 billion by 2028. Graph analytics is a tool that analyses the direction and strength of relationships between objects in a graph. Graph analytics is the process of analyzing data represented in the form of a graph, which consists of nodes and edges that connect them. This type of analysis allows you to explore and uncover patterns and relationships within the data that may not be immediately apparent through other means. One of the key advantages of graph analytics is its ability to model complex systems and relationships. Traditional data analysis methods often rely on simple statistical techniques that assume linear relationships between variables. Graph analytics, on the other hand, can represent complex relationships between entities, such as social networks, supply chains, and biological systems, in a more natural and intuitive way.
The market value is expected to grow at a CAGR of 34.80% during the forecast period of 2023-2028. The growing demand for real-time analysis and identification of complex patterns, as well as the growing use of big data virtualization, are creating new growth opportunities for graph analytics vendors. Improved performance, scalability, reliability, better problem solving, and real-time application are some of the key benefits of implementing graph analytics solutions.
Market Segmentation Analysis:
- By Component: The report provides the bifurcation of the market into two segments based on the component: Solutions and Services. In 2022, in terms of value, solutions segment held the major share in the market. The growing demand for analyzing low-latency queries, the increasing need to analyze data in real-time, and the rapid adoption of virtualization for big data analytics are driving the growth of this segment. Because of the benefits provided by these solutions, several providers are considering investing in R&D to make it better and more affordable for small and medium-sized businesses.
- By Deployment: The report further provides the segmentation based on the deployment: On Premise and Cloud. During the forecast period, the cloud-based segment is expected to grow at the fastest CAGR. Cloud computing and storage systems are becoming increasingly popular among small and medium-sized businesses. Several organisations are gradually transitioning to cloud infrastructure, and this trend is expected to accelerate in the coming years. The advantages of cloud infrastructure, such as ease of adoption, reduced reliance on in-house infrastructure, scalability, and simple installation of security solutions, contribute to the segment's rapid growth.
- By Enterprise Size: The graph analytics market is further bifurcated based on the enterprise size: Large Enterprises and Small and Medium Enterprises (SMEs). Large Enterprises dominated the market in 2022. Large-scale enterprises often have complex data governance requirements, and they need tools that can handle sensitive data securely. Graph analytics tools can be configured to meet these requirements, providing a high level of security and compliance. Large enterprises have strong infrastructure, coupled with skilled IT personnel, to maintain large volumes of graph database platform, which is driving the segment’s growth.
- By Application: The report provides the bifurcation of the market into into six segments based on the application: Fraud Detection, Customer Analytics, Recommendation Engines, Risk & Compliance Management, Route Optimization and Others. In 2022, the fraud analytics segment accounted for the largest share of the graph analytics market. This segment's growth is being driven by the increasing adoption of technologies such as AI and machine learning for fraud detection. Furthermore, the rapid adoption of virtualization for big data analytics and the growing adoption of disruptive technologies are increasing the importance of fraud analytics.
- By Industry Vertical: The report provides the bifurcation of the market into into nine segments based on the industry vertical: Banking, Financial Services and Insurance (BFSI), IT & telecom, manufacturing, healthcare, government, retail & e-commerce, education, transportation and others. In 2022, BFSI hold a dominant position in the graph analytics market to gain insights into customer behavior, detect fraud, manage risks, and enhance operational efficiency. BFSI companies also use graph analytics for credit risk analysis, customer segmentation, and predicting financial market trends. The factors driving the adoption of graph analytics in BFSI include the need to improve risk management, compliance with regulations, and the increasing volume of financial data generated.
- By Region: The report provides insight into the graph analytics market based on the geographical operations, namely North America, Europe, Asia Pacific, Middle East & Africa and Latin America. The North American region held a dominant share in the graph analytics market, owing to the factors such as increasing adoption of cloud-based technologies, which are enabling businesses to store and analyze large amounts of data more efficiently and cost-effectively. Additionally, the growing importance of data-driven decision making in businesses is also fueling the demand for graph analytics solutions.
- During the forecast period, Asia-Pacific is anticipated to expand rapidly. The region's rapid growth is primarily driven by the increasing adoption of technologies such as AI, big data, and IoT. Furthermore, rising corporate investments in real-time analytics, favourable government policies and regulations, and increased demand for data storage and security are expected to help the region grow at a rapid pace in the coming years.
Market Dynamics:
- Growth Drivers: One of the most important factors impacting the global graph analytics market is the increasing availability of cloud-based analytics platforms. Cloud-based analytics platforms provide users with easy access to powerful graph analytics tools without the need for expensive hardware or software investments. This has made graph analytics more accessible to a wider range of users, including small and medium-sized businesses that may not have the resources to invest in their own infrastructure. Moreover, Cloud-based analytics platforms enable teams to collaborate on graph analytics projects in real-time, regardless of their location. This facilitates faster decision-making and enables organizations to more quickly respond to changes in the market or industry. Thus, the availability of cloud-based analytics platforms is driving the growth of the graph analytics market by providing users with easy access to powerful, scalable, and flexible analytics tools. Furthermore, the market has been growing over the past few years, due to factors such as surge in adoption of machine learning, increasing amount of data, rise in the demand for low latency queries, increasing adoption of big data analytics in various industries, increasingly complex data sets and many other factors.
- Challenges: However, the market has been confronted with some challenges specifically, data privacy and security issues, lack of technical skills and lack of ease in programming and standardization, etc. Data privacy and security issues are important factors that can hamper the growth of the graph analytics market. Graph analytics involves the analysis of relationships and patterns within data sets. This type of analysis requires access to large amounts of data, which can include sensitive information. Companies must ensure that they comply with legal and regulatory requirements, implement robust cyber-security measures, maintain consumer trust and confidence, ensure data accuracy and quality, and manage the cost and complexity associated with these challenges.
- Trends: The market is projected to grow at a fast pace during the forecast period, due to various latest trends such as growing volume of internet of things (IoT) Devices, emerging trends of social media analytics, increasing adoption of open-source graph databases, growing demand for fraud detection & expansion of use cases and increasing adoption of graph AI. The growing volume of Internet of Things (IoT) devices can have a significant impact on the graph analytics market. IoT devices generate massive amounts of data, which is often stored in graphs, making it easier to extract insights from the data. Graph analytics can be used to process this data and uncover patterns, relationships, and anomalies, providing valuable insights to businesses and organizations. As the number of IoT devices continues to grow, the volume of data generated by these devices will also increase exponentially. This means that there will be an increasing demand for advanced graph analytics tools that can handle the large volumes of data and provide real-time insights. This presents a huge opportunity for graph analytics vendors to develop new and innovative solutions that can help organizations extract insights from IoT data.
Impact Analysis of COVID-19 and Way Forward:
The COVID-19 pandemic has accelerated the adoption of graph analytics solutions across various industries, as companies look for ways to improve their operational efficiency, reduce costs, and gain insights into customer behavior. One of the biggest impacts of COVID-19 on the graph analytics market has been the increased demand for cloud-based solutions. The pandemic has accelerated the shift to the cloud, as organizations seek to leverage the scalability and flexibility of cloud-based solutions to meet the changing demands of their businesses. Cloud-based graph analytics solutions offer several advantages, including faster deployment, lower costs, and easier integration with other cloud-based applications.
The healthcare industry has also seen a significant impact from COVID-19 on the graph analytics market. The pandemic has highlighted the importance of data and analytics in healthcare, as healthcare providers have needed to quickly analyze large amounts of data related to the spread of the virus and the effectiveness of different treatments. Overall, while the COVID-19 pandemic has created many challenges for businesses around the world, it has also highlighted the importance of graph analytics in helping companies to navigate uncertain times and make informed decisions. As a result, the global graph analytics market is expected to continue to grow in the years to come.
Competitive Landscape:
The global graph analytics market is highly fragmented due to the presence of many small and medium-sized companies competing with each other and large enterprises. Technological advancements in the market are also bringing sustainable competitive advantage to companies, and the market is witnessing multiple partnerships and mergers.
The key players in the global graph analytics market are:
- Oracle Corporation
- Microsoft Corporation
- IBM Corporation
- Neo4j, Inc.
- TigerGraph, Inc
- TIBCO Software, Inc.
- Lynx Analytics
- Tom Sawyer Software
- Datastax, Inc
- Kineviz, Inc.
- Expero, Inc
- Linkurious SAS
- Graphistry
Table of Contents
1. Executive Summary
2. Introduction
2.1 Graph Analytics: An Overview
2.1.1 Definition of Graph Analytics
2.2 Graph Analytics Segmentation: An Overview
2.2.1 Graph Analytics Segmentation
2.2.2 Graph Analytics Segmentation by Industry Vertical
3. Global Market Analysis
3.1 Global Graph Analytics Market: An Analysis
3.1.1 Global Graph Analytics Market: An Overview
3.1.2 Global Graph Analytics Market by Value
3.1.3 Global Graph Analytics Market by Component (Solutions, and Services)
3.1.4 Global Graph Analytics Market by Deployment (On Premise and Cloud)
3.1.5 Global Graph Analytics Market by Enterprise Size (Large Enterprises and Small and Medium Enterprises (SMEs))
3.1.6 Global Graph Analytics Market by Application (Fraud Detection, Customer Analytics, Recommendation Engines, Risk & Compliance Management, Route Optimization and Others)
3.1.7 Global Graph Analytics Market by Industry Vertical (Banking, Financial Services and Insurance (BFSI), IT & Telecom, Manufacturing, Healthcare, Government, Retail & E-Commerce, Education, Transportation and Others)
3.1.8 Global Graph Analytics Market by Region (North America, Asia Pacific, Europe, Middle East & Africa and Latin America)
3.2 Global Graph Analytics Market: Component Analysis
3.2.1 Global Graph Analytics Market by Component: An Overview
3.2.2 Global Graph Analytics Solutions Market by Value
3.2.3 Global Graph Analytics Services Market by Value
3.3 Global Graph Analytics Market: Deployment Analysis
3.3.1 Global Graph Analytics Market By Deployment: An Overview
3.3.2 Global On Premise Graph Analytics Market By Value
3.3.3 Global Cloud Graph Analytics Market By Value
3.4 Global Graph Analytics Market: Enterprise Size Analysis
3.4.1 Global Graph Analytics Market By Enterprise Size: An Overview
3.4.2 Global Large Enterprises Graph Analytics Market By Value
3.4.3 Global Small and Medium Enterprises (SMEs) Graph Analytics Market By Value
3.5 Global Graph Analytics Market: Application Analysis
3.5.1 Global Graph Analytics Market By Application: An Overview
3.5.2 Global Fraud Detection Graph Analytics Market By Value
3.5.3 Global Customer Analytics Graph Analytics Market By Value
3.5.4 Global Recommendation Engines Graph Analytics Market By Value
3.5.5 Global Risk & Compliance Management Graph Analytics Market By Value
3.5.6 Global Route Optimization Graph Analytics Market By Value
3.5.7 Global Other Graph Analytics Application Graph Analytics Market By Value
3.6 Global Graph Analytics Market: Industry Vertical Analysis
3.6.1 Global Graph Analytics Market By Industry Vertical: An Overview
3.6.2 Global BFSI Graph Analytics Market By Value
3.6.3 Global IT & Telecom Graph Analytics Market By Value
3.6.4 Global Manufacturing Graph Analytics Market By Value
3.6.5 Global Healthcare Graph Analytics Market By Value
3.6.6 Global Government Graph Analytics Market By Value
3.6.7 Global Retail & E-commerce Graph Analytics Market By Value
3.6.8 Global Education Graph Analytics Market By Value
3.6.9 Global Transportation Graph Analytics Market By Value
3.6.10 Global Other Industries Graph Analytics Market By Value
4. Regional Market Analysis
4.1 North America Graph Analytics Market: An Analysis
4.1.1 North America Graph Analytics Market: An Overview
4.1.2 North America Graph Analytics Market by Value
4.1.3 North America Graph Analytics Market by Region (The US, Canada and Mexico)
4.1.4 The US Graph Analytics Market by Value
4.1.5 Canada Graph Analytics Market by Value
4.1.6 Mexico Graph Analytics Market by Value
4.2 Europe Graph Analytics Market: An Analysis
4.2.1 Europe Graph Analytics Market: An Overview
4.2.2 Europe Graph Analytics Market by Value
4.2.3 Europe Graph Analytics Market by Region (Germany, United Kingdom, France, Italy and Rest of the Europe)
4.2.4 Germany Graph Analytics Market by Value
4.2.5 United Kingdom Graph Analytics Market by Value
4.2.6 France Graph Analytics Market by Value
4.2.7 Italy Graph Analytics Market by Value
4.2.8 Rest of Europe Graph Analytics Market by Value
4.3 Asia Pacific Graph Analytics Market: An Analysis
4.3.1 Asia Pacific Graph Analytics Market: An Overview
4.3.2 Asia Pacific Graph Analytics Market by Value
4.3.3 Asia Pacific Graph Analytics Market by Region (China, India, Japan, South Korea, Australia and Rest of Asia Pacific)
4.3.4 China Graph Analytics Market by Value
4.3.5 India Graph Analytics Market by Value
4.3.6 Japan Graph Analytics Market by Value
4.3.7 South Korea Graph Analytics Market by Value
4.3.8 Australia Graph Analytics Market by Value
4.3.9 Rest of Asia Pacific Graph Analytics Market by Value
4.4 Middle East & Africa Graph Analytics Market: An Analysis
4.4.1 Middle East & Africa Graph Analytics Market: An Overview
4.4.2 Middle East & Africa Graph Analytics Market by Value
4.5 Latin America Graph Analytics Market: An Analysis
4.5.1 Latin America Graph Analytics Market: An Overview
4.5.2 Latin America Graph Analytics Market by Value
5. Impact of COVID-19
5.1 Impact of COVID-19
5.1.1 Impact of COVID-19 on Graph Analytics Market
5.1.2 Post-COVID-19 Scenario of Graph Analytics Market
6. Market Dynamics
6.1 Growth Drivers
6.1.1 Increasing Availability of Cloud-based Analytics Platforms
6.1.2 Increasing Amount Of Data
6.1.3 Rise in the Demand for Low Latency Queries
6.1.4 Increasing Adoption Of Big Data Analytics In Various Industries
6.1.5 Increasingly Complex Data Sets
6.1.6 Surge in Adoption of Machine Learning
6.2 Challenges
6.2.1 Data Privacy and Security Issues
6.2.2 Lack of Technical Skills
6.2.3 Lack of Ease in Programming and Standardization
6.3 Market Trends
6.3.1 Growing Volume of Internet of Things (IoT) Devices
6.3.2 Emerging Trends Of Social Media Analytics
6.3.3 Increasing Adoption of Open-Source Graph Databases
6.3.4 Growing Demand for Fraud Detection & Expansion of Use Cases
6.3.5 Increasing Adoption of Graph AI
7. Competitive Landscape
7.1 Global Graph Analytics Market Players: Key Comparison
8. Company Profiles
8.1 Microsoft Corp.
8.1.1 Business Overview
8.1.2 Operating Segments
8.1.3 Business Strategy
8.2 International Business Machines Corporation (IBM)
8.2.1 Business Overview
8.2.2 Operating Segments
8.2.3 Business Strategy
8.3 Oracle Corporation
8.3.1 Business Overview
8.3.2 Operating Segments
8.3.3 Business Strategy
8.4 Neo4j, Inc.
8.4.1 Business Overview
8.4.2 Business Strategy
8.5 TigerGraph, Inc.
8.5.1 Business Overview
8.5.2 Business Strategy
8.6 TIBCO Software, Inc.
8.6.1 Business Overview
8.6.2 Business Strategy
8.7 Lynx Analytics
8.7.1 Business Overview
8.7.2 Business Strategy
8.8 Expero, Inc.
8.8.1 Business Overview
8.8.2 Business Strategy
8.9 DataStax, Inc.
8.9.1 Business Overview
8.9.2 Business Strategy
8.10 Kineviz, Inc.
8.10.1 Business Overview
8.11 Tom Sawyer Software
8.11.1 Business Overview
8.12 Linkurious SAS
8.12.1 Business Overview
8.13 Graphistry
8.13.1 Business Overview
List of Figures
Figure 1: Advantages of Graph Analytics
Figure 2: Graph Analytics Segmentation
Figure 3: Graph Analytics Segmentation by Industry Vertical
Figure 4: Global Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 5: Global Graph Analytics Market by Value; 2023-2028 (US$ Billion)
Figure 6: Global Graph Analytics Market by Component; 2022 (Percentage, %)
Figure 7: Global Graph Analytics Market by Deployment; 2022 (Percentage, %)
Figure 8: Global Graph Analytics Market by Enterprise Size; 2022 (Percentage, %)
Figure 9: Global Graph Analytics Market by Application; 2022 (Percentage, %)
Figure 10: Global Graph Analytics Market by Industry Vertical; 2022 (Percentage, %)
Figure 11: Global Graph Analytics Market by Region; 2022 (Percentage, %)
Figure 12: Global Graph Analytics Solutions Market by Value; 2018-2022 (US$ Million)
Figure 13: Global Graph Analytics Solutions Market by Value; 2023-2028 (US$ Billion)
Figure 14: Global Graph Analytics Services Market by Value; 2018-2022 (US$ Million)
Figure 15: Global Graph Analytics Services Market by Value; 2023-2028 (US$ Billion)
Figure 16: Global On Premise Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 17: Global On Premise Graph Analytics Market By Value; 2023-2028 (US$ Billion)
Figure 18: Global Cloud Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 19: Global Cloud Graph Analytics Market By Value; 2023-2028 (US$ Billion)
Figure 20: Global Large Enterprises Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 21: Global Large Enterprises Graph Analytics Market By Value; 2023-2028 (US$ Billion)
Figure 22: Global Small and Medium Enterprises (SMEs) Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 23: Global Small and Medium Enterprises (SMEs) Graph Analytics Market By Value; 2023-2028 (US$ Billion)
Figure 24: Global Fraud Detection Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 25: Global Fraud Detection Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 26: Global Customer Analytics Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 27: Global Customer Analytics Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 28: Global Recommendation Engines Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 29: Global Recommendation Engines Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 30: Global Risk & Compliance Management Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 31: Global Risk & Compliance Management Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 32: Global Route Optimization Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 33: Global Route Optimization Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 34: Global Other Graph Analytics Application Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 35: Global Other Graph Analytics Application Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 36: Global BFSI Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 37: Global BFSI Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 38: Global IT & Telecom Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 39: Global IT & Telecom Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 40: Global Manufacturing Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 41: Global Manufacturing Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 42: Global Healthcare Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 43: Global Healthcare Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 44: Global Government Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 45: Global Government Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 46: Global Retail & E-commerce Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 47: Global Retail & E-commerce Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 48: Global Education Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 49: Global Education Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 50: Global Transportation Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 51: Global Transportation Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 52: Global Other Industries Graph Analytics Market By Value; 2018-2022 (US$ Million)
Figure 53: Global Other Industries Graph Analytics Market By Value; 2023-2028 (US$ Million)
Figure 54: North America Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 55: North America Graph Analytics Market by Value; 2023-2028 (US$ Billion)
Figure 56: North America Graph Analytics Market by Region; 2022 (Percentage, %)
Figure 57: The US Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 58: The US Graph Analytics Market by Value; 2023-2028 (US$ Billion)
Figure 59: Canada Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 60: Canada Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 61: Mexico Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 62: Mexico Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 63: Europe Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 64: Europe Graph Analytics Market by Value; 2023-2028 (US$ Billion)
Figure 65: Europe Graph Analytics Market by Region; 2022 (Percentage, %)
Figure 66: Germany Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 67: Germany Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 68: United Kingdom Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 69: United Kingdom Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 70: France Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 71: France Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 72: Italy Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 73: Italy Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 74: Rest of Europe Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 75: Rest of Europe Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 76: Asia Pacific Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 77: Asia Pacific Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 78: Asia Pacific Graph Analytics Market by Region; 2022 (Percentage, %)
Figure 79: China Graph Analytics Market by Value, 2018-2022 (US$ Million)
Figure 80: China Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 81: India Graph Analytics Market by Value, 2018-2022 (US$ Million)
Figure 82: India Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 83: Japan Graph Analytics Market by Value, 2018-2022 (US$ Million)
Figure 84: Japan Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 85: South Korea Graph Analytics Market by Value, 2018-2022 (US$ Million)
Figure 86: South Korea Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 87: Australia Graph Analytics Market by Value, 2018-2022 (US$ Million)
Figure 88: Australia Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 89: Rest of Asia Pacific Graph Analytics Market by Value, 2018-2022 (US$ Million)
Figure 90: Rest of Asia Pacific Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 91: Middle East & Africa Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 92: Middle East & Africa Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 93: Latin America Graph Analytics Market by Value; 2018-2022 (US$ Million)
Figure 94: Latin America Graph Analytics Market by Value; 2023-2028 (US$ Million)
Figure 95: Global Whole Cloud Forecast; 2021-2025 (US$ Billion)
Figure 96: Global Data Forecast; 2021-2026 (Thousand Exabytes)
Figure 97: Global Number Of Data Records Exposed; Q1 2020-Q3 2022 (Million)
Figure 98: Global Number of Internet of Things (IoT) Devices Connections; 2019-2024 (Billion)
Figure 99: Microsoft Corp. Revenue by Operating Segment; 2022 (Percentage, %)
Figure 100: International Business Machines Corporation (IBM) Revenue by Operating Segment; 2022 (Percentage, %)
Figure 101: Oracle Corporation Revenue by Operating Segments; 2022 (Percentage, %)
Table 1: Global Graph Analytics Market Players: Key Comparison
Companies Mentioned
- Oracle Corporation
- Microsoft Corporation
- IBM Corporation
- Neo4j, Inc.
- TigerGraph, Inc
- TIBCO Software, Inc.
- Lynx Analytics
- Tom Sawyer Software
- Datastax, Inc
- Kineviz, Inc.
- Expero, Inc
- Linkurious SAS
- Graphistry
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 177 |
| Published | March 2023 |
| Forecast Period | 2023 - 2028 |
| Estimated Market Value ( USD | $ 1.55 Billion |
| Forecasted Market Value ( USD | $ 6.9 Billion |
| Compound Annual Growth Rate | 34.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 13 |
