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Global Graph Analytics Market Overview
The Global Graph Analytics Market size is estimated to reach $ 2.8 billion by 2026, growing at a CAGR of 32.3% over the forecast period of 2021-2026. Graph analytics, also known as Graph Algorithms, are tools used to evaluate and assess the strength of relationships between elements in a business, such as goods, customers, and services. A graph is used to represent these relationships. Graph analytics seeks to portray the structural aspects by providing a pairwise link between the items present. Graphing relationships may assist in answering numerous questions throughout the problem-solving process and identifying what further needs to be done to optimize the outcome. Nations that want to connect urban regions with rural ones may spend heavily on train infrastructure. The graph analytics market may be driven by the expansion of railroad projects that provide a solid backup for commerce and are vital to logistics and supply chains.
Impact of COVID-19 on Graph Analytics Market:
Because graphs can make sense of abstract data through visual representation, the COVID-19 epidemic has worked as a driver for the graph analytics market. The use of specific clustering algorithms to overcome the limitations of standard virus detection methods in communities might benefit the market. In addition, graph analytics is being used by governments to track the virus's spread. We-Yun recently developed an application based on the Neo4j graph database to alert Chinese residents if they were in the vicinity of the virus.
Key Takeaways from Global Graph Analytics Market Report:
By Applications, the market for Route Optimization to grow at the highest CAGR during the forecast period.
By Applications, the Graph Analytics Market is segmented into customer analytics, risk and compliance management, recommendation engines, route optimization, fraud detection, and others. Fraud detection dominated the Graph Analytics Market in 2020. The number of fraudulent assaults is on the rise, as are electronic transactions in many industries. In addition, cyber-attacks are also becoming more sophisticated. However, route optimization is the fastest-growing over the forecast period, with a CAGR of 34.8%. In addition, due to the verticals such as supply chain and logistics, transportation, and retail and eCommerce, there is a rising demand to discover the shortest and safest path.
The Asia Pacific to account for the largest market share during the forecast period
North America held the largest share of the Graph Analytics Market in 2020, with a global market share of 36.9%. The rapid expansion in North America may be attributed to the expanding usage of big data technologies, a growing volume of data across the end-user, and rising corporate investments in real-time analytics. As a result, in 2020, this will account for the bulk of the Graph Analytics Market Share.
The Asia Pacific is set to be the fastest-growing Graph, Analytics Market. This is because developing nations are taking possibilities to go beyond guaranteeing compliance and using technology to combat illicit financial flows that endanger customers and communities.
Market Dynamics
Driver: Increase demand to Analyze Low- Latency Queries drive the Graph Analytics Market.
Message rate isn't always as significant as latency. It's tough to build apps that properly prefetch data before it's needed because the data isn't always available to fetch or deliver until it's needed right away. Low data request latency is becoming increasingly important as a result of this. While latency may be easily assessed at modest scales, such as two-node testing, what matters most to applications is how latency behaves as cluster size and application node count rise. This can be solved using Graph Analytics and a model. As a result, the demand for Graph Analytics Market is increasing.
Challenge: Lack of standardization is restraining the market growth.
Each graph database vendor has created its syntax or language for updates and queries. Every vendor claims to have the best language. Most vendors support Gremlin, SPARQL, or Cypher in some form. This lack of standardization makes it harder to transition from one product to the next and increases the expense of training employees in a particular language. For updates and queries, all relational databases support the standard SQL language. Even though several vendors have enhanced SQL, every vendor supports the fundamental SQL language. This uniformity makes it simple to locate and hire skilled personnel.
Key Market Players
Key Players in the Global Graph Analytics Market consist of Amazon Web Services, DataStax Inc., International Business Machines Corporation, Lynx Analytics, Microsoft Corporation, Neo4j, Oracle Corporation, Teradata Corporation, and TigerGraph Inc., among Others.
Developments
In May 2019, Microsoft Graph was improved, according to the company. For example, it offered the Microsoft Graph data connect capability, a service that links Microsoft Graph analytics data with clients' business data.
Report Coverage and Scope
The report "Global Graph Analytics Market" by Research Informatic covers an in-depth detailed analysis for the following segment covered under the scope.
By Component
By Deployment Mode
By Organization Size
By Applications
By Vertical
By Geography
Global Graph Analytics Market Growth, Trend and Forecast 2020-2028
Chapter 1 Graph Analytics Market Overview
1.1 Product Overview and Scope of Graph Analytics
1.2 Graph Analytics Market Segmentation by Type
1.2.1 Global Production Market Share of Graph Analytics by Type in 2019
1.2.1 Type 1
1.2.2 Type 2
1.2.3 Type 3
1.3 Graph Analytics Market Segmentation by Application
1.3.1 Graph Analytics Consumption Market Share by Application in 2019
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Graph Analytics Market Segmentation by Regions
1.4.1 North America
1.4.2 China
1.4.3 Europe
1.4.4 Southeast Asia
1.4.5 Japan
1.4.6 India
1.5 Global Market Size (Value) of Graph Analytics (2014-2028)
Chapter 2 Global Economic Impact on Graph Analytics Industry
2.1 Global Macroeconomic Environment Analysis
2.1.1 Global Macroeconomic Analysis
2.1.2 Global Macroeconomic Environment Development Trend
2.2 Global Macroeconomic Environment Analysis by Regions
Chapter 3 Global Graph Analytics Market Competition by Manufacturers
3.1 Global Graph Analytics Production and Share by Manufacturers (2019 and 2019)
3.2 Global Graph Analytics Revenue and Share by Manufacturers (2019 and 2019)
3.3 Global Graph Analytics Average Price by Manufacturers (2019 and 2019)
3.4 Manufacturers Graph Analytics Manufacturing Base Distribution, Production Area and Product Type
3.5 Graph Analytics Market Competitive Situation and Trends
3.5.1 Graph Analytics Market Concentration Rate
3.5.2 Graph Analytics Market Share of Top 3 and Top 5 Manufacturers
3.5.3 Mergers & Acquisitions, Expansion
Chapter 4 Global Graph Analytics Production, Revenue (Value) by Region (2014-2020)
4.1 Global Graph Analytics Production by Region (2014-2020)
4.2 Global Graph Analytics Production Market Share by Region (2014-2020)
4.3 Global Graph Analytics Revenue (Value) and Market Share by Region (2014-2020)
4.4 Global Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.5 North America Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.6 Europe Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.7 China Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.8 Japan Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.9 Southeast Asia Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.10 India Graph Analytics Production, Revenue, Price and Gross Margin (2014-2020)
Chapter 5 Global Graph Analytics Supply (Production), Consumption, Export, Import by Regions (2014-2020)
5.1 Global Graph Analytics Consumption by Regions (2014-2020)
5.2 North America Graph Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.3 Europe Graph Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.4 China Graph Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.5 Japan Graph Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.6 Southeast Asia Graph Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.7 India Graph Analytics Production, Consumption, Export, Import by Regions (2014-2020)
Chapter 6 Global Graph Analytics Production, Revenue (Value), Price Trend by Type
6.1 Global Graph Analytics Production and Market Share by Type (2014-2020)
6.2 Global Graph Analytics Revenue and Market Share by Type (2014-2020)
6.3 Global Graph Analytics Price by Type (2014-2020)
6.4 Global Graph Analytics Production Growth by Type (2014-2020)
Chapter 7 Global Graph Analytics Market Analysis by Application
7.1 Global Graph Analytics Consumption and Market Share by Application (2014-2020)
7.2 Global Graph Analytics Consumption Growth Rate by Application (2014-2020)
7.3 Market Drivers and Opportunities
7.3.1 Potential Applications
7.3.2 Emerging Markets/Countries
Chapter 8 Graph Analytics Manufacturing Cost Analysis
8.1 Graph Analytics Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trend of Key Raw Materials
8.1.3 Key Suppliers of Raw Materials
8.1.4 Market Concentration Rate of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Graph Analytics
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Graph Analytics Industrial Chain Analysis
9.2 Upstream Raw Materials Sourcing
9.3 Raw Materials Sources of Graph Analytics Major Manufacturers in 2019
9.4 Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List
Chapter 11 Market Effect Factors Analysis
11.1 Technology Progress/Risk
11.1.1 Substitutes Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/Customer Preference Change
11.3 Economic/Political Environmental Change
Chapter 12 Global Graph Analytics Market Forecast (2020-2028)
12.1 Global Graph Analytics Production, Revenue Forecast (2020-2028)
12.2 Global Graph Analytics Production, Consumption Forecast by Regions (2020-2028)
12.3 Global Graph Analytics Production Forecast by Type (2020-2028)
12.4 Global Graph Analytics Consumption Forecast by Application (2020-2028)
12.5 Graph Analytics Price Forecast (2020-2028)
Chapter 13 Appendix
Published On:May 2022
Base Year:2021
Historical Data:2018 - 2020
No of Pages:250
Graph Analytics Market Size, Share & Trends Analys...
RD Code : IT22