Network Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Network Analytics Market
The Network Analytics market size was valued at USD 2.25 billion in 2023, and the market is now expected to grow from USD 2.72 billion in 2024 to USD 14.02 billion by 2032, exhibiting a CAGR of 22.8% during the forecast period of 2024-2032.
During the COVID-19 crisis, we see an increased demand for network and data analytics solutions in IT companies. This is because of the need for better data security networks, forensic investigation processes tuning up performance as well as performing prediction traffic in Network Analytics market growth.
Market growth is propelled by cloud based solutions’ scalability, flexibility, and real time insights that enhance security by major companies’ increased adoption of cloud computing in network analytics. As a result of this change, they can handle large volumes efficiently which in turn enables them to expand the Network Analytic market share with ease.
The vast range of information obtained from connected devices tremendously boosts network analytics in the Internet of Things. Optimization of performance, enhancement of safety and increase of efficiency are some of the areas in which network analytics has been used this information. In ensuring that there is uninterrupted network operation and increased utility from the integration of IOT however, one has to look at patterns, deviations and make decisions based on data.
Comprehensive Network Analytics Market
The Network Analytics market is growing at an exponential rate due to its market segmentation. These segmentations are methodically segregated by Component Analysis, by Network Type Analysis, by End-User Analysis. The Component Analysis includes solutions and services. The Network Type Analysis includes enterprise and telecom network. The End User Analysis includes organizations, enterprises, businesses, telecom companies, and data centers.
The North America region lead the Network Analytics market by benefitting a market size of USD 0.98 billion in 2023 due to the increasing availability of technology and infrastructure in the region is expected to contribute to market growth.
The top players in the market play a crucial role in the Information & Communication Technology industry assuring industrial prospectus development and setting market standards. These players include, Cisco Systems, Inc. (U.S.), Nokia Corporation (Finland), Juniper Networks (U.S.), VMware, Inc. (U.S.), Vehere, Inc. (U.S.), IBM Corporation (U.S.), Subex (India), Plixer, LLC. (U.S.), Cynet (U.S.), Aruta Networks (U.S.) these market players provide a competitive landscape.
In September 2023, Ericsson expanded its Ericsson Expert Analytics product, which offered advanced troubleshooting features. It is these advanced troubleshooting that made use of AI and machine learning tools to evaluate telecommunications network data in present and identify the cause of any issues for troubleshooting purposes.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2019-2032
Base Year 2023
Estimated Year 2024
Forecast Period 2024-2032
Historical Period 2019-2022
Growth Rate CAGR of 22.8% from 2024 to 2032
Unit Value (USD billion)
Segmentation By Component
Solution
Services
By Network Type
Enterprise Network
- Cloud
- On-premise
- Hybrid
Telecom Network
By End User
Organizations, Enterprises, Businesses
- SMEs
- Large Enterprise
Telecom Companies
Data Centers
By Region
North America (By Component, By Network Type, By End User, and By Country)
- U.S.
- Canada
- Mexico
South America (By Component, By Network Type, By End User, and By Country)
- Brazil
- Argentina
- Rest of South America
Europe (By Component, By Network Type, By End User, and By Country)
- U.K.
- Germany
- France
- Italy
- Spain
- Russia
- Benelux
- Nordics
- Rest of Europe
Middle East & Africa (By Component, By Network Type, By End User, and By Country)
- Turkey
- Israel
- GCC
- North Africa
- South Africa
- Rest of the Middle East & Africa
Asia Pacific (By Component, By Network Type, By End User, and By Country)
- China
- Japan
- India
- South Korea
- ASEAN
- Oceania
- Rest of Asia Pacific
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- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Global Supply Chain Analytics Key Players Market Share/Ranking, 2023
- 5. Global Supply Chain Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 5.1. Key Findings
- 5.2. By Deployment (USD)
- 5.2.1. On-premise
- 5.2.2. Cloud-based
- 5.3. By Enterprise Type (USD)
- 5.3.1. SMEs
- 5.3.2. Large Enterprises
- 5.4. By Application (USD)
- 5.4.1. Demand Planning
- 5.4.2. Inventory Analytics
- 5.4.3. Procurement Analytics
- 5.4.4. Logistics Analytics
- 5.4.5. Others (Order Analytics)
- 5.5. By Industry (USD)
- 5.5.1. Healthcare
- 5.5.2. Retail & E-commerce
- 5.5.3. Transportation & Logistics
- 5.5.4. Automotive
- 5.5.5. Manufacturing
- 5.5.6. Oil & Gas
- 5.5.7. Chemical
- 5.5.8. Others (Energy & Utility, Pharmaceutical)
- 5.6. By Region (USD)
- 5.6.1. North America
- 5.6.2. Europe
- 5.6.3. Asia Pacific
- 5.6.4. Middle East & Africa
- 5.6.5. South America
- 6. North America Supply Chain Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 6.1. Key Findings
- 6.2. By Deployment (USD)
- 6.2.1. On-premise
- 6.2.2. Cloud-based
- 6.3. By Enterprise Type (USD)
- 6.3.1. SMEs
- 6.3.2. Large Enterprises
- 6.4. By Application (USD)
- 6.4.1. Demand Planning
- 6.4.2. Inventory Analytics
- 6.4.3. Procurement Analytics
- 6.4.4. Logistics Analytics
- 6.4.5. Others (Order Analytics)
- 6.5. By Industry (USD)
- 6.5.1. Healthcare
- 6.5.2. Retail & E-commerce
- 6.5.3. Transportation & Logistics
- 6.5.4. Automotive
- 6.5.5. Manufacturing
- 6.5.6. Oil & Gas
- 6.5.7. Chemical
- 6.5.8. Others (Energy & Utility, Pharmaceutical)
- 6.6. By Country (USD)
- 6.6.1. United States
- 6.6.1.1. By Industry
- 6.6.2. Canada
- 6.6.2.1. By Industry
- 6.6.3. Mexico
- 6.6.3.1. By Industry
- 7. Europe Supply Chain Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 7.1. Key Findings
- 7.2. By Deployment (USD)
- 7.2.1. On-premise
- 7.2.2. Cloud-based
- 7.3. By Enterprise Type (USD)
- 7.3.1. SMEs
- 7.3.2. Large Enterprises
- 7.4. By Application (USD)
- 7.4.1. Demand Planning
- 7.4.2. Inventory Analytics
- 7.4.3. Procurement Analytics
- 7.4.4. Logistics Analytics
- 7.4.5. Others (Order Analytics)
- 7.5. By Industry (USD)
- 7.5.1. Healthcare
- 7.5.2. Retail & E-commerce
- 7.5.3. Transportation & Logistics
- 7.5.4. Automotive
- 7.5.5. Manufacturing
- 7.5.6. Oil & Gas
- 7.5.7. Chemical
- 7.5.8. Others (Energy & Utility, Pharmaceutical)
- 7.6. By Country (USD)
- 7.6.1. United Kingdom
- 7.6.1.1. By Industry
- 7.6.2. Germany
- 7.6.2.1. By Industry
- 7.6.3. France
- 7.6.3.1. By Industry
- 7.6.4. Italy
- 7.6.4.1. By Industry
- 7.6.5. Spain
- 7.6.5.1. By Industry
- 7.6.6. Russia
- 7.6.6.1. By Industry
- 7.6.7. Benelux
- 7.6.7.1. By Industry
- 7.6.8. Nordics
- 7.6.8.1. By Industry
- 7.6.9. Rest of Europe
- 8. Asia Pacific Supply Chain Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 8.1. Key Findings
- 8.2. By Deployment (USD)
- 8.2.1. On-premise
- 8.2.2. Cloud-based
- 8.3. By Enterprise Type (USD)
- 8.3.1. SMEs
- 8.3.2. Large Enterprises
- 8.4. By Application (USD)
- 8.4.1. Demand Planning
- 8.4.2. Inventory Analytics
- 8.4.3. Procurement Analytics
- 8.4.4. Logistics Analytics
- 8.4.5. Others (Order Analytics)
- 8.5. By Industry (USD)
- 8.5.1. Healthcare
- 8.5.2. Retail & E-commerce
- 8.5.3. Transportation & Logistics
- 8.5.4. Automotive
- 8.5.5. Manufacturing
- 8.5.6. Oil & Gas
- 8.5.7. Chemical
- 8.5.8. Others (Energy & Utility, Pharmaceutical)
- 8.6. By Country (USD)
- 8.6.1. China
- 8.6.1.1. By Industry
- 8.6.2. Japan
- 8.6.2.1. By Industry
- 8.6.3. India
- 8.6.3.1. By Industry
- 8.6.4. South Korea
- 8.6.4.1. By Industry
- 8.6.5. ASEAN
- 8.6.5.1. By Industry
- 8.6.6. Oceania
- 8.6.6.1. By Industry
- 8.6.7. Rest of Asia Pacific
- 9. Middle East & Africa Supply Chain Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 9.1. Key Findings
- 9.2. By Deployment (USD)
- 9.2.1. On-premise
- 9.2.2. Cloud-based
- 9.3. By Enterprise Type (USD)
- 9.3.1. SMEs
- 9.3.2. Large Enterprises
- 9.4. By Application (USD)
- 9.4.1. Demand Planning
- 9.4.2. Inventory Analytics
- 9.4.3. Procurement Analytics
- 9.4.4. Logistics Analytics
- 9.4.5. Others (Order Analytics)
- 9.5. By Industry (USD)
- 9.5.1. Healthcare
- 9.5.2. Retail & E-commerce
- 9.5.3. Transportation & Logistics
- 9.5.4. Automotive
- 9.5.5. Manufacturing
- 9.5.6. Oil & Gas
- 9.5.7. Chemical
- 9.5.8. Others (Energy & Utility, Pharmaceutical)
- 9.6. By Country (USD)
- 9.6.1. Turkey
- 9.6.1.1. By Industry
- 9.6.2. Israel
- 9.6.2.1. By Industry
- 9.6.3. GCC
- 9.6.3.1. By Industry
- 9.6.4. North Africa
- 9.6.4.1. By Industry
- 9.6.5. South Africa
- 9.6.5.1. By Industry
- 9.6.6. Rest of MEA
- 10. South America Supply Chain Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 10.1. Key Findings
- 10.2. By Deployment (USD)
- 10.2.1. On-premise
- 10.2.2. Cloud-based
- 10.3. By Enterprise Type (USD)
- 10.3.1. SMEs
- 10.3.2. Large Enterprises
- 10.4. By Application (USD)
- 10.4.1. Demand Planning
- 10.4.2. Inventory Analytics
- 10.4.3. Procurement Analytics
- 10.4.4. Logistics Analytics
- 10.4.5. Others (Order Analytics)
- 10.5. By Industry (USD)
- 10.5.1. Healthcare
- 10.5.2. Retail & E-commerce
- 10.5.3. Transportation & Logistics
- 10.5.4. Automotive
- 10.5.5. Manufacturing
- 10.5.6. Oil & Gas
- 10.5.7. Chemical
- 10.5.8. Others (Energy & Utility, Pharmaceutical)
- 10.6. By Country (USD)
- 10.6.1. Brazil
- 10.6.1.1. By Industry
- 10.6.2. Argentina
- 10.6.2.1. By Industry
- 10.6.3. Rest of South America
- 11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
- 11.1. IBM Corporation
- 11.1.1. Overview
- 11.1.1.1. Key Management
- 11.1.1.2. Headquarters
- 11.1.1.3. Offerings/Business Segments
- 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.1.2.1. Employee Size
- 11.1.2.2. Past and Current Revenue
- 11.1.2.3. Geographical Share
- 11.1.2.4. Business Segment Share
- 11.1.2.5. Recent Developments
- 11.2. Mecalux, S.A.
- 11.2.1. Overview
- 11.2.1.1. Key Management
- 11.2.1.2. Headquarters
- 11.2.1.3. Offerings/Business Segments
- 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.2.2.1. Employee Size
- 11.2.2.2. Past and Current Revenue
- 11.2.2.3. Geographical Share
- 11.2.2.4. Business Segment Share
- 11.2.2.5. Recent Developments
- 11.3. Analytics8, LLC
- 11.3.1. Overview
- 11.3.1.1. Key Management
- 11.3.1.2. Headquarters
- 11.3.1.3. Offerings/Business Segments
- 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.3.2.1. Employee Size
- 11.3.2.2. Past and Current Revenue
- 11.3.2.3. Geographical Share
- 11.3.2.4. Business Segment Share
- 11.3.2.5. Recent Developments
- 11.4. SS Supply Chain Solutions Pvt Ltd. (3SCSolutions)
- 11.4.1. Overview
- 11.4.1.1. Key Management
- 11.4.1.2. Headquarters
- 11.4.1.3. Offerings/Business Segments
- 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.4.2.1. Employee Size
- 11.4.2.2. Past and Current Revenue
- 11.4.2.3. Geographical Share
- 11.4.2.4. Business Segment Share
- 11.4.2.5. Recent Developments
- 11.5. Sigmoid Analytics
- 11.5.1. Overview
- 11.5.1.1. Key Management
- 11.5.1.2. Headquarters
- 11.5.1.3. Offerings/Business Segments
- 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.5.2.1. Employee Size
- 11.5.2.2. Past and Current Revenue
- 11.5.2.3. Geographical Share
- 11.5.2.4. Business Segment Share
- 11.5.2.5. Recent Developments
- 11.6. Accenture
- 11.6.1. Overview
- 11.6.1.1. Key Management
- 11.6.1.2. Headquarters
- 11.6.1.3. Offerings/Business Segments
- 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.6.2.1. Employee Size
- 11.6.2.2. Past and Current Revenue
- 11.6.2.3. Geographical Share
- 11.6.2.4. Business Segment Share
- 11.6.2.5. Recent Developments
- 11.7. Oracle Corporation
- 11.7.1. Overview
- 11.7.1.1. Key Management
- 11.7.1.2. Headquarters
- 11.7.1.3. Offerings/Business Segments
- 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.7.2.1. Employee Size
- 11.7.2.2. Past and Current Revenue
- 11.7.2.3. Geographical Share
- 11.7.2.4. Business Segment Share
- 11.7.2.5. Recent Developments
- 11.8. SAP SE
- 11.8.1. Overview
- 11.8.1.1. Key Management
- 11.8.1.2. Headquarters
- 11.8.1.3. Offerings/Business Segments
- 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.8.2.1. Employee Size
- 11.8.2.2. Past and Current Revenue
- 11.8.2.3. Geographical Share
- 11.8.2.4. Business Segment Share
- 11.8.2.5. Recent Developments
- 11.9. SAS Institute Inc.
- 11.9.1. Overview
- 11.9.1.1. Key Management
- 11.9.1.2. Headquarters
- 11.9.1.3. Offerings/Business Segments
- 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.9.2.1. Employee Size
- 11.9.2.2. Past and Current Revenue
- 11.9.2.3. Geographical Share
- 11.9.2.4. Business Segment Share
- 11.9.2.5. Recent Developments
- 11.10. Manhattan Associates
- 11.10.1. Overview
- 11.10.1.1. Key Management
- 11.10.1.2. Headquarters
- 11.10.1.3. Offerings/Business Segments
- 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.10.2.1. Employee Size
- 11.10.2.2. Past and Current Revenue
- 11.10.2.3. Geographical Share
- 11.10.2.4. Business Segment Share
- 11.10.2.5. Recent Developments
- 12. Key Takeaways
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