Market Overview:
The global artificial intelligence in computer networks market is expected to grow at a CAGR of 27.5% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for artificial intelligence in networking applications such as network functions virtualization (NFV), 5G networks, and IoT technology. Additionally, the growing adoption of artificial intelligence in other sectors such as retail, automotive, and healthcare is also contributing to the growth of this market. However, lack of awareness about artificial intelligence among end-users may restrain the growth of this market during the forecast period. On basis on type, networking equipment accounted for majority share in global AI computer networks market in 2017 and is expected to maintain its dominance throughout forecast period owing to rising demand for advanced networking solutions across various industry verticals. On basis on application type; NFV was largest segment with highest CAGR over next 10 years due increased adoption by telecom operators for efficient & agile service delivery .Whereas 5G network deployments are gaining traction globally with number carriers planning trials or commercial deployment by 2019 end .
Product Definition:
Artificial intelligence is the ability of a computer program to learn and work on its own, making decisions based on data it has analyzed. It is used in computer networks to help manage traffic, optimize resources, and prevent security breaches.
Networking Equipment:
Network equipment includes devices and components that are used to build computer networks. Networking equipment is widely used in enterprise data centers, residential homes, small businesses, large businesses and public access networks such as Wi-Fi. The growth of the global networking market can be attributed to several factors including increasing demand for cloud computing services along with a surge in the adoption of virtualized technology among enterprises.
Platforms:
Platforms are software or hardware systems that provide an environment or framework for the development, integration, and execution of computer programs. The term platform has been used in different ways over the years; however, in recent times it has acquired a more specific meaning. It is now commonly used to refer to a collection of technologies that can be combined to build applications for a certain purpose.
Application Insights:
The network functions virtualization (NFV) segment dominated the market in 2017 and is expected to continue its dominance over the forecast period. The NFV concept enables a substantial reduction in costs, time as well as resources required for designing, manufacturing and deploying of hardware. This technology has enabled telecom companies to offer low-cost internet access services while simultaneously improving service quality. Moreover, this approach can also be used to provide high-speed wireless data connectivity across a large area using fewer resources.
The 5G networks segment is anticipated to witness lucrative growth over the forecast period owing to increasing demand for advanced communication systems from various industries such as telecommunication, healthcare and military & defense among others. The rapid development of IoT technology has led major companies such as Google Inc., Microsoft Corporation., Amazon Web Services Inc., IBM Corporation., etc.to establish partnerships with various other companies including AT&T Inc.; Facebook; Apple; Samsung Electronics Co.; Huawei Technologies Co Ltd.; Baidu Inc.; etc.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period. The growth can be attributed to increasing investments by telecom companies and other organizations for deploying artificial intelligence-based technologies. For instance, in February 2017, AT&T Inc. announced its plans of deploying 5G network infrastructure based on the Qualcomm Technologies' millimeter-wave technology platform and software with Intel Corporation's AI computing architecture.
The Asia Pacific region accounted for more than 35% of total market share in 2016 and is estimated to continue leading through 2030 owing to increasing adoption across several sectors such as manufacturing, healthcare & life sciences, banking & finance, transportation & logistics (T&L), among others in countries such as China (23%), Japan (7%) India (5%) South Korea (4%). Moreover high demand from emerging economies coupled with increased spending on telecommunication sector has led major players including Huawei Technologies Co.
Growth Factors:
- Increasing demand for AI-enabled network security solutions to protect enterprises from cyber threats
- Proliferation of connected devices and the Internet of Things (IoT) is driving the need for AI-powered network management and analytics solutions
- The increasing popularity of voice and chatbots is fueling the demand for AI-powered customer service applications
- Growing demand for predictive maintenance and fault detection in industrial networks
- Rapid expansion of 5G networks is creating opportunities for deployment of AI-powered network optimization solutions
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence in Computer Networks Market Research Report
By Type
Networking Equipment, Platforms, Services
By Application
Network Functions Virtualization (NFV), 5G Networks, IoT Technology, Others
By Companies
Cisco Systems, Hewlett Packard Enterprise (HPE), IBM Corporation, Samsung Electronics Co Ltd, Baidu, Nvidia, Google, Microsoft Corporation, Dell, Nokia Corporation, Arm Holdings, Intel, Qualcomm, PTC Corporation, Huawei, ZTE, Ericsson AB, Fujitsu, NEC Corporation, Juniper Networks
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
230
Number of Tables & Figures
161
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence in Computer Networks Market Report Segments:
The global Artificial Intelligence in Computer Networks market is segmented on the basis of:
Types
Networking Equipment, Platforms, Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Network Functions Virtualization (NFV), 5G Networks, IoT Technology, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Cisco Systems
- Hewlett Packard Enterprise (HPE)
- IBM Corporation
- Samsung Electronics Co Ltd
- Baidu
- Nvidia
- Google
- Microsoft Corporation
- Dell
- Nokia Corporation
- Arm Holdings
- Intel
- Qualcomm
- PTC Corporation
- Huawei
- ZTE
- Ericsson AB
- Fujitsu
- NEC Corporation
- Juniper Networks
Highlights of The Artificial Intelligence in Computer Networks Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Networking Equipment
- Platforms
- Services
- By Application:
- Network Functions Virtualization (NFV)
- 5G Networks
- IoT Technology
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence in Computer Networks Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence (AI) is a field of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research focuses on creating algorithms and software that allows computers to achieve goals such as understanding natural language or recognizing objects.
Some of the key players operating in the artificial intelligence in computer networks market are Cisco Systems, Hewlett Packard Enterprise (HPE), IBM Corporation, Samsung Electronics Co Ltd, Baidu, Nvidia, Google, Microsoft Corporation, Dell, Nokia Corporation, Arm Holdings, Intel, Qualcomm, PTC Corporation, Huawei, ZTE, Ericsson AB, Fujitsu, NEC Corporation, Juniper Networks.
The artificial intelligence in computer networks market is expected to grow at a compound annual growth rate of 27.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Computer Networks Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence in Computer Networks Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence in Computer Networks Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence in Computer Networks Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence in Computer Networks Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence in Computer Networks Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence in Computer Networks Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in Computer Networks Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence in Computer Networks Market Size Forecast by Type
5.2.1 Networking Equipment
5.2.2 Platforms
5.2.3 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence in Computer Networks Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence in Computer Networks Market Size Forecast by Applications
6.2.1 Network Functions Virtualization (NFV)
6.2.2 5G Networks
6.2.3 IoT Technology
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence in Computer Networks Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence in Computer Networks Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence in Computer Networks Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence in Computer Networks Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence in Computer Networks Market Size Forecast by Type
9.6.1 Networking Equipment
9.6.2 Platforms
9.6.3 Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence in Computer Networks Market Size Forecast by Applications
9.10.1 Network Functions Virtualization (NFV)
9.10.2 5G Networks
9.10.3 IoT Technology
9.10.4 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence in Computer Networks Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence in Computer Networks Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence in Computer Networks Market Size Forecast by Type
10.6.1 Networking Equipment
10.6.2 Platforms
10.6.3 Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence in Computer Networks Market Size Forecast by Applications
10.10.1 Network Functions Virtualization (NFV)
10.10.2 5G Networks
10.10.3 IoT Technology
10.10.4 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence in Computer Networks Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence in Computer Networks Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence in Computer Networks Market Size Forecast by Type
11.6.1 Networking Equipment
11.6.2 Platforms
11.6.3 Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence in Computer Networks Market Size Forecast by Applications
11.10.1 Network Functions Virtualization (NFV)
11.10.2 5G Networks
11.10.3 IoT Technology
11.10.4 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence in Computer Networks Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence in Computer Networks Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence in Computer Networks Market Size Forecast by Type
12.6.1 Networking Equipment
12.6.2 Platforms
12.6.3 Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence in Computer Networks Market Size Forecast by Applications
12.10.1 Network Functions Virtualization (NFV)
12.10.2 5G Networks
12.10.3 IoT Technology
12.10.4 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence in Computer Networks Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence in Computer Networks Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence in Computer Networks Market Size Forecast by Type
13.6.1 Networking Equipment
13.6.2 Platforms
13.6.3 Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence in Computer Networks Market Size Forecast by Applications
13.10.1 Network Functions Virtualization (NFV)
13.10.2 5G Networks
13.10.3 IoT Technology
13.10.4 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence in Computer Networks Market: Competitive Dashboard
14.2 Global Artificial Intelligence in Computer Networks Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cisco Systems
14.3.2 Hewlett Packard Enterprise (HPE)
14.3.3 IBM Corporation
14.3.4 Samsung Electronics Co Ltd
14.3.5 Baidu
14.3.6 Nvidia
14.3.7 Google
14.3.8 Microsoft Corporation
14.3.9 Dell
14.3.10 Nokia Corporation
14.3.11 Arm Holdings
14.3.12 Intel
14.3.13 Qualcomm
14.3.14 PTC Corporation
14.3.15 Huawei
14.3.16 ZTE
14.3.17 Ericsson AB
14.3.18 Fujitsu
14.3.19 NEC Corporation
14.3.20 Juniper Networks
