Artificial Intelligence In Telecommunication Market
Artificial Intelligence in Telecommunication Market Forecasts to 2028 - Global Analysis By Component (Solution and Service), Deployment Mode (Cloud and On-Premise), Technology, Application and By Geography
|
Years Covered |
2020-2028 |
|
Estimated Year Value (2022) |
US $1.6 BN |
|
Projected Year Value (2028) |
US $13.5 BN |
|
CAGR (2022 - 2028) |
41.4% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Asia Pacific |
According to Stratistics MRC, the Global Artificial Intelligence in Telecommunication Market is accounted for $1.6 billion in 2022 and is expected to reach $13.5 billion by 2028 growing at a CAGR of 41.4% during the forecast period. In order to analyse massive data, such as data consumption, call history, and application use, artificial intelligence in telecom employs software and algorithms to estimate human perception. This helps to enhance the customer experience. Additionally, AI aids telecommunications companies in the detection of network faults, network security, network optimisation, and provision of virtual support.
According to Cisco Systems Inc, the volume of big data is poised to increase from 51 exabytes in 2016 to 403 exabytes in the last year, representing a growth rate of almost seven times.
Market Dynamics:
Driver:
AI technologies are being more widely used in telecom applications
As telecom corporations prioritised network maintenance, artificial intelligence in the telecommunications industry is gaining pace and acceptance. The company's lack of integrity and disrespect for its customers are exposed by a network outage. Additionally, the firm suffers financial losses as a result of network failure. Therefore, AI is being used to address this problem, as telecom businesses can quickly identify the issue using AI, there is a growing need for artificial intelligence in the telecommunications industry.
Restraint:
AI technology and telecommunications networks are incompatible
During the forecast period, issues with compatibility, the unreliability of artificial intelligence algorithms, a lack of skilled labour, and challenges with the protection of sensitive data are the main obstacles to the growth of AI in the telecommunications market. Due to potential complications with the integration of artificial intelligence in telecommunication solutions, compatibility issues are what essentially limit the growth of the worldwide artificial intelligence in telecommunication market.
Opportunity:
The advent of 5G technology in smartphones
The transition from fourth generation (4G) to fifth generation (5G) mobile communications is now taking place in the telecom sector. With extremely low latency rates, 5G technology is predicted to offer faster data transfer speeds. Additionally, telecom firms are constructing the infrastructure necessary to service every industry controlled by the Internet of Things (IoT). By fusing the analytics, AI/machine learning, and networking capabilities of Google Cloud with the 5G network capabilities of AT&T Intellectual Property, both firms are building 5G solutions.
Threat:
Insufficient or low-quality data
AI systems work by being trained on a collection of data that is pertinent to the problem at hand. However, businesses frequently struggle to feed their AI algorithms with the correct kind or quantity of data because they lack access to it or it isn't currently available. When using AI system, this imbalance may produce inconsistent or even discriminating outcomes may avoid this problem, sometimes referred to as the bias problem, by making sure use representative and high-quality data. ongoing AI training programme for staff, and presumably modernise IT infrastructure so that it can manage the demands of r machine learning tools if want to do it correctly. Even while some of these expenses can't be avoided, absolutely cut them down by looking into free or low-cost training programmes. Before investing money to buy them, there are a number of solutions that might assist determine which AI capabilities r training programme will benefit from.
Covid-19 Impact
Due to the dramatically increased digital penetration during the time of COVID-19-induced lockdowns and strict social distancing policies, which further fueled the demand for remote operational tools like artificial intelligence tools, the global AI in telecommunication market analysis has experienced stable growth during the COVID-19 pandemic. More than any other occurrence in human history, the Coronavirus/COVID-19 pandemic has further underscored the crucial role that telecommunications infrastructure plays in keeping organisations, governments, and communities linked and operating.
The data analytics segment is expected to be the largest during the forecast period
The data analytics segment is estimated to have a lucrative growth. Data analytics is increasingly carried out with the use of specialised hardware and software. In order to help businesses, make better business decisions, data analytics technologies and methodologies are widely employed in the commercial sector. Analytics tools are also used by scientists and researchers to support or refute scientific models, ideas, and hypotheses. Businesses may employ data analytics to inform decision-making and reduce financial losses. Data analytics may help organisations increase operational effectiveness. An organisation may use data analytics to better evaluate hazards and implement preventative actions which propels the growth of the market.
The virtual assistance segment is expected to have the highest CAGR during the forecast period
The virtual assistance segment is anticipated to witness the highest CAGR growth during the forecast period, due to the enormous savings that customer service automation provides telecom firms; the virtual help category is anticipated to have the quickest growth throughout the projected period. In the communication sector, customer care chatbots may also be properly educated since machine learning algorithms can automate queries and direct consumers to the best representative. Operators may gather and examine consumer data from the viewpoint of a subscriber thanks to artificial intelligence.
Region with highest share:
North America is projected to hold the highest market share during the forecast period owing to the expansion of the region by the increasing number of telecom businesses that use automation and AI for network optimisation and customer care. For instance, AT&T Intellectual Property introduced mobile 5G with edge AI computing in the United States in 2018. The AI network security solutions from CUJO LLC are being used by telecom service providers in the US to safeguard their networks.
Region with highest CAGR:
Asia Pacific is projected to have the highest CAGR over the forecast period, owing to the quickening pace of technical development in developing nations like China and India is blamed for this expansion. For instance, China Telecom Corporation Ltd., a supplier of internet access and mobile telecommunications services, collaborates with Huawei Technologies Co., Ltd., a global provider of telecoms equipment and consumer electronics. This partnership is expected to investigate wireless network cell anomaly detection and radio cell capacity prediction based on the Network AI Engine (NAIE).
Key players in the market
Some of the key players profiled in the Artificial Intelligence In Telecommunication Market include Intel Corporation, ZTE Corporation, IBM Corporation, Google LLC, Microsoft, Salesforce, Inc, Cisco Systems, Inc, AT&T, Infosys Limited, Evolv Technology Solutions, Inc., NVIDIA Corporation, Wipro Limited, AIBrain LLC, SoundHound Inc., Visenze Pte Ltd, Twilio, Inc and Amazon Web Services Inc.
Key Developments:
In May 2023, Intel and SAP Embark on Strategic Collaboration to Expand Cloud Capabilities the collaboration deepens Intel’s focus on delivering extremely powerful and secure instances for SAP, powered by 4th Gen Intel® Xeon® Scalable processors.
In April 2023, Intel Foundry and Arm Announce Multigeneration Collaboration on Leading-Edge SoC Design, the collaboration will focus on mobile SoC designs first, but allow for potential design expansion into automotive, Internet of Things (IoT), data center, aerospace and government applications.
In April 2023, IBM Launches New QRadar Security Suite to Speed Threat Detection and Response, expansion of the QRadar brand, spanning all core threat detection, investigation and response technologies, with significant investment in innovations across the portfolio.
Components Covered:
• Solution
• Service
Deployment Modes Covered:
• Cloud
• On-Premise
Technologies Covered:
• Data Analytics
• Machine Learning
• Natural Language Processing (NLP)
• Other Technologies
Applications Covered:
• Network Security
• Customer Analytics
• Self-Diagnostics
• Network Optimization
• Virtual Assistance
• Other Applications
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence in Telecommunication Market, By Component
5.1 Introduction
5.2 Solution
5.3 Service
5.3.1 Professional Services
5.3.2 Managed Services
6 Global Artificial Intelligence in Telecommunication Market, By Deployment Mode
6.1 Introduction
6.2 Cloud
6.3 On-Premise
7 Global Artificial Intelligence in Telecommunication Market, By Technology
7.1 Introduction
7.2 Data Analytics
7.3 Machine Learning
7.4 Natural Language Processing (NLP)
7.5 Other Technologies
8 Global Artificial Intelligence in Telecommunication Market, By Application
8.1 Introduction
8.2 Network Security
8.3 Customer Analytics
8.4 Self-Diagnostics
8.5 Network Optimization
8.6 Virtual Assistance
8.7 Other Applications
9 Global Artificial Intelligence in Telecommunication Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 Intel Corporation
11.2 ZTE Corporation
11.3 IBM Corporation
11.4 Google LLC
11.5 Microsoft
11.6 Salesforce, Inc
11.7 Cisco Systems, Inc
11.8 AT&T
11.9 Infosys Limited
11.10 Evolv Technology Solutions, Inc.
11.11 NVIDIA Corporation
11.12 Wipro Limited
11.11 AIBrain LLC
11.14 SoundHound Inc.
11.15 Visenze Pte Ltd
11.16 Twilio, Inc
11.17 Amazon Web Services Inc.
List of Tables
1 Global Artificial Intelligence in Telecommunication Market Outlook, By Region (2020-2028) ($MN)
2 Global Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
3 Global Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
4 Global Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
5 Global Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
6 Global Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
7 Global Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
8 Global Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
9 Global Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
10 Global Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
11 Global Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
12 Global Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
13 Global Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
14 Global Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
15 Global Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
16 Global Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
17 Global Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
18 Global Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
19 Global Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
20 Global Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
21 Global Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
22 North America Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
23 North America Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
24 North America Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
25 North America Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
26 North America Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
27 North America Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
28 North America Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
29 North America Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
30 North America Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
31 North America Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
32 North America Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
33 North America Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
34 North America Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
35 North America Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
36 North America Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
37 North America Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
38 North America Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
39 North America Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
40 North America Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
41 North America Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
42 North America Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
43 Europe Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
44 Europe Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
45 Europe Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
46 Europe Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
47 Europe Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
48 Europe Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
49 Europe Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
50 Europe Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
51 Europe Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
52 Europe Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
53 Europe Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
54 Europe Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
55 Europe Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
56 Europe Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
57 Europe Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
58 Europe Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
59 Europe Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
60 Europe Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
61 Europe Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
62 Europe Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
63 Europe Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
64 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
65 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
66 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
67 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
68 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
69 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
70 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
71 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
72 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
73 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
74 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
75 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
76 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
77 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
78 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
79 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
80 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
81 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
82 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
83 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
84 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
85 South America Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
86 South America Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
87 South America Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
88 South America Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
89 South America Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
90 South America Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
91 South America Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
92 South America Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
93 South America Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
94 South America Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
95 South America Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
96 South America Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
97 South America Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
98 South America Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
99 South America Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
100 South America Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
101 South America Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
102 South America Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
103 South America Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
104 South America Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
105 South America Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
106 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
107 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
108 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
109 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
110 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
111 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
112 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
113 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
114 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
115 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
116 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
117 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
118 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
119 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
120 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
121 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
122 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
123 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
124 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
125 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
126 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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