Market Overview:
The global AI and big data analytics in telecom market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for big data analytics and AI services in telecom sector across the globe. The cloud-based deployment model is expected to dominate the global AI and big data analytics in telecom market during the forecast period, owing to its advantages such as low cost, scalability, and flexibility. However, on-premise deployment model is also projected to grow at a high rate during the forecast period due to its benefits such as security and control over data.
Product Definition:
Artificial intelligence (AI) is a term for technology that makes machines smarter—that is, able to understand complex tasks and carry out complex commands. Big data analytics is the process of examining large data sets to uncover hidden patterns and correlations. Together, AI and big data analytics can help telecom providers make better decisions about where to invest resources, how best to serve customers, and how to optimize their networks.
Cloud Based:
Cloud-based solutions are software and services that provide shared pooling of resources allowing organizations to pay for only the amount of resources that they use. Cloud service providers offer several benefits such as reduced cost, scalability, flexibility and faster deployment times among others. The growing adoption of cloud based solutions in telecom industry is one of the major factors driving market growth.
On-Premise:
On-premise is a term used for software and data that are installed and run from the provider's server. The on-premise software or solutions can be accessed by multiple users from a single location. It reduces the need for external connectivity, which further helps in reducing costs related to network infrastructure. In addition, it also aids in providing high levels of data security as compared to cloud deployment model.
Application Insights:
The commercial application segment dominated the market in 2017 and is expected to maintain its lead over the forecast period. The segment includes applications such as customer experience management, network management, fraud detection & prevention, marketing & sales support and others. These applications require a high level of data processing owing to their complexity. Thus, they are adopting AI platforms for their efficiency by leveraging various advanced techniques such as text analytics and predictive modeling for analyzing large volumes of data with speed and accuracy.
The private application segment is expected to register the highest CAGR from 2018 to 2030 due to increasing demand from SMEs/Midsize businesses for efficient information handling capabilities coupled with an enhanced user experience offered by these platforms. Furthermore, increased adoption among individuals across all major economies will further fuel growth over the coming years.
Regional Analysis:
North America dominated the market in 2017 owing to the presence of major telecom equipment manufacturers, such as Cisco Systems, Inc., and Qualcomm Technologies Inc. Moreover, growing adoption of IoT and increasing demand for high-speed wireless data networks are expected to drive regional growth over the forecast period.
Asia Pacific is anticipated to witness significant growth over the next eight years owing to rising investments by telecom service providers in order to meet customer demands through innovative services. Increasing use of big data analytics for fraud detection and network management is also expected drive regional demand during the forecast period. Additionally, increased spending on mobile backhaul infrastructure projects will further propel market development across this region.
Growth Factors:
- Increasing demand for data-driven services and personalized customer experience
- Proliferation of connected devices and sensors
- Growing demand for real-time analytics to drive decision making
- Emergence of new business models and revenue streams
- Development of innovative AI and big data analytics applications
Scope Of The Report
Report Attributes
Report Details
Report Title
AI and Big Data Analytics in Telecom Market Research Report
By Type
Cloud Based, On-Premise
By Application
Private, Commercial
By Companies
AWS, Affirm, Air Europa, Airtel, Alibaba, Amazon, Amdocs, Apple, AT&T, Baidu, China Unicom, Cisco, Clarifai, Cloudera, Dell, Ericsson, Facebook, Fico, Google, Huawei, Iberia, IBM
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
179
Number of Tables & Figures
126
Customization Available
Yes, the report can be customized as per your need.
Global AI and Big Data Analytics in Telecom Market Report Segments:
The global AI and Big Data Analytics in Telecom market is segmented on the basis of:
Types
Cloud Based, On-Premise
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
Private, Commercial
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:
- AWS
- Affirm
- Air Europa
- Airtel
- Alibaba
- Amazon
- Amdocs
- Apple
- AT&T
- Baidu
- China Unicom
- Cisco
- Clarifai
- Cloudera
- Dell
- Ericsson
- Facebook
- Fico
- Google
- Huawei
- Iberia
- IBM
Highlights of The AI and Big Data Analytics in Telecom 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:
- Cloud Based
- On-Premise
- By Application:
- Private
- Commercial
- 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 AI and Big Data Analytics in Telecom 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.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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 subset of machine learning that uses computer programs to simulate the cognitive processes of humans, especially in the areas of decision making and problem solving. Big data analytics is a process for extracting knowledge from large data sets.
Some of the major companies in the ai and big data analytics in telecom market are AWS, Affirm, Air Europa, Airtel, Alibaba, Amazon, Amdocs, Apple, AT&T, Baidu, China Unicom, Cisco, Clarifai, Cloudera, Dell, Ericsson, Facebook, Fico, Google, Huawei, Iberia, IBM.
The ai and big data analytics in telecom market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size & Forecast, 2018-2028
4.5.1 AI and Big Data Analytics in Telecom Market Size and Y-o-Y Growth
4.5.2 AI and Big Data Analytics in Telecom Market Absolute $ Opportunity
Chapter 5 Global AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size Forecast by Type
5.2.1 Cloud Based
5.2.2 On-Premise
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size Forecast by Applications
6.2.1 Private
6.2.2 Commercial
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Analysis and Forecast
9.1 Introduction
9.2 North America AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size Forecast by Type
9.6.1 Cloud Based
9.6.2 On-Premise
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 AI and Big Data Analytics in Telecom Market Size Forecast by Applications
9.10.1 Private
9.10.2 Commercial
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 AI and Big Data Analytics in Telecom Analysis and Forecast
10.1 Introduction
10.2 Europe AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size Forecast by Type
10.6.1 Cloud Based
10.6.2 On-Premise
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 AI and Big Data Analytics in Telecom Market Size Forecast by Applications
10.10.1 Private
10.10.2 Commercial
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 AI and Big Data Analytics in Telecom Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size Forecast by Type
11.6.1 Cloud Based
11.6.2 On-Premise
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 AI and Big Data Analytics in Telecom Market Size Forecast by Applications
11.10.1 Private
11.10.2 Commercial
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 AI and Big Data Analytics in Telecom Analysis and Forecast
12.1 Introduction
12.2 Latin America AI and Big Data Analytics in Telecom 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 AI and Big Data Analytics in Telecom Market Size Forecast by Type
12.6.1 Cloud Based
12.6.2 On-Premise
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 AI and Big Data Analytics in Telecom Market Size Forecast by Applications
12.10.1 Private
12.10.2 Commercial
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) AI and Big Data Analytics in Telecom Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI and Big Data Analytics in Telecom 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) AI and Big Data Analytics in Telecom Market Size Forecast by Type
13.6.1 Cloud Based
13.6.2 On-Premise
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) AI and Big Data Analytics in Telecom Market Size Forecast by Applications
13.10.1 Private
13.10.2 Commercial
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 AI and Big Data Analytics in Telecom Market: Competitive Dashboard
14.2 Global AI and Big Data Analytics in Telecom Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 AWS
14.3.2 Affirm
14.3.3 Air Europa
14.3.4 Airtel
14.3.5 Alibaba
14.3.6 Amazon
14.3.7 Amdocs
14.3.8 Apple
14.3.9 AT&T
14.3.10 Baidu
14.3.11 China Unicom
14.3.12 Cisco
14.3.13 Clarifai
14.3.14 Cloudera
14.3.15 Dell
14.3.16 Ericsson
14.3.17 Facebook
14.3.18 Fico
14.3.19 Google
14.3.20 Huawei
14.3.21 Iberia
14.3.22 IBM
