In the AI in Telecommunications market, technology companies license professional and managed solutions based on machine learning, deep learning, and natural language processing (NLP) technologies for applications such as customer analytics, network security, network optimization, self-diagnosis, virtual assistance, and others.
AI in Telecommunication Market Insights
The AI in Telecommunication Market size was valued at $ US $1,106.6 Million in 2022 and currently, it is at US $16,643.7 Million, expected to grow at a CAGR of 41.7% from 2023 to 2030.
Key Segments: Machine Learning and Deep Learning, Natural Language Processing, Customer Analytics, Network Security, Virtual Assistance
Key Competitors: Intel Corporation, Nuance Communications, Inc., AT&T, Infosys Limited, ZTE Corporation, IBM Corporation, Google LLC, Microsoft, Salesforce, Inc., Cisco Systems, Inc.
Key Geographies: USA, China, UK, Japan, Germany, France, Italy, Spain, The Netherlands, Canada, India, South Korea, Australia, New Zealand, Middle East, Africa, South, and Central America.
AI in Telecommunication Industry Driver
Increasing AI Demand for Process Optimizations
The telecommunications industry across the globe has been under cost pressure and is finding it difficult to earn a return on investment in certain categories, such as infrastructure. Further, there is a new cost addition in regard to health and safety measures for employees due to pandemic-related workplace changes. In addition, many telcos are facing a shortage of workforce and high attrition, whereas field and service operations still account for at least 60% of their budgets. With this few operators’ customer counts were reduced dramatically due to affected customer experiences, fuelled by low operator switching costs.
Therefore, in order to remain competitive, operators must provide efficient and effective processes that reduce costs and increase consumer and employee retention. After initial success, few telcos have begun investing in virtual assistants for customer support. Installation, configuration, troubleshooting, and maintenance, which frequently overburden customer service centers, are the primary areas of assistance that are supported by AI. Moreover, telecommunications companies are focusing on customer analytics, network security, network optimization, self-diagnosis, and predictive maintenance.
AI in Telecommunication Industry Recent Developments
In response to this trend, numerous large organizations are emphasizing the provision of services that can aid telcos in attaining their goals. For instance, in February 2023, IBM supplied Telecom Egypt (TE) with intelligent automation technologies for implementing a centralized solution for all of its operations support systems (OSS) on mobile, fixed, and core networks, per an IBM press release. Additionally, in the same month, Microsoft also announced the launch of Azure Operator Nexus, a hybrid, AI-enabled, carrier-grade cloud solution designed to meet the unique deployment requirements of network operators.
AI in Telecommunication Market Segmentation:
| AI in Telecommunication Market, By Technology |
|
| AI in Telecommunication Market, By Application |
|
| AI in Telecommunication Market, By Component |
|
| AI in Telecommunication Market, By Deployment |
|
| AI in Telecommunication Market Major Competitors |
|
| AI in Telecommunication Market, By Geography |
|
