AI In Telecommunication Market Share Will Hit USD 38.8 Billion by 2031

According to the report, the global AI in the telecommunication industry generated $1.2 billion in 2021, and is estimated to reach $38.8 by 2031, witnessing a CAGR of 41.4% from 2022 to 2031. The report offers a detailed analysis of changing market trends, top segments, key investment pockets, value chain, regional landscape, and competitive scenario.

Artificial intelligence (AI) is transforming the telecommunications industry by enabling companies to extract valuable insights from vast data sets, streamline daily operations, and resolve issues more efficiently. It also plays a key role in enhancing customer service and overall satisfaction. AI, as an advanced technology, mimics human intelligence and supports capabilities such as speech, visual, and image recognition, as well as language translation - all of which are driving market growth.

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Moreover, AI is reshaping the operations and workflows across various industrial sectors, particularly telecommunications. To stay competitive and improve service delivery, major market players are adopting strategies like product launches and collaborations. For example, in September 2020, Nuance Communications, Inc. and Rakuten Mobile, Inc. formed a strategic partnership to integrate Nuance Intelligent Engagement AI Services into the Rakuten Communications Platform (RCP). This made RCP the first mobile communications platform to be cloud-native, virtualized, and equipped with built-in Nuance Conversational and Engagement AI services.

Through this partnership, Rakuten Group companies can now access a suite of AI-powered tools, including conversational AI, engagement AI services, and the Nuance Mix rapid AppDev platform - a robust enterprise-grade tool for quickly developing, testing, deploying, and optimizing virtual assistants and speech solutions. This integration helps reduce development and optimization time by more than 50%.

Growing adoption of AI solutions in various telecom applications, the ability of AI to provide a simpler and easier interface in telecommunication and reduce the human intervention needed for network configuration and maintenance, and the growing demand for high bandwidth with more consumers turning to OTT services drive the growth of the global AI in telecommunication market.

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However, the incompatibility between telecommunication systems and AI technology hampers the global market growth. On the other hand, the increasing penetration of AI-enabled smartphones in the telecommunication industry, and the advent of 5G technology in smartphones likely to create potential opportunities for growth of the global market in the coming years.

Covid-19 Scenario

1. The global artificial intelligence in telecommunication market saw a stable growth during the COVID-19 pandemic, owing to the increasing digital penetration and rise in automation.

2. Moreover, the pandemic led the telecommunications infrastructure to keep businesses, governments, and communities connected and operational. The social and financial disruption caused by the pandemic forced people to depend on technology such as AI for information and remote working.

3. AI also helped the telecom industry to reinvent customer relationships by identifying personalized needs and engaging with customers through hyper-personalized one-to-one contacts. It also helped configure fixed-line and mobile-network bundles that combine VPN, teleconferencing, and productivity apps.

Based on component, the solution segment was the largest market in 2021, contributing to more than two-thirds of the global AI in telecommunication market, and is expected to maintain its leadership status during the forecast period. This is due to the adoption of solutions by various end users for the automated processes. On the other hand, the service segment is projected to witness the fastest CAGR of 44.9% from 2022 to 2031, due to surge in the adoption of managed and professional services.

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Based on deployment model, the on-premise segment held the largest market share of nearly three-fifths of the global AI in telecommunication market in 2021 and is expected to maintain its dominance during the forecast period. This is because it provides added security of data. The cloud segment, however, is projected to witness the largest CAGR of 43.8% from 2022 to 2031, as cloud provides flexibility, scalability, complete visibility, and efficiency to all processes.

Based on technology, the machine learning segment held the largest market share of more than two-fifths of the global AI in telecommunication market in 2021, and would maintain its dominance during the forecast period. This is because machine learning algorithms are designed to keep improving accuracy and efficiency. The data analytics segment, however, is projected to witness the largest CAGR of 46.1% from 2022 to 2031, as it helps telecom companies to increase profitability by optimizing network usage and services.

Based on region, North America was the largest market in 2021, capturing more than one-third of the global AI in telecommunication market. The growth in the region can be attributed to the infrastructure development and technology adoption in countries like the U.S. and Canada. However, the market in Asia-Pacific is expected to lead in terms of revenue and manifest the fastest CAGR of 45.7% during the forecast period, owing to the growing digital and economic transformation of the region.

Leading Market Players

Intel Corporation
Nuance Communications, Inc.
AT&T
Infosys Limited
ZTE Corporation
IBM Corporation
Google LLC
Microsoft
Salesforce, Inc.
Cisco Systems, Inc.

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The report analyzes these key players of the global AI in the telecommunications market. These players have adopted various strategies such as expansion, new product launches, partnerships, and others to increase their market penetration and strengthen their position in the industry. The report helps determine the business performance, operating segments, product portfolio, and developments by every market player.

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