2026 Global: Artificial Intelligence (Ai) In Telecommunication Market-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) In Telecommunication Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in telecommunication market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in telecommunication market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
NLPearl, Astrotel, and AGIE AI lead the Artificial Intelligence in Telecommunication Market as innovative startups driving operational efficiency in 2025. NLPearl, founded in 2022 in Tel Aviv, Israel, delivers Pearl, a human-like AI phone agent that automates voice interactions for telecom firms using advanced natural language processing and deep learning to handle incoming and outgoing calls with context-rich conversations. Astrotel, launched in 2024 from New South Wales, Australia, provides cloud and AI-native solutions like IPTOC service on AWS, Azure, and Google Cloud, ensuring secure, high-availability connectivity without hardware needs. AGIE AI, based in Noida, India since 2022, offers a data-focused platform combining generative AI for custom solutions in intrusion detection, network monitoring, customer service, and geospatial analysis, boosting engagement and performance. These companies address core telecom challenges like network congestion and fault detection, enabling faster 5G rollout and automation.
BBOX AI, Impulse, and SWSAM Solutions extend AI applications in customer engagement and monitoring. BBOX AI, established in 2022 in Valetta, Mauritius, deploys a data-driven conversational AI SaaS platform integrating NLP and machine learning for omnichannel consumer interactions, powering automated mobile marketing tools. Impulse specializes in AI Cloud tailored for communication service providers, enhancing CSP operations through intelligent infrastructure. SWSAM Solutions introduces AI-based internet monitoring to optimize telecom networks amid rising data demands. Larger players like Microsoft and Google also influence this space; Microsoft's Azure AI and Copilot suite support telecom productivity via OpenAI integrations, while Google's Gemini and Vertex AI enable AI-driven search and cloud services for network optimization. Palantir Technologies contributes with its AI platform for data analysis in enterprise decision-making, applicable to telecom logistics.
aiShield.me, Salvy, Deepwise, and Infranomics complete the top ten with specialized telecom protections and insights. aiShield.me focuses on AI cybercrime protection, safeguarding telecom assets from threats in connected ecosystems. Salvy's telecom management platform leverages AI for streamlined operations and resource allocation. Deepwise creates geographical digital twins for precise network planning and satellite communication. Infranomics delivers AI connectivity insights, promoting energy-efficient infrastructure and real-time performance analytics. Collectively, these ten companies—predominantly startups alongside tech giants—reshape telecom through adaptive AI, tackling congestion, security, and 5G/6G transitions, with the market projected to accelerate productivity despite global slowdowns. Their solutions unlock coverage expansion, fault prediction, and customer-centric automation, positioning AI as indispensable for telecom evolution in 2025.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in telecommunication market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in telecommunication market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
NLPearl, Astrotel, and AGIE AI lead the Artificial Intelligence in Telecommunication Market as innovative startups driving operational efficiency in 2025. NLPearl, founded in 2022 in Tel Aviv, Israel, delivers Pearl, a human-like AI phone agent that automates voice interactions for telecom firms using advanced natural language processing and deep learning to handle incoming and outgoing calls with context-rich conversations. Astrotel, launched in 2024 from New South Wales, Australia, provides cloud and AI-native solutions like IPTOC service on AWS, Azure, and Google Cloud, ensuring secure, high-availability connectivity without hardware needs. AGIE AI, based in Noida, India since 2022, offers a data-focused platform combining generative AI for custom solutions in intrusion detection, network monitoring, customer service, and geospatial analysis, boosting engagement and performance. These companies address core telecom challenges like network congestion and fault detection, enabling faster 5G rollout and automation.
BBOX AI, Impulse, and SWSAM Solutions extend AI applications in customer engagement and monitoring. BBOX AI, established in 2022 in Valetta, Mauritius, deploys a data-driven conversational AI SaaS platform integrating NLP and machine learning for omnichannel consumer interactions, powering automated mobile marketing tools. Impulse specializes in AI Cloud tailored for communication service providers, enhancing CSP operations through intelligent infrastructure. SWSAM Solutions introduces AI-based internet monitoring to optimize telecom networks amid rising data demands. Larger players like Microsoft and Google also influence this space; Microsoft's Azure AI and Copilot suite support telecom productivity via OpenAI integrations, while Google's Gemini and Vertex AI enable AI-driven search and cloud services for network optimization. Palantir Technologies contributes with its AI platform for data analysis in enterprise decision-making, applicable to telecom logistics.
aiShield.me, Salvy, Deepwise, and Infranomics complete the top ten with specialized telecom protections and insights. aiShield.me focuses on AI cybercrime protection, safeguarding telecom assets from threats in connected ecosystems. Salvy's telecom management platform leverages AI for streamlined operations and resource allocation. Deepwise creates geographical digital twins for precise network planning and satellite communication. Infranomics delivers AI connectivity insights, promoting energy-efficient infrastructure and real-time performance analytics. Collectively, these ten companies—predominantly startups alongside tech giants—reshape telecom through adaptive AI, tackling congestion, security, and 5G/6G transitions, with the market projected to accelerate productivity despite global slowdowns. Their solutions unlock coverage expansion, fault prediction, and customer-centric automation, positioning AI as indispensable for telecom evolution in 2025.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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