통신용 빅데이터와 기계학습 시장(2025-2029년)

The global big data and machine learning in telecom market is forecasted to grow by USD 47592.2 mn during 2024-2029, accelerating at a CAGR of 19.4% during the forecast period. The report on the global big data and machine learning in telecom market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by exponential data growth fueled by 5G and internet of things (iot), competitive imperative to enhance customer experience and reduce churn, critical need for network automation and operational efficiency.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global big data and machine learning in telecom market is segmented as below:

By Component

• Software
• Hardware
• Services

By Application

• Network optimization
• Customer analytics
• Fraud detection
• Predictive maintenance
• Others

By Deployment

• Cloud-based
• On-premises

Geography

• North America
  • US
  • Canada
  • Mexico
• APAC
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Indonesia
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• Middle East and Africa
  • South Africa
  • UAE
  • Turkey
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the proliferation of generative AI and large language models (llms) as one of the prime reasons driving the global big data and machine learning in telecom market growth during the next few years. Also, strategic shift to edge AI and distributed analytics and increasing focus on AI for network energy efficiency and sustainability will lead to sizable demand in the market.

The report on the global big data and machine learning in telecom market covers the following areas:

• Global big data and machine learning in telecom market sizing
• Global big data and machine learning in telecom market forecast
• Global big data and machine learning in telecom market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global big data and machine learning in telecom market vendors that include Accenture PLC, Amazon Web Services Inc., Amdocs Ltd., Cisco Systems Inc., Cloudera Inc., Deloitte Touche Tohmatsu Ltd., Google Cloud, Huawei Technologies Co. Ltd., IBM Corp., Microsoft Corp., Nokia Corp., Oracle Corp., Qualcomm Inc., SAP SE, SAS Institute Inc., Splunk Inc., Tech Mahindra Ltd., Telefonaktiebolaget Ericsson, Teradata Corp., ZTE Corp.. Also, the global big data and machine learning in telecom market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global Big Data And Machine Learning In Telecom Market 2019 - 2023
  • Historic Market Size - Data Table on Global Big Data And Machine Learning In Telecom Market 2019 - 2023 ($ million)
• 5.2 Component segment analysis 2019 - 2023
  • Historic Market Size - Component Segment 2019 - 2023 ($ million)
• 5.3 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.4 Deployment segment analysis 2019 - 2023
  • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Component

• 7.1 Market segments
• 7.2 Comparison by Component
• 7.3 Software - Market size and forecast 2024-2029
• 7.4 Hardware - Market size and forecast 2024-2029
• 7.5 Services - Market size and forecast 2024-2029
• 7.6 Market opportunity by Component
  • Market opportunity by Component ($ million)

8 Market Segmentation by Application

• 8.1 Market segments
• 8.2 Comparison by Application
• 8.3 Network optimization - Market size and forecast 2024-2029
• 8.4 Customer analytics - Market size and forecast 2024-2029
• 8.5 Fraud detection - Market size and forecast 2024-2029
• 8.6 Predictive maintenance - Market size and forecast 2024-2029
• 8.7 Others - Market size and forecast 2024-2029
• 8.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 Cloud-based - Market size and forecast 2024-2029
• 9.4 On-premises - Market size and forecast 2024-2029
• 9.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 North America - Market size and forecast 2024-2029
  • 11.3.1 US - Market size and forecast 2024-2029
  • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.3.3 Mexico - Market size and forecast 2024-2029
• 11.4 APAC - Market size and forecast 2024-2029
  • 11.4.1 China - Market size and forecast 2024-2029
  • 11.4.2 India - Market size and forecast 2024-2029
  • 11.4.3 Japan - Market size and forecast 2024-2029
  • 11.4.4 South Korea - Market size and forecast 2024-2029
  • 11.4.5 Australia - Market size and forecast 2024-2029
  • 11.4.6 Indonesia - Market size and forecast 2024-2029
• 11.5 Europe - Market size and forecast 2024-2029
  • 11.5.1 Germany - Market size and forecast 2024-2029
  • 11.5.2 UK - Market size and forecast 2024-2029
  • 11.5.3 France - Market size and forecast 2024-2029
  • 11.5.4 Italy - Market size and forecast 2024-2029
  • 11.5.5 Spain - Market size and forecast 2024-2029
  • 11.5.6 The Netherlands - Market size and forecast 2024-2029
• 11.6 Middle East and Africa - Market size and forecast 2024-2029
  • 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
  • 11.6.2 South Africa - Market size and forecast 2024-2029
  • 11.6.3 UAE - Market size and forecast 2024-2029
  • 11.6.4 Israel - Market size and forecast 2024-2029
  • 11.6.5 Turkey - Market size and forecast 2024-2029
• 11.7 South America - Market size and forecast 2024-2029
  • 11.7.1 Brazil - Market size and forecast 2024-2029
  • 11.7.2 Argentina - Market size and forecast 2024-2029
  • 11.7.3 Colombia - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Exponential data growth fueled by 5G and internet of things (IoT)
  • Competitive imperative to enhance customer experience and reduce churn
  • Critical need for network automation and operational efficiency
• 12.2 Market challenges
  • Navigating complex data privacy, security, and governance mandates
  • High implementation costs and complex legacy system integration
  • Scarcity of specialized talent and organizational skills gap
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Proliferation of generative AI and large language models (LLMs)
  • Strategic shift to edge AI and distributed analytics
  • Increasing focus on AI for network energy efficiency and sustainability

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Accenture PLC
  • Accenture PLC - Overview
  • Accenture PLC - Business segments
  • Accenture PLC - Key news
  • Accenture PLC - Key offerings
  • Accenture PLC - Segment focus
  • SWOT
• 14.5 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.6 Cisco Systems Inc.
  • Cisco Systems Inc. - Overview
  • Cisco Systems Inc. - Business segments
  • Cisco Systems Inc. - Key news
  • Cisco Systems Inc. - Key offerings
  • Cisco Systems Inc. - Segment focus
  • SWOT
• 14.7 Deloitte Touche Tohmatsu Ltd.
  • Deloitte Touche Tohmatsu Ltd. - Overview
  • Deloitte Touche Tohmatsu Ltd. - Business segments
  • Deloitte Touche Tohmatsu Ltd. - Key offerings
  • Deloitte Touche Tohmatsu Ltd. - Segment focus
  • SWOT
• 14.8 Google Cloud
  • Google Cloud - Overview
  • Google Cloud - Product / Service
  • Google Cloud - Key offerings
  • SWOT
• 14.9 Huawei Technologies Co. Ltd.
  • Huawei Technologies Co. Ltd. - Overview
  • Huawei Technologies Co. Ltd. - Product / Service
  • Huawei Technologies Co. Ltd. - Key news
  • Huawei Technologies Co. Ltd. - Key offerings
  • SWOT
• 14.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.11 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.12 Nokia Corp.
  • Nokia Corp. - Overview
  • Nokia Corp. - Business segments
  • Nokia Corp. - Key news
  • Nokia Corp. - Key offerings
  • Nokia Corp. - Segment focus
  • SWOT
• 14.13 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 14.14 Qualcomm Inc.
  • Qualcomm Inc. - Overview
  • Qualcomm Inc. - Business segments
  • Qualcomm Inc. - Key news
  • Qualcomm Inc. - Key offerings
  • Qualcomm Inc. - Segment focus
  • SWOT
• 14.15 SAP SE
  • SAP SE - Overview
  • SAP SE - Business segments
  • SAP SE - Key news
  • SAP SE - Key offerings
  • SAP SE - Segment focus
  • SWOT
• 14.16 SAS Institute Inc.
  • SAS Institute Inc. - Overview
  • SAS Institute Inc. - Product / Service
  • SAS Institute Inc. - Key news
  • SAS Institute Inc. - Key offerings
  • SWOT
• 14.17 Splunk Inc.
  • Splunk Inc. - Overview
  • Splunk Inc. - Product / Service
  • Splunk Inc. - Key offerings
  • SWOT
• 14.18 Telefonaktiebolaget Ericsson
  • Telefonaktiebolaget Ericsson - Overview
  • Telefonaktiebolaget Ericsson - Business segments
  • Telefonaktiebolaget Ericsson - Key news
  • Telefonaktiebolaget Ericsson - Key offerings
  • Telefonaktiebolaget Ericsson - Segment focus
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations