한글목차

통신 애널리틱스 동향 및 전망

세계 통신 애널리틱스 시장은 2024년부터 2030년까지 14.2%의 CAGR을 기록하며 2030년까지 약 149억 달러 규모에 달할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 세계 통신 데이터 양의 증가, 수익에 영향을 미치는 기업 운영 효율화에 대한 수요 증가, 데이터 분석, 빅데이터, IoT와 같은 첨단 기술의 빠른 도입입니다. 세계 통신 애널리틱스 시장의 미래는 고객 관리, 네트워크 관리, 영업 및 마케팅 관리, 리스크 및 컴플라이언스 관리 시장에서 기회가 있을 것으로 전망되고 있습니다.

Lucintel은 소프트웨어가 데이터 수집, 처리, 보고 및 표시를 용이하게 하고 통신 사업자에게 유용한 정보를 제공하기 때문에 예측 기간 동안 높은 성장세를 보일 것으로 예상했습니다.

북미는 데이터 소비 증가, 스마트 기기 보급, 5G 기술 도입으로 인해 통신 애널리틱스에 대한 수요가 증가함에 따라 예측 기간 동안 가장 큰 지역으로 남을 것으로 보입니다.

자주 묻는 질문

Q1. 시장 규모는?

A1. 세계 통신 애널리틱스 시장은 2030년까지 약 149억 달러에 달할 것으로 예상됩니다.

Q2. 시장 성장 예측은?

A2. 세계 통신 애널리틱스 시장은 2024년부터 2030년까지 연평균 14.2%의 성장률을 기록할 것으로 예상됩니다.

Q3. 시장 성장에 영향을 미치는 주요 촉진요인은?

A3. 이 시장의 주요 촉진요인은 전 세계 통신 데이터 양의 증가, 수익에 영향을 미치는 기업 업무 효율화에 대한 수요 증가, 데이터 분석, 빅데이터, IoT와 같은 첨단 기술의 빠른 도입입니다.

Q4. 시장의 주요 부문은?

A4. 통신 애널리틱스 시장의 미래는 고객 관리, 네트워크 관리, 영업 및 마케팅 관리, 리스크 및 컴플라이언스 관리 시장에서 기회가 있고 유망합니다.

Q5. 시장의 주요 기업은?

A5. 주요 통신 애널리틱스 기업은 다음과 같습니다.

• Accenture
• Adobe
• Cisco Systems
• Dell Technologies
• Oracle Corporation
• SAP SE
• SAS Institute
• Sisense
• 테라데이타(Teradata Corporation)
• TIBCO Software

Q6. 향후 가장 큰 시장 부문은?

A6. Lucintel은 소프트웨어가 데이터 수집, 처리, 보고 및 표시를 용이하게 하고 통신 사업자에게 유용한 정보를 제공하기 때문에 예측 기간 동안 높은 성장세를 보일 것으로 예상하고 있습니다.

Q7. 시장에서 향후 5년간 가장 큰 시장이 될 것으로 예상되는 지역은 어디인가?

A7. 북미는 데이터 소비 증가, 스마트 기기 보급, 5G 기술 도입으로 인해 통신 애널리틱스에 대한 요구가 증가함에 따라 예측 기간 동안 가장 큰 지역으로 남을 것입니다.

Q8. 보고서 사용자 정의가 가능한가?

A8. 예, Lucintel은 추가 비용없이 10%의 사용자 정의를 제공합니다.

목차

제1장 주요 요약

제2장 세계의 통신 애널리틱스 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계 성장 촉진요인과 과제

제3장 2018년부터 2030년까지 시장 동향과 예측 분석

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 통신 애널리틱스 시장 동향(2018-2023년)과 예측(2024-2030년)
• 구성요소별 세계의 통신 애널리틱스 시장
  • 소프트웨어
  • 서비스
• 전개 방식별 세계의 통신 애널리틱스 시장
  • 클라우드 기반
  • 온프레미스
• 조직 규모별 세계의 통신 애널리틱스 시장
  • 대기업
  • 중소기업
• 최종 이용 산업별 세계의 통신 애널리틱스 시장
  • 고객 관리
  • 네트워크 관리
  • 판매·마케팅 관리
  • 리스크·컴플라이언스 관리
  • 기타

제4장 2018년부터 2030년까지 지역별 시장 동향과 예측 분석

• 지역별 세계 통신 애널리틱스 시장
• 북미의 통신 애널리틱스 시장
• 유럽의 통신 애널리틱스 시장
• 아시아태평양의 통신 애널리틱스 시장
• 기타 지역의 통신 애널리틱스 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 업무 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 구성요소별 세계의 통신 애널리틱스 시장 성장 기회
  • 전개 방식별 세계의 통신 애널리틱스 시장 성장 기회
  • 조직 규모별 세계의 통신 애널리틱스 시장 성장 기회
  • 최종 이용 산업별 세계의 통신 애널리틱스 시장 성장 기회
  • 지역별 세계의 통신 애널리틱스 시장 성장 기회
• 세계의 통신 애널리틱스 시장 최신 동향
• 전략 분석
  • 신제품 개발
  • 세계의 통신 애널리틱스 시장 능력 확대
  • 세계의 통신 애널리틱스 시장 합병, 인수, 합작투자
  • 인증과 라이선싱

제7장 주요 기업 개요

• Accenture
• Adobe
• Cisco Systems
• Dell Technologies
• Oracle Corporation
• SAP SE
• SAS Institute
• Sisense
• Teradata Corporation
• TIBCO Software

영문목차

Telecom Analytics Trends and Forecast

The future of the global telecom analytics market looks promising with opportunities in the customer management, network management, sales and marketing management, risk and compliance management markets. The global telecom analytics market is expected to reach an estimated $14.9 billion by 2030 with a CAGR of 14.2% from 2024 to 2030. The major drivers for this market are growing volume of telecom data globally, increasing demand for revenue-impacting company operations to be streamlined, and quick adoption of cutting-edge technology, such as data analytics, big data, and the internet of things (IoT).

Lucintel forecasts that software is expected to witness the higher growth over the forecast period because it facilitates the gathering, processing, reporting, and display of data, giving telecom operators useful information.

North America will remain the largest region over the forecast period due to greater need for telecom analytics owing to the increase in data consumption, the proliferation of smart devices, and the introduction of 5G technology in the region.

Emerging Trends in the Telecom Analytics Market

The telecom analytics market is chartered with a spate of emerging trends due to rapid advancements in technology, coupled with demands from the industry. This hence tends to reshape the way in which the use of data by any given company within the telecom industry would be constituted in an attempt to realize operational excellence along with offering improved customer experiences.

• AI-Driven Network Optimization: AI-powered network optimization solutions will mark a new course for the telecom industry. Algorithms powered by AI analyze information about network performance to forecast events that may potentially lead to problems, and to intelligently optimize traffic flow to improve overall network efficiency. These solutions can allow for proactive management and rapid resolution of issues that arise.
• Real-time Analytics: Real-time analytics is one of the major trends in telecom analytics that enable operators to instantly track network performance and customer interactions. In this way, one can take quick action over network issues or fraud detection and improve customer service.
• Integration with IoT and Smart Devices: Integration of telecom analytics with IoT and smart devices opens a wide new area of data gathering and analyses. Telecommunication operators will act upon the provided information from connected devices to enhance their network performance and develop new services.
• Personalization for Enhanced Customer Experience: Telecom analytics for Customer Personalisation handles analytics in customer data in order to engage in service and offer customization. Understanding each one's preference and behaviour allows a telecom company to offer better personalisation of services and targeted marketing.
• Predictive Maintenance: Predictive maintenance is the estimation of equipment failures and network issues much before they actually take place. It's all about being proactive by understanding historical trends and real-time metrics in order to find out what is likely to go wrong well before it does.

These emerging trends change the dimensions of the market in developing network management, customer experience, and operational efficiency. The integration of AI with real-time analytics in IoT has driven innovation in telecom analytics and opened new avenues for growth opportunities. These changes open avenues for improvement in service delivery.

Recent Developments in the Telecom Analytics Market

The telecom analytics market is that of rapid evolution, considering that a number of key developments mark the transformation in how data is used by telecom operators to drive network performance and customer experience. In fact, these changes reflect the movement of the industry toward advanced analytics and data-driven decision-making.

• Adoption of 5G Technology: The rollout of 5G technology represents one of the most evolutionary developments in the telecom analytics market, which demands advanced analytics to keep pace with increased complexity and volume of data. A variety of analytics are thus being applied by operators to optimize 5G network performance, manage traffic, and ensure the quality of services.
• Growth of AI and Machine Learning: AI and machine learning have started making advanced integration with the different tools of telecom analytics, changing the conventional way it used to be done. These technologies empower predictive analytics, real-time monitoring, and automated decision-making for improved overall efficiencies and quality of services.
• Security and Privacy of Information : With increased awareness of data privacy and different regulations concerning it, telecom operators are making sure data security remains at the heart of analytics solutions-advanced security measures and compliance features that will protect sensitive customer information.
• Expansion of Cloud-Based Analytics: Cloud solutions are one of the major movements in modern development of the telecom market. Scalability, flexibility, and cost-effectiveness are the main reasons for this. Thus, cloud-based platforms enable telecom operators to process big data volumes with limited on-premise infrastructure.
• Enhanced Customer Experience Management : Advanced analytics by telecom operators are all about improving customer experience. This would involve analyzing every point of interaction between customers and the feedback or behavior of the latter to offer better service quality, personalize offerings, and proactively address concerns.

The developments are changing the perspective of the telecom analytics market by enhancing technology, improving data management, and upgrading customer service. This concentration on AI, 5G, cloud solution, and data privacy indicates a general trend toward innovativeness and efficiency within the telecom industry.

Strategic Growth Opportunities for Telecom Analytics Market

Driven by the growing need to enhance network management, customer experience, and operational efficiency, several strategic growth opportunities are available in the Telecom Analytics market across its key applications. These areas need to be explored in terms of competitive advantage for driving business growth.

• Network Optimization: Analytics-based network optimization can be defined as studying network performance data for efficiency, minimizing down times, and enabling high service quality. Advanced analytics can enable telecom operators to optimize traffic management, capacity planning, and fault detection.
• Improved Customer Experience: Analytics would help improve the customer experience by understanding data about customer interaction and feedback to enhance the quality of service delivery and personalization. It will include applying data for customized services, proactive problem solving, and establishing specific marketing strategy development.
• Churn Prediction and Management : Predicating churn and its management includes using analytics to identify customers at risk of leaving and undertake appropriate measures for retention. It would cover not only usage pattern analysis, feedback, and customer behavior but also to predict the probability of churn and conditions that may lead to a high rate of it.
• Fraud Detection: Analytics-based fraud detection entails the analysis of transaction and network data to identify and prevent fraudulent activities. Advanced analytics tools were indicative, therefore, in the realization of unusual patterns and behaviors that could indicate fraud, hence timely intervention.
• Revenue Assurance : Revenue assurance covers analytics that ensure proper billing, minimum revenue leakage, and optimization of financial performance. This encompasses billing data, usage, and revenues in order to detect discrepancies and enhance accuracy.

This has become a strategic growth opportunity in the reformation of the Telecom Analytics market, wherein focus is laid on network optimization, customer experience, churn management, fraud detection, and revenue assurance. Capitalizing on these areas, telecom operators can drive innovation, efficiency, and business growth on a sustained basis.

Telecom Analytics Market Driver and Challenges

It is due to technological advancement, regulatory requirements, and market dynamics that various drivers and challenges shape the growth and build-up of the market for Telecom Analytics. Appreciating these drivers and challenges is important in as far as they enable one to sail through the market with a better competitive strategy.

The factors responsible for driving the telecom analytics market include:

1. Empowered Technologies: Increasingly broad-based technological advances in the areas of AI, machine learning, and cloud computing are among the major reasons for increasing market growth in Telecom Analytics. These technologies enable advanced data analytics, real-time insight, and better network management-facilitating the advancement of operational efficiency and customer experience.

2. The key forces that drive the telecom analytics market include exponential growth in data generated from telecom networks and connected devices. Proper management and analysis of the huge volume of data enable tremendous insights for optimizing network performance, customer service, and business operations.

3. Improved Customer Experience in Demand: In the telecom industry, there is more drive towards customer experience. Analytics tools get deep insight into customer behaviour, personalization of services, proactive problem resolution leading to increased satisfaction and loyalty.

Challenges in the telecom analytics market are:

1. Data privacy and security concerns: are a major pain area in the telecom analytics market. While the sensitive information of customers needs to be safeguarded with strong measures, the telecom operators should also be able to remain compliant with data protection regulations.

2. Integration with the existing Legacy System: Advanced analytics solutions being integrated with long-time-operating legacy systems can be really complex and headache-causing. Compatibility issues and the need for seamless flow of data amongst systems can stall the effective working of analytics tools.

3. Higher Implementation Costs: Advanced analytics solutions require huge implementation costs involving technology investments, training, and maintenance that might be a constraint for some telecom operators. Evaluation of return on investment and effective cost management is called for in the successful adoption of the technology.

The drivers for the market of Telecom Analytics include technological advancements, increase in volumes of data, and expansion of 5G networks. However, some challenges are yet to be encountered, like data privacy, systems integrations, and high costs of implementation. Understanding these factors will help in leveraging analytics effectively to achieve growth in the industry.

List of Telecom Analytics Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies telecom analytics companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the telecom analytics companies profiled in this report include-

• Accenture
• Adobe
• Cisco Systems
• Dell Technologies
• Oracle Corporation
• SAP SE
• SAS Institute
• Sisense
• Teradata Corporation
• TIBCO Software

Telecom Analytics by Segment

The study includes a forecast for the global telecom analytics by component, deployment mode, organization size, end use industry, and region.

Telecom Analytics Market by Component [Analysis by Value from 2018 to 2030]:

• Software
• Services

Telecom Analytics Market by Deployment Mode [Analysis by Value from 2018 to 2030]:

• Cloud-based
• On-Premises

Telecom Analytics Market by Organization Size [Analysis by Value from 2018 to 2030]:

• Large Enterprises
• Small and Medium-sized Enterprises

Telecom Analytics Market by End Use Industry [Analysis by Value from 2018 to 2030]:

• Customer Management
• Network Management
• Sales and Marketing Management
• Risk and Compliance Management
• Others

Telecom Analytics Market by Region [Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Telecom Analytics Market

The growth rate of the market is increasing rapidly owing to technological advancement, increasing demand for decision-making based on data analysis, and continuously rising complexity of telecom networks. The recent development shows the broader movement of industry towards big data, AI, and machine learning for improved operational efficiency and customer experience.

• United States: It is due to the improvement in 5G technology and also network management demands. Leading telecom organizations are now shifting towards AI and machine learning for analyzing huge volumes of data emanating from modern networks. It enables predictive maintenance, a better customer experience, and also facilitates more efficient network operations. There is, nonetheless, a strong focus on integrating analytics with customer relationship management systems to provide more personalized services, thereby offering better customer insights.
• China: The China Telecom Analytics market is growing very fast. This is driven mainly by the country's aggressive rollout of 5G networks and smart city initiatives. Advanced analytics are being used by the Chinese telecom operators to manage the huge volumes of data emanating from their networks and also to optimize performance. Moreover, the region has substantial investment in AI-driven analytics for predictive maintenance and analysis of customer behavior. Support by the Chinese government for digital infrastructure and smart technologies further accelerates the pace of adoption of telecom analytics solutions in the region.
• Germany: The country of Germany is focusing on leveraging Telecom Analytics to optimize network performance and adhere to strict data protection regulations. On their part, German telecom operators are also investing in analytics for better reliability and efficiency of the networks in light of growing 5G infrastructure. Data privacy concerns remain paramount, and advanced security measures are installed accordingly within the analytics platform. Analytics-IoT-Industrial Automation integration is equally important to support Germany's well-recognized manufacturing sector.
• India: The huge development in the telecommunication network has massively increased mobile data consumption in India, which increases the demand for the Telecom Analytics market. For better network quality, manageable traffic, and improvement in the customer experience, Indian telecom operators have adopted analytics solutions. There is more focus on the usage of data analytics with regard to customer segmentation, churn prediction, and personalized service offerings. The Government of India's impetus for Digital Transformation and Smart Cities is further driving the demand for advanced solutions around telecom analytics.
• Japan: The Japanese Telecom analytics market is at the hub of integrating advanced analytics with the upcoming technologies, such as 5G and IoT. Japanese telecoms have been seriously investing in analytics for betterment regarding network performance, customer experience, and operational efficiency. It also covers the effective use of AI in analyzing data in real time and predictive maintenance. This market is characterized by a high adoption rate in advanced technologies, while simultaneously being committed to maintaining its lead in technology within the sector of telecommunication.

Features of the Global Telecom Analytics Market

Market Size Estimates: Telecom analytics market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Telecom analytics market size by various segments, such as by component, deployment mode, organization size, end use industry, and region in terms of value ($B).

Regional Analysis: Telecom analytics market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different component, deployment mode, organization size, end use industry, and regions for the telecom analytics market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the telecom analytics market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

FAQ

Q1. What is the telecom analytics market size?

Answer: The global telecom analytics market is expected to reach an estimated $14.9 billion by 2030.

Q2. What is the growth forecast for telecom analytics market?

Answer: The global telecom analytics market is expected to grow with a CAGR of 14.2% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the telecom analytics market?

Answer: The major drivers for this market are growing volume of telecom data globally, increasing demand for revenue-impacting company operations to be streamlined and quick adoption of cutting-edge technology, such as data analytics, big data, and the internet of things (IoT).

Q4. What are the major segments for telecom analytics market?

Answer: The future of the telecom analytics market looks promising with opportunities in the customer management, network management, sales and marketing management, risk and compliance management markets.

Q5. Who are the key telecom analytics market companies?

Answer: Some of the key telecom analytics companies are as follows:

• Accenture
• Adobe
• Cisco Systems
• Dell Technologies
• Oracle Corporation
• SAP SE
• SAS Institute
• Sisense
• Teradata Corporation
• TIBCO Software

Q6. Which telecom analytics market segment will be the largest in future?

Answer: Lucintel forecasts that software is expected to witness the higher growth over the forecast period because it facilitates the gathering, processing, reporting, and display of data, giving telecom operators useful information.

Q7. In telecom analytics market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to greater need for telecom analytics owing to the increase in data consumption, the proliferation of smart devices, and the introduction of 5G technology in the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the telecom analytics market by component (software and services), deployment mode (cloud-based and on-premises), organization size (large enterprises and small and medium-sized enterprises), end use industry (customer management, network management, sales and marketing management, risk and compliance management, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
• Market Report

Table of Contents

1. Executive Summary

2. Global Telecom Analytics Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Telecom Analytics Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Telecom Analytics Market by Component
  • 3.3.1: Software
  • 3.3.2: Services
• 3.4: Global Telecom Analytics Market by Deployment Mode
  • 3.4.1: Cloud-based
  • 3.4.2: On-Premises
• 3.5: Global Telecom Analytics Market by Organization Size
  • 3.5.1: Large Enterprises
  • 3.5.2: Small and Medium-sized Enterprises
• 3.6: Global Telecom Analytics Market by End Use Industry
  • 3.6.1: Customer Management
  • 3.6.2: Network Management
  • 3.6.3: Sales and Marketing Management
  • 3.6.4: Risk and Compliance Management
  • 3.6.5: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Telecom Analytics Market by Region
• 4.2: North American Telecom Analytics Market
  • 4.2.1: North American Telecom Analytics Market by Component: Software and Services
  • 4.2.2: North American Telecom Analytics Market by End Use Industry: Customer Management, Network Management, Sales and Marketing Management, Risk and Compliance Management, and Others
• 4.3: European Telecom Analytics Market
  • 4.3.1: European Telecom Analytics Market by Component: Software and Services
  • 4.3.2: European Telecom Analytics Market by End Use Industry: Customer Management, Network Management, Sales and Marketing Management, Risk and Compliance Management, and Others
• 4.4: APAC Telecom Analytics Market
  • 4.4.1: APAC Telecom Analytics Market by Component: Software and Services
  • 4.4.2: APAC Telecom Analytics Market by End Use Industry: Customer Management, Network Management, Sales and Marketing Management, Risk and Compliance Management, and Others
• 4.5: ROW Telecom Analytics Market
  • 4.5.1: ROW Telecom Analytics Market by Component: Software and Services
  • 4.5.2: ROW Telecom Analytics Market by End Use Industry: Customer Management, Network Management, Sales and Marketing Management, Risk and Compliance Management, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Telecom Analytics Market by Component
  • 6.1.2: Growth Opportunities for the Global Telecom Analytics Market by Deployment Mode
  • 6.1.3: Growth Opportunities for the Global Telecom Analytics Market by Organization Size
  • 6.1.4: Growth Opportunities for the Global Telecom Analytics Market by End Use Industry
  • 6.1.5: Growth Opportunities for the Global Telecom Analytics Market by Region
• 6.2: Emerging Trends in the Global Telecom Analytics Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Telecom Analytics Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Telecom Analytics Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Accenture
• 7.2: Adobe
• 7.3: Cisco Systems
• 7.4: Dell Technologies
• 7.5: Oracle Corporation
• 7.6: SAP SE
• 7.7: SAS Institute
• 7.8: Sisense
• 7.9: Teradata Corporation
• 7.10: TIBCO Software