• Teradata Vantage: An advanced analytics platform providing data warehousing, data lake, and analytics capabilities across multi-cloud, hybrid, and on-premises environments.
• Cloud Data Platform: A fully managed service delivering the Teradata Vantage analytics platform on major public clouds (AWS, Azure, Google Cloud).
• Professional Services: Consulting engagements that help customers design, implement, optimize, and migrate their data analytics environments.
• Customer Support Services: Ongoing technical assistance and expert guidance to ensure the smooth operation and performance of Teradata solutions.

Teradata (symbol: TDC) primarily sells its enterprise data warehousing, analytics, and cloud data platform solutions to other companies (Business-to-Business, or B2B), rather than directly to individuals.

While Teradata's public filings generally indicate that no single customer accounts for 10% or more of its total revenue, meaning there isn't one "major" customer by that financial definition, the company serves a broad base of large enterprise clients across various industries globally. These clients typically include large corporations seeking advanced data analytics and management capabilities.

Examples of well-known public companies that have been identified as Teradata customers through various public sources such as press releases, case studies, or industry reports include:

• Wells Fargo & Company (Symbol: WFC) - A major financial services company.
• The Kroger Co. (Symbol: KR) - One of the largest supermarket chains in the United States.
• AT&T Inc. (Symbol: T) - A global telecommunications conglomerate.
• Siemens AG (Symbol: SIEGY) - A global technology and industrial powerhouse, with U.S. listed ADRs.

These examples illustrate the type of large, data-intensive organizations that leverage Teradata's offerings to manage and analyze their vast amounts of business data.

• Amazon.com, Inc. (AMZN)
• Microsoft Corporation (MSFT)
• Alphabet Inc. (GOOGL)

1. Challenges in Cloud Transition and Intense Competition: Teradata is navigating a difficult transition from its traditional on-premise business model to cloud-based services. This shift has resulted in on-premise erosions, elongated sales cycles, and staged migrations to cloud platforms, which have collectively slowed growth. The company faces intense competition from cloud-native rivals like Snowflake and Databricks, as well as tech giants such as AWS, Microsoft, IBM, Oracle, and SAP, who offer unified analytics platforms and embedded AI-driven data lakes. This competitive pressure, coupled with slow cloud client acquisition and high costs associated with transitioning legacy systems, can lead to a risk of losing customers to competitors during cloud migration processes. Concerns have also been raised regarding Teradata's pricing model being perceived as expensive and its pace of innovation not matching that of newer market entrants.
2. Adaptation to AI and Automation in Data Analytics: The data analytics market is rapidly shifting towards AI-driven solutions and automation, with a significant percentage of organizations planning to adopt these technologies. Competitors are aggressively innovating in this space, offering advanced AI-driven features. Teradata's ability to differentiate itself and adequately invest in AI and automation is crucial, as companies that fail to adapt risk obsolescence in this evolving market. While Teradata emphasizes the importance of "trusted data" for AI success, its capacity to translate this into sustained client growth and competitive differentiation remains a critical challenge.

The clear emerging threat to Teradata is the proliferation and growing adoption of the Lakehouse architecture, primarily championed by companies like Databricks.

The Lakehouse architecture fundamentally challenges the traditional separation of data lakes (for raw, unstructured data) and data warehouses (for structured, high-performance analytical data). By unifying these two paradigms into a single platform, the Lakehouse promises to offer the flexibility and cost-effectiveness of data lakes with the performance, ACID compliance, and governance typically associated with data warehouses. This architectural shift enables enterprises to handle diverse data types and workloads, including advanced analytics, machine learning, and artificial intelligence, on a single, integrated platform.

This directly threatens Teradata's historical position as a specialized, high-performance data warehousing vendor by offering a more agile, unified, and often more cost-efficient alternative for modern data platforms. While Teradata is evolving its own platform to embrace cloud-native capabilities, the Lakehouse represents a distinct architectural paradigm that aims to supersede the need for traditional, specialized data warehouses for many enterprise use cases.

Teradata (NYSE: TDC) operates within significant and expanding addressable markets, primarily centered around data warehousing, cloud analytics, and hybrid cloud solutions.

Global Addressable Markets for Teradata's Main Products and Services:

• Data Warehousing: The global data warehousing market was valued at approximately USD 34.5 billion in 2024. This market is projected to grow to about USD 75.0 billion by 2033, exhibiting a compound annual growth rate (CAGR) of 8.54% from 2025 to 2033. North America currently holds the largest share of this market. Within this, the Data Warehouse as a Service (DWaaS) market alone is estimated at USD 8.13 billion in 2025 and is expected to reach approximately USD 37.84 billion by 2034 globally, growing at a CAGR of 18.64%.
• Cloud Analytics: The global cloud analytics market was valued at around USD 38.48 billion in 2024 and is projected to reach approximately USD 205.51 billion by 2034, with a CAGR of 18.24% between 2024 and 2034. Another estimate places the global cloud analytics market at USD 35.39 billion in 2024, with a projection to reach USD 130.63 billion by 2030 at a CAGR of 25.5%. North America dominated the global market in 2024, accounting for over 38% of the share. The U.S. cloud analytics market specifically is estimated at USD 13.74 billion in 2024 and is expected to reach around USD 74.62 billion by 2034.
• Hybrid Cloud: The global hybrid cloud market was valued at an estimated USD 147.7 billion in 2024. This market is anticipated to reach USD 577.6 billion by 2033, demonstrating a CAGR of 16.14% from 2025 to 2033. North America held the largest share of the hybrid cloud market in 2023. Another source indicates the global hybrid cloud market was valued at US$130.87 billion in 2024 and is expected to reach US$329.72 billion by 2030, with a CAGR of approximately 16.65% from 2025-2030.

Teradata (TDC) is expected to drive future revenue growth over the next two to three years through several key strategies, primarily centered around its cloud offerings and advanced analytics capabilities:

1. Growth in Public Cloud Annual Recurring Revenue (ARR): Teradata is heavily focused on expanding its public cloud business. The company reported an 11% increase in public cloud ARR in Q3 2025 to $633 million. For the full year 2025, Teradata projects public cloud ARR growth to be between 14% and 18% year-over-year in constant currency. This growth is fueled by increasing demand for its cloud solutions and a broader industry shift towards cloud-based solutions. Teradata also anticipates an improvement in overall retention rates, which is expected to further contribute to ARR.
2. Expansion and Adoption of VantageCloud Lake and ClearScape Analytics: Teradata's VantageCloud Lake, built on a new cloud-native architecture, is designed to broaden the company's customer base beyond traditional IT-managed enterprise workloads by offering flexible, low-cost object storage solutions and supporting diverse use cases. VantageCloud Lake is equipped with advanced data analytics capabilities, including ClearScape Analytics, which is well-suited for complex and mission-critical analytics workloads, including AI and machine learning. The integration of GPU-accelerated compute for generative AI use cases with VantageCloud Lake and ClearScape Analytics is also a key driver, aiming to accelerate ROI for customers.
3. Strategic Shift Towards AI Services and Differentiated Analytics Capabilities: Teradata is transitioning its services business from traditional migration projects to delivering AI services, which is expected to enhance performance in the coming year. The company plans to leverage its strong reputation for deep analytics and its optimized ecosystem for complex data workloads to capture a larger share of high-value analytics projects. Innovations in areas like the Enterprise Vector Store and a focus on "Trusted AI" are central to empowering customers with faster and more confident decision-making, thereby driving growth.
4. Renewed Focus on Total ARR Growth and Improved Customer Retention: While Teradata has faced declines in overall revenue, the company has emphasized a renewed focus on total ARR growth following a period of quarterly declines. For 2025, total ARR growth is projected to be between flat and 2% year-over-year in constant currency. The outperformance of recurring revenue portions of the business compared to less predictable segments is considered a positive indicator for future revenue growth. This strategic emphasis on recurring revenue and customer retention is critical for stabilizing and expanding the company's revenue base.

Share Repurchases

• On November 1, 2021, Teradata's Board of Directors authorized an additional $1 billion for share repurchases, bringing the total authorization to approximately $1.3 billion under a program set to expire on December 31, 2025.
• Teradata executed significant share repurchases, totaling $387 million in 2022, $308 million in 2023, and $215 million in 2024. This included a $250 million accelerated share repurchase agreement in the first quarter of 2022.
• Year-to-date through the third quarter of 2025, the company repurchased $102 million of common stock, and aims to return at least 50% of its free cash flow to shareholders in the form of share repurchases for the full year 2025.

Share Issuance

• No direct dollar amount of shares issued by Teradata was identified over the last 3-5 years. However, shares outstanding were approximately 93.7 million at September 30, 2025, a decrease from 95.1 million at December 31, 2024, largely reflecting the impact of share repurchases.

Capital Expenditures

• Teradata's capital expenditures, primarily focused on property, equipment, and capitalized software, were $16 million in 2021, $20 million in 2022, and $20 million in 2023.
• In 2024, capital expenditures increased to $26 million.
• For 2025, Teradata anticipates capital expenditures to be approximately $20 million.