Top 10 Analytics Companies in 2024

Companies	Employees	HQ location	Revenue	Website	Industry
Oracle	View 137,397 employees	🇺🇸 United States, Texas, Austin	$ >1000M	oracle.com	Information Technology, Internet Services, Software, Data and Analytics, Hardware, Apps
Atento	View 78,250 employees	🇪🇸 Spain, Comunidad De Madrid, Madrid	$ >1000M	atento.com	Software, Data and Analytics, Artificial Intelligence, Science and Engineering, Information Technology, Professional Services, Sales and Marketing
Hewlett Packard Enterprise	View 154,574 employees	🇺🇸 United States, Texas, Spring	$ >1000M	hpe.com	Hardware, Information Technology, Internet Services, Software, Data and Analytics
Iqvia	View 66,029 employees	🇺🇸 United States, North Carolina, Durham	$ 500-1000M	iqvia.com	Health Care, Data and Analytics, Artificial Intelligence, Software, Science and Engineering, Biotechnology
EBay	View 1,389 employees	🇺🇸 United States, California, San Jose	$ >1000M	ebay.com	Data and Analytics, Software, Information Technology, Design, Commerce and Shopping, Hardware
Yandex	View 14,434 employees	🇷🇺 Russia, Moskva, Moscow	$ >1000M	yandex.com	Apps, Data and Analytics, Information Technology, Software, Mobile, Platforms, Sales and Marketing, Design
Kaufland Information Systems	View 3,415 employees	🇩🇪 Germany, Baden-Württemberg, Neckarsulm	$ 500-1000M	kaufland.de	Advertising, Sales and Marketing, Data and Analytics, Professional Services
Asda	View 319 employees	🇬🇧 United Kingdom, Yorkshire And The Humber, Leeds	$ 500-1000M	asda.com	Software, Apps, Professional Services, Data and Analytics, Internet Services
S&P Global Market Intelligence	View 35,081 employees	🇺🇸 United States, New York, City Of New York	$ >1000M	spglobal.com	Data and Analytics, Design, Financial Services, Professional Services, Lending and Investments
Nielsen	View 1,201 employees	🇺🇸 United States, New York	$ >1000M	nielsen.com	Media and Entertainment, Data and Analytics, Content and Publishing, Video, Internet Services, Design, Sales and Marketing, Advertising

1. Oracle

Oracle, a prominent force in the technology sector, excels in providing analytics solutions that empower businesses across various industries to transform data into actionable insights. Their comprehensive suite of analytics tools enables companies to enhance decision-making, optimize operations, and predict future trends effectively. Oracle’s dedication to innovation and integration, particularly with advanced AI and machine learning capabilities, ensures that businesses have the support needed to navigate complex data landscapes and drive sustained growth and competitiveness in their respective markets.

Location 🇺🇸 United States, Texas, Austin	Size View 137,397 employees
Revenue $ >1000M	Industries Information Technology, Internet Services, Software, Data and Analytics, Hardware, Apps
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2. Atento

Atento is a leading provider in the analytics sector, known for its dedicated expertise in transforming data into actionable insights. Guided by precision and innovation, Atento assists organizations across various industries in harnessing the full potential of their data. Their sophisticated analytical tools and tailored solutions enable businesses to optimize operations, enhance customer experiences, and drive strategic decision-making. Atento stands out for its commitment to leveraging advanced analytics to deliver tangible business outcomes, ensuring companies not only adapt to market changes but thrive in competitive environments.

Location 🇪🇸 Spain, Comunidad De Madrid, Madrid	Size View 78,250 employees
Revenue $ >1000M	Industries Software, Data and Analytics, Artificial Intelligence, Science and Engineering, Information Technology, Professional Services, Sales and Marketing
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3. Hewlett Packard Enterprise

Hewlett Packard Enterprise (HPE) is a renowned leader in the tech industry, specializing in providing cutting-edge analytics solutions that transform data into actionable insights. HPE’s analytics technologies empower businesses to accelerate decision-making processes, enhance operational efficiencies, and foster innovation by effectively managing and analyzing vast amounts of data. With robust tools and platforms designed for the modern data environment, HPE supports organizations in diverse sectors to adapt to rapidly changing market conditions and maintain a competitive edge.

Location 🇺🇸 United States, Texas, Spring	Size View 154,574 employees
Revenue $ >1000M	Industries Hardware, Information Technology, Internet Services, Software, Data and Analytics
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4. Iqvia

IQVIA is a prominent player in the field of healthcare analytics, leveraging advanced data-driven insights to enhance clinical research and healthcare outcomes. By integrating vast datasets and sophisticated analysis tools, IQVIA provides comprehensive solutions for pharmaceutical and life sciences industries to accelerate innovation and optimize efficiency. The company’s expertise in predictive analytics and real-world evidence positions it as a crucial partner for organizations aiming to make informed decisions and improve patient care on a global scale. Through its innovative approaches, IQVIA continues to redefine the landscape of healthcare analytics.

Location 🇺🇸 United States, North Carolina, Durham	Size View 66,029 employees
Revenue $ 500-1000M	Industries Health Care, Data and Analytics, Artificial Intelligence, Software, Science and Engineering, Biotechnology
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5. EBay

eBay, a global leader in e-commerce, leverages advanced analytics to refine its marketplace, enhancing both buyer and seller experiences. By analyzing vast amounts of data, eBay offers tailored search results, pricing insights, and personalized recommendations, ensuring users find exactly what they’re looking for. This data-driven approach not only boosts user engagement but also facilitates efficient transactions, making eBay a vital platform for millions of active buyers and sellers worldwide. Through continuous innovation in analytics, eBay maintains its relevance and competitive edge in the dynamic world of online retail.

Location 🇺🇸 United States, California, San Jose	Size View 1,389 employees
Revenue $ >1000M	Industries Data and Analytics, Software, Information Technology, Design, Commerce and Shopping, Hardware
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6. Yandex

Yandex is a prominent technology company renowned for its strong presence in analytics, search engine technologies, and online advertising. As a leader in the field of analytics, Yandex provides robust tools that enable businesses to gather insightful data, optimize their digital strategies, and enhance overall performance. Their comprehensive suite of analytics products, including Yandex.Metrica, offers advanced tracking, reporting, and analytical capabilities, making it invaluable for companies aiming to understand consumer behavior and refine their online presence. Yandex’s innovation in machine learning and AI further cements its position as a key player in transforming how businesses leverage data for strategic advantage.

Location 🇷🇺 Russia, Moskva, Moscow	Size View 14,434 employees
Revenue $ >1000M	Industries Apps, Data and Analytics, Information Technology, Software, Mobile, Platforms, Sales and Marketing, Design
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7. Kaufland Information Systems

Kaufland Information Systems is a key player in the analytics domain, providing advanced solutions tailored to optimize retail operations. Leveraging cutting-edge technologies, they deliver insights that help businesses streamline supply chains, enhance customer experiences, and boost overall efficiency. Kaufland Information Systems excels in transforming vast amounts of data into actionable strategies, enabling retailers to thrive in a competitive market by making data-driven decisions. Their expertise in analytics paves the way for innovation and operational excellence in the retail sector.

Location 🇩🇪 Germany, Baden-Württemberg, Neckarsulm	Size View 3,415 employees
Revenue $ 500-1000M	Industries Advertising, Sales and Marketing, Data and Analytics, Professional Services
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8. Asda

Asda, a prominent UK-based supermarket chain, is leveraging analytics to enhance its retail operations and customer service. By integrating advanced data analysis techniques, Asda optimizes inventory management, tailors marketing strategies, and improves customer experiences across its stores. This focus on analytics also allows Asda to forecast trends, manage supply chains more efficiently, and provide personalized shopping experiences, thereby increasing operational efficiency and customer satisfaction. Asda’s strategic use of analytics underscores its commitment to innovation within the retail sector, maintaining its competitive edge by continually adapting to consumer needs and preferences.

Location 🇬🇧 United Kingdom, Yorkshire And The Humber, Leeds	Size View 319 employees
Revenue $ 500-1000M	Industries Software, Apps, Professional Services, Data and Analytics, Internet Services
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9. S&P Global Market Intelligence

S&P Global Market Intelligence, a division of S&P Global, is a powerhouse in providing high-impact analytics and data solutions to professionals in various fields, including finance, insurance, and real estate. Leveraging advanced analytics, comprehensive datasets, and deep industry knowledge, S&P Global Market Intelligence offers unparalleled insights that help businesses understand market trends, assess risks, and make informed decisions. Their analytical tools and solutions enable companies to stay ahead of the curve in a rapidly evolving economic landscape, ensuring they remain competitive and resilient in their respective industries.

Location 🇺🇸 United States, New York, City Of New York	Size View 35,081 employees
Revenue $ >1000M	Industries Data and Analytics, Design, Financial Services, Professional Services, Lending and Investments
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10. Nielsen

Nielsen is a global leader in data analytics and measurement, renowned for its comprehensive understanding of consumer behavior and media consumption. With its advanced tools and methodologies, Nielsen delivers precise data on what consumers watch and buy, enabling businesses to optimize their advertising campaigns and product strategies effectively. By integrating big data with detailed insights, Nielsen helps clients around the world enhance their market position by making informed and strategic decisions based on real-world trends and analytics. Their expertise in market research solidifies their reputation as an essential partner in media, retail, and consumer goods industries.

Location 🇺🇸 United States, New York	Size View 1,201 employees
Revenue $ >1000M	Industries Media and Entertainment, Data and Analytics, Content and Publishing, Video, Internet Services, Design, Sales and Marketing, Advertising
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Things to Consider When Prospecting into Analytics Companies

Common Pain Points and Challenges for Companies in Analytics

Data Silos and Integration Issues

Data silos present a significant barrier in analytics, making it difficult to gain a holistic view of data across the organization.

Inconsistent data access across departments.
Complex data integration processes.
Reduced overall effectiveness of data analytics.

Sales Insight: Use this challenge to champion the adoption of integrated data platforms that provide a unified view. Proposing solutions that emphasize easy integration can make your offerings more attractive, showing your understanding of and ability to simplify complex data landscapes.

Real-Time Data Processing

The delay in processing data can hinder timely decision-making, which is crucial in today’s fast-paced market environments.

Delays in updating data.
Difficulty in tracking live data for immediate actions.
Competitive disadvantage due to slower insights.

Sales Insight: Focus on solutions that offer real-time analytics. This will not only enhance your value proposition but also demonstrate your ability to help businesses act swiftly on critical data insights, keeping them ahead of the curve.

Data Privacy and Security Concerns

With increasing regulations and growing cyber threats, maintaining data privacy and security is more challenging and crucial than ever.

Compliance with various international data protection regulations.
Risk of data breaches.
Potential loss of customer trust due to security issues.

Sales Insight: Highlighting your knowledge and solutions in data security can reassure potential clients that their data is in safe hands. Emphasize compliance and robust security measures in your offerings to build trust and differentiate in the marketplace.

Skill Gap in Data Analysis

The gap between available data and the ability to interpret it can lead to missed opportunities and insights.

Lack of trained professionals.
Over-reliance on data specialists.
Difficulty in democratizing data access across roles.

Sales Insight: Promote training and intuitive analytics tools that require less specialized knowledge to operate. Offering solutions that simplify complex data interpretations can make your service appealing to a broader audience and enhance user adoption.

Cost of Data Management and Analytics Tools

The high cost of implementing robust analytics tools can be a barrier for many businesses, especially small to medium-sized enterprises.

Significant initial investment.
Ongoing maintenance costs.
Justifying ROI to stakeholders.

Sales Insight: Stress the long-term cost benefits of efficient data analytics tools during your discussions. Offering scalable solutions that grow with the client’s needs can help them see a clear path to a return on their investment, making your proposal more compelling.

Adapting to Continuously Changing Technologies

The fast pace of technological advancement in analytics tools can make it difficult for businesses to keep up.

Frequent need for updates and training.
Risk of obsolescence.
Disruption in established data processes.

Sales Insight: Emphasize your commitment to continuous learning and adaptation in your sales pitches. Offering solutions that are flexible and easily upgradable can position you as a forward-thinking partner, ready to help navigate through the technological evolutions in the analytics space.

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Key Decision-Makers and Influencers in Analytics

Key Departments

IT & Technical Operations

Insight: Focuses on the infrastructure and tools necessary for data processing and analytics. Leaders in this department prioritize solutions that offer robustness, scalability, and security to handle large volumes of data efficiently.

Data Science

Insight: This department looks for cutting-edge analytical tools that enable sophisticated data modeling, predictive analysis, and machine learning capabilities. Decision-makers value accuracy, speed, and the ability to gain actionable insights.

Marketing

Insight: Marketing professionals in the analytics industry rely on data to optimize strategies and measure success. They search for solutions that can provide detailed consumer insights and enhance campaign performance.

Sales

Insight: Sales teams need reliable data to refine their strategies and improve their targeting. Decision-makers focus on analytics solutions that can provide real-time insights into customer behaviors and market trends.

Finance

Insight: Charged with overseeing the financial implications of data initiatives, this department evaluates the cost-effectiveness and ROI of analytics tools. They prioritize solutions that align with the company’s financial strategies and objectives.

Risk Management

Insight: This department uses analytics to identify, assess, and mitigate risks. They look for solutions that can provide thorough risk analysis and reporting features to support compliance and regulatory requirements.

Seniority Level

C-level Executives (e.g., Chief Data Officer, Chief Analytics Officer)

Insight: Focus on how analytics tools can foster data-driven decision-making and enhance competitive advantage. They evaluate solutions based on potential to drive business growth and provide actionable insights from vast data pools.

Vice Presidents (VP) of Analytics or Data Strategy

Insight: Look for analytics platforms that can integrate seamlessly with existing systems, ensuring the utility and scalability of the tool. Their decisions revolve around the ROI of the tool and its ability to meet future data needs.

Directors of Business Intelligence (BI)

Insight: Focus on the specific capabilities of analytics tools like real-time reporting, predictive analytics, and user-friendly dashboards. They need tools that directly contribute to tactical day-to-day operations and facilitate easier decision-making processes.

IT Managers

Insight: Assess the technical compatibility of analytics tools with existing IT infrastructure. They prioritize solutions that promise easy integration, strong customer support, and robust security features to protect data integrity.

Data Science Managers

Insight: Evaluate potential analytics tools for their advanced features, like machine learning capabilities, accuracy of predictive models, and ease of use for the data team. Their choices are heavily influenced by tools that enhance their operational efficiency and data model sophistication.

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Buying Processes and Behaviors in Analytics

Decision-Making Process

The decision-making process in the analytics industry typically involves multiple stakeholders.

The complexity of analytics solutions necessitates input from various departments such as IT, data science, and business analysis.
Purchasing decisions often require approval from higher-level executives who focus on strategic alignment.
Due to the significant investment in analytics tools, risk assessment is typically thorough and involves multiple rounds of evaluation.

How to leverage: As a salesperson, establish connections with various stakeholders early in the process. Offer comprehensive presentations that address the specific concerns of each department. Providing case studies or evidence of ROI from similar organizations can help address risk concerns and speed up the decision process.

Emphasis on Scalability and Integration

Analytics companies prioritize scalability and ease of integration when selecting products.

They look for products that can grow with their rapidly changing data needs without requiring frequent upgrades.
Integration with existing tools and systems is vital to avoid disruptions in current workflows.
Future-proofing their technology investment is a priority to minimize future costs and compatibility issues.

How to leverage: Focus your pitch on the adaptability and forward-compatibility of your product. Demonstrating how your solution can integrate seamlessly with existing technologies and scale according to the client’s growth will make your product more attractive.

Compliance and Security Concerns

Data compliance and security are top priorities in the analytics industry.

Companies must adhere to various regulations like GDPR, HIPAA, or CCPA, depending on their geographic location and industry sector.
The increasing prevalence of data breaches heightens the need for secure data handling and storage solutions.
Trust is a critical factor in vendor selection, as the potential costs of a security failure can be catastrophic.

How to leverage: Ensure your product’s compliance features are front and center in your discussions. Provide detailed information on how your solution fulfills industry-specific security standards and regulations. Building a reputation as a secure and compliant provider can significantly boost your credibility and trustworthiness in the market.

Value Over Cost

Analytics firms often value long-term benefits and overall value over initial cost savings.

Long-term reliability and support services can sway decision-makers more than a lower upfront cost.
The ability to extract maximum insights from data can lead to significant competitive advantages, making a higher initial investment worthwhile.
Companies are willing to invest more in solutions that offer clear and tangible ROI demonstrations.

How to leverage: When engaging with potential clients, emphasize the long-term value and ROI of your analytics solutions. Prepare to present detailed case studies or hypothetical scenarios that showcase the potential business impact and cost savings over time.

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Prospecting Tips for Selling to Analytics Companies

Title: Understand Their Specific Data Challenges

Analytics companies often grapple with specific data-related challenges such as data integration, quality, or real-time processing. Show that you understand these pain points by speaking directly to them.

Tip: Ask targeted questions about their current data management systems and the challenges they face to tailor your pitch effectively.

Title: Emphasize Security and Compliance

With increasing amounts of data, security and regulatory compliance are top concerns in the analytics industry. Demonstrating your knowledge here is crucial.

Tip: Highlight the security measures your software adopts, and explain how it helps comply with regulations like GDPR or CCPA.

Title: Focus on Scalability

Companies in the analytics sector often prioritize scalability due to the exponential growth of data volume and analytics complexity.

Tip: Discuss how your solution can grow and adapt with their expanding data needs and the increasing sophistication of analytics methods.

Title: Highlight Integration Capabilities

Integration with existing systems and platforms is often a dealbreaker in analytics. Demonstrating seamless integration capabilities can set you apart.

Tip: Mention how your product seamlessly integrates with popular analytics platforms and data management systems, reducing the complexity and resources required for implementation.

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Want to see more Analytics companies?

Things to Consider When Prospecting into Analytics Companies

Common Pain Points and Challenges for Companies in Analytics

Skill Gap in Data Analysis

Cost of Data Management and Analytics Tools

Adapting to Continuously Changing Technologies

Start finding new prospects that match your ICP

Key Decision-Makers and Influencers in Analytics

Key Departments

Seniority Level

Not joined surfe yet? Sign up to Surfe today

Buying Processes and Behaviors in Analytics

Value Over Cost

Not joined Surfe yet? Get 20 free credits

Prospecting Tips for Selling to Analytics Companies

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Top 10 Analytics Companies — a guide for sales

Want to see more Analytics companies?

Things to Consider When Prospecting into Analytics Companies

Common Pain Points and Challenges for Companies in Analytics

Adapting to Continuously Changing Technologies

Start finding new prospects that match your ICP

Key Decision-Makers and Influencers in Analytics

Key Departments

Seniority Level

Not joined surfe yet? Sign up to Surfe today

Buying Processes and Behaviors in Analytics

Not joined Surfe yet? Get 20 free credits

Prospecting Tips for Selling to Analytics Companies