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TwitterIn 2023, the leading market research company in terms of global research revenue was Gartner, generating approximately *** billion U.S. dollars. In the same year, American company IQVIA accrued roughly *** billion U.S. dollars. Market research companies - global players Market research is an important business strategy involving the gathering of information about an organization’s target market. In terms of global research revenue, American company Gartner was the leading market research company worldwide. Headquartered in the United States, the number of employees working for the company totaled ****** people in 2023. The sixth largest market research company in terms of global research revenue was Kantar. Kantar Group is a UK-based international network of ** companies, including Millward Brown and IMRB International. In 2022, the research revenue of Kantar amounted to approximately ***** billion U.S. dollars. Another European leader, and ranked seventh in the global ranking, was Ipsos. The company had a research revenue of over *** billion U.S. dollars. The largest share of market research revenue made by Ipsos was generated in Europe, the Middle East and Africa in 2023. United States dominant in a global market The global revenue of the market research industry reached over ** billion U.S. dollars in 2023, over half of which came from the United States. The number of full-time employees working for the top ten market research companies in the United States totaled almost ****** in 2020.
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TwitterIn 2021, Gartner was the leading company in the market research and data analytics sector in the United States. Roughly ** million U.S. dollars separated the top two companies, as Nielsen generated a revenue of approximately *** billion U.S. dollars compared to the **** billion U.S. dollars generated by Gartner.
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Market research companies have benefited from research and development (R&D) expenditure growth as companies develop new products to satisfy consumer demand. Downstream companies continue to rely on market research to create new products and campaigns that fit evolving consumer preferences. As companies strive to enhance consumer-centric strategies amid increased consumer spending, demand for tailored market research solutions has surged. A 10.7% surge in corporate profit over the past five years enabled businesses to outsource more of their research operations to professional market researchers. The digital shift has further transformed the landscape, with companies pioneering new research tools to tap into the vast potential of big data to enhance accessibility and participation. These trends have led to revenue growing at a CAGR of 3.8% to an estimated $36.4 billion over the past five years, including an estimated 2.1% boost in 2025 alone. Consumers' and advertisers' growing reliance on the internet has led to new metrics market researchers can use to better understand consumers. These have allowed new companies to enter the industry and driven providers to adjust services and implement new technologies. The rising use of social media to advertise and market new products across platforms like TikTok and Instagram also contributed to the growing demand for market research. These technological advancements improved data collection and analysis methods, offering actionable insights that helped companies refine marketing strategies and develop better products. New opportunities continue to drive revenue growth, but expansions to services and onboarding of new technology cut researchers’ profitability. Moving forward, the industry will benefit from acceleration in R&D budgets and technological and a data procurement evolution. Companies will strengthen their R&D budgets as economic conditions improve, further driving demand for advanced market research tools. The proliferation of online commerce and smart technologies will give researchers unprecedented access to consumer data. Technological developments, such as artificial intelligence (AI), are poised to create new metrics based on human reactions, which companies can leverage to better understand consumer behavior and preferences. Access to these metrics, however, will lead to tightening data privacy regulations, which may result in higher compliance costs that eat into profitability. Finally, growing emphasis on ethical practices, transparency and data security will shape consumer trust and research standards, creating new opportunities and challenges in a rapidly evolving marketplace. Revenue is poised to grow at a CAGR of 2.4% to an estimated $41.0 billion through the end of 2030.
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TwitterThe global market research industry reached a record high market size of approximately ** billion U.S. dollars in 2023. Over the last decade, the global market research industry has performed contrary to broader economic trends as the industry has continued to grow. Figures for 2023 signaled an increase of about *** billion U.S. dollars compared to the previous year. Market research industryMarket research is the activity of gathering information about markets in which an organization sells their produces and/or services. This often includes detailed qualitative understandings of consumer attitudes and preferences through tools such interviews, surveys, and increasingly, big-data analytics. The leading market research company worldwide was U.S.-based Gartner in 2022. Slow growth in EuropeWhile growth in the United States has been significant, the revenue of the market research industry in Europe grew just slightly since 2014. Some analysts expect this poor performance to continue into the near future for *** reasons. First is the short- and mid-term uncertainty created by Brexit, impacting the reliability of any market research conducted prior to the issue being resolved. Second is the implementation of the EU General Data Protection Regulation (GDPR) laws in May 2018, which limit what companies are able to do with personal data. A majority of IT professionals in France, Germany and the UK agree the GDPR laws will prevent personal data being passed on to third parties, reducing the amount of data available to researchers in Europe compared to other regions.
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Dental Burnout Ovens Market, By Type (Round, Square, and Triangular), By Application (Dental Laboratories and Scientific Research), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Trends, Analysis and Forecast till 2029
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TwitterThis dataset contains detailed information on the top 100 American companies, ranked by revenue. The dataset includes key metrics such as company rank, name, industry, revenue (in USD millions), revenue growth percentage, number of employees, and headquarters location. This comprehensive dataset provides a rich resource for analyzing industry trends, financial performance, and the geographic distribution of major companies in the U.S. economy. It is ideal for market research, competitive analysis, and business strategy development.
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The Best Employer Consulting Firm market has seen significant growth in recent years, underscoring the increasing importance of workplace culture and employee satisfaction in driving organizational success. As companies strive to attract and retain top talent, consulting firms specializing in employer branding and w
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TwitterSuccess.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.
Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.
Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.
Why Choose Success.ai?
Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.
Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:
Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.
Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.
From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.
Key Use Cases:
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TwitterSuccess.ai’s B2B Marketing Data and Contact Data for Global Marketing Leaders empowers businesses to connect with chief marketing officers (CMOs), marketing strategists, and industry decision-makers worldwide. With access to over 170M verified profiles, including work emails and direct phone numbers, this dataset ensures your outreach efforts reach the right audience effectively.
Our AI-powered platform continuously updates and validates contact data to maintain 99% accuracy, providing actionable insights for marketing campaigns, sales strategies, and recruitment initiatives. Whether you’re targeting CMOs in Fortune 500 companies or strategists in innovative startups, Success.ai delivers reliable data tailored to meet your business goals.
Key Features of Success.ai’s Marketing Leader Contact Data - Comprehensive Coverage Across the Marketing Industry Access profiles for marketing leaders across diverse industries and regions:
Chief Marketing Officers (CMOs): Decision-makers shaping global marketing strategies. Marketing Strategists: Experts driving innovative campaigns and business growth. Digital Marketing Heads: Leaders overseeing digital transformation initiatives. Brand Managers: Professionals managing brand identity and outreach efforts. Content and SEO Specialists: Key contributors to content strategy and visibility.
AI-Validated Accuracy: Industry-leading AI technology ensures every contact detail is verified. Real-Time Profile Updates: Data is continuously refreshed to reflect the most current information. Reliable Engagement: Minimized bounce rates for seamless communication with decision-makers.
API Integration: Seamlessly integrate contact data into your CRM or marketing platforms. Custom Flat Files: Receive datasets customized to your specifications, ready for immediate use.
Why Choose Success.ai for Marketing Data?
Best Price Guarantee We provide the most competitive pricing in the industry, ensuring the best value for global, verified contact data.
Global Compliance and Ethical Practices Our data collection and processing adhere to strict compliance standards, including GDPR, CCPA, and other regional data regulations, ensuring ethical and secure usage.
Strategic Advantages for Your Business
Precise Marketing Campaigns: Create highly targeted campaigns that resonate with marketing leaders. Effective Sales Outreach: Accelerate sales processes with direct access to CMOs and strategists. Recruitment Efficiency: Source top-tier marketing talent with verified contact data. Market Intelligence: Leverage enriched data insights to understand industry trends and optimize strategies. Partnership Development: Build and nurture relationships with influential marketing professionals.
Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 700M Global Professional Profiles 70M Verified Company Profiles
Key APIs for Enhanced Functionality
Enrichment API Keep your contact database updated with real-time enrichment capabilities, ensuring relevance for dynamic outreach efforts.
Lead Generation API Maximize your lead generation campaigns with accurate, verified data, including contact information for global marketing leaders. Our API supports up to 860,000 API calls per day, enabling robust scalability for your business.
Use Cases
Targeted Marketing Campaigns Reach CMOs and marketing strategists with personalized campaigns designed to deliver measurable ROI.
Sales Pipeline Acceleration Engage directly with decision-makers to shorten sales cycles and boost deal closure rates.
Talent Recruitment Identify and recruit top-tier marketing talent to strengthen your team.
Partnership Building Establish meaningful connections with global marketing leaders to foster collaboration.
Strategic Planning Utilize detailed firmographic and demographic insights for data-driven decision-making.
What Makes Success.ai Stand Out?
Success.ai’s B2B Contact Data for Global Marketing Leaders is your ultimate solution for connecting with top-tier marketing professionals. From CMOs driving global strategies to strategists shaping impactful campaigns, our database ensures you reach the right audience to grow your business.
No one beats us on price. Period.
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Our technology enables us to convert unstructured content into accessible, actionable data that defines what a company does, what products it produces, what technology it uses and what its ESG profile is. In total, we capture more than 100 attributes of each company. We do all of this at high velocity, capturing new businesses and validating all attributes of existing business every week. The speed of our data collection and the frequency of our refresh cycles enable us to monitor material changes to millions of companies.
We deliver our solution through APIs that support two broad uses: searching and data enrichment. Our APIs are easy and quick to implement, increasing the speed to value creation for our partner and end clients.
Our high quality data supports a number of use cases including procurement, SMB lending, SMB underwriting and private company market intelligence. We work with a variety of fintech, insuretech, procuretech and large-scale data aggregators in order to reach end clients.
To date, we have helped many Tier 1 enterprises including one of Canada's largest banks, a top 10 insurance company that is part of a $15B global organization, and the largest global consulting firm.
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Hybrid Dental Vacuum Pumps Market, By Type (1-workstation, 2-workstation, 3-workstation, and 4-workstation), By Application (Dental Laboratories and Dental Clinics), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Trends, Analysis and Forecast till 2029
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The Data Scraping Service market has emerged as a vital component for businesses striving to harness the vast amounts of information available on the internet. This service enables companies to extract valuable data from websites, enabling informed decision-making and strategic planning. Industries such as e-commerc
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Key strategies adopted by top tier companies involved in the global cold chain market and their market shares, growth strategies and financial details.
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Explore the Top 50 US Tech Companies Dataset with metrics like revenue, market cap, employee size, and more. Perfect for market research, business analysis, and AI projects.
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TwitterThe dataset contains a total of 25,161 rows, each row representing the stock market data for a specific company on a given date. The information collected through web scraping from www.nasdaq.com includes the stock prices and trading volumes for the companies listed, such as Apple, Starbucks, Microsoft, Cisco Systems, Qualcomm, Meta, Amazon.com, Tesla, Advanced Micro Devices, and Netflix.
Data Analysis Tasks:
1) Exploratory Data Analysis (EDA): Analyze the distribution of stock prices and volumes for each company over time. Visualize trends, seasonality, and patterns in the stock market data using line charts, bar plots, and heatmaps.
2)Correlation Analysis: Investigate the correlations between the closing prices of different companies to identify potential relationships. Calculate correlation coefficients and visualize correlation matrices.
3)Top Performers Identification: Identify the top-performing companies based on their stock price growth and trading volumes over a specific time period.
4)Market Sentiment Analysis: Perform sentiment analysis using Natural Language Processing (NLP) techniques on news headlines related to each company. Determine whether positive or negative news impacts the stock prices and volumes.
5)Volatility Analysis: Calculate the volatility of each company's stock prices using metrics like Standard Deviation or Bollinger Bands. Analyze how volatile stocks are in comparison to others.
Machine Learning Tasks:
1)Stock Price Prediction: Use time-series forecasting models like ARIMA, SARIMA, or Prophet to predict future stock prices for a particular company. Evaluate the models' performance using metrics like Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).
2)Classification of Stock Movements: Create a binary classification model to predict whether a stock will rise or fall on the next trading day. Utilize features like historical price changes, volumes, and technical indicators for the predictions. Implement classifiers such as Logistic Regression, Random Forest, or Support Vector Machines (SVM).
3)Clustering Analysis: Cluster companies based on their historical stock performance using unsupervised learning algorithms like K-means clustering. Explore if companies with similar stock price patterns belong to specific industry sectors.
4)Anomaly Detection: Detect anomalies in stock prices or trading volumes that deviate significantly from the historical trends. Use techniques like Isolation Forest or One-Class SVM for anomaly detection.
5)Reinforcement Learning for Portfolio Optimization: Formulate the stock market data as a reinforcement learning problem to optimize a portfolio's performance. Apply algorithms like Q-Learning or Deep Q-Networks (DQN) to learn the optimal trading strategy.
The dataset provided on Kaggle, titled "Stock Market Stars: Historical Data of Top 10 Companies," is intended for learning purposes only. The data has been gathered from public sources, specifically from web scraping www.nasdaq.com, and is presented in good faith to facilitate educational and research endeavors related to stock market analysis and data science.
It is essential to acknowledge that while we have taken reasonable measures to ensure the accuracy and reliability of the data, we do not guarantee its completeness or correctness. The information provided in this dataset may contain errors, inaccuracies, or omissions. Users are advised to use this dataset at their own risk and are responsible for verifying the data's integrity for their specific applications.
This dataset is not intended for any commercial or legal use, and any reliance on the data for financial or investment decisions is not recommended. We disclaim any responsibility or liability for any damages, losses, or consequences arising from the use of this dataset.
By accessing and utilizing this dataset on Kaggle, you agree to abide by these terms and conditions and understand that it is solely intended for educational and research purposes.
Please note that the dataset's contents, including the stock market data and company names, are subject to copyright and other proprietary rights of the respective sources. Users are advised to adhere to all applicable laws and regulations related to data usage, intellectual property, and any other relevant legal obligations.
In summary, this dataset is provided "as is" for learning purposes, without any warranties or guarantees, and users should exercise due diligence and judgment when using the data for any purpose.
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Global Dental Polymerization Flasks Market, By Type (Round, Square, Triangular, and Other), By Application (Dental Laboratories and Scientific Research), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Trends, Analysis and Forecast till 2029
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Discover the top 10 diamond companies in the world and learn about their impact on the global diamond market from mining to retail.
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TwitterSuccess.ai’s Consumer Marketing Data for Food, Beverage & Consumer Goods Professionals Globally provides a comprehensive dataset tailored for businesses seeking to connect with decision-makers and marketing professionals in these dynamic industries. Covering roles such as brand managers, marketing strategists, and product developers, this dataset offers verified contact details, decision-maker insights, and actionable business data.
With access to over 700 million verified global profiles, Success.ai ensures your marketing, sales, and research efforts are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is essential for businesses aiming to lead in the food, beverage, and consumer goods sectors.
Why Choose Success.ai’s Consumer Marketing Data?
Verified Contact Data for Precision Targeting
Comprehensive Coverage Across Global Markets
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles
Advanced Filters for Precision Campaigns
Regional Trends and Consumer Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Brand Outreach
Product Development and Launch Strategies
Sales and Partnership Development
Market Research and Competitive Analysis
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Acc...
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The Global Data Quality Tools Market size was valued at USD 2.1 billion in 2022 and is projected to grow at a CAGR of around 18.5% during the forecast period 2024-30. Experian PLC, IBM Corporation, Informatica, Information Builders Inc are top data quality tools companies.
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According to our latest research, the global supply chain training market size in 2024 reached USD 4.3 billion, reflecting robust and sustained demand across industries seeking to enhance supply chain competencies. The market is expected to grow at a CAGR of 8.6% from 2025 to 2033, with the forecasted market size reaching USD 8.7 billion by 2033. This impressive growth trajectory is primarily driven by increasing supply chain complexities, digital transformation initiatives, and the urgent need for agile, resilient operations in a post-pandemic business environment. As per the latest research, organizations worldwide are prioritizing supply chain training to mitigate risks, improve efficiency, and stay competitive in a rapidly evolving global market.
A primary growth factor for the supply chain training market is the accelerating pace of digitalization across supply chain functions. The proliferation of advanced technologies such as artificial intelligence, machine learning, blockchain, and Internet of Things (IoT) is fundamentally reshaping supply chain management. Organizations are compelled to upskill their workforce to effectively leverage these innovations, driving demand for specialized training programs. Furthermore, the shift towards data-driven decision-making and the adoption of integrated supply chain platforms necessitate comprehensive training to ensure seamless technology integration and operational excellence. As companies embrace automation and advanced analytics, the need for continuous learning and upskilling in supply chain processes becomes a strategic imperative, fueling market growth.
Another significant driver is the heightened focus on supply chain resilience and risk management. The disruptions caused by global events such as the COVID-19 pandemic, geopolitical tensions, and natural disasters have underscored the vulnerabilities in traditional supply chain models. Organizations are investing heavily in training programs that emphasize risk assessment, scenario planning, and crisis management to build resilient supply chains. This trend is particularly pronounced in sectors like healthcare, food & beverage, and logistics, where uninterrupted supply and regulatory compliance are mission-critical. As regulatory requirements become more stringent and customer expectations for transparency and sustainability rise, supply chain professionals must stay abreast of best practices through ongoing training, further propelling the market.
The evolving nature of global trade and the increasing complexity of supply chain networks also contribute to the growth of the supply chain training market. As companies expand into new markets and manage multi-tier supplier relationships, they face challenges related to cross-border logistics, compliance, and cultural nuances. Training solutions tailored to global supply chain management, international trade regulations, and cross-cultural communication are gaining traction. Additionally, the rise of e-commerce and omnichannel retailing has introduced new logistical challenges, prompting retailers and manufacturers to invest in specialized training for last-mile delivery, inventory optimization, and customer service excellence. These factors collectively create a fertile environment for the expansion of the supply chain training market.
Regionally, North America leads the global supply chain training market, accounting for the largest share due to the presence of advanced manufacturing, a mature logistics sector, and a strong emphasis on workforce development. Europe follows closely, driven by stringent regulatory standards and a focus on sustainability. The Asia Pacific region is witnessing the fastest growth, propelled by rapid industrialization, expanding e-commerce, and increasing investments in supply chain infrastructure. Latin America and the Middle East & Africa are also emerging as promising markets, supported by economic diversification efforts and government initiatives to enhance supply chain capabilities. This regional diversification underscores the global significance of supply chain training as a strategic enabler of business success.
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TwitterIn 2023, the leading market research company in terms of global research revenue was Gartner, generating approximately *** billion U.S. dollars. In the same year, American company IQVIA accrued roughly *** billion U.S. dollars. Market research companies - global players Market research is an important business strategy involving the gathering of information about an organization’s target market. In terms of global research revenue, American company Gartner was the leading market research company worldwide. Headquartered in the United States, the number of employees working for the company totaled ****** people in 2023. The sixth largest market research company in terms of global research revenue was Kantar. Kantar Group is a UK-based international network of ** companies, including Millward Brown and IMRB International. In 2022, the research revenue of Kantar amounted to approximately ***** billion U.S. dollars. Another European leader, and ranked seventh in the global ranking, was Ipsos. The company had a research revenue of over *** billion U.S. dollars. The largest share of market research revenue made by Ipsos was generated in Europe, the Middle East and Africa in 2023. United States dominant in a global market The global revenue of the market research industry reached over ** billion U.S. dollars in 2023, over half of which came from the United States. The number of full-time employees working for the top ten market research companies in the United States totaled almost ****** in 2020.