In 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.

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.

In 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.

The global research revenue of the leading 50 market research firms in the United States combined increased significantly over the last two decades, reaching a value of nearly ** billion U.S. dollars in 2020.

Market researchers investigate clients' target markets' behaviour, values and opinions, providing insights that allow them to tailor their products, services and marketing. Researchers rely on hefty European research and development expenditure to fuel demand for market research. The surge in digitalisation has opened new doors for market research providers while intensifying competition. Artificial intelligence is increasingly important in analysing, identifying and generating research insights from social media posts using a flood of data. Meanwhile, digital surveys have allowed research companies to expand their outreach, save resources and costs and often attain more accurate and comprehensive insights for clients. Over the five years through 2025, industry revenue is expected to contract at a compound annual rate of 1.1% to reach €25.2 billion. The high inflationary environment in recent years has taken a toll on market research budgets. A sharp contraction in business sentiment squeezed corporate profit in 2022, discouraging companies from investing in research and development activities and negatively affecting professional research providers. A greater availability of data and alternative research methods means that researchers are competing more and more with in-house research departments. In 2025, industry revenue is expected to drop by 0.3% as consumers are finding their research needs met by AI tools such as ChatGPT, however, this trend is expected to be short-lived as research companies will strive to prove their value to clients. Over the five years through 2030, industry revenue is forecast to swell at a compound annual rate of 3.7% to reach €30.3 billion. Over the coming years, market research companies will face higher external competition from technology specialists leveraging insights internally, constraining revenue growth. Nonetheless, researchers will benefit from expanding online advertising activity. Those incorporating advanced data analytics systems and digital market research technology will remain competitive and benefit from greater digitalisation. Smart mobile surveys will also become an invaluable tool for consumer research companies.

Company Reviews and Ratings

This dataset provides detailed information on company reviews and ratings, encompassing various attributes such as the name of the company, its rating, number of reviews, company type, total employees, headquarters location, years in operation, highly rated aspects, and critically rated aspects.

Columns:

• Name_Of_Company : The name of the company being reviewed.
• Rating : The overall rating of the company, typically on a scale of 1 to 5.
• Reviews : The number of reviews available for the company.
• Company_Type : The type or industry of the company.
• Total_Employees : The total number of employees working in the company.
• Head_Quarter : The location of the company's headquarters.
• Years_In_Operation : The number of years the company has been in operation.
• Highly_Rated_For : Aspects of the company that are highly rated by reviewers.
• Critically_Rated_For : Aspects of the company that are critically rated by reviewers.

Description:

This dataset offers insights into the performance and perception of various companies across different industries. Analysts can use this data to understand trends in company ratings, identify factors influencing positive or negative reviews, and benchmark companies against their competitors.

Potential Use Cases:

• HR and Recruitment : HR professionals can utilize this data to assess the reputation and employee satisfaction of potential employers.

• Investors : Investors can analyze company ratings and reviews to inform investment decisions and evaluate the financial health of companies.

• Market Research : Market researchers can study consumer sentiment towards different companies and industries to guide marketing strategies and product development.

• Business Development : Business development teams can identify areas of improvement based on critical reviews and prioritize efforts to enhance customer satisfaction.

• Academic Research : Researchers can explore this dataset to study patterns in company ratings and reviews, and investigate the impact of various factors on company performance and perception.

By leveraging this dataset, stakeholders can gain valuable insights into the strengths and weaknesses of companies, enabling informed decision-making and strategic planning.

Market researchers investigate clients' target markets' behaviour, values and opinions, providing insights that allow them to tailor their products, services and marketing. Researchers rely on hefty European research and development expenditure to fuel demand for market research. The surge in digitalisation has opened new doors for market research providers while intensifying competition. Artificial intelligence is increasingly important in analysing, identifying and generating research insights from social media posts using a flood of data. Meanwhile, digital surveys have allowed research companies to expand their outreach, save resources and costs and often attain more accurate and comprehensive insights for clients. Over the five years through 2025, industry revenue is expected to contract at a compound annual rate of 1.1% to reach €25.2 billion. The high inflationary environment in recent years has taken a toll on market research budgets. A sharp contraction in business sentiment squeezed corporate profit in 2022, discouraging companies from investing in research and development activities and negatively affecting professional research providers. A greater availability of data and alternative research methods means that researchers are competing more and more with in-house research departments. In 2025, industry revenue is expected to drop by 0.3% as consumers are finding their research needs met by AI tools such as ChatGPT, however, this trend is expected to be short-lived as research companies will strive to prove their value to clients. Over the five years through 2030, industry revenue is forecast to swell at a compound annual rate of 3.7% to reach €30.3 billion. Over the coming years, market research companies will face higher external competition from technology specialists leveraging insights internally, constraining revenue growth. Nonetheless, researchers will benefit from expanding online advertising activity. Those incorporating advanced data analytics systems and digital market research technology will remain competitive and benefit from greater digitalisation. Smart mobile surveys will also become an invaluable tool for consumer research companies.

Market research company Nielsen, founded in 1923 and currently the leading company in the United States in terms of revenue, employed ****** full-time employees in the U.S. in 2020, making it also the largest employer. IQVIA, founded in 2016, was the second largest employer in the sector, counting approximately ***** full-time employees in 2020.

** Inputs related to Analysis for additional reference:** 1. Why do we need customer Segmentation? As every customer is unique and can be targeted in different ways. The Customer segmentation plays an important role in this case. The segmentation helps to understand profiles of customers and can be helpful in defining cross sell/upsell/activation/acquisition strategies. 2. What is RFM Segmentation? RFM Segmentation is an acronym of recency, frequency and monetary based segmentation. Recency is about when the last order of a customer. It means the number of days since a customer made the last purchase. If it’s a case for a website or an app, this could be interpreted as the last visit day or the last login time. Frequency is about the number of purchases in a given period. It could be 3 months, 6 months or 1 year. So we can understand this value as for how often or how many customers used the product of a company. The bigger the value is, the more engaged the customers are. Alternatively We can define, average duration between two transactions Monetary is the total amount of money a customer spent in that given period. Therefore big spenders will be differentiated with other customers such as MVP or VIP. 3. What is LTV and How to define it? In the current world, almost every retailer promotes its subscription and this is further used to understand the customer lifetime. Retailer can manage these customers in better manner if they know which customer is high life time value. Customer lifetime value (LTV) can also be defined as the monetary value of a customer relationship, based on the present value of the projected future cash flows from the customer relationship. Customer lifetime value is an important concept in that it encourages firms to shift their focus from quarterly profits to the long-term health of their customer relationships. Customer lifetime value is an important metric because it represents an upper limit on spending to acquire new customers. For this reason it is an important element in calculating payback of advertising spent in marketing mix modelling. 4. Why do need to predict Customer Lifetime Value? The LTV is an important building block in campaign design and marketing mix management. Although targeting models can help to identify the right customers to be targeted, LTV analysis can help to quantify the expected outcome of targeting in terms of revenues and profits. The LTV is also important because other major metrics and decision thresholds can be derived from it. For example, the LTV is naturally an upper limit on the spending to acquire a customer, and the sum of the LTVs for all of the customers of a brand, known as the customer equity, is a major metric forbusiness valuations. Similarly to many other problems of marketing analytics and algorithmic marketing, LTV modelling can be approached from descriptive, predictive, and prescriptive perspectives. 5. How Next Purchase Day helps to Retailers? Our objective is to analyse when our customer will purchase products in the future so for such customers we can build strategy and can come up with strategies and marketing campaigns accordingly. a. Group-1: Customers who will purchase in more than 60 days b. Group-2: Customers who will purchase in 30-60 days c. Group-3: Customers who will purchase in 0-30 days 6. What is Cohort Analysis? How it will be helpful? A cohort is a group of users who share a common characteristic that is identified in this report by an Analytics dimension. For example, all users with the same Acquisition Date belong to the same cohort. The Cohort Analysis report lets you isolate and analyze cohort behaviour. Cohort analysis in e-commerce means to monitor your customers’ behaviour based on common traits they share – the first product they bought, when they became customers, etc. - - to find patterns and tailor marketing activities for the group.

Transaction data has been provided for the period of 1st Jan 2019 to 31st Dec 2019. The below data sets have been provided. Online_Sales.csv: This file contains actual orders data (point of Sales data) at transaction level with below variables. CustomerID: Customer unique ID Transaction_ID: Transaction Unique ID Transaction_Date: Date of Transaction Product_SKU: SKU ID – Unique Id for product Product_Description: Product Description Product_Cateogry: Product Category Quantity: Number of items ordered Avg_Price: Price per one quantity Delivery_Charges: Charges for delivery Coupon_Status: Any discount coupon applied Customers_Data.csv: This file contains customer’s demographics. CustomerID: Customer Unique ID Gender: Gender of customer Location: Location of Customer Tenure_Months: Tenure in Months Discount_Coupon.csv: Discount coupons have been given for different categories in different months Month: Discount coupon applied in that month Product_Category: Product categor...

The public opinion monitoring market is projected to be valued at $3.6 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 4.8%, reaching approximately $5.8 billion by 2034.

The report covers Global Insight as a Service Application Companies and the market is segmented by deployment mode (public cloud, private cloud, hybrid cloud), end-user industry (BFSI, IT & telecom, retail, healthcare, energy), and geography.

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

Market researchers investigate clients' target markets' behaviour, values and opinions, providing insights that allow them to tailor their products, services and marketing. Researchers rely on hefty European research and development expenditure to fuel demand for market research. The surge in digitalisation has opened new doors for market research providers while intensifying competition. Artificial intelligence is increasingly important in analysing, identifying and generating research insights from social media posts using a flood of data. Meanwhile, digital surveys have allowed research companies to expand their outreach, save resources and costs and often attain more accurate and comprehensive insights for clients. Over the five years through 2025, industry revenue is expected to contract at a compound annual rate of 1.1% to reach €25.2 billion. The high inflationary environment in recent years has taken a toll on market research budgets. A sharp contraction in business sentiment squeezed corporate profit in 2022, discouraging companies from investing in research and development activities and negatively affecting professional research providers. A greater availability of data and alternative research methods means that researchers are competing more and more with in-house research departments. In 2025, industry revenue is expected to drop by 0.3% as consumers are finding their research needs met by AI tools such as ChatGPT, however, this trend is expected to be short-lived as research companies will strive to prove their value to clients. Over the five years through 2030, industry revenue is forecast to swell at a compound annual rate of 3.7% to reach €30.3 billion. Over the coming years, market research companies will face higher external competition from technology specialists leveraging insights internally, constraining revenue growth. Nonetheless, researchers will benefit from expanding online advertising activity. Those incorporating advanced data analytics systems and digital market research technology will remain competitive and benefit from greater digitalisation. Smart mobile surveys will also become an invaluable tool for consumer research companies.

In 2023, the methodology that contributed most to the revenue of market research companies was online/mobile quantitative research with ** percent of the market share. Second in the list was automated digital/electronic, with *** percent.

Executive Search (Headhunting) Market size was valued at USD 1.24 Billion in 2024 and is projected to reach USD 2.03 Billion by 2031, growing at a CAGR of 6.28% during the forecast period 2024-2031.Global Executive Search (Headhunting) Market Drivers1. Globalisation and Economic GrowthGlobalisation and economic growth are the main forces behind the executive search industry. Talent for leadership positions is in greater demand as economies and enterprises grow. Due to the ability of globalisation to work across boundaries, businesses now require leaders who are adept at navigating intricate international markets. This makes headhunters who are adept at locating and luring top-tier talent throughout the globe necessary.2. Skill Shortages Particular to the IndustryThere is a severe talent shortage in several businesses, especially in those that are seeing rapid technological improvements. Industries such as technology, healthcare, and finance frequently have challenges in locating competent executives possessing the requisite knowledge and experience. By using their networks and specialised knowledge to discover candidates who satisfy these high expectations, executive search firms play a critical role in filling these gaps in the workforce.3. Complexity and Transformation of OrganisationsBecause of their increasing complexity, modern organisations need leaders who can oversee diverse activities and spearhead strategic change. The frequency of mergers, acquisitions, and digital changes necessitates the need for CEOs with the ability to lead through change. In order to find people with the strategic vision and change management abilities required to lead organisations through such transformations, headhunters are essential.4. The Need for Inclusion and DiversityDiversity and inclusion are becoming increasingly important to corporate leadership. In an effort to promote inclusion and innovation, businesses are looking for CEOs with a variety of experiences and backgrounds. The responsibility of executive search firms is to locate and draw in a wide talent pool so that leadership teams are representative of the global marketplace.5. The Increase in Executive MobilityMobility among executives is another important factor. Because of greater global connection and changing cultural norms, high-level executives are more willing than ever to migrate for the right opportunity. Because of this greater mobility, corporations have access to a wider choice of candidates from more diversified geographic areas, increasing the value of executive search firms' services.6. Technology Developments in HiringThe recruitment process has changed as a result of technological improvements, especially in data analytics and artificial intelligence. Executive search businesses use advanced technologies to more precisely and quickly find qualified candidates. Headhunters can now more effectively match applicants with the exact skills and cultural fit that their client organisations are looking for thanks to these technologies.7. Needs for Discreet and Confidential SearchesConfidentiality is often needed for high-level executive searches to prevent disturbances in the market or internal discord. Executive search companies provide a discrete and expert method of locating individuals without disclosing the hiring procedure. This is particularly important when hiring people for high-profile roles like as CFOs or CEOs.The Growing Significance of Employer BrandingTop talent is increasingly drawn to companies based in large part on their reputation as employers. Executive search firms help businesses improve their employer brands so that prospective employees will find them more appealing. They aid in developing tactics to raise the employer brand's overall appeal and offer insights into how the market perceives certain topics.

The Law Firms industry in Illinois is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments decreased an annualized -x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

Backed by our Best Price Guarantee, this solution empowers businesses to thrive in North America’s competitive retail landscape.

Why Choose Success.ai’s Retail Data for North America?

1. Verified Contact Data for Precision Outreach

   • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
   • AI-driven validation ensures 99% accuracy, enabling confident communication and efficient campaign execution.

2. Comprehensive Coverage Across Retail Segments

   • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
   • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
   • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
• 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
• Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
• Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

Key Features of the Dataset:

1. Retail Decision-Maker Profiles

   • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
   • Target professionals responsible for inventory planning, vendor contracts, and store performance.

2. Advanced Filters for Precision Targeting

   • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
   • Tailor outreach to align with regional market trends, customer demographics, and operational priorities.

3. Market Trends and Operational Insights

   • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
   • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
   • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.

2. Market Research and Consumer Insights

   • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
   • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.

3. E-Commerce and Digital Strategy Development

   • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
   • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.

4. Recruitment and Workforce Solutions

   • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
   • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.

2. Seamless Integration
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Customer Success Software Market size was valued at USD 1.50 Billion in 2024 and is projected to reach USD 4.51 Billion by 2032, growing at a CAGR of 24.43% during the forecast period 2026-2032.Global Customer Success Software Market DriversThe market drivers for the Customer Success Software Market can be influenced by various factors. These may include:Growing Emphasis on Customer Retention: As companies see how important it is to hold onto their clientele, the market for software that facilitates managing and enhancing customer interactions is expanding.Understanding customer behaviour and preferences requires the collection, management, and analysis of customer data, which is made possible by customer success software.Growing Adoption of Cloud-based Solutions: Companies of all sizes are adopting cloud-based customer success software because of its affordability, scalability, and flexibility.Customer experience is becoming more and more important. To increase customer satisfaction and loyalty, organisations are adopting customer success software as a means of delivering a smooth and customised client experience.Emphasis on Upselling and Cross-selling: By helping companies to recognise upselling and cross-selling opportunities, customer success software boosts profits and revenue.Growing Competition: As a means of differentiating themselves in a crowded market, companies are emphasising customer success, which is fueling the need for customer success software.Integration with CRM and Other Systems: The popularity of customer success software is being driven by its integration capabilities with other systems, such as CRM software, which enables firms to increase efficiency and streamline operations.