View monthly updates and historical trends for US Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on September of 2025.

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As of December 2023, Indian Oil Corporation was the leading company based on net sales with over *** trillion Indian rupees. Reliance, the multinational conglomerate was the third leading company with over **** trillion Indian rupees.

There are many potential insights one can draw from this dataset. The ecommerce data provided contains information about sales orders, including the order ID, order date, shipping date, customer names, location (country, city, state), product categories, product names, sales amount, and profit amount. The dataset covers a range of orders over several years, with information on different product categories and their associated sales. It also provides insights into the distribution of orders across cities and states. After importing the data into Tableau, one can sort to see which states have the most total sales (CA, WA, AZ), which product categories have the highest profit (chairs, phones, machines), and various other intersections of data. The analysis from this data can be used to make decisions about what products to increase or reduce stock of, which states to focus on to push sales, and how to maximize profits by looking at which product categories have the highest profit margins.

If you’re interested, please take a look!

Dataset originally from https://www.kaggle.com/datasets/imgowthamg/walmart-sales-dataset

Snapshot img

Sales Intelligence Market Size 2025-2029

The sales intelligence market size is forecast to increase by USD 4.86 billion at a CAGR of 17.6% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing demand for custom-made solutions that cater to the unique needs of businesses. This trend is fueled by the rapid advancements in cloud technology, enabling real-time access to comprehensive and accurate sales data from anywhere. However, the high initial cost of implementing sales intelligence solutions can act as a barrier to entry for smaller organizations. Furthermore, regulatory hurdles impact adoption in certain industries, requiring strict compliance with data privacy regulations. With the advent of cloud computing and SaaS customer relationship management (CRM) systems, businesses are able to store and access customer information more efficiently. Moreover, the exponential growth of marketing intelligence, driven by big data and natural language processing (NLP) technologies, enables organizations to gain valuable insights from customer interactions.
Despite these challenges, the market's potential is vast, with opportunities for growth in sectors such as healthcare, finance, and retail. Companies seeking to capitalize on these opportunities must navigate these challenges effectively, investing in cost-effective solutions and ensuring regulatory compliance. By doing so, they can gain a competitive edge through improved lead generation, enhanced customer insights, and streamlined sales processes.

What will be the Size of the Sales Intelligence Market during the forecast period?

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In today's business landscape, sales intelligence has become a critical driver of revenue growth. The go-to-market strategy of companies relies heavily on predictive lead scoring and sales pipeline analysis to prioritize opportunities and optimize resource allocation. Sales operations teams leverage revenue intelligence to gain insights into sales performance and identify trends. Data quality is paramount in sales analytics dashboards, ensuring accurate sales negotiation and closing. Sales teams collaborate using sales enablement platforms, which integrate CRM systems and provide sales performance reporting. Sales process mapping and sales engagement tools enable effective communication and productivity. Conversational AI and sales automation software streamline sales outreach and prospecting efforts. Messaging and alerting features help sales teams engage with potential customers effectively, while chatbots facilitate efficient communication.
Sales forecasting models and intent data inform sales management decisions, while salesforce automation and data governance ensure data security and compliance. Sales effectiveness is enhanced through sales negotiation training and sales enablement training. The sales market is dynamic, with trends shifting towards advanced analytics and AI-driven solutions. Companies must adapt to stay competitive, focusing on data-driven strategies and continuous improvement.

How is this Sales Intelligence Industry segmented?

The sales intelligence industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Component

  Software
  Services


Application

  Data management
  Lead management


End-user

  IT and Telecom
  Healthcare and life sciences
  BFSI
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period. In today's business landscape, sales intelligence platforms have become indispensable tools for organizations seeking to optimize their sales processes and gain a competitive edge. These solutions offer various features, including deal tracking, win-loss analysis, data mining, sales efficiency, customer journey mapping, sales process optimization, pipeline management, sales cycle analysis, revenue optimization, market research, data integration, customer segmentation, sales engagement, sales coaching, sales playbook, sales process automation, business intelligence (BI), predictive analytics, target account identification, lead generation, account-based marketing (ABM), sales strategy, sales velocity, real-time data, artificial intelligence (AI), sales insights, sales enablement content, sales enablement, sales funnel optimization, sales performance metrics, competitive intelligence, sales methodology, customer churn, and machine learning (ML) for sales forecasting and buyer persona deve

This dataset contains a list of sales and movement data by item and department appended monthly.

It is rich in information that can be leveraged for various data science applications. For instance, analyzing this dataset can offer insights into consumer behavior, such as preferences for specific types of beverages (e.g., wine, beer) during different times of the year. Furthermore, the dataset can be used to identify trends in sales and transfers, highlighting seasonal effects or the impact of certain suppliers on the market.

One could start with exploratory data analysis (EDA) to understand the basic distribution of sales and transfers across different item types and suppliers. Time series analysis can provide insights into seasonal trends and sales forecasts. Cluster analysis might reveal groups of suppliers or items with similar sales patterns, which can be useful for targeted marketing and inventory management.

View monthly updates and historical trends for US Real Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

Access over 5 million verified company email addresses through our advanced API or intuitive web screener platform. Our comprehensive European B2B email database goes beyond basic contact information, providing phone numbers and website details that empower your outreach efforts. We refresh this data monthly to ensure maximum accuracy and reliability, giving you confidence in every connection you make.

The monthly data refresh cycle ensures you're always working with current information, reducing bounce rates and improving deliverability. This commitment to accuracy means better ROI on your marketing spend and more productive sales conversations. Our verification process eliminates outdated contacts, so you can focus your energy on prospects who are ready to engage.

With both API integration and web-based access options, you can seamlessly incorporate our data into your existing workflows or use our standalone platform to research and build targeted lists. This flexibility makes it easy for teams of any size to harness the power of verified contact data for their specific needs.

United States - Total Business Sales was 1948240.00000 Mil. of $ in July of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1948240.00000 in July of 2025 and a record low of 513120.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on October of 2025.

Dataset

This dataset was created by Harley D

Contents

Graph and download economic data for Total Business Sales (TOTBUSMPCSMSA) from Feb 1992 to Jul 2025 about business, sales, rate, and USA.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Success.ai provides an extensive US Company Data service with access to over 28 million full company profiles and associated contact data. This service is tailored to enhance your business intelligence with precise and up-to-date information, ensuring you have the insights you need to make informed decisions.

API Integration: Our Enrichment APIs facilitate seamless integration and real-time updates, making it easier than ever to maintain accurate and current data within your systems. These APIs allow for efficient data management and can be customized to fit your specific needs, enhancing both the utility and accessibility of the data.

Benefits of Success.ai’s US Company Data:

• Comprehensive Data Coverage: Explore in-depth profiles that include financial details, company registries, and critical contact information.
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Key Use Cases:

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• Strategic Planning: Utilize our extensive company data for scenario planning and strategic business decisions.

Why Choose Success.ai? Choose Success.ai for its robust US Company Data capabilities. Our commitment to providing detailed, accurate, and up-to-date information, paired with our innovative API technology, makes us a leader in the data services industry. Let us help you harness the power of data to propel your business forward.

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United States - Total Business Sales was 1.00000 % Chg. in July of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 8.80000 in May of 2020 and a record low of -14.50000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on September of 2025.

This dataset contains transaction data from a fictitious SaaS company selling sales and marketing software to other companies (B2B). In the dataset, each row represents a single transaction/order (9,994 transactions), and the columns include:

Here is the Original Dataset: https://ee-assets-prod-us-east-1.s3.amazonaws.com/modules/337d5d05acc64a6fa37bcba6b921071c/v1/SaaS-Sales.csv

Features

| # | Name of the attribute | Description | | -- | --------------------- | -------------------------------------------------------- | | 1 | Row ID | A unique identifier for each transaction. | | 2 | Order ID | A unique identifier for each order. | | 3 | Order Date | The date when the order was placed. | | 4 | Date Key | A numerical representation of the order date (YYYYMMDD). | | 5 | Contact Name | The name of the person who placed the order. | | 6 | Country | The country where the order was placed. | | 7 | City | The city where the order was placed. | | 8 | Region | The region where the order was placed. | | 9 | Subregion | The subregion where the order was placed. | | 10 | Customer | The name of the company that placed the order. | | 11 | Customer ID | A unique identifier for each customer. | | 13 | Industry | The industry the customer belongs to. | | 14 | Segment | The customer segment (SMB, Strategic, Enterprise, etc.). | | 15 | Product | The product was ordered. | | 16 | License | The license key for the product. | | 17 | Sales | The total sales amount for the transaction. | | 18 | Quantity | The total number of items in the transaction. | | 19 | Discount | The discount applied to the transaction. | | 20 | Profit | The profit from the transaction. |

Inspiration: The CRoss Industry Standard Process for Data Mining (CRISP-DM) CRISP-DM methodology

• [ ] Understanding the business
• [ ] Understanding the data
• [x] Preparing the data
• [ ] Modelling
• [ ] Evaluating
• [ ] Implementing the analysis.

United States - Total Business Sales was -2.50000 % Chg. in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 24.10000 in March of 2021 and a record low of -16.50000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on October of 2025.

Deere & Company reported $12.02B in Sales Revenues for its fiscal quarter ending in June of 2025. Data for Deere & Company | DE - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last October in 2025.

50 Million Rows MSSQL Backup File with Clustered Columnstore Index.

This dataset contains -27K categorized Turkish supermarket items. -81 stores (Every city of Turkey has a store) -100K real Turkish names customer, address -10M rows sales data generated randomly. -All data has a near real price with influation factor by the time.

All the data generated randomly. So the usernames have been generated with real Turkish names and surnames but they are not real people. The sale data generated randomly. But it has some rules. For example, every order can contains 1-9 kind of item. Every orderline amount can be 1-9 pieces. The randomise function works according to population of the city. So the number of orders for Istanbul (the biggest city of Turkey) is about 20% of all data and another city for example orders for the Gaziantep (the population is 2.5% of Turkey population) is about 2.5% off all data. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1611072%2F9442f2a1dbae7f05ead4fde9e1033ac6%2Finbox_1611072_135236e39b79d6fae8830dec3fca4961_1.png?generation=1693509562300174&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1611072%2F1c39195270db87250e59d9f2917ccea1%2Finbox_1611072_b73d9ca432dae956564cfa5bfe42268c_3.png?generation=1693509575061587&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1611072%2Fa908389f33ae5c983e383d17f0d9a763%2Finbox_1611072_c5d349aa1f33c0fc4fc74b79b7167d3a_F3za81TXkAA1Il4.png?generation=1693509586158658&alt=media" alt="">

Total value (x 1,000,000) of businesses’ sales, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).