More than ** percent of data processing and information services enterprises that were part of the information and communications technology (ICT) industry in Japan generated a sales revenue between *** to less than **** billion Japanese yen in fiscal year 2020. At the same time, close to ** percent of companies achieved a sales revenue of ** billion yen or more.
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 person
In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.
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Existing Home Sales in the United States decreased to 3930 Thousand in June from 4040 Thousand in May of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q1 2025 about e-commerce, retail trade, percent, sales, retail, and USA.
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Brazil Sales: General Use: Others nes: Machinery for Filling, Closing or Wrapping data was reported at 633,184.423 BRL th in 2017. This records a decrease from the previous number of 691,748.262 BRL th for 2016. Brazil Sales: General Use: Others nes: Machinery for Filling, Closing or Wrapping data is updated yearly, averaging 457,333.000 BRL th from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 755,285.478 BRL th in 2013 and a record low of 303,769.000 BRL th in 2009. Brazil Sales: General Use: Others nes: Machinery for Filling, Closing or Wrapping data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Machinery and Equipment Sector – Table BR.RMB002: Machinery and Equipment Sales: General Use.
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Peru Number of Companies: Closed: TR: Vehicle Sales & Repairs data was reported at 5,912.000 Unit in Dec 2024. This records an increase from the previous number of 3,024.000 Unit for Sep 2024. Peru Number of Companies: Closed: TR: Vehicle Sales & Repairs data is updated quarterly, averaging 1,011.000 Unit from Dec 2013 (Median) to Dec 2024, with 45 observations. The data reached an all-time high of 5,912.000 Unit in Dec 2024 and a record low of 50.000 Unit in Jun 2020. Peru Number of Companies: Closed: TR: Vehicle Sales & Repairs data remains active status in CEIC and is reported by National Institute of Statistics and Informatics. The data is categorized under Global Database’s Peru – Table PE.O010: Number of Companies.
This statistic shows the net close rates of vacation timeshare companies in the United States in 2014, by company size in terms of net originated sales. The companies with originated net sales above 250 million U.S. dollars, had a net close rate of 15.4 percent in the U.S. in 2014.
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Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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This dataset aims to publish the files that I will use on the Kaggle challenge called Predict Future Sales
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Sales: General Use: Others nes: Parts & Machinery for Filling, Closing, Packaging data was reported at 288,483.808 BRL th in 2017. This records an increase from the previous number of 208,592.161 BRL th for 2016. Sales: General Use: Others nes: Parts & Machinery for Filling, Closing, Packaging data is updated yearly, averaging 205,760.000 BRL th from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 288,483.808 BRL th in 2017 and a record low of 48,133.000 BRL th in 2005. Sales: General Use: Others nes: Parts & Machinery for Filling, Closing, Packaging data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Machinery and Equipment Sector – Table BR.RMB002: Machinery and Equipment Sales: General Use.
The Detroit Land Bank Authority's (DLBA) Own It Now (OIN) program offers vacant homes for sale with a minimum offer price of $1,000. Homes are available on the DLBA website for sale 24 hours a day, 7 days a week and may be offered on at any time. Homes are sold as is and buyers are required to rehab the houses and ensure that they are occupied. The dataset provides information on the properties that have been successfully sold by the DLBA through the OIN program.The Detroit Land Bank Authority (DLBA) works directly with individual buyers, as well as Community Partner organizations and developers to achieve their mission to return the city's blighted and vacant properties to productive use. They utilize a variety of sales programs to make homeownership and land purchases accessible to Detroiters. One of these programs is Own it Now (OIN).Each row in the dataset represents an OIN home and includes data about the sale status, closing date for sold homes, sale price, and location information such as: address; parcel ID; and neighborhood.For more information about the DLBA's sales programs please visit their website.Click here for the Analytics Hub visualization of this dataset.
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India Mutual Funds: AMFI: Sales: Close End data was reported at 66,400.000 INR mn in Nov 2018. This records an increase from the previous number of 30,970.000 INR mn for Oct 2018. India Mutual Funds: AMFI: Sales: Close End data is updated monthly, averaging 30,170.000 INR mn from Dec 1999 (Median) to Nov 2018, with 223 observations. The data reached an all-time high of 414,390.000 INR mn in Mar 2012 and a record low of -230.000 INR mn in May 2009. India Mutual Funds: AMFI: Sales: Close End data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC005: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Sales: by Category.
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The global market for sales project management tools is experiencing robust growth, driven by the increasing need for enhanced sales team collaboration, improved deal closure rates, and better sales forecasting accuracy. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $8 billion by 2033. This expansion is fueled by several key trends, including the rising adoption of cloud-based solutions, the integration of artificial intelligence (AI) for sales forecasting and lead scoring, and the growing demand for tools that streamline the entire sales lifecycle—from lead generation to post-sale support. The increasing complexity of sales processes across various industries, coupled with the need for better data-driven decision-making, is further boosting the demand for sophisticated sales project management tools. Major market players such as HeySpace, Yesware, OnePageCRM, Clari, GanttPro, Teamwork, Zoho, Celoxis, LiquidPlanner, ProofHub, Redmine, Smartsheet, TeamGantt, and Wrike are vying for market share, each offering unique features and functionalities to cater to diverse customer needs. The market is segmented based on deployment type (cloud-based, on-premise), business size (small, medium, large enterprises), and industry vertical. While the cloud-based segment dominates the market due to its scalability and accessibility, the on-premise segment still holds relevance in specific industries with stringent data security requirements. Future growth will likely be shaped by innovations in AI-powered analytics, enhanced integration with CRM systems, and the development of more user-friendly interfaces, catering to both technical and non-technical sales professionals. Challenges remain in areas such as data integration complexities and the need for robust security measures to ensure data integrity and protect sensitive sales information.
This dataset contains sale information for properties sold by the Detroit Land Bank Authority (DLBA) through the Community Partner and Economic Development sales programs. The Community Partner program enables programs organizations purchase houses and/or vacant land at discounted prices for home rehab projects, urban gardening, green space projects or any use that enhances the quality of life in neighborhoods. The Economic Development program partners with locally based real estate companies to market properties that support infill development, are guided by City of Detroit planning studies, or adjacent to City-owned parcels that may be co-marketed for specialized development.Each row in the dataset represents a DLBA-acquired home that has been sold to a community partner or economic development program and includes data about the closing date, sale price, and location information such as address, parcel ID, and neighborhood.For more information about the DLBA's Community Partnership program click here. For more information about the DLBA's Projects program click here.Click here for the Analytics Hub visualization of this dataset.
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India Mutual Funds: AMFI: Sales: Close End: Equity data was reported at 310.000 INR mn in Nov 2018. This records a decrease from the previous number of 7,020.000 INR mn for Sep 2018. India Mutual Funds: AMFI: Sales: Close End: Equity data is updated monthly, averaging 3,850.000 INR mn from Dec 1999 (Median) to Nov 2018, with 109 observations. The data reached an all-time high of 76,870.000 INR mn in Jan 2008 and a record low of -30.000 INR mn in Jul 2010. India Mutual Funds: AMFI: Sales: Close End: Equity data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC005: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Sales: by Category.
Detroit Land Bank Authority (DLBA) program helps organizations purchase houses and/or vacant land at discounted prices. The dataset provides information on the properties that have been successfully sold by the DLBA to organizations or individuals through auction. The Detroit Land Bank Authority (DLBA) works directly with individual buyers, as well as Community Partner organizations and developers to achieve their mission to return the city's blighted and vacant properties to productive use. They utilize a variety of sales programs to make homeownership and land purchases accessible to Detroiters. One of these programs is the auction program. Each row in the dataset represents a DLBA-acquired home that has been sold through auction and includes data about the closing date, sale price, and location information such as address, parcel ID, and neighborhood. Point geometry is used to identify the location of the address associated with each property.More information about the Auction Sales program is available through the DLBA 'Structures' program and Frequently Asked Questions (FAQ) pages.Click here for the Analytics Hub visualization of this dataset.
Internet sales have played an increasingly significant role in retailing. In 2024, e-commerce accounted for over ** percent of retail sales worldwide. Forecasts indicate that by 2029, the online segment will make up close to over ** percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************** U.S. dollars, a figure expected to exceed **** trillion U.S. dollars by 2028. Digital development in Latin America boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the region. So much so that Brazil and Argentina appear to lead the world's fastest-growing online retail markets. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditioe-comernal fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The average order value of online shopping via smartphones and tablets still lags traditional e-commerce via desktop computers. However, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2021, Malaysia was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. South Korea, Taiwan, and the Philippines completed the top of the ranking.
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More than ** percent of data processing and information services enterprises that were part of the information and communications technology (ICT) industry in Japan generated a sales revenue between *** to less than **** billion Japanese yen in fiscal year 2020. At the same time, close to ** percent of companies achieved a sales revenue of ** billion yen or more.