This dataset contains the predicted prices of the asset Salesforce tokenized stock (xStock) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the predicted prices of the asset Wrapped Salesforce xStock over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the historical stock data for Salesforce Inc. (CRM), sourced from Yahoo Finance, spanning from its initial public offering (IPO) on June 23, 2004 through to December 2024. The data includes daily stock prices and provides essential details such as:

Date: The specific trading date for each record. Open: The opening price of Salesforce’s stock for that day. High: The highest price reached by Salesforce’s stock on that day. Low: The lowest price of Salesforce’s stock on that day. Close: The closing price for Salesforce’s stock on that day. Adj Close: The adjusted closing price, accounting for stock splits, dividends, and other corporate actions. Volume: The number of shares traded on that particular day. This dataset is ideal for those interested in analyzing Salesforce’s rise as a leader in cloud-based software, particularly in customer relationship management (CRM) solutions. From its early days as a pioneer in cloud computing to its current position as a dominant player in enterprise software and artificial intelligence, Salesforce's stock data offers valuable insights into its financial performance and market evolution.

Source: The data has been sourced from Yahoo Finance, a widely recognized platform for obtaining reliable historical financial data.

Data Usage:

Time Series Analysis: Analyze Salesforce’s stock price trends and market performance over time. Stock Price Prediction: Build predictive models to forecast Salesforce’s future stock price movements based on historical data. Financial Analysis: Conduct detailed analysis of Salesforce’s stock performance, volatility, and its impact on the SaaS (Software as a Service) industry.

The global Salesforce Analytics Cloud Consulting Service market is experiencing robust expansion, projected to reach an estimated $12,500 million by 2025, with a significant Compound Annual Growth Rate (CAGR) of 18% through 2033. This impressive growth is underpinned by a confluence of factors, primarily the escalating demand for data-driven decision-making across businesses of all sizes. Organizations are increasingly leveraging Salesforce Analytics Cloud (now rebranded as Tableau CRM) to harness the power of their customer data, gaining deeper insights into customer behavior, sales performance, and operational efficiency. This fuels the need for specialized consulting services that can effectively implement, customize, and optimize these powerful analytics solutions. The market is further propelled by the growing complexity of data and the need for advanced analytics capabilities to maintain a competitive edge. Key market drivers include the pervasive digital transformation initiatives underway globally, pushing enterprises to adopt sophisticated analytics tools. Small and Medium Enterprises (SMEs) are rapidly recognizing the value of cloud-based analytics, contributing significantly to market growth, alongside large enterprises that continue to invest heavily in data monetization and customer experience enhancement. While the adoption of cloud services for analytics is a primary trend, some organizations may face challenges in data integration and the availability of skilled personnel, which could act as minor restraints. However, the increasing availability of specialized consulting firms like Coastal Cloud, IBM, and Salesforce itself, alongside a vibrant ecosystem of partners, is actively addressing these challenges, ensuring the continued upward trajectory of the Salesforce Analytics Cloud consulting market. This report provides an in-depth examination of the Salesforce Analytics Cloud Consulting Service market, offering critical insights and forecasting future trajectories from 2019 to 2033. Our analysis is grounded in the Base Year of 2025, with a detailed forecast for the Forecast Period of 2025-2033, building upon the Historical Period of 2019-2024.

This dataset contains the predicted prices of the asset Salesforce Tokenized Stock (Ondo) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

It is estimated that the earnings before interest, tax, depreciation and amortization (EBITDA) of CRM software provider Salesforce will reach **** billion U.S. dollars in 2022. This is around **** billion U.S. dollars higher than the forecast EBITDA for 2021. Salesforce is one of the largest providers of cloud-based customer relationship management (CRM) systems, which are used by organizations to manage their customer data.

The Salesforce CRM document generation software was valued at USD 850 million in 2022 and will reach USD 1.95 billion by 2030, registering a CAGR of 11% for the forecast period 2023-2030. Factors Affecting Salesforce CRM Document Generation Software Market Growth

Technological advancement in salesforce CRM document generation software

The market may explore new dynamics and improve company documentation experiences by integrating cutting-edge technologies like artificial intelligence, predictive learning, and machine learning with Salesforce CRM document-generating software. According to a global survey, the market for salesforce CRM document creation software is propelled by a high rate of return on investment (ROI), lower prices, a rise in the use of web-based documents, and simple installation procedures. Businesses are also implementing Salesforce CRM document-generating tools in an effort to increase productivity and operational effectiveness. With these platforms, anyone can easily create, modify, and print specific documents to meet all their documentation needs. However, it's crucial for organizations to prioritize the protection of these documents, especially since they may contain sensitive consumer information. Fortunately, the CRM document creation software has robust security measures in place that make it challenging for unauthorized access. Additionally, different customer authorities have established compliance requirements for data safety regulations to ensure optimal protection of consumer data. All these factors are boosting the growth of the salesforce CRM document generation software market.

Increased focus on customer experience, data, and automation

With Salesforce CRM document generation, businesses can create customized documents tailored to their customer's specific needs. This improves the customer experience by providing relevant and helpful information. Additionally, the software enables businesses to collect and analyze data more effectively, leading to better decision-making regarding sales and marketing strategies. Furthermore, salesforce CRM document generation automates the document creation process, saving businesses valuable time and resources.

The Restraining Factor of Salesforce CRM Document Generation Software:

Data security and privacy concerns

The market for Salesforce CRM Document Generation Software is experiencing rapid growth, but it faces some significant obstacles that are impeding its progress. The primary restraints include concerns regarding data security and privacy, a lack of awareness among small and medium-sized enterprises, and high initial investment costs. Additionally, ensuring the quality of documents generated by the software is a major challenge.

Impact of the COVID-19 Pandemic on the Salesforce CRM Document Generation Software Market

The COVID-19 pandemic has caused significant disruption across several global markets due to restrictions on logistics and market limitations imposed by governments. However, a few markets have benefited from the pandemic's effects. The need for real-time online documentation of transactions has led to increased demand for customer data retention. The pandemic has resulted in the closure of manufacturing facilities and limited logistical operations, putting a strain on several sectors. As a result, there has been a growing demand for improved customer experience due to remote employment. Companies can use Salesforce CRM document-generating software to document client information and sales. Introduction of Salesforce CRM Document Generation Software

Many companies are switching from using Excel spreadsheets to using Customer Relationship Management (CRM) software to improve their customers' experiences. This change is happening thanks to the advancement of technology and the widespread availability of high-speed internet. As businesses become more complex, they are looking for ways to simplify their operations while still being efficient and cost-effective. One solution that has become increasingly popular is using Salesforce CRM document generation software to securely and reliably document large amounts of data. Many companies are embracing new technologies and experimenting with different components of their business, such as sales, HR, business intelligence, and operations, to find ways to function with limited resources. The company has impo...

LOTSA Data

The Large-scale Open Time Series Archive (LOTSA) is a collection of open time series datasets for time series forecasting. It was collected for the purpose of pre-training Large Time Series Models. See the paper and codebase for more information.

  Citation

If you're using LOTSA data in your research or applications, please cite it using this BibTeX: BibTeX: @article{woo2024unified, title={Unified Training of Universal Time Series Forecasting Transformers}… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/lotsa_data.

Discover the booming Predictive & Prescriptive Analytics market! Our in-depth analysis reveals a $15 billion market in 2025, projecting a 15% CAGR through 2033. Learn about key drivers, trends, restraints, leading companies (Salesforce, SAS, IBM, etc.), and regional insights. Get ahead in the data-driven economy.

GIFT-Eval

We present GIFT-Eval, a benchmark designed to advance zero-shot time series forecasting by facilitating evaluation across diverse datasets. GIFT-Eval includes 23 datasets covering 144,000 time series and 177 million data points, with data spanning seven domains, 10 frequencies, and a range of forecast lengths. This benchmark aims to set a new standard, guiding future innovations in time series foundation models. To facilitate the effective pretraining and evaluation of… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/GiftEval.

It is estimated that the annual earnings per share of CRM software provider Salesforce will reach **** U.S. dollars in 2023. This is slightly lower than their estimated earnings per share for 2022. Salesforce is one of the largest providers of cloud-based customer relationship management (CRM) systems, which are used by organizations to manage their customer data.

The salesforce services market is projected to grow from USD 19.9 billion in 2025 to USD 84.7 billion by 2035, at a CAGR of 15.6%.

The Big Data Analytics in Retail market is booming, projected to reach $6.38 billion by 2025, with a 21.20% CAGR. Discover key trends, drivers, and leading companies shaping this rapidly evolving sector. Learn how retailers leverage data for enhanced customer experiences and supply chain optimization. Recent developments include: September 2022 - Coresight Research, a global provider of research, data, events, and advisory services for consumer-facing retail technology and real estate companies and investors, acquired Alternative Data Analytics, a leading data strategy, and insights firm. This acquisition will significantly increase data capabilities and further extend expertise in data-driven research., August 2022 - Global Measurement and Data Analytics company Nielsen and Microsoft launched a new enterprise data solution to accelerate innovation in retail using Artificial Intelligence data analytics to create scalable, high-performance data environments.. Key drivers for this market are: Increased Emphasis on Predictive Analytics, Merchandising and Supply Chain Analytics Segment Expected to Hold Significant Share. Potential restraints include: Increased Emphasis on Predictive Analytics, Merchandising and Supply Chain Analytics Segment Expected to Hold Significant Share. Notable trends are: Merchandising and Supply Chain Analytics Segment Expected to Hold Significant Share.

The AI for Data Analytics market is booming, with a projected CAGR of 36.2% through 2033. Discover key market trends, leading companies (IBM, Microsoft, Google, etc.), and growth opportunities in this explosive sector. Learn about market segmentation, regional analysis, and the forces driving this rapid expansion.

It is estimated that the quarterly earnings per share of CRM software provider Salesforce rise from **** U.S. dollars in the third quarter of 2021 to **** U.S. dollars in the third quarter of 2022. Salesforce is one of the largest providers of cloud-based customer relationship management (CRM) systems, which are used by organizations to manage their customer data.

The Augmented Analytics market is experiencing robust growth, projected to reach $23.27 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 28.09% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing volume and complexity of data necessitate automated insights, leading businesses to adopt augmented analytics solutions for faster, more accurate decision-making. Furthermore, the rising demand for self-service analytics empowers business users to gain insights without extensive technical expertise, driving market penetration. The integration of artificial intelligence (AI) and machine learning (ML) enhances the capabilities of augmented analytics platforms, improving predictive analytics and automating data preparation processes. Finally, cloud-based deployments offer scalability and cost-effectiveness, further accelerating market adoption. Competition in the augmented analytics space is fierce, with established players like Microsoft, QlikTech, IBM, Salesforce, SAP, SAS, TIBCO, Sisense, ThoughtSpot, MicroStrategy, and GoodData vying for market share. However, the market is also witnessing the emergence of innovative startups and niche players, which could disrupt the landscape. While the market faces challenges such as data security concerns and the need for robust data governance frameworks, the overall outlook remains positive. Continued technological advancements, expanding adoption across diverse industries, and the increasing focus on data-driven decision-making are expected to fuel substantial growth over the forecast period. The market's segmentation, while not explicitly provided, is likely to be based on deployment model (cloud, on-premise), industry vertical (finance, healthcare, retail, etc.), and functionality (data preparation, visualization, predictive analytics). Recent developments include: May 2023: TrinityLife Sciences, a leader in global life sciences commercialization solutions, and WhizAI, a leader in AI-powered analytics for life sciences and healthcare, announced a strategic partnership that allows life sciences companies to quickly and easily generate and share AI-driven insights. WhizAI’s augmented analytics can be layered on Trinity’s enterprise reporting platforms to bring insights to more organizational stakeholders., January 2023: Seerist Inc., the leading augmented analytics solution for threat and security professionals, announced about the addition of new capabilities to elevate the value of the solution. These updates allow users to receive significant contextual intelligence, extract meaning from the data "noise" and further customize the solution to target critical areas important to an organization's operations.. Key drivers for this market are: Increasing Demand to Cater Complex Business Data, Huge Adoption of Business Intelligence Tools. Potential restraints include: Increasing Demand to Cater Complex Business Data, Huge Adoption of Business Intelligence Tools. Notable trends are: Retail Sector is Expected to Have a Significant Growth During the Forecast Period.

The Customer Analytics Applications market is booming, projected to reach [estimated 2033 market size based on the JSON data] by 2033. This in-depth analysis reveals key drivers, trends, and restraints, highlighting leading companies like Adobe, Salesforce, and IBM. Discover market segmentation, regional data, and growth forecasts in this comprehensive report.

Discover the explosive growth of the Sales Analytics Solution market, projected to reach $15 billion by 2025 with a 12% CAGR. Learn about key drivers, trends, restraints, leading companies (Salesforce, Oracle, SAP, and more), and regional insights in this comprehensive market analysis. Get your free market report today!

The Predictive Analytics market is booming, projected to reach $15.05 billion by 2025, with a CAGR of 28.97%. This report analyzes market drivers, trends, restraints, key players (like Altair, Alteryx, and Salesforce), and regional insights (North America, Europe, Asia-Pacific). Discover how predictive analytics is transforming BFSI, retail, and more.