What information do you include in your sales and marketing database?

When you buy one of our sales and marketing databases, all records we supply to you hold the below information (where it is available):

-Company name -Address (including town, county and postcode) -Phone number (including area code) -Website address -Company registration number and date of incorporation -Financial information (for example, net worth, turnover band, profit and loss, profit percentage change, sales increase or decrease) -Senior decision maker name -Senior decision maker email address (if we do not have this information, we will provide the next best email for example, a departmental email address) -Top-level market sector and granular industry classification -Standard Industrial Classification (SIC) code -Number of employees (both onsite and nationally) -Premise type and description -Number of branches -Legal status (for example, sole trader, partnership, private limited company)

Why use Metric Central?

There are several marketing database providers out there, but these are the reasons why you should choose us for your prospecting requirements.

The most up to date information on the market: We refresh our database every day, meaning when you buy from us, you will have the most up to date and accurate details, without having to worry about database decay, duplicated records

Reach out directly to the key decision-maker: Unlike some lists which will only give you a generic company email address, we will provide you with the name and details of the company’s key decision-maker, meaning you can directly reach out to the person with purchasing power, without being held back by the company gatekeeper 100% GDPR compliance: All of our records come with a full General Data Protection Regulation (GDPR) compliance audit trail, meaning you can reach out to prospects with the peace of mind you are compliant with the latest legislation

Buy online and use straightaway: With a lot of companies providing a similar product to ours, you have to reach out to them for a quote before you receive your product. Our sales and marketing database can be bought online and downloaded straight away, meaning you can start reaching out to decision-makers the very same day you buy. We even tell you how many companies your data will contain before you commit to purchasing!

A wide range of contacts: We have contact details for prospective customers across a wide range of different industries meaning no matter what your product or service is, we have your needs covered. Check out our website for a full list of databases we can provide CRM ready data: Our list can be uploaded straight into your CRM system of choice, meaning your sales team can start reaching out to prospective customers immediately.

Competitive pricing: We’re one of the most cost-effective companies on the market, combining a high-quality product with an accessible price point. Decades of experience: With several years of experience in the sales agency, our team at Metric Central is well-equipped to understand your pain points and provide you with the data you need to help you sell your product or service

If you would like to know more about the data services we offer and how we can help you grow your business, please don’t hesitate to get in touch with us today, and one of our experienced team reach out to you with the information you need.

Please note: All data is supplied under legitimate interest. The term of supply is as standard of a 12-month multi licence agreement which allows unlimited postal and telephone communication with 12 cold email sends.

The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

Business Listings Database is the source of point-of-interest data and can provide you with all the information you need to analyze how specific places are used, what kinds of audiences they attract, and how their visitor profile changes over time.

The full fields description may be found on this page: https://docs.dataforseo.com/v3/databases/business_listings/?bash

With 56 Million Businesses in the United States of America, Techsalerator has access to the highest B2B count of Data/ Business Data in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all states and cities in the country : Example covered.

All states :

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho IllinoisIndiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri MontanaNebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon PennsylvaniaRhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

A few cities : New York City NY Los Angeles CA Chicago IL Houston TX Phoenix AZ Philadelphia PA San Antonio TX San Diego CA Dallas TX Austin TX San Jose CA Fort Worth TX Jacksonville FL Columbus OH Charlotte NC Indianapolis IN San Francisco CA Seattle WA Denver CO Washington DC Boston MA El Paso TX Nashville TN Oklahoma City OK Las Vegas NV Detroit MI Portland OR Memphis TN Louisville KY Milwaukee WI Baltimore MD Albuquerque NM Tucson AZ Mesa AZ Fresno CA Sacramento CA Atlanta GA Kansas City MO Colorado Springs CO Raleigh NC Omaha NE Miami FL Long Beach CA Virginia Beach VA Oakland CA Minneapolis MN Tampa FL Tulsa OK Arlington TX Wichita KS Bakersfield CA Aurora CO New Orleans LA Cleveland OH Anaheim CA Henderson NV Honolulu HI Riverside CA Santa Ana CA Corpus Christi TX Lexington KY San Juan PR Stockton CA St. Paul MN Cincinnati OH Greensboro NC Pittsburgh PA Irvine CA St. Louis MO Lincoln NE Orlando FL Durham NC Plano TX Anchorage AK Newark NJ Chula Vista CA Fort Wayne IN Chandler AZ Toledo OH St. Petersburg FL Reno NV Laredo TX Scottsdale AZ North Las Vegas NV Lubbock TX Madison WI Gilbert AZ Jersey City NJ Glendale AZ Buffalo NY Winston-Salem NC Chesapeake VA Fremont CA Norfolk VA Irving TX Garland TX Paradise NV Arlington VA Richmond VA Hialeah FL Boise ID Spokane WA Frisco TX Moreno Valley CA Tacoma WA Fontana CA Modesto CA Baton Rouge LA Port St. Lucie FL San Bernardino CA McKinney TX Fayetteville NC Santa Clarita CA Des Moines IA Oxnard CA Birmingham AL Spring Valley NV Huntsville AL Rochester NY Cape Coral FL Tempe AZ Grand Rapids MI Yonkers NY Overland Park KS Salt Lake City UT Amarillo TX Augusta GA Columbus GA Tallahassee FL Montgomery AL Huntington Beach CA Akron OH Little Rock AR Glendale CA Grand Prairie TX Aurora IL Sunrise Manor NV Ontario CA Sioux Falls SD Knoxville TN Vancouver WA Mobile AL Worcester MA Chattanooga TN Brownsville TX Peoria AZ Fort Lauderdale FL Shreveport LA Newport News VA Providence RI Elk Grove CA Rancho Cucamonga CA Salem OR Pembroke Pines FL Santa Rosa CA Eugene OR Oceanside CA Cary NC Fort Collins CO Corona CA Enterprise NV Garden Grove CA Springfield MO Clarksville TN Bayamon PR Lakewood CO Alexandria VA Hayward CA Murfreesboro TN Killeen TX Hollywood FL Lancaster CA Salinas CA Jackson MS Midland TX Macon County GA Kansas City KS Palmdale CA Sunnyvale CA Springfield MA Escondido CA Pomona CA Bellevue WA Surprise AZ Naperville IL Pasadena TX Denton TX Roseville CA Joliet IL Thornton CO McAllen TX Paterson NJ Rockford IL Carrollton TX Bridgeport CT Miramar FL Round Rock TX Metairie LA Olathe KS Waco TX

As of June 2024, the most popular database management system (DBMS) worldwide was Oracle, with a ranking score of 1244.08; MySQL and Microsoft SQL server rounded out the top three. Although the database management industry contains some of the largest companies in the tech industry, such as Microsoft, Oracle and IBM, a number of free and open-source DBMSs such as PostgreSQL and MariaDB remain competitive. Database Management Systems As the name implies, DBMSs provide a platform through which developers can organize, update, and control large databases. Given the business world’s growing focus on big data and data analytics, knowledge of SQL programming languages has become an important asset for software developers around the world, and database management skills are seen as highly desirable. In addition to providing developers with the tools needed to operate databases, DBMS are also integral to the way that consumers access information through applications, which further illustrates the importance of the software.

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

Flexible pricing available to meet all your business needs. Available for transactional orders or full licensing.

Data Fields Include: -Business Owner/Contact -Employee Size -Email -Ethnic Group of Contact Person -Executives by Title -Fax Number -Gender of Contact Person -Headquarters/Branches -Home Based Businesses -Minority Owner Businesses -NAICS code -Professional Specialties -Sales Volume -SIC code -Small Business Owners -Square Footage -Telephone Numbers -UCC Indicator -Website Address -Year Established

A list of businesses located in London showing a range of information including company name, address, postcode, local authority, and SIC code (industry).

The Free Company Data Product is a downloadable data snapshot containing basic company data of live companies on the register. The version available from Companies House has all UK business and is available to download in a series of Zip folders.

The London cut available to download here, was created using a postcode list. Therefore, if there is an error in the postcode, or some other problem caused the postcode listed not to match a London postcode, those business will not be included in the file. Furthermore, inaccuracies in postcodes may mean that no local authority is listed for a company.

Each entry represents a financial accounts submission of either a whole company or part of one. Some businesses have more than one entry in the directory because they need to submit more than one set of accounts for different parts of their business. Therefore, the number of entries in the directory will be greater than the number of businesses.

Note, Large file size - the Excel file is around 1 million rows. It loads in Excel 2010.

Companies House update the latest snapshot within 5 working days of the previous month end. The London file available here was published on 1 January 2015.

Abstract copyright UK Data Service and data collection copyright owner. The Annual Business Survey (ABS) is an annual survey of businesses covering the production, construction, distribution and service industries, which represents about two-thirds of the UK economy in terms of Gross Value Added (GVA). Every year, ABS questionnaires are sent by the Office for National Statistics (ONS) to around 62,000 businesses in Great Britain, and by the Department for Finance and Personnel Northern Ireland (DFPNI) to around 9,000 businesses in Northern Ireland. Data for Northern Ireland are not available from the UK Data Archive. The ABS is the largest business survey conducted by the ONS in terms of the combined number of respondents and variables it covers (62,000 questionnaires despatched in Great Britain, with around 600 different questions asked). It is the key resource for understanding the detailed structure and performance of businesses across the UK, and is a large contributor of business information to the UK National Accounts. ABS provides a number of high-level indicators of economic activity such as the total value of sales and work completed by businesses, the value of purchases of goods, materials and services, stocks, capital expenditure, and total employment costs. The contribution of different industries to the overall value of economic activity can be assessed and, although estimates of employment from each company are not now collected at the same time, by combining ABS with employment information from the Business Register and Employment Survey (BRES) it is also possible to get a measure of value added and costs per head to allow better comparison between industrial sectors of different sizes. The indicators in the ABS publications are collected and presented as monetary values or counts, for example, approximate Gross Value Added (aGVA), numbers of enterprises. They are essentially a snapshot of UK business activity, and can be used to understand the level of the contributions to the UK economy from different sectors of the economy at any one time. The ABS replaced the Annual Business Inquiry, Part 2 (ABI/2) in 2009, although ABS data are available for 2008. The BRES replaced the Annual Business Inquiry, Part 1 (ABI/1) in 2009. The BRES data for 2009 onwards are held separately under UK Data Archive SN 7463. ABI/1 and ABI/2 data for 2008 and earlier are held under UK Data Archive SN 6644, Annual Respondents Database: Secure Access (ARD). Researchers who are applying for access to the ABS and who also require data prior to 2008 are recommended to also apply for the ARD data under SN 6644. Linking to other business studies These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available. Normal 0 false false false EN-GB X-NONE X-NONE / Style Definitions / table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} Latest edition information For the 17th edition (August 2023), data files for 2020 have been revised and provisional data and documentation for 2021 have been added.

Dataset

This dataset was created by People Data Labs

Contents

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

Snapshot img

Graph Database Market Size 2024-2028

The graph database market size is forecast to increase by USD 11.81 billion at a CAGR of 24.4% between 2023 and 2028.

The graph database market is experiencing rapid growth, fueled by the increasing importance of understanding complex data relationships. Drivers include the rise of open knowledge networks, enabling sophisticated data analytics and the growing demand for real-time insights through low-latency query processing. Businesses across diverse sectors are leveraging graph databases to enhance customer relationship management, detect fraud, personalize recommendations, and gain competitive advantage. However, the lack of industry standards and the need for specialized expertise present challenges to broader adoption. Despite these hurdles, the market's future remains bright. As organizations increasingly rely on data-driven decision-making and seek to unlock the potential hidden within interconnected data, the graph database market is poised for continued expansion. This report explores key trends, challenges, and opportunities within this dynamic landscape.

What will be the Size of the Graph Database Market During the Forecast Period?

Request Free Sample

The market has experienced significant growth in recent years, driven by the increasing demand for advanced data management solutions in various industries. Graph databases, which utilize the property graph model to represent data as interconnected entities or vertices and relationships or edges, offer unique advantages for handling complex, interconnected data. This model is particularly well-suited for applications in social networks, recommendation engines, and business processes that require real-time analytics and visualization. Despite their benefits, graph databases face challenges such as a lack of standardization and the need for specialized skills for programming and managing these databases. However, their ease of use and ability to handle long tasks, stored procedures, and indexes make them an attractive option for industries such as finance, logistics, medical information, and disease surveillance.
Graph databases are deployed in both on-premises data centers and cloud regions, providing flexibility for businesses with varying IT infrastructures. Applications of graph databases include route optimization, warehouse management, and logistics management, making them essential tools for logistics professionals.

How is this Graph Database Industry segmented and which is the largest segment?

The graph database industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Large enterprises
  SMEs


Type

  RDF
  LPG


Solution

  Graph Extension
  Graph Processing Engines
  Native Graph Database
  Knowledge Graph Engines


Geography

  North America

    US


  Europe

    Germany
    UK
    France


  APAC

    China


  South America



  Middle East and Africa

By End-user Insights

The large enterprises segment is estimated to witness significant growth during the forecast period.

Graph databases have gained significant traction among large enterprises due to their ability to effectively model and analyze complex, interconnected data. Unlike traditional relational databases, graph databases naturally represent relationships between data entities, facilitating more efficient querying and analysis. This is particularly beneficial for businesses seeking real-time insights, such as customer behavior analysis, personalized marketing, and fraud detection. Graph databases enable fast data processing and offer advanced analytics tools, making them an ideal choice for industries like finance, logistics, and healthcare.

However, the lack of standardization and technical expertise required for graph database implementation can pose challenges. Popular graph database technologies include Cypher and Gremlin, based on the Property Graph model, which utilizes vertices, edges, labels, and indexes for data representation. Integration with recommendation engines, social networks, and data management solutions is essential for maximizing the value of graph databases. Cloud deployments in various data centers and regions provide flexibility and scalability. Despite these advantages, data silos and hoarding remain prevalent issues, necessitating data integration solutions for enterprise data unification.

Get a glance at the Graph Database Industry report of share of various segments Request Free Sample

The Large enterprises segment was valued at USD 2.2 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 34% to the growth of the global mar

Abstract copyright UK Data Service and data collection copyright owner. The Business Register and Employment Survey (BRES) is the official source of employee and employment estimates by detailed geography and industry. It is also used to update the Inter-Departmental Business Register (IDBR), the main sampling frame for business surveys conducted by the Office for National Statistics (ONS), with information on the structure of businesses in the UK. The survey collects employment information from businesses across the whole of the UK economy for each site that they operate. This allows the ONS to produce employee and employment estimates by detailed geography and industry split by full-time/part-time workers and whether the business is public/private. The ONS produces a number of different measures of employment including Workforce Jobs and the Annual Population Survey/Labour Force Survey. However, BRES is the recommended source of information on employment by detailed geography and industry. The BRES has two purposes: collecting data to update local unit information and business structures on the IDBR, and producing published annual employment statistics. The BRES sample does not include Northern Ireland. Northern Ireland data are received direct from the Northern Ireland Department of Enterprise, Trade and Investment (DETINI) which are used to create UK estimates. The UK Data Archive holds data only for Great Britain. The BRES replaced the Annual Business Inquiry, Part 1 (ABI/1) in 2009. ABI/1 data for 2009 and earlier are held as part of the Annual Respondents Database under UK Data Archive SN 6644. Change in sampling from 2015-2016 In 2015, ONS made a strategic decision to include business units with a single PAYE code for which VAT data are available. Prior to 2015, such units were excluded from the sampling frame and therefore not estimated for in ONS outputs. So from January 2016, the coverage of BRES was extended to include a population of solely PAYE based businesses. This improvement in coverage is estimated to have increased the business survey population by around 100,000 businesses, with a total of around 300,000 employment and 200,000 employees between December 2015 and January 2016. The increase in business population has led to an increase in the estimate of employment and employees for the 2015 dataset. Further information is available in documentation file '7463_bres_2015_change_in_firm_sampling.pdf'. Linking to other business studies These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.Latest edition informationFor the thirteenth edition (February 2024), the 'revised 2021' and 'provisional 2022' data files have been added.

Snapshot img

Enterprise Search Market Size 2024-2028

The enterprise search market size is forecast to increase by USD 3.61 billion at a CAGR of 9.95% between 2023 and 2028. The market is experiencing significant growth, driven by the increasing penetration of the Internet worldwide and the tide in the adoption of digital assistants and voice search. Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies are revolutionizing search experiences, enabling personalized results and improving user experience.

However, challenges persist, including the existence of data silos and the need to manage both structured and unstructured data. Remote work trends have also highlighted the importance of strong and secure enterprise search solutions to ensure business continuity and productivity. Concurrently, concerns related to cyberattacks and data privacy have heightened the need for advanced security features in enterprise search platforms.

Request Free Sample

The market is a significant segment of the business world, focusing on delivering efficient and effective data search solutions for organizations. This market caters to various sectors, including business search, data management, databases, emails, intranets, and more. With the advent of SAAS and cloud computing, enterprise search solutions have become more accessible and cost-effective. Integration tools play a crucial role in enterprise search, enabling seamless data accessibility from various sources. The market is witnessing a wave in demand due to the increasing need for data management and the growing volumes of big data. Security is a critical concern, with authorized access and sensitive data protection being essential features.

Further, artificial intelligence (AI), machine learning, natural language processing (NLP), and other advanced technologies such as machine vision, optical character recognition, hashing technology, and AI-powered personalized search experiences are transforming the enterprise search landscape. The banking and finance industry, in particular, benefits significantly from cloud-based technologies and AI, ensuring data silos are a thing of the past. Enterprise search solutions cater to both structured and unstructured data, making it easier for businesses to extract valuable insights and improve overall efficiency. The integration of AI, NLP, and other advanced technologies is revolutionizing the way organizations manage and utilize their data.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Local search
  Hosted search


End-user

  Large enterprises
  Small and medium enterprises


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The local search segment is estimated to witness significant growth during the forecast period. The market experienced significant growth in 2023, with the local search segment leading the way. This dominance is attributed to the increasing importance of optimizing a business's online presence within a specific geographical area. Local search is particularly advantageous for small businesses, including dental clinics, real estate firms, and legal practices. By targeting local audiences, businesses can enhance their online visibility, attract more traffic to their brick-and-mortar locations, and optimize online directories and citations. Information retrieval is a crucial aspect of enterprise search solutions, and local search plays a pivotal role in ensuring data accessibility for businesses in various industries, such as banking and finance and healthcare.

The integration of search solutions into business processes enhances overall efficiency, while strong security measures ensure the protection of sensitive data. The focus on local search is expected to continue during the forecast period, as businesses strive to connect with their audiences in a more targeted and effective manner.

Get a glance at the market share of various segments Request Free Sample

The local search segment accounted for USD 2.37 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

North America is estimated to contribute 46% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions Request Free Sample

The market in North America is experiencing significant growth due to the region's technological advancements and high penetration of digital devices. The US, in pa

Journal of Business Ethics Acceptance Rate - ResearchHelpDesk - The Journal of Business Ethics publishes only original articles from a wide variety of methodological and disciplinary perspectives concerning ethical issues related to business that bring something new or unique to the discourse in their field. Since its initiation in 1980, the editors have encouraged the broadest possible scope. The term business' is understood in a wide sense to include all systems involved in the exchange of goods and services, whileethics' is circumscribed as all human action aimed at securing a good life. Systems of production, consumption, marketing, advertising, social and economic accounting, labor relations, public relations, and organizational behavior are analyzed from a moral viewpoint. The style and level of dialogue involve all who are interested in business ethics - the business community, universities, government agencies, and consumer groups. Speculative philosophy as well as reports of empirical research are welcomed. In order to promote a dialogue between the various interested groups as much as possible, papers are presented in a style relatively free of specialist jargon. FT 50 - This journal is one of the 50 journals used by the Financial Times in compiling the prestigious Business School research rank Thomson Reuters Journal Citation Reports® Ranking by Category Ethics 2/54 Business 33/147 Abstracted and indexed in ABS Academic Journal Quality Guide Australian Business Deans Council (ABDC) Journal Quality List CNKI Current Contents / Social & Behavioral Sciences EBSCO Book Review Digest Plus EBSCO Business Abstracts with Full Text EBSCO Business Source EBSCO Discovery Service EBSCO Education EBSCO Education Source EBSCO Health Business EBSCO Management Collection EBSCO Nonprofit Organization Reference Center EBSCO OmniFile ECONIS ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar Institute of Scientific and Technical Information of China JSTOR Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Central ProQuest Health Research Premium Collection ProQuest Politics Collection ProQuest Psychology Database ProQuest Social Science Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon PsycINFO Psyndex Research Papers in Economics (RePEc) SCImago SCOPUS Social Science Citation Index Journal of Business Ethics - RG Journal Impact: 1.54 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 1.54 2017 1.51 2016 1.49 2015 2.63 2014 2.72 2013 2.98 2012 2.79 2011 2.22 2010 2.18 2009 1.76 2008 2.32 2007 1.46 2006 1.23 2005 1.35 2004 1.08 2003 1.11 2002 1.04 2001 0.83 2000 1.12 Additional details of Journal of Business Ethics Cited half-life 7.30 Immediacy index 0.17 Eigenfactor 0.01 Article influence 0.31 Website description Journal of Business Ethics website Other titles Journal of business ethics, JBE, J.B.E., JoBE Publication type Journals ISSN 0167-4544 OCLC 8398838 Coverage 1982-ongoing Material type Periodical, Internet resource Document type Journal / Magazine / Newspaper, Internet Resource Journal of Business Ethics - Scimago Details

The global in-memory database market size was valued at USD 10.5643 billion in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 16.19% during the forecast period (2025-2033). The growth of the market is attributed to the increasing adoption of in-memory databases in various industries to improve data processing speed and performance. In-memory databases store data in the computer's main memory (RAM) instead of on a physical disk, which allows for faster data access and retrieval. Key market drivers include the growing volume of data, the need for real-time data analysis, and the increasing adoption of cloud computing. The growing volume of data, often referred to as "big data," is a significant factor driving market growth. The need for real-time data analysis is another key driver, as in-memory databases can provide faster data access than traditional databases. The increasing adoption of cloud computing is also driving market growth, as cloud-based in-memory databases offer scalability and flexibility. Recent developments include: March 2023: SAP revealed SAP Datasphere, the company's next-gen data management system. It gives customers easy access to business-ready data across the data landscape. SAP also announced strategic agreements with top data and AI companies, including Collibra NV, Confluent Inc., Databricks Inc., and DataRobot Inc., to improve SAP Datasphere and allow organizations to build a unified data architecture that securely combines SAP software data and non-SAP data., June 2023: IBM has released a new tool to aid corporations in monitoring their carbon footprint pollution across cloud services and improve their sustainability as they move to hybrid and multi-cloud environments. The IBM Cloud Carbon Calculator, an AI-powered dashboard, is now available to everyone. It can help clients access emissions data for various IBM Cloud tasks, such as AI, high-performance computing (HPC), and financial services., SingleStoreDB for December 2022 was announced last year by IBM and SingleStore. With IBM introducing SingleStoreDB as a solution, businesses are now moving forward in their strategic relationship to deliver the quickest, most scalable data platform that supports data-intensive programs. For Azure, AWS, and Microsoft Azure marketplace, IBM has released SingleStoreDB as a service., In April 2022, McObject issued the eXtremeDB/rt database management system (DBMS) for Green Hills Software’s Integrity RTOS. The first-ever commercial off-the-shelf (COTS) real-time DBMS satisfying basic criteria of temporal and deterministic consistency in data is known as eXtremeDB/rt. It was initially conceived and built as an integrated in-memory database system for embedded systems., November 2022: Redis, provider of real-time in-memory databases, and Amazon Web Services have formed a multi-year strategic alliance. It is a networked open-source NoSQL system that stores data on disk for durability before moving it to DRAM as required. As such, it can be used as a message broker cache, streaming engine, or database., December 2022: The largest Indian stock exchange, National Stock Exchange, opted for Raima Database Manager (RDM) Workgroup 12.0 In-Memory System as its foundational component for upcoming versions of its trading platform front-end called National Exchange for Automated Trading (NEAT)., On January 13th, 2021, Oracle launched Oracle Database 21c – the latest version of the world’s leading converged database available on Oracle Cloud with the Always Free tier of Oracle Autonomous Database included. It includes more than two hundred new features, according to Oracle’s press release, including immutable blockchain tables; In-Database JavaScript; native JSON binary data type; AutoML for in-database machine learning (ML); persistent memory store; enhancements, including improvements regarding graph processing performance that support sharding, multitenant, and security., Stanford engineers have developed a new chip to increase the efficiency of AI computing in August 2022. Stanford engineers have created a more efficient and flexible AI chip that could bring the power of AI into tiny edge devices., In-Memory Database Market Segmentation,

Relational

NoSQL

NewSQL

,

Online Analytical Processing (OLAP)

Online Transaction Processing (OLTP)

,

Transaction

Reporting

Analytics

,

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Rest of Europe

Asia-Pacific

China

Japan

India

Australia

South Korea

Australia

Rest of Asia-Pacific

Rest of the World

Middle East

Africa

Latin America

, . Potential restraints include: Security And Data Privacy Concerns 26.

The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

Amazon AWS - Cloud Platforms & Services

Companies using Amazon AWS

We have data on 1,070,574 companies that use Amazon AWS. The companies using Amazon AWS are most often found in United States and in the Computer Software industry. Amazon AWS is most often used by companies with 10-50 employees and 1M-10M dollars in revenue. Our data for Amazon AWS usage goes back as far as 2 years and 1 months.

What is Amazon AWS?

Amazon Web Services (AWS) is a collection of remote computing services, also called web services that make up a cloud computing platform offered by Amazon.com.

Top Industries that use Amazon AWS

Looking at Amazon AWS customers by industry, we find that Computer Software (6%) is the largest segment.

Distribution of companies using Amazon AWS by Industry

 Computer software - 67, 537 companies  Hospitals & Healthcare - 54, 293 companies  Retail - 39, 543 companies  Information Technology and Services - 35, 382 companies  Real Estate - 31, 676 companies  Restaurants - 30, 302 companies  Construction - 29, 207 companies  Automotive - 28, 469 companies  Financial Services - 23, 680 companies  Education Management - 21, 548 companies

Top Countries that use Amazon AWS

49% of Amazon AWS customers are in United States and 7% are in United Kingdom.

Distribution of companies using Amazon AWS by country

 United Sates – 616 2275 companies  United Kingdom – 68 219 companies  Australia – 44 601 companies  Canada – 42 770 companies  Germany – 31 541 companies  India – 30 949 companies  Netherlands – 19 543 companies  Brazil – 17 165 companies  Italy – 14 876 companies  Spain – 14 675 companies

Contact Information of Fields Include:-

• Company Name • Business contact number • Title
• Name • Email Address • Country, State, City, Zip Code • Phone, Mobile and Fax • Website • Industry • SIC & NAICS Code • Employees Size
• Revenue Size
• And more…

Why Buy AWS Users List from DataCaptive?

• More than 1,070,574 companies
• Responsive database • Customizable as per your requirements • Email and Tele-verified list • Team of 100+ market researchers • Authentic data sources

What’s in for you?

Over choosing us, here are a few advantages we authenticate-

• Locate, target, and prospect leads from 170+ countries • Design and execute ABM and multi-channel campaigns • Seamless and smooth pre-and post-sale customer service • Connect with old leads and build a fruitful customer relationship • Analyze the market for product development and sales campaigns • Boost sales and ROI with increased customer acquisition and retention

Our security compliance

We use of globally recognized data laws like –

GDPR, CCPA, ACMA, EDPS, CAN-SPAM and ANTI CAN-SPAM to ensure the privacy and security of our database. We engage certified auditors to validate our security and privacy by providing us with certificates to represent our security compliance.

Our USPs- what makes us your ideal choice?

At DataCaptive™, we strive consistently to improve our services and cater to the needs of businesses around the world while keeping up with industry trends.

• Elaborate data mining from credible sources • 7-tier verification, including manual quality check • Strict adherence to global and local data policies • Guaranteed 95% accuracy or cash-back • Free sample database available on request

Guaranteed benefits of our Amazon AWS users email database!

85% email deliverability and 95% accuracy on other data fields

We understand the importance of data accuracy and employ every avenue to keep our database fresh and updated. We execute a multi-step QC process backed by our Patented AI and Machine learning tools to prevent anomalies in consistency and data precision. This cycle repeats every 45 days. Although maintaining 100% accuracy is quite impractical, since data such as email, physical addresses, and phone numbers are subjected to change, we guarantee 85% email deliverability and 95% accuracy on other data points.

100% replacement in case of hard bounces

Every data point is meticulously verified and then re-verified to ensure you get the best. Data Accuracy is paramount in successfully penetrating a new market or working within a familiar one. We are committed to precision. However, in an unlikely event where hard bounces or inaccuracies exceed the guaranteed percentage, we offer replacement with immediate effect. If need be, we even offer credits and/or refunds for inaccurate contacts.

Other promised benefits

• Contacts are for the perpetual usage • The database comprises consent-based opt-in contacts only • The list is free of duplicate contacts and generic emails • Round-the-clock customer service assistance • 360-degree database solutions

GlobalSMM is a pioneering company in the social media marketing (SMM) industry, offering a comprehensive range of services to individuals and businesses looking to boost their online presence. With a vast database of deals, GlobalSMM provides a one-stop solution for clients seeking to increase their Instagram likes, YouTube followers, TikTok views, and other social media metrics. The company's reputation is built on its commitment to quality, speed, and affordability, making it a trusted partner for those seeking effective SMM solutions.

GlobalSMM's platform is designed to cater to diverse needs and budgets, with options ranging from instant non-drop services to flexible ordering systems. The company's user-friendly interface and multiple payment options ensure seamless transactions, while its dedication to customer support and satisfaction guarantees a positive experience for clients. With a focus on innovation and strategic partnerships, GlobalSMM continues to evolve and improve its services, solidifying its position as a leading SMM provider in the market.