The keyword rank tracking software market is anticipated to witness exponential growth, with a market size valued at XXX million in 2025 and projected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The growing demand for comprehensive solutions to monitor and improve search engine rankings, coupled with the increasing adoption of digital marketing strategies, is driving market expansion. Additionally, the advent of cloud-based platforms and advancements in artificial intelligence (AI) are further fueling market growth. Market segmentation plays a crucial role in understanding the dynamics of the keyword rank tracking software market. The market is segmented based on application (SMEs, Large Enterprises), type (Cloud-based, On-premises), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Key players in the market include SE Ranking, SERPWatcher by Mangools, Nightwatch, SEMrush, Wincher, SEO PowerSuite, Advanced Web Ranking, AccuRanker, Authority Labs, Serpstat, Labrika, Google Search Console, Whitespark, Rank Tracker, Raven Tools, Morningscore, RankWatch, Keyword Revealer, WebCEO, SpyFu, Diib, and many others. These companies are constantly innovating and expanding their offerings to cater to the evolving needs of businesses seeking to enhance their online visibility.

In November 2024, Google.com held the top spot in India's website rankings, averaging over 9.11 billion monthly visits. YouTube ranked second, with a traffic of 5.01 billion visits, while social platforms Instagram.com and Facebook.com followed with 765 million and 649 million monthly visits each. Internet penetration In the past decade, India has witnessed a remarkable transformation in its digital landscape. This substantial expansion has resulted in extensive digital connectivity, with more than half of India's 1.4 billion citizens now enjoying internet access. India ranked 52nd on the Digital Quality of Life Index in 2023, which revealed electronic infrastructure as one of the country’s strengths. YouTube in India As of 2025, India had the world’s largest YouTube user base, figuring over 491 million users. The video platform caters to the nation’s tech-savvy denizens as an educational resource and a source of entertainment. Moreover, YouTube has evolved into a dynamic space for digital marketing, especially harnessing the consumer base segment aged below 32.

In December 2023, Amazon.com was the leading online shopping website in the United States. During the measured period, the sprawling platform accounted for over 45 percent of desktop traffic in the e-commerce and shopping subcategory. In second place on the list was eBay.com, with 9.22 percent of visitors. Walmart ranked third with a bit less than six percent of web traffic. Why customers browse on Amazon The main reason behind the outstanding online traffic to Amazon is user behavior throughout the customer journey. Amazon serves as a search engine for U.S. consumers, with 73 percent browsing it for inspiration and product discovery. Another 65 percent of U.S. shoppers landed on Amazon to look for products and compare products. In turn, Google is left third in the ranking of most used platforms. Generational differences In the beauty segment, the customer journey is more likely to start on Amazon among senior consumers. In the United States, 44 percent of Baby Boomers started their search of beauty products on the marketplace, while only 35 percent of Gen Z consumers reported doing the same.

In November 2024, WhatsApp.com was the most engaging website worldwide, with users spending approximately 31 minutes and 17 seconds per visit on the website. YouTube.com was second in user engagement, with an average visit duration of 22 minutes and 24 minutes and 15 seconds. X.com, which ranks as the tenth most visited website worldwide, reported an average session length of 15 minutes and 26 seconds.

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

Datasets resulting from the Northland Potential Ecosystem report by Nick Singers (Singers & Rogers publication) and Ecosystem Prioritisation and Rarity by John Leathwick. Summaries of each dataset belowPotential Ecosystems:The ecosystem classification used to map potential ecosystems of Northland was developed by the Department of Conservation, as a tool for prioritising ecosystem management (Singers & Rogers 2014). This classification is a synthesis that amalgamates previous classifications and ecological studies aligned to an abiotic framework. It describes a full range of ecosystem types at a variety of scales in an approximation of the natural or potential state as they would have been observed if people arrived today in New Zealand. The classification system has two tables that describe ecosystem drivers of the abiotic environment (Singers and Rogers 2014) and biotic compositional description, which further includes ecosystem distribution and relevant source references (Singers and Rogers 2014). The data contained within these two tables have been used as the fundamental basis for mapping ecosystem types, supported by other readily available ecological descriptions, vegetation maps and relevant GIS layers such as soil maps of the Northland Region.Ecosystem Rarity:This layer consists of the intersection between the primary (see note below) ecosystem cover (as identified in the report ‘Indigenous Biodiversity Ranking for the Northland Region by J. R. Leathwick 2018) and the Northland Potential Ecosystem mapping (as identified in the report ‘A potential ecosystem map for the Northland Region: Explanatory information to accompany the map. Prepared for Northland Regional Council. © Nicholas Singers Ecological Solutions Ltd. NSES Ltd Report 12:2018/2019, June 2018.’Northland Biodiversity Ranking - Lake Ranks:Rankings of Lakes derived from a ranking analysis of indigenous-dominated terrestrial and freshwater ecosystems for the Northland Region.Northland Biodiversity Ranking - River Ranks:Rankings of rivers and streams derived from a ranking analysis of indigenous-dominated terrestrial and freshwater ecosystems for the Northland Region.Northland Biodiversity Ranking - Terrestrial Top 30 Sites:Delineation of the high priority terrestrial sites comprising 30% of the surviving indigenous-dominated ecosystems (or 10.6 % of the Northland Region) as identified in the ranking of terrestrial ecosystem areas derived from a ranking analysis of indigenous-dominated terrestrial ecosystems for the Northland Region.Northland Biodiversity Ranking - Terrestrial Top 30 Sites Additional 5:Delineation of the top 5 % of additional sites that would potentially make the largest additional gains assuming management is applied to the top 30% of sites as identified in the ranking of terrestrial ecosystem areas derived from a ranking analysis of indigenous-dominated terrestrial ecosystems for the Northland Region.

As of January 2024, mobile phones accounted for 87 percent of web page views in Nigeria. Vietnam ranked second, with mobile devices generating approximately 86.5 percent of web traffic. Belgium, Portugal, and Canada, saw less than 43 percent of their national internet traffic coming from mobile devices. Additionally, Japan ranked last for mobile internet traffic as of the beginning of 2024 - 37.6 percent of the total internet traffic in the country came from smartphones and internet connected mobile devices.

The size and share of the market is categorized based on Product (Keyword Research Tools, SEO Auditing Tools, Link Building Tools, Content Optimization Tools, Analytics Platforms) and Application (Website Optimization, SERP Ranking, Competitor Analysis, Traffic Analysis) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

This feed is filterable by Rank, Host ASN, Network, Days Unresolved, Insidents Reported, Last Reported:
Rank- Rank of UNRESOLVED ISP ABUSE LEADERBOARD
Host ASN- unique number that's available globally to identify an autonomous system
Network - Network in which attack took place
Day Unresolved - amount of days issue was unresolved
Insidents Reported -amount of insidents reported
Last Reported- Date issue was last reported ;

The global SEO Software market is anticipated to grow from a market size of USD 748 million in 2025 to USD 2,065.5 million by 2033, exhibiting a CAGR of 12.1% during the forecast period. The rising demand for SEO software is primarily attributed to the increasing adoption of digital marketing strategies by businesses worldwide. Businesses are recognizing the importance of search engine optimization (SEO) in enhancing their online visibility and driving organic traffic to their websites. This has led to a surge in the adoption of SEO software that automates various tasks and provides insights to improve website rankings in search results. Various factors driving the market growth include the increasing penetration of smartphones and mobile devices, which necessitates the use of mobile-based SEO software to optimize websites for mobile searches. Additionally, the growing complexity of SEO techniques and algorithms demands sophisticated software solutions to help businesses keep up with the latest industry trends and best practices. Furthermore, government organizations are increasingly adopting SEO software to improve their online presence and enhance public engagement. Key players in the SEO Software market include BrightEdge, Conductor, Linkdex, SpyFu, Yext, WordStream, G2 Crowd, and Moz. These companies offer a range of SEO software solutions tailored to meet the diverse needs of businesses and organizations.

In December 2024, the news website with the most monthly visits in the United States was nytimes.com, with a total of 463.07 million monthly visits in that month. In second place was cnn.com with close to 357 million visits, followed by foxnews.com with just over a quater of a million. Online news consumption in the U.S. Americans get their news in a variety of ways, but social media is an increasingly popular option. A survey on social media news consumption revealed that 55 percent of Twitter users regularly used the site for news, and Facebook and Reddit were also popular for news among their users. Interestingly though, social media is the least trusted news sources in the United States. News and trust Trust in news sources has become increasingly important to the American news consumer amidst the spread of fake news, and the public are more vocal about whether or not they have faith in a source to report news correctly. Ongoing discussions about the credibility, accuracy and bias of news networks, anchors, TV show hosts, and news media professionals mean that those looking to keep up to date tend to be more cautious than ever before. In general, news audiences are skeptical. In 2020, just nine percent of respondents to a survey investigating the perceived objectivity of the mass media reported having a great deal of trust in the media to report news fully, accurately, and fairly.

Web Analytics Market Valuation – 2024-2031

Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2031, growing at a CAGR of 18.58% from 2024 to 2031.

Web Analytics Market Drivers

Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

Web Analytics Market Restraints

Data Privacy and Security Concerns: As data privacy regulations become stricter, businesses must ensure that they collect and process user data ethically and securely.

Complex Web Analytics Tools: Some web analytics tools can be complex to implement and use, requiring technical expertise.

The Value Line Investment Survey is one of the oldest, continuously running investment advisory publications. Since 1955, the Survey has been published in multiple formats including print, loose-leaf, microfilm and microfiche. Data from 1997 to present is now available online. The Survey tracks 1700 stocks across 92 industry groups. It provides reported and projected measures of firm performance, proprietary rankings and analysis for each stock on a quarterly basis. This dataset, a subset of the Survey covering the years 1980-1989 has been digitized from the microfiche collection available at the Dewey Library (FICHE HG 4501.V26). It is only available to MIT students and faculty for academic research. Published weekly, each edition of the Survey has the following three parts: Summary & Index: includes an alphabetical listing of all industries with their relative ranking and the page number for detailed industry analysis. It also includes an alphabetical listing of all stocks in the publication with references to their location in Part 3, Ratings & Reports. Selection & Opinion: contains the latest economic and stock market commentary and advice along with one or more pages of research on interesting stocks or industries, and a variety of pertinent economic and stock market statistics. It also includes three model stock portfolios. Ratings & Reports: This is the core of the Value Line Investment Survey. Preceded by an industry report, each one-page stock report within that industry includes Timeliness, Safety and Technical rankings, 3-to 5-year analyst forecasts for stock prices, income and balance sheet items, up to 17 years of historical data, and Value Line analysts’ commentaries. The report also contains stock price charts, quarterly sales, earnings, and dividend information. Publication Schedule: Each edition of the Survey covers around 130 stocks in seven to eight industries on a preset sequential schedule so that all 1700 stocks are analyzed once every 13 weeks or each quarter. All editions are numbered 1-13 within each quarter. For example, in 1980, reports for Chrysler appear in edition 1 of each quarter on the following dates: January 4, 1980 – page 132 April 4, 1980 – page 133 July 4, 1980 – page 133 October 1, 1980 – page 133 Reports for Coca-Cola were published in edition 10 of each quarter on: March 7, 1980 – page 1514 June 6, 1980 – page 1518 Sept. 5, 1980 – page 1517 Dec. 5, 1980 – page 1548 Any significant news affecting a stock between quarters is covered in the supplementary reports that appear at the end of part 3, Ratings & Reports. File format: Digitized files within this dataset are in PDF format and are arranged by publication date within each compressed annual folder. How to Consult the Value Line Investment Survey: To find reports on a particular stock, consult the alphabetical listing of stocks in the Summary & Index part of the relevant weekly edition. Look for the page number just to the left of the company name and then use the table below to identify the edition where that page number appears. All editions within a given quarter are numbered 1-13 and follow equally sized page ranges for stock reports. The table provides page ranges for stock reports within editions 1-13 of 1980 Q1. It can be used to identify edition and page numbers for any quarter within a given year. Ratings & Reports Edition Pub. Date Pages 1 04-Jan-80 100-242 2 11-Jan-80 250-392 3 18-Jan-80 400-542 4 25-Jan-80 550-692 5 01-Feb-80 700-842 6 08-Feb-80 850-992 7 15-Feb-80 1000-1142 8 22-Feb-80 1150-1292 9 29-Feb-80 1300-1442 10 07-Mar-80 1450-1592 11 14-Mar-80 1600-1742 12 21-Mar-80 1750-1908 13 28-Mar-80 2000-2142 Another way to navigate to the Ratings & Reports part of an edition would be to look around page 50 within the PDF document. Note that the page numbers of the PDF will not match those within the publication.

Country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains. Country rankings may be compared or analysed separately. Indicators offered for each country: H Index, Documents, Citations, Citation per Document and Citable Documents.

The global market for AI SEO software tools is estimated to reach USD XXX million by 2033, growing at a CAGR of XX% over the forecast period. The growth of the market is attributed to the increasing adoption of artificial intelligence (AI) in various industries, including marketing and advertising. AI SEO software tools help businesses to optimize their websites and content for search engines by providing real-time insights, automating tasks, and generating high-quality content. Some of the key drivers of the market include the growing need for improved search engine rankings, the increasing adoption of content marketing, and the rising demand for personalized online experiences. The market for AI SEO software tools is segmented based on application, type, and region. By application, the market is divided into small and medium-sized enterprises (SMEs) and large organizations. By type, the market is classified into cloud-based and on-premise solutions. Geographically, the market is spread across North America, South America, Europe, the Middle East and Africa, and Asia Pacific. Some of the prominent vendors in the market include Surfer SEO, Alli AI, DiiB, Squirrly, Linkhunter, Frase, Can I Rank, Morphio AI, MarketBrew, INK, MarketMuse, BrightEdge, Clearscope, Page Optimizer Pro, Outranking, SE Ranking, WordLift, NexODN, and many more.

Market leader Facebook was the first social network to surpass one billion registered accounts and currently sits at more than three billion monthly active users. Meta Platforms owns four of the biggest social media platforms, all with more than one billion monthly active users each: Facebook (core platform), WhatsApp, Facebook Messenger, and Instagram. In the third quarter of 2023, Facebook reported around four billion monthly core Family product users. The United States and China account for the most high-profile social platforms Most top ranked social networks with more than 100 million users originated in the United States, but services like Chinese social networks WeChat, QQ or video sharing app Douyin have also garnered mainstream appeal in their respective regions due to local context and content. Douyin’s popularity has led to the platform releasing an international version of its network: a little app called TikTok. How many people use social media? The leading social networks are usually available in multiple languages and enable users to connect with friends or people across geographical, political, or economic borders. In 2022, Social networking sites are estimated to reach 3.96 billion users and these figures are still expected to grow as mobile device usage and mobile social networks increasingly gain traction in previously underserved markets.

Data of investigation published in the article "Ranking by relevance and citation counts, a comparative study: Google Scholar, Microsoft Academic, WoS and Scopus".

Abstract of the article:

Search engine optimization (SEO) constitutes the set of methods designed to increase the visibility of, and the number of visits to, a web page by means of its ranking on the search engine results pages. Recently, SEO has also been applied to academic databases and search engines, in a trend that is in constant growth. This new approach, known as academic SEO (ASEO), has generated a field of study with considerable future growth potential due to the impact of open science. The study reported here forms part of this new field of analysis. The ranking of results is a key aspect in any information system since it determines the way in which these results are presented to the user. The aim of this study is to analyse and compare the relevance ranking algorithms employed by various academic platforms to identify the importance of citations received in their algorithms. Specifically, we analyse two search engines and two bibliographic databases: Google Scholar and Microsoft Academic, on the one hand, and Web of Science and Scopus, on the other. A reverse engineering methodology is employed based on the statistical analysis of Spearman’s correlation coefficients. The results indicate that the ranking algorithms used by Google Scholar and Microsoft are the two that are most heavily influenced by citations received. Indeed, citation counts are clearly the main SEO factor in these academic search engines. An unexpected finding is that, at certain points in time, WoS used citations received as a key ranking factor, despite the fact that WoS support documents claim this factor does not intervene.