Context

This dataset gives more information about the FitBit Fitness Tracker notebook.

Content

The "competitors" dataset contains the data which is collected from the websites of five fitness tracker companies, along with using online search engines.

Acknowledgements

Any comments would be highly appreciated.

Inspiration

This dataset is provided to present some extra information for analyzing Bellabeat Analysis project.

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

Introduction

Microsoft OneNote Statistics: Microsoft OneNote, launched in November 2003, has evolved into a versatile digital note-taking application available across platforms such as Windows, macOS, Android, iOS, and the web. In 2024, Microsoft integrated its AI-powered assistant, Copilot, into OneNote, enhancing functionalities like summarizing handwritten notes, generating to-do lists, and converting voice recordings into structured text.

This integration allows users to transform handwritten notes into editable text and receive AI-generated summaries. Copilot also supports features like smart tagging, intelligent search, and contextual organization, streamlining the note-taking process. These AI enhancements are accessible through Microsoft 365 subscriptions, with Copilot features included in select Personal and Family plans, priced at USD 99.99 and USD 129.99 annually, respectively. The introduction of Copilot in OneNote signifies Microsoft's commitment to leveraging AI to improve productivity and user experience in digital note-taking.

. The article examines the major developments, usage, and market presence of Microsoft OneNote statistics in 2025, thus giving a better picture of its contribution to the productivity software ecosystem.

The highest number of monthly website visits among the major competitors of Nykaa was achieved by ******, with more than ** million visits a month in October 2024. This was followed by Nykaa Fashion and Tira Beauty.

Survey of innovation and business strategy, number of competitors that enterprise faced with highest selling good or service in its main market, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.

As of March 2025, Google represented 79.1 percent of the global online search engine market on desktop devices. Despite being much ahead of its competitors, this represents the lowest share ever recorded by the search engine in these devices for over two decades. Meanwhile, its long-time competitor Bing accounted for 12.21 percent, as tools like Yahoo and Yandex held shares of over 2.9 percent each. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of 2.02 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly 348.16 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users represented little over 33 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 21 percent of users in Mexico said they used Yahoo.

Competitive intelligence monitoring goes beyond your sales team. Our CI solutions also bring powerful insights to your production, logistics, operation & marketing departments.

Our CI Solution can analyze over 56 million company relations and over 80 million data records.

Why should you use our Competitive intelligence data? 1. Increase visibility: Our geolocation approach allows us to “get inside” any facility in the US, providing visibility in places where other solutions do not reach. 2. In-depth 360º analysis: Perform a unique and in-depth analysis of competitors, suppliers and customers. 3. Powerful Insights: We use alternative data and big data methodologies to peel back the layers of any private or public company. 4. Uncover your blind spots against leading competitors: Understand the complete business environment of your competitors, from third-tier suppliers to main investors. 5. Identify business opportunities: Analyze your competitor's strategic shifts and identify unnoticed business opportunities and possible threats or disruptions. 6. Keep track of your competitor´s influence around any specific area: Maintain constant monitoring of your competitors' actions and their impact on specific market areas.

How other companies are using our CI Solution? Enriched Data Intelligence: Our Market Intelligence data bring you key insights from different angles. Due Diligence: Our data provide the required panorama to evaluate a company’s cross-company relations to complement and enhance the information needed to decide whether or not to proceed with an acquisition.

From "digital" to the real field: Most competitive intelligence companies focus their solutions analysis on social shares, review sites, and sales calls. Our competitive intelligence strategy consists on tracking the real behavior of your market on the field, so that you can answer questions like:

-What uncovered need does my market have? -How much of a threat is my competition? -How my competitors are changing?

Clinical data analytics solutions market size projected to reach USD 759.76 Billion by 2034, with a 27.7% CAGR during the forecast period. Key players are IBM, Watson Health, Oracle Health, Cerner Corporation, and, others.

This is the code and data needed to replicate the figures of the paper. For more details see the Github repo: https://github.com/graebnerc/comp-sust23

Percentage of enterprises that faced a specific number of competitors in the main geographical market, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

Aviation Analytics Market is projected to grow at a CAGR of 12.3% to reach US$ 6.2 billion by 2034

Cloud Based Business Analytics Software Market Outlook

The global cloud-based business analytics software market size is projected to grow from USD 25 billion in 2023 to USD 65 billion by 2032, reflecting a compound annual growth rate (CAGR) of 11.5% over the forecast period. This impressive growth can be attributed to the increasing demand for data-driven decision-making processes, coupled with the proliferation of cloud computing technologies. With businesses striving to harness the power of big data, the adoption of cloud-based analytics solutions is seen as a strategic move to enhance operational efficiency, customer experience, and competitive advantage.

One of the primary growth factors driving the cloud-based business analytics software market is the exponential increase in the volume and variety of data generated by businesses globally. Organizations are increasingly recognizing the value of leveraging big data and analytics to drive business decisions and strategies. The cloud offers scalability and flexibility, enabling enterprises to analyze large datasets efficiently without the need for significant capital expenditure on IT infrastructure. Consequently, businesses are transitioning to cloud-based solutions to gain timely insights, enhance data accessibility, and improve decision-making processes.

Another significant factor contributing to the market growth is the rising trend of digital transformation across various industries. As organizations aim to stay competitive in an increasingly digital world, they are turning to cloud-based analytics to streamline operations, optimize resources, and enhance customer engagement. The integration of advanced technologies such as artificial intelligence and machine learning with cloud analytics is further boosting the market. These technologies enable predictive and prescriptive analytics capabilities, providing businesses with deeper insights and helping them to anticipate future trends and behaviors.

Additionally, the cost-effectiveness and operational efficiency offered by cloud-based solutions are key drivers of market growth. Traditional on-premises business analytics solutions require substantial upfront investment in hardware and maintenance. In contrast, cloud-based solutions offer a pay-as-you-go model, which significantly reduces costs and allows for greater flexibility. This is particularly appealing to small and medium enterprises (SMEs), which may have limited resources but still require robust analytics capabilities to compete with larger players. Cloud-based analytics empower SMEs to leverage data for strategic decision-making, thereby enhancing their overall performance and growth prospects.

Regionally, North America is expected to dominate the cloud-based business analytics software market, owing to the high concentration of tech-savvy businesses and early adoption of advanced technologies. However, Asia Pacific is anticipated to exhibit the highest growth rate during the forecast period, driven by the rapid adoption of cloud technologies, increasing internet penetration, and growing awareness of data analytics benefits in emerging economies. Europe is also expected to witness significant growth, bolstered by the region's strong focus on innovation and digitalization across industries.

Component Analysis

The cloud-based business analytics software market is segmented by component into software and services. The software segment holds a significant share of the market, driven by the increasing demand for advanced analytics tools that can provide real-time insights and facilitate data-driven decision-making. Various types of analytics software are available in the market, including data visualization, reporting, predictive analytics, and business intelligence solutions. These software solutions enable organizations to process and analyze vast amounts of data efficiently and effectively, allowing them to unlock valuable insights and drive business growth.

Within the software segment, there is a growing trend towards self-service analytics, which empowers business users to access and analyze data without relying heavily on IT departments. This trend is being fueled by the increasing adoption of user-friendly and intuitive analytics platforms that cater to users with varying levels of technical expertise. Self-service analytics tools are particularly beneficial for business users who need quick access to data insights to make timely decisions. As a result, these tools are driving increased adoption of cloud-based analytics software across various industry verticals.

Competitive intelligence monitoring goes beyond your sales team. Our CI solutions also bring powerful insights to your production, logistics, operation & marketing departments.

Why should you use our Competitive intelligence data? 1. Increase visibility: Our geolocation approach allows us to “get inside” any facility in the US, providing visibility in places where other solutions do not reach. 2. In-depth 360º analysis: Perform a unique and in-depth analysis of competitors, suppliers and customers. 3. Powerful Insights: We use alternative data and big data methodologies to peel back the layers of any private or public company. 4. Uncover your blind spots against leading competitors: Understand the complete business environment of your competitors, from third-tier suppliers to main investors. 5. Identify business opportunities: Analyze your competitor's strategic shifts and identify unnoticed business opportunities and possible threats or disruptions. 6. Keep track of your competitor´s influence around any specific area: Maintain constant monitoring of your competitors' actions and their impact on specific market areas.

How other companies are using our CI Solution? 1. Enriched Data Intelligence: Our Market Intelligence data bring you key insights from different angles. 2. Due Diligence: Our data provide the required panorama to evaluate a company’s cross-company relations to decide whether or not to proceed with an acquisition. 3. Risk Assessment: Our CI approach allows you to anticipate potential disruptions by understanding behavior in all the supply chain tiers. 4. Supply Chain Analysis: Our advanced Geolocation approach allows you to visualize and map an entire supply chain network. 5. Insights Discovery: Our relationship identifiers algorithms generate data matrix networks that uncover new and unnoticed insights within a specific market, consumer segment, competitors' influence, logistics shifts, and more.

From "digital" to the real field: Most competitive intelligence companies focus their solutions analysis on social shares, review sites, and sales calls. Our competitive intelligence strategy consists on tracking the real behavior of your market on the field, so that you can answer questions like: -What uncovered need does my market have? -How much of a threat is my competition? -How is the market responding to my competitor´s offer? -How my competitors are changing? -Am I losing or winning market?

The global player tracking market is experiencing robust growth, fueled by the increasing adoption of advanced analytics in sports to enhance player performance and team strategy. With a Compound Annual Growth Rate (CAGR) of 24.90% from 2019 to 2024, the market demonstrates significant potential. The market's expansion is driven by several factors, including the rising popularity of sports globally, technological advancements leading to more sophisticated and affordable tracking systems, and the growing demand for data-driven insights among coaches and athletes. The integration of wearable sensors, AI-powered analytics platforms, and high-speed video analysis is transforming the way teams train and compete, leading to increased investment in player tracking solutions. Market segmentation reveals strong growth across both solution and service offerings, catering to individual and team sports alike. North America currently holds a significant market share, driven by high technological adoption and a well-established sports industry infrastructure. However, Asia-Pacific is anticipated to witness significant growth in the coming years, propelled by rising participation in sports and increasing disposable incomes. The market faces challenges such as high initial investment costs for technology and the need for robust data infrastructure to support analysis. Nevertheless, the overall market trajectory remains positive, with significant opportunities for growth across various regions and segments. The competitive landscape is characterized by a mix of established technology providers and specialized sports analytics companies. Key players are continuously innovating to offer comprehensive solutions encompassing hardware, software, and analytics services. This competitive dynamic drives innovation and helps to improve the affordability and accessibility of player tracking technologies. Furthermore, the increasing demand for integrated solutions that seamlessly combine player tracking with other performance analysis tools, such as video analysis and biometrics, is shaping the market's future. The market is also witnessing the emergence of new entrants, offering niche solutions and specialized services targeting specific sports or performance aspects. This competitive landscape ensures continuous improvement in the quality, functionality, and accessibility of player tracking technology, benefiting athletes, coaches, and teams worldwide. Future growth will likely be driven by further advancements in sensor technology, the development of more user-friendly analytics platforms, and the integration of player tracking data with other performance metrics for comprehensive insights. Recent developments include: June 2022 - Stats Perform announced a new series of advanced football metrics by introducing live Opta Vision data feeds for the 2022-23 football season. Opta Vision represents a new generation of deeper sports data. By combining the company's industry-leading Opta event data with tracking data to create a single, merged dataset, Opta Vision delivers richer performance insights to professional teams. The merged dataset also utilizes the company's qwinn artificial intelligence to generate enriched data outputs. The new data outputs and predictive metrics include insights related to dynamic changes in a team's shape during a match., March 2022 - Catapult and Champion Data made a multi-year deal to supply performance analysis solutions to the Australian Football League (AFL). The teams across the AFL, AFLW and AFL Pathways will use Catapult's vector devices to empower data-driven decisions to enhance player performance, quantify findings to help mitigate the risk of injuries, and inform return-to-play processes.. Key drivers for this market are: Technological Advancements in Wearable Sports Devices. Potential restraints include: Technological Advancements in Wearable Sports Devices. Notable trends are: Wearable Devices Offers Potential Growth.

The global web design services market is experiencing robust growth, driven by the increasing digitalization of businesses and the rising demand for user-friendly and visually appealing websites. The market, estimated at $150 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, small and medium-sized enterprises (SMEs) are increasingly recognizing the importance of a strong online presence to compete effectively, leading to heightened demand for professional web design services. Secondly, the evolution of technologies like artificial intelligence (AI) and augmented reality (AR) is creating opportunities for innovative and interactive web design solutions, further boosting market growth. Finally, the ongoing shift towards mobile-first design and the growing adoption of responsive web design principles are also contributing to market expansion. The competitive landscape is dynamic, with a mix of large established agencies and independent freelancers vying for market share. Companies like Wix, Shopify, and Squarespace offer user-friendly website builders catering to a broader market segment, while specialized agencies like those listed (Seller's Bay, WebFX, etc.) focus on high-end customized solutions for enterprise clients. Despite the positive outlook, the market faces certain challenges. Competition from low-cost providers can pressure pricing and profit margins. Furthermore, maintaining skill sets relevant to evolving technologies requires ongoing investment in training and development for design professionals. The market is segmented by service type (e.g., e-commerce website design, portfolio websites, landing page design), industry vertical, and geographic region. While detailed regional data is unavailable, we can assume a higher concentration of market share in regions with advanced digital infrastructure and strong economic activity, such as North America and Western Europe. Future growth will likely be shaped by advancements in design software, the emergence of new design trends, and the increasing adoption of sophisticated analytics tools to optimize website performance.

Hadoop bigdata analytics market size and share is estimated to be USD 89.5 Billion by 2034, with a CAGR of 14.80% during the forecast period.

1.The size of disease epidemics remains difficult to predict, especially when parasites interact with multiple species. Traits of focal hosts like susceptibility could directly predict epidemic size, while other traits including competitive ability might shape it indirectly in communities with a ‘dilution effect’.

2.In a dilution effect, diluter taxa can reduce disease by regulating (lowering) the density of focal hosts (i.e., through competition), or by reducing encounters between focal hosts and parasites. However, these dilution mechanisms are rarely grounded in focal host traits, and the relative importance of host regulation vs. encounter reduction remains understudied.

3.Here, we map focal host traits to disease—via these dilution mechanisms—in communities with diluters. We measured two traits (competitive ability and susceptibility) for eight genotypes of a focal host (Daphnia), tracked the densities of each genotype in experimental mesocosms (+/- Ceriodaphnia competitor/diluters), and monitored their infections with a virulent fungal parasite (Metschnikowia) over 6-8 host generations. We disentangled the impacts of both traits on the density of infected hosts and partitioned dilution mechanisms using path models.

4.Higher susceptibility directly fueled larger epidemics. Simultaneously, weaker competitive ability indirectly suppressed epidemics by enabling higher densities of diluters. These higher densities of diluters reduced the density of infected hosts indirectly via host regulation. In contrast, encounter reduction was much weaker.

5.Our experiment strengthens the dilution effect paradigm with a predictable, traits-oriented framework. Similar traits—susceptibility, competitive ability, and their covariance—could help predict epidemic severity in a variety of other systems. Partitioning the direct and indirect effects of diluters could also delineate how they impact disease. Such trait-based insights could help broadly predict the size of epidemics in diverse communities.

In many species, males exhibit phenotypic plasticity in sexually selected traits when exposed to social cues about the intensity of sexual competition. To date, however, few studies have tested how this plasticity affects male reproductive success. We initially tested whether male mosquitofish, Gambusia holbrooki (Poeciliidae), change their investment in traits under pre- and post- copulatory sexual selection depending on the social environment. Focal males were exposed, for a full spermatogenesis cycle, to visual and chemical cues of rivals that were either present (competitive treatment) or absent (control). Males from the competitive treatment had significantly slower swimming sperm, but did not differ in sperm count from control males. When two males competed for a female, competitive treatment males also made significantly fewer copulation attempts and courtship displays than control males. Further, paternity analysis of 708 offspring from 148 potential sires, testing whether these changes in reproductive traits affected male reproductive success, showed that males previously exposed to cues about the presence of rivals sired significantly fewer offspring when competing with a control male. We discuss several possible explanations for these unusual findings.

Methods

We used the eastern mosquitofish, Gambusia holbrooki, to test whether exposure to social cues presumed to indicate the level of sexual competition affects male investment in different sexually selected traits, and ultimately reproductive success. We experimentally manipulated the perceived level of sexual competition by placing males in either a competitive or control environments for a full spermatogenesis cycle. More specifically, we provided test males with visual and olfactory access to a female, who was either alone or housed with rival males. We then investigated whether this affected male behavior and/or sperm production. Crucially, we then tested for an effect of the social treatment on male reproductive success when males from each treatment competed one on one with each other to sire offspring.

Males were exposed to the social treatments for five weeks and were then stripped of sperm to quantify sperm number and velocity. To restore their sperm reserves, males were returned to their treatment aquarium for another week. Next, we placed a pair of size-matched males from the competitive and control treatment with a virgin female and recorded their mating behavior on the first and third day. After one week, females were transferred to separate aquaria to give birth and we recorded the total amount of offspring produced. For a proportion of the offspring we performed paternity analysis to calculate male reproductive success. Finally, we also photographed and measured males and females.

For more information see publication Spagopoulou et al. AmNat 2020.

Abstract of the corresponding paper: Journal articles on language processing rarely comment on difficulties and obstacles in the construction of the material for experimental investigations. This is remarkable, given that the compilation of appropriate, i.e. valid and well-controlled, linguistic stimuli is one of the biggest challenges in psycholinguistic research. This holds in particular for languages other than English. This paper addresses a number of methodological issues that arose during the preparation of the material for an eye-tracking investigation of the Russian-German bilingual mental lexicon. As we intended to study intra- and interlingual coactivation, quadruples of two Russian and two German words with phonological overlap in the onset were needed. Thus, we discuss the concept of phonological overlap and consider phonetic and phonological differences between Russian and German. Furthermore, word frequency is known to be a crucial factor in language processing. However, several problems arise with the concept of frequency in general and in comparing frequency data from two languages. We broach this issue in the final section of this paper, presenting and discussing frequency data of different types. Lastly, we present and discuss how we assured that the pictures we used were reliably associated with the intended object names in each language, a critical pre-condition for materials to be used in the visual-world paradigm. Information on the data: The data presented here are the results of the pre-test discussed in the paper. German native speakers and Russian-German late bilinguals solved three tasks: naming, picture word matching and subjective frequency estimation of German or Russian picture/word-items.

The convention and bureaus industry markets and promotes communities and local facilities to business and leisure travelers. Operators also assist customers in locating meeting and convention sites and planning and supporting associated events. Revenue jumped over most of the past five years, but the negative effects of the pandemic challenged this trend. Stay-at-home orders, social distancing regulations and decreased consumer spending severely hurt the industry in 2020. As the vaccine was rolled out and restrictions were lifted completely, revenue jumped. Overall, revenue has inched up at a CAGR of 0.5% over the past five years to reach an estimated $3.3 billion in 2024, including an expected 2.4% rise in 2024. Profit is also expected to reach 4.0% of revenue in 2024. The industry heavily depends on travel trends, as business and leisure travelers are its core customers. The industry has benefitted from a jump in consumer spending, which has encouraged more travel. Operators have experienced various challenges regarding intensifying competition from online travel sites. The industry must increasingly compete with online travel sites that enable individuals to compare fares and directly book trips online instead of using visitor bureaus. As the economy continues to rally from pandemic-induced lows, domestic travel and inbound travel rates will continue to follow suit and accelerate. Despite growing demand for travel, conventions and other events, the industry will still compete with online travel sites, which is expected to limit revenue growth. Overall, revenue is forecast to increase at a CAGR of 1.8% to $3.6 billion over the five years to 2029.