The global market for Marketing Data Analysis Software is experiencing robust growth, driven by the increasing need for data-driven decision-making among businesses across diverse sectors. The market's expansion is fueled by several key factors, including the rising adoption of digital marketing strategies, the proliferation of marketing data from various sources (website analytics, social media, CRM systems, etc.), and the growing demand for improved marketing ROI. Businesses are increasingly leveraging these software solutions to gain deeper insights into customer behavior, campaign performance, and market trends, enabling them to optimize their marketing efforts and achieve better results. The retail and eCommerce sectors are currently leading the adoption, followed closely by banking and insurance, and media & entertainment. However, growth is expected across all segments as businesses recognize the value of sophisticated data analysis for competitive advantage. The market is segmented by software type, with website analysis software holding a significant share, but customer service and data analysis software are experiencing rapid growth due to the increasing focus on personalized customer experiences and advanced analytics capabilities. The competitive landscape is dynamic, with established players like HubSpot and Semrush alongside innovative startups. The market's maturity varies across regions; North America currently holds a significant market share due to early adoption and technological advancements, but Asia Pacific is expected to witness substantial growth in the coming years, driven by rapid digitalization and increasing internet penetration. This growth trajectory points toward a substantial increase in market value over the next decade, as more companies integrate data-driven strategies into their core business operations. The forecast period of 2025-2033 presents significant opportunities for market expansion. While North America and Europe maintain strong positions, the Asia-Pacific region is poised for rapid growth, fueled by increasing digital adoption and a burgeoning middle class. However, challenges remain, including the complexity of data integration from diverse sources, the need for skilled data analysts to interpret results effectively, and the rising concerns regarding data privacy and security. Furthermore, the cost of implementing and maintaining these software solutions can be a barrier to entry for smaller businesses. Nevertheless, the overall market outlook remains positive, with consistent growth projected through 2033. The continued innovation in areas like artificial intelligence (AI) and machine learning (ML) will further enhance the capabilities of marketing data analysis software, driving increased adoption and market value.

Results from Checkbot API to measure and collect 341 websites compatibility on multiple SEO variables (34 variables). Checkbot API indexes the website's code to find features capable of impacting SEO performance. Each website has been tested with the maximum number of links allowed to be crawled equally to 10.000 per test. In this way, we retrieved data about the overall websites performance including their sub-pages, and not only the main domain names. A scale from 0 (lowest rate) to 100 (highest rate) was adopted for each examined variable. This constitutes a useful managerial indicator of dealing with the quantification of websites performance while avoiding complex measurement systems that are difficult to be adopted by administrators. Websites tested were also categorized by the CMS type used. More information about the variables and the meaning of the results can be found at https://www.checkbot.io/

A database-driven web site on all living cephalopods (octopus, squid, cuttlefish and nautilus). Contact at cephbase@hotmail.com AccConID=21 AccConstrDescription=This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials. AccConstrDisplay=This dataset is licensed under a Creative Commons Attribution 4.0 International License. AccConstrEN=Attribution (CC BY) AccessConstraint=Attribution (CC BY) Acronym=None added_date=2004-08-11 10:24:36 BrackishFlag=None CDate=2004-05-10 cdm_data_type=Other CheckedFlag=0 Citation=NRCC, University of Texas Medical Branch, Phillip Lee, and James B. Wood; Biology Department, Dalhousie University, Cartiona L. Day and Ronald K. O'Dor., CephBase (European data). National Resource Center for Cephalopods (NRCC), 11 Aug 2004, Galveston, Texas. Comments=None ContactEmail=None Conventions=COARDS, CF-1.6, ACDD-1.3 CurrencyDate=None DasID=18 DasOrigin=Literature research DasType=Data DasTypeID=1 DateLastModified={'date': '2025-04-25 01:33:51.812809', 'timezone_type': 1, 'timezone': '+02:00'} DescrCompFlag=0 DescrTransFlag=0 Easternmost_Easting=32.34 EmbargoDate=None EngAbstract=A database-driven web site on all living cephalopods (octopus, squid, cuttlefish and nautilus). Contact at cephbase@hotmail.com EngDescr=CephBase is a dynamic relational database-driven web site that has been online since 1998. CephBase provides taxonomic data, distribution, images, videos, predator and prey data, size, references and scientific contact information for all living species of cephalopods (octopus, squid, cuttlefish and nautilus) in an easy to access, user-friendly manner.

Species Database: Search by scientific, common name or synonym to call up species-specific pages with information such as full taxonomy, type species, names, size, predators, prey, biogeography, distribution maps, country lists, life history, images, videos, references, genetic information links and other internet resources.

Image Database: Search our ~1650 cephalopod images which cover all life stages, behaviour, ecology, taxonomy as well as many other aspects of these amazing animals. Each image has a caption, key words, location, photographer and other data.

Video Database: There are ~150 video clips in the video database.

Reference Database: There are now over 6000 ceph papers in our reference database.

Researcher Directory: Looking for a grad school supervisor or cephalopod expert? There are over 400 names in the International Directory of Cephalopod Workers.

Predators and Prey: Search by predator, prey or cephalopod species in our predators and prey databases.

Biogeography: In collaboration with The Sea Around Us Project (Daniel Pauly, Principal Investigator), the species-specific occurrence records already in CephBase and geographical distributions of commercial species in the 1984 FAO Species Catalogue, have been allocated to 18 FAO Statistical Areas, 64 Large Marine Ecosystems and the Exclusive Economic Zones of about 200 maritime countries and territories. See the Biogeography page. Links to country lists are available on each species page, where applicable. Plots of the occurrence records can now be plotted with either the C-Squares Mapper (courtesy of Tony Rees, CSIRO) or the OBIS Specimen Mapper (courtesy of the Kansas Geological Survey and the Hexacorallia Project) and the distribution range maps can be viewed.

You can also view feedback we have received, FAQ's, links, our collaborators and the CIAC beak database in CephBase.

The CephBase project was created in 1998 by Dr. James Wood and Catriona Day, at Dalhousie University (Dr. Ron O'Dor, Principal Investigator), supported by the National Oceanographic Partnership Program. Since 2000, the database has been housed at the National Resource Center for Cephalopods at the University of Texas Medical Branch (Dr. Phil Lee, Principal Investigator) and continues to be maintained by Catriona Day at the UBC Fisheries Centre, Vancouver, BC. CephBase is part of the Census of Marine Life, an international program to explain the diversity, distribution and abundance of marine life. FreshFlag=None geospatial_lat_max=81.25 geospatial_lat_min=27.45 geospatial_lat_units=degrees_north geospatial_lon_max=32.34 geospatial_lon_min=-45.0 geospatial_lon_units=degrees_east infoUrl=None InputNotes=None institution=BBSR License=https://creativecommons.org/licenses/by/4.0/ Lineage=Prior to publication data undergo quality control checked which are described in https://github.com/EMODnet/EMODnetBiocheck?tab=readme-ov-file#understanding-the-output MarineFlag=0 modified_sync=2021-02-04 00:00:00 Northernmost_Northing=81.25 OrigAbstract=None OrigDescr=None OrigDescrLang=None OrigDescrLangNL=None OrigLangCode=None OrigLangCodeExtended=None OrigLangID=None OrigTitle=None OrigTitleLang=English OrigTitleLangCode=en OrigTitleLangID=15 OrigTitleLangNL=Engels Progress=In Progress PublicFlag=1 ReleaseDate=Aug 11 2004 12:00AM ReleaseDate0=2004-08-11 RevisionDate=None SizeReference=786 species sourceUrl=(local files) Southernmost_Northing=27.45 standard_name_vocabulary=CF Standard Name Table v70 StandardTitle=CephBase StatusID=1 subsetVariables=ScientificName,aphia_id TerrestrialFlag=0 UDate=2025-03-26 VersionDate=Feb 25 2004 12:00AM VersionDay=24 VersionMonth=5 VersionName=1 VersionYear=2006 VlizCoreFlag=1 Westernmost_Easting=-45.0

This dataset is about book subjects. It has 6 rows and is filtered where the books is The joy of Dreamweaver MX : recipes for data-driven Web sites. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

Use Cases:

✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

Key API Attributes:

• id (string, UUID) – Unique identifier for the company connection.
• category (string) – Type of relationship (e.g., vendor, client, partner).
• source_category (string) – Where the connection was detected (e.g., partner page, case study).
• source_url (string, URL) – Website where the relationship was found.
• individual_source_url (string, URL) – Specific page confirming the connection.
• context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
• first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
• last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
• company1 & company2 (objects) – Details of the two connected companies, including:
• - domain (string) – Company website domain.
• - company_name (string) – Official company name.
• - ticker (string, nullable) – Stock ticker, if available.

📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

The global website visitor tracking software market is experiencing robust growth, driven by the increasing need for businesses to understand online customer behavior and optimize their digital strategies. The market, estimated at $5 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This expansion is fueled by several key factors, including the rising adoption of digital marketing strategies, the growing importance of data-driven decision-making, and the increasing sophistication of website visitor tracking tools. Cloud-based solutions dominate the market due to their scalability, accessibility, and cost-effectiveness, particularly appealing to Small and Medium-sized Enterprises (SMEs). However, large enterprises continue to invest significantly in on-premise solutions for enhanced data security and control. The market is highly competitive, with numerous established players and emerging startups offering a range of features and functionalities. Technological advancements, such as AI-powered analytics and enhanced integration with other marketing tools, are shaping the future of the market. The market's geographical distribution reflects the global digital landscape. North America, with its mature digital economy and high adoption rates, holds a significant market share. However, regions like Asia-Pacific are showing rapid growth, driven by increasing internet penetration and digitalization across various industries. Despite the overall positive outlook, challenges such as data privacy regulations and the increasing complexity of website tracking technology are influencing market dynamics. The ongoing competition among vendors necessitates continuous innovation and the development of more user-friendly and insightful tools. The future growth of the website visitor tracking software market is promising, fueled by the continuing importance of data-driven decision-making within marketing and business strategies. A key factor will be the ongoing adaptation to evolving privacy regulations and user expectations.

The global split testing tools market is experiencing robust growth, driven by the increasing need for businesses to optimize their websites and online campaigns for enhanced conversion rates and user engagement. The market, estimated at $2 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% through 2033, reaching approximately $6 billion. This growth is fueled by several key factors, including the rising adoption of e-commerce, the proliferation of mobile devices, and the increasing sophistication of digital marketing strategies. Businesses are realizing that A/B testing and multivariate testing, core functionalities of split testing tools, are crucial for data-driven decision-making and maximizing ROI on their digital investments. The demand for personalization, another key trend, is driving the adoption of more advanced tools capable of delivering tailored experiences to individual users. Several segments contribute to this market growth. The enterprise segment holds a significant share, driven by large companies' need for comprehensive analytics and advanced features. However, the small and medium-sized business (SMB) segment is also expanding rapidly, as these businesses become increasingly aware of the benefits of data-driven optimization. Geographically, North America currently dominates the market due to early adoption and advanced digital infrastructure, but regions like Asia-Pacific are expected to show strong growth in the coming years driven by increasing internet penetration and digitalization. Competitive pressures are intensifying, with established players like Optimizely, VWO, and Adobe competing with emerging innovative solutions, leading to continuous improvements in tool functionality and affordability. However, challenges remain, including the complexity of implementing and interpreting A/B testing results, and the need for businesses to develop robust analytical capabilities to fully leverage the power of these tools.

Description

The datasets demonstrate the malware economy and the value chain published in our paper, Malware Finances and Operations: a Data-Driven Study of the Value Chain for Infections and Compromised Access, at the 12th International Workshop on Cyber Crime (IWCC 2023), part of the ARES Conference, published by the International Conference Proceedings Series of the ACM ICPS.

Using the well-documented scripts, it is straightforward to reproduce our findings. It takes an estimated 1 hour of human time and 3 hours of computing time to duplicate our key findings from MalwareInfectionSet; around one hour with VictimAccessSet; and minutes to replicate the price calculations using AccountAccessSet. See the included README.md files and Python scripts.

We choose to represent each victim by a single JavaScript Object Notation (JSON) data file. Data sources provide sets of victim JSON data files from which we've extracted the essential information and omitted Personally Identifiable Information (PII). We collected, curated, and modelled three datasets, which we publish under the Creative Commons Attribution 4.0 International License.

1. MalwareInfectionSet
We discover (and, to the best of our knowledge, document scientifically for the first time) that malware networks appear to dump their data collections online. We collected these infostealer malware logs available for free. We utilise 245 malware log dumps from 2019 and 2020 originating from 14 malware networks. The dataset contains 1.8 million victim files, with a dataset size of 15 GB.

2. VictimAccessSet
We demonstrate how Infostealer malware networks sell access to infected victims. Genesis Market focuses on user-friendliness and continuous supply of compromised data. Marketplace listings include everything necessary to gain access to the victim's online accounts, including passwords and usernames, but also detailed collection of information which provides a clone of the victim's browser session. Indeed, Genesis Market simplifies the import of compromised victim authentication data into a web browser session. We measure the prices on Genesis Market and how compromised device prices are determined. We crawled the website between April 2019 and May 2022, collecting the web pages offering the resources for sale. The dataset contains 0.5 million victim files, with a dataset size of 3.5 GB.

3. AccountAccessSet
The Database marketplace operates inside the anonymous Tor network. Vendors offer their goods for sale, and customers can purchase them with Bitcoins. The marketplace sells online accounts, such as PayPal and Spotify, as well as private datasets, such as driver's licence photographs and tax forms. We then collect data from Database Market, where vendors sell online credentials, and investigate similarly. To build our dataset, we crawled the website between November 2021 and June 2022, collecting the web pages offering the credentials for sale. The dataset contains 33,896 victim files, with a dataset size of 400 MB.

Credits Authors

• Billy Bob Brumley (Tampere University, Tampere, Finland)
• Juha Nurmi (Tampere University, Tampere, Finland)
• Mikko Niemelä (Cyber Intelligence House, Singapore)

Funding

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under project numbers 804476 (SCARE) and 952622 (SPIRS).

Alternative links to download: AccountAccessSet, MalwareInfectionSet, and VictimAccessSet.

The statistic represents to which extent French companies store and use their client data in 2019. The study compared data driven companies who already store their client information and use their data as a mean of transaction growth and non-data driven companies who do not yet orient themselves around client data. From the non-data driven companies, none of them tracked their users responsiveness to e-mail campaigns or other forms of advertisements and webpage visits. Of the data driven companies, 100 percent tracked their client contact information as opposed to ** percent from the non-data driven companies. Client orders were tracked by ** percent of the data driven companies compared to ** percent of the non-data driven ones. The details of the purchased products played to ** percent an important role for data driven companies who also fully tracked their website visits.

The web tracking technologies market, valued at $1124 million in 2025, is projected to experience robust growth, driven by the increasing need for website performance monitoring, user behavior analysis, and security enhancements across diverse industries. A compound annual growth rate (CAGR) of 8.9% from 2025 to 2033 suggests a substantial market expansion, reaching approximately $2,200 million by 2033 (this projection is based on a consistent CAGR application to the 2025 market value and is not an assertion of precise future value). Key drivers include the rising adoption of cloud-based solutions, the growing importance of data analytics for business decision-making, and the escalating demand for improved customer experience. Trends like the increasing sophistication of tracking technologies, the integration of AI and machine learning for enhanced insights, and the growing focus on data privacy and compliance are shaping the market landscape. While challenges like data security concerns and regulatory compliance requirements pose restraints, the overall market trajectory remains positive, fueled by the ongoing digital transformation across various sectors. The competitive landscape is marked by a mix of established players and emerging innovative companies. Major players such as Google, Adobe, and others offer comprehensive web analytics and tracking solutions, while specialized firms like Uptime Robot and Pingdom cater to specific niche needs. The market's segmentation likely includes categories such as website analytics, performance monitoring, user experience tracking, and security monitoring tools. The geographic distribution will show varied adoption rates, with regions like North America and Europe expected to lead initially due to high technological adoption and a strong focus on data-driven decision-making, followed by gradual growth in other regions. Further market growth will depend on the continued development of innovative tracking technologies, successful navigation of regulatory hurdles, and the sustained demand for enhanced website performance and user experience.

Unlock the Potential of Your Web Traffic with Advanced Data Resolution

In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

The global web analytics software market is experiencing robust growth, driven by the increasing adoption of digital strategies across industries and the rising need for data-driven decision-making. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key factors, including the growing prevalence of e-commerce, the proliferation of mobile devices, and the increasing sophistication of analytics tools. Businesses of all sizes are leveraging web analytics to understand user behavior, optimize marketing campaigns, improve website performance, and ultimately enhance customer experience and revenue generation. The cloud-based segment currently dominates the market due to its scalability, cost-effectiveness, and accessibility, while large enterprises represent a significant portion of the overall revenue due to their higher budgets and complex analytical needs. However, growing adoption among SMEs is also a significant contributor to market growth. Competitive pressures and ongoing innovation within the industry are driving continuous improvement in analytics capabilities, including enhanced AI and machine learning integration for more predictive analysis. Despite the positive outlook, the market faces challenges, including data security concerns, the complexity of implementing and utilizing advanced analytics solutions, and the potential for data overload and interpretation difficulties. The increasing regulatory landscape regarding data privacy (e.g., GDPR) also presents a constraint to market growth, requiring vendors to ensure compliance and build trust with customers. Nevertheless, the ongoing demand for data-driven insights across all sectors is expected to outweigh these challenges, ensuring sustained market expansion throughout the forecast period. The competitive landscape is populated by both established players (e.g., Google, SEMrush) and smaller, specialized providers, fostering innovation and driving down prices, making web analytics accessible to a wider range of businesses.

The global split testing tools market is experiencing robust growth, projected to reach $716.8 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 3.5% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of data-driven decision-making across industries, particularly in e-commerce and marketing, is a significant factor. Businesses are leveraging split testing to optimize website conversions, personalize user experiences, and improve marketing campaign effectiveness. Furthermore, the growing sophistication of split testing tools, incorporating advanced features like AI-powered personalization and seamless integrations with other marketing platforms, is driving adoption. The market is segmented by deployment type (web-based and cloud-based) and target user (large enterprises and SMEs). Cloud-based solutions are gaining traction due to their scalability, flexibility, and cost-effectiveness. Large enterprises are the dominant segment due to their higher budgets and greater need for sophisticated testing capabilities. However, SMEs are showing increasing adoption as the cost and complexity of these tools decreases. Geographic distribution reveals strong growth across North America and Europe, but significant opportunities exist in Asia-Pacific and other emerging markets as digital adoption accelerates. Competitive pressures are intensifying, with established players like Optimizely and Adobe competing with a range of specialized providers offering niche features and competitive pricing. The continued growth trajectory is expected to be influenced by several factors. The rise of mobile-first approaches requires more sophisticated testing strategies for optimal mobile experiences. Increasing emphasis on personalization necessitates tools capable of delivering highly targeted and tailored content. The integration of split testing with other marketing technologies such as CRM and analytics platforms will further enhance its value and drive market growth. Conversely, challenges such as the complexity of implementing and analyzing results, along with the need for skilled personnel to manage testing initiatives, could potentially hinder market expansion to some degree. However, the overall market outlook remains positive, driven by the increasing demand for data-driven marketing strategies and the continuous innovation in the split testing tools landscape.

This document provides an overview of the accompanying data files used in the manuscript entitled "Practical data-driven flood forecasting based on dynamical systems theory: Case studies from Japan."

db_kagetsu.csv: Past hourly data on Kagetsu gauging station and 4 precipitation stations (Tsurukochi, Kagetsu, Yokohata, and Mikuma) downloaded from the website of the Water Information System (http://www1.river.go.jp/).

db_hiwatashi.csv Past hourly data on 5 gauging stations (Takeshita, Otobou, Hirose, Ohjibashi, and Hiwatashi) and 14 precipitation stations (Sunoura, Nojiri, Kensetsutakaharu, Shika, Sano, Kirishima, Miike, Hiwatashi, Aoidake, Mimata, Kabayama, Takeshita, Hisokino, and Sueyoshi) downloaded from the website of the Water Information System (http://www1.river.go.jp/).

Market Overview: The global PC website builder market is projected to reach a value of USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period. This growth is primarily driven by the increasing demand for user-friendly and cost-effective website creation solutions for businesses and individuals. The proliferation of e-commerce, digital marketing, and the growing number of online users have further contributed to the market expansion. Market Drivers and Trends: Key drivers of the market include the increasing accessibility of web development tools, advancements in artificial intelligence (AI) and machine learning (ML), and the growing adoption of mobile-responsive website design. Additionally, the shift towards remote work and hybrid work models has further increased the demand for website builders that offer flexibility and ease of use. Notable trends include the integration of AI-powered features, the emergence of cloud-based solutions, and the growing popularity of code-free website development platforms.

Web Analytics Tools Market Outlook

The global web analytics tools market size was valued at approximately USD 4.5 billion in 2023 and is projected to reach USD 13.2 billion by 2032, growing at a CAGR of around 12.5% from 2024 to 2032. This growth is driven by the increasing utilization of data-driven decision-making processes across various industries. As organizations strive to enhance their digital presence and optimize their online strategies, the demand for advanced web analytics tools continues to surge.

One of the primary growth factors of the web analytics tools market is the rising adoption of digital marketing and online advertising. Companies are increasingly investing in digital channels to reach a broader audience and engage customers more effectively. Web analytics tools provide valuable insights into user behavior, campaign performance, and conversion rates, enabling businesses to refine their marketing strategies and achieve better ROI. As the digital landscape evolves, the need for sophisticated analytics tools to track and measure the effectiveness of online activities becomes more critical.

Another significant growth driver is the proliferation of e-commerce and the shift towards online shopping. With the exponential growth of online retail, businesses are seeking ways to optimize their websites, improve user experience, and increase sales. Web analytics tools play a crucial role in understanding customer preferences, identifying bottlenecks in the purchase process, and personalizing the shopping experience. As e-commerce continues to expand globally, the demand for robust web analytics solutions is expected to rise correspondingly.

The integration of artificial intelligence (AI) and machine learning (ML) technologies into web analytics tools is also propelling market growth. AI-powered analytics tools can analyze vast amounts of data in real-time, uncover hidden patterns, and generate actionable insights. By leveraging AI and ML capabilities, businesses can gain deeper insights into customer behavior, predict trends, and make data-driven decisions with greater accuracy. The incorporation of these advanced technologies is enhancing the efficiency and effectiveness of web analytics, driving higher adoption rates among enterprises.

The concept of Analytics of Things (AoT) is gaining traction as businesses increasingly seek to harness the power of connected devices and the data they generate. By integrating AoT into web analytics tools, organizations can gain deeper insights into device interactions, user behavior, and operational efficiencies. This integration allows businesses to make more informed decisions, optimize processes, and enhance customer experiences. As the Internet of Things (IoT) continues to expand, the role of AoT in web analytics is expected to grow, providing businesses with a competitive edge in the digital landscape.

In terms of regional outlook, North America holds the largest share of the web analytics tools market, driven by the presence of major technology companies and the high adoption of digital technologies in the region. The Asia Pacific region is expected to witness significant growth during the forecast period, fueled by the rapid digital transformation, increasing internet penetration, and the burgeoning e-commerce sector. Europe is also a key market, with growing awareness about the benefits of web analytics tools among businesses.

Component Analysis

The web analytics tools market is segmented based on components into software and services. The software segment holds a significant share of the market, driven by the increasing demand for advanced analytics solutions that provide real-time insights and comprehensive data analysis. Web analytics software includes various tools and platforms that help businesses track and measure website performance, user behavior, and marketing campaigns. The software segment is expected to continue its dominance during the forecast period, supported by continuous advancements in analytics technologies and the integration of AI and ML capabilities.

Services play a crucial role in the web analytics tools market by providing essential support, implementation, and consulting services to businesses. Professional services include consulting, training, and support services that help organizations effectively utilize web analytics tools and maximize their benefits. Managed services, on the other hand, offer ongoing monitoring,

Cookie and Website Tracker Scanning Software Market Outlook

The global cookie and website tracker scanning software market is poised for significant growth, with its market size valued at approximately $1.5 billion in 2023 and projected to reach around $4.2 billion by 2032, reflecting a compound annual growth rate (CAGR) of approximately 12.5%. This market's expansion is largely driven by the increasing emphasis on data privacy regulations and compliance, which necessitates businesses to implement robust solutions for monitoring and managing cookies and website trackers. The growing digitalization across various sectors and the rising consumer awareness regarding data privacy are also contributing significantly to the market's upward trajectory.

One of the primary growth factors propelling the cookie and website tracker scanning software market is the proliferation of stringent data privacy regulations worldwide. Laws such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, and other similar legislation globally mandate businesses to enhance their data protection measures. These regulations require organizations to provide transparency regarding data collection practices and ensure that users have control over their personal information. As a result, companies are increasingly adopting cookie and tracker scanning solutions to comply with these legal requirements and avoid potential penalties and reputational damage, thus driving market growth.

Another significant factor contributing to the market's expansion is the escalating awareness and concern among consumers regarding their online privacy. In an era where digital interactions are part and parcel of daily life, consumers are becoming more vigilant about how their data is collected, stored, and utilized by websites. This heightened awareness compels businesses to adopt ethical data practices and implement technologies that offer consumers clear insights into cookie usage and tracking activities. Consequently, organizations are integrating cookie and website tracker scanning software into their operations to enhance user trust and ensure transparency, thereby fostering market growth.

The rapid advancement of technology, leading to increased digitalization, is also a key driver for this market. As businesses across various industries embrace digital transformation, the online ecosystem becomes more complex with an influx of data tracking methods. This complexity necessitates the use of sophisticated tools to monitor, analyze, and manage website trackers effectively. The integration of advanced analytics and AI capabilities into scanning software enables organizations to gain deeper insights into user behavior while ensuring compliance with privacy regulations. This technological evolution is anticipated to further fuel the market's growth over the forecast period.

As the digital landscape continues to evolve, the role of a Consent Management Platform (CMP) becomes increasingly crucial in the realm of data privacy. A CMP serves as a centralized solution for managing user consent across various digital platforms, ensuring that businesses comply with data protection regulations such as GDPR and CCPA. By providing users with clear options to manage their consent preferences, these platforms enhance transparency and trust. Organizations are increasingly integrating CMPs into their operations to streamline consent management processes and reduce the risk of non-compliance. This integration not only helps in maintaining regulatory compliance but also strengthens the relationship between businesses and their users by respecting their privacy choices.

Regionally, North America holds a substantial share in the global cookie and website tracker scanning software market, owing to the early adoption of technology and stringent data privacy regulations in the region. The presence of major technology companies further fuels innovation and development in this market. Europe is also a significant market player, driven by the stringent GDPR regulations that necessitate robust compliance solutions. Meanwhile, the Asia Pacific region is expected to witness the fastest growth rate due to increasing internet penetration, digitalization initiatives, and growing awareness regarding data privacy. As economies in the region continue to develop, the demand for effective data protection solutions is likely to surge, contributing to the market's overall growth.

C

The Big Data User Behavior Analysis Platform market is experiencing robust growth, driven by the increasing need for businesses to understand user interactions and optimize digital experiences. The market, estimated at $15 billion in 2025, is projected to expand significantly over the next decade, fueled by a Compound Annual Growth Rate (CAGR) of 15%. This growth is propelled by several key factors: the proliferation of digital channels, the rise of personalized marketing strategies, the increasing adoption of cloud-based analytics solutions, and the growing demand for real-time data insights. Key market segments, including e-commerce and website analysis platforms, are witnessing particularly strong growth, as businesses leverage these platforms to improve conversion rates, customer retention, and overall business performance. The competitive landscape is marked by a mix of established players like Google and Adobe, alongside specialized analytics vendors such as Mixpanel and Amplitude. These companies are continuously innovating, incorporating advanced technologies like AI and machine learning to enhance their offerings and cater to evolving business needs. The geographic distribution of the market is diverse, with North America and Europe currently holding the largest market shares. However, rapid growth is anticipated in Asia-Pacific regions like India and China, fueled by increasing internet penetration and digital adoption. While the market faces certain restraints, such as data privacy concerns and the complexity of implementing big data analytics solutions, these challenges are being mitigated by advancements in data security technologies and user-friendly analytics platforms. The ongoing trend towards real-time analytics and predictive modeling will further drive market expansion, empowering businesses to make data-driven decisions with greater speed and accuracy. The forecast period of 2025-2033 promises substantial growth opportunities for both established players and emerging startups in this dynamic sector.

Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2032, growing at a CAGR of 18.58% from 2026 to 2032.

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.

analytics tools can be complex to implement and use, requiring technical expertise.

CephBase is a dynamic html (dhtml) relational database-driven interactive web site that has been online since 1998. The prototype version of CephBase was developed at Dalhousie Univeristy in Halifax, Canada and was sponsored by the Sloan Foundation following the Workshop on Non-Fish Nekton in Boston, December, 1997. As of 12/2000, CephBase has all the taxa, authorities, and the year the taxa was described online for all of the 703 known living species of cephalopods listed by Sweeney and Roper (1998). CephBase provides taxonomic data, distribution, images, videos, predator and prey data, size, references and scientific contact information for all living species of cephalopods (octopus, squid, cuttlefish and nautilus) in an easy to access, user-friendly manner.

Information on a particular species can be quickly located by using the search engine; results are listed in table format. Users simply click on a species cephalopod is displayed. Users can also display an alphabetized list of all cephalopod genera. Clicking on a genus leads to a list of all species it contains. For each species, synonymies, type repositories, type localities, references and common names are listed. References are listed in abbreviated form with access to full references.

Species Database:
Search by scientific, common name or synonym to call up species-specific pages with information such as full taxonomy, type species, names, size, predators, prey, biogeography, distribution maps, country lists, life history, images, videos, references, genetic information links and other internet resources.

Image Database:
Search our ~1650 cephalopod images which cover all life stages, behaviour, ecology, taxonomy as well as many other aspects of these amazing animals. Each image has a caption, key words, location, photographer and other data.

Video Database:
There are ~150 video clips in the video database.

Reference Database:
There are now over 6000 ceph papers in our reference database.

Researcher Directory:
Looking for a grad school supervisor or cephalopod expert? There are over 400 names in the International Directory of Cephalopod Workers.

Predators and Prey:
Search by predator, prey or cephalopod species in our predators and prey databases.

To answer the question, "Where does it live?", CephBase has 3,175 referenced localities for 328 species served by OBIS. All latitude and longitude data used to generate maps are from published sources and are listed in tables and referenced. In many cases, the individual specimens used to populate the database can be tracked to a museum repository.

The purpose of CephBase is to provide taxonomy, life history, distribution, fisheries, and ecology for all living cephalopod species (i.e., octopus, squid, cuttlefish and nautilus). Such a global database will facilitate collaboration both within the cephalopod community and among all marine sciences.

The data can be accessed through the following web portals (see Related URL field below):

-OBIS, Ocean Biogeographic Information System, CoML (Census of Marine Life) web portal.

-EurOBIS, the European Ocean Biogeographique Information System.

-SCAR-MarBIN, the Marine Biodiversity Information Network, Scientific Committee on Antarctic Research, International Council for Science.