7 datasets found
  1. C

    Competitor Analysis Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 24, 2025
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    Data Insights Market (2025). Competitor Analysis Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/competitor-analysis-tools-1943431
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The market for competitor analysis tools is experiencing robust growth, driven by the increasing importance of competitive intelligence in today's dynamic business landscape. The surge in digital marketing and the need for businesses, both SMEs and large enterprises, to understand their competitive positioning fuels demand for sophisticated tools offering comprehensive data analysis and actionable insights. Cloud-based solutions are dominating the market due to their scalability, accessibility, and cost-effectiveness compared to on-premises deployments. Key players like SEMrush, Ahrefs, and SimilarWeb are establishing strong market presence through continuous innovation, comprehensive feature sets, and targeted marketing strategies. However, the market also faces challenges, including the rising costs of data acquisition and the complexity of integrating various tools into existing workflows. The competitive landscape is characterized by a mix of established players and emerging niche providers. Differentiation is achieved through unique data sources, specialized analytics capabilities, and the ability to integrate seamlessly with other marketing and business intelligence platforms. The North American and European markets currently hold a significant share, owing to high technology adoption and established digital marketing ecosystems. However, growth is expected in Asia-Pacific regions as businesses in developing economies increasingly adopt digital strategies and seek competitive advantages. The forecast period (2025-2033) suggests continued expansion, propelled by technological advancements like AI-powered insights and the expanding use of social media analytics within competitor analysis. The market's segmentation reflects varying needs across different business sizes and deployment preferences. While large enterprises typically opt for comprehensive, feature-rich solutions capable of handling large datasets and integrating with various systems, SMEs often prioritize cost-effective, user-friendly tools providing essential insights. The choice between cloud-based and on-premises solutions depends on factors like IT infrastructure, security considerations, and budget constraints. As the market matures, we anticipate further consolidation through mergers and acquisitions, and the emergence of more specialized tools catering to specific industry needs. The overall trajectory indicates continued strong growth, with a focus on enhanced data analysis, improved user experiences, and seamless integration within broader business intelligence platforms.

  2. H

    Replication Data for: Search Engine Manipulation to Spread Pro-Kremlin...

    • dataverse.harvard.edu
    Updated Jan 20, 2023
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    Evan M. Williams (2023). Replication Data for: Search Engine Manipulation to Spread Pro-Kremlin Propaganda [Dataset]. http://doi.org/10.7910/DVN/OKNLOW
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 20, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Evan M. Williams
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/OKNLOWhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/OKNLOW

    Description

    These datasets and R script are to generate the visualizations used in "Search Engine Manipulation: SEO to Spread Kremlin-Aligned Disinformation". Data were collected from the Ahrefs (ahrefs.com) dashboard on Sep 22, 2022. Any re-use of this data must cite Ahrefs as the source. Data originally posted to Kilthub: https://figshare.com/articles/dataset/Search_Engine_Manipulation_to_Spread_Pro-Kremlin_Propaganda/21936030

  3. s

    Contractor SEO Pricing Data and Statistics 2025

    • seopricing.co
    html
    Updated Nov 10, 2025
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    SEO Pricing (2025). Contractor SEO Pricing Data and Statistics 2025 [Dataset]. https://seopricing.co/how-much-does-seo-cost-for-contractors/
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    htmlAvailable download formats
    Dataset updated
    Nov 10, 2025
    Dataset authored and provided by
    SEO Pricing
    Time period covered
    2022 - 2025
    Variables measured
    DIY SEO Cost, Hidden Cost Impact, Lead Value Example, SEO ROI Percentage, E-commerce SEO Cost, Local Search Intent, Local SEO Cost Range, Technical Audit Cost, Hourly Consulting Rate, Monthly Retainer Range, and 19 more
    Description

    Comprehensive dataset of contractor SEO pricing ranges, ROI statistics, conversion rates, lead generation data, and industry benchmarks compiled from multiple authoritative sources including WebFX, Moz, Clutch, Semrush, Google, Ahrefs, and RevenueCloudFX.

  4. s

    E-Commerce SEO Pricing Data and Statistics 2025

    • seopricing.co
    html
    Updated Nov 14, 2025
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    SEO Pricing (2025). E-Commerce SEO Pricing Data and Statistics 2025 [Dataset]. https://seopricing.co/how-much-does-e-commerce-seo-cost/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    SEO Pricing
    Time period covered
    2022 - 2025
    Variables measured
    Starter Plan Cost, Agency Service Cost, Enterprise Plan Cost, Meta Tag CTR Increase, One-Time Project Cost, Agency Speed Advantage, Freelancer Hourly Rate, In-House Annual Salary, Retainer Long-Term ROI, Retainer ROI Advantage, and 23 more
    Description

    Comprehensive dataset of e-commerce SEO pricing ranges, ROI statistics, traffic growth data, conversion rates, and industry benchmarks compiled from multiple authoritative sources including Google, Semrush, Ahrefs, Moz, WebFX, BrightEdge, and Clutch.

  5. s

    HVAC SEO Pricing Data and Statistics 2025

    • seopricing.co
    html
    Updated Nov 8, 2025
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    SEO Pricing (2025). HVAC SEO Pricing Data and Statistics 2025 [Dataset]. https://seopricing.co/how-much-does-hvac-seo-cost/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 8, 2025
    Dataset authored and provided by
    SEO Pricing
    Time period covered
    2023 - 2025
    Variables measured
    Example SEO ROI, Link Building Cost, Content Creation Cost, Organic Traffic from SEO, On-Page Optimization Cost, Comprehensive SEO Investment, Large Business SEO Cost Range, Small Business SEO Cost Range, SEO Conversion Rate Multiplier, Consumer Trust in Organic Results
    Description

    Comprehensive dataset of HVAC SEO pricing ranges, ROI statistics, conversion rates, and industry benchmarks compiled from multiple authoritative sources including BrightLocal, HubSpot, Moz, Ahrefs, and SEMrush.

  6. s

    Dental SEO Pricing Data and Statistics 2025

    • seopricing.co
    html
    Updated Nov 10, 2025
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    SEO Pricing (2025). Dental SEO Pricing Data and Statistics 2025 [Dataset]. https://seopricing.co/how-much-does-dental-seo-cost/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 10, 2025
    Dataset authored and provided by
    SEO Pricing
    Time period covered
    2023 - 2025
    Variables measured
    ROI Timeline, Basic Tier Cost, NYC CPC Premium, Rural Area Cost, Premium Tier Cost, Typical ROI Ratio, Standard Tier Cost, Hidden Costs Impact, Solo Practice Budget, Bounce Rate Reduction, and 23 more
    Description

    Comprehensive dataset of dental SEO pricing ranges, ROI statistics, patient acquisition rates, conversion data, and industry benchmarks compiled from multiple authoritative sources including WebFX, Moz, BrightLocal, Clutch, Ahrefs, Google, and UpCity.

  7. s

    Law Firm SEO Pricing Data and Statistics 2025

    • seopricing.co
    html
    Updated Nov 9, 2025
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    SEO Pricing (2025). Law Firm SEO Pricing Data and Statistics 2025 [Dataset]. https://seopricing.co/how-much-does-law-firm-seo-cost/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    SEO Pricing
    Time period covered
    2021 - 2025
    Variables measured
    Hidden Cost Impact, Large Firm SEO Cost, Small Firm SEO Cost, Average Legal SEO ROI, Keyword Research Cost, Mid-Size Firm SEO Cost, Geographic Cost Premium, Local Search Importance, One-Time SEO Audit Cost, Technical SEO Audit Cost, and 10 more
    Description

    Comprehensive dataset of law firm SEO pricing ranges, ROI statistics, conversion rates, keyword difficulty scores, and industry benchmarks compiled from multiple authoritative sources including Clutch, Moz, SEMrush, Ahrefs, BrightLocal, and Google.

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Click to copy link
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Close
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Data Insights Market (2025). Competitor Analysis Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/competitor-analysis-tools-1943431

Competitor Analysis Tools Report

Explore at:
doc, pdf, pptAvailable download formats
Dataset updated
Apr 24, 2025
Dataset authored and provided by
Data Insights Market
License

https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

Time period covered
2025 - 2033
Area covered
Global
Variables measured
Market Size
Description

The market for competitor analysis tools is experiencing robust growth, driven by the increasing importance of competitive intelligence in today's dynamic business landscape. The surge in digital marketing and the need for businesses, both SMEs and large enterprises, to understand their competitive positioning fuels demand for sophisticated tools offering comprehensive data analysis and actionable insights. Cloud-based solutions are dominating the market due to their scalability, accessibility, and cost-effectiveness compared to on-premises deployments. Key players like SEMrush, Ahrefs, and SimilarWeb are establishing strong market presence through continuous innovation, comprehensive feature sets, and targeted marketing strategies. However, the market also faces challenges, including the rising costs of data acquisition and the complexity of integrating various tools into existing workflows. The competitive landscape is characterized by a mix of established players and emerging niche providers. Differentiation is achieved through unique data sources, specialized analytics capabilities, and the ability to integrate seamlessly with other marketing and business intelligence platforms. The North American and European markets currently hold a significant share, owing to high technology adoption and established digital marketing ecosystems. However, growth is expected in Asia-Pacific regions as businesses in developing economies increasingly adopt digital strategies and seek competitive advantages. The forecast period (2025-2033) suggests continued expansion, propelled by technological advancements like AI-powered insights and the expanding use of social media analytics within competitor analysis. The market's segmentation reflects varying needs across different business sizes and deployment preferences. While large enterprises typically opt for comprehensive, feature-rich solutions capable of handling large datasets and integrating with various systems, SMEs often prioritize cost-effective, user-friendly tools providing essential insights. The choice between cloud-based and on-premises solutions depends on factors like IT infrastructure, security considerations, and budget constraints. As the market matures, we anticipate further consolidation through mergers and acquisitions, and the emergence of more specialized tools catering to specific industry needs. The overall trajectory indicates continued strong growth, with a focus on enhanced data analysis, improved user experiences, and seamless integration within broader business intelligence platforms.

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