This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970–2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.

Snapshot img

Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

Request Free Sample

The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

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

End-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector, gover

Market Research Intellect's Lifesciences Data Mining And Visualization Market Report highlights a valuation of USD 3.5 billion in 2024 and anticipates growth to USD 7.2 billion by 2033, with a CAGR of 8.5% from 2026-2033.Explore insights on demand dynamics, innovation pipelines, and competitive landscapes.

Check Market Research Intellect's Data Mining Software Market Report, pegged at USD 7.8 billion in 2024 and projected to reach USD 16.5 billion by 2033, advancing with a CAGR of 9.1% (2026-2033).Explore factors such as rising applications, technological shifts, and industry leaders.

Identification of subject areas in tourism research.

This note was prepared by Nina Fenton and Magnus Lindelow. The GIS analysis was provided by Andreas Heinimann and Ian Thomas, of the Swiss National Centre of Competence in Research (NCCR) North-South, University of Bern, using census data and information on the mining and hydropower projects kindly provided by Department of Statistics (DOS), the Ministry of Energy and Mines (MEM), Department of Mines (DOM), and Water Resources and Environment Administration (WREA) respectively. Useful inputs were also received from Ekaterina Vostroknutova

Snapshot img

Data Science Platform Market Size 2025-2029

The data science platform market size is valued to increase USD 763.9 million, at a CAGR of 40.2% from 2024 to 2029. Integration of AI and ML technologies with data science platforms will drive the data science platform market.

Major Market Trends & Insights

North America dominated the market and accounted for a 48% growth during the forecast period.
By Deployment - On-premises segment was valued at USD 38.70 million in 2023
By Component - Platform segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 1.00 million
Market Future Opportunities: USD 763.90 million
CAGR : 40.2%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and continually evolving landscape, underpinned by advancements in core technologies and applications. Key technologies, such as machine learning and artificial intelligence, are increasingly integrated into data science platforms to enhance predictive analytics and automate data processing. Additionally, the emergence of containerization and microservices in data science platforms enables greater flexibility and scalability. However, the market also faces challenges, including data privacy and security risks, which necessitate robust compliance with regulations.
According to recent estimates, the market is expected to account for over 30% of the overall big data analytics market by 2025, underscoring its growing importance in the data-driven business landscape.

What will be the Size of the Data Science Platform Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Data Science Platform Market Segmented and what are the key trends of market segmentation?

The data science platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud


Component

  Platform
  Services


End-user

  BFSI
  Retail and e-commerce
  Manufacturing
  Media and entertainment
  Others


Sector

  Large enterprises
  SMEs


Application

  Data Preparation
  Data Visualization
  Machine Learning
  Predictive Analytics
  Data Governance
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving the market, big data processing is a key focus, enabling advanced model accuracy metrics through various data mining methods. Distributed computing and algorithm optimization are integral components, ensuring efficient handling of large datasets. Data governance policies are crucial for managing data security protocols and ensuring data lineage tracking. Software development kits, model versioning, and anomaly detection systems facilitate seamless development, deployment, and monitoring of predictive modeling techniques, including machine learning algorithms, regression analysis, and statistical modeling. Real-time data streaming and parallelized algorithms enable real-time insights, while predictive modeling techniques and machine learning algorithms drive business intelligence and decision-making.

Cloud computing infrastructure, data visualization tools, high-performance computing, and database management systems support scalable data solutions and efficient data warehousing. ETL processes and data integration pipelines ensure data quality assessment and feature engineering techniques. Clustering techniques and natural language processing are essential for advanced data analysis. The market is witnessing significant growth, with adoption increasing by 18.7% in the past year, and industry experts anticipate a further expansion of 21.6% in the upcoming period. Companies across various sectors are recognizing the potential of data science platforms, leading to a surge in demand for scalable, secure, and efficient solutions.

API integration services and deep learning frameworks are gaining traction, offering advanced capabilities and seamless integration with existing systems. Data security protocols and model explainability methods are becoming increasingly important, ensuring transparency and trust in data-driven decision-making. The market is expected to continue unfolding, with ongoing advancements in technology and evolving business needs shaping its future trajectory.

Request Free Sample

The On-premises segment was valued at USD 38.70 million in 2019 and showed

Global Lifesciences Data Mining and Visualization Market is segmented by Application (Research_ Analytics_ Clinical Trials_ Drug Development_ Market Research), Type (Software_ Consulting), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)

Percentage of papers in specific subject areas: Time period and journal.

Snapshot img

Anomaly Detection Market Size 2025-2029

The anomaly detection market size is valued to increase by USD 4.44 billion, at a CAGR of 14.4% from 2024 to 2029. Anomaly detection tools gaining traction in BFSI will drive the anomaly detection market.

Major Market Trends & Insights

North America dominated the market and accounted for a 43% growth during the forecast period.
By Deployment - Cloud segment was valued at USD 1.75 billion in 2023
By Component - Solution segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 173.26 million
Market Future Opportunities: USD 4441.70 million
CAGR from 2024 to 2029 : 14.4%

Market Summary

Anomaly detection, a critical component of advanced analytics, is witnessing significant adoption across various industries, with the financial services sector leading the charge. The increasing incidence of internal threats and cybersecurity frauds necessitates the need for robust anomaly detection solutions. These tools help organizations identify unusual patterns and deviations from normal behavior, enabling proactive response to potential threats and ensuring operational efficiency. For instance, in a supply chain context, anomaly detection can help identify discrepancies in inventory levels or delivery schedules, leading to cost savings and improved customer satisfaction. In the realm of compliance, anomaly detection can assist in maintaining regulatory adherence by flagging unusual transactions or activities, thereby reducing the risk of penalties and reputational damage.
According to recent research, organizations that implement anomaly detection solutions experience a reduction in error rates by up to 25%. This improvement not only enhances operational efficiency but also contributes to increased customer trust and satisfaction. Despite these benefits, challenges persist, including data quality and the need for real-time processing capabilities. As the market continues to evolve, advancements in machine learning and artificial intelligence are expected to address these challenges and drive further growth.

What will be the Size of the Anomaly Detection Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Anomaly Detection Market Segmented ?

The anomaly detection industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud
  On-premises


Component

  Solution
  Services


End-user

  BFSI
  IT and telecom
  Retail and e-commerce
  Manufacturing
  Others


Technology

  Big data analytics
  AI and ML
  Data mining and business intelligence


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Spain
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Deployment Insights

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

The market is witnessing significant growth, driven by the increasing adoption of advanced technologies such as machine learning algorithms, predictive modeling tools, and real-time monitoring systems. Businesses are increasingly relying on anomaly detection solutions to enhance their root cause analysis, improve system health indicators, and reduce false positives. This is particularly true in sectors where data is generated in real-time, such as cybersecurity threat detection, network intrusion detection, and fraud detection systems. Cloud-based anomaly detection solutions are gaining popularity due to their flexibility, scalability, and cost-effectiveness.

This growth is attributed to cloud-based solutions' quick deployment, real-time data visibility, and customization capabilities, which are offered at flexible payment options like monthly subscriptions and pay-as-you-go models. Companies like Anodot, Ltd, Cisco Systems Inc, IBM Corp, and SAS Institute Inc provide both cloud-based and on-premise anomaly detection solutions. Anomaly detection methods include outlier detection, change point detection, and statistical process control. Data preprocessing steps, such as data mining techniques and feature engineering processes, are crucial in ensuring accurate anomaly detection. Data visualization dashboards and alert fatigue mitigation techniques help in managing and interpreting the vast amounts of data generated.

Network traffic analysis, log file analysis, and sensor data integration are essential components of anomaly detection systems. Additionally, risk management frameworks, drift detection algorithms, time series forecasting, and performance degradation detection are vital in maintaining system performance and capacity planning.

Product Market size is rising upward in the past few years And it is estimated that the market will grow significantly in the forecasted period

Volunteered geographic information and citizen science have advanced academic and public understanding of geographical and ecological processes. Videos hosted online represent a large data source that could potentially provide meaningful results for studies in physical geography—a concept we term volunteered geographic videos (VGV). Technological advances in image-capturing devices, computing, and image processing have resulted in increasingly sophisticated methods that treat imagery as raw data, such as resolving high-resolution topography with structure from motion or the calculation of surface flow velocity in rivers with particle image velocimetry. The ubiquitous nature of recording devices and citizens who share imagery online have resulted in a vast archive of potentially useful online videos. This article analyzes the potential for using YouTube videos for research in physical geography. We discuss the combination of suitability and availability that has made this possible and emphasize the distinction between moderately suitable imagery that can directly answer research questions and lower suitability imagery that can indirectly support a study. We present example case studies that address (1) initial considerations of using VGV, (2) topographic data extraction from a video taken after a landslide, and (3) data extraction from a video of a flash flood that could support a study of extreme floods and wood transport. Finally, we discuss both the benefits and complicating factors associated with VGV. The results indicate that VGV could be used to support certain studies in physical geography and that this large repository of raw data has been underutilized.

Gender distribution of authors in tourism scholarship.

Product Market size is rising upward in the past few years And it is estimated that the market will grow significantly in the forecasted period

The Data Historian Market Report is Segmented by Component (Software, Services), by Deployment Mode (On-Premise, Cloud), by End-User (Oil and Gas, Power and Utilities, Paper and Pulp, Chemicals and Petrochemicals, Metals and Mining, and More), by Data Frequency (Real-Time, Near-Real-Time, and Batch/Periodic), and by Geography. The Market Sizes and Forecasts are Provided in Terms of Value (USD).

Snapshot img

Prescriptive Analytics Market Size 2025-2029

The prescriptive analytics market size is valued to increase by USD 10.96 billion, at a CAGR of 23.3% from 2024 to 2029. Rising demand for predictive analytics will drive the prescriptive analytics market.

Major Market Trends & Insights

North America dominated the market and accounted for a 39% growth during the forecast period.
By Solution - Services segment was valued at USD 3 billion in 2023
By Deployment - Cloud-based segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 359.55 million
Market Future Opportunities: USD 10962.00 million
CAGR from 2024 to 2029 : 23.3%

Market Summary

Prescriptive analytics, an advanced form of business intelligence, is gaining significant traction in today's data-driven business landscape. This analytical approach goes beyond traditional business intelligence and predictive analytics by providing actionable recommendations to optimize business processes and enhance operational efficiency. The market's growth is fueled by the increasing availability of real-time data, the rise of machine learning algorithms, and the growing demand for data-driven decision-making. One area where prescriptive analytics is making a significant impact is in supply chain optimization. For instance, a manufacturing company can use prescriptive analytics to analyze historical data and real-time market trends to optimize production schedules, minimize inventory costs, and improve delivery times.
In a recent study, a leading manufacturing firm implemented prescriptive analytics and achieved a 15% reduction in inventory holding costs and a 12% improvement in on-time delivery rates. However, the adoption of prescriptive analytics is not without challenges. Data privacy and regulatory compliance are major concerns, particularly in industries such as healthcare and finance. Companies must ensure that they have robust data security measures in place to protect sensitive customer information and comply with regulations such as HIPAA and GDPR. Despite these challenges, the benefits of prescriptive analytics far outweigh the costs, making it an essential tool for businesses looking to gain a competitive edge in their respective markets.

What will be the Size of the Prescriptive Analytics Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Prescriptive Analytics Market Segmented ?

The prescriptive analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Solution

  Services
  Product


Deployment

  Cloud-based
  On-premises


Sector

  Large enterprises
  Small and medium-sized enterprises (SMEs)


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Solution Insights

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

In 2024, The market continues to evolve, becoming a pivotal force in data-driven decision-making across industries. With a projected growth of 15.2% annually, this market is transforming business landscapes by delivering actionable recommendations that align with strategic objectives. From enhancing customer satisfaction to optimizing operational efficiency and reducing costs, prescriptive analytics services are increasingly indispensable. Advanced optimization engines and AI-driven models now handle intricate decision variables, constraints, and trade-offs in real time. This real-time capability supports complex decision-making scenarios across strategic, tactical, and operational levels. Industries like healthcare, retail, manufacturing, and logistics are harnessing prescriptive analytics in unique ways.

Monte Carlo simulation, scenario planning, and neural networks are just a few techniques used to optimize supply chain operations. Data visualization dashboards, what-if analysis, and natural language processing facilitate better understanding of complex data. Reinforcement learning, time series forecasting, and inventory management are essential components of prescriptive modeling, enabling AI-driven recommendations. Decision support systems, dynamic programming, causal inference, and multi-objective optimization are integral to the decision-making process. Machine learning models, statistical modeling, and optimization algorithms power these advanced systems. Real-time analytics, risk assessment modeling, and linear programming are crucial for managing uncertainty and mitigating risks. Data mining techniques and expert systems provide valuable insights, while c

The twin transition, which combines green and digital innovation in economic activities, is increasingly central to policy agendas and is also receiving growing attention in regional research. However, accurately mapping green, digital and twin (both green and digital) economic activities across regions remains challenging, particularly due to data constraints. In this study, we advance this research frontier and present a geographic analysis of digital, green and twin economic activities in Germany, using a web-mined dataset of website texts from 678,381 firms, collected through web scraping in 2023. By processing over 44 million text paragraphs from these websites and applying a cosine similarity filter with green and AI-related terms, we filtered firms that are likely engaged in green, digital and twin activities. Based on this subset, 1437 text paragraphs were manually annotated to fine-tune two transformer models within a SetFit framework, accurately classifying firms as green, digital or both. We aggregate this firm-level data into hexagonal cells to reveal the geographic concentration of the twin transition in Germany. The final map shows a higher number of firms involved in green activities, widely spread across Germany, while AI activities are concentrated in urban centres. We identify 23,819 firms engaged in both green and digital activities, with major hubs like Berlin and Munich leading, and peripheral regions potentially being left behind. Our findings offer critical insights into the geography of the twin transition and highlight the need for policies that address potentially induced spatial inequalities.

Product Market size is rising upward in the past few years And it is estimated that the market will grow significantly in the forecasted period

The Mobile Mapping System Market Report is Segmented by Component (Hardware, Software, and Services), Mounting Type (Vehicle Mounted, Railway Mounted, and More), Application (Imaging Services, Aerial Mobile Mapping, and More), End-User Verticals (Government, Oil and Gas, Mining, Military, and More), and Geography (North America, Europe, South America, and More). The Market Forecasts are Provided in Terms of Value (USD).

The global bulk mining explosives market is experiencing robust growth, driven by the increasing demand for mining activities to meet the global need for raw materials. The market size in 2025 is estimated at $5 billion, with a Compound Annual Growth Rate (CAGR) of approximately 6% projected from 2025 to 2033. This growth is fueled by several key factors, including the expanding global infrastructure development projects, rising urbanization, and a surge in the production of construction materials like cement and steel. The increasing adoption of technologically advanced explosives for enhanced safety and efficiency further contributes to market expansion. Major players like Dyno Nobel, Orica, and others are investing heavily in research and development to produce eco-friendly and high-performance explosives, meeting the growing demand while minimizing environmental impact. However, stringent government regulations on the use and transportation of explosives, along with potential safety risks associated with handling them, pose challenges to market growth. The market is segmented by product type (emulsion explosives, ANFO, and others), application (metal mining, coal mining, and others), and geography. The Asia-Pacific region is projected to dominate the market due to high mining activity and rapid infrastructure development in the region. The competitive landscape is characterized by both large multinational corporations and regional players. Key companies are focusing on strategic collaborations, mergers, and acquisitions to expand their market share and product offerings. The increasing emphasis on sustainable mining practices and environmental regulations is driving the demand for less-polluting and safer explosives. This trend pushes manufacturers to innovate and develop new solutions, ensuring both efficiency and sustainability. Future market growth will depend heavily on factors such as global economic growth, infrastructure investments, and regulatory changes concerning mining operations. The forecast period of 2025-2033 presents significant opportunities for market players who successfully adapt to the evolving needs of the industry and invest in research and development to bring innovative and environmentally conscious products to market.