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.

Enterprise Search Engine Market Outlook

The global enterprise search engine market size was valued at USD 4.5 billion in 2023, and it is expected to reach USD 12.4 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.1% during the forecast period. The rapid growth of this market can be attributed to various factors, including the increasing need for data management and the rising importance of enhancing the efficiency and productivity of organizations through efficient data retrieval systems.

One of the primary growth factors driving the enterprise search engine market is the exponential growth of data across various sectors. With organizations generating vast amounts of data daily, the need for effective data management and retrieval systems has become paramount. Enterprise search engines enable organizations to locate and retrieve information quickly and accurately, which is crucial for informed decision-making and maintaining competitive advantage. Furthermore, these systems can integrate with other enterprise applications, providing a seamless user experience.

Another significant growth driver is the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies in enterprise search engines. AI and ML algorithms enhance the search capabilities of these systems by providing more accurate and relevant search results. They also offer predictive search functionalities, which can drastically reduce the time spent on searching for information. The advancements in natural language processing (NLP) are also enhancing the ability of search engines to understand and process human language, further boosting their efficiency.

The growing trend of cloud-based deployment is also playing a crucial role in the expansion of the enterprise search engine market. Cloud-based solutions offer several benefits, such as scalability, reduced operational costs, and ease of integration with other cloud services. This has led to an increasing preference for cloud-based enterprise search engines, especially among small and medium-sized enterprises (SMEs) that may lack the resources to invest in on-premises infrastructure. The increasing adoption of cloud services across various industries is thus providing a significant boost to the market.

Regionally, North America is anticipated to hold the largest market share throughout the forecast period. This is due to the presence of a large number of established players and the early adoption of advanced technologies in the region. The Asia Pacific region is expected to witness the highest growth rate, driven by the rapid digital transformation and increasing investments in IT infrastructure in countries like China and India. Europe is also expected to show significant growth due to stringent data governance regulations and the increasing need for data management solutions across various sectors.

Component Analysis

The enterprise search engine market is segmented into two primary components: software and services. The software segment encompasses the actual search engine platforms and technologies that organizations deploy to manage and retrieve data. Within this segment, advancements in AI and machine learning are significantly enhancing the capabilities of search engines. Modern enterprise search software incorporates AI algorithms to provide more accurate, relevant, and context-aware search results. These advancements are crucial for organizations that deal with vast and complex datasets, enabling them to streamline their operations and make data-driven decisions more effectively.

The services segment includes various professional services such as consulting, system integration, and support and maintenance. These services are essential for the successful deployment and operation of enterprise search engines. Consulting services help organizations identify their specific search requirements and design customized solutions. System integration services ensure that the search engine seamlessly integrates with the existing IT infrastructure and enterprise applications. Support and maintenance services are crucial for the ongoing performance and reliability of the search engine, ensuring that it continues to meet the organization's needs over time.

The software segment currently holds the largest market share, driven by the increasing demand for advanced search capabilities and the continuous development of new software solutions. The integration of AI and machine learning technologies into enterprise search software is a key trend, enhancing the ability to

The research focus in the field of remotely sensed imagery has shifted from collection and warehousing of data ' tasks for which a mature technology already exists, to auto-extraction of information and knowledge discovery from this valuable resource ' tasks for which technology is still under active development. In particular, intelligent algorithms for analysis of very large rasters, either high resolutions images or medium resolution global datasets, that are becoming more and more prevalent, are lacking. We propose to develop the Geospatial Pattern Analysis Toolbox (GeoPAT) a computationally efficient, scalable, and robust suite of algorithms that supports GIS processes such as segmentation, unsupervised/supervised classification of segments, query and retrieval, and change detection in giga-pixel and larger rasters. At the core of the technology that underpins GeoPAT is the novel concept of pattern-based image analysis. Unlike pixel-based or object-based (OBIA) image analysis, GeoPAT partitions an image into overlapping square scenes containing 1,000'100,000 pixels and performs further processing on those scenes using pattern signature and pattern similarity ' concepts first developed in the field of Content-Based Image Retrieval. This fusion of methods from two different areas of research results in orders of magnitude performance boost in application to very large images without sacrificing quality of the output.

GeoPAT v.1.0 already exists as the GRASS GIS add-on that has been developed and tested on medium resolution continental-scale datasets including the National Land Cover Dataset and the National Elevation Dataset. Proposed project will develop GeoPAT v.2.0 ' much improved and extended version of the present software. We estimate an overall entry TRL for GeoPAT v.1.0 to be 3-4 and the planned exit TRL for GeoPAT v.2.0 to be 5-6. Moreover, several new important functionalities will be added. Proposed improvements includes conversion of GeoPAT from being the GRASS add-on to stand-alone software capable of being integrated with other systems, full implementation of web-based interface, writing new modules to extent it applicability to high resolution images/rasters and medium resolution climate data, extension to spatio-temporal domain, enabling hierarchical search and segmentation, development of improved pattern signature and their similarity measures, parallelization of the code, implementation of divide and conquer strategy to speed up selected modules.

The proposed technology will contribute to a wide range of Earth Science investigations and missions through enabling extraction of information from diverse types of very large datasets. Analyzing the entire dataset without the need of sub-dividing it due to software limitations offers important advantage of uniformity and consistency. We propose to demonstrate the utilization of GeoPAT technology on two specific applications. The first application is a web-based, real time, visual search engine for local physiography utilizing query-by-example on the entire, global-extent SRTM 90 m resolution dataset. User selects region where process of interest is known to occur and the search engine identifies other areas around the world with similar physiographic character and thus potential for similar process. The second application is monitoring urban areas in their entirety at the high resolution including mapping of impervious surface and identifying settlements for improved disaggregation of census data.

According to a January 2021 survey of adults worldwide, 66 percent of total respondents agreed on feeling that tech companies hold too much control over their personal data, while only six percent expressed disagreement with the statement. Consumers based in Spain, the United Kingdom, and the United States reported higher levels of concern over data control, with more than seven in ten people feeling that tech companies have too much control over their personal information. While surveyed consumers in Sweden, China, and Indonesia appeared to agree the least with the statement, still more than five in ten reported feeling that tech companies have too much control over their data.

Questionable ethics and security breaches put tech companies under scrutiny

Tech giants, and big tech in particular have been under focus in recent years when it comes to data privacy and consumer-related ethics. While Google has been recipient of not one, but a number of antitrust fines from the EU dating back to 2017, tech giant Yahoo fell victim to various data breaches that resulted in the exposure of 3 billion consumer records in total to date.

User skepticism is growing

No wonder public trust has faltered. The rise of ad-blockers, VPNs and privacy search engines show that consumers are more eager than ever to protect their data online. In the United States, alternative search engine DuckDuckGo saw a surge in popularity from April 2020 - around the start of the COVID-19 pandemic. Meanwhile, over half of those surveyed in the UK said that the public exposure of recent data breaches had impacted their willingness to share personal information. The global pandemic has also hit the tech industry, with companies in the tourism sector taking the biggest blow. Booking.com laid off the highest number of employees during 2020, a total of 4375 members of staff.

In the most recently reported fiscal year, Google's revenue amounted to 348.16 billion U.S. dollars. Google's revenue is largely made up by advertising revenue, which amounted to 264.59 billion U.S. dollars in 2024. As of October 2024, parent company Alphabet ranked first among worldwide internet companies, with a market capitalization of 2,02 billion U.S. dollars. Google’s revenue Founded in 1998, Google is a multinational internet service corporation headquartered in California, United States. Initially conceptualized as a web search engine based on a PageRank algorithm, Google now offers a multitude of desktop, mobile and online products. Google Search remains the company’s core web-based product along with advertising services, communication and publishing tools, development and statistical tools as well as map-related products. Google is also the producer of the mobile operating system Android, Chrome OS, Google TV as well as desktop and mobile applications such as the internet browser Google Chrome or mobile web applications based on pre-existing Google products. Recently, Google has also been developing selected pieces of hardware which ranges from the Nexus series of mobile devices to smart home devices and driverless cars. Due to its immense scale, Google also offers a crisis response service covering disasters, turmoil and emergencies, as well as an open source missing person finder in times of disaster. Despite the vast scope of Google products, the company still collects the majority of its revenue through online advertising on Google Site and Google network websites. Other revenues are generated via product licensing and most recently, digital content and mobile apps via the Google Play Store, a distribution platform for digital content. As of September 2020, some of the highest-grossing Android apps worldwide included mobile games such as Candy Crush Saga, Pokemon Go, and Coin Master.

As of February 2025, English was the most popular language for web content, with over 49.4 percent of websites using it. Spanish ranked second, with six percent of web content, while the content in the German language followed, with 5.6 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.