Segments - Next Generation Search Engines Market by End-user Verticals (Personal, and Commercial), Distribution Channels (Online, and Offline), and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2023 - 2031
The global next generation search engines market size was valued at USD 12 Billion in 2022 and is projected to reach USD 35.48 Billion by 2031, expanding at a CAGR of 12.8% during the forecast period 2023 - 2031. The growth of the market is attributed to AI developments such as deep learning models, machine learning, and other AI technologies.
Search engines, in essence, serve as filters for the vast amount of information available on the internet. They enable visitors to swiftly and easily access material that is of true interest or worth, without having to sift through a plethora of useless web pages.
Recent advances in computer science, Web technologies, and the ever-changing information available on the Internet have significantly altered the landscape of information search and access. Next generation search engines, often known as advanced search engines, integrate new technology such as voice and picture searches. They depend on machine learning (ML), semantic analysis, and artificial intelligence (AI) capabilities to speed up and simplify information retrieval.
Millennials population become more digital-savvy, there is a rising need for search engines and corporate behemoths to protect their customers privacy. User behavior centered on online information seeking and discovery has never been more complicated. Instant gratification has become the norm in today's culture, thanks to the wealth of information. For the first time, according to a Sparktoro survey, more over half of Google searches finish without a click on an organic or sponsored search result.
BBSEs (Blockchain Technology-based Search Engines) are one approach. BBSEs, unlike Google, do not have centralized control. Instead, they're dispersed among a lot of networks. Your search history or other data kept on a blockchain-based search engine will be inaccessible to any corporation.
All of this data will be stored on blockchains. In other words, rather than Google or Microsoft, you will have complete control over your data. Some blockchain-based search engines go even further than providing users with a private key to protect their personal information.
Blockchain-based search engines are growing increasingly popular as more people grasp the benefits of a decentralized blockchain.
Because of the increasing popularity of devices equipped with voice assistants such as Amazon's Alexa, the number of voice searches has increased exponentially. Because of developments in speech recognition technology, these searches are quicker and more convenient than text searches.
More individuals are now adopting digital assistants developed by major technology companies, such as Apple's Siri, Google Now, Microsoft's Cortana, and Amazon's Alexa. The advancement of these systems, as well as recent advances in their capacity to read natural language queries, have made voice search easier and more accurate.
Artificial intelligence (AI) and, in particular, Natural Language Processing (NLP), can assist us in validating both the quality of website content and the capacity of search engines to digest it. Pragnakalp Techlabs recently shown the ability of a machine to answer queries in different languages, including Arabic, based on the type of material.
The report on the global next generation search engines market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.
Attributes |
Details |
Report Title |
Next Generation Search Engines Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast |
Base Year |
2022 |
Historic Data |
2016 – 2021 |
Forecast Period |
2023 – 2032 |
Segmentation |
End-user Verticals (Personal, and Commercial), Distribution Channels (Online, and Offline) |
Regional Scope |
Asia Pacific, North America, Latin America, Europe, and Middle East & Africa |
Report Coverage |
Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast |
Key Players Covered in the Report |
Alibaba Group; Baidu Inc.; Apple Inc.; Google LLC (Alphabet Inc.); Amazon.com Inc |
Based on end-user verticals, the global next generation search engines market share is segregated into personal, and commercial. The personal segment is expected to account for a key share of the market during the forecast period owing to rising use of AI-powered voice assistants are becoming more popular. Siri, Alexa, and Google Assistant are examples of technologies that are found in almost every home.
on the basis of distribution channels, the global next generation search engines market is divided into online, and offline. The online segment is expected to represent a key share of the market in the coming years due to rising e-commerce website and online shopper population.
On the basis of regions, the global next generation search engines market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. The market of Asia Pacific is anticipated to expand at an impressive CAGR during the forecast period. The regional market growth can be attributed to China and India growing voice assistance product demand.
The global next generation search engines market has been segmented on the basis of
Key players competing in the next generation search engines market include Alibaba Group; Baidu Inc.; Apple Inc.; Google LLC (Alphabet Inc.); Amazon.com Inc
Some of these players are focusing on business strategies including partnerships, collaborations, capacity expansion, and product launches to increase their market shares. For instance
In June 2020, Google has announced the expansion of its artificial intelligence-based voice assistant, Google Assistant, to a number of new gadgets. Speech match is the most essential of these characteristics, since it allows smart speakers to identify a specific user's voice and tailor answers appropriately.