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Global Next Generation Search Engines Market is valued at approximately USD 29.44 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 16.28% over the forecast period 2023-2030. Next Generation Search Engines, or NGSEs refers to the development of search engine technology with the goal of offering more sophisticated and customized search experiences. These engines use cutting-edge methods such as artificial intelligence (AI), machine learning, natural language processing (NLP), and other cutting-edge technology to enhance the way users search for and access information.
Advanced search engines, often equipped with embedded AI capabilities, include features like voice-based and image-based searches, representing the evolution of search technology. The global market growth is being driven by the factors such as the growing focus on enhancing customer experience, increase in digital media, advancements in search engine technologies, coupled with a surge in penetration of smartphones and rapid internet proliferation.
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In addition, the surge in volume of data is further fuels contributes to the market demand across the globe. Traditional search engines face difficulties managing the immense volume of data produced as they rely on keyword matching and ranking algorithms. The data is diverse, spanning text, images, videos, audio, and sensor data, posing challenges for these traditional engines in terms of indexing, comprehension, and retrieval of pertinent information. Next-generation search engines are specifically engineered to tackle these issues. They leverage advanced technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to differentiate the meaning and context of data.
As a result, this sophisticated approach enables NGSEs to provide more relevant and accurate search results, even for complex queries or queries expressed in natural language. According to Statista, the global volume of data, encompassing creation, capture, replication, and consumption, is anticipated to experience swift growth across the world. In 2021, it was global data volume was estimated to account for 79 zettabytes, which is projected to reach 181 zettabytes by 2025. Thus, these aforementioned factors are propelling the growth of Next Generation Search Engines Market during the estimated period.
Moreover, the rising inclination towards voice-activated devices and virtual assistants, as well as increasing advancements in Artificial Intelligence (AI) and Machine Learning (ML) present various lucrative opportunities over the forecast years. However, the several concerns associated with cyber-attacks and data theft, along with stringent government regulations for data privacy are challenging the market growth throughout the forecast period of 2023-2030.
On the basis of platform market is categorized into mobile and desktop. The dominance of the mobile category in the next generation search engines market is driven by a confluence of factors that align with the evolving digital landscape. The ubiquity of smartphones and tablets has fundamentally altered user behaviors, with a growing majority relying on these handheld devices for quick and seamless access to information. As users increasingly shift towards mobile platforms, search engine providers are prioritizing mobile optimization and responsive design to enhance user experiences.
On the basis of End user vertical market is divided into personal and commercial, the ascendancy of the personal category in the next generation search engines market is indicative of a transformative shift in the way individuals engage with and seek information on the digital landscape. The personal vertical is poised to lead the market due to the increasing demand for highly personalized and contextually relevant search experiences. This surge is driven by advancements in artificial intelligence and machine learning algorithms that enable search engines to understand and cater to the unique preferences and behaviors of individual users.
Key regions considered for Global Next Generation Search Engines Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 with around USD 10.2 billion market shares owing to the increasing number of internet users, surge in penetration of smartphones, coupled with the growth of e-commerce across the world in countries like China and India. Whereas, Asia Pacific is also expected to grow at the highest CAGR of 17.38% over the forecast years. The rapid growth of digital media sector, rising advancements in search engine technologies, as well as emerging latest marketing trend is companies implementing voice SEO are significantly propelling the market demand across the region.
Major market players included in this report are:
Amazon Web Services, Inc
Alibaba Cloud
Baidu Inc
Apple Inc.
Google LLC (Alphabet Inc.)
International Business Machines Corporation
Xiaomi Corporation
Microsoft Corporation
DuckDuckGo
Meta Platforms, Inc.
Recent Developments in the Market:
Global Next Generation Search Engines Market Report Scope:
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Platform Type:
Desktop
Mobile
By Distribution Channel:
Online
Pre-Installed
By End User Vertical:
Personal
Commercial
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa
Chapter 1. Executive Summary
Chapter 2. Global Next Generation Search Engines Market Definition and Scope
Chapter 3. Global Next Generation Search Engines Market Dynamics
Chapter 4. Global Next Generation Search Engines Market Industry Analysis
Chapter 5. Global Next Generation Search Engines Market, by Platform Type
Chapter 6. Global Next Generation Search Engines Market, by Distribution Channel
Chapter 7. Global Next Generation Search Engines Market, by End User Vertical
Chapter 8. Global Next Generation Search Engines Market, Regional Analysis
Chapter 9. Competitive Intelligence
Chapter 10. Research Process
At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts.
This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships.
By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.
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