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Global Enterprise Search Market to reach USD 8.33 billion by the end of 2030

Global Enterprise Search Market Size Study & Forecast, by Type (Local Search, Hosted Search, Search Appliance) by Enterprise Size (Small, Medium, Large), by End-use (Government & Commercial, Banking & Financial, Healthcare, Retail, Manufacturing, Others) and Regional Analysis, 2023-2030

Product Code: ICTICTS-58055439
Publish Date: 20-05-2023
Page: 200

Global Enterprise Search Market is valued at approximately USD 4.21 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 8.9% over the forecast period 2023-2030. Enterprise search is the process of making content from various enterprise-type sources, such as databases and intranets, searchable for a specific audience. It is used to refer to the software used to conduct information searches within an organization. Also, enterprise search solutions allow users to safely enter and discover data in various data sources that involve documents, websites, databases, applications, and intranets. The surging demand for faster decision-making and data simplicity, growing data volumes, coupled with the growing trend of digitization in the industrial sector are the key factors that are propelling the market demand across the globe.

The growing trend of hashing technology is anticipated to have a positive impact on the market due to the performance rise in search output. Hashing technology enabling organizations to improve search performance, scalability, and security, and providing users with a more efficient and effective way to search for and retrieve relevant information. The technology further sorts data based on its hash values for convenient search operations. For instance, in September 2022, Algolia- the proprietary search engine finalized the acquisition of the hashing technology startup Search.io. The company managed to give its customers quicker and more effective search results as a result of the acquisition. Thus, these aforementioned factors are propelling the growth of Enterprise Search Market during the estimated period. Moreover, the emergence of AI and ML technologies for quicker search outcomes and real-time accessibility, as well as growing investment in technological advancements is presenting various lucrative opportunities over the forecasting years. However, the concerns with managing complex infrastructure and the lack of standardization in data structures are challenging the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Enterprise Search Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing technological advancements, high demand for solutions offering time-saving data search capabilities, and the growing need to effectively supervise large volumes of data in an organization. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecasting years. The surge in the number of small and large-scale software companies, as well as the growing need to make search more relevant among enterprises are significantly propelling the market demand across the region.

Major market players included in this report are:
Thunderstone Software
Coveo Solutions Inc.
Dassault Systemes Inc.
Dieselpoint Inc.
EMC Corporation
Expert System Inc.
Alphabet Inc
HP Autonomy
IBM Corporation
SAP AG

Recent Developments in the Market:
Ø In September 2022, Algolia announced the acquisition of Search.io- a market leader in the Neuralsearch vector search engine, which uses hashing technology on top of vectors to deliver unheard-of price performance at scale. With this acquisition, the company able to give corporate users an improved way of controlling the automation of distinctive and interesting end-user experiences.
Ø In June 2022, OpenText announced an update to its OpenText Extended ECM for the government. Significant modifications have been made to version CE 22.2 to address specific government-related use cases and enhance usability for use cases in the complex public sector.

Global Enterprise Search Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Enterprise Size, End-use, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment 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 Type:
Local Search
Hosted Search
Search Appliance

By Enterprise Size:
Small
Medium
Large

By End-use:
Government & Commercial
Banking & Financial
Healthcare
Retail
Manufacturing
Others

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
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Enterprise Search Market, by Region, 2020-2030 (USD Billion)
1.2.2. Enterprise Search Market, by Type, 2020-2030 (USD Billion)
1.2.3. Enterprise Search Market, by Enterprise Size, 2020-2030 (USD Billion)
1.2.4. Enterprise Search Market, by End-use, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Enterprise Search Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Enterprise Search Market Dynamics
3.1. Enterprise Search Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Rising trend of digitization in the industrial sector
3.1.1.2. Growing trend of hashing technology
3.1.2. Market Challenges
3.1.2.1. Concerns with managing complex infrastructure
3.1.2.2. Lack of standardization in data structures
3.1.3. Market Opportunities
3.1.3.1. Emergence of AI and ML technologies
3.1.3.2. Growing investment in technological advancements
Chapter 4. Global Enterprise Search Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Enterprise Search Market, by Type
5.1. Market Snapshot
5.2. Global Enterprise Search Market by Type, Performance – Potential Analysis
5.3. Global Enterprise Search Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Enterprise Search Market, Sub Segment Analysis
5.4.1. Local Search
5.4.2. Hosted Search
5.4.3. Search Appliance
Chapter 6. Global Enterprise Search Market, by Enterprise Size
6.1. Market Snapshot
6.2. Global Enterprise Search Market by Enterprise Size, Performance – Potential Analysis
6.3. Global Enterprise Search Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
6.4. Enterprise Search Market, Sub Segment Analysis
6.4.1. Small
6.4.2. Medium
6.4.3. Large
Chapter 7. Global Enterprise Search Market, by End-use
7.1. Market Snapshot
7.2. Global Enterprise Search Market by End-use, Performance – Potential Analysis
7.3. Global Enterprise Search Market Estimates & Forecasts by End-use 2020-2030 (USD Billion)
7.4. Enterprise Search Market, Sub Segment Analysis
7.4.1. Government & Commercial
7.4.2. Banking & Financial
7.4.3. Healthcare
7.4.4. Retail
7.4.5. Manufacturing
7.4.6. Others
Chapter 8. Global Enterprise Search Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Enterprise Search Market, Regional Market Snapshot
8.4. North America Enterprise Search Market
8.4.1. U.S. Enterprise Search Market
8.4.1.1. Type breakdown estimates & forecasts, 2020-2030
8.4.1.2. Enterprise Size breakdown estimates & forecasts, 2020-2030
8.4.1.3. End-use breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Enterprise Search Market
8.5. Europe Enterprise Search Market Snapshot
8.5.1. U.K. Enterprise Search Market
8.5.2. Germany Enterprise Search Market
8.5.3. France Enterprise Search Market
8.5.4. Spain Enterprise Search Market
8.5.5. Italy Enterprise Search Market
8.5.6. Rest of Europe Enterprise Search Market
8.6. Asia-Pacific Enterprise Search Market Snapshot
8.6.1. China Enterprise Search Market
8.6.2. India Enterprise Search Market
8.6.3. Japan Enterprise Search Market
8.6.4. Australia Enterprise Search Market
8.6.5. South Korea Enterprise Search Market
8.6.6. Rest of Asia Pacific Enterprise Search Market
8.7. Latin America Enterprise Search Market Snapshot
8.7.1. Brazil Enterprise Search Market
8.7.2. Mexico Enterprise Search Market
8.8. Middle East & Africa Enterprise Search Market
8.8.1. Saudi Arabia Enterprise Search Market
8.8.2. South Africa Enterprise Search Market
8.8.3. Rest of Middle East & Africa Enterprise Search Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Thunderstone Software
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. Coveo Solutions Inc.
9.3.3. Dassault Systemes Inc.
9.3.4. Dieselpoint Inc.
9.3.5. EMC Corporation
9.3.6. Expert System Inc.
9.3.7. Alphabet Inc
9.3.8. HP Autonomy
9.3.9. IBM Corporation
9.3.10. SAP AG
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

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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