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Global Behavior Analytics Market to reach USD 7406.83 million by the end of 2030.

Global Behavior Analytics Market Size Study & Forecast, by Deployment (Cloud, On-premises), By Application (Advertising Campaign, Digital Marketing, Content Delivery, Brand Promotion, Threat Detection, Others), By Industry (Retail, BFSI, Healthcare, Government, Media & Entertainment, Education, Food & Beverages, Others), and Regional Analysis, 2023-2030

Product Code: ICTICTI-29946953
Publish Date: 30-10-2023
Page: 200

Global Behavior Analytics Market is valued at approximately USD 586.5 million in 2022 and is anticipated to grow with a healthy growth rate of more than 37.3 % over the forecast period 2023-2030. Behavioral analytics is the process of gathering and studying data from user interactions with a digital product, such as a website or app. This information is utilized to comprehend user behavior, interests and problems. It involves the use of advanced data mining, machine learning, and statistical techniques to analyze and interpret behavioral data in various contexts, such as business, cybersecurity, healthcare, and more. This information is majorly used to improve the user experience and boost customer satisfaction. The rising incidences of inside frauds and threats, increasing adoption of digital technologies, rise of big data analytics, and growing focus on security and risk management are the key factors that are bolstering the global market growth.

In addition, the rise in the adoption of e-commerce platforms and online shopping is further exhibiting a positive influence on the market demand across the globe. Behavioral analytics is a powerful tool that is used to improve e-commerce businesses by collecting and analyzing data about user behavior.. According to Statista, in 2015 global retail e-commerce sales were USD 1,548 billion and the number is anticipated to reach USD 8,148 billion by 2026. Accordingly, artificial intelligence-based analytics are gaining high traction across industry applications for decision-making skills. The technology has revolutionized the ways of analyzing and understanding customer behavior by improving predictive analysis capabilities and capture maximum data. For instance, BrainChip Holdings Ltd., a manufacturer of neuromorphic AI IP and chips, announced a partnership with nViso SA in order to improve the Social Robots and In-Cabin Monitoring Systems by collecting human behavior. The utilization of gestures, head positions, facial expressions, and other behaviors is examined using chips powered by artificial intelligence (AI) technology to enhance user and product experiences. Thus, these aforementioned factors are propelling the growth of the behavior analytics market during the estimated period. Moreover, the increasing integration of advanced analytics and machine learning algorithms into behavior analytics, as well as the growing demand for driver safety measures present various lucrative opportunities over the forecast years. However, the stringent data protection laws and the lack of awareness regarding the availability of the behavior analytics are challenging the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Behavior Analytics Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the growing investment in solutions such as 5G and IoT technologies, the presence of customers on numerous digital platforms and the fast-expanding digitization across industries. According to The Digital 2023 USA study, social media platforms are used by 72.5% Americans. The demand in the region is therefore fueled by the exponential rise of digital solutions. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years. The rising adoption of IoT and smart technologies use of mobile and web applications, high demand for solutions to understand the changing industry trends, and many corporations are investing in these nations due to the large client base are significantly propelling the market demand across the region.

Major market players included in this report are:
Oracle Corporation (U.S.)
Adobe Inc. (U.S.)
IBM Corporation (U.S.)
Splunk Inc. (U.S.)
Heap Inc. (U.S.)
LogSentinel B.V. (Netherlands)
Altamira.ai (U.S.)
Hotjar Ltd. (Malta)
TIBCO Software Inc. (U.S.)
Niara Inc. (HP Inc.) (U.S.)

Recent Developments in the Market:
Ø In March 2022, Ribbit- a financial data and technology company announced its plan to offer analytics on bank behavior and announced the acquisition of series-A funding. The company provides client assistance, affordability, and lower risk in an effort to improve financial services.
Ø In April 2023, UserTesting unveiled its Human Insight Platform- an advanced behavior analytics technology with machine learning capabilities. Its friction detection assists various organizations in live or prototype testing and reduces poor user experience.
Ø In September 2022, TransUnion introduced TruValidate Device Risk with Behavioural Analytics to remove fraud and security risk based on user behavior. The company has merged a NeuroID behaviour analytics solution with its device intelligence to aid companies in identifying and avoiding fraud.

Global Behavior Analytics 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 – Deployment, Application, Industry, 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 Deployment:

By Application:
Advertising Campaign
Digital Marketing
Content Delivery
Brand Promotion
Threat Detection

By Industry:
Media & Entertainment
Food & Beverages

By Region:

North America


Asia Pacific
South Korea

Latin America

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 Million)
1.2.1. Behavior Analytics Market, by region, 2020-2030 (USD Million)
1.2.2. Behavior Analytics Market, by Deployment, 2020-2030 (USD Million)
1.2.3. Behavior Analytics Market, by Application, 2020-2030 (USD Million)
1.2.4. Behavior Analytics Market, by Industry, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Behavior Analytics 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 Behavior Analytics Market Dynamics
3.1. Behavior Analytics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing incidences of inside frauds and threats Rising adoption of e-commerce platforms and online shopping
3.1.2. Market Challenges Stringent data protection laws Lack of awareness
3.1.3. Market Opportunities Increasing integration of advanced analytics and machine learning algorithms into behaviour analytics Growing demand for driver safety measures
Chapter 4. Global Behavior Analytics 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. Economic
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 Behavior Analytics Market, by Deployment
5.1. Market Snapshot
5.2. Global Behavior Analytics Market by Deployment, Performance – Potential Analysis
5.3. Global Behavior Analytics Market Estimates & Forecasts by Deployment 2020-2030 (USD Million)
5.4. Behavior Analytics Market, Sub Segment Analysis
5.4.1. Cloud
5.4.2. On-premises
Chapter 6. Global Behavior Analytics Market, by Application
6.1. Market Snapshot
6.2. Global Behavior Analytics Market by Application, Performance – Potential Analysis
6.3. Global Behavior Analytics Market Estimates & Forecasts by Application 2020-2030 (USD Million)
6.4. Behavior Analytics Market, Sub Segment Analysis
6.4.1. Advertising Campaign
6.4.2. Digital Marketing
6.4.3. Content Delivery
6.4.4. Brand Promotion
6.4.5. Threat Detection
6.4.6. Others
Chapter 7. Global Behavior Analytics Market, by Industry
7.1. Market Snapshot
7.2. Global Behavior Analytics Market by Industry, Performance – Potential Analysis
7.3. Global Behavior Analytics Market Estimates & Forecasts by Industry 2020-2030 (USD Million)
7.4. Behavior Analytics Market, Sub Segment Analysis
7.4.1. Retail
7.4.2. BFSI
7.4.3. Healthcare
7.4.4. Government
7.4.5. Media & Entertainment
7.4.6. Education
7.4.7. Food & Beverages
7.4.8. Others
Chapter 8. Global Behavior Analytics Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Behavior Analytics Market, Regional Market Snapshot
8.4. North America Behavior Analytics Market
8.4.1. U.S. Behavior Analytics Market Deployment breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030 Industry breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Behavior Analytics Market
8.5. Europe Behavior Analytics Market Snapshot
8.5.1. U.K. Behavior Analytics Market
8.5.2. Germany Behavior Analytics Market
8.5.3. France Behavior Analytics Market
8.5.4. Spain Behavior Analytics Market
8.5.5. Italy Behavior Analytics Market
8.5.6. Rest of Europe Behavior Analytics Market
8.6. Asia-Pacific Behavior Analytics Market Snapshot
8.6.1. China Behavior Analytics Market
8.6.2. India Behavior Analytics Market
8.6.3. Japan Behavior Analytics Market
8.6.4. Australia Behavior Analytics Market
8.6.5. South Korea Behavior Analytics Market
8.6.6. Rest of Asia Pacific Behavior Analytics Market
8.7. Latin America Behavior Analytics Market Snapshot
8.7.1. Brazil Behavior Analytics Market
8.7.2. Mexico Behavior Analytics Market
8.8. Middle East & Africa Behavior Analytics Market
8.8.1. Saudi Arabia Behavior Analytics Market
8.8.2. South Africa Behavior Analytics Market
8.8.3. Rest of Middle East & Africa Behavior Analytics 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. Oracle Corporation (U.S.) Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Adobe Inc. (U.S.)
9.3.3. IBM Corporation (U.S.)
9.3.4. Splunk Inc. (U.S.)
9.3.5. Heap Inc. (U.S.)
9.3.6. LogSentinel B.V. (Netherlands)
9.3.7. Altamira.ai (U.S.)
9.3.8. Hotjar Ltd. (Malta)
9.3.9. TIBCO Software Inc. (U.S.)
9.3.10. Niara Inc. (HP Inc.) (U.S.)
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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