Internet of Behaviors (IoB) Market (By Application: Advertising Campaign, Digital Marketing, Content Delivery, Brand Promotion, Others; By Enterprise Size: Small & Medium Enterprises (SMEs), Large Enterprises; By Industry: BFSI, Telecom and IT, Media and Entertainment, Tourism & Travel, Retail and e-Commerce, Healthcare, Manufacturing, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030
Date: Jun-2022 | Id: MACRC-74695 | Geographical Scope: GLOBAL | Publisher: Mnemonics Research
The global internet of behaviors (IoB) market size was valued at USD 391.5 billion in 2021 and is expected to surpass around USD 2,143.57 billion by 2030, poised to grow at a compound annual growth rate (CAGR) of 20.79% from 2022 to 2030.
The Internet of Behaviours (IoB) seeks to debate how data may be best understood and is used to build and launch new products from the perspective of human psychology. The IoB may be utilized in a variety of ways by both public and commercial enterprises. This innovation will become an enticing big branding and distribution platform for businesses and organizations all around the world. Every firm gets an in awareness of its clientele, which the IoB platform enables. For instance, IoB links all mobile phones in the program, allowing them to observe their faults and receive visual tips on how to improve their swinging and stroke. The linking of devices generates a large number of new pieces of data and spans beyond the Internet of Things (IoT). Businesses acquire information from customers by ‘sharing' data amongst linked devices, which are then monitored in real time by a single computer.
While refers to the interconnection of networked physical things that acquire and exchange data over the internet. IoB interprets this data in conjunction with particular human actions ranging from purchasing habits to demographic preferences. Location tracking, big data, and face recognition devices basically map client behavior. Here's an easy example: Uber. Its Internet of Things app monitors both drivers with passengers. Once the consumer has been left off, Uber polls to assess the ride, allowing the driver's conduct to be monitored and the quality of customer to be interpreted properly. By 2025, 40% of the world population would be subject to at least 1 IoB program (government or corporate) and digitally tracked in order to affect human behavior. IoB may be a great instrument for leveraging sales and marketing to develop effective strategies that make a difference in the products and services given to customers. But that's not all; it's also beneficial to other industries. IoB, for example, is useful in the medical arena, assisting healthcare personnel in assessing individuals' illnesses, responsiveness to medicines, and other lifestyle information.
Growth factors
Over the last decade or so, there has been an astonishing increase in chronic and weakens the immune system illnesses (NCDs). Every year, over 41 million individuals die as a result of NCDs, resulting in exorbitant healthcare cost. IoB-enabled devices have enabled significant advancements in artificial pancreas technology. According to 2015 research, IoB devices resulted in a 50% reduction in 30-day hospital readmissions. IoB aids in the reduction of automobile insurance premiums. Users can install an app on their phones that collects crucial information such as distance traveled, automobile speed, and time of day the user is driving, and so on. As a result, determine the right premium that the user is entitled to pay. According to the study, prudent drivers would pay minimal rates. Aviva was the first insurance provider to create a smartphone app for tracking driving behavior in 2013.
Several digital advertising firms are already utilizing analytics technologies to gain insights into regular customer habits. Marketers may utilize the Internet of Things to monitor client purchasing behaviors across platforms, gain access to previously unavailable data, reconfigure the value chain, and even bring honest point-of-sale notifications and customized marketing. IoB is regarded as one of the top technology trends for 2021.
The COVID-19 epidemic is mostly to blame for IoB becoming a trend since it has revolutionized how consumers engage with brands, forcing businesses to reconsider how they communicate with customers. From the angle of human psychology, the IoB concept attempts to accurately analyze data and use that understanding to build and market new things. The IoB attempts to understand data obtained from users' online actions from the perspective of behavioral psychology. It seeks to address questions about how to analyze data and how to apply that information to develop and market new products, all from the standpoint of human psychology. This new approach occasionally has an impact on Quality Infrastructure since many organizations might increase their connectivity.
Using IoB technology has assisted numerous firms in reaching out to more clients through internet advertising. Companies may easily identify and target certain individuals or groups to offer their services and goods using the Internet of Behavior. Google and Facebook, for example, both utilize behavioral data to provide relevant adverts to its customers. Companies may use IoB to not only communicate with their target audience, but also track their habits in order to enhance services. Furthermore, new technologies such as Alexa, OK Google, and Siri are designed to study and analyze data and human behavior in order to perform more effectively.
Application Insights
Advertising Campaigns, Digital Marketing, Content Delivery, Brand Promotion, and Others are the market segments. Over the projected period, the Digital Marketing sector is likely to occupy a major proportion of the worldwide Internet of Behaviors (IoB) market. Because the internet of behavior (IoB) requires an internet connection, digital marketing services will benefit greatly from IoB technology. Data is the key commodity of digital marketing, which promotes products and services to consumers all over the world. If companies have access to behavioral analysis and interpretation technology, they will be better positioned to engage customers following the purchase process.
In 2021, the digital marketing category is expected to have the highest share. Because an internet connection is required for the internet of behavior (IoB), digital marketing services will benefit the most from IoB technology. Digital marketing is a field that markets products and services to individuals all over the world using data as its primary commodity.
They will be in a better position to contact customers at the conclusion of the purchasing process if they have access to tools for behavioral analysis and interpretation. Globally, there is expected to be a major increase in digital marketing. Digital marketing will be used to promote brands, generate leads, and increase sales. The Internet of Business is a big boon to the sales profession. At the same time, for decades, corporations relied on data to make judgments. Why has the IoB trend become so important in today's commercial, government, and non-profit sectors. First and foremost, IoB focuses on gathering, analyzing, and comprehending user behavior in order to enhance service quality and the value chain. This technology collaborates closely with behavioral science and can provide greater data insights. It also aids in the development of stronger client connections because IoB allows for two-way contact with them. Instead of doing surveys to learn from them, businesses may better understand their consumers' demands and deliver significant improvements.
Industry Insights
BFSI, Telecom and IT, Media and Entertainment, Tourism & Travel, Retail and e-Commerce, Healthcare, Manufacturing, and Others are the major segments. The BFSI category is expected to occupy a considerable part of the worldwide Internet of Behaviors (IoB) market by 2028. IoB is extensively utilized in the BFSI business for statement generation and automatic notification applications. Brands may maintain an omnichannel presence by swiftly determining a customer's preferred channels and providing tailored messaging solely through those channels. Consumer connection is being prioritized by financial institutions and retail banks through location-based advertising. These reasons are expected to drive IoB adoption in the BFSI industry.
The most obvious and effective examples of capitalizing on the Internet of Behaviours are Facebook and Google, which display adverts to surfers at frequent intervals depending on the detailed analysis and understanding they have created from consumer behavioral data obtained on a regular basis. However, collecting and analyzing data from IoT is difficult, and many businesses do not have simple access to this data. With the number of IoT devices predicted to triple by 2025, IoT, which has so far had momentum in the B2B industry, is expected to experience rapid acceptance in the consumer segment.
Regional Insights
The adoption of the internet of behaviors in North America is expected to rise at a rapid pace. Furthermore, North America has made significant progress in the use of IoT, particularly in the industrial and automotive industries. Because of the demand for IoT, cloud platforms are seeing widespread acceptance, boosting the growth of the internet of behaviors market throughout the forecast period.
South Asia and the Pacific are expected to emerge as the most opportunistic markets for the internet of behaviors due to the presence of a large consumer population, creating opportunities for organizations engaged in behavioral analytics to better understand consumer behavior and strategize their sales/marketing campaigns accordingly. Furthermore, rising government smart city efforts and cloud investment in the area are expected to fuel market expansion in the near future. Furthermore, the introduction of high-speed networking technologies, increased interest in the area by international firms, and rising demand from developing countries such as India, Indonesia, and Australia are expected to boost market expansion.
Key market developments
Aware, Inc., a major global provider of biometrics software products, solutions, and services, will exhibit its digital identification expertise in many sessions at the Identity Week London 2021 conference, which will be held from September 22 to 23 in London, England. Identity Week London is an ideal venue for Aware to showcase its extensive biometric expertise and solutions for password-less authentication and identity ownership, with a focus on digital identity and complex authentication technologies.
Maxar Technologies' AFIXTM suite of biometric products was bought by Aware, Inc., a prominent global provider of biometrics software products, solutions, and services, in November 2020. The Aware ABIS product line has expanded with the inclusion of AFIX, which provide turnkey also face and fingerprint biometrics matching, in addition forensic analysis softwares for small and medium-sized law enforcement and government organizations.
Key market players
By Application
The Internet of Behaviours (IoB) seeks to debate how data may be best understood and is used to build and launch new products from the perspective of human psychology. The IoB may be utilized in a variety of ways by both public and commercial enterprises. This innovation will become an enticing big branding and distribution platform for businesses and organizations all around the world. Every firm gets an in awareness of its clientele, which the IoB platform enables. For instance, IoB links all mobile phones in the program, allowing them to observe their faults and receive visual tips on how to improve their swinging and stroke. The linking of devices generates a large number of new pieces of data and spans beyond the Internet of Things (IoT). Businesses acquire information from customers by ‘sharing' data amongst linked devices, which are then monitored in real time by a single computer.
While refers to the interconnection of networked physical things that acquire and exchange data over the internet. IoB interprets this data in conjunction with particular human actions ranging from purchasing habits to demographic preferences. Location tracking, big data, and face recognition devices basically map client behavior. Here's an easy example: Uber. Its Internet of Things app monitors both drivers with passengers. Once the consumer has been left off, Uber polls to assess the ride, allowing the driver's conduct to be monitored and the quality of customer to be interpreted properly. By 2025, 40% of the world population would be subject to at least 1 IoB program (government or corporate) and digitally tracked in order to affect human behavior. IoB may be a great instrument for leveraging sales and marketing to develop effective strategies that make a difference in the products and services given to customers. But that's not all; it's also beneficial to other industries. IoB, for example, is useful in the medical arena, assisting healthcare personnel in assessing individuals' illnesses, responsiveness to medicines, and other lifestyle information.
Growth factors
Over the last decade or so, there has been an astonishing increase in chronic and weakens the immune system illnesses (NCDs). Every year, over 41 million individuals die as a result of NCDs, resulting in exorbitant healthcare cost. IoB-enabled devices have enabled significant advancements in artificial pancreas technology. According to 2015 research, IoB devices resulted in a 50% reduction in 30-day hospital readmissions. IoB aids in the reduction of automobile insurance premiums. Users can install an app on their phones that collects crucial information such as distance traveled, automobile speed, and time of day the user is driving, and so on. As a result, determine the right premium that the user is entitled to pay. According to the study, prudent drivers would pay minimal rates. Aviva was the first insurance provider to create a smartphone app for tracking driving behavior in 2013.
Several digital advertising firms are already utilizing analytics technologies to gain insights into regular customer habits. Marketers may utilize the Internet of Things to monitor client purchasing behaviors across platforms, gain access to previously unavailable data, reconfigure the value chain, and even bring honest point-of-sale notifications and customized marketing. IoB is regarded as one of the top technology trends for 2021.
The COVID-19 epidemic is mostly to blame for IoB becoming a trend since it has revolutionized how consumers engage with brands, forcing businesses to reconsider how they communicate with customers. From the angle of human psychology, the IoB concept attempts to accurately analyze data and use that understanding to build and market new things. The IoB attempts to understand data obtained from users' online actions from the perspective of behavioral psychology. It seeks to address questions about how to analyze data and how to apply that information to develop and market new products, all from the standpoint of human psychology. This new approach occasionally has an impact on Quality Infrastructure since many organizations might increase their connectivity.
Using IoB technology has assisted numerous firms in reaching out to more clients through internet advertising. Companies may easily identify and target certain individuals or groups to offer their services and goods using the Internet of Behavior. Google and Facebook, for example, both utilize behavioral data to provide relevant adverts to its customers. Companies may use IoB to not only communicate with their target audience, but also track their habits in order to enhance services. Furthermore, new technologies such as Alexa, OK Google, and Siri are designed to study and analyze data and human behavior in order to perform more effectively.
Application Insights
Advertising Campaigns, Digital Marketing, Content Delivery, Brand Promotion, and Others are the market segments. Over the projected period, the Digital Marketing sector is likely to occupy a major proportion of the worldwide Internet of Behaviors (IoB) market. Because the internet of behavior (IoB) requires an internet connection, digital marketing services will benefit greatly from IoB technology. Data is the key commodity of digital marketing, which promotes products and services to consumers all over the world. If companies have access to behavioral analysis and interpretation technology, they will be better positioned to engage customers following the purchase process.
In 2021, the digital marketing category is expected to have the highest share. Because an internet connection is required for the internet of behavior (IoB), digital marketing services will benefit the most from IoB technology. Digital marketing is a field that markets products and services to individuals all over the world using data as its primary commodity.
They will be in a better position to contact customers at the conclusion of the purchasing process if they have access to tools for behavioral analysis and interpretation. Globally, there is expected to be a major increase in digital marketing. Digital marketing will be used to promote brands, generate leads, and increase sales. The Internet of Business is a big boon to the sales profession. At the same time, for decades, corporations relied on data to make judgments. Why has the IoB trend become so important in today's commercial, government, and non-profit sectors. First and foremost, IoB focuses on gathering, analyzing, and comprehending user behavior in order to enhance service quality and the value chain. This technology collaborates closely with behavioral science and can provide greater data insights. It also aids in the development of stronger client connections because IoB allows for two-way contact with them. Instead of doing surveys to learn from them, businesses may better understand their consumers' demands and deliver significant improvements.
Industry Insights
BFSI, Telecom and IT, Media and Entertainment, Tourism & Travel, Retail and e-Commerce, Healthcare, Manufacturing, and Others are the major segments. The BFSI category is expected to occupy a considerable part of the worldwide Internet of Behaviors (IoB) market by 2028. IoB is extensively utilized in the BFSI business for statement generation and automatic notification applications. Brands may maintain an omnichannel presence by swiftly determining a customer's preferred channels and providing tailored messaging solely through those channels. Consumer connection is being prioritized by financial institutions and retail banks through location-based advertising. These reasons are expected to drive IoB adoption in the BFSI industry.
The most obvious and effective examples of capitalizing on the Internet of Behaviours are Facebook and Google, which display adverts to surfers at frequent intervals depending on the detailed analysis and understanding they have created from consumer behavioral data obtained on a regular basis. However, collecting and analyzing data from IoT is difficult, and many businesses do not have simple access to this data. With the number of IoT devices predicted to triple by 2025, IoT, which has so far had momentum in the B2B industry, is expected to experience rapid acceptance in the consumer segment.
Regional Insights
The adoption of the internet of behaviors in North America is expected to rise at a rapid pace. Furthermore, North America has made significant progress in the use of IoT, particularly in the industrial and automotive industries. Because of the demand for IoT, cloud platforms are seeing widespread acceptance, boosting the growth of the internet of behaviors market throughout the forecast period.
South Asia and the Pacific are expected to emerge as the most opportunistic markets for the internet of behaviors due to the presence of a large consumer population, creating opportunities for organizations engaged in behavioral analytics to better understand consumer behavior and strategize their sales/marketing campaigns accordingly. Furthermore, rising government smart city efforts and cloud investment in the area are expected to fuel market expansion in the near future. Furthermore, the introduction of high-speed networking technologies, increased interest in the area by international firms, and rising demand from developing countries such as India, Indonesia, and Australia are expected to boost market expansion.
Key market developments
Aware, Inc., a major global provider of biometrics software products, solutions, and services, will exhibit its digital identification expertise in many sessions at the Identity Week London 2021 conference, which will be held from September 22 to 23 in London, England. Identity Week London is an ideal venue for Aware to showcase its extensive biometric expertise and solutions for password-less authentication and identity ownership, with a focus on digital identity and complex authentication technologies.
Maxar Technologies' AFIXTM suite of biometric products was bought by Aware, Inc., a prominent global provider of biometrics software products, solutions, and services, in November 2020. The Aware ABIS product line has expanded with the inclusion of AFIX, which provide turnkey also face and fingerprint biometrics matching, in addition forensic analysis softwares for small and medium-sized law enforcement and government organizations.
Key market players
- Aware Inc.
- Traceable
- Guardian Analytics
- Vertica Systems
- Trifacta
- NuData Security
- Mazu Networks Inc.
- Qubit Digital
- Cognitive Scale
- Capillary Technologies
- Among others.
By Application
- Advertising Campaign
- Digital Marketing
- Content Delivery
- Brand Promotion
- Others
- Small & Medium Enterprises (SMEs)
- Large Enterprises
- BFSI
- Telecom and IT
- Media and Entertainment
- Tourism & Travel
- Retail and e-Commerce
- Healthcare
- Manufacturing
- Others
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Malaysia
- Philippines
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa (MEA)
- GCC
- North Africa
- South Africa
- Rest of the Middle East & Africa
Chapter 1. Introduction 1.1. Research Objective 1.2. Scope of the Study 1.3. Definition Chapter 2. Research Methodology 2.1. Research Approach 2.2. Data Sources 2.3. Assumptions & Limitations Chapter 3. Executive Summary 3.1. Market Snapshot Chapter 4. Market Variables and Scope 4.1. Introduction 4.2. Market Classification and Scope 4.3. Industry Value Chain Analysis 4.3.1. Raw Material Procurement Analysis 4.3.2. Sales and Distribution Channel Analysis 4.3.3. Downstream Buyer Analysis Chapter 5. COVID 19 Impact on Internet of Behaviors (IoB) Market 5.1. COVID-19 Landscape: Internet of Behaviors (IoB) Industry Impact 5.2. COVID 19 - Impact Assessment for the Industry 5.3. COVID 19 Impact: Global Major Government Policy 5.4. Market Trends and Opportunities in the COVID-19 Landscape Chapter 6. Market Dynamics Analysis and Trends 6.1. Market Dynamics 6.1.1. Market Drivers 6.1.2. Market Restraints 6.1.3. Market Opportunities 6.2. Porter’s Five Forces Analysis 6.2.1. Bargaining power of suppliers 6.2.2. Bargaining power of buyers 6.2.3. Threat of substitute 6.2.4. Threat of new entrants 6.2.5. Degree of competition Chapter 7. Competitive Landscape 7.1.1. Company Market Share/Positioning Analysis 7.1.2. Key Strategies Adopted by Players 7.1.3. Vendor Landscape 7.1.3.1. List of Suppliers 7.1.3.2. List of Buyers Chapter 8. Global Internet of Behaviors (IoB) Market, By Application 8.1. Internet of Behaviors (IoB) Market, by Application, 2022-2030 8.1.1 Advertising Campaign 8.1.1.1. Market Revenue and Forecast (2017-2030) 8.1.2. Digital Marketing 8.1.2.1. Market Revenue and Forecast (2017-2030) 8.1.3. Content Delivery 8.1.3.1. Market Revenue and Forecast (2017-2030) 8.1.4. Brand Promotion 8.1.4.1. Market Revenue and Forecast (2017-2030) 8.1.5. Others 8.1.5.1. Market Revenue and Forecast (2017-2030) Chapter 9. Global Internet of Behaviors (IoB) Market, By Enterprise Size 9.1. Internet of Behaviors (IoB) Market, by Enterprise Size, 2022-2030 9.1.1. Small & Medium Enterprises (SMEs) 9.1.1.1. Market Revenue and Forecast (2017-2030) 9.1.2. Large Enterprises 9.1.2.1. Market Revenue and Forecast (2017-2030) Chapter 10. Global Internet of Behaviors (IoB) Market, By Industry 10.1. Internet of Behaviors (IoB) Market, by Industry, 2022-2030 10.1.1. BFSI 10.1.1.1. Market Revenue and Forecast (2017-2030) 10.1.2. Telecom and IT 10.1.2.1. Market Revenue and Forecast (2017-2030) 10.1.3. Media and Entertainment 10.1.3.1. Market Revenue and Forecast (2017-2030) 10.1.4. Tourism & Travel 10.1.4.1. Market Revenue and Forecast (2017-2030) 10.1.5. Retail and e-Commerce 10.1.5.1. Market Revenue and Forecast (2017-2030) 10.1.6. Healthcare 10.1.6.1. Market Revenue and Forecast (2017-2030) 10.1.7. Manufacturing 10.1.7.1. Market Revenue and Forecast (2017-2030) 10.1.8. Others 10.1.8.1. Market Revenue and Forecast (2017-2030) Chapter 11. Global Internet of Behaviors (IoB) Market, Regional Estimates and Trend Forecast 11.1. North America 11.1.1. Market Revenue and Forecast, by Application (2017-2030) 11.1.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.1.3. Market Revenue and Forecast, by Industry (2017-2030) 11.1.4. U.S. 11.1.4.1. Market Revenue and Forecast, by Application (2017-2030) 11.1.4.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.1.4.3. Market Revenue and Forecast, by Industry (2017-2030) 11.1.5. Rest of North America 11.1.5.1. Market Revenue and Forecast, by Application (2017-2030) 11.1.5.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.1.5.3. Market Revenue and Forecast, by Industry (2017-2030) 11.2. Europe 11.2.1. Market Revenue and Forecast, by Application (2017-2030) 11.2.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.2.3. Market Revenue and Forecast, by Industry (2017-2030) 11.2.4. UK 11.2.4.1. Market Revenue and Forecast, by Application (2017-2030) 11.2.4.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.2.4.3. Market Revenue and Forecast, by Industry (2017-2030) 11.2.5. Germany 11.2.5.1. Market Revenue and Forecast, by Application (2017-2030) 11.2.5.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.2.5.3. Market Revenue and Forecast, by Industry (2017-2030) 11.2.6. France 11.2.6.1. Market Revenue and Forecast, by Application (2017-2030) 11.2.6.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.2.6.3. Market Revenue and Forecast, by Industry (2017-2030) 11.2.7. Rest of Europe 11.2.7.1. Market Revenue and Forecast, by Application (2017-2030) 11.2.7.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.2.7.3. Market Revenue and Forecast, by Industry (2017-2030) 11.3. APAC 11.3.1. Market Revenue and Forecast, by Application (2017-2030) 11.3.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.3.3. Market Revenue and Forecast, by Industry (2017-2030) 11.3.4. India 11.3.4.1. Market Revenue and Forecast, by Application (2017-2030) 11.3.4.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.3.4.3. Market Revenue and Forecast, by Industry (2017-2030) 11.3.5. China 11.3.5.1. Market Revenue and Forecast, by Application (2017-2030) 11.3.5.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.3.5.3. Market Revenue and Forecast, by Industry (2017-2030) 11.3.6. Japan 11.3.6.1. Market Revenue and Forecast, by Application (2017-2030) 11.3.6.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.3.6.3. Market Revenue and Forecast, by Industry (2017-2030) 11.3.7. Rest of APAC 11.3.7.1. Market Revenue and Forecast, by Application (2017-2030) 11.3.7.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.3.7.3. Market Revenue and Forecast, by Industry (2017-2030) 11.4. MEA 11.4.1. Market Revenue and Forecast, by Application (2017-2030) 11.4.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.4.3. Market Revenue and Forecast, by Industry (2017-2030) 11.4.4. GCC 11.4.4.1. Market Revenue and Forecast, by Application (2017-2030) 11.4.4.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.4.4.3. Market Revenue and Forecast, by Industry (2017-2030) 11.4.5. North Africa 11.4.5.1. Market Revenue and Forecast, by Application (2017-2030) 11.4.5.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.4.5.3. Market Revenue and Forecast, by Industry (2017-2030) 11.4.6. South Africa 11.4.6.1. Market Revenue and Forecast, by Application (2017-2030) 11.4.6.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.4.6.3. Market Revenue and Forecast, by Industry (2017-2030) 11.4.7. Rest of MEA 11.4.7.1. Market Revenue and Forecast, by Application (2017-2030) 11.4.7.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.4.7.3. Market Revenue and Forecast, by Industry (2017-2030) 11.5. Latin America 11.5.1. Market Revenue and Forecast, by Application (2017-2030) 11.5.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.5.3. Market Revenue and Forecast, by Industry (2017-2030) 11.5.4. Brazil 11.5.4.1. Market Revenue and Forecast, by Application (2017-2030) 11.5.4.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.5.4.3. Market Revenue and Forecast, by Industry (2017-2030) 11.5.5. Rest of LATAM 11.5.5.1. Market Revenue and Forecast, by Application (2017-2030) 11.5.5.2. Market Revenue and Forecast, by Enterprise Size (2017-2030) 11.5.5.3. Market Revenue and Forecast, by Industry (2017-2030) Chapter 12. Company Profiles 12.1. Aware Inc. 12.1.1. Company Overview 12.1.2. Product Offerings 12.1.3. Financial Performance 12.1.4. Recent Initiatives 12.2. Traceable 12.2.1. Company Overview 12.2.2. Product Offerings 12.2.3. Financial Performance 12.2.4. Recent Initiatives 12.3. Guardian Analytics 12.3.1. Company Overview 12.3.2. Product Offerings 12.3.3. Financial Performance 12.3.4. Recent Initiatives 12.4. Vertica Systems 12.4.1. Company Overview 12.4.2. Product Offerings 12.4.3. Financial Performance 12.4.4. Recent Initiatives 12.5. Trifacta 12.5.1. Company Overview 12.5.2. Product Offerings 12.5.3. Financial Performance 12.5.4. Recent Initiatives 12.6. NuData Security 12.6.1. Company Overview 12.6.2. Product Offerings 12.6.3. Financial Performance 12.6.4. Recent Initiatives 12.7. Mazu Networks Inc. 12.7.1. Company Overview 12.7.2. Product Offerings 12.7.3. Financial Performance 12.7.4. Recent Initiatives 12.8. Qubit Digital 12.8.1. Company Overview 12.8.2. Product Offerings 12.8.3. Financial Performance 12.8.4. Recent Initiatives 12.9. Cognitive Scale 12.9.1. Company Overview 12.9.2. Product Offerings 12.9.3. Financial Performance 12.9.4. Recent Initiatives 12.10. Capillary Technologies 12.10.1. Company Overview 12.10.2. Product Offerings 12.10.3. Financial Performance 12.10.4. Recent Initiatives Chapter 13. Research Methodology 13.1. Primary Research 13.2. Secondary Research 13.3. Assumptions Chapter 14. Appendix 14.1. About Us 14.2. Glossary of Term
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