Internet Of Behavior Market Size, Share, Opportunities, And Trends By Application (Advertising Campaign, Digital Marketing, Content Delivery, Brand Promotion, Others), By Enterprise Size (Small & Medium Enterprises, Large Enterprises), By Industry (BFSI, Retail And E-Commerce, Telecom And It, Media & Entertainment, Healthcare, Manufacturing, Others), And By Geography - Forecasts From 2023 To 2028

  • Published : Aug 2023
  • Report Code : KSI061615869
  • Pages : 150

The Internet of Behavior (IoB) market is a growing industry focused on recording and analyzing people's digital behaviors and interactions. It uses data from numerous sources to study human behavior patterns, preferences, and routines, such as social media, linked devices, and online activities. IoB helps businesses to get significant insights into customer behavior, allowing for focused marketing, personalized experiences, and better decision-making processes. As the world becomes more digital, the Internet of Behavior market is primed for tremendous growth and transforming how businesses interact with customers and advancing data analytics and artificial intelligence technology.

Increasing Adoption of Connected Devices and IoT Technologies

The Internet of Things (IoT) is rapidly gaining traction, with an increasing number of linked gadgets being incorporated into many facets of daily life. IoT technologies are becoming increasingly common, from smart homes and wearable gadgets to industrial sensors and smart city infrastructure. This growing use of connected devices creates massive volumes of data, which may be used to gain significant insights into human behavior and relationships. As a result, the Internet of Behavior (IoB) industry benefits from the vast amount of data gathered, allowing organizations to better understand customer preferences, habits, and trends, and design personalized experiences and targeted marketing campaigns appropriately.

Growing Volume and Variety of Data Generated

The increasing volume and diversity of data being collected is a major driver of the Internet of Behavior (IoB) business. With the growing popularity of linked gadgets, social media platforms, and online activities, massive volumes of data are being always generated. This information includes a wide range of information, such as user behavior, preferences, interactions, and attitudes. Organizations may obtain deeper insights into customer behavior as the data pool grows, allowing more accurate predictive modelling and personalized experiences. The quantity of data drives the expansion of the IoB industry, enabling organizations to make data-driven choices and improve consumer engagement tactics.

Advancements in Data Analytics and AI Capabilities

Advances in data analytics and artificial intelligence (AI) capabilities have shaped the Internet of Behavior (IoB) business. With the volume and complexity of data created increasing, advanced data analytics tools and AI algorithms are required to extract useful insights. Data analytics allows organizations to rapidly handle and analyses enormous datasets, discovering behavior patterns and trends. Artificial intelligence skills improve predictive modelling and enable real-time decision-making based on user behavior. These improvements enable businesses to provide personalized experiences, targeted marketing, and optimized services, making data analytics and AI critical in capitalizing on the IoB market's promise to revolutionize consumer engagement and business strategy.

North America is the Market Leader in the Internet of Behavior Market.

North America was the market leader in the Internet of Behavior (IoB) market. The United States has played a vital role in advancing IoB technology and solution acceptance and development. The sophisticated digital infrastructure, broad usage of linked devices, and a robust IT industry have all contributed to North America's supremacy. Furthermore, the region's consumer-focused marketplaces and data-driven corporate environment have aided in the rapid expansion of IoB applications. As the Internet of Things continues to expand and gain traction, North America is projected to maintain its leadership role in creating the future of behavior analytics and personalized experiences.

Integration of IoB in Various Industries, such as Retail, Healthcare, and Marketing in the Internet of Behavior Market.

The Internet of Behavior (IoB) is revolutionizing how businesses connect with consumers and make data-driven choices in a variety of industries, including retail, healthcare, and marketing. IoB technology provides personalized shopping experiences based on client behavior and preferences in the retail industry. IoB applications in healthcare help to enhance patient care through remote monitoring and personalized therapy. IoB data in marketing enables organizations to target specific consumers with appropriate adverts. The incorporation of IoB in these industries improves consumer interaction, optimizes operations, and promotes innovation, transforming it into a transformational force in defining the future of these industries.

Key Developments:

  • In June 2023, Salesforce and Google Cloud announced an extended strategic relationship to enable organizations to use data and artificial intelligence (AI) to provide more personalized customer experiences, better understand customer behavior, and conduct more successful campaigns at a reduced cost across marketing, sales, support, and commerce.
  • In June 2023, SAP SE announced that Silver Lake Management, the global leader in technology investing, and its co-investors, including the Canada Pension Plan Investment Board (CPPIB), have completed the acquisition of all issued and outstanding Qualtrics shares, including all shares owned by SAP, for US$18.15 in cash per share. SAP will continue to be a close go-to-market and technology partner to Qualtrics, serving shared clients and contributing to their success.
  • In July 2023, Truist Financial Corp. and IBM announced that the bank would participate in the IBM Quantum Accelerator programme, as well as welcome IBM to the bank's Innovator in Residence programme. This partnership will promote technological innovation in banking while also investigating prospects for the use of quantum computing in the financial industry.

Company Products:

  • Azure IoT Suite: Azure IoT Suite, Microsoft's IoT platform, offers tools and services for connecting, monitoring, and managing IoT devices. This platform permitted the collection of behavioural data from linked devices, which aided in the development of IoB apps.
  • Salesforce Customer 360: Salesforce Customer 360 is a platform that allows businesses to build a single customer profile by combining data from numerous sources, including behavioral data. This gives organizations a complete picture of their consumers' interactions and behaviors, enabling more personalized and targeted customer engagement.
  • AWS IoT Core: AWS IoT Core is a cloud service that allows connected devices and the cloud to communicate safely and seamlessly. This platform enables enterprises to gather and analyses behavioural data from IoT devices, hence contributing to the development of IoB applications.
  • Amazon Personalize: Amazon Personalize is a machine learning tool that assists businesses in creating customized suggestions for their consumers based on behavioral data. It takes advantage of client interactions and behavior to provide more relevant product suggestions and personalized information.

Segmentation:

  • By Application
    • Advertising Campaign
    • Digital Marketing
    • Content Delivery
    • Brand Promotion
    • Others
  • By Enterprise Size
    • Small & Medium Enterprises
    • Large Enterprises
  • By Industry
    • BFSI
    • Retail And E-Commerce
    • Telecom And It
    • Media & Entertainment
    • Healthcare
    • Manufacturing
    • Others
  • By Geography
    • North America
      • USA
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • Germany
      • France
      • United Kingdom
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Israel
      • Others
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • Indonesia
      • Taiwan
      • Others

1.  INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY  

2.1. Research Data

2.2. Assumptions

3. EXECUTIVE SUMMARY

3.1. Research Highlights

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Force Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

5. INTERNET OF BEHAVIOR MARKET, BY APPLICATION

5.1. Introduction

5.2. Advertising Campaign

5.3. Digital Marketing

5.4. Content Delivery

5.5. Brand Promotion

5.6. Others

6. INTERNET OF BEHAVIOR MARKET, BY ENTERPRISE SIZE

6.1. Introduction

6.2. Small & Medium Enterprises

6.3. Large Enterprises

7. INTERNET OF BEHAVIOR MARKET, BY INDUSTRY 

7.1. Introduction

7.2. BFSI

7.3. Retail and E-Commerce

7.4. Telecom and IT

7.5. Media & Entertainment

7.6. Healthcare

7.7. Manufacturing

7.8. Others

8. INTERNET OF BEHAVIOR MARKET, BY GEOGRAPHY

8.1. Introduction 

8.2. North America

8.2.1. USA

8.2.2. Canada

8.2.3. Mexico

8.3. South America

8.3.1. Brazil

8.3.2. Argentina

8.3.3. Others

8.4. Europe

8.4.1. Germany

8.4.2. France

8.4.3. United Kingdom

8.4.4. Spain

8.4.5. Others

8.5. Middle East And Africa

8.5.1. Saudi Arabia

8.5.2. UAE

8.5.3. Israel

8.5.4. Others

8.6. Asia Pacific

8.6.1. China

8.6.2. Japan

8.6.3. India

8.6.4. South Korea

8.6.5. Indonesia

8.6.6. Taiwan

8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Emerging Players and Market Lucrativeness

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES 

10.1. Aware

10.2. Trifacta

10.3. Vertica Systems

10.4. Arrow Electronics

10.5. NuData Security

10.6. Riverbed Technology

10.7. Meetri Infotech

10.8. CognitiveScale

10.9. Capillary Technologies

10.10. Sweet Analytics


Aware

Trifacta

Vertica Systems

Arrow Electronics

Nudata Security

Riverbed Technology

Meetri Infotech

Cognitivescale

Capillary Technologies

Sweet Analytics