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Global Digital Intelligence Platform Market to reach USD 52.80 billion by the end of 2030

Global Digital Intelligence Platform Market Size study & Forecast, by Component (Analytics, Data Management, Engagement Optimization), by Vertical (Travel & Hospitality, Telecommunication & IT, Retail & E-commerce, Public Sector, Others), by Touch Point (Company Website, Mobile, E-mail, Social-Media, Others) and Regional Analysis, 2023-2030

Product Code: ICTNGT-35199176
Publish Date: 5-12-2023
Page: 200

Global Digital Intelligence Platform Market is valued at approximately USD 14.14 billion in 2022 and is anticipated to grow with a CAGR of more than 17.9% over the forecast period 2023-2030. A Digital Intelligence Platform (DIP) is a software solution that helps organizations collect, analyze, and gain insights from large amounts of digital data. It gathers data from various sources, integrates it, and uses advanced analytics to uncover valuable patterns and trends. The platform provides real-time monitoring, visualization, and reporting tools for easy interpretation of the data. It enables personalization and targeting based on user behavior, ensures data governance and security, and integrates with other business systems. By using a DIP, organizations can make informed decisions, improve digital experiences, and drive business growth. Moreover, the growing advanced technology in IT and the growing data annotation market are anticipated as the growth drivers of this market. Furthermore, the increasing adoption of AI & machine learning and the growing industry application of digital intelligence fuel the market space during the forecast period of 2023-2030.

Moreover, According to the United Nations Conference on Trade and Development (UNCTAD) in 2021, the Digital Intelligence Platform Market is poised for significant growth. This is attributed to the presence of key technologies, including the Internet of Things (IoT) and Artificial Intelligence (AI), among others. These technologies collectively contribute to the market’s expansion, with a projected value of approximately USD 3.2 trillion by 2025. According to the India Brand Equity Foundation (IBEF) in 2023, The Digital Intelligence Platform Market is expected to witness significant growth in India, driven by the increasing demand for data annotation services. In FY20, the Indian data annotation market reached USD 250 million, with the US market accounting for 60% of the total value. With a surge in domestic demand for AI technologies, the market is projected to reach USD 7 billion by 2030, indicating substantial growth opportunities in the coming years. However, data security & privacy concerns and a lack of skilled professionals would hamper the growth of this market during the forecasted period 2023-2030.

The key regions considered for the Global Digital Intelligence Platform Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominates the Digital Intelligence Platform Market due to its technological advancements, early adoption of data-driven decision, a large customer base, strong regulatory frameworks, and the presence of major technology. The Asia-Pacific region is the fastest-growing market for digital intelligence platforms due to its increasing digital transformation initiatives, growing internet penetration, vibrant start-up ecosystem, customer-centric focus, and government support. These factors have led to a surge in demand for digital intelligence platforms, as organizations seek to leverage data analytics for competitive advantage and enhanced customer experiences. The region’s rapid adoption of technology and investments in digital initiatives contribute to its accelerated growth in the Digital Intelligence Platform Market.

Major market player included in this report are:
International Business Machines Corporation
Adobe Inc.
SAS Institute Inc.
Evergage Inc.
Google LLC
Mixpanel Inc.
Optimizely Inc.
Webtrekk GmbH
New Relic Inc.
Localytics Plc.

Recent Developments in the Market:
Ø In February 2023, Mobileum Inc. launched the most recent version of the Active Intelligence Platform (AIP). Gathering and analysing the increasing amount of complex data streams generated by Communication Service Provider (CSP) networks is the aim of AIP, a cloud-based big data solution.
Ø In June 2023, EETech, a prominent player in the electronics industry’s digital transformation, introduced its latest platform, VDI (Vital Data Intelligence). This advanced platform offers valuable insights and analytics on essential data points such as pricing, lead time, inventory, demand, and market trends within the electronics industry.

Global Digital Intelligence Platform 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 – Component, Vertical, Touch Point, 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 Component:
Data Management
Engagement Optimization

By Vertical:
Travel & Hospitality
Telecommunication & IT
Retail & E-commerce
Public Sector
Media & Entertainment

By Touch Point:
Company Website

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 Billion)
1.2.1. Digital Intelligence Platform Market, by Region, 2020-2030 (USD Billion)
1.2.2. Digital Intelligence Platform Market, by Component, 2020-2030 (USD Billion)
1.2.3. Digital Intelligence Platform Market, by Vertical, 2020-2030 (USD Billion)
1.2.4. Digital Intelligence Platform Market, by Touch Point, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Digital Intelligence Platform 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 Digital Intelligence Platform Market Dynamics
3.1. Digital Intelligence Platform Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing Advanced Technology In IT Growing Data Annotation Market
3.1.2. Market Challenges Data Security & Privacy Concern Lack of Skilled Professionals
3.1.3. Market Opportunities Increasing Adoption of AI & Machine Learning Growing Industry Application of Digital Intelligence
Chapter 4. Global Digital Intelligence Platform 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 Digital Intelligence Platform Market, by Component
5.1. Market Snapshot
5.2. Global Digital Intelligence Platform Market by Component, Performance – Potential Analysis
5.3. Global Digital Intelligence Platform Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Digital Intelligence Platform Market, Sub Segment Analysis
5.4.1. Analytics
5.4.2. Data Management
5.4.3. Engagement Optimization
Chapter 6. Global Digital Intelligence Platform Market, by Vertical
6.1. Market Snapshot
6.2. Global Digital Intelligence Platform Market by Vertical, Performance – Potential Analysis
6.3. Global Digital Intelligence Platform Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
6.4. Digital Intelligence Platform Market, Sub Segment Analysis
6.4.1. Travel & Hospitality
6.4.2. Telecommunication & IT
6.4.3. Retail & E-commerce
6.4.4. Public Sector
6.4.5. Media & Entertainment
6.4.6. Others
Chapter 7. Global Digital Intelligence Platform Market, by Touch Point
7.1. Market Snapshot
7.2. Global Digital Intelligence Platform Market by Touch Point, Performance – Potential Analysis
7.3. Global Digital Intelligence Platform Market Estimates & Forecasts by Touch Point 2020-2030 (USD Billion)
7.4. Digital Intelligence Platform Market, Sub Segment Analysis
7.4.1. Company Website
7.4.2. Mobile
7.4.3. E-mail
7.4.4. Social-Media
7.4.5. Others
Chapter 8. Global Digital Intelligence Platform Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Digital Intelligence Platform Market, Regional Market Snapshot
8.4. North America Digital Intelligence Platform Market
8.4.1. U.S. Digital Intelligence Platform Market Component breakdown estimates & forecasts, 2020-2030 Vertical breakdown estimates & forecasts, 2020-2030 Touch Point breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Digital Intelligence Platform Market
8.5. Europe Digital Intelligence Platform Market Snapshot
8.5.1. U.K. Digital Intelligence Platform Market
8.5.2. Germany Digital Intelligence Platform Market
8.5.3. France Digital Intelligence Platform Market
8.5.4. Spain Digital Intelligence Platform Market
8.5.5. Italy Digital Intelligence Platform Market
8.5.6. Rest of Europe Digital Intelligence Platform Market
8.6. Asia-Pacific Digital Intelligence Platform Market Snapshot
8.6.1. China Digital Intelligence Platform Market
8.6.2. India Digital Intelligence Platform Market
8.6.3. Japan Digital Intelligence Platform Market
8.6.4. Australia Digital Intelligence Platform Market
8.6.5. South Korea Digital Intelligence Platform Market
8.6.6. Rest of Asia Pacific Digital Intelligence Platform Market
8.7. Latin America Digital Intelligence Platform Market Snapshot
8.7.1. Brazil Digital Intelligence Platform Market
8.7.2. Mexico Digital Intelligence Platform Market
8.8. Middle East & Africa Digital Intelligence Platform Market
8.8.1. Saudi Arabia Digital Intelligence Platform Market
8.8.2. South Africa Digital Intelligence Platform Market
8.8.3. Rest of Middle East & Africa Digital Intelligence Platform 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. International Business Machines Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Adobe Inc.
9.3.3. SAS Institute Inc.
9.3.4. Evergage Inc.
9.3.5. Google LLC
9.3.6. Mixpanel Inc.
9.3.7. Optimizely Inc.
9.3.8. Webtrekk GmbH
9.3.9. New Relic Inc.
9.3.10. Localytics Plc.
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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