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Global Insights-as-a-Service Market to reach USD 22.26 billion by the end of 2030.

Global Insights-as-a-Service Market Size study & Forecast, by Type (Predictive Insights ,Descriptive Insights, Prescriptive Insights) By Application (Revenue Cycle Management, Governance, Risk, and Compliance, Branding and Marketing Management, Customer Life Cycle Management, Strategy Management, Supply Chain Management, Others) By Industry Vertical (BFSI, Healthcare and Life Sciences, Retail and Consumer Goods, Energy and Utilities, Manufacturing, Telecommunication and IT, Government and Public Sector, Others) By Deployment Type (Public Cloud, Private Cloud, Hybrid Cloud) By Organization Size (Small and Medium Enterprise (SME), Large enterprise) and Regional Analysis, 2023-2030

Product Code: ICTICTS-41525798
Publish Date: 30-10-2023
Page: 200

Global Insights-as-a-Service Market is valued approximately USD 4.11 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 23.5% over the forecast period 2023-2030. Insights-as-a-Service refers to the provision of data-driven insights and analytics as a service to businesses. It involves utilizing advanced data analytics techniques, such as machine learning, artificial intelligence, and big data analytics, to analyze large volumes of data and extract meaningful insights. The Insights-as-a-Service market is expanding because of factors such as rapid expansion of the IoT industry and rising adoption of Cloud platforms. These insights are then delivered to businesses in a consumable format, such as reports, dashboards, or visualizations. Its importance has progressively increased during the forecast period 2023-2030.

According to the Statista, the global market for industrial Internet of Things was sized at over USD 263 billion in 2021. The market is expected to grow in size in the coming years, reaching some USD 1.11 trillion by 2028. Furthermore, the global market for enterprise Internet of things is expected to grow to USD 483 billion in size by the end of 2027. The technology reached USD 201 billion in market revenue in 2022, and forecasts to grow up to USD 238 billion by 2023. Another important factor drives the Insights-as-a-Service market is increasing adoption of Cloud platforms. As cloud platforms offer the flexibility to scale resources up or down based on demand. This is crucial for Insights-as-a-Service, as data analysis often requires significant computational power. With cloud platforms, businesses can easily allocate additional computing resources when needed, enabling them to process large datasets and deliver insights efficiently. In addition, as per Statista, in 2022, Amazon Web Services was the most popular vendor in the cloud infrastructure services market, held around 32% of the total market share, followed by Microsoft Azure with a market share of 23%, and Google Cloud with a market share of 10%. In the fourth quarter of 2022, these three cloud vendors account for 65% of total global spending. Moreover, rising digitization and rapid urbanization is anticipated to create a lucrative growth opportunity for the market over the forecast period. However, growing concerns regarding data security and technical complexity stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Insights-as-a-Service Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the growing demand from large enterprises and big data companies within the region. Furthermore, Asia Pacific is expected to grow significantly during the forecast period, owing to large investments made in the data-driven industries such as BFSI, retail & consumer goods, and media & communications in the region.

Major market player included in this report are:

Deloitte Touche Tohmatsu Limited
Capgemini SE
NTT DATA Corporation
Oracle Corporation
Accenture plc
Microsoft Corporation
Tata Consultancy Services Limited (TCS)
Wipro Limited
Concentrix Corporation
Mastercard Incorporated
Recent Developments in the Market:
Ø In February 2023, Microsoft has announced the release of its next-generation hybrid cloud platform “Azure Operator Nexus” for communication service providers. Azure Operator Nexus will enable these businesses to execute carrier-grade workloads both on-premises and in Azure.

Global Insights-as-a-Service 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, Application, Industry Vertical, Deployment Type, Organization Size, 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
Predictive Insights
Descriptive Insights
Prescriptive Insights

By Application
Revenue Cycle Management
Governance, Risk, and Compliance
Branding and Marketing Management
Customer Life Cycle Management
Strategy Management
Supply Chain Management

By Industry Vertical
Healthcare and Life Sciences
Retail and Consumer Goods
Energy and Utilities
Telecommunication and IT
Government and Public Sector

By Deployment Type
Public Cloud
Private Cloud
Hybrid Cloud

By Organization Size
Small and Medium Enterprise (SME)
Large enterprise

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. Insights-as-a-Service Market, by region, 2020-2030 (USD Billion)
1.2.2. Insights-as-a-Service Market, by Type, 2020-2030 (USD Billion)
1.2.3. Insights-as-a-Service Market, by Application, 2020-2030 (USD Billion)
1.2.4. Insights-as-a-Service Market, by Industry Vertical, 2020-2030 (USD Billion)
1.2.5. Insights-as-a-Service Market, by Deployment Type, 2020-2030 (USD Billion)
1.2.6. Insights-as-a-Service Market, by Organization Size, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Insights-as-a-Service 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 Insights-as-a-Service Market Dynamics
3.1. Insights-as-a-Service Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rapid expansion of the IoT industry Rising adoption of Cloud platforms
3.1.2. Market Challenges Growing concerns regarding data security Technical complexity
3.1.3. Market Opportunities Rising digitization Rapid urbanization
Chapter 4. Global Insights-as-a-Service 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 Insights-as-a-Service Market, by Type
5.1. Market Snapshot
5.2. Global Insights-as-a-Service Market by Type, Performance – Potential Analysis
5.3. Global Insights-as-a-Service Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Insights-as-a-Service Market, Sub Segment Analysis
5.4.1. Predictive Insights
5.4.2. Descriptive Insights
5.4.3. Prescriptive Insights
Chapter 6. Global Insights-as-a-Service Market, by Application
6.1. Market Snapshot
6.2. Global Insights-as-a-Service Market by Application, Performance – Potential Analysis
6.3. Global Insights-as-a-Service Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
6.4. Insights-as-a-Service Market, Sub Segment Analysis
6.4.1. Revenue Cycle Management
6.4.2. Governance, Risk, and Compliance
6.4.3. Branding and Marketing Management
6.4.4. Customer Life Cycle Management
6.4.5. Strategy Management
6.4.6. Supply Chain Management
6.4.7. Others
Chapter 7. Global Insights-as-a-Service Market, by Industry Vertical
7.1. Market Snapshot
7.2. Global Insights-as-a-Service Market by Industry Vertical, Performance – Potential Analysis
7.3. Global Insights-as-a-Service Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
7.4. Insights-as-a-Service Market, Sub Segment Analysis
7.4.1. BFSI
7.4.2. Healthcare and Life Sciences
7.4.3. Retail and Consumer Goods
7.4.4. Energy and Utilities
7.4.5. Manufacturing
7.4.6. Telecommunication and IT
7.4.7. Government and Public Sector
7.4.8. Others
Chapter 8. Global Insights-as-a-Service Market, by Deployment Type
8.1. Market Snapshot
8.2. Global Insights-as-a-Service Market by Deployment Type, Performance – Potential Analysis
8.3. Global Insights-as-a-Service Market Estimates & Forecasts by Deployment Type 2020-2030 (USD Billion)
8.4. Insights-as-a-Service Market, Sub Segment Analysis
8.4.1. Public Cloud
8.4.2. Private Cloud
8.4.3. Hybrid Cloud
Chapter 9. Global Insights-as-a-Service Market, by Organization Size
9.1. Market Snapshot
9.2. Global Insights-as-a-Service Market by Organization Size, Performance – Potential Analysis
9.3. Global Insights-as-a-Service Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
9.4. Insights-as-a-Service Market, Sub Segment Analysis
9.4.1. Small and Medium Enterprise (SME)
9.4.2. Large enterprise
Chapter 10. Global Insights-as-a-Service Market, Regional Analysis
10.1. Top Leading Countries
10.2. Top Emerging Countries
10.3. Insights-as-a-Service Market, Regional Market Snapshot
10.4. North America Insights-as-a-Service Market
10.4.1. U.S. Insights-as-a-Service Market Type breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030 Industry Vertical breakdown estimates & forecasts, 2020-2030 Deployment Type breakdown estimates & forecasts, 2020-2030 Organization Size breakdown estimates & forecasts, 2020-2030
10.4.2. Canada Insights-as-a-Service Market
10.5. Europe Insights-as-a-Service Market Snapshot
10.5.1. U.K. Insights-as-a-Service Market
10.5.2. Germany Insights-as-a-Service Market
10.5.3. France Insights-as-a-Service Market
10.5.4. Spain Insights-as-a-Service Market
10.5.5. Italy Insights-as-a-Service Market
10.5.6. Rest of Europe Insights-as-a-Service Market
10.6. Asia-Pacific Insights-as-a-Service Market Snapshot
10.6.1. China Insights-as-a-Service Market
10.6.2. India Insights-as-a-Service Market
10.6.3. Japan Insights-as-a-Service Market
10.6.4. Australia Insights-as-a-Service Market
10.6.5. South Korea Insights-as-a-Service Market
10.6.6. Rest of Asia Pacific Insights-as-a-Service Market
10.7. Latin America Insights-as-a-Service Market Snapshot
10.7.1. Brazil Insights-as-a-Service Market
10.7.2. Mexico Insights-as-a-Service Market
10.8. Middle East & Africa Insights-as-a-Service Market
10.8.1. Saudi Arabia Insights-as-a-Service Market
10.8.2. South Africa Insights-as-a-Service Market
10.8.3. Rest of Middle East & Africa Insights-as-a-Service Market

Chapter 11. Competitive Intelligence
11.1. Key Company SWOT Analysis
11.1.1. Company 1
11.1.2. Company 2
11.1.3. Company 3
11.2. Top Market Strategies
11.3. Company Profiles
11.3.1. Deloitte Touche Tohmatsu Limited Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.3.2. Capgemini SE
11.3.3. NTT DATA Corporation
11.3.4. Oracle Corporation
11.3.5. Accenture plc
11.3.6. Microsoft Corporation
11.3.7. Tata Consultancy Services Limited (TCS)
11.3.8. Wipro Limited
11.3.9. Concentrix Corporation
11.3.10. Mastercard Incorporated

Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. 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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