Insights-as-a-Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Application (Revenue Cycle Management, Customer Life Cycle/ Relationship Management, Category Management, Branding & Marketing Insights, Supply Chain Management, Others), By Organization Size (Large Enterprises, Small and Medium Enterprises), By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud), End User Industry (BFSI, IT & Telecom, Retail, Healthcare, Energy, Other), By Region, and By Competition, 2019-2029F
Global Insights-as-a-Service Market was valued at USD 12.82 billion in 2023 and is anticipated t%li%project robust growth in the forecast period with a CAGR of 16.91% through 2029. Insights-as-a-Service (IaaS) is a cloud-based solution offering predictive analytics and business intelligence tailored t%li%organizations. It finds applications across sectors like government, energy, healthcare, and manufacturing. IaaS supplements in-house IT systems, refining data int%li%actionable insights. It enhances operations and revenues by presenting visually appealing datasets. Key drivers include the demand for customer insights, the surge in big data, and IoT adoption. However, challenges include data security and integration issues. Cloud adoption and specialized IaaS offerings present growth opportunities.
Key Market Drivers
The Global Insights-as-a-Service (IaaS) market is witnessing remarkable growth driven by a confluence of factors that are reshaping the business landscape. At the forefront of these drivers is the proliferation of data. The digital age has ushered in an era where data is generated at unprecedented rates from diverse sources such as social media, IoT devices, mobile applications, and business transactions. This deluge of data has created an urgent need for sophisticated analytical tools that can process and extract actionable insights, a need that Insights-as-a-Service solutions are uniquely positioned t%li%meet. Organizations, now more than ever, recognize the strategic value of data-driven decision-making, and IaaS platforms provide the advanced analytics necessary t%li%harness this potential, enabling businesses t%li%gain competitive advantages through enhanced operational efficiencies and informed strategic planning.
Simultaneously, the rapid adoption of cloud computing has been instrumental in propelling the IaaS market forward. Cloud technology offers a scalable, flexible, and cost-effective infrastructure that facilitates the storage, processing, and analysis of large volumes of data. By leveraging the cloud, businesses can bypass the substantial upfront costs associated with traditional data infrastructure, opting instead for a pay-as-you-g%li%model that aligns costs with usage. This accessibility democratizes advanced analytics, allowing even small and medium-sized enterprises t%li%capitalize on the benefits of Insights-as-a-Service without the need for significant capital expenditure. Moreover, the integration of IaaS with cloud platforms ensures seamless scalability, enabling organizations t%li%scale their data operations up or down in response t%li%changing needs, thus fostering greater agility and responsiveness in the marketplace.
The heightened focus on customer experience is another critical driver of the IaaS market. In an increasingly competitive business environment, understanding and anticipating customer needs has become paramount. Insights-as-a-Service solutions provide the tools t%li%analyze customer behavior, preferences, and feedback in real-time, allowing businesses t%li%tailor their products, services, and marketing strategies accordingly. By delivering personalized and contextually relevant experiences, companies can enhance customer satisfaction and loyalty, ultimately driving revenue growth. The ability t%li%gain deep insights int%li%customer journeys and sentiment analysis empowers businesses t%li%make proactive adjustments, fostering stronger customer relationships and reducing churn.
Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are significantly enhancing the capabilities of IaaS solutions. These technologies enable more sophisticated data analysis, predictive analytics, and automation of insights generation. AI-driven IaaS platforms can uncover hidden patterns, trends, and correlations within data sets that would be impossible for humans t%li%detect manually. This heightened level of analytical prowess not only accelerates the speed at which insights are generated but als%li%improves the accuracy and relevance of the insights, making them more actionable and impactful for business decision-making.
Key Market Challenges
The Global Insights-as-a-Service (IaaS) market, while experiencing significant growth, faces a range of challenges that could impact its trajectory. One of the foremost challenges is data security and privacy concerns. As businesses increasingly rely on third-party IaaS providers t%li%handle vast amounts of sensitive data, the risk of data breaches and cyberattacks becomes a critical issue. Ensuring robust data security measures and compliance with stringent regulations such as GDPR and CCPA is paramount, yet it remains a complex and resource-intensive task. Organizations must trust that their IaaS providers have the necessary safeguards in place t%li%protect their data, which can be a significant hurdle given the varying security standards across providers.
Another major challenge is the integration of IaaS solutions with existing systems. Many organizations operate with a patchwork of legacy systems that may not seamlessly integrate with modern IaaS platforms. This can lead t%li%compatibility issues, data silos, and inefficiencies that undermine the potential benefits of leveraging advanced analytics. The process of integrating IaaS solutions often requires significant time, expertise, and financial investment, which can be a deterrent, particularly for smaller businesses with limited resources.
Data quality and consistency als%li%present substantial challenges. The insights derived from IaaS are only as good as the underlying data, and many organizations struggle with data that is incomplete, outdated, or inconsistent. Ensuring high data quality requires ongoing efforts in data governance, cleansing, and validation, which can be resource-intensive. Additionally, the sheer volume and variety of data sources can exacerbate these issues, making it difficult t%li%maintain a single, unified source of truth that can reliably inform decision-making processes.
Cost concerns further complicate the landscape. While cloud-based IaaS solutions are often touted for their cost-effectiveness, the reality can be more nuanced. The pay-as-you-g%li%model provides flexibility, but costs can quickly escalate with increasing data volumes and more complex analytical needs. Organizations must carefully manage their usage and understand the cost structures of their IaaS providers t%li%avoid unexpected expenses. This financial unpredictability can be particularly challenging for businesses with tight budgets or those that lack sophisticated financial management capabilities.
The skills gap represents a significant barrier. Effective utilization of IaaS solutions often requires a high level of expertise in data science, analytics, and cloud technologies. However, there is a well-documented shortage of professionals with these skills, creating a bottleneck for organizations looking t%li%adopt and maximize the value of IaaS. Training and retaining skilled personnel is not only costly but als%li%time-consuming, which can slow down the pace of IaaS adoption and implementation.
Vendor lock-in is another concern that organizations must navigate. Relying heavily on a single IaaS provider can lead t%li%dependency issues, where switching providers becomes prohibitively difficult and costly. This lock-in can limit flexibility and innovation, as businesses may be constrained by the specific capabilities and limitations of their chosen provider.
Regulatory compliance and the increasing emphasis on data security are driving organizations towards IaaS solutions. With stringent data protection regulations such as GDPR and CCPA, businesses must ensure that their data handling practices are compliant. IaaS providers typically offer robust security features and compliance frameworks that help organizations mitigate risks associated with data breaches and non-compliance. This reassurance is crucial for businesses that handle sensitive data, as it allows them t%li%focus on leveraging insights while maintaining trust and integrity with their stakeholders.
Key Market Trends
The Global Insights-as-a-Service (IaaS) market is witnessing several transformative trends that are reshaping how businesses harness data and derive actionable insights t%li%drive growth and innovation. These trends reflect the evolving landscape of data analytics and the increasing demand for advanced analytics solutions that deliver real-time, industry-specific insights while ensuring data governance and privacy.
One prominent trend is the rise of predictive and prescriptive analytics. Organizations are increasingly leveraging predictive models t%li%forecast future trends and outcomes based on historical data, enabling them t%li%anticipate market shifts, identify emerging opportunities, and proactively address challenges. Prescriptive analytics takes this a step further by providing recommendations on the best course of action t%li%achieve desired outcomes, empowering businesses t%li%make informed decisions with confidence and agility.
Real-time analytics is als%li%gaining prominence as organizations seek t%li%stay agile and responsive in today's fast-paced environment. The ability t%li%access and analyze data in real time enables businesses t%li%seize opportunities as they arise, mitigate risks before they escalate, and adapt quickly t%li%changing market conditions. Insights-as-a-Service solutions that offer real-time data processing and visualization capabilities are in high demand, particularly in industries such as finance, e-commerce, and healthcare.
Another trend shaping the IaaS market is the convergence of data sources. With the proliferation of data from diverse sources such as social media, IoT devices, sensors, and external databases, organizations are recognizing the importance of integrating disparate data sources t%li%gain a comprehensive understanding of their operations and market dynamics. Insights-as-a-Service providers are responding t%li%this trend by offering solutions that support the convergence of structured and unstructured data, enabling organizations t%li%uncover hidden insights and drive more informed decision-making across the enterprise.
Data governance and privacy are als%li%top priorities for businesses in the IaaS market. With growing concerns around data privacy and regulatory compliance, organizations are placing greater emphasis on implementing robust data governance frameworks and security protocols t%li%ensure the confidentiality, integrity, and availability of sensitive information. Insights-as-a-Service providers are offering built-in compliance features and encryption capabilities t%li%help organizations comply with regulations such as GDPR, CCPA, and HIPAA.
Industry-specific insights are another key trend driving the IaaS market. Businesses are seeking insights that are tailored t%li%their specific industry verticals, as generic analytics solutions may not fully address their unique challenges and requirements. Insights-as-a-Service providers are developing industry-specific analytics solutions that leverage domain expertise and industry benchmarks t%li%deliver actionable insights. Whether it's predictive maintenance in manufacturing, patient outcomes analysis in healthcare, or customer churn prediction in telecommunications, industry-specific IaaS solutions are enabling organizations t%li%derive maximum value from their data and drive business growth.
The adoption of self-service analytics is gaining traction as organizations look t%li%empower business users with the tools and capabilities t%li%explore data and generate insights independently. Insights-as-a-Service platforms are incorporating intuitive interfaces, drag-and-drop functionality, and natural language processing capabilities t%li%make analytics more accessible t%li%non-technical users. By democratizing data access and analysis, self-service analytics fosters a culture of data-driven decision-making throughout the organization, driving innovation and agility.
Segmental Insights
End User Industry Insights
In 2023, the Banking, Financial Services, and Insurance (BFSI) segment emerged as the dominant force in the Global Insights-as-a-Service (IaaS) Market. This sector's ascendancy reflects its robust adoption of IaaS solutions t%li%gain deeper insights int%li%customer behavior, market trends, and risk management strategies. With the BFSI industry facing increasing competition, evolving regulatory requirements, and the need t%li%enhance operational efficiency, IaaS offers a powerful means t%li%extract actionable insights from vast datasets and drive informed decision-making processes. The dominance of the BFSI segment in the IaaS market is underscored by its reliance on data-driven strategies t%li%optimize financial performance, mitigate risks, and deliver personalized services t%li%customers. By leveraging IaaS solutions, banks, financial institutions, and insurance companies can unlock valuable insights from diverse data sources, including transaction records, customer interactions, and market trends. This enables them t%li%tailor products and services, detect fraudulent activities, and identify new revenue opportunities, ultimately enhancing customer satisfaction and maintaining competitive advantage in a dynamic market landscape.
Regional Insights
In 2023, Asia Pacific asserted its dominance by holding the largest market share in the Global Insights-as-a-Service (IaaS) Market. This regional ascendancy reflects Asia Pacific's rapid adoption of advanced analytics and cloud-based solutions across diverse industries. As organizations in the region increasingly prioritize data-driven decision-making and digital transformation initiatives, the demand for IaaS solutions has surged, driving significant market growth. Several factors contribute t%li%Asia Pacific's leadership in the IaaS market. Firstly, the region's burgeoning economies, such as China, India, and Southeast Asian countries, are experiencing rapid digitization and technological advancement. This digital transformation is driving the adoption of IaaS solutions as organizations seek t%li%harness the power of data analytics t%li%gain competitive insights, improve operational efficiency, and drive innovation across various sectors.
Key Market Players
In this report, the Global Insights-as-a-Service Market has been segmented int%li%the following categories, in addition t%li%the industry trends which have als%li%been detailed below:
§ Canada
§ Mexico
§ United Kingdom
§ Italy
§ Germany
§ Spain
§ Netherlands
§ Belgium
§ India
§ Japan
§ Australia
§ South Korea
§ Thailand
§ Malaysia
§ Argentina
§ Colombia
§ Chile
§ Saudi Arabia
§ UAE
§ Turkey
Competitive Landscape
Company Profiles: Detailed analysis of the major companies presents in the Global Insights-as-a-Service Market.
Available Customizations:
Global Insights-as-a-Service Market report with the given market data, Tech Sci Research offers customizations according t%li%a company's specific needs. The following customization options are available for the report:
Company Information
Key Market Drivers
The Global Insights-as-a-Service (IaaS) market is witnessing remarkable growth driven by a confluence of factors that are reshaping the business landscape. At the forefront of these drivers is the proliferation of data. The digital age has ushered in an era where data is generated at unprecedented rates from diverse sources such as social media, IoT devices, mobile applications, and business transactions. This deluge of data has created an urgent need for sophisticated analytical tools that can process and extract actionable insights, a need that Insights-as-a-Service solutions are uniquely positioned t%li%meet. Organizations, now more than ever, recognize the strategic value of data-driven decision-making, and IaaS platforms provide the advanced analytics necessary t%li%harness this potential, enabling businesses t%li%gain competitive advantages through enhanced operational efficiencies and informed strategic planning.
Simultaneously, the rapid adoption of cloud computing has been instrumental in propelling the IaaS market forward. Cloud technology offers a scalable, flexible, and cost-effective infrastructure that facilitates the storage, processing, and analysis of large volumes of data. By leveraging the cloud, businesses can bypass the substantial upfront costs associated with traditional data infrastructure, opting instead for a pay-as-you-g%li%model that aligns costs with usage. This accessibility democratizes advanced analytics, allowing even small and medium-sized enterprises t%li%capitalize on the benefits of Insights-as-a-Service without the need for significant capital expenditure. Moreover, the integration of IaaS with cloud platforms ensures seamless scalability, enabling organizations t%li%scale their data operations up or down in response t%li%changing needs, thus fostering greater agility and responsiveness in the marketplace.
The heightened focus on customer experience is another critical driver of the IaaS market. In an increasingly competitive business environment, understanding and anticipating customer needs has become paramount. Insights-as-a-Service solutions provide the tools t%li%analyze customer behavior, preferences, and feedback in real-time, allowing businesses t%li%tailor their products, services, and marketing strategies accordingly. By delivering personalized and contextually relevant experiences, companies can enhance customer satisfaction and loyalty, ultimately driving revenue growth. The ability t%li%gain deep insights int%li%customer journeys and sentiment analysis empowers businesses t%li%make proactive adjustments, fostering stronger customer relationships and reducing churn.
Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are significantly enhancing the capabilities of IaaS solutions. These technologies enable more sophisticated data analysis, predictive analytics, and automation of insights generation. AI-driven IaaS platforms can uncover hidden patterns, trends, and correlations within data sets that would be impossible for humans t%li%detect manually. This heightened level of analytical prowess not only accelerates the speed at which insights are generated but als%li%improves the accuracy and relevance of the insights, making them more actionable and impactful for business decision-making.
Key Market Challenges
The Global Insights-as-a-Service (IaaS) market, while experiencing significant growth, faces a range of challenges that could impact its trajectory. One of the foremost challenges is data security and privacy concerns. As businesses increasingly rely on third-party IaaS providers t%li%handle vast amounts of sensitive data, the risk of data breaches and cyberattacks becomes a critical issue. Ensuring robust data security measures and compliance with stringent regulations such as GDPR and CCPA is paramount, yet it remains a complex and resource-intensive task. Organizations must trust that their IaaS providers have the necessary safeguards in place t%li%protect their data, which can be a significant hurdle given the varying security standards across providers.
Another major challenge is the integration of IaaS solutions with existing systems. Many organizations operate with a patchwork of legacy systems that may not seamlessly integrate with modern IaaS platforms. This can lead t%li%compatibility issues, data silos, and inefficiencies that undermine the potential benefits of leveraging advanced analytics. The process of integrating IaaS solutions often requires significant time, expertise, and financial investment, which can be a deterrent, particularly for smaller businesses with limited resources.
Data quality and consistency als%li%present substantial challenges. The insights derived from IaaS are only as good as the underlying data, and many organizations struggle with data that is incomplete, outdated, or inconsistent. Ensuring high data quality requires ongoing efforts in data governance, cleansing, and validation, which can be resource-intensive. Additionally, the sheer volume and variety of data sources can exacerbate these issues, making it difficult t%li%maintain a single, unified source of truth that can reliably inform decision-making processes.
Cost concerns further complicate the landscape. While cloud-based IaaS solutions are often touted for their cost-effectiveness, the reality can be more nuanced. The pay-as-you-g%li%model provides flexibility, but costs can quickly escalate with increasing data volumes and more complex analytical needs. Organizations must carefully manage their usage and understand the cost structures of their IaaS providers t%li%avoid unexpected expenses. This financial unpredictability can be particularly challenging for businesses with tight budgets or those that lack sophisticated financial management capabilities.
The skills gap represents a significant barrier. Effective utilization of IaaS solutions often requires a high level of expertise in data science, analytics, and cloud technologies. However, there is a well-documented shortage of professionals with these skills, creating a bottleneck for organizations looking t%li%adopt and maximize the value of IaaS. Training and retaining skilled personnel is not only costly but als%li%time-consuming, which can slow down the pace of IaaS adoption and implementation.
Vendor lock-in is another concern that organizations must navigate. Relying heavily on a single IaaS provider can lead t%li%dependency issues, where switching providers becomes prohibitively difficult and costly. This lock-in can limit flexibility and innovation, as businesses may be constrained by the specific capabilities and limitations of their chosen provider.
Regulatory compliance and the increasing emphasis on data security are driving organizations towards IaaS solutions. With stringent data protection regulations such as GDPR and CCPA, businesses must ensure that their data handling practices are compliant. IaaS providers typically offer robust security features and compliance frameworks that help organizations mitigate risks associated with data breaches and non-compliance. This reassurance is crucial for businesses that handle sensitive data, as it allows them t%li%focus on leveraging insights while maintaining trust and integrity with their stakeholders.
Key Market Trends
The Global Insights-as-a-Service (IaaS) market is witnessing several transformative trends that are reshaping how businesses harness data and derive actionable insights t%li%drive growth and innovation. These trends reflect the evolving landscape of data analytics and the increasing demand for advanced analytics solutions that deliver real-time, industry-specific insights while ensuring data governance and privacy.
One prominent trend is the rise of predictive and prescriptive analytics. Organizations are increasingly leveraging predictive models t%li%forecast future trends and outcomes based on historical data, enabling them t%li%anticipate market shifts, identify emerging opportunities, and proactively address challenges. Prescriptive analytics takes this a step further by providing recommendations on the best course of action t%li%achieve desired outcomes, empowering businesses t%li%make informed decisions with confidence and agility.
Real-time analytics is als%li%gaining prominence as organizations seek t%li%stay agile and responsive in today's fast-paced environment. The ability t%li%access and analyze data in real time enables businesses t%li%seize opportunities as they arise, mitigate risks before they escalate, and adapt quickly t%li%changing market conditions. Insights-as-a-Service solutions that offer real-time data processing and visualization capabilities are in high demand, particularly in industries such as finance, e-commerce, and healthcare.
Another trend shaping the IaaS market is the convergence of data sources. With the proliferation of data from diverse sources such as social media, IoT devices, sensors, and external databases, organizations are recognizing the importance of integrating disparate data sources t%li%gain a comprehensive understanding of their operations and market dynamics. Insights-as-a-Service providers are responding t%li%this trend by offering solutions that support the convergence of structured and unstructured data, enabling organizations t%li%uncover hidden insights and drive more informed decision-making across the enterprise.
Data governance and privacy are als%li%top priorities for businesses in the IaaS market. With growing concerns around data privacy and regulatory compliance, organizations are placing greater emphasis on implementing robust data governance frameworks and security protocols t%li%ensure the confidentiality, integrity, and availability of sensitive information. Insights-as-a-Service providers are offering built-in compliance features and encryption capabilities t%li%help organizations comply with regulations such as GDPR, CCPA, and HIPAA.
Industry-specific insights are another key trend driving the IaaS market. Businesses are seeking insights that are tailored t%li%their specific industry verticals, as generic analytics solutions may not fully address their unique challenges and requirements. Insights-as-a-Service providers are developing industry-specific analytics solutions that leverage domain expertise and industry benchmarks t%li%deliver actionable insights. Whether it's predictive maintenance in manufacturing, patient outcomes analysis in healthcare, or customer churn prediction in telecommunications, industry-specific IaaS solutions are enabling organizations t%li%derive maximum value from their data and drive business growth.
The adoption of self-service analytics is gaining traction as organizations look t%li%empower business users with the tools and capabilities t%li%explore data and generate insights independently. Insights-as-a-Service platforms are incorporating intuitive interfaces, drag-and-drop functionality, and natural language processing capabilities t%li%make analytics more accessible t%li%non-technical users. By democratizing data access and analysis, self-service analytics fosters a culture of data-driven decision-making throughout the organization, driving innovation and agility.
Segmental Insights
End User Industry Insights
In 2023, the Banking, Financial Services, and Insurance (BFSI) segment emerged as the dominant force in the Global Insights-as-a-Service (IaaS) Market. This sector's ascendancy reflects its robust adoption of IaaS solutions t%li%gain deeper insights int%li%customer behavior, market trends, and risk management strategies. With the BFSI industry facing increasing competition, evolving regulatory requirements, and the need t%li%enhance operational efficiency, IaaS offers a powerful means t%li%extract actionable insights from vast datasets and drive informed decision-making processes. The dominance of the BFSI segment in the IaaS market is underscored by its reliance on data-driven strategies t%li%optimize financial performance, mitigate risks, and deliver personalized services t%li%customers. By leveraging IaaS solutions, banks, financial institutions, and insurance companies can unlock valuable insights from diverse data sources, including transaction records, customer interactions, and market trends. This enables them t%li%tailor products and services, detect fraudulent activities, and identify new revenue opportunities, ultimately enhancing customer satisfaction and maintaining competitive advantage in a dynamic market landscape.
Regional Insights
In 2023, Asia Pacific asserted its dominance by holding the largest market share in the Global Insights-as-a-Service (IaaS) Market. This regional ascendancy reflects Asia Pacific's rapid adoption of advanced analytics and cloud-based solutions across diverse industries. As organizations in the region increasingly prioritize data-driven decision-making and digital transformation initiatives, the demand for IaaS solutions has surged, driving significant market growth. Several factors contribute t%li%Asia Pacific's leadership in the IaaS market. Firstly, the region's burgeoning economies, such as China, India, and Southeast Asian countries, are experiencing rapid digitization and technological advancement. This digital transformation is driving the adoption of IaaS solutions as organizations seek t%li%harness the power of data analytics t%li%gain competitive insights, improve operational efficiency, and drive innovation across various sectors.
Key Market Players
- Accenture PLC
- Capgemini SA
- EMC Corporation
- Dell Inc..
- NTT DATA Group Corporation
- IBM Corporation
- Good Data Corporation
- Oracle Corporation
- Deloitte Touche Tohmatsu LLC
In this report, the Global Insights-as-a-Service Market has been segmented int%li%the following categories, in addition t%li%the industry trends which have als%li%been detailed below:
- Insights-as-a-Service Market, By Deployment Model:
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Insights-as-a-Service Market, By Organization Size:
- Large Enterprises
- Small and Medium Enterprises
- Insights-as-a-Service Market, By Application:
- Revenue Cycle Management
- Customer Life Cycle/ Relationship Management
- Category Management
- Branding & Marketing Insights
- Supply Chain Management
- Others
- Insights-as-a-Service Market, By End User Industry:
- BFSI
- IT & Telecom
- Healthcare
- Retail
- Energy
- Other
- Insights-as-a-Service Market, By Region:
- North America
§ Canada
§ Mexico
- Europe
§ United Kingdom
§ Italy
§ Germany
§ Spain
§ Netherlands
§ Belgium
- Asia-Pacific
§ India
§ Japan
§ Australia
§ South Korea
§ Thailand
§ Malaysia
- South America
§ Argentina
§ Colombia
§ Chile
- Middle East & Africa
§ Saudi Arabia
§ UAE
§ Turkey
Competitive Landscape
Company Profiles: Detailed analysis of the major companies presents in the Global Insights-as-a-Service Market.
Available Customizations:
Global Insights-as-a-Service Market report with the given market data, Tech Sci Research offers customizations according t%li%a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up t%li%five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1.Markets Covered
1.2.2.Years Considered for Study
1.2.3.Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1.Secondary Research
2.5.2.Primary Research
2.6. Approach for the Market Study
2.6.1.The Bottom-Up Approach
2.6.2.The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1.Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON GLOBAL INSIGHTS-AS-A-SERVICE MARKET
5. VOICE OF CUSTOMER
6. GLOBAL INSIGHTS-AS-A-SERVICE MARKET OVERVIEW
7. GLOBAL INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud)
7.2.2. By Organization Size (Large Enterprises, Small and Medium Enterprises)
7.2.3. By Application (Revenue Cycle Management, Customer Life Cycle/ Relationship Management, Category Management, Branding & Marketing Insights, Supply Chain Management, Others)
7.2.4. By End User Industry (BFSI, IT & Telecom, Retail, Healthcare, Energy, Other)
7.2.5. By Region
7.3. By Company (2023)
7.4. Market Map
8. NORTH AMERICA INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Model
8.2.2. By Organization Size
8.2.3. By Application
8.2.4. By End User Industry
8.2.5. By Country
8.3. North America: Country Analysis
8.3.1. United States Insights-as-a-Service Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Deployment Model
8.3.1.2.2. By Organization Size
8.3.1.2.3. By Application
8.3.1.2.4. By End User Industry
8.3.2. Canada Insights-as-a-Service Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Deployment Model
8.3.2.2.2. By Organization Size
8.3.2.2.3. By Application
8.3.2.2.4. By End User Industry
8.3.3. Mexico Insights-as-a-Service Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Deployment Model
8.3.3.2.2. By Organization Size
8.3.3.2.3. By Application
8.3.3.2.4. By End User Industry
9. EUROPE INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Model
9.2.2. By Organization Size
9.2.3. By Application
9.2.4. By End User Industry
9.2.5. By Country
9.3. Europe: Country Analysis
9.3.1. Germany Insights-as-a-Service Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Deployment Model
9.3.1.2.2. By Organization Size
9.3.1.2.3. By Application
9.3.1.2.4. By End User Industry
9.3.2. France Insights-as-a-Service Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Deployment Model
9.3.2.2.2. By Organization Size
9.3.2.2.3. By Application
9.3.2.2.4. By End User Industry
9.3.3. United Kingdom Insights-as-a-Service Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Deployment Model
9.3.3.2.2. By Organization Size
9.3.3.2.3. By Application
9.3.3.2.4. By End User Industry
9.3.4. Italy Insights-as-a-Service Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Deployment Model
9.3.4.2.2. By Organization Size
9.3.4.2.3. By Application
9.3.4.2.4. By End User Industry
9.3.5. Spain Insights-as-a-Service Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Deployment Model
9.3.5.2.2. By Organization Size
9.3.5.2.3. By Application
9.3.5.2.4. By End User Industry
9.3.6. Netherlands Insights-as-a-Service Market Outlook
9.3.6.1. Market Size & Forecast
9.3.6.1.1. By Value
9.3.6.2. Market Share & Forecast
9.3.6.2.1. By Deployment Model
9.3.6.2.2. By Organization Size
9.3.6.2.3. By Application
9.3.6.2.4. By End User Industry
9.3.7. Belgium Insights-as-a-Service Market Outlook
9.3.7.1. Market Size & Forecast
9.3.7.1.1. By Value
9.3.7.2. Market Share & Forecast
9.3.7.2.1. By Deployment Model
9.3.7.2.2. By Organization Size
9.3.7.2.3. By Application
9.3.7.2.4. By End User Industry
10. SOUTH AMERICA INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Model
10.2.2. By Organization Size
10.2.3. By Application
10.2.4. By End User Industry
10.2.5. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Insights-as-a-Service Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Deployment Model
10.3.1.2.2. By Organization Size
10.3.1.2.3. By Application
10.3.1.2.4. By End User Industry
10.3.2. Colombia Insights-as-a-Service Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Deployment Model
10.3.2.2.2. By Organization Size
10.3.2.2.3. By Application
10.3.2.2.4. By End User Industry
10.3.3. Argentina Insights-as-a-Service Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Deployment Model
10.3.3.2.2. By Organization Size
10.3.3.2.3. By Application
10.3.3.2.4. By End User Industry
10.3.4. Chile Insights-as-a-Service Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Deployment Model
10.3.4.2.2. By Organization Size
10.3.4.2.3. By Application
10.3.4.2.4. By End User Industry
11. MIDDLE EAST & AFRICA INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Model
11.2.2. By Organization Size
11.2.3. By Application
11.2.4. By End User Industry
11.2.5. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. Saudi Arabia Insights-as-a-Service Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Deployment Model
11.3.1.2.2. By Organization Size
11.3.1.2.3. By Application
11.3.1.2.4. By End User Industry
11.3.2. UAE Insights-as-a-Service Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Deployment Model
11.3.2.2.2. By Organization Size
11.3.2.2.3. By Application
11.3.2.2.4. By End User Industry
11.3.3. South Africa Insights-as-a-Service Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Deployment Model
11.3.3.2.2. By Organization Size
11.3.3.2.3. By Application
11.3.3.2.4. By End User Industry
11.3.4. Turkey Insights-as-a-Service Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Deployment Model
11.3.4.2.2. By Organization Size
11.3.4.2.3. By Application
11.3.4.2.4. By End User Industry
12. ASIA PACIFIC INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
12.1. Market Size & Forecast
12.1.1. By Value
12.2. Market Share & Forecast
12.2.1. By Deployment Model
12.2.2. By Organization Size
12.2.3. By Application
12.2.4. By End User Industry
12.2.5. By Country
12.3. Asia-Pacific: Country Analysis
12.3.1. China Insights-as-a-Service Market Outlook
12.3.1.1. Market Size & Forecast
12.3.1.1.1. By Value
12.3.1.2. Market Share & Forecast
12.3.1.2.1. By Deployment Model
12.3.1.2.2. By Organization Size
12.3.1.2.3. By Application
12.3.1.2.4. By End User Industry
12.3.2. India Insights-as-a-Service Market Outlook
12.3.2.1. Market Size & Forecast
12.3.2.1.1. By Value
12.3.2.2. Market Share & Forecast
12.3.2.2.1. By Deployment Model
12.3.2.2.2. By Organization Size
12.3.2.2.3. By Application
12.3.2.2.4. By End User Industry
12.3.3. Japan Insights-as-a-Service Market Outlook
12.3.3.1. Market Size & Forecast
12.3.3.1.1. By Value
12.3.3.2. Market Share & Forecast
12.3.3.2.1. By Deployment Model
12.3.3.2.2. By Organization Size
12.3.3.2.3. By Application
12.3.3.2.4. By End User Industry
12.3.4. South Korea Insights-as-a-Service Market Outlook
12.3.4.1. Market Size & Forecast
12.3.4.1.1. By Value
12.3.4.2. Market Share & Forecast
12.3.4.2.1. By Deployment Model
12.3.4.2.2. By Organization Size
12.3.4.2.3. By Application
12.3.4.2.4. By End User Industry
12.3.5. Australia Insights-as-a-Service Market Outlook
12.3.5.1. Market Size & Forecast
12.3.5.1.1. By Value
12.3.5.2. Market Share & Forecast
12.3.5.2.1. By Deployment Model
12.3.5.2.2. By Organization Size
12.3.5.2.3. By Application
12.3.5.2.4. By End User Industry
12.3.6. Thailand Insights-as-a-Service Market Outlook
12.3.6.1. Market Size & Forecast
12.3.6.1.1. By Value
12.3.6.2. Market Share & Forecast
12.3.6.2.1. By Deployment Model
12.3.6.2.2. By Organization Size
12.3.6.2.3. By Application
12.3.6.2.4. By End User Industry
12.3.7. Malaysia Insights-as-a-Service Market Outlook
12.3.7.1. Market Size & Forecast
12.3.7.1.1. By Value
12.3.7.2. Market Share & Forecast
12.3.7.2.1. By Deployment Model
12.3.7.2.2. By Organization Size
12.3.7.2.3. By Application
12.3.7.2.4. By End User Industry
13. MARKET DYNAMICS
13.1. Drivers
13.2. Challenges
14. MARKET TRENDS AND DEVELOPMENTS
15. COMPANY PROFILES
15.1. Accenture PLC
15.1.1. Business Overview
15.1.2. Key Revenue and Financials
15.1.3. Recent Developments
15.1.4. Key Personnel/Key Contact Person
15.1.5. Key Product/Services Offered
15.2. Capgemini SA
15.2.1. Business Overview
15.2.2. Key Revenue and Financials
15.2.3. Recent Developments
15.2.4. Key Personnel/Key Contact Person
15.2.5. Key Product/Services Offered
15.3. EMC Corporation
15.3.1. Business Overview
15.3.2. Key Revenue and Financials
15.3.3. Recent Developments
15.3.4. Key Personnel/Key Contact Person
15.3.5. Key Product/Services Offered
15.4. Dell Inc.
15.4.1. Business Overview
15.4.2. Key Revenue and Financials
15.4.3. Recent Developments
15.4.4. Key Personnel/Key Contact Person
15.4.5. Key Product/Services Offered
15.5. NTT DATA Group Corporation
15.5.1. Business Overview
15.5.2. Key Revenue and Financials
15.5.3. Recent Developments
15.5.4. Key Personnel/Key Contact Person
15.5.5. Key Product/Services Offered
15.6. IBM Corporation
15.6.1. Business Overview
15.6.2. Key Revenue and Financials
15.6.3. Recent Developments
15.6.4. Key Personnel/Key Contact Person
15.6.5. Key Product/Services Offered
15.7. Good Data Corporation
15.7.1. Business Overview
15.7.2. Key Revenue and Financials
15.7.3. Recent Developments
15.7.4. Key Personnel/Key Contact Person
15.7.5. Key Product/Services Offered
15.8. Oracle Corporation
15.8.1. Business Overview
15.8.2. Key Revenue and Financials
15.8.3. Recent Developments
15.8.4. Key Personnel/Key Contact Person
15.8.5. Key Product/Services Offered
15.9. Deloitte Touche Tohmatsu LLC
15.9.1. Business Overview
15.9.2. Key Revenue and Financials
15.9.3. Recent Developments
15.9.4. Key Personnel/Key Contact Person
15.9.5. Key Product/Services Offered
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1.Markets Covered
1.2.2.Years Considered for Study
1.2.3.Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1.Secondary Research
2.5.2.Primary Research
2.6. Approach for the Market Study
2.6.1.The Bottom-Up Approach
2.6.2.The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1.Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON GLOBAL INSIGHTS-AS-A-SERVICE MARKET
5. VOICE OF CUSTOMER
6. GLOBAL INSIGHTS-AS-A-SERVICE MARKET OVERVIEW
7. GLOBAL INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud)
7.2.2. By Organization Size (Large Enterprises, Small and Medium Enterprises)
7.2.3. By Application (Revenue Cycle Management, Customer Life Cycle/ Relationship Management, Category Management, Branding & Marketing Insights, Supply Chain Management, Others)
7.2.4. By End User Industry (BFSI, IT & Telecom, Retail, Healthcare, Energy, Other)
7.2.5. By Region
7.3. By Company (2023)
7.4. Market Map
8. NORTH AMERICA INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Model
8.2.2. By Organization Size
8.2.3. By Application
8.2.4. By End User Industry
8.2.5. By Country
8.3. North America: Country Analysis
8.3.1. United States Insights-as-a-Service Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Deployment Model
8.3.1.2.2. By Organization Size
8.3.1.2.3. By Application
8.3.1.2.4. By End User Industry
8.3.2. Canada Insights-as-a-Service Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Deployment Model
8.3.2.2.2. By Organization Size
8.3.2.2.3. By Application
8.3.2.2.4. By End User Industry
8.3.3. Mexico Insights-as-a-Service Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Deployment Model
8.3.3.2.2. By Organization Size
8.3.3.2.3. By Application
8.3.3.2.4. By End User Industry
9. EUROPE INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Model
9.2.2. By Organization Size
9.2.3. By Application
9.2.4. By End User Industry
9.2.5. By Country
9.3. Europe: Country Analysis
9.3.1. Germany Insights-as-a-Service Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Deployment Model
9.3.1.2.2. By Organization Size
9.3.1.2.3. By Application
9.3.1.2.4. By End User Industry
9.3.2. France Insights-as-a-Service Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Deployment Model
9.3.2.2.2. By Organization Size
9.3.2.2.3. By Application
9.3.2.2.4. By End User Industry
9.3.3. United Kingdom Insights-as-a-Service Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Deployment Model
9.3.3.2.2. By Organization Size
9.3.3.2.3. By Application
9.3.3.2.4. By End User Industry
9.3.4. Italy Insights-as-a-Service Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Deployment Model
9.3.4.2.2. By Organization Size
9.3.4.2.3. By Application
9.3.4.2.4. By End User Industry
9.3.5. Spain Insights-as-a-Service Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Deployment Model
9.3.5.2.2. By Organization Size
9.3.5.2.3. By Application
9.3.5.2.4. By End User Industry
9.3.6. Netherlands Insights-as-a-Service Market Outlook
9.3.6.1. Market Size & Forecast
9.3.6.1.1. By Value
9.3.6.2. Market Share & Forecast
9.3.6.2.1. By Deployment Model
9.3.6.2.2. By Organization Size
9.3.6.2.3. By Application
9.3.6.2.4. By End User Industry
9.3.7. Belgium Insights-as-a-Service Market Outlook
9.3.7.1. Market Size & Forecast
9.3.7.1.1. By Value
9.3.7.2. Market Share & Forecast
9.3.7.2.1. By Deployment Model
9.3.7.2.2. By Organization Size
9.3.7.2.3. By Application
9.3.7.2.4. By End User Industry
10. SOUTH AMERICA INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Model
10.2.2. By Organization Size
10.2.3. By Application
10.2.4. By End User Industry
10.2.5. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Insights-as-a-Service Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Deployment Model
10.3.1.2.2. By Organization Size
10.3.1.2.3. By Application
10.3.1.2.4. By End User Industry
10.3.2. Colombia Insights-as-a-Service Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Deployment Model
10.3.2.2.2. By Organization Size
10.3.2.2.3. By Application
10.3.2.2.4. By End User Industry
10.3.3. Argentina Insights-as-a-Service Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Deployment Model
10.3.3.2.2. By Organization Size
10.3.3.2.3. By Application
10.3.3.2.4. By End User Industry
10.3.4. Chile Insights-as-a-Service Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Deployment Model
10.3.4.2.2. By Organization Size
10.3.4.2.3. By Application
10.3.4.2.4. By End User Industry
11. MIDDLE EAST & AFRICA INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Model
11.2.2. By Organization Size
11.2.3. By Application
11.2.4. By End User Industry
11.2.5. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. Saudi Arabia Insights-as-a-Service Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Deployment Model
11.3.1.2.2. By Organization Size
11.3.1.2.3. By Application
11.3.1.2.4. By End User Industry
11.3.2. UAE Insights-as-a-Service Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Deployment Model
11.3.2.2.2. By Organization Size
11.3.2.2.3. By Application
11.3.2.2.4. By End User Industry
11.3.3. South Africa Insights-as-a-Service Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Deployment Model
11.3.3.2.2. By Organization Size
11.3.3.2.3. By Application
11.3.3.2.4. By End User Industry
11.3.4. Turkey Insights-as-a-Service Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Deployment Model
11.3.4.2.2. By Organization Size
11.3.4.2.3. By Application
11.3.4.2.4. By End User Industry
12. ASIA PACIFIC INSIGHTS-AS-A-SERVICE MARKET OUTLOOK
12.1. Market Size & Forecast
12.1.1. By Value
12.2. Market Share & Forecast
12.2.1. By Deployment Model
12.2.2. By Organization Size
12.2.3. By Application
12.2.4. By End User Industry
12.2.5. By Country
12.3. Asia-Pacific: Country Analysis
12.3.1. China Insights-as-a-Service Market Outlook
12.3.1.1. Market Size & Forecast
12.3.1.1.1. By Value
12.3.1.2. Market Share & Forecast
12.3.1.2.1. By Deployment Model
12.3.1.2.2. By Organization Size
12.3.1.2.3. By Application
12.3.1.2.4. By End User Industry
12.3.2. India Insights-as-a-Service Market Outlook
12.3.2.1. Market Size & Forecast
12.3.2.1.1. By Value
12.3.2.2. Market Share & Forecast
12.3.2.2.1. By Deployment Model
12.3.2.2.2. By Organization Size
12.3.2.2.3. By Application
12.3.2.2.4. By End User Industry
12.3.3. Japan Insights-as-a-Service Market Outlook
12.3.3.1. Market Size & Forecast
12.3.3.1.1. By Value
12.3.3.2. Market Share & Forecast
12.3.3.2.1. By Deployment Model
12.3.3.2.2. By Organization Size
12.3.3.2.3. By Application
12.3.3.2.4. By End User Industry
12.3.4. South Korea Insights-as-a-Service Market Outlook
12.3.4.1. Market Size & Forecast
12.3.4.1.1. By Value
12.3.4.2. Market Share & Forecast
12.3.4.2.1. By Deployment Model
12.3.4.2.2. By Organization Size
12.3.4.2.3. By Application
12.3.4.2.4. By End User Industry
12.3.5. Australia Insights-as-a-Service Market Outlook
12.3.5.1. Market Size & Forecast
12.3.5.1.1. By Value
12.3.5.2. Market Share & Forecast
12.3.5.2.1. By Deployment Model
12.3.5.2.2. By Organization Size
12.3.5.2.3. By Application
12.3.5.2.4. By End User Industry
12.3.6. Thailand Insights-as-a-Service Market Outlook
12.3.6.1. Market Size & Forecast
12.3.6.1.1. By Value
12.3.6.2. Market Share & Forecast
12.3.6.2.1. By Deployment Model
12.3.6.2.2. By Organization Size
12.3.6.2.3. By Application
12.3.6.2.4. By End User Industry
12.3.7. Malaysia Insights-as-a-Service Market Outlook
12.3.7.1. Market Size & Forecast
12.3.7.1.1. By Value
12.3.7.2. Market Share & Forecast
12.3.7.2.1. By Deployment Model
12.3.7.2.2. By Organization Size
12.3.7.2.3. By Application
12.3.7.2.4. By End User Industry
13. MARKET DYNAMICS
13.1. Drivers
13.2. Challenges
14. MARKET TRENDS AND DEVELOPMENTS
15. COMPANY PROFILES
15.1. Accenture PLC
15.1.1. Business Overview
15.1.2. Key Revenue and Financials
15.1.3. Recent Developments
15.1.4. Key Personnel/Key Contact Person
15.1.5. Key Product/Services Offered
15.2. Capgemini SA
15.2.1. Business Overview
15.2.2. Key Revenue and Financials
15.2.3. Recent Developments
15.2.4. Key Personnel/Key Contact Person
15.2.5. Key Product/Services Offered
15.3. EMC Corporation
15.3.1. Business Overview
15.3.2. Key Revenue and Financials
15.3.3. Recent Developments
15.3.4. Key Personnel/Key Contact Person
15.3.5. Key Product/Services Offered
15.4. Dell Inc.
15.4.1. Business Overview
15.4.2. Key Revenue and Financials
15.4.3. Recent Developments
15.4.4. Key Personnel/Key Contact Person
15.4.5. Key Product/Services Offered
15.5. NTT DATA Group Corporation
15.5.1. Business Overview
15.5.2. Key Revenue and Financials
15.5.3. Recent Developments
15.5.4. Key Personnel/Key Contact Person
15.5.5. Key Product/Services Offered
15.6. IBM Corporation
15.6.1. Business Overview
15.6.2. Key Revenue and Financials
15.6.3. Recent Developments
15.6.4. Key Personnel/Key Contact Person
15.6.5. Key Product/Services Offered
15.7. Good Data Corporation
15.7.1. Business Overview
15.7.2. Key Revenue and Financials
15.7.3. Recent Developments
15.7.4. Key Personnel/Key Contact Person
15.7.5. Key Product/Services Offered
15.8. Oracle Corporation
15.8.1. Business Overview
15.8.2. Key Revenue and Financials
15.8.3. Recent Developments
15.8.4. Key Personnel/Key Contact Person
15.8.5. Key Product/Services Offered
15.9. Deloitte Touche Tohmatsu LLC
15.9.1. Business Overview
15.9.2. Key Revenue and Financials
15.9.3. Recent Developments
15.9.4. Key Personnel/Key Contact Person
15.9.5. Key Product/Services Offered
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
