The global insights-as-a-service market size was estimated at USD 5.82 billion in 2024 and is projected to grow at a CAGR of 21.9% from 2025 to 2030. The market growth is primarily driven by the increasing demand for data-driven decision-making across industries. Organizations leverage advanced analytics, artificial intelligence (AI), and machine learning (ML) technologies to extract actionable insights from large volumes of structured and unstructured data. The growing adoption of cloud-based platforms has enabled businesses to access real-time insights without requiring extensive infrastructure investments. In addition, the rise of digital transformation initiatives and the need for personalized customer experiences and operational efficiency have accelerated the adoption of IaaS solutions. Regulatory compliance requirements and the need for a competitive advantage are key factors contributing to market expansion.
The increasing demand for data-driven decision-making drives the growth of the Insights-as-a-Service (IaaS) industry. Organizations leverage insights from vast amounts of structured and unstructured data to inform strategic decisions, optimize processes, and anticipate future trends. This approach has become essential in a competitive landscape where data-driven strategies are critical for achieving sustainable growth and maintaining market relevance. Integrating advanced analytics, AI, and ML is revolutionizing how businesses process and analyze data. These technologies enable the identification of intricate patterns, automate the generation of insights, and enhance predictive capabilities. As a result, organizations can make informed decisions with greater precision and efficiency.
Cloud-based platforms have further facilitated the adoption of IaaS solutions by providing scalability, flexibility, and cost-efficiency. These platforms eliminate the need for substantial investments in on-premise infrastructure, allowing businesses of all sizes to access advanced analytics capabilities. The ability to obtain real-time insights from anywhere has significantly increased the attractiveness of cloud-enabled solutions. The rise of digital transformation initiatives across industries has amplified the need for insights to streamline operations, improve customer engagement, and foster innovation. In an increasingly digital economy, businesses rely on IaaS solutions to adapt to evolving market dynamics quickly and effectively.
Delivering personalized customer experiences has also become a major driver of IaaS adoption. Businesses are utilizing these solutions to analyze customer behavior, preferences, and feedback in real time, enabling them to tailor offerings and enhance satisfaction in a rapidly changing consumer landscape. Regulatory compliance requirements and the pursuit of competitive advantages are additional factors fueling the market's growth. Robust data analytics capabilities are essential for ensuring compliance with industry regulations, while insights-driven strategies help organizations identify new opportunities and mitigate potential risks.
Based on type, the descriptive insight segment led the market with the largest revenue share of 45.19% in 2024. Descriptive insights dominate the market because they serve as the foundation for data-driven decision-making. These insights focus on summarizing historical and current data to identify trends, patterns, and anomalies, enabling businesses to understand what has happened within their operations. The accessibility and ease of implementation of descriptive analytics make it widely adopted across industries, as it requires relatively minimal technical expertise compared to advanced analytics types. Organizations often rely on descriptive insights to establish baseline knowledge and support routine reporting, which is essential for operational efficiency and strategic planning.
The software segment is expected to grow at a significant CAGR during the forecast period due to its advanced capabilities in recommending actionable strategies and optimizing decision-making processes. These insights leverage cutting-edge technologies such as machine learning, artificial intelligence, and optimization algorithms to provide recommendations based on predictive models and real-time data. The growing emphasis on proactive decision-making and the need to address complex business challenges have accelerated the demand for prescriptive analytics. As industries increasingly seek to enhance operational efficiency, reduce costs, and deliver personalized experiences, the adoption of prescriptive insights is expanding rapidly, positioning it as a critical enabler of competitive advantage in a data-driven economy.
Based on deployment, the public cloud segment led the market with the largest revenue share of 50.44% in 2024. The public cloud dominates the deployment segment of the market due to its scalability, cost-efficiency, and ease of access. Businesses prefer public cloud platforms because they eliminate the need for extensive upfront investments in infrastructure while providing on-demand access to advanced analytics tools and computing resources. The widespread availability of public cloud services from leading providers, coupled with their robust data security measures and continuous innovation, has further cemented their position as the preferred deployment model. Public cloud solutions also enable organizations to quickly deploy insights-driven applications and collaborate across geographically dispersed teams, making it a dominant force in the market.
The hybrid cloud segment is expected to grow at a significant CAGR during the forecast period, due to its ability to combine the advantages of both public and private cloud environments. Hybrid cloud solutions offer organizations the flexibility to manage sensitive data in private infrastructures while leveraging the scalability and cost benefits of public cloud platforms for less critical workloads. This dual approach appeals to businesses that operate in regulated industries or handle highly sensitive information, as it ensures compliance and data security without compromising on efficiency. Furthermore, the increasing adoption of digital transformation strategies and the need for seamless integration across diverse IT environments are driving the rapid growth of hybrid cloud deployments in the market.
Based on enterprise size, the large enterprise segment accounted for the largest market share in 2024. Large enterprises dominate the enterprise size segment of the market because of their extensive resources, complex operations, and greater data generation. These organizations often handle vast volumes of structured and unstructured data across multiple departments, requiring advanced analytics solutions to derive actionable insights. The need for robust decision-making tools to manage global operations, maintain competitive advantages, and optimize processes drives large enterprises to adopt Insights-as-a-Service extensively. In addition, their ability to invest heavily in sophisticated analytics technologies and integrate them seamlessly into existing systems ensures their dominance in the market.
The small & medium enterprise (SME) segment is expected to grow at the fastest CAGR during the forecast period, due to the growing accessibility and affordability of cloud-based analytics solutions. SMEs increasingly recognize the value of leveraging data insights to enhance competitiveness, improve customer engagement, and drive operational efficiency. The availability of flexible subscription-based pricing models and scalable solutions tailored to their specific needs enables SMEs to adopt Insights-as-a-Service without significant capital investment. Furthermore, as digital transformation becomes a priority for SMEs, the demand for insights-driven decision-making tools is rapidly expanding, fueling their accelerated growth in this market segment.
Based on end use, the BFSI segment accounted for the largest revenue share in 2024. The BFSI sector dominates the end-use segment of the market due to its critical reliance on data for decision-making, risk management, and customer engagement. Financial institutions generate and process vast volumes of data daily, ranging from transaction records to market trends and customer profiles. Insights-as-a-Service solutions enable these organizations to analyze this data in real-time, identify fraud, ensure regulatory compliance, and optimize investment strategies. Moreover, the competitive nature of the BFSI sector drives the need for advanced analytics to enhance customer personalization, improve operational efficiency, and innovate financial products, solidifying its dominance in the market.
The healthcare segment is expected to grow at a significant CAGR during the forecast period due to the increasing need for data-driven decision-making in patient care, operational management, and research. The adoption of electronic health records (EHRs), wearable health devices, and telemedicine platforms has led to an exponential increase in healthcare data. Insights-as-a-service solutions help healthcare providers analyze patient data for personalized treatment plans, predict disease outbreaks, and optimize resource allocation. In addition, the rising focus on improving patient outcomes, reducing costs, and adhering to stringent regulatory requirements is driving the rapid adoption of advanced analytics tools in the healthcare industry, making it the fastest-growing end-use segment in this market.
North America dominated the insights-as-a-service market with the largest revenue share of 38.55% in 2024. North America is witnessing a strong adoption of Insights-as-a-Service solutions due to the region's advanced technological infrastructure and high demand for data-driven decision-making across sectors. The presence of leading technology providers and a mature analytics ecosystem further fuels market growth.
The insights-as-a-service market in the U.S. is expected to grow at a significant CAGR from 2025 to 2030. The U.S. market is driven by the proliferation of cloud-based solutions and the growing adoption of artificial intelligence (AI) and machine learning (ML) in analytics. U.S. companies prioritize real-time insights to maintain competitive advantages and optimize operations.
The insights-as-a-service market in Europe is anticipated to grow at a significant CAGR of 20% from 2025 to 2030. Europe is experiencing steady growth in the market, driven by increasing digital transformation initiatives and stringent regulatory requirements such as GDPR, which necessitate robust data analytics for compliance and security.
The UK insights-as-a-service market is expected to grow at a rapid CAGR during the forecast period. Within Europe, the UK has adopted insights-as-a-service due to its strong focus on financial services, retail, and healthcare analytics. The need for customer personalization and operational efficiency drives the market forward.
The insights-as-a-service market in Germany held a substantial market share in 2024. Germany demonstrates growing interest in analytics solutions, particularly in manufacturing and automotive sectors, to enhance productivity and innovation through insights derived from real-time operational data.
The insights-as-a-service market in the Asia Pacific is anticipated to grow at a significant CAGR of 23% from 2025 to 2030. Asia Pacific is the fastest-growing region for Insights-as-a-Service, driven by rapid digitalization, rising adoption of cloud technologies, and expanding industries such as e-commerce, BFSI, and healthcare. The region's diverse economies offer significant opportunities for analytics providers.
The China insights-as-a-service market held a substantial share in 2024. In China, the market is propelled by large-scale digital transformation initiatives and government support for smart city projects. Retail, manufacturing, and technology industries drive demand for insights to improve efficiency and innovation.
The insights-as-a-service market in Japan held a substantial share in 2024. Japan is focusing on leveraging analytics solutions in advanced manufacturing, automotive, and healthcare industries. The country's emphasis on innovation and automation accelerates the adoption of Insights-as-a-Service solutions.
The India insights-as-a-service market is expanding rapidly. India is experiencing rapid growth due to the rise of SMEs embracing cloud-based analytics solutions and the expanding digital economy. The IT and e-commerce sectors are key drivers, with organizations prioritizing data insights to enhance customer engagement and operational efficiency.
Key players operating in the insights-as-a-service industry include Accenture, Capgemini SE, Dell Inc., Good Data Corporation, Microsoft, IBM Corporation, Infosys, NTT DATA Group Corporation, Oracle Corporation, and TATA Consultancy Services Limited. The company’s focus on various strategic initiatives, including new product development, partnerships & collaborations, and agreements to gain a competitive advantage over their rivals. The following are some instances of such initiatives.
In February 2024, Accenture announced its agreement to acquire GemSeek, a prominent provider of customer experience analytics that enables global businesses to gain a deeper understanding of their customers through analytics, insights, and AI-driven predictive models. This acquisition emphasizes Accenture Song's continued investment in data and AI capabilities, reinforcing its position as the world's largest technology-enabled creative group. The move aims to support clients in driving business growth and maintaining customer relevance.
In October 2023, GoodData Corporation introduced FlexQuery Analytics Lake, a new data platform that integrates generative AI capabilities while unifying traditionally separate functionalities into a single environment. The platform is designed to streamline and accelerate the development and analysis of artificial intelligence (AI), business intelligence (BI), and machine learning (ML) applications. By consolidating an organization's diverse data assets in one centralized location, FlexQuery Analytics Lake enables seamless access and operationalization to support AI, ML, and BI workloads. In addition, the platform includes advanced generative AI features, such as a virtual assistant that provides data summaries and allows users to query their data, enhancing discovery, development, and decision-making processes. This offering is complemented by GoodData's composable BI platform, further advancing the platform's utility and efficiency.
The following are the leading companies in the insights-as-a-service market. These companies collectively hold the largest market share and dictate industry trends.
Report Attribute |
Details |
Market value size in 2025 |
USD 6.99 billion |
Revenue forecast in 2030 |
USD 18.85 billion |
Growth rate |
CAGR of 21.9% from 2025 to 2030 |
Base year for estimation |
2024 |
Historical data |
2018 - 2023 |
Forecast period |
2025 - 2030 |
Quantitative units |
Revenue in USD billion/million, and CAGR from 2025 to 2030 |
Report coverage |
Revenue forecast, company share, competitive landscape, growth factors, and trends |
Segments covered |
Type, deployment, enterprise size, end-use, region |
Regional scope |
North America; Europe; Asia Pacific; Latin America; MEA |
Country scope |
U.S.; Canada; Mexico UK; Germany; France; China; India; Japan; Australia; South Korea; Brazil; UAE; Saudi Arabia; and South Africa |
Key companies profiled |
Accenture; Capgemini SE; Dell Inc.; Good Data Corporation; Microsoft; IBM Corporation; Infosys; NTT DATA Group Corporation; Oracle Corporation; and TATA Consultancy Services Limited |
Customization scope |
Free report customization (equivalent up to 8 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope. |
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global insights-as-a-service market report based on type, deployment, enterprise size, end-use, and region:
Type Outlook (Revenue, USD Billion, 2018 - 2030)
Prescriptive Insights
Predictive Insights
Descriptive Insights
Deployment Outlook (Revenue, USD Billion, 2018 - 2030)
Private Cloud
Public Cloud
Hybrid Cloud
Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)
Large Enterprises
Small and Medium Enterprises (SMEs)
End-use Outlook (Revenue, USD Billion, 2018 - 2030)
BFSI
Healthcare
Retail & E-commerce
IT & Telecom
Media & Entertainment
Manufacturing
Government
Others
Regional Outlook (Revenue, USD Billion, 2018 - 2030)
North America
U.S.
Canada
Mexico
Europe
Germany
UK
France
Asia Pacific
China
India
Japan
South Korea
Australia
Latin America
Brazil
Middle East & Africa
UAE
Saudi Arabia
South Africa
b. The global insights-as-a-service market size was estimated at USD 5.82 billion in 2024 and is expected to reach USD 6.99 billion in 2025
b. The global insights-as-a-service market is expected to grow at a compound annual growth rate of 21.9% from 2025 to 2030 to reach USD 18.85 billion by 2030
b. The North America dominated the insights-as-a-service market with a share of over 38% in 2024. North America is witnessing a strong adoption of Insights-as-a-Service solutions due to the region's advanced technological infrastructure and high demand for data-driven decision-making across sectors. The presence of leading technology providers and a mature analytics ecosystem further fuels market growth.
b. Some key players operating in the insights-as-a-service market include Accenture, Capgemini SE, Dell Inc., Good Data Corporation, Microsoft, IBM Corporation, Infosys, NTT DATA Group Corporation, Oracle Corporation, and TATA Consultancy Services Limited.
b. The growth of the Insights-as-a-Service (IaaS) market is primarily driven by the increasing demand for data-driven decision-making across industries. Organizations leverage advanced analytics, artificial intelligence (AI), and machine learning (ML) technologies to extract actionable insights from large volumes of structured and unstructured data. The growing adoption of cloud-based platforms has enabled businesses to access real-time insights without requiring extensive infrastructure investments.
NEED A CUSTOM REPORT?
We can customize every report - free of charge - including purchasing stand-alone sections or country-level reports, as well as offer affordable discounts for start-ups & universities. Contact us now
We are GDPR and CCPA compliant! Your transaction & personal information is safe and secure. For more details, please read our privacy policy.
"The quality of research they have done for us has been excellent."