Augmented Analytics Market – Trends Forecast Till 2031

Market Snapshot

Market Overview

The global Augmented Analytics Market size was estimated at USD 8,400 million in 2024 and is projected to reach USD 46,009.8 million in 2031 at a CAGR of 27.5 % during the forecast period 2025-2031.

Augmented analytics refers to the integration of machine learning (ML) and artificial intelligence (AI) capabilities into data analytics processes, enabling automation, data-driven insights, and more efficient decision-making. It allows users to automatically analyze data, identify patterns, and generate recommendations without requiring extensive technical knowledge. By incorporating AI-driven insights into data exploration and reporting, augmented analytics improves the overall analytics process and empowers organizations to make informed decisions faster and more accurately.

The scope of the augmented analytics market includes applications in various industries such as healthcare, retail, finance, manufacturing, and telecommunications. This technology is used to enhance data analysis, automate reporting, and improve forecasting accuracy. Additionally, it supports the growing demand for real-time analytics, enabling businesses to adapt quickly to market changes and customer needs. The market is expanding rapidly due to the increasing volume of data generated by businesses and the need for more sophisticated tools to manage and analyze that data effectively.

Key trends in the augmented analytics market include the growing adoption of AI and machine learning technologies, the rise of self-service analytics, and the integration of natural language processing (NLP) capabilities. As more organizations seek data-driven insights, there is an increasing shift toward cloud-based solutions that offer scalability, flexibility, and cost-effectiveness. Furthermore, the demand for augmented analytics tools that support real-time decision-making and simplify the data analysis process is on the rise, with more businesses incorporating these tools into their digital transformation strategies.

Several factors are driving the growth of the augmented analytics market. The increasing need for businesses to process and analyse vast amounts of data is a significant driver, as traditional methods are no longer sufficient to handle the complexity and volume of modern data. Additionally, the rise of big data, the growing demand for data-driven decision-making, and the widespread adoption of AI and machine learning are further fuelling the market. As organizations seek to improve operational efficiency, enhance customer experiences, and gain a competitive edge, augmented analytics is emerging as a key technology to meet these demands.

Delvens Industry Expert's Standpoint

Experts in the Augmented Analytics Market highlight several key trends driving growth and innovation. The augmented analytics market is driven by the integration of AI and machine learning technologies into data analytics, enabling automation and more efficient decision-making. It supports a range of industries, including healthcare, retail, finance, and telecommunications, by enhancing data analysis and enabling real-time insights. Key trends include the increasing adoption of self-service analytics, cloud-based solutions, and natural language processing, which simplify the data analysis process and support real-time decision-making. The market is growing due to the need for businesses to manage vast amounts of data, make data-driven decisions, and gain a competitive edge, with AI and machine learning playing a significant role in accelerating this transformation.

Market Portfolio

Key Findings

• Software led the market, capturing a significant share of 80.5%. Augmented analytics software enables businesses to derive precise insights from data analysis, helping both new and established companies with new projects and other forms of data analysis. It allows for quicker responses to analysis-related queries without disrupting the process, facilitating smoother operations. For example, Oracle Analytics Cloud introduced key features such as improved augmented analytics, enhanced data actions, and new visualization controls, making it easier for business users to explore data and share insights.

• Services are anticipated to grow the fastest, with a projected CAGR of 29.7%. Services like training, consulting, deployment, and maintenance are crucial in helping organizations optimize their analytics workflows and ensure smooth adoption. These services create a complete ecosystem that allows businesses to fully leverage the power of augmented analytics, encouraging innovation and providing a competitive edge in the data-driven business environment.

• Large enterprises dominated the market, holding 74.5% of the share, driven by increasing investments in digital solutions. These companies are using advanced analytics to enhance decision-making and automate manual processes, which in turn improves customer satisfaction. As businesses continue to prioritize data-driven decisions, the demand for augmented analytics solutions is expected to rise, fuelled by these investments in cutting-edge analytics technologies.

• Small and medium-sized enterprises (SMEs) are expected to experience the fastest growth, with a projected CAGR of 29.6%. In a highly competitive landscape, these businesses are focusing on customer satisfaction, and analytics tools help them gather valuable insights to shape their business strategies. The market is expanding quickly to serve both large enterprises and SMEs, which are increasingly adopting augmented analytics to make data-driven decisions and drive business growth.

• The IT and telecommunication sector held the largest market share of 22.7%. Telecommunications companies are increasingly adopting augmented analytics to extract valuable insights from big data. Their focus is on enhancing customer experience, reducing costs, and driving revenue growth. AI technologies like natural language processing (NLP) and computer vision are instrumental in analyzing complex telecom systems, providing a deeper understanding of customer behavior, and supporting data-driven decision-making.

• The market is also divided into various regions such as North America, Europe, Asia-Pacific, South America, and Middle East and Africa. North America region is projected to hold the largest market share. Factors such the growing volume of data, demand for real-time analytics, rise of AI and machine learning, need for data-driven decision-making, adoption of cloud-based solutions, shift towards self-service analytics, desire to enhance operational efficiency, and competitive pressure to leverage data insights have triggered the Augmented Analytics Market in the region.

Regional Analysis

North America to Dominate the Market

• North America dominates the global augmented analytics market, holding a significant share of 41.2%. Businesses across various sectors, including finance, healthcare, retail, and e-commerce, are increasingly adopting augmented analytics tools to improve data-driven decision-making. The region benefits from a favorable regulatory environment that encourages innovation in analytics, while data privacy laws such as GDPR and CCPA present opportunities for companies to enhance data governance and risk management.

• The U.S. leads the North American augmented analytics market with a 75.3% share. This dominance is attributed to increased research and development, cloud integration, and advancements in infrastructure. The U.S. market is set for rapid growth, fueled by a supportive funding environment, a diverse customer base, and the widespread adoption of augmented analytics software and services. The shift toward data-driven operations is a key driver of this expansion.

• Europe is a promising region for augmented analytics, driven by investments in AI, machine learning, and natural language processing technologies to enhance data analysis. The rapid growth of SMEs in the region is creating a demand for better customer service and the implementation of advanced analytics tools. The UK is poised for significant growth, with its thriving AI and analytics community leading the development of innovative solutions to meet the growing demand for data-driven insights.

• The Asia Pacific region is expected to experience the fastest growth, with a projected CAGR of 30.7%. The rapid adoption of digital technologies in countries like China, India, South Korea, and Japan is driving this growth. The demand for advanced customer insights in densely populated countries with diverse demographics is fueling the expansion of augmented analytics in the region. In India, the vast amount of data generated across industries like e-commerce, healthcare, finance, and telecommunications is driving the need for augmented analytics solutions as businesses strive to stay competitive in the global market.

Competitive Landscape

• Salesforce
• SAP
• IBM
• Microsoft
• Oracle
• Tableau Software
• Microstrategy
• SAS
• Qlik
• Tibco Software
• Sisense
• Information Builders
• Yellowfin
• ThoughtSpot
• Domo

Recent Developments

• In July 2024, Qlik launched Qlik Talend Cloud, an integrated solution that combines advanced AI with reliable data foundations, enabling seamless and secure AI adoption at scale.

• In April 2024, Cloud Software Group, Inc. and Microsoft entered into an eight-year strategic partnership, pledging USD 1.65 billion to enhance Microsoft’s cloud and AI capabilities. This collaboration aims to deliver joint cloud solutions and generative AI to over 100 million users.

• In May 2024, Oracle and Accenture partnered to accelerate the adoption of generative AI, introducing new solutions and use cases to empower CFOs with AI-driven financial planning and analysis, optimizing operations, and driving growth.

Reasons to Acquire

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Report Scope