Augmented Analytics Market Size & Share Analysis - Trends, Drivers, Competitive Landscape, and Forecasts (2025 - 2030)

Augmented Analytics Market Trends & Growth Drivers

Continuous Advancements in Software Are Key Trends

An augmented analytic approach uses emerging technologies, including advanced statistics, (NLP), and machine learning (ML), to develop sophisticated and actionable insights from data. The software also helps analyze trends, makes future projections, and solves problems. It can evaluate organizational analytics by utilizing cutting-edge statistical and modeling tools. These realizations can be used to map out or alter the course of companies.

For instance, BI tools like Power BIQlikView, QlikSense, MicroStrategy, and SAP offer metrics, forecasting, dashboard, measure, scorecard, budgeting, planning, and visualization technologies, including advanced charts and graphs. These help in building reports with the use of statistical methods to project future forecasts.

As per the analysis, the value created by ML in analytics has the potential to spread across over 300 enterprise use cases and will be a major contributor to the market revenue in the forecast period. Moreover, businesses adopting ML as an analytic tool can contribute an average of 15% return on investment.

Digital Transformation and Automation of Industries Drive Market

From consumers’ daily lives to manufacturing and medical diagnosis, everything around the world is witnessing digital transformation and automation. These changes not only augment productivity across all processes but also enhance the convenience for users. Moreover, they are considered the cornerstone approaches to achieve sustainability, which is why they are being vehemently pursued by governments and business alike.

This is because any connected device, be it an individual’s smartphone, a computer owned by an enterprise, an integrated production line at a factory, or an at a hospital, generates huge amounts of data. As per estimates, compared to 41 Zettabytes in 2019, 97 Zettabytes of data were generated in 2022. Properly analyzing this information can not only help improve the productivity and efficiency of operations, but also assess the functioning of the device itself.

For instance, by tracking people’s locations and online activities from the data generated by their smartphones, companies are able to offer personalized recommendations spanning better, shorter routes, nearest ATM, relevant products on an e-commerce website, and everything in between. Similarly, studying the real-time data generated by an CT scanner can not only help clinicians in better disease diagnosis but also aid technicians in maintaining safe radiation doses and assessing the scanner’s electricity consumption.

Augmented analytics enhance the efficiency of data analysis, thus enabling business to make better decisions to not only impact customers’ lives more positively but also remain as profitable as possible. For instance, building automation systems generate constant data on the functioning of HVAC, lighting, fire & safety, and other appliances, and analyzing it is crucial to maintain high energy efficiency. The insights gained from this digital information also helps in predicting system failures, which ultimately allows for maintenance before a complete breakdown.

Data Concerns and Technical Challenges Hamper Market Growth

The challenges for the augmented analytics market are similar to those associated with most advanced digital technologies. The most significant among those is data privacy, because a range of data is analyzed by and companies for analysis. This includes people’s personal details, financial information, information about medical conditions and prescriptions. If the data analysis software is not backed up with adequate measures, hackers can easily steal it, and use it for their benefit.

The biggest risks of data breaches are ransomware, social engineering, identity fraud, phishing, malware, and DDoS. Such incidences cause companies financial and reputation losses, which can be in the millions of dollars. As per IBM, the average cost of a data breach is USD 4.88 million in 2024, 10% higher than last year. Moreover, 1 in 3 data breaches involve shadow data, which is digital information that is ignored or unintentionally left behind at vulnerable places in cyberspace. It is just not the immediate financial losses but also the repercussions of failure with the government regulations for data privacy that businesses have to deal with.

The other major challenge with augmented analysis software is its high costs, which are particularly crippling for small and medium-sized organizations and startups. The software could also itself be technically challenging, requiring extensive training and even an upgradation of legacy systems, thereby further raising expenses.

Augmented Analytics Market Analysis

Component Insights

• The software category accounts for the largest market share in 2024, of 65%.
• With the rise and accessibility of a large volume of data across all sectors, there is a surging demand for augmented analytic solutions.
• The software helps in automating the process of comprehending, analyzing data, and producing valuable insights, and simplifies the entire process.
• Also, it can spot patterns and shows trends and visualization. Software, such as AI, ML, and NLP, is used in this automation.
• The services bifurcation is predicted to witness the faster growth during the forecast period.
• As augmented analytics is an evolving field, only a handful of companies with high technical expertise and finances are aware of it.
• Even they require external help in implementing these solutions, starting with consulting on which exact software to purchase. Further in the software lifecycle, companies need help with deployment, operations, and data backup & recovery.
• Further, the evolving nature of this technology necessitates regular upgrades, thus driving the demand for related managed and professional IT services.

The segment is bifurcated as follows:

• Software (Larger Category)
• Service (Faster-Growing Category)

Organization Size Insights

• Large enterprises dominate the market currently as only they have the financial and technical capabilities to procure augmented analytics solutions and use them to their full potential.
• Additionally, they have large workforces and clientele, which means they gather millions of bytes of data every second.
• Accurately analyzing this massive amount of information is vital for them to enhance customer experiences, optimize operations, and augment revenue.
• Multinational banking, retail & e-commerce, IT, telecommunications, and consumer goods companies are notable examples of users of such software.
• The small and medium-sized enterprises (SMEs) category is projected to witness the highest growth rate, of 29%.
• This can be attributed to the mounting number of SMEs, which are embracing AI solutions increasingly.
• Moreover, smaller businesses have begun implementing cloud technology to lower costs associated with setup, upkeep, and upgradation.
• This enables simple integration with outdated legacy systems for increased efficiency as well as easy access to stored data from anywhere.
• For these businesses, cloud technology reduces operational expenses and time, which is a major driver for the augmented analytics market growth.
• All companies, despite their size, generate a significant amount of data.
• Data analysis is expensive since it requires software installation for organizations.
• Previously, SMEs did not have admittance to modern BI tools, which were used by large enterprises.
• However, developments in cloud solutions have assisted SMEs in accessing several useful tools, which aid them in their professional procedures.
• Moreover, a large number of players investing in the development of technologies that facilitate the reduction in operational costs.
• This is because the technologies partially eradicate the requirement of data science specialists, owing to which the deployment of augmented analytic solutions has surged among SMEs.

Organizations of these sizes have been considered:

• SMEs (Faster-Growing Category)
• Large Enterprises (Larger Category)

Industry Insights

• The BFSI category dominates the market in 2024 with 25% revenue.
• This is attributed to the surging desire from customers for mobility and flexibility when conducting banking transactions.
• Because of this, financial institutions are utilizing AI-powered data tools to manage calls, clients, and transactions more efficiently.
• These software tools when implemented, they allow clients to develop their solutions at scale within the bank leveraging governance, assets, projects, and skill sets.
• Also, leading players in the market are already invested in the technologies to automate the banking experience for their clientele.
• The healthcare category is expected to record the fastest growth. This can be because big companies, such as Procter & Gamble and GE, are moving toward digitalization to sustain themselves in the competitive market.
• These enterprises have started deploying augmented analytics to improvise the performance of their operations.
• Kore.ai as launched HealthAssist, an AI-powered experience optimization platform technology for health insurance payers, healthcare providers, and life sciences organizations.
• Furthermore, with the rising demand for healthcare services across the globe, the requirement for scalable no-code platforms is increasing, which allows companies to build, design, deploy, and test customized and intuitive interactions with little technical support or expertise.
• Also, the innovative approach minimizes companies’ dependence on technical experts, improves efficiency, and accelerates the implementation process.

We have studied the following industries:

• Retail
• Healthcare (Fastest-Growing Category)
• BFSI (Largest Category)
• Telecom and IT
• Manufacturing
• Government
• Transportation and Logistics
• Others

Deployment Mode Insights

• The cloud bifurcation is the larger, and it will also witness the higher CAGR during the forecast period, of 28.0%.
• This is attributed to the numerous benefits the cloud provides over on-premises software, the biggest being cost-effectiveness.
• Since cloud-based solutions are hosted by a third party on its servers, users need not procure the expensive IT components themselves.
• This deployment approach also enables automative updates and the ability to scale the storage and processing power up or down, as needed.
• Additionally, cloud computing has become critical for companies that have geographically dispersed workforces as it allows for anytime, anywhere collaboration. This is because the offsite cloud servers and the software stored in them are accessible round the clock via the internet.
• All these benefits cloud computing lucrative and feasible for smaller companies and those with limited financial resources to spend on on-premises software.
• Moreover, with the evolving government mandates for data privacy, cloud service providers are bolstering their servers with robust cybersecurity measures, thus alleviating users concerns earlier associated with cloud technologies.

The following deployment modes are studied:

• On Premises
• Cloud (Larger and Faster-Growing Category)

Business Function Insights

• The sales and marketing category holds the largest share in 2024, of 35%, and it is also the fastest-growing category.
• This is because of the criticality of effective sales and marketing data analysis for business growth.
• Analyzing what people search for and buy, when they are the most active online, and other such stuff enables companies to offer better recommendations and create strategies for customer engagement.
• Currently, almost all digital marketing initiatives depend on such information, which companies use to better plan their social media campaigns, adjust product pricing, suggest value-added services, and target particular groups of people with compelling advertisements.
• Moreover, an analysis of sales data allows companies to better align their resources and assess their performance, which also helps with promotions and appraisals.

The report offers analysis on the below-mentioned business functions:

• Sales and Marketing (Largest and Fastest-Growing Category)
• Finance
• IT
• Operations
• Others

Regional Analysis

North America held the largest market share, of 40%, in 2024. This is due to a large number of research and development activities as well as the presence of significant industry players who are constantly updating their product offerings for the research. Moreover, the analytic software facilitates finding the pattern of data and ensures getting data insights, which make it possible for better business productivity.

For instance, in October 2021, IBM and Deloitte together announced an AI-enabled analytic solution, DAPPER. Through this, Deloitte and IBM can assist data scientists and business users in creating, organizing, and managing insight assets to help advance reliable internal reporting and AI solutions, so that businesses can concentrate on their core competencies.

As per the analysis, the U.S held a larger share in the IT services and cloud computing industry in 2021, generating almost USD 400 billion revenue, in North America. This is due to the surging adoption of augmented analytic solutions that have the ability to transform big data into a smaller usable dataset, which helps in getting useful business insights at a broader level and provides a centralized data platform.

The APAC market is expected to experience the fastest growth in the coming years, with 30.0% CAGR, due to the presence of major industry players in the region. Moreover, in terms of the rising adoption of artificial intelligence (AI)-based technologies in business intelligence (BI), the Indian market is expected to advance significantly. This can be attributed to the rising need to integrate and manage unstructured data by Indian enterprises and data scientists' experiments with real-time streaming data.

In APAC countries like India, Japan, and China, organizations have started to shift from conventional enterprise reporting tools to augmented analytic tools, in order to boost data preparation and cleansing.

In major IT cities in India (Bangalore, Hyderabad, Mumbai, Chennai), companies are increasingly investing in the automation of data processing. For instance, Subex Ltd. launched HyperSense, an end-to-end augmented analytic platform. This platform helps in turning data into insights by building, interpreting, and tuning AI models, and helps in delivering actionable insights from the data.

The following is the regional breakdown of the market:

• North America (Largest Regional Market)
  • U.S. (Larger Country Market)
  • Canada (Faster-Growing Country Market)
• Europe
  • Germany (Largest Country Market)
  • France
  • U.K. (Fastest-Growing Country Market)
  • Italy
  • Spain
  • Rest of Europe
• Asia-Pacific (APAC) (Fastest-Growing Regional Market)
  • China (Largest Country Market)
  • Japan
  • India (Fastest-Growing Country Market)
  • Australia
  • South Korea
  • Rest of APAC
• Latin America (LATAM)
  • Brazil (Largest Country Market)
  • Mexico (Fastest-Growing Country Market)
  • Rest of LATAM
• Middle East and Africa (MEA)
  • Saudi Arabia (Fastest-Growing Country Market)
  • South Africa (Largest Country Market)
  • Rest of MEA

Augmented Analytics Market Share

• The market is moderately consolidated with the presence of a few major and numerous minor players.
• This is because of the diverse demands related to data analysis across industries, for which software can be easily customized.
• Still, owing to the technical nature of this technology, the big IT firms generally hold significant shares in the market.
• They have as their clients multinational corporations across all industries, to which these IT vendors also offer comprehensive professional and managed services.
• Further, with their strong finances, these companies continue to acquire promising startups in this space, thus augmenting their own portfolios and finishing the competition.

Augmented Analytics Market News

• In October 2024, Microsoft Corporation entered into a partnership with Rezolve AI to deploy the latter’s Brain suite of AI-driven retail & commerce software on Microsoft Azure.
• In October 2024, Amazon Web Services Inc. began a partnership with Smartsheet to develop a new connected that will integrate data on projects managed in Smartsheet to Amazon Q Business. This generative AI assistant provides summaries, answer questions, securely complete tasks, and generate content related to the projects managed in Smartsheet, helping business make data-driven decisions.
• In September 2024, Salesforce Inc. entered into a collaboration with IBM Corporation to integrate the former’s Agentforce software suite of autonomous AI agents into IBM WatsonX. This collaboration will allow enterprise to analyze customer data to improve sales and marketing operations.
• In September 2024, SAP SE acquired WalkMe Ltd., a developer of AI-driven software for business transformation.