Introduction: Navigating the Competitive Landscape of Augmented Analytics
The augmented intelligence market is experiencing a surge in competition, driven by a combination of technological development, regulatory changes and increased consumer demand for insights. IT system integrators, augmented intelligence start-ups and traditional data analytics vendors are competing for leadership, leveraging advanced capabilities such as augmented analytics, automation and IoT integration. IT system integrators are focusing on deploying augmented intelligence solutions with the greatest ease and interoperability, while augmented intelligence start-ups are disrupting the market with new data visualization and analytics tools. The rise of green ICT is forcing established vendors to embrace sustainable practices to differentiate their offerings. In North America and Asia/Pacific, where data democratization is gaining momentum, the strategic deployment trends will have a major impact on the market in 2024–25.
Competitive Positioning
Full-Suite Integrators
These vendors offer comprehensive platforms that integrate various analytics capabilities into a single solution.
| Vendor | Competitive Edge | Solution Focus | Regional Focus |
|---|
| Salesforce |
Strong CRM integration |
Customer analytics and insights |
Global |
| SAP |
Enterprise resource planning integration |
Business intelligence and analytics |
Global |
| Oracle |
Robust database capabilities |
Data management and analytics |
Global |
| Microsoft |
Seamless integration with Office products |
Business intelligence and analytics |
Global |
Specialized Technology Vendors
These vendors focus on specific analytics technologies or niche markets, providing tailored solutions.
| Vendor | Competitive Edge | Solution Focus | Regional Focus |
|---|
| Domo |
Real-time data visualization |
Cloud-based business intelligence |
North America, Europe |
| Looker |
Data modeling capabilities |
Business intelligence and analytics |
Global |
| Tableau Software |
User-friendly data visualization |
Data visualization and analytics |
Global |
| Sisense |
Embedded analytics solutions |
Business intelligence and analytics |
Global |
| Qlik |
Associative data indexing |
Data analytics and visualization |
Global |
| ThoughtSpot |
Search-driven analytics |
Business intelligence and analytics |
Global |
| MicroStrategy |
Enterprise-grade analytics platform |
Business intelligence and analytics |
Global |
Infrastructure & Equipment Providers
These vendors provide the underlying infrastructure and tools necessary for analytics solutions.
| Vendor | Competitive Edge | Solution Focus | Regional Focus |
|---|
| IBM |
AI-driven analytics capabilities |
Data analytics and AI |
Global |
| TIBCO Software |
Real-time data integration |
Data integration and analytics |
Global |
| Alteryx |
Data preparation and blending |
Data analytics and preparation |
North America, Europe |
| Zoho |
Affordable analytics solutions |
Business intelligence and analytics |
Global |
Emerging Players & Regional Champions
- It offers an automatic machine-learning platform that simplifies the process of building and deploying models. It recently teamed up with a major health care provider to help it better analyze its patient data. Its more user-friendly approach to solving these problems is a challenge to established players such as IBM’s Watson.
- Qlik (Sweden): Known for its associative analytics engine, Qlik has introduced augmented analytics features that use machine learning for data preparation and insights generation. In its recent partnership with a European retail chain, Qlik has demonstrated that it can compete with the larger players like Tableau, by focusing on real-time data integration.
- Then the search engines and the data analysis tools are specialized in the use of artificial intelligence. Their recent implementation in a financial company illustrates their particular field, intuitive analysis, and their challenge to the usual BI tools like Power BI.
- Sisense (Israel): Offers a cloud-based, augmented analytics platform. A recent contract with a telecommunications company highlights its capacity to handle large data sets and positions it as a regional champion against established players like SAP.
- Domo (USA): Domo is a cloud-based business intelligence platform with augmented intelligence features. Their recent expansion into the Asia-Pacific market shows that they are growing in the market, and they are challenging the established vendors by offering a more agile and user-friendly interface.
Regional Trends: In 2023, a notable trend towards the use of augmented analytics is expected in North America and Europe, due to an increased demand for data-driven decision making. Companies will focus on integrating artificial intelligence and machine learning into their data analytics tools to enhance the user experience and accessibility of their data. Real-time data processing and visualization will also become more commonplace in the health, finance, and retail industries, where data insights are essential for operational efficiency.
Collaborations & M&A Movements
- Tableau and Salesforce.com announced a partnership to integrate Tableau’s augmented analytics into the Salesforce platform, in order to improve the data-driven decision-making of their combined customer base and to further strengthen their market position in the business intelligence space.
- IBM acquired the analytics firm Red Hat to bolster its hybrid cloud strategy, enhancing its augmented analytics offerings and positioning itself as a leader in the cloud-based analytics space.
- Qlik and Google Cloud entered into a collaboration to provide advanced augmented analytics solutions, leveraging Google’s AI capabilities to improve data insights and drive market share growth in the cloud analytics sector.
Competitive Summary Table
| Capability | Leading Players | Remarks |
|---|
| Data Preparation |
Tableau, Qlik |
Tableau offers robust data blending capabilities, allowing users to combine data from multiple sources seamlessly. Qlik's associative model enables users to explore data freely, uncovering insights that traditional query-based tools might miss. |
| Natural Language Processing (NLP) |
Microsoft Power BI, IBM Watson |
Microsoft Power BI integrates NLP features that allow users to ask questions in natural language, making data analysis more accessible. IBM Watson's NLP capabilities are enhanced by its AI-driven insights, providing contextually relevant information. |
| Automated Insights |
Sisense, Domo |
Sisense uses artificial intelligence to automatically generate insights and visualizations, which reduces the time required for manual analysis. Domo's platform uses machine learning to create predictive models that enable data-driven, ad hoc decision-making. |
| Collaboration Features |
Looker, SAP Analytics Cloud |
Looker emphasizes collaboration with its integrated sharing and commenting features, allowing teams to work together on data insights. SAP Analytics Cloud offers collaborative planning and analysis tools, enhancing team productivity. |
| Data Visualization |
Power BI, Tableau |
Power BI is known for its interactive dashboards and rich visualizations, making data storytelling effective. Tableau's advanced visualization capabilities allow users to create complex visual representations of data, facilitating deeper insights. |
| Integration with Other Tools |
Alteryx, TIBCO Spotfire |
The integration of Alteryx with many data sources and tools facilitates the work process. The integration possibilities of TIBCO Spotfire allow the linking of IoT data with other enterprise systems for a comprehensive analysis. |
Conclusion: Navigating the Augmented Analytics Landscape
The augmented intelligence market in 2023 will be highly competitive and highly fragmented, with both established players and new entrants competing for market share. Regional trends show a growing demand for localized solutions, which will prompt vendors to adapt their offerings to meet the specific needs of each market. Among the leading vendors, the established players will rely on their strong customer relationships and their brand reputation, while the newcomers will focus on differentiating themselves through innovations in areas such as AI-driven insights and automation. As the market evolves, the ability to integrate long-term value and flexibility into analytics solutions will be crucial for vendors that aim to be market leaders. Strategic investment in these key capabilities will be critical for decision-makers who want to keep up with the fast-changing market.
