Market Definition
Augmented analytics is a data analysis technique that combines human intelligence with artificial intelligence (AI) to enhance the decision-making process. The goal of augmented analytics is to make data analysis more efficient and effective by automating repetitive tasks and providing more insights in a shorter amount of time.
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Market Outlook
There are four key trends in augmented analytics technology:
1. The rise of artificial intelligence (AI) and machine learning (ML)
Augmented analytics is powered by AI and ML technologies, which are becoming more sophisticated and widely adopted. AI can help identify patterns and trends in data that would be difficult for humans to find, while ML can automate the process of creating predictive models.
2. The increasing popularity of cloud-based solutions
Cloud-based augmented analytics solutions are becoming more popular, as they offer flexibility and scalability. These solutions can be deployed quickly and easily, without the need for on-premises hardware or software.
3. The need for data governance and security
As augmented analytics solutions become more widely used, there is a greater need for data governance and security. These solutions often access and analyze sensitive data, so it is important to ensure that only authorized users have access to the data and that it is properly protected.
4. The demand for more user-friendly solutions
There is a growing demand for augmented analytics solutions that are more user-friendly, as businesses look to make data-driven decisions without the need for specialized skills or training. User-friendly solutions often have an intuitive interface and require minimal setup.
There are several key drivers of the augmented analytics market. First, the increasing volume of data is creating a need for more sophisticated methods of analysis. This is especially true in the Big Data era, when organizations are dealing with large data sets that are difficult to analyze using traditional methods.
Second, the need for faster and more accurate decision-making is driving the need for more advanced analytics. Organizations are looking for ways to gain insights more quickly and accurately in order to make better decisions.
Third, the increasing adoption of cloud computing is providing a more cost-effective and scalable infrastructure for augmented analytics. Cloud-based solutions are often more flexible and easier to implement than on-premise solutions, making them attractive to organizations of all sizes.
Finally, the increasing popularity of mobile devices is providing a new platform for augmented analytics. Mobile devices are becoming increasingly powerful and are capable of running sophisticated applications. This is providing new opportunities for organizations to use augmented analytics to improve their decision-making processes.
Research Objectives
- Estimates and forecast the overall market size for the total market, across product, service type, type, end-user, and region
- Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling
- Identify factors influencing market growth and challenges, opportunities, drivers and restraints
- Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates
- Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities
- Thoroughly analyze smaller market segments strategically, focusing on their potential, individual patterns of growth, and impact on the overall market
- To thoroughly outline the competitive landscape within the market, including an assessment of business and corporate strategies, aimed at monitoring and dissecting competitive advancements.
- Identify the primary market participants, based on their business objectives, regional footprint, product offerings, and strategic initiatives
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Market Segmentation
The Augmented Analytics Market is segmented into deployment, application, end-user and region. By deployment, the market is divided into on-premise and cloud. By application, the market is classified into sales & marketing, finance, IT, operations, and others. By end-user, the market is bifurcated into retail, BFSI, manufacturing, government, and others. By region, the market is classified into North America, Europe, Asia-Pacific and rest of the world.
Key Players
The key players in the Augmented Analytics Market are Salesforce , SAP , IBM , Microsoft , Oracle , Softengi, MicroStrategy , SAS , Qlik and TIBCO Software
Research Scope
- Scope – Highlights, Trends, Insights. Attractiveness, Forecast
- Market Sizing – Product Type, End User, Offering Type, Technology, Region, Country, Others
- Market Dynamics – Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain
- Business Framework – Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments
- Competitive Landscape – Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis
- Company Profiles – Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis
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