Across the world, every day billions of people take photos, videos, and send texts, and this flood of data is growing at an exponential rate. The total amount of data in the world was estimated at 4.4 zettabytes in 2013. That is expected to rise steeply to 44 zettabytes by 2020. Big data is a term that describes the large volume of data (both structured and unstructured). With the rapid growth in analytic capabilities on cloud platforms, users leveraged large cloud vendors more prominently for analytical software in 2017. It is expected that cloud-based deployments of these solutions will drive up to five times higher growth in spending, as compared to on-premises analytics solutions. Big Data initiatives were a high priority for 60% of the enterprises that planned to spend an average of USD 9 million on such initiatives in 2016.
The market is witnessing integration of big data solutions, like business analytics, along with advanced analytical solutions, like business intelligence solutions, which were usually deployed as a subset of a larger business intelligence solution.
Cloud Deployment of these Solutions is Driving the Adoption
The deployment of these solutions over cloud offers great convenience, as the service vendor is responsible for providing maximum uptime, data security, and periodic updates, thus decreasing the total cost of ownership. The current market trends, including delivery of these solutions on the pay-per-use models and SaaS models, wherein the service vendors also assume the responsibility of maintaining data and application information, are further driving the adoption of these solutions. Moreover, this mode has seen an increase in deployment in small-/medium-scale businesses, as it cuts down the capital expenditure involved in building the required infrastructure on their premises.
Increased Adoption of Data Visualization Tools by the BFSI Sector
The banks currently are growing in size and are expanding geographically. The number of branch network grew leaps and bounds, and thus, the volume of transactions is witnessing exponential growth. Manual operations became time-consuming and error-prone. As a result, real-time or near to real-time data integration, analysis, and visualization have become prevalent in the market. To cater to a load of operations from all bank branches spread across geographies, banks have started using advanced visualization tools to track their operations.
Integration of advanced capabilities, like machine learning, are further helping bankers to optimize their performance and reduce risks. It is reported that a large retail bank in the United Kingdom used machine learning algorithms to identify fraudulent transactions with more than 90% accuracy. Banks and other financial institutions currently are increasing their IT spending to leverage the benefits of the innovations in the market. However, with the increase in cyber terrorism, security of sensitive data, including personal banking details, commercial banking details, and confidential corporate information are at stake.
North America Is Expected To Dominate The Big Data Technology Market During The Forecast Period
North America is the largest producer of data in the world, and this can be attributed to their well-developed infrastructure and the large number of active internet users, which accounted to about 88.5% of the total population in 2017. This number indicates an increase of about 1.1%, as compared to 2016, according to World Bank statistics. This rise in data can be attributed to the rise in communication systems, majorly social media. About 89% of the population from the age group of 18-28 has been on social media, generating a significant amount of content. About 80% of people from the 30-49 age group and 64% of the people from 50-64 age group, are present in social media platforms
In Canada, which was relatively stable during the recession period, the gains are more visible. The industrial sector is experiencing steady growth, along with increasing influence of internet on sales of industrial goods, hence, the increased demand for business intelligence and analytics solutions. It was further reported by Dresner Advisory Services that North America was the global leader in adopting public cloud platforms for Cloud BI, with 60% of organizations either using or planning to use public cloud in 2017, followed by Asia-Pacific.
Key Developments in the Market
- January 2018 - Tableau Software, Inc. launched Hyper, the new data engine technology included within Tableau 10.5. With Hyper’s ability to slice and dice massive volumes of data in seconds, customers can see up to 5X faster query speed and up to 3X faster extract creation speed.
- August 2017 - Oracle Corporation released the latest version of their BI solution named- Oracle Business Intelligence Enterprise Edition (OBIEE) 184.108.40.206 on August 2017. The suite provides enterprises with enhanced BI capabilities. The company is further investing in integration of artificial intelligence capabilities to it.
- January 2017 - IBM Security had purchased Agile 3 Solutions, a San Francisco-based company that developed a security analytics dashboard aimed at helping executives understand cyber-security risks inside an organization. The acquisition gave IBM another tool in its security arsenal to provide more insight to key decision makers, which ultimately could help them sell more security services.
Reasons to Purchase this Report
- To know how the growth in data production is driving the need for analytical tools.
- To analyze various perspectives of the market with the help of Porter’s five forces analysis
- To know as to which end-user vertical is likely to witness highest adoption of these tools.
- To know as to which deployment mode is expected to dominate the market.
- To know about the regions that are expected to witness fastest growth during the forecast period.
- To identify the latest developments, market shares, and strategies employed by major market players.
- Three months analyst support, along with the Market Estimate Sheet (in excel)
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1.1 Key Deliverables of the Study
1.2 Study Assumptions
1.3 Market Definition
1.4 Key Findings of the Study
2. Research Approach and Methodology
3. Executive Summary
4. Market Dynamics
4.1 Market Overview
4.2 Factors Driving the Market
4.2.1 Reduction In Technology Implementation and Ownership Costs
4.2.2 Increasing Number of Connected Devices
4.2.3 Growing Awareness among People working in Radiation Prone Environment
4.3 Factors Challenging the Market
4.3.1 Regulatory Issues relating to Big Data Use
4.3.2 Lack of Skilled Professionals
4.3.3 Organization Structural Barriers And Decentralized Systems
4.4 Industry Value Chain Analysis
4.5 Industry Attractiveness - Porter's Five Industry Forces Analysis
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Power of Consumers
4.5.3 Threat of New Entrants
4.5.4 Threat of Substitute Products or Services
4.5.5 Competitive Rivalry among Existing Competitors
5. Global Big Data Technology & Service Market Segmentation
5.1 Delivery Mode
5.2 End-User Vertical
5.2.1 Telecom & IT
5.2.2 Energy & Power
5.2.6 Transportation & Logistics
5.2.7 Aerospace & Defense
5.2.8 Engineering & Construction
5.2.9 Healthcare & Pharmaceuticals
5.3 By Geography
5.3.1 North America
5.3.4 Latin America
5.3.5 Middle East & Africa
6. Vendor Market Share
7. Competitive Intelligence - Company Profiles
7.1 IBM Corporation
7.2 Microsoft Corporation
7.3 Oracle Corporation
7.4 SAP SE
7.5 Hewlett-Packard Company
7.6 Cisco Systems Inc.
7.7 SAS Institute
7.8 Information Builders Inc.
7.9 MicroStrategy Incorporated
7.10 Accenture PLC
7.11 Tableau Software Inc.
8. Investment Analysis
9. Future of the Big Data Technology & Service Market
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- Hewlett-Packard Company
- Cisco Systems Inc.
- SAS Institute
- Information Builders Inc.
- MicroStrategy Incorporated
- Accenture PLC
- Tableau Software Inc.