Global Operational Analytics Market - Industry Trends and Forecast to 2026

  • ICT
  • Upcoming Report
  • Aug 2019
  • Global
  • 350 Pages
  • No of Tables: 60
  • No of Figures: 220

Global Operational Analytics Market By Type (Software, Service), Service (Managed Services, Professional Services), Business Function (Information Technology, Marketing, Sales, Finance, Human Resources, Others), Application (Predictive Asset Maintenance, Risk Management, Fraud Detection, Supply Chain Management, Customer Management, Workforce Management, Sales and Marketing Management, Others), Deployment Model (On-premises, Hosted/on-cloud), Industry Vertical (Telecommunication, Retail and Consumer Goods, Manufacturing, Government and Defense, Energy and Utilities, Transportation and Logistics, Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) - Industry Trends and Forecast to 2026

Market Analysis: Global Operational Analytics Market

Global operational analytics market is set to witness a healthy CAGR of 19.50% in the forecast period of 2019 to 2026. The report contains data of the base year 2018 and historic year 2017. This rise in the market can be attributed due to increasing need for process and operations optimization and control and data explosion due to emergence of IoT-enabled technologies.

Market Definition: Global Operational Analytics Market

Operational analytics is a more particular word for a form of business analytics that aims to improve current activities. Like others, this form of business analytics includes the use of different data mining and data aggregation instruments to obtain more transparent business planning information. Operational analytics may be pursued by businesses in several distinct ways. Different software packages will offer different models to show what's going on in a business, in real time or over a specific time frame. Many of these instruments will make visual models available.

Market Drivers:

  • Market is driven by data-based decision making, which is adopted by industries such as finance, manufacturing, and others
  • Increasing production of the organization by reducing operational costs due to operational analytics
  • Data explosion due to emergence of IoT-enabled technologies is driving the growth of market
  • Adoption of advanced data management strategies

Market Restraints:

  • Frequent operational changes in IT organizations is restraining the growth of the market
  • Complex analytical processes are expected to limit the market growth.
  • Operational analytics requires continuous ingestion of variety of data which result in large data volumes

Segmentation: Global Operational Analytics Market

By Type

  • Software
  • Service

By Service

  • Managed Services
  • Professional Services

    • Consulting Services
    • Deployment and Integration
    • Support and Maintenance

By Business Function

  • Information Technology (IT)
  • Marketing
  • Sales
  • Finance
  • Human Resources (HR)
  • Others

By Application

  • Predictive Asset Maintenance
  • Risk Management
  • Fraud Detection
  • Supply Chain Management
  • Customer Management
  • Workforce Management
  • Sales and Marketing Management
  • Others

By Deployment Model

  • On-premises
  • Hosted/on-cloud

By Industry Vertical

  • Telecommunication
  • Retail and Consumer Goods
  • Manufacturing
  • Government and Defense
  • Energy and Utilities
  • Transportation and Logistics
  • Others

By Geography

  • North America

    • US
    • Canada
    • Mexico

  • South America

    • Brazil
    • Argentina
    • Rest of South America

  • Europe

    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Switzerland
    • Russia
    • Turkey
    • Belgium
    • Netherlands
    • Rest of Europe

  • Asia-Pacific

    • Japan
    • China
    • South Korea
    • India
    • Australia
    • Singapore
    • Malaysia
    • Indonesia
    • Thailand
    • Philippines
    • Rest of Asia-Pacific

  • Middle East and Africa

    • South Africa
    • Egypt
    • Saudi Arabia
    • United Arab Emirates
    • Israel
    • Rest of Middle East and Africa

Key Developments in the Market:

  • In July 2018, ITRS Group has announced a partnership with Apica. The combination of ITRS Geneos and Apica provides testing infrastructure and surveillance. By running performance tests using millions of virtual users in scripted real-world situations, it also guarantees application reliability on a scale. This partnership will offer best practice to evade operational failures and outages
  • In October 2017, Vodafone Australia entered into enterprise software and services agreement with Splunk.  The agreement allows the organization-wide expansion of the Splunk platform to enhance activities, network visibility and reporting. By offering proactive and predictive insights into client requirements, Vodafone's investment considerably enhances its capacity to explore and resolve customer-facing and back-end problems

Competitive Analysis

Global operational analytics market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of operational analytics market for Global, Europe, North America, Asia Pacific and South America.

Major Market Players

Few of the major competitors currently working in the global operational analytics market are IBM Corporation, Oracle, Microsoft, SAS Institute Inc., Hewlett Packard Enterprise Development LP, SAP SE, ALTERYX, INC., Cloudera, Inc., BENTLEY SYSTEMS, INCORPORATED, Splunk Inc., Cisco Systems, Inc., Evolven Software, Appnomic, Apptio, Inc., BAY DYNAMICS, BMC Software, Inc., VMware, Inc, ContinuitySoftware, ExtraHop Networks and others.

Research Methodology: Global Operational Analytics Market

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Key Insights in the report:

  • Complete and distinct analysis of the market drivers and restraints
  • Key Market players involved in this industry
  • Detailed analysis of the Market Segmentation
  • Competitive analysis of the key players involved


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