Global Intelligent Process Automation Market – Industry Trends and Forecast to 2026

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

Global Intelligent Process Automation Market By Technology (Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA, Computer Vision, Others), Component (Solutions, Services), Vertical (Banking, Financial Services, and Insurance, Telecommunications and IT, Transport and Logistics, Media and Entertainment, Retail and E-Commerce, Manufacturing, Healthcare and Life Sciences, Others), Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) – Industry Trends and Forecast to 2026

Market Analysis: Global Intelligent Process Automation Market

Global Intelligent Process Automation Market is driven by better optimization in the organization and to gain a major competitive edge within the market. Intelligent process automation is more focused towards reducing the costs and increasing the revenue. This is projecting a rise in estimated value from USD 7.34 billion in 2018 to an estimated value of USD 19.79 billion by 2026, registering a CAGR of 13.2% in the forecast period of 2019-2026.

Market Definition: Global Intelligent Process Automation Market

Intelligent process automation can be defined as process of implementing the artificial intelligence, cognitive automation, machine learning and computer vision to the robotics. Intelligent process automation is an integration of machine learning and robotic process automation which assist the human work and have the tendency to improve over a period of time without any command.

Market Drivers:

  • Rapid increase in scope and usage of IT and automation within the globe with high acceptance ratio in the market
  • Automation with artificial intelligence helps in better customer experience and to grow in systematic manner
  • Minimizing the human work and error with optimum utilization of resources to earn greater efficiency of business enterprise in the market

Market Restraints:

  • Shortage of technical expertise within the area of artificial intelligence and robotics
  • Hard to penetrate in underdeveloped and low literacy rate regions
  • Cost of initial investment is very high and intelligent process automation may lead to an increase in human unemployment

Segmentation: Global Intelligent Process Automation Market

  • By Technology

    • Natural Language Processing
    • Machine and Deep Learning
    • Neural Networks
    • Virtual Agents
    • Mini Bots and RPA
    • Computer Vision
    • Others

      • Video Analytics
      • Biometrics
      • Expert Systems
      • Sensor Processing
      • Inference Engines

  • By Component

    • Solutions

      • Software Tools
      • Platforms

    • Services

      • Professional Services

        • Advisory/ Consulting
        • Design and Implementation
        • Training
        • Support and Maintenance

      • Managed Services

  • By Vertical

    • Banking, Financial Services, and Insurance {BFSI}
    • Telecommunications and IT
    • Transport and Logistics
    • Media and Entertainment
    • Retail and E-commerce
    • Manufacturing
    • Healthcare and Life Sciences
    • Others

      • Travel and Hospitality
      • Education
      • Government and Public Sector
      • Utilities

  • By Application

    • IT Operations
    • Business Process Automation
    • Application Management
    • Content Management
    • Security
    • Others

      • Human Resource Management
      • Incident Resolution
      • Service Orchestration

  • By Geography

    • North America

      • US
      • Canada
      • Mexico

    • South America

      • Brazil
      • Argentina
      • Rest of South America

    • Europe

      • Germany
      • France
      • United Kingdom
      • Italy
      • Spain
      • Russia
      • Turkey
      • Belgium
      • Netherlands
      • Switzerland
      • 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 October 2018, Automation Anywhere launched Apeople – an online community, for the experts and practitioners of robotic process automation, business process automation and artificial intelligence
  • In September 2018, Eggplant RPA by eggplant has been launched which can do or automate the work which is being done by the human using DAI technology. It has the capability of conversion and migration of 500,000 files which reduce the chances of overlapping of work using DAI technology

Competitive Analysis: Global Intelligent Process Automation Market

Global intelligent process automation 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 intelligent process automation market for global, Europe, North America, Asia Pacific and South America.

Major Market Competitors/Players: Global Intelligent Process Automation Market

Few of the major competitors currently working in intelligent process automation market are Automation Anywhere, Inc., UiPath., Blue Prism, Pegasystems Inc., AntWorks, NICE Robotic Automation, KOFAX INC., softmotive, SAP SE, AutomationEdge, Eggplant, LarcAI, Kryon Systems, Autologyx Ltd., Echelon, Sanbot Innovation Technology. Ltd, Cinnamon, Inc. and Crowd Computing Systems, Inc.

Research Methodology: Global Intelligent Process Automation Market

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed 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 inquiry.

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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