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Hyper automation is the combination of two or more technologies such as robotic process automation, predictive analytics, and artificial intelligence. Hyper automation is used for simplifying the workflow and increase the efficiency of the manufacturing process with minimum human intervention. In hyper automation, the human interference is minimum so probability of human errors and operational cost also decreases. The existing enterprise solutions such as enterprise resource planning software, customer relationship management software forms the base for the hyper automation by extracting the relevant data.  

Global hyper automation market is expected to witness a significant growth during the forecast period (2019–2027). The market growth is majorly attributed to increasing adoption of automated manufacturing processes by various industries such as pharmaceutical. In manufacturing Industry some jobs that were done by humans previously, are now performed by the machines. For instance, in May 2019, Thermax Limited, a provider of energy solutions, automated its chemical mixing process in Dahej, Gujarat plant. The company removed workers from chemical mixing process and created algorithm for each recipe. The machine operator feeds recipe to into a system and machines follows the instructions according to the preset algorithm. Furthermore, Thermax Limited started a new highly automated facility in the Sri City, Andhra Pradesh in 2019. Due to the hyper automation solutions, company is managed to reduce the production cycle from 4o days to 15 days.

Moreover, in order to adopt the hyper automation solutions, all the systems present in the end to end process should be integrated. There are many challenges associated with the integration of system such as selecting the right tools, monolithic systems maintenance of the system. Hence, integration of the system is major restraining factor for growth of the hyper automation market over the forecast period.

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Hyper Automation Market Report Coverage

Report Coverage Details
Base Year: 2019 Market Size in 2019: USD 5.93 Bn
Historical Data for: 2016 to 2019 Forecast Period: 2020 to 2027
Forecast Period 2020 to 2027 CAGR: 18.9% 2027 Value Projection: USD 23.7 Bn
Geographies covered:
  • North America: U.S., Canada
  • Europe: U.K., Germany, Italy, France, Russia, Rest of Europe
  • Asia Pacific: China, India, Japan, ASEAN, Australia, South Korea, Rest of Asia Pacific
  • Latin America: Brazil, Argentina, Mexico, Rest of Latin America
  • Middle East and Africa: GCC Countries, South Africa, Rest of Middle East and Africa
Segments covered:
  • By Technology: Robotic Process Automation (RPA), Machine Learning (ML), Chatbots, Biometrics, Natural Language Generation, Context-aware Computing
  • By End-use Industry: Manufacturing, Automotive, Healthcare, BFSI, Retail, Others
Companies covered:

Automation Anywhere, Inc., SolveXia, Wipro Limited, UiPath, ALLERIN TECH PVT LTD, Appian, OneGlobe LLC., Mitsubishi Electric Corporation, Catalytic Inc, Infosys Limited, and Tata Consultancy Services Limited

Growth Drivers:
  • Digitalization of the traditional manufacturing plants
  • Increased adoption of automated manufacturing processes by various industries
Restraints & Challenges:
  • High initial cost of  Automation System

Figure 1. Global Hyper Automation Market Share (%), by Region, (2018)

Hyper Automation  | Coherent Market Insights

Source: Coherent Market Insights, 2018-19

Increasing Demand for Hyper Automation Solutions in Emerging Economies of Asia Pacific, Owing to Transformation of Traditional Manufacturing Plants into Fully Automated Smart Factories is expected to drive the Market Positively in the Asia Pacific Region.

Asia Pacific held a dominant position in the global hyper automation market in 2018, and is estimated to retain its dominance over the forecast period. This is attributed to rapid conversion of traditional manufacturing plants into automated plants. For instance, in November 2018, Rane Madras limited, a manufacturer of car parts, adopted automated solutions for its new plant in Gujarat of Mitsubishi Electric Corporation. Due to implementation of solutions there is significant decrease in energy consumption of plant. Moreover, various hyper automated solutions providers in India include Wipro limited, Infosys Limited, and Tata Consultancy Services Limited. These factors are expected to drive growth of the hyper automation market over the forecast period in the Asia Pacific region.

Major players operating in the global hyper automation market include Automation Anywhere, Inc., SolveXia, Wipro Limited, UiPath, ALLERIN TECH PVT LTD, Appian,  OneGlobe LLC., Mitsubishi Electric Corporation, Catalytic Inc, Infosys Limited, and Tata Consultancy Services Limited.

Figure 2. Global Hyper Automation Market Share (%), By Technology, (2018)

Hyper Automation  | Coherent Market Insights

Source: Coherent Market Insights, 2018-19

Surge in demand for robotic process automation technology across the globe is expected to drive growth of the global hyper automation market.

Among technology type, robotic process automation segment accounted for 31.2% of the market share in 2018. Moreover, machine learning is expected to be the fastest growing segment exhibiting the highest CAGR of around 44.3% during the forecast period.

Various companies are adopting the hyper automation solutions. For instance, in March 2018, HCX Technology Partners, Inc adopted the robotic process automation solutions of the Automation Anywhere, Inc. HCX Technology Partners, Inc is the technology solution provider based in Philippines. It offers online HR-Payroll platforms to various companies.

The integration of digitalization or artificial intelligence and robotic process automation technologies in a single system or process is known as the hyper automation. Mostly the robotic process automation is integrated with technologies such as natural language processing, deep learning, and machine learning. Robotic process automation mimics the machine operator behavior, while the artificial intelligence or machine learning helps in the decision making by analyzing the data. The RPA solutions along with the machine learning are able to do data processing the semi-structured and unstructured data. Hyper automation integrates each system, machine, and resource in the whole process, so the real time data is readily available at any time from any place. As the whole system is integrated the machine operator can easily send commands to the machines or instruction to another machine operator.

Market Dynamics

Retaining the existing customer is easy than the acquiring new customer. Customer relationship management software plays important role in the retention of the customer. The customer can contact the company official easily with the CRM software. Hyper automation in CRM means integrating the CRM platform with the artificial intelligence and natural language processing technology to understand the customer feedbacks and implement necessary action. The common example of the natural language processing include the spell check. For instance, according to the Coherent Market Insights analysis the customer relationship management market accounted for US$ 8.02 billion in 2018 and is expected to exhibit a CAGR of 14.5% over the forecast period. The companies now a days are integrating the customer relationship platform with hyper automation solutions to enhance the customer experience.

Moreover, the large manufacturing industries deals with hundreds of invoices on daily basis. Natural language processing reads the invoices and converts them into text format, and after that artificial intelligence feeds the data into the system. Hyper Automation software analyzes the data and selects the respective course of action. These above mentioned factors are expected to drive the global hyper automation market over the forecast period. 

Key features of the study:

  • This report provides in-depth analysis of global hyper automation market size (US$ Billion), and compound annual growth rate (CAGR %) for the forecast period (2019– 2027), considering 2018 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, regional outlook, and competitive strategy adopted by the leading  market players
  • It profiles leading players in the global hyper automation market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans
  • Companies covered as part of this study include Automation Anywhere, Inc., SolveXia, Wipro Limited, UiPath, ALLERIN TECH PVT LTD, Appian, OneGlobe LLC., Mitsubishi Electric Corporation, Catalytic Inc, Infosys Limited, and Tata Consultancy Services Limited., among others
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, product upgrades, market expansion, and marketing tactics
  • The global hyper automation market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers.
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global hyper automation market.

Detailed Segmentation

  • Global Hyper Automation market, By Technology:
    • Robotic Process Automation (RPA)
    • Machine Learning (ML)
    • Chatbots
    • Biometrics
    • Natural Language Generation
    • Context-aware Computing
  • Global Hyper Automation market, By End-use Industry:
    • Manufacturing
    • Automotive
    • Healthcare
    • BFSI
    • Retail
    • Others
  • Global Hyper Automation market, By Region:
    • North America
      • By Technology :
        • Robotic Process Automation (RPA)
        • Machine Learning (ML)
        • Chatbots
        • Biometrics
        • Natural Language Generation
        • Context-Aware Computing
      • By End-use Industry:
        • Manufacturing
        • Automotive
        • Healthcare
        • BFSI
        • Retail
        • Others
      • By Country:
        • U.S.
        • Canada
    • Europe
      • By Technology :
        • Robotic Process Automation (RPA)
        • Machine Learning (ML)
        • Chatbots
        • Biometrics
        • Natural Language Generation
        • Context-Aware Computing
      • By End-use Industry:
        • Manufacturing
        • Automotive
        • Healthcare
        • BFSI
        • Retail
        • Others
      • By Country:
        • Germany
        • U.K.
        • France
        • Italy
        • Spain
        • Russia
        • Rest of Europe
    • Asia Pacific
      • By Technology :
        • Robotic Process Automation (RPA)
        • Machine Learning (ML)
        • Chatbots
        • Biometrics
        • Natural Language Generation
        • Context-Aware Computing
      • By End-use Industry:
        • Manufacturing
        • Automotive
        • Healthcare
        • BFSI
        • Retail
        • Others
      • By Country:
        • China
        • India
        • Japan
        • Australia
        • South Korea
        • ASEAN
        • Rest of Asia Pacific
    • Latin America
      • By Technology :
        • Robotic Process Automation (RPA)
        • Machine Learning (ML)
        • Chatbots
        • Biometrics
        • Natural Language Generation
        • Context-Aware Computing
      • By End-use Industry:
        • Manufacturing
        • Automotive
        • Healthcare
        • BFSI
        • Retail
        • Others
      • By Country:
        • Brazil
        • Mexico
        • Rest of Latin America
    • Middle East
      • By Technology :
        • Robotic Process Automation (RPA)
        • Machine Learning (ML)
        • Chatbots
        • Biometrics
        • Natural Language Generation
        • Context-Aware Computing
      • By End-use Industry:
        • Manufacturing
        • Automotive
        • Healthcare
        • BFSI
        • Retail
        • Others
      • By Country:
        • GCC Countries
        • Israel
        • Rest of Middle East
    • Africa
      • By Technology :
        • Robotic Process Automation (RPA)
        • Machine Learning (ML)
        • Chatbots
        • Biometrics
        • Natural Language Generation
        • Context-Aware Computing
      • By End-use Industry:
        • Manufacturing
        • Automotive
        • Healthcare
        • BFSI
        • Retail
        • Others
      • By Country/Region:
        • North Africa
        • Central Africa
        • South Africa
  • Company Profiles
    • ALLERIN TECH PVT LTD
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/ Updates
    • Automation Anywhere, Inc.
    • Catalytic Inc
    • Infosys Limited
    • Mitsubishi Electric Corporation
    • OneGlobe LLC.
    • SolveXia
    • Tata Consultancy Services Limited.
    • UiPath
    • Wipro Limited

 “*” marked represents similar segmentation in other categories in the respective section.

Frequently Asked Questions

The global market for Hyper Automation is anticipated to reach USD 9.98 Billion by 2022.
The global Hyper Automation market is anticipated to grow at a CAGR of 18.9% during the forecast period.
Digitalization of the traditional manufacturing plants is the primary factor contributing towards the growth of global Hyper automation market during the forecast period.
Robotic Process Automation sub-segment holds the largest market share among end-use segment contributing 31.8% market share in terms of value in 2018.
North America region hold the largest share in the global Hyper Automation market in 2018, accounting for 28.7% share in terms of value.
Major players operating in the global Hyper Automation market are Automation Anywhere, Inc., SolveXia, Wipro Limited, UiPath, ALLERIN TECH PVT LTD, Appian, OneGlobe LLC., Mitsubishi Electric Corporation, Catalytic Inc, Infosys Limited, and Tata Consultancy Services Limited

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