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하이퍼오토메이션 동향 및 전망

세계 하이퍼오토메이션 시장은 2024년부터 2030년까지 12.2%의 연평균 성장률(CAGR)을 기록하며 2030년까지 약 227억 달러에 달할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 세계 로봇 프로세스 자동화(RPA) 기술에 대한 수요 급증, 업무 효율성 향상 및 재정적 절감에 대한 수요 증가, 고객 경험 향상 및 개인화된 서비스에 대한 수요 증가 등입니다. 세계 하이퍼오토메이션 시장의 미래는 BFSI, IT 및 통신, 소매, 교육, 제조, 자동차, 헬스케어 및 생명과학 분야에서 유망한 기회가 있을 것으로 전망되고 있습니다.

• Lucintel은 부품 카테고리에서 하드웨어가 예측 기간 동안 가장 큰 부문으로 남을 것으로 예상하고 있습니다. 이는 자동화 솔루션이 확장성, 이동성, 적응성을 통해 제조 공정에서 품질 향상, 효율성, 오류 감소 등 다양한 이점을 제공하기 때문입니다.
• 최종 사용 산업 부문에서는 IT 및 통신이 예측 기간 동안 가장 큰 부문을 차지할 것으로 보입니다. 이는 로봇 프로세스 자동화(RPA)를 통합하여 통신 기업들이 업무 업무를 간소화하는 동시에 신속하고 비용 효율적인 고품질 서비스를 제공함으로써 지속가능한 수익원을 확보할 수 있도록 지원하기 때문입니다.
• 지역별로는 북미가 예측 기간 동안 가장 큰 지역으로 남을 것으로 보입니다. 이는 업무 효율성 강화, 사업 운영 비용 절감에 대한 요구가 증가하고, 이 지역의 디지털화가 급속히 확대되고 있기 때문입니다.

하이퍼오토메이션 시장에서의 전략적 성장 기회

업무 효율성에 대한 수요가 증가함에 따라 기술 발전에 힘입어 다양한 애플리케이션에서 하이퍼오토메이션의 전략적 성장 기회가 나타나고 있습니다. 이러한 기회의 출현은 다양한 비즈니스 요구를 충족하는 자동화 솔루션을 확장할 수 있는 큰 잠재력을 보여주고 있습니다.

• 의료 및 제약 : 하이퍼오토메이션은 의료 및 제약 산업에서 효율성을 개선할 수 있는 기회를 제공합니다. 관리 업무, 데이터 관리 및 컴플라이언스 프로세스의 자동화는 이 분야에서 운영 효율성을 개선하고 비용을 절감하는 데 도움이 될 수 있습니다.
• 금융 서비스 및 은행 업무에서의 채택 : 금융 서비스 및 은행 업무는 하이퍼오토메이션의 주요 성장 기회 중 하나입니다. 거래 모니터링, 컴플라이언스, 고객 서비스 자동화를 통해 부정행위를 최소화하고 정확성을 높이며 효율성을 향상시킬 수 있습니다.
• 제조 및 공급망 통합 : 제조 및 공급망 관리의 하이퍼 오토메이션은 운영을 원활하게 하고, 생산 프로세스를 최적화하며, 재고 수준을 보다 효율적으로 관리할 수 있는 큰 진전을 이룰 수 있습니다. 이러한 첨단 자동화 기술의 새로운 물결은 생산성을 향상시키고 비용 효율성을 높일 것으로 보입니다.
• 소매업과 E-Commerce의 성장 : 소매업과 E-Commerce 업계는 고객 경험을 개선하고, 재고 관리 및 주문 처리를 간소화하기 위해 하이퍼 자동화를 활용하고 있습니다. 자동화 솔루션은 기업이 더 높은 효율성을 달성하고 더 나은 고객 참여를 보장하기 위해 오류를 줄일 수 있도록 보장할 수 있습니다.
• 정부 및 공공 서비스 도입 : 하이퍼오토메이션은 관리 업무를 자동화하고 서비스 제공 및 데이터 관리를 개선함으로써 정부 및 공공 서비스 분야에서 성장의 길을 열어줍니다. 이러한 솔루션은 정부 업무를 보다 효과적이고 투명하게 운영할 수 있는 능력을 갖추고 있습니다.

기술이 발전하고 일반적으로 수요가 증가함에 따라 하이퍼오토메이션은 전략적 성장 기회를 실현할 수 있습니다. 의료, 금융 서비스, 제조, 소매, 행정 서비스 등 다양한 분야에서 효율성과 다양한 요구 사항을 충족시킬 수 있는 기회를 제공할 수 있는 광범위한 확장이 이루어지고 있습니다.

하이퍼오토메이션 시장 활성화 요인 및 과제

하이퍼오토메이션 시장의 촉진요인과 과제에는 기술 개발, 경제적 요인, 규제 당국의 고려 사항 등이 포함됩니다.

이러한 요소들을 모두 이해하는 것은 시장을 탐색하고 성장 기회를 활용하는 데 있어 매우 중요합니다. 하이퍼오토메이션 시장을 주도하는 요인으로는 다음과 같은 것들이 있습니다.

• AI 및 로봇 공학의 기술적 진보 : AI와 로봇 공학 프레임워크의 혁신은 효율성과 의사결정을 향상시키는 복잡하고 지능적인 솔루션을 위한 멀티스킬을 부여하여 자동화 시스템의 역량을 강화함으로써 하이퍼오토메이션에 더욱 박차를 가하고 있습니다.
• 업무 효율화에 대한 수요 증가 : 업무 효율화에 대한 산업계의 수요 증가로 인해 하이퍼오토메이션의 도입이 증가하고 있습니다. 자동화 솔루션을 통해 기업은 비용을 절감하고 업무를 간소화하여 생산성을 향상시킬 수 있습니다.
• 클라우드 기반 솔루션의 확장 : 클라우드 기반 자동화 솔루션의 발전으로 확장성, 유연성, 비용 효율적인 옵션이 제공됩니다. 클라우드 기술을 통해 자동화 시스템을 배포하고 관리할 수 있기 때문에 더 많은 조직에서 자동화 시스템을 사용할 수 있습니다.
• 데이터 기반 의사결정에 집중 : 데이터 기반 의사결정은 하이퍼오토메이션의 주요 촉진요인 중 하나입니다. 자동화 시스템이 제공하는 고급 분석과 실시간 인사이트는 조직이 보다 정보에 입각한 전략적 의사결정을 내릴 수 있도록 돕습니다.
• 자동화와 기존 시스템과의 통합 : 자동화를 기존 시스템과 원활하게 통합해야 하는 필요성도 중요한 촉진요인 중 하나입니다. 우수한 통합은 다양한 측면에서 자동화 솔루션의 전반적인 효율성을 높이고, 다양한 기술에 걸쳐 원활한 운영을 지원할 수 있습니다.

하이퍼오토메이션 시장의 과제는 다음과 같습니다.

• 높은 초기 투자 비용 : 하이퍼자동화 솔루션은 매우 효과적인 개입으로 입증될 수 있지만, 중소기업에게는 도입 비용이 장벽이 될 수 있습니다. 일반적으로 첨단 기술 및 인프라에 대한 높은 선행 투자가 시장 도입에 영향을 미칩니다.
• 통합 및 도입의 복잡성 : 기존 시스템 및 프로세스와의 복잡한 통합은 하이퍼오토메이션 솔루션 도입에 있어 가장 큰 어려움 중 하나로 꼽힙니다. 기업이 애플리케이션을 실행할 수 있는 플랫폼은 매우 다양하며, 이는 새로운 자동화 기술로의 조정 및 전환을 어렵게 만듭니다.
• 보안 및 프라이버시 문제 : 자동화 시스템은 매우 민감한 데이터를 다루기 때문에 강력한 보안 및 프라이버시 보호 조치가 필요합니다. 따라서 기업은 규제 요건을 준수하는 동시에 데이터를 보호하기 위해 적절한 고급 보안 시스템을 도입해야 합니다.

목차

제1장 주요 요약

제2장 세계 하이퍼오토메이션 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계 성장 촉진요인과 과제

제3장 2018년부터 2030년까지 시장 동향과 예측 분석

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 하이퍼오토메이션 시장 동향(2018-2023년)과 예측(2024-2030년)
• 구성요소별 : 세계의 하이퍼오토메이션 시장
  • 하드웨어
  • 소프트웨어
  • 서비스
• 기술별 : 세계의 하이퍼오토메이션 시장
  • 로보틱 프로세스 자동화(RPA)
  • 생체인식
  • 자연 학습 생성
  • 상황 인식 컴퓨팅
  • 챗봇
  • 머신러닝
  • 기타 기술
• 기능별 : 세계의 하이퍼오토메이션 시장
  • 마케팅과 세일즈
  • 재무·회계
  • 인사(HR)
  • 오퍼레이션과 공급망
  • 정보기술(IT)
• 최종 이용 산업별 : 세계의 하이퍼오토메이션 시장
  • BFSI
  • IT 및 통신
  • 소매
  • 교육
  • 제조업
  • 자동차
  • 헬스케어와 생명과학
  • 기타

제4장 2018년부터 2030년까지 지역별 시장 동향과 예측 분석

• 지역별 세계 하이퍼오토메이션 시장
• 북미 하이퍼오토메이션 시장
• 유럽 하이퍼오토메이션 시장
• 아시아태평양 하이퍼오토메이션 시장
• 기타 지역 하이퍼오토메이션 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 구성요소별 : 세계의 하이퍼오토메이션 시장 성장 기회
  • 기술별 : 세계의 하이퍼오토메이션 시장 성장 기회
  • 기능별 : 세계의 하이퍼오토메이션 시장 성장 기회
  • 최종 이용 산업별 : 세계의 하이퍼오토메이션 시장 성장 기회
  • 지역별 : 세계의 하이퍼오토메이션 시장 성장 기회
• 세계의 하이퍼오토메이션 시장 최신 동향
• 전략 분석
  • 신제품 개발
  • 세계의 하이퍼오토메이션 시장 능력 확대
  • 세계의 하이퍼오토메이션 시장 합병, 인수, 합작투자
  • 인증과 라이선싱

제7장 주요 기업 개요

• ALTERYX
• SolveXia
• Mitsubishi Electric Corporation
• Catalytic Company
• Automation Anywhere
• Tata Consultancy Services
• Wipro
• Honeywell International
• OneGlobe
• Allerin Tech

영문목차

Hyper Automation Trends and Forecast

The future of the global hyper-automation market looks promising with opportunities in the BFSI, IT & telecom, retail, education, manufacturing, automotive, and healthcare & life science markets. The global hyper-automation market is expected to reach an estimated $22.7 billion by 2030 with a CAGR of 12.2% from 2024 to 2030. The major drivers for this market are a surge in demand for robotic process automation (RPA) technology worldwide, increasing demand for enhanced operational effectiveness and financial savings, and rising demand for improved customer experience and personalized services.

• Lucintel forecasts that, within the component category, the hardware will remain the largest segment over the forecast period because the automation solutions provide various advantages, such as heightened quality, efficiency, and error reduction in manufacturing processes owing to their expandability, mobility, and adaptability.
• Within the end-use industry category, IT & telecom will remain the largest segment over the forecast period as integrating robotic process automation (RPA) assists telecom companies in streamlining operational tasks and concurrently establishing sustainable revenue streams by giving fast, cost-effective, and high-quality services.
• In terms of region, North America will remain the largest region over the forecast period due to the growing need for enhanced operational efficiency, reduced business operating expenses, and the rapid expansion of digitization in this region.

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Emerging Trends in the Hyper Automation Market

In the hyper-automation market, certain emergent trends prevail owing to the changing needs of businesses and the consequent technology upgrade. These include growing integrations of AI, robotics, and data analytics for effective operational efficiency and decision-making processes.

• AI and Machine Learning Integration: With the integration of AI and machine learning into hyper-automation systems, the analysis of complex data, intelligent decision-making, and adaptation to changing conditions are strengthened. This, in turn, results in increased accuracy and efficiency in automated processes.
• Evolution of Robotic Process Automation: RPA is advancing to the next level with more advanced functionalities such as cognitive functions and decision-making support. This enables a broader range of complex tasks to be carried out with greater ease, assimilating other automation technologies to bring about greater efficiency.
• Rise of Intelligent Automation Platforms: Intelligent automation platforms combine RPA, AI, and analytics to provide holistic value propositions. These platforms enable end-to-end automation, enhanced workflow management, and better insights from data, serving overall efficiency across most business functions.
• Focus on Process Mining and Analytics: Process mining and analytics play a vital role in optimizing automated processes. An organization can view data emanating from the automation of systems, identify areas where efficiency is lacking, and develop ways to optimize workflows, making informed decisions using insights derived from data.
• High Importance of Security and Compliance: With the increased integration of automation technologies, security and compliance issues have come into focus. Providing appropriate security measures and compliance frameworks is essential for sensitive data protection and adherence to regulatory standards.

The trends in hyper-automation are therefore emerging. These include AI integration, advanced RPA, intelligent automation platforms, process mining, and advanced security. Driving at the core are efficiency, accuracy, and compliance; hence, these trends reshape the landscape. These trends point toward a movement that is inching toward sophisticated and integrated solutions in automation.

Recent Developments in the Hyper Automation Market

Key developments in hyper-automation reflect growth in technology and its induction within industries. These changes are further facilitating efficiency, enabling more sophisticated forms of automation, and driving the infusion of advanced technologies in various business processes.

• Development of AI-driven Automation Tools: With the advent of AI-driven automation, the very concept of hyper-automation has changed. Here, systems perform complex tasks, make informed decisions based on data analysis, and learn from patterns. This feature further advances the capabilities of automation solutions and their scope of application.
• Advancements in Robotic Process Automation: Recent developments in RPA involve the incorporation of a range of cognitive skills with added advanced analytics. With this enhancement, RPA systems can operate more complex processes than earlier, raising the bar for improved efficiency and becoming suitable for wider business functions.
• Growth of Intelligent Automation Platforms: There is increasing adoption of intelligent automation platforms integrated with RPA, AI, and machine learning. Such platforms provide holistic automation solutions, smooth workflows, and much-needed insights through advanced data analytics, which in turn drives operational efficiency.
• Growing Adoption of Cloud-Based Automation Solutions: The adoption of cloud-based automation solutions is becoming mainstream, offering scalability, flexibility, and economic viability. This trend facilitates easier adoption and management of automation technologies for organizations, consequently allowing them to support remote operations and dynamic business needs.
• Increased Integration and Interoperability Emphasis: As automation solutions increasingly integrate with prevailing systems, so does the drive for interoperability. This advancement assures smooth data flow and coordination across a variety of technologies to enhance overall process efficiency and effectiveness.

Recent developments in the hyper-automation market come with increased AI capabilities, RPA, intelligent automation platforms, and cloud adoption. This leads to much better efficiency, flexibility, and integration of automation solutions.

Strategic Growth Opportunities for Hyper Automation Market

The demand for operational efficiency has been increasing; hence, there have been emerging strategic growth opportunities for hyper-automation across different applications, supported by technological advancements. The emergence of these opportunities indicates great potential for expanding automation solutions to fulfill various business needs.

• Healthcare and Pharmaceuticals: Hyper-automation holds opportunities to improve efficiency in the healthcare and pharmaceutical industries. Automation of administrative work, data management, and compliance processes would prove beneficial for improving operational efficiency and reducing costs in those sectors.
• Adoption in Financial Services and Banking: Financial services and banking are among the main growth opportunities for hyper-automation. Automation in monitoring transactions, compliance, and customer services will facilitate accuracy with minimal fraud, thereby improving efficiency.
• Manufacturing and Supply Chain Integration: Hyper-automation in manufacturing and supply chain management could be a great step in smoothing operations, optimizing the production process, and managing inventory levels more efficiently. These new waves of advanced automation technologies will increase productivity and be more cost-effective.
• Growth of Retail and E-commerce: Retail and e-commerce industries are using hyper-automation for improved customer experiences, inventory management, and order fulfillment streamlining. Automation solutions can guarantee that companies achieve greater efficiency, with reduced errors to ensure better customer engagement.
• Implementation in Government and Public Services: Hyper-automation opens up avenues for growth in government and public services by automating administrative tasks and improving service delivery and data management. These solutions have the capability to make government operations much more effective and transparent.

As technology advances and demand generally grows, hyper-automation realizes strategic growth opportunities. What brings substantial opportunities for efficiency and the ability to meet diverse needs are more extensive expansions in healthcare, financial services, manufacturing, retail, and government services.

Hyper Automation Market Driver and Challenges

The driving factors and challenges include technology development, economic factors, and considerations taken up by regulatory bodies in the hyper-automation market.

Understanding all these elements is crucial for navigating the market and leveraging growth opportunities. The factors responsible for driving the hyper-automation market include:

• Technological Advancements in AI and Robotics: Innovations within the frameworks of AI and robotics have given further impetus for hyper-automation because they enhance the capability of automation systems by granting them multi-skills for complex and intelligent solutions that raise efficiency and decision-making.
• Growing Demand for Operational Efficiency: The rising industrial demand for operational efficiency is responsible for the ever-increasing adoption of hyper-automation. Automation solutions allow organizations to save on costs and streamline operations, adding to better productivity returns.
• Expansion of Cloud-Based Solutions: Advancements in cloud-based automation solutions offer scalable, flexible, and cost-effective options. Cloud technologies enable the deployment and management of automation systems, thereby increasing access for a wider range of organizations.
• Focus on Data-Driven Decision Making: Data-driven decision-making is one of the primary drivers of hyper-automation. Advanced analytics and real-time insights provided by automation systems help organizations make more informed and strategic decisions.
• Automation and Integration with Existing Systems: The need to seamlessly integrate automation with existing systems is another key driver. Good integration enhances various aspects of the overall efficiency of the automation solution and supports seamless operations across a diverse set of technologies.

Challenges in the hyper-automation market are:

• High Initial Investment Costs: While hyper-automation solutions may prove to be a very effective intervention, the cost of implementation can be a barrier for small and medium-sized enterprises. Generally, high upfront investments in advanced technologies and infrastructure affect market adoption.
• Complexity of Integration and Implementation: Complex integration with existing systems and processes is considered one of the major challenges in implementing hyper-automation solutions. There are many different platforms on which companies can run their applications, making adjustments and handling the transition to new automation technologies difficult.
• Security and Privacy Concerns: Automation systems deal with very sensitive data and, therefore, require robust security and privacy measures. This calls for organizations to ensure that proper advanced security systems are in place to protect data, along with compliance with regulatory requirements.

The major drivers and challenges highlight the need for technological innovation, cost management, and security in hyper-automation. Driving factors include AI advancements, cloud solutions, and data analytics, while major challenges arise from high costs, integration complexities, and security concerns. Understanding these elements helps navigate the landscape of hyper-automation.

List of Hyper Automation Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies hyper automation companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the hyper automation companies profiled in this report include-

• ALTERYX
• SolveXia
• Mitsubishi Electric Corporation
• Catalytic Company
• Automation Anywhere
• Tata Consultancy Services
• Wipro
• Honeywell International
• OneGlobe
• Allerin Tech

Hyper Automation by Segment

The study includes a forecast for the global hyper automation by component, technology, function, end use industry, and region.

Hyper Automation Market by Component [Analysis by Value from 2018 to 2030]:

• Hardware
• Software
• Services

Hyper Automation Market by Technology [Analysis by Value from 2018 to 2030]:

• Robotic Process Automation (RPA)
• Biometrics
• Natural Learning Generation
• Context-Aware Computing
• Chatbots
• Machine Learning
• Other Technologies

Hyper Automation Market by Function [Analysis by Value from 2018 to 2030]:

• Marketing & Sales
• Finance & Accounting
• Human Resources (HR)
• Operations & Supply Chain
• Information Technology (IT)

Hyper Automation Market by End Use Industry [Analysis by Value from 2018 to 2030]:

• BFSI
• IT & Telecom
• Retail
• Education
• Manufacturing
• Automotive
• Healthcare & Life Science
• Others

Hyper Automation Market by Region [Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Hyper Automation Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. The image below highlights recent developments by major hyper-automation producers in key regions: the USA, China, India, Japan, and Germany

• United States: In the U.S., hyper-automation is realized through significant advancements in the integration of AI and machine learning in business operations. Companies are adopting comprehensive automation platforms that combine RPA with cognitive technologies in an effort to optimize workflows and make better data-driven decisions.
• China: China is promoting hyper-automation by investing heavily in the manufacturing and service sectors with AI and robotics. Recent deployments include intelligent automation systems that improve efficiency and quality control in production, along with strong initiatives by the government and funding.
• Germany: Automation in Germany is hyper-focused on improving industrial processes with advanced robotics and AI. The adoption of Industry 4.0 technologies allows for the analytics of real-time data and the autonomous operation of systems, driving greater efficiency and innovation in manufacturing.
• India: In India, the hyper-automation market is growing due to higher adoption of RPA and AI-driven solutions across various industries. Companies are leveraging these technologies to streamline business processes, reduce operational costs, and provide scalability to fast-growing industries such as IT and telecommunications.
• Japan: Japan has the potential to be the front-runner in integrating AI, IoT, and hyper-automation technologies. With a strong emphasis on technological innovations, especially in smart factory concepts, recent advancements in automation solutions for the manufacturing and logistics industries are emerging.

Features of the Global Hyper Automation Market

Market Size Estimates: Hyper automation market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Hyper automation market size by component, technology, function, and region in terms of value ($B).

Regional Analysis: Hyper automation market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different components, technologies, functions, and regions for the hyper automation market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the hyper automation market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the hyper automation market by component (hardware, software, and services), technology (robotic process automation (RPA), biometrics, natural learning generation, context-aware computing, chatbots, machine learning, and other technologies), function (marketing & sales, finance & accounting, human resources (HR), operations & supply chain, and information technology (IT)), end use industry (BFSI, IT & telecom, retail, education, manufacturing, automotive, healthcare & life science, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
• Market Report

Table of Contents

1. Executive Summary

2. Global Hyper Automation Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Hyper Automation Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Hyper Automation Market by Component
  • 3.3.1: Hardware
  • 3.3.2: Software
  • 3.3.3: Services
• 3.4: Global Hyper Automation Market by Technology
  • 3.4.1: Robotic Process Automation (RPA)
  • 3.4.2: Biometrics
  • 3.4.3: Natural Learning Generation
  • 3.4.4: Context-Aware Computing
  • 3.4.5: Chatbots
  • 3.4.6: Machine Learning
  • 3.4.7: Other Technologies
• 3.5: Global Hyper Automation Market by Function
  • 3.5.1: Marketing & Sales
  • 3.5.2: Finance & Accounting
  • 3.5.3: Human Resources (HR)
  • 3.5.4: Operations & Supply Chain
  • 3.5.5: Information Technology (IT)
• 3.6: Global Hyper Automation Market by End Use Industry
  • 3.6.1: BFSI
  • 3.6.2: IT & Telecom
  • 3.6.3: Retail
  • 3.6.4: Education
  • 3.6.5: Manufacturing
  • 3.6.6: Automotive
  • 3.6.7: Healthcare & Life Science
  • 3.6.8: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Hyper Automation Market by Region
• 4.2: North American Hyper Automation Market
  • 4.2.1: North American Hyper Automation Market by Component: Hardware, Software, and Services
  • 4.2.2: North American Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others
• 4.3: European Hyper Automation Market
  • 4.3.1: European Hyper Automation Market by Component: Hardware, Software, and Services
  • 4.3.2: European Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others
• 4.4: APAC Hyper Automation Market
  • 4.4.1: APAC Hyper Automation Market by Component: Hardware, Software, and Services
  • 4.4.2: APAC Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others
• 4.5: ROW Hyper Automation Market
  • 4.5.1: ROW Hyper Automation Market by Component: Hardware, Software, and Services
  • 4.5.2: ROW Hyper Automation Market by End Use Industry: BFSI, IT & Telecom, Retail, Education, Manufacturing, Automotive, Healthcare & Life Science, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Hyper Automation Market by Component
  • 6.1.2: Growth Opportunities for the Global Hyper Automation Market by Technology
  • 6.1.3: Growth Opportunities for the Global Hyper Automation Market by Function
  • 6.1.4: Growth Opportunities for the Global Hyper Automation Market by End Use Industry
  • 6.1.5: Growth Opportunities for the Global Hyper Automation Market by Region
• 6.2: Emerging Trends in the Global Hyper Automation Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Hyper Automation Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Hyper Automation Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: ALTERYX
• 7.2: SolveXia
• 7.3: Mitsubishi Electric Corporation
• 7.4: Catalytic Company
• 7.5: Automation Anywhere
• 7.6: Tata Consultancy Services
• 7.7: Wipro
• 7.8: Honeywell International
• 7.9: OneGlobe
• 7.10: Allerin Tech