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市场调查报告书

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1423507

全球认知自动化市场 - 2024-2031

Global Cognitive Automation Market - 2024-2031

出版日期: 2024年02月09日 | 出版商:

DataM Intelligence | 英文 204 Pages | 商品交期: 约2个工作天内

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简介目录

概述

全球认知自动化市场在 2023 年达到 111 亿美元，预计到 2031 年将达到 260 亿美元，2024-2031 年预测期间CAGR为 11.6%。

认知自动化是一个综合术语，指利用机器学习技术来自动化通常需要体力劳动才能完成的任务。因此，企业可以优化其工作流程，超越现有自动化技术的能力，从而实现更高水准的营运效率。认知自动化有助于减少 20-30% 的劳动力支出，并将资料处理时间减少 50-60%。

市场上认知自动化解决方案的不断增加有助于推动全球认知自动化市场的成长。例如，2023 年 7 月 20 日，Bautomate 推出了业务流程自动化解决方案，使组织能够简化营运并推动成长。该产品无缝地结合了人工智慧、业务流程管理、机器人流程自动化和光学字元识别，以提高各种业务流程的效率。它提供了专门为不同规模和行业的企业提供客製化的创新解决方案，使他们能够实现卓越的生产力水平和成功。

由于技术采用较早，北美是市场的主导地区。该地区的一些主要参与者遵循有助于促进区域市场成长的併购策略。例如，2024年1月23日，数位咨询和解决方案公司Zuci Systems与RPA产业巨头UiPath完成了合作。透过此次合作，客户现在能够利用 Zuci（北美企业的实施合作伙伴）提供的 UiPath 自动化平台专业知识。

动力学

科技不断进步

机器学习技术和人工智慧的不断进步显着提高了自动化系统的认知能力。此功能有助于增强从资料中学习、理解以及做出更明智决策的能力，从而有助于各行业的广泛采用。自然语言处理是认知自动化的重要组成部分，其进步进一步提高了系统理解和产生类似人类沟通的语言的能力。这对于聊天机器人、客户服务和内容生成等应用程式尤其有益。

技术先进的认知自动化解决方案的不断增加有助于推动预测期内的市场成长。例如，2021年5月4日，认知自动化公司Kanverse.ai在市场上推出了下一代认知自动化平台。 Kanverse智慧型文件处理是在Kanverse认知自动化平台的基础上建构的。它将人工智慧与光学字元辨识、业务规则框架和自动化相结合，提供整体解决方案。

製造业越来越多地采用自动化

认知自动化在简化和优化多样化製造流程方面发挥关键作用。嵌入认知功能的机器可以分析大量资料集、识别模式并做出即时决策，从而提高营运效率。效率的提高通常表现为生产週期加快和交货时间缩短。

认知自动化有助于製造设备的预测性维护。透过分析来自感测器和各种来源的资料，机器可以预测潜在的设备故障，从而实现及时维护并最大限度地减少停机时间。主动维护策略有可能节省成本并提高整体生产力。

市场上一些主要的参与者在製造业中采用了认知自动化。例如，2023 年 7 月 18 日，Jidoka Technologies 推出了前卫硬体产品 Fujin。该装置旨在检测平面上需要仔细检查且人眼无法察觉的微小缺陷。富锦可以被电子产业用于印刷电路板。富锦可以以3至5 ppm的速度检测产品的异常，准确率高达98%。

初始成本高

小型组织在为采用认知自动化解决方案分配大量预算方面面临限制。此限制可能会导致采用计画延迟或缩小。企业通常会权衡初始投资与预期投资回报 (ROI)。关于实现正回报的速度的感知风险和不确定性可能会让组织犹豫是否要承担高昂的前期成本。

市场上无法进行大量前期投资的主要参与者可能会落后于有能力更容易采用认知自动化的竞争对手。竞争劣势会影响市场定位和长期永续性。巨额的初始成本可能会导致组织的财务资源紧张，影响其在创新、研究和开发等其他关键领域的投资能力。这种压力可能会影响整体业务成长和竞争力。

Cognitive automation is a comprehensive term that refers to the utilization of Machine Learning technologies for automating tasks that would typically demand manual labor to be completed. Consequently, businesses can optimize their workflows beyond the capabilities of existing automation technologies, achieving a higher level of operational efficiency. Cognitive automation helps to decrease labor expenditure by 20-30% and also reduces data processing time by 50-60%.

The growing availability of cognitive automation solutions in the market helps to boost the market growth of the global cognitive automation market. For instance, on July 20, 2023, Bautomate launched a business process automation solution to empower organizations to streamline operations and drive growth. The product seamlessly combines artificial intelligence, business process management, robotic process automation and optical character recognition to boost the effectiveness of a wide range of business processes. It presents an innovative solution tailored to empower businesses across different sizes and industries, allowing them to achieve exceptional levels of productivity and success.

North America is a dominating region in the market due to the early adoption of the technologies. Some of the major key players in the region follow a merger and acquisition strategy that helps to boost regional market growth. For instance, on January 23, 2024, Zuci Systems, a digital consulting and solutions company completed a collaboration with UiPath, a titan in the RPA industry. Due to the collaboration, customers are now able to leverage UiPath automation platform expertise offered by Zuci, the implementation partner to enterprises across the North America.

Dynamics

Growing Technological Advancements

The growing advancements in machine learning techniques and artificial intelligence significantly improve the cognitive abilities of automation systems. The capability helps to enhance learning from data, comprehension and the ability to make more informed decisions, contributing to widespread adoption across various industries. Advancements in natural language processing, a vital element of cognitive automation, further improve the system's capacity to comprehend and generate language that resembles human communication. The is especially beneficial in applications like chatbots, customer service and content generation.

The growing availability of technologically advanced cognitive automation solutions helps to boost market growth over the forecast period. For instance, on May 04, 2021, Kanverse.ai, a cognitive automation company launched a next-generation cognitive automation platform in the market. The Kanverse Intelligent Document Processing is constructed on the foundation of the Kanverse Cognitive Automation platform. It combines Artificial Intelligence with Optical Character Recognition, a Business Rule Framework and Automation to provide a holistic solution.

Growing Adoption of Automation in the Manufacturing Industry

Cognitive automation plays a pivotal role in streamlining and optimizing diverse manufacturing processes. Machinery embedded with cognitive capabilities can analyze extensive datasets, recognize patterns and make instantaneous decisions, resulting in heightened operational efficiency. The enhanced efficiency frequently manifests in accelerated production cycles and diminished lead times.

Cognitive automation facilitates predictive maintenance in manufacturing equipment. Through the analysis of data derived from sensors and various sources, machines can anticipate potential equipment failures, enabling timely maintenance and minimizing downtime. The proactive maintenance strategy has the potential to generate cost savings and enhance overall productivity.

Some of the major key players in the market adopted cognitive automation for the manufacturing industry. For instance, on July 18, 2023, Jidoka Technologies launched Fujin, an avant grade hardware unit. The unit is designed to detect small and minor defects in the flat surface that require crupulous inspection and are imperceptible to the human eye. Fujin can be leveraged by the electronics industry for printed circuit boards. Fujin can detect anomalies in products with a speed of 3 to 5 ppm and an accurate rate of 98%.

High Initial Cost

Small organizations face constraints in allocating significant budgets for adopting cognitive automation solutions. The limitation may result in delayed or scaled-down adoption plans. Businesses often weigh the initial investment against the expected return on investment (ROI). The perceived risk and uncertainty regarding the speed of realizing positive returns can make organizations hesitant to commit to the high upfront costs.

Major key players in the market who are unable to make substantial upfront investments may lag behind competitors who can afford to adopt cognitive automation more readily. The competitive disadvantage can affect market positioning and long-term sustainability. The substantial initial costs can strain an organization's financial resources, affecting its ability to invest in other critical areas such as innovation, research and development. The strain may impact overall business growth and competitiveness.

Segment Analysis

The global cognitive automation market is segmented based on type, deployment, organization size, end-user and region.

Growing Demand for Monitoring Services Globally

Based on the type, the cognitive automation market is segmented into robotic process automation and intelligent automation. Organizations can automate rule-based and repetitive operations by combining robotic process automation (RPA) with cognitive capabilities. The reduces human labor requirements, which boosts efficiency.

It also results in considerable cost savings since procedures can be completed more quickly and accurately. Cognitive automation technologies, such as natural language processing and machine learning, let robots understand and analyze complicated data. The skill offers insights that might not be immediately obvious through conventional approaches, which helps promote more informed decision-making.

The growing adoption by the major key players of robotic cognitive automation helps to boost segment market growth over the forecast period. For instance, on March 09, 2023, Compass UOL launched an accelerator that integrates ChatGPT to robotic process automation platforms. The company offers two new technologies such as API and RPA.

ChatGPT stands out as a highly robust Generative AI application in the global technology market. Its foundation lies in OpenAI's GPT-3.5, boasting an impressive 175 billion parameters. The extensive parameter count empowers ChatGPT to excel in diverse interactions, including extracting and summarizing information seamlessly in a chat format, as well as generating texts across various genres and purposes.

Geographical Penetration

North America is Dominating the Cognitive Automation Market

North America accounted for the largest market share in the global cognitive automation market due to the early adoption of new technologies that play an important role in the cognitive automation ecosystem. North America generally has a robust and well-developed IT infrastructure. The includes high-speed internet, data centers and cloud computing services, which are crucial for the deployment and operation of cognitive automation systems.

Growing research and development activities by the cognitive automation by major key players in the region help to boost regional market growth over the forecast period. For instance, on December 14, 2023, ArisGlobal, a creator of LifeSphere today launched LifeSphere NavaX, a cutting-edge cognitive computing engine to expedite R&D IT Digitization by leveraging advanced technologies including Large Language Models (LLM) and Generative AI (Gen AI).

Competitive Landscape

The major global players in the market include Automation Anywhere, Inc., Blue Prism Limited., EdgeVerve Systems Limited, FPT Software, KOFAX, Inc., NICE, NTT Advanced Technology Corporation, OnviSource, Inc., Pegasystems Inc. and UiPath.

COVID-19 Impact Analysis

The availability of hardware components and IT infrastructure was affected by disruptions in the global supply chain. The influenced the deployment and implementation of cognitive automation solutions for some organizations, as they faced challenges related to procurement and logistics. Cognitive automation tools are helpful to support remote work processes and have become increasingly prominent.

The COVID-19 epidemic brought to light the importance of implementing strong organizational procedures. Cognitive automation solutions are growing useful for companies that face uncertainty because they boost decision-making, reduce manual participation and increase efficiency in operations. The pandemic's effects on global supply chains disrupted hardware components and IT infrastructure availability. The impacted the deployment and implementation of cognitive automation solutions for some organizations.

Russia-Ukraine War Impact Analysis

Geopolitical conflicts disrupt supply chains and affect the production and distribution of technology components and solutions. Major key players in the market depend on hardware or software components from the affected regions that face supply chain disruption challenges. Economic uncertainties frequently arise from geopolitical tensions, potentially causing businesses to exhibit reluctance in investing in new technologies or extending their operations. The hesitation can have repercussions on the expansion of the cognitive automation market.

Fluctuations in currency values resulting from geopolitical events can influence the pricing of technology products and services. Businesses that operate with various currencies may encounter financial obstacles, impacting their capacity to invest in cognitive automation solutions. Geopolitical occurrences may trigger modifications in regulations, influencing the compliance obligations for enterprises. Alterations in laws related to data protection, export/import regulations or intellectual property can exert an impact on the cognitive automation market.

By Type

Robotic Process Automation
Intelligent Automation

By Deployment

Cloud-based
On-Premise

By Organization Size

Small and Medium-sized Enterprises (SMEs)
Large Enterprises

By End-User

BFSI
Pharma & Healthcare
Retail & Consumer Goods
Information Technology (IT) & Telecom
Communication and Media & Education
Manufacturing
Logistics and Energy & Utilities
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

On May 04, 2021, Kanverse.ai launched next-generation cognitive automation platform and launches intelligent document processing product in the market. Kanverse Intelligent Document Processing is developed on the foundation of the Kanverse Cognitive Automation platform. The comprehensive solution integrates Artificial Intelligence (AI) with Optical Character Recognition, a Business Rule Framework and Automation capabilities.
On May 14, 2023, TCS launched 5G-enabled 'Cognitive Plant Operations Adviser' for industrial cos.
On November 09, 2022, Alibaba Cloud introduced the ModelScope platform and new solutions to minimize the barrier to commercializing company innovation. At its premier conference, the largest cloud services provider globally also introduced a fresh series of serverless database solutions and bolstered its integrated platform for data analytics and cognitive computing. The enhancements aim to help clients achieve heightened business innovation through the utilization of cloud technologies.

Why Purchase the Report?

To visualize the global cognitive automation market segmentation based on type, deployment, organization size, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of cognitive automation market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global cognitive automation market report would provide approximately 70 tables, 65 figures and 204 Pages.

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Type
3.2. Snippet by Deployment
3.3. Snippet by Organization Size
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Growing Technological Advancements
  - 4.1.1.2. Growing Adoption of Automation in the Manufacturing Industry
- 4.1.2. Restraints
  - 4.1.2.1. High Initial Cost
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Type

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 7.1.2. Market Attractiveness Index, By Type
7.2. Robotic Process Automation*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Intelligent Automation

8. By Deployment

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 8.1.2. Market Attractiveness Index, By Deployment
8.2. Cloud-based*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. On-Premise

9. By Organization Size

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 9.1.2. Market Attractiveness Index, By Organization Size
9.2. Small and Medium-sized Enterprises (SMEs)*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Large Enterprises

10. By End-User

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.1.2. Market Attractiveness Index, By End-User
10.2. BFSI*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Pharma & Healthcare
10.4. Retail & Consumer Goods
10.5. Information Technology (IT) & Telecom
10.6. Communication and Media & Education
10.7. Manufacturing
10.8. Logistics and Energy & Utilities
10.9. Others

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. U.S.
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Spain
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.7.1. Brazil
  - 11.4.7.2. Argentina
  - 11.4.7.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. Automation Anywhere, Inc.*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. Blue Prism Limited.
13.3. EdgeVerve Systems Limited
13.4. FPT Software
13.5. KOFAX, Inc.
13.6. NICE
13.7. NTT Advanced Technology Corporation
13.8. OnviSource, Inc.
13.9. Pegasystems Inc.
13.10. UiPath

LIST NOT EXHAUSTIVE