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自動化人工智能 BPO/RPA

市場調查報告書

商品編碼

1423507

全球認知自動化市場 - 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: 約2個工作天內

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簡介目錄

概述

全球認知自動化市場在 2023 年達到 111 億美元，預計到 2031 年將達到 260 億美元，2024-2031 年預測期間CAGR為 11.6%。

認知自動化是一個綜合術語，指利用機器學習技術來自動化通常需要體力勞動才能完成的任務。因此，企業可以最佳化其工作流程，超越現有自動化技術的能力，從而實現更高水準的營運效率。認知自動化有助於減少 20-30% 的勞動力支出，並將資料處理時間減少 50-60%。

市場上認知自動化解決方案的不斷增加有助於推動全球認知自動化市場的成長。例如，2023 年 7 月 20 日，Bautomate 推出了業務流程自動化解決方案，使組織能夠簡化營運並推動成長。該產品無縫地結合了人工智慧、業務流程管理、機器人流程自動化和光學字元識別，以提高各種業務流程的效率。它提供了專門為不同規模和行業的企業提供客製化的創新解決方案，使他們能夠實現卓越的生產力水平和成功。

由於技術採用較早，北美是市場的主導地區。該地區的一些主要參與者遵循有助於促進區域市場成長的併購策略。例如，2024年1月23日，數位諮詢和解決方案公司Zuci Systems與RPA產業巨頭UiPath完成了合作。透過此次合作，客戶現在能夠利用 Zuci（北美企業的實施合作夥伴）提供的 UiPath 自動化平台專業知識。

動力學

科技不斷進步

機器學習技術和人工智慧的不斷進步顯著提高了自動化系統的認知能力。此功能有助於增強從資料中學習、理解以及做出更明智決策的能力，從而有助於各行業的廣泛採用。自然語言處理是認知自動化的重要組成部分，其進步進一步提高了系統理解和產生類似人類溝通的語言的能力。這對於聊天機器人、客戶服務和內容生成等應用程式尤其有益。

技術先進的認知自動化解決方案的不斷增加有助於推動預測期內的市場成長。例如，2021年5月4日，認知自動化公司Kanverse.ai在市場上推出了下一代認知自動化平台。 Kanverse智慧型文件處理是在Kanverse認知自動化平台的基礎上建構的。它將人工智慧與光學字元辨識、業務規則框架和自動化相結合，提供整體解決方案。

製造業擴大採用自動化

認知自動化在簡化和最佳化多樣化製造流程方面發揮關鍵作用。嵌入認知功能的機器可以分析大量資料集、識別模式並做出即時決策，從而提高營運效率。效率的提高通常表現為生產週期加快和交貨時間縮短。

認知自動化有助於製造設備的預測性維護。透過分析來自感測器和各種來源的資料，機器可以預測潛在的設備故障，從而實現及時維護並最大限度地減少停機時間。主動維護策略有可能節省成本並提高整體生產力。

市場上一些主要的參與者在製造業中採用了認知自動化。例如，2023 年 7 月 18 日，Jidoka Technologies 推出了前衛硬體產品 Fujin。該裝置旨在檢測平面上需要仔細檢查且人眼無法察覺的微小缺陷。富錦可以被電子產業用於印刷電路板。富錦可以以3至5 ppm的速度檢測產品的異常，準確率高達98%。

初始成本高

小型組織在為採用認知自動化解決方案分配大量預算方面面臨限制。此限制可能會導致採用計畫延遲或縮小。企業通常會權衡初始投資與預期投資回報 (ROI)。關於實現正回報的速度的感知風險和不確定性可能會讓組織猶豫是否要承擔高昂的前期成本。

市場上無法進行大量前期投資的主要參與者可能會落後於有能力更容易採用認知自動化的競爭對手。競爭劣勢會影響市場定位和長期永續性。巨額的初始成本可能會導致組織的財務資源緊張，影響其在創新、研究和開發等其他關鍵領域的投資能力。這種壓力可能會影響整體業務成長和競爭力。

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