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商品編碼

1347935

全球業務規則管理市場 - 2023-2030

Global Business Rules Management Market - 2023-2030

出版日期: 2023年09月11日 | 出版商:

DataM Intelligence | 英文 202 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述

全球業務規則管理市場將於 2022 年達到 11 億美元，預計到 2030 年將達到 19 億美元，2023-2030 年預測期間年複合成長率為 11.7%。

在商業格局時代，組織在複雜且動態的氛圍中運作。業務規則管理是一種結構化方法，用於管理和更新業務規則，以響應市場條件、法規和客戶需求的變化。它還通過自動化與監管要求相關的邏輯和規則來確保合規性。

企業專注於為客戶提供個性化體驗。業務規則管理使組織能夠根據客戶偏好、購買歷史記錄和其他因素客製化交互，從而提高客戶滿意度。它利用數據分析來做出明智的決策。組織使用歷史數據，並從這些數據中找到即時見解來完善業務規則。

北美是全球業務規則管理市場的成長地區之一，覆蓋超過1/3的市場，該地區在金融、醫療保健和保險等行業有著嚴格的監管要求。 2023 年，美國國防部實施了允許商業產品採購的最終規則。由於系統使組織能夠執行複雜的業務規則，以確保遵守法規。

為了更好地服務消費者，該地區的企業正在實施 BRMS 解決方案。例如，PNC Financial Services Group 通過使用 BRMS 定義規則來決定申請是否被批准或拒絕，從而實現了貸款申請流程的自動化。 Brownells Inc. 還實施了業務規則管理系統，以實現作為服務於高度監管行業的線上零售商的自動化遵守。

動力學

適應業務規則管理的公司

業務管理規則使公司能夠快速響應不斷變化的市場條件、客戶需求和監管要求，這種敏捷性使他們能夠快速調整業務流程和規則，確保在競爭中保持領先地位。它通過自動化複雜的決策流程來幫助公司做出一致的決策。

例如，2023 年 7 月 6 日，現代企業軟體依靠業務邏輯來分析輸入並生成適當的輸出，有效地將業務流程轉換為代碼。並非所有業務邏輯都是固定的，某些流程受可能快速變化的動態外部規則和法規的約束。 Microsoft 為 .NET 應用程式提供了一個開源規則引擎庫，可通過 NuGet 或 GitHub 獲取，該庫從代碼中抽象規則，並將其作為 JSON 文件存儲在外部。

減少對 IT 團隊編寫業務規則的依賴

減少對 IT 團隊編寫和修改業務規則的依賴是組織的一個重要成長因素，這種轉變使業務用戶能夠控制規則管理，從而提高效率、敏捷性並更好地協調業務和技術功能。業務用戶可以直接創建、修改和部署規則，無需等待IT團隊實施更改。

授權業務用戶管理規則可以促進業務和 IT 團隊之間更好的協作。清晰的溝通和對業務需求的理解可以改善結果。業務用戶可以快速識別並糾正與規則應用相關的問題，而無需依賴IT中介，從而更快地解決問題。

複雜的設計過程

設計和建模複雜的業務規則可能具有挑戰性。準確、全面地定義規則需要對業務流程和領域知識有深入的了解。隨著規則數量的增加，管理、更新和維護規則的任務可能會變得繁重。適當的治理和文檔對於防止規則混亂至關重要。

在複雜的系統中，規則可能會以意想不到的方式發生衝突或相互依賴。解決這些衝突和管理依賴關係可能非常複雜且耗時。業務規則管理系統可能無法完全理解做出決策的更廣泛背景，從而可能導致次優結果。實施和維護業務規則管理是一個複雜的過程，需要軟體實施。

Overview

Global Business Rule Management Market reached US$ 1.1 billion in 2022 and is expected to reach US$ 1.9 billion by 2030, growing with a CAGR of 11.7% during the forecast period 2023-2030.

In the era of the business landscape, the organization operates in a complex and dynamic atmosphere. Business rule management is a structured approach that manages and update business rule that responds to a change in market conditions, regulation and customer requirements. It also ensures compliance by automating logic and rules which is related to regulatory requirements.

Businesses are focusing on providing personalized experiences to customers. Business rule management enables organizations to customize interactions based on customer preferences, purchase history and other factors, enhancing customer satisfaction. It leverages data analytics that makes informed decisions. Organizations use historical data and from that data, they will find real-time insights for refining business rules.

North America is among the growing regions in the global business rule management market covering more than 1/3rd of the market and the region has stringent regulatory requirements in industries like finance, health care and insurance. In 2023, U.S. Department of Defense implemented finalized rules that allow commercial product acquisition. As the systems enable the organization to enforce complex business rules that ensure compliance with regulations.

To better service their consumers, businesses in the region are implementing BRMS solutions. PNC Financial Services Group, for example, automated its loan application process by employing a BRMS to define rules to decide if an application was approved or denied. Brownells Inc. also implemented a business rules management system to automate accordance as an online retailer that serves a highly regulated industry.

Dynamics

Companies Adapting Business Rule Management

The business management rule enables companies to quickly respond to changing market conditions, customer demands and regulatory requirements and this agility allows them to adapt their business processes and rules rapidly, ensuring they stay ahead of the competition. It helps companies to make consistent decisions by automating complex decision-making processes.

For instance, on 6 July 2023, Modern enterprise software relies on business logic to analyze inputs and generate appropriate outputs, effectively translating business processes into code. Not all business logic is fixed some processes are subject to dynamic external rules and regulations that can change rapidly. Microsoft offers an open-source Rules Engine library for .NET applications, available via NuGet or GitHub and this library abstracts rules from your code, storing them externally as JSON files.

Reduced Dependency on IT Teams for Writing Business Rules

Reducing dependency on IT teams for writing and modifying business rules is a significant growth factor for organizations and this shift empowers business users to take control of rule management, leading to increased efficiency, agility and better alignment between business and technology functions. Business users can directly create, modify and deploy rules without waiting for IT teams for implementing changes.

Empowering business users to manage rules fosters better collaboration between business and IT teams. Clear communication and understanding of business requirements lead to improved outcomes. Business users can quickly identify and rectify issues related to rule applications without relying on IT intermediaries, leading to quicker problem resolution.

Complex Designing Process

Designing and modeling complex business rules can be challenging. Defining rules accurately and comprehensively requires a deep understanding of business processes and domain knowledge. As the number of rules grows, the task of managing, updating and maintaining them can become overwhelming. Proper governance and documentation are crucial to prevent rule confusion.

In complex systems, rules might conflict or depend on each other in unexpected ways. Resolving these conflicts and managing dependencies can be intricate and time-consuming. Business rule management systems may not complete understanding of the broader context in which a decision is being made, potentially leading to suboptimal outcomes. Implementing and maintaining a business rule management is a complex process and it requires software implementation.

Segment Analysis

The global business rule management market is segmented based on component organization size, Deployment, end-user and region.

The Rising Demand for Services in Business Rule Management

Services are expected to account for a majority of the market share holding around 1/3rd of the global market in 2022. Automation of business processes requires clear and well-defined rules. Rule management services facilitate the automation of processes by providing a central repository for rules that can be easily integrated into workflow systems. The services ensure that rules are applied consistently across various applications and processes and leads to improved efficiency.

For instance, on 24 July 2023, a global digital business and IT services leader, NTT DATA, introduced an outsourcing service for security management known as MDR service. The service is designed to prevent incidents and minimize damage when security incidents occur. The MDR service employs highly experienced security engineers with over 20 years of incident response expertise from the company's CSIRT organization.

Geographical Penetration

Rapid Digital Transformation in Asia-Pacific

Asia-Pacific is the fastest growing region in the global business rule management market covering about 1/4th of the market. The region is undergoing rapid digital transformation to stay competitive in the global market. Business management rule helps organizations automate and optimize their business rules, enabling them to streamline processes, improve efficiency and provide better customer experiences.

Cloud platform deployment also enables the integration of numerous applications, the facilitation of new and expanded channels, the management of expenses, the monitoring of the private cloud, improved access to client data and the development of services. For example, in July 2022, the Department of Telecommunications (DoT) allowed CloudConnect Communications, a B2B virtual network operator (VNO), to operate in Mumbai and Ahmedabad.

Competitive Landscape

The major global players include: IBM, FICO oracle, PEGASYSTEMS, SAP, Broadcom, InRule Technology, Decision Management Solution, ACTICO and Experian.

COVID-19 Impact Analysis

The pandemic led to rapid changes in regulations and policies across industries. Organizations had to quickly adapt their business rules to comply with new guidelines, often requiring agile business rule management to accommodate these changes as with many employees working remotely, the need for digital collaboration and remote rule management tools became more critical. Business rule management systems that allowed for online collaboration gained more access.

Many industries experienced fluctuations in demand due to lockdowns, supply chain disruptions and shifts in consumer behavior. Business rule management systems needed to be adaptable to quickly adjust rules based on changing demand patterns. Customer preferences and expectations evolved during the pandemic. Business rule management played a role in adapting business rules to provide personalized experiences and services that catered to changing customer needs.

AI Impact

AI can analyze large datasets and historical decision-making patterns to automatically generate and refine business rules and these speeds up the rule creation process and ensures rules are based on data-driven insights. AI-powered algorithms can analyze complex and multidimensional data to make more accurate and nuanced decisions. By integrating AI with BRM organizations can optimize rule-based decisions using machine learning techniques.

AI can continuously analyze incoming data and adjust business rules in real-time, this enables organizations to respond rapidly to changing conditions and dynamic market environments. AI can predict future outcomes based on historical data, helping organizations anticipate and plan for potential scenarios and these predictions can be used to refine and adjust business rules.

AI-powered NLP can assist in interpreting and understanding complex regulations and legal documents, making it easier to convert legal requirements into actionable rules. AI can uncover hidden patterns and correlations in data that might not be apparent to human analysts and these insights can lead to the discovery of new rules and optimizations.

Russia- Ukraine War Impact

The conflict leads to disruptions in supply chains that affect the availability of goods and services. Business rule management systems might need to be adjusted to accommodate changes in suppliers, sourcing and logistics. Geopolitical tensions and conflicts lead increase changes in regulations, tariffs and trade policies. Organizations might need to update their business rule management systems to ensure compliance with new rules and regulations.

The uncertainty caused by geopolitical conflicts can lead to market volatility and fluctuations in demand. Business rule management systems are used to quickly adjust pricing strategies and supply chain rules based on changing market conditions. Organizations need to enhance their risk management rules and strategies to account for the geopolitical risks associated with the conflict. It could include evaluating and mitigating potential impacts on business operations.

By Component

Services
Software

By Organization Size

Large Enterprises
SMEs

By Deployment

On-Premises
Cloud

By End-User

BFSI
Government and Defense
Telecom and IT
Manufacturing
Healthcare
Others

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- 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 16 November 2021, FICO introduced its latest loan origination solution, named FICO Originations Solution, Powered by FICO Platform and this offering is designed to empower financial services providers to enhance the digital onboarding experience for their customers.
On October 2022, Micro Focus announced a combination of their mainframe application modernization solution with Google Cloud's Dual Run offering. Dual Run, which was announced at Google Cloud Next, leverages Micro Focus production platform technologies to speed, automate and reduce the risk of transferring mainframe programs to Google Cloud.
On 29 September 2020, Pegasystems Inc. a software company focused on enabling digital transformation for enterprises, introduced a new AI-powered capability called Value Finder, this capability is designed to assist organizations in engaging their underserved customers with personalized messages and offers tailored to their specific needs.

Why Purchase the Report?

To visualize the global business rule management market segmentation based on component organization size, Deployment, 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 business rule management 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 business rule management market report would provide approximately 69 tables, 67 figures and 202 pages.

Target Audience 2023

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

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Driver
  - 4.1.1.1. Companies Adapting Business Rule Management
  - 4.1.1.2. Reduced Dependency on IT Teams for Writing Business Rules
- 4.1.2. Restraints
  - 4.1.2.1. Complex Designing Process
- 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 Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Services*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Software

8. By Organization Size

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 8.1.2. Market Attractiveness Index, By Organization Size
8.2. Large Enterprises *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. SMEs

9. By Deployment

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 9.1.2. Market Attractiveness Index, By Deployment
9.2. On-Premises *
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Cloud

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. Government and Defense
10.4. Telecom and IT
10.5. Manufacturing
10.6. Healthcare
10.7. 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 Component
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 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 Component
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 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. Russia
  - 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 Component
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 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 Component
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 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 Component
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 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. IBM *
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. FICO
13.3. Oracle
13.4. PEGASYSTEMS
13.5. SAP
13.6. Broadcom
13.7. InRule Technology
13.8. Decision Management Solution
13.9. ACTICO
13.10. Experian

LIST NOT EXHAUSTIVE