表紙:ビジネスルール管理の世界市場-2023年~2030年
市場調査レポート
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1347935

ビジネスルール管理の世界市場-2023年~2030年

Global Business Rules Management Market - 2023-2030

出版日: | 発行: DataM Intelligence | ページ情報: 英文 202 Pages | 納期: 約2営業日

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ビジネスルール管理の世界市場-2023年~2030年
出版日: 2023年09月11日
発行: DataM Intelligence
ページ情報: 英文 202 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要

世界のビジネスルール管理市場は、2022年に11億米ドルに達し、2023年から2030年の予測期間中にCAGR 11.7%で成長し、2030年には19億米ドルに達すると予測されています。

ビジネス環境の時代において、組織は複雑でダイナミックな雰囲気の中で運営されています。ビジネスルール管理は、市場環境、規制、顧客要件の変化に対応するビジネスルールを管理・更新する構造化されたアプローチです。また、規制要件に関連するロジックやルールを自動化することで、コンプライアンスを確保することもできます。

企業は顧客にパーソナライズされた体験を提供することに注力しています。ビジネスルール管理は、顧客の嗜好や購買履歴などに基づいてインタラクションをカスタマイズし、顧客満足度を高めることを可能にします。データ分析を活用し、情報に基づいた意思決定を行う。組織は過去のデータを使用し、そのデータからビジネスルールを改良するためのリアルタイムの洞察を見つけます。

北米は、世界のビジネスルール管理市場の1/3以上を占める成長地域のひとつであり、金融、医療、保険などの業界において厳しい規制要件があります。2023年には、米国国防総省が商用製品の取得を認める最終ルールを導入しました。システムは、規制へのコンプライアンスを保証する複雑なビジネスルールの実施を可能にします。

消費者により良いサービスを提供するために、この地域の企業はBRMSソリューションを導入しています。例えば、PNC Financial Services Groupは、BRMSを採用することで、ローンの申込みプロセスを自動化し、申込みが承認されたか拒否されたかを決定するルールを定義しました。また、Brownells Inc.は、規制の厳しい業界にサービスを提供するオンライン小売業者として、ビジネスルール管理システムを導入し、コンプライアンスを自動化しています。

ダイナミクス

ビジネスルール管理を導入する企業

ビジネスルール管理は、変化する市場環境、顧客の要求、規制要件に迅速に対応することを可能にし、この俊敏性により、企業はビジネス・プロセスとルールを迅速に適応させることができ、競合の一歩先を行くことができます。また、複雑な意思決定プロセスを自動化することで、一貫した意思決定を行うことができます。

例えば、2023年7月6日、現代の企業向けソフトウェアは、インプットを分析し、適切なアウトプットを生成するビジネスロジックに依存し、ビジネスプロセスを効果的にコードに変換します。すべてのビジネス・ロジックが固定されているわけではなく、一部のプロセスは、急速に変化する可能性のある動的な外部ルールや規制の影響を受けます。Microsoftは、NuGetまたはGitHub経由で利用可能な.NETアプリケーション用のオープンソースのRules Engineライブラリを提供しており、このライブラリはコードからルールを抽象化し、JSONファイルとして外部に保存します。

ビジネスルール作成におけるITチームへの依存を軽減

ビジネスルールの作成と修正におけるITチームへの依存を減らすことは、組織にとって大きな成長要因であり、このシフトは、ビジネスユーザーがルール管理の主導権を握ることを可能にし、効率性、敏捷性の向上、ビジネスとテクノロジー機能間のより良い連携につながります。ビジネスユーザーは、ITチームによる変更の実装を待つことなく、直接ルールを作成、修正、展開することができます。

ビジネスユーザーにルール管理の権限を与えることで、ビジネス・チームとITチームのコラボレーションが促進されます。明確なコミュニケーションとビジネス要件の理解は、成果の向上につながります。ビジネスユーザーは、IT部門に依存することなく、ルール適用に関連する問題を迅速に特定し、修正することができるため、迅速な問題解決につながります。

複雑な設計プロセス

複雑なビジネスルールの設計とモデリングは難しい課題です。ルールを正確かつ包括的に定義するには、ビジネス・プロセスとドメインの知識を深く理解する必要があります。ルールの数が増えるにつれ、それらを管理、更新、維持するタスクは圧倒的に多くなります。ルールの混乱を防ぐには、適切なガバナンスと文書化が重要です。

複雑なシステムでは、ルールが競合したり、予期せぬ形で依存し合ったりすることがあります。このようなコンフリクトの解決や依存関係の管理は、複雑で時間のかかる作業となります。ビジネスルール管理システムは、意思決定が行われるより広範なコンテキストを完全に理解できない可能性があり、最適な結果をもたらさない可能性があります。ビジネスルール管理の実装と維持は複雑なプロセスであり、ソフトウェアの実装が必要です。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • ビジネスルール管理を採用する企業
      • ビジネスルール作成におけるITチームへの依存度の低下
    • 抑制要因
      • 複雑な設計プロセス
    • 機会
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 コンポーネント別

  • サービス
  • ソフトウェア

第8章 組織規模別

  • 大企業
  • 中小企業

第9章 導入形態別

  • オンプレミス
  • クラウド

第10章 エンドユーザー別

  • BFSI
  • 政府・防衛
  • 通信・IT
  • 製造業
  • 医療
  • その他

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋
  • 中東・アフリカ

第12章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第13章 企業プロファイル

  • IBM
    • 企業概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • FICO
  • Oracle
  • PEGASYSTEMS
  • SAP
  • Broadcom
  • InRule Technology
  • Decision Management Solution
  • ACTICO
  • Experian

第14章 付録

目次
Product Code: ICT6820

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

Table of Contents

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

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us