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レポート概要
| 本調査資料では、世界の経営意思決定市場について調査し、イントロダクション、調査手法、エグゼクティブサマリー、市場インサイト、市場動向、コンポーネント別（ソフトウェア、サービス）分析、展開種類別（オンプレミス型、クラウド型）分析、最終用途産業別（金融、IT・通信、医療、小売、製造）分析、地域別分析、競争状況、投資分析、市場の将来などの項目を掲載しています。 ・イントロダクション ・調査手法 ・エグゼクティブサマリー ・市場インサイト ・市場動向 ・世界の経営意思決定市場規模：コンポーネント別（ソフトウェア、サービス） ・世界の経営意思決定市場規模：展開種類別（オンプレミス型、クラウド型） ・世界の経営意思決定市場規模：最終用途産業別（金融、IT・通信、医療、小売、製造） ・世界の経営意思決定市場規模：地域別 ・競争状況 ・投資分析 ・市場の将来 |
The Management Decision Market is expected to register a CAGR of 15.26% over the forecast period from 2021 – 2026. Management Decision solutions are increasingly becoming the method of choice for implementing digital transformation strategies across multiple industries. The approach of such solutions is about focusing on the high volume. These operational decisions must be made every day in the organization, including the decisions in the operational processes, the decisions of the call-center representatives, and other front line staff. Management decision solutions are required to implement business rules and even for the way to tie business rules and analytics together to manage risk, reduce fraud, and improve customer engagement. By having robust insights-driven management decision solutions, organizations are prepared to make the best decisions efficiently.
– In March 2019, Alpha, the rapid consumer feedback platform, surveyed more than 300 decision-makers to discover their primary challenges and the most effective decision-making processes. They found that the forces of change, both from the internal company organization and external market forces, have changed the nature of business decision making. 86.8% of respondents reported that their work environment is in constant flux or lacking clear, correct decisions, and 40% said that they’re motivated to change their decision-making process because of changing market conditions. Many companies have made progress in adopting data-driven decision-making frameworks and launching new products and features faster. However, decision-makers now face an overabundance of data inputs while remaining obligated to numerous stakeholders.
– The difference between a right decision and a wrong decision is less clear than ever before. Faced with this increasingly challenging decision-making environment, it’s incumbent on companies to adapt if they want to gain and maintain market leadership. In the digital age, effective decision making means taking more shots on goal and shortening iteration cycles, making various decision-makers rewarded for such an approach. According to the survey by Alpha in 2019, 82.9% of respondents said their companies measure the success of a decision by the outcome achieved while only 33.2% assess based on the process or methodology that was used to form the decision. Over 60% of respondents said that user feedback or experimentation has contributed to their most successful projects, and 37.1% said that they’d incorporated more experimentation into their decision making within the past year.
– Business processes and back-office tasks still lag in terms of end-to-end automation. Wherever a certain degree of intelligence is required in the process flow, traditional business process management approaches often fail, resulting in interrupted processes. Instances include assigning tasks to the right person, validations and calculations, document classifications, or customer segmentations. Management decision solutions can combine different methods and technologies to embed the necessary intelligence into digital business processes. The two most essential approaches to decision management are business rules management and machine learning. In business rules management, organizations define decision logic as rules. Machine learning utilizes algorithms that automatically generate insights based on experience.
– The outbreak of COVID-19 has shown immense secondary effects on the economies where some companies are seeing shutdowns of their supply chains while others are facing extreme demands, both of them leading to disrupted workforces and changed communication and decision-making process of various organizations already. Management decision solutions enable them to manage core business operations most cost-effectively and react on a day-to-day basis to the many short and longer-term effects of COVID-19. Organizations must plan, act, and adapt to ever-widening repercussions due to COVID-19 on a near-real-time basis. Containment programs require decisive intervention that can be fulfilled by effective management decision solutions to flatten the curve, keep front-line employees safe while serving customers, and align with vendors, suppliers, and third parties.
Key Market Trends
BSFI is Expected to Hold Significant Share
– Even in the digital world, various companies must meet risk management and compliance requirements. The financial and insurance industries are particularly affected by credit risk assessment, fraud detection, anti-money laundering, and digital handling of insurance claims, which are just a small selection of typical decision management use cases. Management decision solutions provide the methods and technologies to comprehensively digitalize the corresponding checks and calculations, store them centrally, and execute them consistently and automatically in all systems and business processes. Financial transactions need to be audit-proof, and transparency and traceability are central aspects of management decision solutions.
– Digital transformation and mobile banking have considerably changed communication between customers and companies. Instead of static mass communication, customers want frequent updates based on their specific requirements and situation. Be it for services or product information, customers expect the digital channels to provide the same level of customization as is available with their trusted bank advisors. ING Germany, a Dutch multinational banking and financial services corporation, opted for a combination of predictive analytics, big data, and business rules management to implement the customer’s next best action requirements. Predictive analytics ensures the selection of the correct database. Big data enables the processing and use of large amounts of data in real-time, and business rules management decisions to select and control optimal content.
– In February 2020, Milliman, Inc., a global actuarial and consulting firm, and Enova Decisions, a financial technology and analytics company, announced a strategic collaboration to bring the latest advanced analytics to insurers. The coalition brings together Milliman’s deep domain expertise and data resources and Enova Decisions’ real-time analytic capabilities, giving insurers an innovative platform for retaining customers, optimizing sales operations, and maximizing current and future value customers. Also, PNC Financial Services Group Inc. combined IBM Operational Decision Manager and IBM Business Automation Workflow software for the automation of 50 business processes and put more than five million automated business rules in production.
– Every industry has been affected by the outbreak of COVID-19, and banking is no exception. Areas such as capital, profit-and-loss, and liquidity positions have been hit very hard. The failure is not that banks used models that failed in this crisis but did not have fallback plans to manage particular decisions when the crisis occurred suddenly. Banks are increasing their focus on effectively adjusting models to make them fit for purpose and mitigate the risks of poor business decisions. The adjustments should be made quickly and efficiently and consistently to avoid undue redevelopment or readjustment costs, which give the need for an efficient management decision solution.
North America is Expected to Hold Major Share
– The North American region houses the presence of significant players such as Oracle Corporation, IBM Corporation, and SAS Institute, Inc., to name a few. The emergence of robust management decision models made different types of organizations in the North American region opting the solutions for supply chain optimization, customer management, debt collection, fraud, and financial inclusion. For instance, in 2019, Procter & Gamble (P&G), an American multinational consumer goods corporation, has optimized its consumer product transitions with the help of a management decision solution, saving millions of dollars and allowing it to reduce time spent on initiative planning. The supply chain innovation has boosted analytic efficiency by 90%, reducing the weekly analysis time to less than five minutes.
– In April 2020, FICO announced the 2019 winners of the FICO Decisions Awards, which recognize organizations achieving remarkable success using FICO management decision solutions where a significant number of North American companies were winners. For instance, BNSF Railway, one of the largest freight railroads in North America, has optimized its management of assigned train crews, allowing it to significantly reduce operational costs while complying with all union, industry, and company regulations. Discover’s PULSE Network, one’s of the USA’s leading debit/ATM networks, has dramatically improved its fraud detection, blocking 30% more fraud, increasing the value-detection rate 40%, and improving the false-positive ratio by 25%.
– In June 2020, FIS, a financial services technology company, has announced that the company is teaming up with FICO, a leader in predictive analytics and financial crime prevention to help North American financial institutions to stay ahead of the increasingly sophisticated money launderers and other financial criminals by building an advanced anti-money laundering (AML) solution. According to the U.S. Department of Treasury, in the U.S. alone, domestic financial crime generates an estimated USD 300 billion of proceeds for laundering activities. Under the collaboration, FIS AML Compliance Manager, coupled with FICO Falcon X decision management technology, will offer financial institutions a unified platform for AML risk and compliance. The new cloud-based solution will use machine learning and A.I. to detect suspicious activity and provide bank investigators with transparent, detailed intelligence.
– In June 2020, IBM band SAP SE, both US-based companies, announced their partnership’s next evolution, with plans to develop several new offerings designed to create a more predictable journey for businesses to become data-driven intelligent enterprises. Over 400 firms have modernized their enterprise systems and business processes through IBM and SAP’s digital transformation partnership. IBM’s partnership with SAP is designed to help clients increase the speed of decision making, which are made to create more meaningful experiences for their customers and employees. As the COVID-19 pandemic continues to impact many industries in the region significantly, organizations realize they have intelligent end-to-end industry workflows to enable clients to make business decisions based on data-driven insights.
Competitive Landscape
The management decision market primarily comprises multiple domestic and international players such as IBM Corporation, Oracle Corporation, SAS Institute, Inc., TIBCO Software Inc., etc. in quite a moderately fragmented and highly competitive environment. Technological advancements in the market are also bringing considerable competitive advantage to the companies, and the market is also witnessing multiple partnerships.
– May 2020 – Oracle announced Oracle Analytics for Cloud HCM to enable HR teams to enhance decision making and boost business performance. New self-service analytics capabilities provide deep insights across various areas, including manager performance, workforce composition, a span of control, diversity, turnover/retention, top talent analysis, and comparison ratio analysis.
– June 2020 – SAS Institue, Inc. announced the availability of SAS Viya 4 in late 2020, which is engineered to take advantage of the newest cloud technologies. Designed to be delivered and updated continuously, modern architecture helps bring powerful analytics to everyone. Because SAS Viya integrates the art of decision making with the science of artificial intelligence (AI) and analytics, organizations will be able to make better decisions, faster.
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1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness – Porter’s Five Force Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Assessment on the impact due to COVID-19
5 MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Increasing need for business agility which requires faster and efficient decision making
5.2 Market Restraints
5.2.1 High monetary cost involved for the implementation
6 MARKET SEGMENTATION
6.1 By Component
6.1.1 Software
6.1.2 Services
6.2 By Deployment Type
6.2.1 On-premises
6.2.2 Cloud
6.3 By End-User Industry
6.3.1 BFSI
6.3.2 IT and Telecom
6.3.3 Healthcare
6.3.4 Retail
6.3.5 Manufacturing
6.3.6 Other End-User Industries
6.4 Geography
6.4.1 North America
6.4.2 Europe
6.4.3 Asia Pacific
6.4.4 Latin America
6.4.5 Middle East and Africa
7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 IBM Corporation
7.1.2 Oracle Corporation
7.1.3 SAS Institute Inc.
7.1.4 TIBCO Software Inc.
7.1.5 FICO (Fair Isaac Corporation)
7.1.6 Pegasystems Inc.
7.1.7 SAP SE
7.1.8 Actico GmbH
7.1.9 Sapiens International Corporation
7.1.10 Equifax, Inc.
7.1.11 Scorto, Inc.
7.1.12 Experian Information Solutions, Inc.
7.1.13 Sparkling Logic, Inc.
7.1.14 InRule Technology, Inc.
7.1.15 DMC Dubai (Decision Management Consultants)
8 INVESTMENT ANALYSIS
9 FUTURE OF THE MARKET