공급망 분석의 세계시장 예측 :소프트웨어별, 서비스별, 설치 모델별, 조직 규모별, 산업별, 지역별

TABLE OF CONTENTS

1 INTRODUCTION 19
1.1 OBJECTIVES OF THE STUDY 19
1.2 MARKET DEFINITION 19
1.3 MARKET SCOPE 20
1.3.1 MARKET SEGMENTATION 20
1.3.2 REGIONS COVERED 20
1.4 YEARS CONSIDERED FOR THE STUDY 21
1.5 CURRENCY CONSIDERED 21
1.6 STAKEHOLDERS 22
2 RESEARCH METHODOLOGY 23
2.1 RESEARCH DATA 23
2.1.1 SECONDARY DATA 24
2.1.2 PRIMARY DATA 24
2.1.2.1 Breakup of primary profiles 25
2.1.2.2 Key industry insights 25
2.1.2.3 Market breakup and data triangulation 26
2.2 MARKET SIZE ESTIMATION 26
2.2.1 BOTTOM-UP APPROACH 27
2.2.2 TOP-DOWN APPROACH 27
2.3 MARKET FORECAST 28
2.4 ASSUMPTIONS FOR THE STUDY 29
2.5 LIMITATIONS OF THE STUDY 29
3 EXECUTIVE SUMMARY 30
4 PREMIUM INSIGHTS 34
4.1 ATTRACTIVE OPPORTUNITIES IN THE SUPPLY CHAIN ANALYTICS MARKET 34
4.2 SUPPLY CHAIN ANALYTICS MARKET SHARE, BY COMPONENT 34
4.3 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODEL 35
4.4 SUPPLY CHAIN ANALYTICS MARKET, BY INDUSTRY VERTICAL 35
4.5 SUPPLY CHAIN ANALYTICS MARKET, BY REGION 36
 
5 MARKET OVERVIEW 37
5.1 INTRODUCTION 37
5.1.1 DRIVERS 37
5.1.1.1 Increasing volume and velocity of data 37
5.1.1.2 Need to enhance operational and supply chain efficiencies 38
5.1.1.3 Advent of AI and machine learning into supply chain management 38
5.1.2 RESTRAINTS 38
5.1.2.1 Growing concerns for data security across enterprises 38
5.1.2.2 Inaccuracies in data sets 39
5.1.3 OPPORTUNITIES 39
5.1.3.1 Increasing adoption of cloud-based supply chain analytics 39
5.1.3.2 Increasing awareness toward the adoption of supply chain solutions 39
5.1.4 CHALLENGES 40
5.1.4.1 Lack of skilled personnel 40
5.1.4.2 Reluctance to adopt advanced analytical technologies 40
5.2 INDUSTRY TRENDS 40
5.2.1 TECHNOLOGY TYPES 41
5.2.2 SUPPLY CHAIN ANALYTICS: USE CASES 42
5.2.2.1 Use case #1: Optimizing inventory management 42
5.2.2.2 Use case #2: Identifying out-of-stock instances 42
5.2.2.3 Use case #3: Improve the distribution of products to the target audiences 42
5.2.3 ANALYTICS TYPES 43
5.2.4 ECOSYSTEM 44
6 SUPPLY CHAIN ANALYTICS MARKET, BY SOFTWARE 45
6.1 INTRODUCTION 46
6.2 DEMAND ANALYSIS AND FORECASTING 47
6.2.1 ADVANCEMENTS IN MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE TO ACCELERATE THE ADOPTION FOR DEMAND ANALYSIS AND FORECASTING SOFTWARE 47
6.3 SUPPLIER PERFORMANCE ANALYTICS 48
6.3.1 NEED FOR A UNIFIED ACCOUNT OF SUPPLIERS TO DRIVE THE MARKET GROWTH 48
6.4 SPEND AND PROCUREMENT ANALYTICS 49
6.4.1 NEED FOR BETTER CONTROL OVER EXPENDITURES TO TRIGGER THE GROWTH OF THE SPEND AND PROCUREMENT ANALYTICS SOFTWARE 49
6.5 INVENTORY ANALYTICS 50
6.5.1 NEED FOR MANAGING INVENTORY LEVELS DURING PEAKS AND TROUGHS TO TRIGGER THE UNPRECEDENTED GROWTH OF THE INVENTORY ANALYTICS SOFTWARE 50
 
6.6 TRANSPORTATION AND LOGISTICS ANALYTICS 51
6.6.1 GAINING REAL-TIME VISIBILITY INTO GLOBAL AND DOMESTIC SHIPPING AND EXECUTING TRANSPORTATION PLANS SEAMLESSLY TO PROPEL THE GROWTH OF THE TRANSPORTATION AND LOGISTICS ANALYTICS SOFTWARE 51
7 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE 52
7.1 INTRODUCTION 53
7.2 MANAGED SERVICES 54
7.2.1 POST DEPLOYMENT OF SOFTWARE, THE NEED FOR COST-EFFECTIVE SERVICES DRIVES THE MANAGED SERVICES MARKET 54
7.3 PROFESSIONAL SERVICES 55
7.3.1 CONSULTING SERVICES 56
7.3.1.1 Need for enhancing the strategic outlook of organizations to drive the growth of the consulting services segment 56
7.3.2 SUPPORT AND MAINTENANCE SERVICES 57
7.3.2.1 Initial need for support and maintenance during pre-installation and post-installation to trigger the growth of support and maintenance services 57
7.3.3 DEPLOYMENT AND INTEGRATION SERVICES 57
7.3.3.1 Need for integrating advanced analytical solutions with existing/traditional services to drive the growth of deployment and integration services 57
8 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODEL 59
8.1 INTRODUCTION 60
8.2 ON-PREMISES 61
8.2.1 NEED FOR BETTER CONTROL OVER CONFIDENTIAL DATA TO PROPEL THE ADOPTION OF ON-PREMISES SOLUTIONS 61
8.3 CLOUD 62
8.3.1 FOCUS ON IMPROVED AGILITY AND RETURN ON INVESTMENT TO DRIVE THE ADOPTION OF THE CLOUD DEPLOYMENT MODEL 62
9 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE 63
9.1 INTRODUCTION 64
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES 65
9.2.1 SMALL AND MEDIUM-SIZED ENTERPRISES TO ADOPT THE PAY-AS-YOU-GO MODEL TO FLEXIBLY MANAGE THE IT INFRASTRUCTURE AS PER THEIR REQUIREMENTS 65
9.3 LARGE ENTERPRISES 66
9.3.1 SUPPLY CHAIN ANALYTICS TO HELP LARGE ORGANIZATIONS REDUCE INFRASTRUCTURE COSTS, IMPROVE BUSINESS FUNCTIONING, AND SUSTAIN INTENSE COMPETITION 66
 
10 SUPPLY CHAIN ANALYTICS MARKET, BY INDUSTRY VERTICAL 67
10.1 INTRODUCTION 68
10.2 AUTOMOTIVE 69
10.2.1 ADVANCE RESEARCH TAKING PLACE AROUND AUTONOMOUS CARS TO BE A POTENTIAL OPPORTUNITY AWAITING FOR SUPPLY CHAIN ANALYTICS VENDORS 69
10.3 RETAIL AND CONSUMER GOODS 70
10.3.1 INVENTORY PLANNING AND OPTIMIZATION, REDUCTION IN LOGISTICS AND TRANSPORTATION COSTS, AND ENHANCED OVERALL PROFITABILITY TO ORGANIZATIONS TO DRIVE THE ADOPTION OF SUPPLY CHAIN ANALYTICS 70
10.4 F&B MANUFACTURING 71
10.4.1 NEED FOR BETTER INVENTORY OPTIMIZATION TO TRIGGER THE GROWTH OF THE F&B MANUFACTURING INDUSTRY VERTICAL 71
10.5 MACHINERY AND INDUSTRIAL EQUIPMENT MANUFACTURING 72
10.5.1 COMPANIES TO HARNESS THE POWER OF DIGITALIZATION TO STREAMLINE OPERATIONS FOR MEETING THE BUSINESS NEEDS 72
10.6 PHARMACEUTICALS 73
10.6.1 NEED TO IMPROVE SUPPLY CHAIN EFFICIENCY DUE TO INCREASE IN DRUG PATENT EXPIRATIONS AND DECREASED PROFIT MARGINS 73
10.7 GOVERNMENT 74
10.7.1 SUPPLY CHAIN ANALYTICS SOLUTIONS PROVIDE SPEND AND PROCUREMENT ANALYTICS CAPABILITIES THAT EMPOWER GOVERNMENT AGENCIES TO MINIMIZE PRICE, OPTIMIZE PERFORMANCE, AND ACHIEVE SOCIO-ECONOMIC GOALS 74
10.8 ENERGY AND UTILITIES 75
10.8.1 ORGANIZATIONS CATERING TO THE ENERGY AND UTILITIES INDUSTRY VERTICAL TO DEAL WITH GOVERNMENT POLICIES, TAX INITIATIVES, AND SUBSIDIES TO PROMOTE ENERGY CONSERVATION AND DEMAND REDUCTION 75
11 SUPPLY CHAIN ANALYTICS MARKET, BY REGION 76
11.1 INTRODUCTION 77
11.2 NORTH AMERICA 78
11.2.1 UNITED STATES 81
11.2.1.1 US to account for the largest market size in the supply chain analytics market in North America 81
11.2.2 CANADA 81
11.2.2.1 Canada to witness the highest growth rate in the supply chain analytics market in North America 81
11.3 EUROPE 82
11.3.1 UNITED KINGDOM 84
11.3.1.1 Growth of the manufacturing industry in the region to drive the market 84
11.3.2 GERMANY 85
11.3.2.1 Germany to witness the highest growth rate in the supply chain analytics market in Europe 85
 
11.3.3 FRANCE 85
11.3.3.1 France to witness significant adoption of supply chain analytics solutions in the coming years 85
11.3.4 REST OF EUROPE 85
11.4 ASIA PACIFIC 86
11.4.1 INDIA 89
11.4.1.1 Increase in investments among startups and growth of the manufacturing industry vertical in the region to trigger the supply chain analytics adoption in the region 89
11.4.2 JAPAN 89
11.4.2.1 Investments in the AI-based analytics technology to grow in Japan 89
11.4.3 CHINA 90
11.4.3.1 Emergence of mobile technologies, cloud computing, and increased automation to bolster supply chain analytics penetration in China 90
11.4.4 REST OF ASIA PACIFIC 90
11.5 LATIN AMERICA 90
11.5.1 MEXICO 93
11.5.1.1 Mexico to account for the largest market size in the supply chain analytics market in Latin America 93
11.5.2 BRAZIL 93
11.5.2.1 Brazil to witness the highest growth rate in the supply chain analytics market in Latin America 93
11.5.3 ARGENTINA 93
11.5.3.1 Demand analysis and forecasting, and inventory analytics tools to be widely adopted in the region 93
11.5.4 REST OF LATIN AMERICA 94
11.6 MIDDLE EAST AND AFRICA 94
11.6.1 MIDDLE EAST 97
11.6.1.1 Supply chain to be the next step of advancement for improving operations and services in the Middle East 97
11.6.2 AFRICA 97
11.6.2.1 Growth of the manufacturing industry vertical, coupled with the retail and consumer goods industry vertical, to boost the supply chain analytics adoption 97
12 COMPETITIVE LANDSCAPE 98
12.1 OVERVIEW 98
12.2 MICROQUADRANT OVERVIEW 98
12.2.1 VISIONARIES 98
12.2.2 INNOVATORS 98
12.2.3 DYNAMIC DIFFERENTIATORS 98
12.2.4 EMERGING COMPANIES 98
12.2.5 STRENGTH OF PRODUCT PORTFOLIO ADOPTED BY MAJOR PLAYERS IN THE SUPPLY CHAIN ANALYTICS MARKET 100
12.2.6 BUSINESS STRATEGY EXCELLENCE ADOPTED BY MAJOR PLAYERS IN THE SUPPLY CHAIN ANALYTICS MARKET 101
12.3 MARKET RANKING 102
12.4 START-UP MICROQUADRANT OVERVIEW 102
12.4.1 PROGRESSIVE COMPANIES 102
12.4.2 RESPONSIVE COMPANIES 102
12.4.3 DYNAMIC COMPANIES 102
12.4.4 STARTING BLOCKS 103
12.4.5 STRENGTH OF PRODUCT PORTFOLIO ADOPTED BY MAJOR START-UPS IN THE SUPPLY CHAIN ANALYTICS MARKET 104
12.4.6 BUSINESS STRATEGY EXCELLENCE ADOPTED BY MAJOR START-UPS IN THE SUPPLY CHAIN ANALYTICS MARKET 105
12.5 COMPETITIVE SCENARIO 106
12.5.1 NEW PRODUCT LAUNCHES AND ENHANCEMENTS 107
12.5.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS 107
12.5.3 MERGERS AND ACQUISITIONS 108
13 COMPANY PROFILES 109
(Business Overview, Software and Services Offered, Recent Developments, SWOT Analysis, and MNM View)*
13.1 IBM 109
13.2 ORACLE 112
13.3 SAP 115
13.4 SAS INSTITUTE 118
13.5 INFOR 120
13.6 MICROSTRATEGY 123
13.7 TABLEAU 125
13.8 SOFTWARE AG 128
13.9 CLOUDERA 131
13.10 DOMO 134
13.11 ROSSLYN ANALYTICS 136
13.12 SAVI TECHNOLOGY 138
13.13 VOXWARE 139
13.14 BRIDGEI2I 140
13.15 AXWAY 142
13.16 1010DATA 144
13.17 QLIK 146
13.18 THE ANYLOGIC COMPANY 148
13.19 ANTUIT 149
13.20 LOGILITY 150
13.21 TIBCO SOFTWARE 151
13.22 TARGIT 152
13.23 AIMMS 153
13.24 RELEX SOLUTIONS 154
13.25 DATAIKU 155
*Details on Business Overview, Software and Services Offered, Recent Developments, SWOT Analysis, and MNM View might not be captured in case of unlisted companies.
14 DISCUSSION GUIDE 156
14.1 DISCUSSION GUIDE 156
14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 160
14.3 AVAILABLE CUSTOMIZATIONS 162
14.4 RELATED REPORTS 162
14.5 AUTHOR DETAILS 163