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レポート概要
| 本調査レポートでは支出分析の世界市場について広く調査・分析し、イントロダクション、調査手法、市場動向、種類別（予測分析、規範的分析、記述的分析）分析、用途別（財務管理、リスク管理、ガバナンス＆コンプライアンス管理、サプライヤー調達＆パフォーマンス管理、需要＆供給予測、その他）分析、地域別分析、企業概要などを含め、今後の市場展望をまとめております。 ・イントロダクション ・調査手法 ・市場動向 ・支出分析の世界市場：種類別（予測分析、規範的分析、記述的分析） ・支出分析の世界市場：用途別（財務管理、リスク管理、ガバナンス＆コンプライアンス管理、サプライヤー調達＆パフォーマンス管理、需要＆供給予測、その他） ・支出分析の世界市場：地域別 ・企業概要 |
Spend analytics is the process of aggregating, classifying, and leveraging spend data with the intention of reducing costs, improving operational performance, and ensuring compliance. It is a crucial tool used by organizations from different sectors to proactively identify savings opportunities, manage risks, and optimize the organization’s buying power.
Some of the key benefits of spend analytics include,
• Full visibility on procurement spend,
• Identifying savings opportunities and realizing incremental savings,
• Aligning and streamlining procurement processes across business units,
• Managing risk and maverick spending to ensure compliance, and
• Evaluating supplier performance for better relationship management.
According to the APQC (American Productivity & Quality Center), a training and development program involving spend analysis can significantly enhance an organization’s competitive edge. Moreover, enhancing employees’ knowledge and skills can reflect positively on productivity. Cost-effectiveness is one of the utmost priorities for any organizations and implementing spend analysis can help achieve this goal by facilitating cost reductions and ultimately, driving profitability.
Need to Predict & Control Furture Spending Among Organizations Drives Growth of Predictive Analytics Segment by Type
Growing awareness about the competitive landscape and benefits of analytics will compel businesses to adopt predictive analytics for effective decision making and money management beforehand. Not only does predictive analytics help companies predict and control their future spending, but also enables them to solve their previous spend disasters and complicated business problems.
Need to Understand Spend Problems Drives Growth of Prescriptive Analytics Segment by Type
Prescriptive analytics incorporate inbuilt features such as Business Process Management (BPM) and Inventory Management (IM). Growing demand for cloud-based platforms, Software-as-a-Service (SaaS), and Platform-as-a-Service (PaaS) is anticipated to augment the demand for prescriptive analytics in packaged applications. Prescriptive analytics is greatly allowing businesses to understand spend problems themselves without depending on data scientists and experts.
Need to Identify Spending by Division & Region Drives Growth of Descriptive Analytics Segment by Type
Descriptive Analytics is the most commonly used spend analysis technique, and this segment is anticipated to dominate the global market during the forecast period. It is a more categorized approach as it identifies spending by a particular division of the company in a particular geographic region. Descriptive spend analysis entails a user-dependent approach in which credible information is provided based on the data collected by the user. Rising demand for discrete data and accurate figures at each level of an organization is expected to bolster the segment’s growth.
Financial Management Segment to Dominate the Spend Analytics Market by Application
The financial management segment is expected to dominate the market during the forecast period. Businesses are expected to significantly invest in predictive tools and analytical software solutions that provide forecasts and insights on how to manage expenditures and help improve financial performance. Rising adoption in procurement is expected to drive the financial management segment in years to come.
Need to Curb Secutiry Breaches & Minimize Risks Drives Growth of Risk Management Segment by Application
The risk management segment is anticipated to witness significant growth in the near future. Growing incidents of crucial data breaches, information loss, and cyber hacks have compelled businesses to rethink their technological implementations and protect sensitive data. Businesses around the world face various risks related to security, finance, and operations. These risks depend on the sector that the business operates in and may pose short term or long-term threats. They create vagaries in operational processes, paving the way for financial, workforce, and asset losses.
Need to Understand Faults & Gain Effective Recommendations Drives Governance and Compliance Management Segment by Application
The governance and compliance management segment is expected to register significant growth during the forecast period. Organizations are highly dependent on different technological platforms for various activities. Incorrect operations and faulty data can lead to financial losses, which has promoted enterprises to opt for disaster recovery solutions. Spend analytics provide the ideal solution to comprehend faulty scenarios and recommend options for the companies to spend on, helping them reduce mounting risks by enabling them to take pre-empt measures by systematically discerning hazards and associated risks for smooth governance. Rising cyber-attacks are compelling companies to adhere to compliance management and administrative mandates to keep their operating systems safe and secure.
Need to Optimize Deals & Partnerships & Identify the Ones Incurring Losses Drive Growth of Supplier Sourcing and Performance Management Segment
The supplier sourcing and performance management segment is anticipated to significantly propel the demand for spend analytics in the near future. The need to collect performance data from multiple sources and harmonize them is driving the segment’s growth. Businesses are frequently engaged in numerous deals and partnerships with various dealers and suppliers. The unused or pre-mature ending of contracts often causes companies to incur losses, which is recognized as indirect spend. Various spend analytical approaches help companies minimize purchases under such agreements and vendors and also ensure legal and CSR compliance through the use of approved suppliers.
Improvements in Operational & Performance Costs Drive Applications in Demand and Supply Forecasting
Another rapidly advancing application segment is demand and supply forecasting. Spend analytics provides insights into the increase in the demand of a particular segment, which the company should target spends on. At the same time, they also alert organizations of declining demand-supply margins in particular locations. Organizations can then improve supply/delivery performance according to customer demand after taking the systematic measurement process into use. Spend analytics allows organizations to share delivery performance data with their suppliers on a transaction data level, which facilitates improvements in operational and performance costs.
Applications in Product & Process Management, Inventory Management, & Category Analysis
The others segment covers product and process management, inventory management, and category analysis. Product and process management is anticipated to grow significantly, followed by inventory management and category analysis. A company’s profit margins are dependent on its spending on products through raw material purchase, asset allocation, product development, marketing, and reverse logistics, among others. Therefore, it is important for them to have clear insights into the areas that they need to invest more in and cut down unnecessary spends that lead to financial losses.
North America’s IT BFSI market to Drive Market Growth
North America’s spend analytics market was valued at USD 578 million in 2018 and is expected to grow at a CAGR of 17.5% during the forecast period of 2019-2024. The high concentration of large multinationals is pegged to supplement the regional market’s already substantial revenue share. SAS Institute, Inc., IBM Corporation, Oracle Corporation, Coupa Software Inc., Zycus Inc., JAGGAER, Ivalua Inc., and BravoSolution SPA are among the leading market players in the region. North America is the largest contributor to the global IT BFSI market — a key sector for spending analytics. Spending analytics software providers in the U.S. are expected to make significant contributions to numerous local retailers that plan to use online platforms to expand their business. Rating of vendors, assessment of acquisition costs, discount offers’ optimization, and predicted spending rates are some of the advantages that retailers can leverage with spending analytics.
The U.K. to Drive Market Growth in Europe
Europe’s spend analytics market was valued at USD 474 million in 2018 and is expected to grow at a CAGR of 18.3% during the forecast period of 2019-2024. SAP SE, Proactis, and Rosslyn Analytics, Ltd are among the leading players in the regional market. In the U.K.’s retail supply chain, big data analytics is expected to grow considerably over the forecast period, following the manufacturing and energy sectors, as U.K. and Irish retailers are ahead of their Continental European counterparts and drive the spend analytics market.
China & India — Key Growth Contributors in Asia-Pacific
Asia-Pacific’s spend analytics market was valued at USD 455 million in 2018 and is expected to grow at a CAGR of 21.2% during the forecast period of 2019-2024. Empronc Solutions Pvt. Ltd. is one of the leading spend analytics market players from India. Asia-Pacific is expected to provide lucrative opportunities for analytics software providers due to the growing adoption of the technology in countries such as China and India, and the demand for cost-effective analytical software among SMEs.
The exponentially increasing availability of open, low-cost data centers provided by cloud vendors and the reduced cost of upfront investment for small and medium-sized are also facilitating the adoption of spend analytics solutions. Adding to this, banking, telecommunications, distinct manufacturing, federal/central government, and professional services are the five potential and leading industries in Asia-Pacific attracting the most significant investments in big data and analytics solutions. Chubb, the world’s largest publicly traded property and casualty insurance company, has established a small commercial division in Asia-Pacific dedicated to the risk management needs of Small, Medium Enterprises (SMEs).
Brazil, Followed by Argentina & Columbia, to Drive Growth in South America
South America’s spend analytics market was valued at USD 60 million in 2018 and is expected to grow at a CAGR of 19.3% during the forecast period of 2019-2024. South America is on the cusp of technological advancement on account of the increasing penetration of SMEs in countries such as Brazil and Argentina, among others. Brazil holds the largest market share in the regional market, bolstered by an increasing number of market players offering spend analytics solutions, high incomes, and changing lifestyles. Argentina and Colombia are the next key contributors to market growth in the region.
Spend Analytics Market: Key Players
There is intense competition among notable vendors in the market. Some of the prominent players in global spend analytics market are SAP, Empronc Solutions Pvt. Ltd., Ivalua Inc., GEP, JAGGAER, ZYCUS Inc, Coupa Software Inc., Proactis Holdings Plc., Rosslyn Data Technologies, Oracle, IBM, and SAS Institute Inc. Vendors are emphasizing strategic acquisitions, partnerships, and collaborations to maintain the market position.
In April 2018, SAP acquired Callidus Software Inc., a provider of SAP and cloud-based customer relationship management (CRM) solutions, to strengthen its position in the CRM market. Similarly, in November 2017, Ivalua entered into a partnership with KValue, an Italian management consulting company, with this partnership the former aims to strengthen its business in large as well as mid-markets.
Spend Analytics Market: Recent Developments
• In 2019, Coupa Software Inc. acquired Exari, a leading provider of Contract Life Cycle Management (CLM), to cement its position in Business Spend Management (BSM) and deliver measurable business value
• In 2018, Proactis Holdings Plc. acquired Esize Holdings BV, a leader in cloud-based spend management solutions
• In 2018, Oracle acquired DataFox, a leading provider of cloud-based artificial intelligence data engine, to enhance its cloud application, enabling customers to reach better decisions and even business outcomes
• In 2017, Rosslyn Data Technologies acquired Integritie (UK) Limited, a leading company of capturing and organizing unstructured data
• In 2017, JAGGAER acquired BravoSolution, a spend management solution provider, through this acquisition the former aims to become the vertically focused spend management solutions
1 Introduction
1.1 Market Definition
1.2 Market Scope
2 Research Methodology
2.1 Primary Research
2.2 Research Methodology
2.3 Assumptions & Exclusions
2.4 Secondary Data Sources
3 Market Overview
3.1 Report Segmentation & Scope
3.2 Value Chain Analysis: Global Spend Analytics Market
3.3 Key Market Trends
3.3.1 Drivers
3.3.2 Restraints
3.3.3 Opportunities
3.4 Porter’s Five Forces Analysis
3.4.1 Bargaining Power of Suppliers
3.4.2 Bargaining Power of Buyers
3.4.3 Threat of Substitution
3.4.4 Threat of New Entrants
3.4.5 Competitive Rivalry
3.5 Market Share Analysis
4 Type Overview
4.1 Introduction
4.1.1 Market Si e & Forecast
4.2 Predictive Analytics
4.2.1 Market Si e & Forecast
4.3 Prescriptive Analytics
4.3.1 Market Si e & Forecast
4.4 Descriptive Analytics
4.4.1 Market Si e & Forecast
5 Application Overview
5.1 Introduction
5.1.1 Market Si e & Forecast
5.2 Financial Management
5.2.1 Market Si e & Forecast
5.3 Risk Management
5.3.1 Market Si e & Forecast
5.4 Governance and Compliance Management
5.4.1 Market Si e & Forecast
5.5 Supplier Sourcing and Performance Management
5.5.1 Market Si e & Forecast
5.6 Demand and Supply Forecasting
5.6.1 Market Si e & Forecast
5.7 Others
5.7.1 Market Si e & Forecast
6 Regional Overview
6.1 Introduction
6.1.1 Market Si e & Forecast
6.2 North America
6.2.1 Market Si e & Forecast
6.2.2 U.S.
6.2.2.1 By Type
6.2.2.2 By Application
6.2.3 Canada
6.2.3.1 By Type
6.2.3.2 By Application
6.2.4 Mexico
6.2.4.1 By Type
6.2.4.2 By Application
6.3 Europe
6.3.1 Market Si e & Forecast
6.3.2 Germany
6.3.2.1 By Type
6.3.2.2 By Application
6.3.3 France
6.3.3.1 By Type
6.3.3.2 By Application
6.3.4 U.K.
6.3.4.1 By Type
6.3.4.2 By Application
6.3.5 Italy
6.3.5.1 By Type
6.3.5.2 By Application
6.3.6 Spain
6.3.6.1 By Type
6.3.6.2 By Application
6.3.7 Russia
6.3.7.1 By Type
6.3.7.2 By Application
6.3.8 Poland
6.3.8.1 By Type
6.3.8.2 By Application
6.3.9 Rest of Europe
6.3.9.1 By Type
6.3.9.2 By Application
6.4 Asia-Pacific
6.4.1 Market Si e & Forecast
6.4.2 Japan
6.4.2.1 By Type
6.4.2.1 By Application
6.4.3 China
6.4.3.1 By Type
6.4.3.2 By Application
6.4.4 Australia
6.4.4.1 By Type
6.4.4.2 By Application
6.4.5 India
6.4.5.1 By Type
6.4.5.2 By Application
6.4.6 South Korea
6.4.6.1 By Type
6.4.6.2 By Application
6.4.7 Vietnam
6.4.7.1 By Type
6.4.7.2 By Application
6.4.8 Indonesia
6.4.8.1 By Type
6.4.8.2 By Application
6.4.9 Malaysia
6.4.9.1 By Type
6.4.9.2 By Application
6.4.10 Singapore
6.4.10.1 By Type
6.4.10.2 By Application
6.4.11 Rest of Asia-Pacific
6.4.11.1 By Type
6.4.11.2 By Application
6.5 LATAM
6.5.1 Market Si e & Forecast
6.5.2 Bra il
6.5.2.1 By Type
6.5.2.2 By Application
6.5.3 Argentina
6.5.3.1 By Type
6.5.3.2 By Application
6.5.4 Colombia
6.5.4.1 By Type
6.5.4.2 By Application
6.5.5 Rest of LATAM
6.5.5.1 By Type
6.5.5.2 By Application
6.6 Middle East
6.6.1 Market Si e & Forecast
6.6.2 Saudi Arabia
6.6.2.1 By Type
6.6.2.2 By Application
6.6.3 Oman
6.6.3.1 By Type
6.6.3.2 By Application
6.6.4 Qatar
6.6.4.1 By Type
6.6.4.2 By Application
6.6.5 Bahrain
6.6.5.1 By Type
6.6.5.2 By Application
6.6.6 UAE
6.6.6.1 By Type
6.6.6.2 By Application
6.6.7 Rest of Middle East
6.6.7.1 By Type
6.6.7.2 By Application
6.7 Africa
6.7.1 Market Si e & Forecast
6.7.2 Nigeria
6.7.2.1 By Type
6.7.2.2 By Application
6.7.3 Tan ania
6.7.3.1 By Type
6.7.3.2 By Application
6.7.4 South Africa
6.7.4.1 By Type
6.7.4.2 By Application
6.7.5 Ghana
6.7.5.1 By Type
6.7.5.2 By Application
6.7.6 Rest of Africa
6.7.6.1 By Type
6.7.6.2 By Application
7 Company Profile
7.1 SAP
7.1.1 Company Overview
7.1.2 Financial Performance
7.1.3 Recent Developments
7.1.4 Product Portfolio
7.2 Empronc Solutions Pvt. Ltd.
7.2.1 Company Overview
7.2.2 Financial Performance
7.2.3 Recent Developments
7.2.4 Product Portfolio
7.3 Ivalua Inc.
7.3.1 Company Overview
7.3.2 Financial Performance
7.3.3 Recent Developments
7.3.4 Product Portfolio
7.4 GEP
7.4.1 Company Overview
7.4.2 Financial Performance
7.4.3 Recent Developments
7.4.4 Product Portfolio
7.5 JAGGAER
7.5.1 Company Overview
7.5.2 Financial Performance
7.5.3 Recent Developments
7.5.4 Product Portfolio
7.6 YCUS Inc
7.6.1 Company Overview
7.6.2 Financial Performance
7.6.3 Recent Developments
7.6.4 Product Portfolio
7.7 Coupa Software Inc.
7.7.1 Company Overview
7.7.2 Financial Performance
7.7.3 Recent Developments
7.7.4 Product Portfolio
7.8 Proactis Holdings Plc.
7.8.1 Company Overview
7.8.2 Financial Performance
7.8.3 Recent Developments
7.8.4 Product Portfolio
7.9 Rosslyn Data Technologies
7.9.1 Company Overview
7.9.2 Financial Performance
7.9.3 Recent Developments
7.9.4 Product Portfolio
7.10 Oracle
7.10.1 Company Overview
7.10.2 Financial Performance
7.10.3 Recent Developments
7.10.4 Product Portfolio
7.11 IBM
7.11.1 Company Overview
7.11.2 Financial Performance
7.11.3 Recent Developments
7.11.4 Product Portfolio
7.12 SAS Institute Inc.
7.12.1 Company Overview
7.12.2 Financial Performance
7.12.3 Recent Developments
7.12.4 Product Portfolio
TABLE 1 Global Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 2 Predictive Analytics, Spend Analytics Market Share by Region, 2016–2026 ($Million)
TABLE 3 Prescriptive Analytics, Spend Analytics Market Share by Region, 2016–2026 ($Million)
TABLE 4 Global Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 5 Global Spend Analytics Market Share Value, 2016–2026 ($Million)
TABLE 6 North America Spend Analytics Market Share Value by Country, 2016–2026 ($Million)
TABLE 7 North America Spend Analytics Market Share Value by Type, 2016–2026 ($Million)
TABLE 8 North America Spend Analytics Market Share Value by Application, 2016–2026 ($Million)
TABLE 9 U.S. Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 10 U.S. Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 11 Canada Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 12 Canada Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 13 Mexico Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 14 Mexico Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 15 Europe Spend Analytics Market Share Value by Country, 2016–2026 ($Million)
TABLE 16 Europe Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 17 Europe Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 18 Germany Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 19 Germany Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 20 France Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 21 France Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 22 U.K. Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 23 U.K. Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 24 Italy Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 25 Italy Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 26 Spain Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 27 Spain Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 28 Russia Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 29 Russia Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 30 Poland Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 31 Poland Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 32 Rest of Europe Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 33 Rest of Europe Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 34 Asia-Pacific Spend Analytics Market Share Value by Country, 2016–2026 ($Million)
TABLE 35 Asia-Pacific Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 36 Asia-Pacific Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 37 Japan Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 38 Japan Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 39 China Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 40 China Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 41 Australia Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 42 Australia Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 43 India Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 44 India Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 45 South Korea Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 46 South Korea Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 47 Vietnam Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 48 Vietnam Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 49 Indonesia Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 50 Indonesia Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 51 Malaysia Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 52 Malaysia Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 53 Singapore Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 54 Singapore Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 55 Rest of Asia-Pacific Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 56 Rest of Asia-Pacific Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 57 LATAM Spend Analytics Market Share Value by Country, 2016–2026 ($Million)
TABLE 58 LATAM Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 59 LATAM Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 60 Bra il Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 61 Bra il Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 62 Argentina Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 63 Argentina Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 64 Colombia Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 65 Colombia Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 66 Rest of LATAM Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 67 Rest of LATAM Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 68 Middle East Spend Analytics Market Share Value by Country, 2016–2026 ($Million)
TABLE 69 Middle East Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 70 Middle East Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 71 Saudi Arabia Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 72 Saudi Arabia Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 73 Oman Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 74 Oman Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 75 Qatar Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 76 Qatar Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 77 Bahrain Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 78 Bahrain Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 79 UAE Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 80 UAE Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 81 Rest of Middle East Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 82 Rest of Middle East Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 83 Africa Spend Analytics Market Share Value by Country, 2016–2026 ($Million)
TABLE 84 Africa Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 85 Africa Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 86 Nigeria Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 87 Nigeria Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 88 Tan ania Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 89 Tan ania Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 90 South Africa Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 91 South Africa Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 92 Ghana Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 93 Ghana Spend Analytics Market Share by Application, 2016–2026 ($Million)
TABLE 94 Rest of Africa Spend Analytics Market Share by Type, 2016–2026 ($Million)
TABLE 95 Rest of Africa Spend Analytics Market Share by Application, 2016–2026 ($Million)
LIST OF FIGURES
FIGURE 1 Global Spend Analytics Market Overview
FIGURE 2 Value Chain Analysis
FIGURE 3 Bargaining Power of Suppliers
FIGURE 4 Bargaining Power of Buyers
FIGURE 6 Threat of Substitution
FIGURE 6 Threat of New Entrants
FIGURE 7 Competitive Rivalry
FIGURE 8 Spend Analytics Market, Market Share Analysis, 2016
FIGURE 9 Global Spend Analytics Market, 2016–2026
FIGURE 10 U.S. Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 11 Canada Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 12 Mexico Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 13 Germany Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 16 France Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 16 U.K. Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 16 Italy Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 17 Spain Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 18 Rest of Europe Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 19 Japan Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 20 China Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 21 Australia Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 22 India Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 23 South Korea Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 24 Rest of Asia-Pacific Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 26 Saudi Arabia Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 26 South Africa Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 27 Bra il Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 28 Rest of LAMEA Spend Analytics Market Share, 2016–2026 ($Million)
FIGURE 29 SAP: Revenue Analysis ($Million)
FIGURE 30 SAP: Segment Revenue 2018 (%)