Predictive Analytics Market by Type (Services, Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics)), Deployment, Organization, Industry Vertical - Global Forecast to 2022
[163 pages Report] The global predictive analytics market is expected to grow from USD 4.56 billion in 2017 to USD 12.41 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 22.1%. Predictive analytics assists companies in determining the patterns of data, predicting the future outcomes and trends, anticipating events, spotting anomalies, forecasting using the what-if simulations, and understanding changes in customers’ behavior. The predictive analytics market is expanding with the emergence of new applications and technologies. Predictive analytics is being used in various domains including financial analytics, risk analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply chain analytics, and network analytics. The base year considered for the study is 2016, and the forecast has been provided for the period between 2017 and 2022.
Market Dynamics
Drivers
- Increasing volumes of data generated across all industries
- Growing focus on market and competitive intelligence
- Need for advanced analytics for to predict future outcomes and customer requirements
Restraints
- Changing regulations leading to the restructuring of analytics model
Opportunities
- Increasing awareness accelerating the development of better analytics tools
- Advent of machine learning and AI
Challenges
- Ownership and privacy of the collected data
- Data ecosystems and exchanges
The telecommunication and IT industry is expected to grow at the highest CAGR during the forecast period.
Telecom companies are thriving to be innovative and maximize their revenue by implementing right tools at the right place to harness massive volume, type, format, and velocity of data in order to leverage on actionable insights from that data. Telecommunication companies are managing terabytes of data stored in silos and scattered across the organization. Thus, for faster and easier processing of useful data, telcos are searching for a driven data advanced analytics solution to achieve accurate real-time insights through data mining and predictive analytics.
The following are the major objectives of the study.
- To describe and forecast the predictive analytics market, based on type (solutions and services), deployment, organization sizes, industry verticals, and regions
- To describe and forecast the predictive analytics market, in terms of value, by region–Asia Pacific (APAC), Europe, North America, Latin America, and Middle East and Africa (MEA)
- To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and challenges)
- To strategically analyze micro markets with respect to individual growth trends, prospects, and contributions to the overall market
- To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the predictive analytics ecosystem
- To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing competitive landscape for market leaders
- To analyze strategic approaches such as product launches, acquisitions, agreements, and partnerships in the predictive analytics market
The research methodology used to estimate and forecast the predictive analytics market begins with capturing data on key vendor revenues through secondary research, which includes directories and databases (D&B Hoovers, Bloomberg Businessweek, and Factiva). The vendor offerings have also been taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global predictive analytics market that was derived from the revenue of the key players in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key people, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments.
?To know about the assumptions considered for the study, download the pdf brochure
The Predictive Analytics ecosystem comprises vendors such as Alteryx (US), AgilOne (US), Angoss Software (Canada), Domino Data lab (US), Dataiku (US), Exago (US), FICO (US), GoodData (US), IBM (US), Information Builders (US), Kognitio (UK), KNIME.COM (Switzerland), MicroStrategy (US), Microsoft (US), NTT Data (Japan), Oracle (US), Predixion Software (US), RapidMiner (US), QlikTech (US), Sisense (US), SAP (Germany), SAS Institute (US), Tableau Software (US), TIBCO (US), and Teradata (US). Other stakeholders of the Predictive Analytics market include vendors, research organizations, network and system integrators, predictive analytics managed service providers, Business Intelligence (BI) solution providers, marketing analytics executives, third-party providers, and technology providers.
Major Market Developments:
- In April 2017, The Weather Company, an IBM business introduced new outage prediction solution particularly designed to assist utility companies to proactively be prepared for and respond to weather-related outages. This new solution is to enable storm operations and emergency management teams to make more informed decisions to enhance restoration times and save the utility millions of dollars annually.
- In February 2017, Oracle expanded its IoT portfolio with the introduction of 4 new cloud solutions to assist businesses to fully utilize the advantages of the digital supply chain. By applying advanced predictive analytics to devise signals, IoT applications can help in automating business processes and operations across the supply chain to enhance customer experience.
- In March 2015, Microsoft acquired Revolution Analytics, a provider of services for the open source R programming language for statistical computing and predictive analytics. This will strengthen Microsoft’s analytics offerings.
Key Target Audience for Predictive Analytics Market
- Service providers and distributors
- Predictive Analytics application builders
- Independent Software Vendors (ISVs)
- Analytics consulting companies
- Enterprises
- End-users
Scope of the Predictive Analytics Market Research Report
By Type
- Service
- Solution
- Financial Analytics
- Risk Analytics
- Marketing Analytics
- Sales Analytics
- Customer Analytics
- Energy management
- Web and Social Media Analytics
- Supply Chain Analytics
- Network Analytics
- Others (HR Analytics and Legal Analytics)
By Services
- Managed services
- Professional services
- Consulting services
- Support and maintenance
By Deployment Model
- On-premises
- Cloud
By Organization Size
- Small and Medium Enterprises (SMEs)
- Large enterprises
By Industry Vertical
- Retail and eCommerce
- Manufacturing
- Government and Defense
- Healthcare and Life Sciences
- Energy and Utilities
- Telecommunication and IT
- Transportation and Logistics
- BFSI
- Others (Media and Entertainment, Travel and Hospitality, and Education)
By Region
- North America
- Europe
- APAC
- Latin America
- MEA
Critical questions which the report answers
- What are new application areas which the predictive analytics companies are exploring?
- Which are the key players in the market and how intense is the competition?
Available Customizations
Based on the given market data, MarketsandMarkets offers customizations in the reports as per the client’s specific requirements. The available customization options are as follows:
Product Analysis
- Product matrix gives a detailed comparison of the product portfolio of each company
Geographic Analysis
- Further breakdown of the North American Predictive Analytics market
- Further breakdown of the European Predictive Analytics market
- Further breakdown of the APAC Predictive Analytics market
- Further breakdown of the Latin American Predictive Analytics market
- Further breakdown of the MEA Predictive Analytics market
Company Information
- Detailed analysis and profiling of additional market players (Up to 5)
The global predictive analytics market is expected to grow from USD 4.57 billion in 2018 to USD 12.41 billion by 2022 at a CAGR of 22.1%. Increasing volumes of data generated across various industries, growing focus on market and competitive intelligence, and the need for advanced analytics to predict future outcomes and customer requirements are the key factors driving the growth of this market.
Traditional analytics platforms use static and stored data to analyze simple or complex patterns and react to any business situation. These platforms may take days to analyze and weeks to act on the stored data. However, predictive analytics has the advanced analytics capability of extracting meaningful information from present as well as historical data sets. It assists companies in determining patterns in data, predicting the future outcomes and trends, anticipating events, spotting anomalies, forecasting using the what-if simulations, and understanding changes in customers’ behavior. The predictive analytics technology is the core enabler of big data, allowing businesses to use historical data and combined it with customer insights to predict future events. The combination of real-time data streams, AI, machine learning, and predictive analytics has the potential of delivering competitive business advantages.
The predictive analytics market has been segmented into solution and service. Solutions considered for the predictive analytics market include financial analytics, risk analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply chain analytics, network analytics, and others (HR analytics and legal analytics). Services include managed services and professional services. Professional services are further classified into consulting, and support and maintenance. The risk analytics solutions segment is expected to have the largest market size in the predictive analytics solutions market. The customer analytics solutions segment is expected to witness the highest growth rate during the forecast period.
The predictive analytics market in APAC is expected to grow at the highest CAGR during the forecast period. Growing technology investments and improving penetration of the retail and manufacturing sector are expected to drive the market growth of APAC during the forecast period. The BFSI industry is one of the biggest industries in the APAC region, followed by manufacturing, and telecommunications and IT. Due to the global competition, higher productivity at low cost has become the highest priority for local manufacturers, which need to be addressed immediately to stay competitive in the market. Companies in this region continue to focus on improving their customer service to drive the competitive differentiation and revenue growth. This is pushing companies to explore hosted and cloud alternatives for premises-based systems. Fast-growing countries, such as China, India, Singapore, Malaysia, and Australia are rapidly moving toward cloud adoption.
Proliferation of data, growing focus on market and competitive intelligence, and the need for advanced analytics to predict future outcomes and customer requirements drive the growth of predictive analytics market
Financial Analytics
In the current competitive business scenarios, companies need more than accurate financial statements and reports from its financial analytics. Companies now need more forward-looking, predictive insights that can help them shape impactful business strategy and improve the day-to-day decision-making in real time. Financial analytics solution with predictive analytics capability can assist companies by combining internal financial information and operational data with external information such as social media, demographics, and customer trading habits which may address critical business questions with unprecedented ease, speed, and accuracy.
Risk Analytics
Risk analytics mainly cover the enterprise risk associated with financial risk, operations risk, or risk associated with organization’s network efficiency. Organizations use risk analytics solution to enhance their risk intelligence capabilities to fight risk exposures. By using advanced analytical frameworks, companies can avoid, address, or quickly recover from major risk events.
Marketing Analytics
Marketing analytics is important for measuring, managing, and analyzing marketing performance to maximize the effectiveness of marketing campaigns and optimize Return on Investment (ROI). Marketing analytics can offer profound insights into customer preferences and trends. It gathers data from across all marketing channels and consolidates it into a common marketing view. From this common view, companies can extract analytical results that can provide invaluable assistance in driving their marketing efforts.
Sales Analytics
Sales analytics helps the sales executives to identify cross-sell and up-sell opportunities for its existing clientele, analyze pipeline opportunities, generate business from new clientele, maximize value from their CRM applications, and analyze customer spending trends. Sales analytics with predictive analytics capabilities enables executives to leverage from varying customer behavior and determine actionable sales targets. It provides methods to identify, comprehend, model, track, and augment organization’s sales performance through predictive models. Sales analytics also helps sales representatives to track customer and product performance at every stage and assist the sales executives from lead generation to deal closures.
Customer Analytics
Customer analytics is used by companies to better understand customer behavior and make strategic business decisions through customer segmentation and predictive analytics. It is a systematic analysis of the customer insights, which assist the organization to identify and target the customers for marketing programs from their behavioral prediction. It helps organizations to retain the existing customers, maximize the customer lifecycle value, and gain customer loyalty.
Web and Social Media Analytics
The web and social media analytics solutions analysis entire web-based and social media data for measuring, collecting, analyzing, and reporting of internet data for the purposes of understanding and optimizing customer’s web usage. This solution assists to monitor traction and engagement with online customer messages while exploring the challenges and potential controversies around aligning marketing strategy. Rising need of digital marketers, advertisers, and publishers to segment their premium buyers from other customers, track the overall website and social media pages visitor traffic, manage ad campaigns, and improve complete web and social media performance.
Supply Chain Analytics
Supply chain analytics aims to improve operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational, and tactical levels. It assists companies to deliver growth in revenues, improve margins, manage working capital in a better way and enhance the overall control points across the supply chain. Companies across all industries witnessing petabytes of data being generated across their supply chain, from procurement and sourcing of raw materials from manufacturing, distribution, and logistics of the refined goods. The businesses thus need to extract useful insights from this huge data which further helps the business owners in making effective strategic decisions.
Network Analytics
Network analytics solution assists companies to identify and resolve most of the IT infrastructure issues before they impact operational performance. It enables organizations to monitor and analyze the data running across the network to optimize network performance and assists in taking proactive measures. The number of connected devices across the world is expected to grow enormously in the coming years with the increasing adoption of IoT, which in turn will be responsible for increasing the complexity on the networks. To tackle this situation and to make a mark in the dynamic telecom environment, adoption of network analytic solutions is expected to rise significantly in the coming years.
Critical questions the report answers:
- Where will all these developments take the industry in the mid to long term?
- What are the upcoming industry applications for predictive analytics?
Changing regional data regulations leading to the restructuring of analytics solutions to meet changing data requirements are the major factors restraining the growth of the market. Opportunities such as the increased awareness has accelerated the development of better analytics tools, and the advent of machine learning and Artificial Intelligence (AI) is enhancing the predictive analytics market.
Key players in the market include SAS Institute (US), IBM (US), SAP (Germany), Microsoft (US), FICO (US), RapidMiner (US), Angoss Software (Canada), and Tableau Software (US). These vendors have adopted different growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their offerings in the predictive analytics market.
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders
2 Research Methodology (Page No. - 19)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.1.1 Key Industry Insights
2.2 Market Size Estimation
2.3 Microquadrant Methodology
2.3.1 Vendor Inclusion Criteria
2.4 Research Assumptions
2.5 Limitations
3 Executive Summary (Page No. - 27)
4 Premium Insights (Page No. - 32)
4.1 Attractive Opportunities in the Predictive Analytics Market
4.2 Market, By Region
4.3 Market, By Industry Vertical and Region
4.4 Life Cycle Analysis, By Region, 2017
5 Predictive Analytics Market Overview and Industry Trends (Page No. - 36)
5.1 Market Overview
5.1.1 Introduction
5.1.2 Market Dynamics
5.1.2.1 Drivers
5.1.2.1.1 Increasing Adoption of Predictive Analytics for Forecasting Future Market Trends
5.1.2.1.2 Enterprises’ Need for Ensuring Market Competitiveness
5.1.2.1.3 Growing Adoption of Big Data and Other Related Technologies
5.1.2.2 Restraints
5.1.2.2.1 Changing Regional Data Regulations Leading to the Time-Consuming Restructuring of Predictive Models
5.1.2.3 Opportunities
5.1.2.3.1 Increasing Awareness Accelerating the Development of Better Analytics Tools
5.1.2.3.2 Advent of Machine Learning and AI
5.1.2.4 Challenges
5.1.2.4.1 Ownership and Privacy of the Collected Data
5.1.2.4.2 Data Ecosystems and Exchanges
5.2 Industry Trends
5.2.1 Predictive Analytics: Use Cases
5.2.1.1 Use Case #1: Deliver Personalized Interactions
5.2.1.2 Use Case #2: Understand Buying Patterns
5.2.1.3 Use Case #3: Increase Revenue and Decrease Customers’ Business Inefficiencies
5.2.1.4 Use Case #4: Market Basket Analysis
5.3 Predictive Analytics Process
5.4 Regulatory Implications
5.4.1 Sarbanes-Oxley Act of 2002
5.4.2 General Data Protection Regulation
5.4.3 Basel
6 Predictive Analytics Market Analysis, By Type (Page No. - 46)
6.1 Introduction
6.2 Solutions
6.2.1 Financial Analytics
6.2.1.1 Fraud Detection
6.2.1.2 Profitability Management
6.2.1.3 Governance and Compliance Management
6.2.1.4 Others
6.2.2 Risk Analytics
6.2.2.1 Cyber Risk Management
6.2.2.2 Operational Risk Management
6.2.2.3 Credit and Market Risk Management
6.2.2.4 Others
6.2.3 Marketing Analytics
6.2.3.1 Predictive Modelling
6.2.3.2 Yield Management
6.2.3.3 Product and Service Development Strategies
6.2.3.4 Others
6.2.4 Sales Analytics
6.2.4.1 Sales Life Cycle Management
6.2.4.2 Sales Rep Efficiency Management
6.2.4.3 Others
6.2.5 Customer Analytics
6.2.5.1 Customer Segmentation and Clustering
6.2.5.2 Customer Behavior Analysis
6.2.5.3 Monitoring Customer Loyalty and Satisfaction
6.2.5.4 Others
6.2.6 Web and Social Media Analytics
6.2.6.1 Social Media Management
6.2.6.2 Search Engine Optimization
6.2.6.3 Performance Monitoring
6.2.6.4 Competitor Benchmarking
6.2.7 Supply Chain Analytics
6.2.7.1 Distribution and Logistics Optimization
6.2.7.2 Inventory Management
6.2.7.3 Manufacturing Analysis
6.2.7.4 Others
6.2.8 Network Analytics
6.2.8.1 Intelligent Network Optimization
6.2.8.2 Traffic Management
6.2.8.3 Others
6.2.9 Others
6.3 Services
6.3.1 Managed Services
6.3.2 Professional Services
6.3.2.1 Support and Maintenance
6.3.2.2 Consulting
7 Predictive Analytics Market Analysis, By Organization Size (Page No. - 71)
7.1 Introduction
7.2 Small and Medium-Sized Enterprises
7.3 Large Enterprises
8 Predictive Analytics Market Analysis, By Deployment Model (Page No. - 75)
8.1 Introduction
8.2 On-Premises
8.3 Cloud
9 Predictive Analytics Market Analysis, By Industry Vertical (Page No. - 79)
9.1 Introduction
9.2 Banking, Financial Services, and Insurance
9.3 Telecommunications and It
9.4 Retail and Ecommerce
9.5 Healthcare and Life Sciences
9.6 Manufacturing
9.7 Government and Defense
9.8 Energy and Utilities
9.9 Transportation and Logistics
9.10 Others
10 Geographic Analysis (Page No. - 90)
10.1 Introduction
10.2 North America
10.2.1 By Type
10.2.2 By Solution
10.2.3 By Service
10.2.4 By Professional Service
10.2.5 By Deployment Model
10.2.6 By Organization Size
10.2.7 By Industry Vertical
10.2.8 By Country
10.2.8.1 United States
10.2.8.2 Canada
10.3 Europe
10.3.1 By Type
10.3.2 By Solution
10.3.3 By Service
10.3.4 By Professional Service
10.3.5 By Deployment Model
10.3.6 By Organization Size
10.3.7 By Industry Vertical
10.3.8 By Country
10.3.8.1 Germany
10.3.8.2 United Kingdom
10.3.8.3 France
10.3.8.4 Rest of Europe
10.4 Asia Pacific
10.4.1 By Type
10.4.2 By Solution
10.4.3 By Service
10.4.4 By Professional Service
10.4.5 By Deployment Model
10.4.6 By Organization Size
10.4.7 By Industry Vertical
10.4.8 By Country
10.4.8.1 Japan
10.4.8.2 India
10.4.8.3 Singapore
10.4.8.4 Australia
10.5 Middle East and Africa
10.5.1 By Type
10.5.2 By Solution
10.5.3 By Service
10.5.4 By Professional Service
10.5.5 By Deployment Model
10.5.6 By Organization Size
10.5.7 By Industry Vertical
10.6 Latin America
10.6.1 By Type
10.6.2 By Solution
10.6.3 By Service
10.6.4 By Professional Service
10.6.5 By Deployment Model
10.6.6 By Organization Size
10.6.7 By Industry Vertical
10.6.8 By Country
10.6.8.1 Brazil
10.6.8.2 Mexico
11 Competitive Landscape (Page No. - 117)
11.1 Microquadrant Overview
11.1.1 Visionary Leaders
11.1.2 Innovators
11.1.3 Dynamic Differentiators
11.1.4 Emerging Companies
11.1.5 Predictive Analytics Market (Global) Competitive Leadership Mapping, 2017
11.2 Competitive Benchmarking
11.2.1 Strength of Product Portfolio Adopted in the Market
11.2.2 Business Strategy Excellence Adopted in the Market
12 Company Profiles (Page No. - 121)
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
12.1 International Business Machines (IBM) Corporation
12.2 Oracle Corporation
12.3 SAP SE
12.4 Microsoft Corporation
12.5 SAS Institute, Inc.
12.6 Fair Isaac Corporation (FICO)
12.7 NTT Data Corporation
12.8 Tableau Software, Inc.
12.9 Tibco Software, Inc.
12.10 Rapidminer, Inc.
12.11 Angoss Software Corporation
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.
13 Appendix (Page No. - 156)
13.1 Key Insights From Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details
List of Tables (82 Tables)
Table 1 United States Dollar Exchange Rate, 2014–2016
Table 2 Evaluation Criteria
Table 3 Predictive Analytics Market Size, By Type, 2015–2022 (USD Million)
Table 4 Solutions: Market Size, By Region, 2015–2022 (USD Million)
Table 5 Market Size, By Solution, 2015–2022 (USD Million)
Table 6 Financial Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 7 Financial Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 8 Risk Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 9 Risk Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 10 Marketing Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 11 Marketing Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 12 Sales Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 13 Sales Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 14 Customer Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 15 Customer Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 16 Web and Social Media Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 17 Web and Social Media Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 18 Supply Chain Analytics Predictive Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 19 Supply Chain Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 20 Network Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 21 Network Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 22 Others: Market Size By Region, 2015–2022 (USD Million)
Table 23 Services: Market Size By Region, 2015–2022 (USD Million)
Table 24 Services: Market Size By Type, 2015–2022 (USD Million)
Table 25 Managed Services Market Size, By Region, 2015–2022 (USD Million)
Table 26 Professional Services Market Size, By Region, 2015–2022 (USD Million)
Table 27 Professional Services Market Size, By Type, 2015-2022 (USD Million)
Table 28 Support and Maintenance Services Market Size, By Region, 2015–2022 (USD Million)
Table 29 Consulting Services Market Size, By Region, 2015–2022 (USD Million)
Table 30 Predictive Analytics Market Size, By Organization Size, 2015–2022 (USD Million)
Table 31 Small and Medium-Sized Enterprises: Market Size By Region, 2015–2022 (USD Million)
Table 32 Large Enterprises: Market Size By Region, 2015–2022 (USD Million)
Table 33 Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 34 On-Premises: Market Size By Region, 2015–2022 (USD Million)
Table 35 Cloud: Market Size By Region, 2015–2022 (USD Million)
Table 36 Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 37 Banking, Financial Services, and Insurance: Market Size, By Region, 2015–2022 (USD Million)
Table 38 Telecommunications and It: Market Size By Region, 2015–2022 (USD Million)
Table 39 Retail and Ecommerce: Market Size By Region, 2015–2022 (USD Million)
Table 40 Healthcare and Life Sciences: Market Size By Region, 2015–2022 (USD Million)
Table 41 Manufacturing: Market Size By Region, 2015–2022 (USD Million)
Table 42 Government and Defense: Market Size By Region, 2015–2022 (USD Million)
Table 43 Energy and Utilities: Market Size By Region, 2015–2022 (USD Million)
Table 44 Transportation and Logistics: Market Size By Region, 2015–2022 (USD Million)
Table 45 Others: Market Size By Region, 2015–2022 (USD Million)
Table 46 Predictive Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 47 North America: Market Size, By Type, 2015–2022 (USD Million)
Table 48 North America: Market Size, By Solution, 2015–2022 (USD Million)
Table 49 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 50 North America: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 51 North America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 52 North America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 53 North America: Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 54 Europe: Predictive Analytics Market Size, By Type, 2015–2022 (USD Million)
Table 55 Europe: Market Size By Solution, 2015–2022 (USD Million)
Table 56 Europe: Market Size By Service, 2015–2022 (USD Million)
Table 57 Europe: Market Size By Professional Service, 2015–2022 (USD Million)
Table 58 Europe: Market Size By Deployment Model, 2015–2022 (USD Million)
Table 59 Europe: Market Size By Organization Size, 2015–2022 (USD Million)
Table 60 Europe: Market Size By Industry Vertical, 2015–2022 (USD Million)
Table 61 Asia Pacific: Predictive Analytics Market Size, By Type, 2015–2022 (USD Million)
Table 62 Asia Pacific: Market Size, By Solution, 2015–2022 (USD Million)
Table 63 Asia Pacific: Market Size, By Service, 2015–2022 (USD Million)
Table 64 Asia Pacific: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 65 Asia Pacific: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 66 Asia Pacific: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 67 Asia Pacific: Predictive Analytics Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 68 Middle East and Africa: Market Size By Type, 2015–2022 (USD Million)
Table 69 Middle East and Africa: Market Size By Solution, 2015–2022 (USD Million)
Table 70 Middle East and Africa: Market Size By Service, 2015–2022 (USD Million)
Table 71 Middle East and Africa: Market Size By Professional Service, 2015–2022 (USD Million)
Table 72 Middle East and Africa: Market Size By Deployment Model, 2015–2022 (USD Million)
Table 73 Middle East and Africa: Market Size By Organization Size, 2015–2022 (USD Million)
Table 74 Middle East and Africa: Market Size By Industry Vertical, 2015–2022 (USD Million)
Table 75 Latin America: Predictive Analytics Market Size, By Type, 2015–2022 (USD Million)
Table 76 Latin America: Market Size By Solution, 2015–2022 (USD Million)
Table 77 Latin America: Market Size By Service, 2015–2022 (USD Million)
Table 78 Latin America: Market Size By Professional Service, 2015–2022 (USD Million)
Table 79 Latin America: Market Size By Deployment Model, 2015–2022 (USD Million)
Table 80 Latin America: Market Size By Organization Size, 2015–2022 (USD Million)
Table 81 Latin America: Market Size By Industry Vertical, 2015–2022 (USD Million)
Table 82 Market Ranking for the Predictive Analytics Market, 2017
List of Figures (37 Figures)
Figure 1 Predictive Analytics Market Segmentation
Figure 2 Market: Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Market: Assumptions
Figure 8 The Market is Expected to Witness Significant Growth During the Forecast Period
Figure 9 Market Snapshot By Type (2017 vs 2022)
Figure 10 Market Snapshot By Service (2017 vs 2022)
Figure 11 Market Snapshot By Solution (2017 vs 2022)
Figure 12 Market Snapshot By Deployment Model (2017 vs 2022)
Figure 13 Increasing Adoption of Predictive Analytics is Driving the Market Growth
Figure 14 North America is Estimated to Have the Largest Market Share in 2017
Figure 15 Banking, Financial Services, and Insurance Industry Vertical, and North America are Estimated to Have the Largest Market Size in 2017
Figure 16 Asia Pacific is Expected to Have the Highest Growth Rate During the Forcast Period
Figure 17 Predictive Analytics Market: Drivers, Restraints, Opportunities, and Challenges
Figure 18 Predictive Analytics Process
Figure 19 Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 20 Customer Analytics is Expected to Have the Highest CAGR During the Forecast Period
Figure 21 Managed Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 22 Consulting Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 23 Small and Medium-Sized Enterprises Segment is Expected to Have A Higher Growth Rate During the Forecast Period
Figure 24 Cloud is Expected to Have A Higher Growth Rate During the Forecast Period
Figure 25 Telecommunication and It Vertical is Expected to Have the Highest Growth Rate During the Forecast Period
Figure 26 Asia Pacific is Estimated to Grow at the Highest CAGR in the Predictive Analytics Market
Figure 27 Asia Pacific is Expected to Have the Highest Growth Rate in the Market
Figure 28 North America: Market Snapshot
Figure 29 Asia Pacific: Market Snapshot
Figure 30 International Business Machines Corporation: Company Snapshot
Figure 31 Oracle Corporation: Company Snapshot
Figure 32 SAP SE: Company Snapshot
Figure 33 Microsoft Corporation: Company Snapshot
Figure 34 SAS Institute, Inc.: Company Snapshot
Figure 35 Fair Isaac Corporation: Company Snapshot
Figure 36 NTT Data Corporation: Company Snapshot
Figure 37 Tableau Software, Inc.: Company Snapshot
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the Predictive Analytics Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Growth opportunities and latent adjacency in Predictive Analytics Market
Do you think implementing predictive analysts will be a good strategy? Would it be good with an automation platform?
According to us, implementing predictive analytics would be a good strategy for an organization: With the increasing volume and variety of business data, due to increasing adoption of emerging technologies such as Artificial Intelligence, Machine Learning, Internet of Things and Mobility, organizations require real-time insights from those datasets for faster and better decision making. Predictive analytics helps industries in understanding the customer perception by providing competitive market edge and an ability to orchestrate business decisions rapidly. It also provides operational excellence by improving productivity and profitability across organizations, and help the organization for achieving financial efficiency, informed decision making, and better data visualization for both structured as well as unstructured data sets. Organizations across industry verticals (including BFSI, Retail, Healthcare, Government, Telecom, and so on) are implementing predictive analytics for multiple business applications to get these benefits and most of them are achieving better results. For example, HSBC recently partnered with an AI start-up Ayasdi to automate anti-money laundering investigations using predictive modelling and they saw the number of investigations by 20% without reducing the number of cases referred for more scrutiny. Vodafone is using CleverTap’s customer analytics solution to engage their users and drive conversions. Using the predictive analytics tool, Vodafone could successfully scale personalized campaigns to double the conversions. Hence, predictive analytics is considered as a new mantra for businesses across industries because it helps organizations achieving varied range of business outcomes, higher customer satisfaction, and efficient operations. It is now widely being used by marketing, sales and finance teams to achieve desirable business performance.