Predictive Analytics Market with Covid-19 Impact Analysis by Solution (Financial Analytics, Risk Analytics, Marketing Analytics, Web & Social Media Analytics), Service, Deployment Mode, Organization Size, Vertical, and Region - Global Forecast to 2026
[315 Pages Report] The global predictive analytics market size to grow from USD 10.5 billion in 2021 to USD 28.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 21.7% during the forecast period. Various factors such as increasing use of AI and ML and acquisitions and product launches in this market are expected to drive the adoption of Predictive Analytics software and services.
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COVID-19 impact on the global Predictive Analytics market
The spread of COVID-19 has been disrupting the world, businesses, and economies and has impacted the way of living of the masses and approaches adopted by enterprises for their business management. The ability of enterprises to sustain this pandemic has become new normal for them as they shift their focus from growth opportunities and concentrate on implementing measures to mitigate the impact of COVID-19. The upcoming analytics projects are kept on hold owing to the pandemic. Several companies are competing with each other to gain a single project. Businesses have already started their efforts to return to normal and are facing multiple challenges in terms of the impact of the pandemic on their customer base and operations. Meeting customer expectations in terms of optimization of processes and increased security concerns due to the presence of various connected networks, rise in connectivity issues, and decline in industrial and manufacturing operations are the key challenges faced by businesses. New practices such as work from home and social distancing are creating the requirement of the remote health monitoring of infected patients, smart payment technologies, and the development of digital infrastructures for large-scale technology deployments. With an increased focus on health, there has been a rise in the demand for health-related wearable devices. For instance, in August 2020, Fitbit announced ~34% growth in its smartwatch sales in the second quarter of 2020.
Market Dynamics
Driver: Rising adoption of big data and other related technologies
The use of advanced technologies, such as cloud, IoT, big data and analytics, mobility, and social media, has led to innovation and transformation, thereby stimulating growth in the business ecosystem. Digital technologies have transformed the legacy approach to business into a modern approach. For example, online services are now firmly established in the banking and financial sector, resulting in the proliferation of online activities and websites. According to a blog published by Usabilla (Netherlands) in June 2020, the top 100 organizations are 50% more likely to address customer empowerment as a key parameter for business growth. The blog also stated that 92% of leaders had employed advanced digital transformation strategies to enhance their customers’ experience.
Restraint: Changing regional data regulations leading to a time-consuming restructuring of predictive models
Predictive analytics delivers a decisive data interpretation and provides a larger picture to decision-makers to boost overall business performance. The modification of predictive models permits integration with both software and services, depending on the level and nature of the analysis. Professional services are necessary for customizing existing analytics solutions, which cater to particular data sets. As the predictive analytics concept is still in the nascent phase, the availability of skilled labor is also limited. This is another important factor restraining market growth.
Opportunity: Rising internet proliferation and growing usage of connected and integrated technologies
The proliferation of the internet and the availability of various means to access the internet have led to a massive increase in data volumes generated. This would help in the advancement and expansion of high-speed internet services. Globalization and economic growth are also playing major roles in driving greater data generation worldwide. With the rise in touchpoints and the need for collecting data to understand consumer behavior, every touch by a consumer has become an important data point that can be processed to reveal user behavior. With the exponential rise in individual and organizational data, businesses are now deploying data scientists and analysts for processing collected data. Another factor accelerating adoption is the revenue-generating potential of predictive analytics. This is compelling firms to invest in predictive analytics.
Challenge: Integration of data from data silos
Extracting value from data has become a key requirement for companies to successfully mitigate risks, target valuable customers, and evaluate business performance. In addition, monetizing these data assets require the availability of a sufficient amount of data. However, data consolidation from distinct data sources into meaningful information can incite various new challenges for organizations, especially centralized business enterprises. Data exchange and data ecosystem deliver tools to analyze the collected data at a centralized location and help extract and cross-check business-critical components. The development of data exchanges and data ecosystems varies based on the assumptions made in the value of the data for each customer segment. Many predictive analytics providers offer unified data aggregation and data analytics platforms to help users successfully aggregate and analyze data from disparate data sources.
The services segment to hold higher CAGR during the forecast period
The services segment is further divided into professional services and managed services. These services are an integral step in deploying Predictive Analytics solution and are taken care of by solution and service providers. The demand for professional services is expected to rise due to a rise in tailored demands from customers. Customers are coming up with customization requirements in already installed predictive analytics solutions for enhancing overall performance. The customization requirements include enhanced real-time insights for precise alert systems, enhanced security measures, improved digital Customer Experience (CX), and the capability to extract the maximum potential from the rising enterprise data. The growing adoption of Predictive Analytics solutions is expected to boost the adoption of professional and managed services.
North America to account for largest market size during the forecast period
North America is expected to have the largest market share in the Predictive Analytics market. The adoption of predictive analytics solutions is expected to be the highest in North America, as compared to the other regions. This is mainly because of the presence of various developed economies, such as Canada and the US, and due to the focus on innovations obtained from R&D and various technologies. North America, a hub of data generation in large quantities, is the largest market for predictive analytics solutions.
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Key Market Players
The Predictive Analytics vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global Predictive Analytics market IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US), Salesforce (US), AWS (US), HPE (US), Teradata (US), Alteryx (US), FICO (US), Altair (US), Domo (US), Cloudera (US), Board International (Switzerland), TIBCO Software (US), Hitachi Vantara (US), Qlik (US), Happiest Minds (India), Dataiku (US), RapidMiner (US), Biofourmis (US), In-med Prognostics (India), Aito.Ai (Finland), Symend (US), Onward Health (India), Unioncrate (US), CyberLabs (Brazil), Actify Data Labs (India), Amlgo Labs (India), and Verimos (US). The study includes an in-depth competitive analysis of these key players in the Predictive Analytics market with their company profiles, recent developments, and key market strategies.
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Report Metric |
Details |
|
Market size available for years |
2015–2026 |
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Base year considered |
2021 |
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Forecast period |
2022–2026 |
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Forecast units |
USD Million |
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Segments covered |
Component, Deployment Mode, Organization Size, Vertical, And Region |
|
Geographies covered |
North America, Europe, APAC, Latin America and MEA |
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Companies covered |
IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US), Salesforce (US), AWS (US), HPE (US), Teradata (US), Alteryx (US), FICO (US), Altair (US), Domo (US), Cloudera (US), Board International (Switzerland), TIBCO Software (US), Hitachi Vantara (US), Qlik (US), Happiest Minds (India), Dataiku (US), RapidMiner (US), Biofourmis (US), In-med Prognostics (India), Aito.Ai (Finland), Symend (US), Onward Health (India), Unioncrate (US), CyberLabs (Brazil), Actify Data Labs (India), Amlgo Labs (India), and Verimos (US) |
This research report categorizes the Predictive Analytics market based on Component, Deployment Mode, Organization Size, Vertical, And Region.
By Component:
- Solutions
- Financial Analytics
- Risk Analytics
- Marketing Analytics
- Sales Analytics
- Customer Analytics
- Web and Social Media Analytics
- Supply chain Analytics
- Network Analytics
- Services
- Professional Services
- Consulting
- Deployment and Integration
- Support and Maintenance
- Managed Services
- Professional Services
By Deployment Mode
- Cloud
- On-premises
By Organization Size:
- Large enterprises
- Small and medium-sized enterprises (SMEs)
By Vertical:
- BFSI
- Manufacturing
- Retail and eCommerce
- Government and Defense
- Healthcare and Life Sciences
- Energy and Utilities
- Telecommunications and IT
- Transportation and Logistics
- Media and Entertainment
- Travel and Hospitality
- Other Verticals
By Region:
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- APAC
- China
- Japan
- India
- ANZ
- Rest of APAC
- MEA
- UAE
- South Africa
- Rest of Middle East
- Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In September 2021, Teradata stated that Tesco PLC is expanding its cooperation with Teradata by incorporating Vantage into its data platform. Tesco may use Vantage to eliminate silos and query all their data in real time, regardless of whether it is in the cloud, multiple clouds, on-premises, or any mix thereof, to gain a comprehensive view of their business.
- In August 2021, Altair announced the acquisition of S-FRAME Software, a structural analysis software platform used by engineers worldwide to evaluate a structure’s ability to endure external loads (such as wind, water, and snow) and meet design code requirements.
- In January 2021, TIBCO Software announced the successful completion of its acquisition of Information Builders, Inc. (ibi), which it announced in October. ibi’s data management and analytics capabilities will be added to the superior TIBCO Connected Intelligence platform as a result of the acquisition. Following the completion of the acquisition, TIBCO software will concentrate on business alignment and resource mapping to ensure the continued health and support of its increased client base and global partner network.
- In August 2020, SAP partnered with HPE to deliver SAP HANA Enterprise Cloud with HPE GreenLake Cloud Services. This partnership will enable customers to keep their SAP software landscape and data on-premises.
- In June 2019, Cloudera and IBM announced a partnership for bringing AI solutions and advanced data to organizations on the Apache Hadoop ecosystem. Due to this partnership, data-driven decisions will be accelerated.
- In March 2018, Cloudera announced the expansion of Budapest, Hungary, headquarters. Cloudera expanded the R&D team of Budapest to increase the Hungarian employee base supported by Hungarian Investment Promotion Agency (HIPA).
Frequently Asked Questions (FAQ):
What is Predictive Analytics?
As per ShareVault, Predictive Analytics, sometimes called a virtual deal room, is a secure online repository of information used to store and share documents with third parties during due diligence and other transactions. Modern Predictive Analytics enable administrators to organize documents logically and stage the sharing of documents as a deal progresses.
Which countries are considered in the European region?
The report includes an analysis of the UK, Germany, and France in the European region.
Which are key verticals adopting Predictive Analytics software and services?
Key verticals adopting Predictive Analytics solution and services BFSI, Manufacturing, Retail and eCommerce, Government and Defense, Healthcare and Life Sciences, Energy and Utilities, Telecommunications and IT, Transportation and Logistics, Media and Entertainment, Travel and Hospitality, and Other Verticals.
Which are the key drivers supporting the growth of the Predictive Analytics market?
The key drivers supporting the growth of the Predictive Analytics market include increasing increase in use of big data and related technologies and the shift toward remote work during COVID-19 are expected to drive the adoption of Predictive Analytics software and services.
Who are the key vendors in the Predictive Analytics market?
The key vendors operating in the Predictive Analytics market IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US), Salesforce (US), AWS (US), HPE (US), Teradata (US), Alteryx (US), FICO (US), Altair (US), Domo (US), Cloudera (US), Board International (Switzerland), TIBCO Software (US), Hitachi Vantara (US), Qlik (US), Happiest Minds (India), Dataiku (US), RapidMiner (US), Biofourmis (US), In-med Prognostics (India), Aito.Ai (Finland), Symend (US), Onward Health (India), Unioncrate (US), CyberLabs (Brazil), Actify Data Labs (India), Amlgo Labs (India), and Verimos (US). These vendors have adopted different types of organic and inorganic growth strategies such as new product launches, product enhancements, partnerships, and mergers and acquisitions. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 41)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS AND EXCLUSIONS
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 51)
2.1 RESEARCH DATA
FIGURE 6 PREDICTIVE ANALYTICS MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 2 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 8 PREDICTIVE ANALYTICS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF MARKET
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY -APPROACH 2 - BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF THE MARKET
FIGURE 12 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF PREDICTIVE ANALYTICS THROUGH OVERALL PREDICTIVE ANALYTICS SPENDING
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
TABLE 4 IMPACT OF COVID-19
2.5 COMPANY EVALUATION MATRIX
FIGURE 13 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 START-UP/SME EVALUATION MATRIX METHODOLOGY
FIGURE 14 START-UP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.7 ASSUMPTIONS FOR THE STUDY
2.8 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 65)
TABLE 5 PREDICTIVE ANALYTICS MARKET SIZE AND GROWTH RATE, 2015–2020 (USD MILLION, Y-O-Y%)
TABLE 6 MARKET SIZE AND GROWTH RATE, 2021–2026 (USD MILLION, Y-O-Y%)
FIGURE 15 SOLUTIONS SEGMENT, BY COMPONENT, EXPECTED TO ACHIEVE A LARGER MARKET SIZE IN 2021
FIGURE 16 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
FIGURE 17 FINANCIAL ANALYTICS SOLUTIONS TO DOMINATE THE MARKET IN 2021
FIGURE 18 ON-PREMISE DEPLOYMENT TO LEAD THE MARKET IN 2021
FIGURE 19 LARGE ENTERPRISES SEGMENT EXPECTED TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
FIGURE 20 BFSI VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
FIGURE 21 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
4 PREMIUM INSIGHTS (Page No. - 72)
4.1 ATTRACTIVE OPPORTUNITIES IN THE PREDICTIVE ANALYTICS MARKET
FIGURE 22 INCREASING ADOPTION OF AI AND ML TECHNOLOGIES TO BOOST THE MARKET GROWTH
4.2 MARKET, BY VERTICAL
FIGURE 23 BFSI SEGMENT EXPECTED TO LEAD THE MARKET BY 2026
4.3 MARKET, BY REGION
FIGURE 24 NORTH AMERICA ACCOUNTED FOR THE LARGEST MARKET SHARE IN 2020
4.4 MARKET, BY SOLUTIONS AND VERTICAL
FIGURE 25 CUSTOMER ANALYTICS AND TELECOM AND IT TO ACCOUNT FOR THE LARGEST RESPECTIVE MARKET SHARES IN 2021
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 74)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: PREDICTIVE ANALYTICS MARKET
5.2.1 DRIVERS
5.2.1.1 Rising adoption of big data and other related technologies
5.2.1.2 Advent of machine learning and artificial intelligence
5.2.1.3 Cost benefits of cloud-based predictive analytics solutions
5.2.2 RESTRAINTS
5.2.2.1 Changing regional data regulations leading to a time-consuming restructuring of predictive models
5.2.2.2 Data security concerns
5.2.3 OPPORTUNITIES
5.2.3.1 Rising internet proliferation and growing usage of connected and integrated technologies
5.2.3.2 Increasing demand for real-time analytical solutions to track and monitor COVID-19 spread
5.2.3.3 Growing role of predictive analytics in achieving manufacturing excellence
5.2.4 CHALLENGES
5.2.4.1 Integration of data from data silos
5.2.4.2 Ownership and privacy of collected data
5.3 PREDICTIVE ANALYTICS MARKET: COVID-19 IMPACT
5.4 PREDICTIVE ANALYTICS: EVOLUTION
FIGURE 27 EVOLUTION OF PREDICTIVE ANALYTICS
5.5 PREDICTIVE ANALYTICS: ECOSYSTEM
FIGURE 28 PREDICTIVE ANALYTICS: ECOSYSTEM
5.6 CASE STUDY ANALYSIS
TABLE 7 USE CASES: PROMINENT INDUSTRY-WISE INSTANCES
5.6.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
5.6.1.1 Case study 1: Streamlining the mortgage appraisal process
5.6.2 TELECOMMUNICATION AND IT
5.6.2.1 Case study 1: Customer segmentation
5.6.3 RETAIL AND ECOMMERCE
5.6.3.1 Case study 1: Using weather data to predict sales
5.6.4 HEALTHCARE AND LIFE SCIENCES
5.6.4.1 Case study 1: Improve healthcare operations through data analysis
5.6.5 MANUFACTURING
5.6.5.1 Case study 1: Improving customer support in electronic manufacturing
5.6.5.2 Case study 2: Improvements in products, services, and customer satisfaction through advanced analytics and AI
5.6.6 ENERGY AND UTILITIES
5.6.6.1 Case study 1: Increase debt collection
5.6.7 TRANSPORTATION AND LOGISTICS
5.6.7.1 Case study 1: Visualize and predict the status of the fleet
5.6.8 MEDIA AND ENTERTAINMENT
5.6.8.1 Case study 1: Scaling a small data team using machine learning
5.6.9 GOVERNMENT AND DEFENCE
5.6.9.1 Case study 1: HAN University to equip students thrive in a digital future
5.6.10 TRAVEL AND HOSPITALITY
5.6.10.1 Case study 1: Optimizing customer experience with Teradata Vantage
5.7 PATENT ANALYSIS
5.7.1 METHODOLOGY
5.7.2 DOCUMENT TYPE
TABLE 8 PATENTS FILED, 2018–2021
5.7.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 29 TOTAL NUMBER OF PATENTS GRANTED IN A YEAR, 2018–2021
5.7.3.1 Top applicants
FIGURE 30 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021
TABLE 9 TOP TEN PATENT OWNERS (US) IN THE PREDICTIVE ANALYTICS MARKET, 2018–2021
5.8 SUPPLY/VALUE CHAIN ANALYSIS
FIGURE 31 SUPPLY/VALUE CHAIN ANALYSIS
TABLE 10 MARKET: VALUE/SUPPLY CHAIN
5.9 PRICING MODEL ANALYSIS
5.10 PORTER’S FIVE FORCES ANALYSIS
FIGURE 32 MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 11 MARKET: PORTER’S FIVE FORCES ANALYSIS
5.10.1 THREAT OF NEW ENTRANTS
5.10.2 THREAT OF SUBSTITUTES
5.10.3 BARGAINING POWER OF SUPPLIERS
5.10.4 BARGAINING POWER OF BUYERS
5.10.5 INTENSITY OF COMPETITIVE RIVALRY
5.11 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN THE PREDICTIVE ANALYTICS MARKET
FIGURE 33 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
5.12 TECHNOLOGY ANALYSIS
5.12.1 AI AND PREDICTIVE ANALYTICS
5.12.2 BLOCKCHAIN AND PREDICTIVE ANALYTICS
5.12.3 ML AND PREDICTIVE ANALYTICS
5.12.4 IOT AND PREDICTIVE ANALYTICS
5.12.5 5G AND PREDICTIVE ANALYTICS
5.13 REGULATORY IMPLICATIONS
5.13.1 INTRODUCTION
5.13.2 SARBANES-OXLEY ACT OF 2002
5.13.3 GENERAL DATA PROTECTION REGULATION
5.13.4 BASEL
5.14 PREDICTIVE ANALYTICS MODELS
5.14.1 CLASSIFICATION MODEL
5.14.2 CLUSTERING MODEL
5.14.3 FORECAST MODEL
5.14.4 TIME SERIES MODEL
5.14.5 OUTLIERS MODEL
6 PREDICTIVE ANALYTICS MARKET, BY COMPONENT (Page No. - 101)
6.1 INTRODUCTION
6.1.1 COMPONENTS: COVID-19 IMPACT
FIGURE 34 SERVICES SEGMENT EXPECTED TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 12 MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 13 MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
6.2 SOLUTIONS
FIGURE 35 SALES ANALYTICS SEGMENT EXPECTED TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 14 MARKET SIZE, BY SOLUTION, 2015–2020 (USD MILLION)
TABLE 15 PREDICTIVE ANALYTICS MARKET SIZE, BY SOLUTION, 2021–2026 (USD MILLION)
6.2.1 FINANCIAL ANALYTICS
TABLE 16 FINANCIAL ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 17 FINANCIAL ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 18 FINANCIAL ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 19 FINANCIAL ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
6.2.1.1 Fraud detection
6.2.1.2 Profitability management
6.2.1.3 Governance, risk, and compliance management
6.2.1.4 Other financial analytics applications
6.2.2 RISK ANALYTICS
TABLE 20 RISK ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 21 RISK ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 22 RISK ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 23 RISK ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
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 Other risk analytics applications
6.2.3 MARKETING ANALYTICS
TABLE 24 MARKETING ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 25 MARKETING ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 26 MARKETING ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 27 MARKETING ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
6.2.3.1 Predictive modeling
6.2.3.2 Yield management
6.2.3.3 Product and service development strategies
6.2.3.4 Other marketing analytics applications
6.2.4 SALES ANALYTICS
TABLE 28 SALES ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 29 SALES ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 30 SALES ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 31 SALES ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
6.2.4.1 Sales life cycle management
6.2.4.2 Sales rep efficiency management
6.2.4.3 Other sales analytics applications
6.2.5 CUSTOMER ANALYTICS
TABLE 32 CUSTOMER ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 33 CUSTOMER ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 34 CUSTOMER ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 35 CUSTOMER ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
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 Other customer analytics applications
6.2.6 WEB AND SOCIAL MEDIA ANALYTICS
TABLE 36 WEB AND SOCIAL MEDIA ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 37 WEB AND SOCIAL MEDIA ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 38 WEB AND SOCIAL MEDIA ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 39 WEB AND SOCIAL MEDIA ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
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
TABLE 40 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 41 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 42 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 43 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
6.2.7.1 Distribution and logistics optimization
6.2.7.2 Inventory management
6.2.7.3 Manufacturing analysis
6.2.7.4 Other supply chain analytics applications
6.2.8 NETWORK ANALYTICS
TABLE 44 NETWORK ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 45 NETWORK ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 46 NETWORK ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2020 (USD MILLION)
TABLE 47 NETWORK ANALYTICS MARKET SIZE, BY APPLICATION, 2021–2026 (USD MILLION)
6.2.8.1 Intelligent network optimization
6.2.8.2 Traffic management
6.2.8.3 Other Network Analytics Applications
6.2.9 OTHER PREDICTIVE ANALYTICS SOLUTIONS
TABLE 48 OTHER SOLUTIONS: PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 49 OTHER SOLUTIONS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3 SERVICES
FIGURE 36 MANAGED SERVICES SEGMENT EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 50 MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 51 MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
6.3.1 MANAGED SERVICES
TABLE 52 MANAGED SERVICES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 53 MANAGED SERVICES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3.2 PROFESSIONAL SERVICES
FIGURE 37 DEPLOYMENT AND INTEGRATION SEGMENT EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 54 PROFESSIONAL SERVICES: PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 55 PROFESSIONAL SERVICES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 56 PROFESSIONAL SERVICE: MARKET SIZE, BY TYPE, 2015–2020 (USD MILLION)
TABLE 57 PROFESSIONAL SERVICES: MARKET SIZE, BY TYPE, 2021–2026 (USD MILLION)
6.3.2.1 Support and Maintenance
TABLE 58 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 59 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3.2.2 Consulting
TABLE 60 CONSULTING MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 61 CONSULTING MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3.2.3 Deployment and integration
TABLE 62 DEPLOYMENT AND INTEGRATION: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 63 DEPLOYMENT AND INTEGRATION: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
7 PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT MODE (Page No. - 133)
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODES: COVID-19 IMPACT
FIGURE 38 CLOUD SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE DURING THE FORECAST PERIOD
TABLE 64 MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 65 MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
7.2 CLOUD
7.2.1 REDUCED OPERATIONAL COST AND HIGHER SCALABILITY TO ENABLE GROWTH IN CLOUD-BASED DEPLOYMENTS
TABLE 66 CLOUD: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 67 CLOUD: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
7.3 ON-PREMISES
7.3.1 WITH THE GROWING THREAT OF DATA THEFTS, SOME ORGANIZATIONS PREFER PREDICTIVE ANALYTICS SOLUTIONS TO REMAIN ON-PREMISES
TABLE 68 ON-PREMISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 69 ON-PREMISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
8 PREDICTIVE ANALYTICS MARKET, BY ORGANIZATION SIZE (Page No. - 138)
8.1 INTRODUCTION
8.1.1 ORGANIZATION SIZE: COVID-19 IMPACT
FIGURE 39 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 70 MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 71 MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
8.2 LARGE ENTERPRISES
8.2.1 EVER-INCREASING ADOPTION OF THE CLOUD AND LATEST TECHNOLOGIES TO DRIVE PREDICTIVE ANALYTICS ACROSS LARGE ENTERPRISES
TABLE 72 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 73 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
8.3 SMALL AND MEDIUM-SIZED ENTERPRISES
8.3.1 ROBUST CLOUD-BASED DEPLOYMENTS TO LEAD SMALL AND MEDIUM-SIZED ENTERPRISES, RECORDING A HIGHER GROWTH RATE
TABLE 74 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 75 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9 PREDICTIVE ANALYTICS MARKET, BY VERTICAL (Page No. - 143)
9.1 INTRODUCTION
9.1.1 VERTICALS: COVID-19 IMPACT
FIGURE 40 HEALTHCARE AND LIFE SCIENCES VERTICAL TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 76 MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 77 MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
9.2.1 PREDICTIVE ANALYTICS SOLUTIONS IMPROVE BUSINESS PERFORMANCE, REDUCE COST, AND CHURNING
TABLE 78 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 79 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.3 RETAIL AND ECOMMERCE
9.3.1 ADOPTION OF PREDICTIVE ANALYTICS SOLUTIONS BOOSTS BUSINESS DECISION PERFORMANCE AND PROFIT MARGINS
TABLE 80 RETAIL AND ECOMMERCE: PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 81 RETAIL AND ECOMMERCE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.4 TELECOM AND IT
9.4.1 USAGE OF SMARTPHONES, COMPLEXITY IN THE TELECOM INDUSTRY, AND GROWTH IN SERVICE PROVIDERS RAPIDLY DRIVE THE MARKET
TABLE 82 TELECOM AND IT: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 83 TELECOM AND IT: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.5 TRANSPORTATION AND LOGISTICS
9.5.1 BUSINESS TRANSFORMATION AND REDUCED COSTS DRIVE GROWTH OF PREDICTIVE ANALYTICS
TABLE 84 TRANSPORTATION AND LOGISTICS: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 85 TRANSPORTATION AND LOGISTICS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.6 MEDIA AND ENTERTAINMENT
9.6.1 RISING CONTENT CONSUMPTION AND DIGITAL ENTERTAINMENT ADOPTION TO GENERATE DEMAND FOR PREDICTIVE ANALYTICS
TABLE 86 MEDIA AND ENTERTAINMENT: PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 87 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.7 MANUFACTURING
9.7.1 ADOPTION OF PREDICTIVE ANALYTICS BOOSTS PERFORMANCE AND IMPROVES DECISION-MAKING
TABLE 88 MANUFACTURING: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 89 MANUFACTURING: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.8 HEALTHCARE AND LIFE SCIENCES
9.8.1 REAL-TIME DECISION-MAKING TO PROVIDE NEW INNOVATIVE SOLUTIONS AND DELIVER PROPER INSIGHTS FOR PATIENTS
TABLE 90 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 91 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.9 TRAVEL AND HOSPITALITY
9.9.1 NEED TO DETERMINE NEW PROSPECTS AND OFFER STANDARD SERVICES FOR BETTER CUSTOMER ENGAGEMENT TO DRIVE PREDICTIVE ANALYTICS SOLUTIONS
TABLE 92 TRAVEL AND HOSPITALITY: PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 93 TRAVEL AND HOSPITALITY: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.10 ENERGY AND UTILITIES
9.10.1 DEMAND FOR INTELLIGENT PRODUCTION, DISTRIBUTION, AND CONSUMPTION OF ENERGY AND UTILITIES DRIVE PREDICTIVE ANALYTICS SOLUTIONS
TABLE 94 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 95 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.11 GOVERNMENT AND DEFENSE
9.11.1 DEEP ANALYSIS AND FORECASTING OF TRENDS LEAD TO THE GROWTH OF PREDICTIVE ANALYTICS SOLUTIONS
TABLE 96 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 97 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.12 OTHER VERTICALS
TABLE 98 OTHER VERTICALS: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 99 OTHER VERTICALS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10 PREDICTIVE ANALYTICS MARKET, BY REGION (Page No. - 161)
10.1 INTRODUCTION
FIGURE 41 JAPAN AND AUSTRALIA & NEW ZEALAND TO ACCOUNT FOR HIGHEST CAGRS DURING FORECAST PERIOD
FIGURE 42 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING FORECAST PERIOD
TABLE 100 ALYTICS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 101 PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: COVID-19 IMPACT
TABLE 102 NORTH AMERICA: PROMINENT PLAYERS
10.2.2 NORTH AMERICA: REGULATIONS
10.2.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
10.2.2.2 Gramm-Leach-Bliley (GLB) Act
10.2.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
10.2.2.4 Federal Information Security Management Act (FISMA)
10.2.2.5 Federal Information Processing Standards (FIPS)
10.2.2.6 California Consumer Privacy Act (CSPA)
FIGURE 43 NORTH AMERICA: MARKET SNAPSHOT
TABLE 103 NORTH AMERICA: PREDICTIVE ANALYTICS MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 104 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 105 NORTH AMERICA: MARKET SIZE, BY SOLUTION, 2015–2020 (USD MILLION)
TABLE 106 NORTH AMERICA: MARKET SIZE, BY SOLUTION, 2021–2026 (USD MILLION)
TABLE 107 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 108 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 109 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2020 (USD MILLION)
TABLE 110 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION)
TABLE 111 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 112 NORTH AMERICA: PREDICTIVE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 113 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 114 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 115 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 116 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 117 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 118 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.2.3 UNITED STATES
10.2.3.1 Rapid adoption of digitally innovative solutions and presence of tech giants to drive market growth
10.2.4 CANADA
10.2.4.1 Startup ecosystem and transformation into data-driven organizations to drive the growth of predictive analytics in Canada
10.3 EUROPE
10.3.1 EUROPE: COVID-19 IMPACT
TABLE 119 EUROPE: PROMINENT PLAYERS
10.3.2 EUROPE: REGULATIONS
10.3.2.1 General Data Protection Regulation (GDPR)
10.3.2.2 European Committee for Standardization (CEN)
10.3.2.3 EU’s General Court
TABLE 120 EUROPE: PREDICTIVE ANALYTICS MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 121 EUROPE: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 122 EUROPE: MARKET SIZE, BY SOLUTION, 2015–2020 (USD MILLION)
TABLE 123 EUROPE: MARKET SIZE, BY SOLUTION, 2021–2026 (USD MILLION)
TABLE 124 EUROPE: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 125 EUROPE: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 126 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2020 (USD MILLION)
TABLE 127 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION)
TABLE 128 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 129 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 130 EUROPE: PREDICTIVE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 131 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 132 EUROPE: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 133 EUROPE: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 134 EUROPE: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 135 EUROPE: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.3.3 UNITED KINGDOM
10.3.3.1 Advanced IT infrastructure, technologies, and continued transition toward online services to drive growth in the UK
10.3.4 GERMANY
10.3.4.1 Government initiatives for technological developments in manufacturing to drive the growth of these solutions in Germany
10.3.5 FRANCE
10.3.5.1 Heavy R&D investments; digitalization; and strong hold of retail, aerospace and defense, and manufacturing verticals to drive the growth in France
10.3.6 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: COVID-19 IMPACT
TABLE 136 ASIA PACIFIC: PROMINENT PLAYERS
10.4.2 ASIA PACIFIC: REGULATIONS
10.4.2.1 Personal Data Protection Act (PDPA)
10.4.2.2 International Organization for Standardization (ISO) 27001
FIGURE 44 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 137 ASIA PACIFIC: PREDICTIVE ANALYTICS MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 138 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 139 ASIA PACIFIC: MARKET SIZE, BY SOLUTION, 2015–2020 (USD MILLION)
TABLE 140 ASIA PACIFIC: MARKET SIZE, BY SOLUTION, 2021–2026 (USD MILLION)
TABLE 141 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 142 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 143 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2020 (USD MILLION)
TABLE 144 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION)
TABLE 145 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 146 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 147 ASIA PACIFIC: PREDICTIVE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 148 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 149 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 150 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 151 ASIA PACIFIC: MARKET SIZE, BY COUNTRY/REGION, 2015–2020 (USD MILLION)
TABLE 152 ASIA PACIFIC: MARKET SIZE, BY COUNTRY/REGION, 2021–2026 (USD MILLION)
10.4.3 CHINA
10.4.3.1 The use of predictive analytics services for driving policy support and technological investments to fuel its adoption in China
10.4.4 JAPAN
10.4.4.1 Rise of innovative technologies and collaboration between governments and businesses for digital transformation in Japan
10.4.5 INDIA
10.4.5.1 Local entrepreneurs with a shift in technologies to provide support to Indian companies in the predictive analytics market
10.4.6 AUSTRALIA & NEW ZEALAND
10.4.6.1 Adoption of advanced technologies and increase in young startups to increase the demand for predictive analytics
10.4.7 REST OF ASIA PACIFIC
10.5 MIDDLE EAST AND AFRICA
10.5.1 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
TABLE 153 MIDDLE EAST AND AFRICA: PROMINENT PLAYERS
10.5.2 MIDDLE EAST AND AFRICA: REGULATIONS
10.5.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
10.5.2.2 GDPR Applicability in KSA
10.5.2.3 Protection of Personal Information Act (POPIA)
TABLE 154 MIDDLE EAST AND AFRICA: PREDICTIVE ANALYTICS MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 155 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 156 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOLUTION, 2015–2020 (USD MILLION)
TABLE 157 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOLUTION, 2021–2026 (USD MILLION)
TABLE 158 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 159 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 160 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2020 (USD MILLION)
TABLE 161 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION)
TABLE 162 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 163 MIDDLE EAST AND AFRICA: PREDICTIVE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 164 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 165 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 166 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 167 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 168 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 169 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.5.3 UAE
10.5.3.1 New investments, strategies, and products to drive the adoption of predictive analytics solutions in the region
10.5.4 SOUTH AFRICA
10.5.4.1 Growing digitalization to offer opportunities for deploying predictive analytics solutions in South Africa
10.5.5 REST OF THE MIDDLE EAST AND AFRICA
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: COVID-19 IMPACT
TABLE 170 LATIN AMERICA:PROMINENT PLAYERS
10.6.2 LATIN AMERICA: REGULATIONS
10.6.2.1 Brazil Data Protection Law
10.6.2.2 Argentina Personal Data Protection Law No. 25.326
TABLE 171 LATIN AMERICA: PREDICTIVE ANALYTICS MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 172 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 173 LATIN AMERICA: MARKET SIZE, BY SOLUTION, 2015–2020 (USD MILLION)
TABLE 174 LATIN AMERICA: MARKET SIZE, BY SOLUTION, 2021–2026 (USD MILLION)
TABLE 175 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 176 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 177 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2015–2020 (USD MILLION)
TABLE 178 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION)
TABLE 179 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 180 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 181 LATIN AMERICA: PREDICTIVE ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 182 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 183 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 184 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 185 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 186 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.6.3 BRAZIL
10.6.3.1 Increased use of the internet, technologies, and government organizations to increase the demand in Brazil
10.6.4 MEXICO
10.6.4.1 Growth in trade, customer base, and government initiatives to fuel the growth of predictive analytics
10.6.5 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE (Page No. - 212)
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES
TABLE 187 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN THE PREDICTIVE ANALYTICS MARKET
11.3 REVENUE ANALYSIS
FIGURE 45 REVENUE ANALYSIS FOR KEY COMPANIES IN THE PAST FIVE YEARS
11.4 MARKET SHARE ANALYSIS
FIGURE 46 MARKET SHARE ANALYSIS
TABLE 188 MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
FIGURE 47 KEY PREDICTIVE ANALYTICS MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2021
11.6 COMPETITIVE BENCHMARKING
TABLE 189 COMPANY SOLUTION FOOTPRINT (TOP 3)
TABLE 190 COMPANY REGION FOOTPRINT
11.7 STARTUP/SME EVALUATION QUADRANT
11.7.1 PROGRESSIVE COMPANIES
11.7.2 RESPONSIVE COMPANIES
11.7.3 DYNAMIC COMPANIES
11.7.4 STARTING BLOCKS
FIGURE 48 STARTUP/SME PREDICTIVE ANALYTICS MARKET EVALUATION MATRIX, 2021
11.8 COMPETITIVE SCENARIO
11.8.1 PRODUCT LAUNCHES
TABLE 191 PRODUCT LAUNCHES, JANUARY 2018–MAY 2021
11.8.2 DEALS
TABLE 192 DEALS, JANUARY 2018–MAY 2021
11.8.3 OTHERS
TABLE 193 OTHERS, 2018–2021
12 COMPANY PROFILES (Page No. - 224)
12.1 INTRODUCTION
12.2 KEY PLAYERS
(Business and financial overview, Solutions offered, Recent developments, MNM view, Key strengths/right to win, Strategic choices made, and Weaknesses and competitive threats)*
12.2.1 MICROSOFT
TABLE 194 MICROSOFT: BUSINESS OVERVIEW
FIGURE 49 MICROSOFT: COMPANY SNAPSHOT
TABLE 195 MICROSOFT: SOLUTIONS OFFERED
TABLE 196 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 197 MICROSOFT: DEALS
12.2.2 IBM
TABLE 198 IBM: BUSINESS OVERVIEW
FIGURE 50 IBM: COMPANY SNAPSHOT
TABLE 199 IBM: SOLUTIONS OFFERED
TABLE 200 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 201 IBM: DEALS
TABLE 202 IBM: OTHERS
12.2.3 SAP
TABLE 203 SAP: BUSINESS OVERVIEW
FIGURE 51 SAP: COMPANY SNAPSHOT
TABLE 204 SAP: SOLUTIONS OFFERED
TABLE 205 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 206 SAP: DEALS
TABLE 207 SAP: OTHERS
12.2.4 ORACLE
TABLE 208 ORACLE: BUSINESS OVERVIEW
FIGURE 52 ORACLE: COMPANY SNAPSHOT
TABLE 209 ORACLE: SOLUTIONS OFFERED
TABLE 210 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 211 ORACLE: DEALS
TABLE 212 ORACLE: OTHERS
12.2.5 SAS INSTITUTE
TABLE 213 SAS INSTITUTE: BUSINESS OVERVIEW
FIGURE 53 SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 214 SAS INSTITUTE: SOLUTIONS OFFERED
TABLE 215 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 216 SAS INSTITUTE: DEALS
TABLE 217 SAS INSTITUTE: OTHERS
12.2.6 GOOGLE
TABLE 218 GOOGLE: BUSINESS OVERVIEW
FIGURE 54 GOOGLE: COMPANY SNAPSHOT
TABLE 219 GOOGLE: SOLUTIONS OFFERED
TABLE 220 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 221 GOOGLE: DEALS
12.2.7 SALESFORCE
TABLE 222 SALESFORCE: BUSINESS OVERVIEW
FIGURE 55 SALESFORCE: COMPANY SNAPSHOT
TABLE 223 SALESFORCE: SOLUTIONS OFFERED
TABLE 224 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 225 SALESFORCE: DEALS
TABLE 226 SALESFORCE: OTHERS
12.2.8 AWS
TABLE 227 AWS: BUSINESS OVERVIEW
FIGURE 56 AWS: COMPANY SNAPSHOT
TABLE 228 AWS: SOLUTIONS OFFERED
TABLE 229 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 230 AWS: DEALS
TABLE 231 AWS: OTHERS
12.2.9 HPE
TABLE 232 HPE: BUSINESS OVERVIEW
FIGURE 57 HPE: COMPANY SNAPSHOT
TABLE 233 HPE: SOLUTIONS OFFERED
TABLE 234 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 235 HPE: DEALS
TABLE 236 HPE: OTHERS
12.2.10 TERADATA
TABLE 237 TERADATA: BUSINESS OVERVIEW
FIGURE 58 TERADATA: COMPANY SNAPSHOT
TABLE 238 TERADATA: SOLUTIONS OFFERED
TABLE 239 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 240 TERADATA: DEALS
12.2.11 ALTERYX
TABLE 241 ALTERYX: BUSINESS OVERVIEW
FIGURE 59 ALTERYX: COMPANY SNAPSHOT
TABLE 242 ALTERYX: SOLUTIONS OFFERED
TABLE 243 ALTERYX: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 244 ALTERYX: DEALS
TABLE 245 ALTERYX: OTHERS
12.2.12 FICO
TABLE 246 FICO: BUSINESS OVERVIEW
FIGURE 60 FICO: COMPANY SNAPSHOT
TABLE 247 FICO: SOLUTIONS OFFERED
TABLE 248 FICO: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 249 FICO: DEALS
12.2.13 ALTAIR
TABLE 250 ALTAIR: BUSINESS OVERVIEW
FIGURE 61 ALTAIR: COMPANY SNAPSHOT
TABLE 251 ALTAIR: SOLUTIONS OFFERED
TABLE 252 ALTAIR: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 253 ALTAIR: DEALS
12.2.14 DOMO
TABLE 254 DOMO: BUSINESS OVERVIEW
FIGURE 62 DOMO: COMPANY SNAPSHOT
TABLE 255 DOMO: SOLUTIONS OFFERED
TABLE 256 DOMO: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 257 DOMO: DEALS
12.2.15 CLOUDERA
TABLE 258 CLOUDERA: BUSINESS OVERVIEW
TABLE 259 CLOUDERA: SOLUTIONS OFFERED
TABLE 260 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 261 CLOUDERA: DEALS
TABLE 262 CLOUDERA: OTHERS
12.2.16 BOARD INTERNATIONAL
TABLE 263 BOARD INTERNATIONAL: BUSINESS OVERVIEW
TABLE 264 BOARD INTERNATIONAL: SOLUTIONS OFFERED
TABLE 265 BOARD INTERNATIONAL: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 266 BOARD INTERNATIONAL: DEALS
12.2.17 TIBCO SOFTWARE
TABLE 267 TIBCO SOFTWARE: BUSINESS OVERVIEW
TABLE 268 TIBCO SOFTWARE: SOLUTIONS OFFERED
TABLE 269 TIBCO SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 270 TIBCO SOFTWARE: DEALS
12.2.18 HITACHI VANTARA
12.2.19 HAPPIEST MINDS
12.2.20 DATAIKU
12.2.21 RAPIDMINER
12.2.22 QLIK
12.3 STARTUPS/SMES
12.3.1 BIOFOURMIS
12.3.2 IN-MED PROGNOSTICS
12.3.3 AITO.AI
12.3.4 SYMEND
12.3.5 ONWARD HEALTH
12.3.6 UNIONCRATE
12.3.7 CYBERLABS
12.3.8 ACTIFY DATA LABS
12.3.9 AMLGO LABS
12.3.10 VERIMOS
*Details on Business and financial overview, Solutions offered, Recent developments, MNM view, Key strengths/right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.
13 APPENDIX (Page No. - 296)
13.1 ADJACENT AND RELATED MARKETS
13.1.1 INTRODUCTION
13.1.2 CUSTOMER JOURNEY ANALYTICS MARKET—GLOBAL FORECAST TO 2026
13.1.2.1 Market definition
13.1.2.2 Market overview
13.1.2.2.1 Customer journey analytics market, by component
TABLE 271 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
TABLE 272 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
13.1.2.2.2 Customer journey analytics market, by application
TABLE 273 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
TABLE 274 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY APPLICATION, 2020–2026 (USD MILLION)
13.1.2.2.3 Customer journey analytics market, by deployment mode
TABLE 275 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
TABLE 276 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
13.1.2.2.4 Customer journey analytics market, by organization size
TABLE 277 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
TABLE 278 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
13.1.2.2.5 Customer journey analytics market, by industry vertical
TABLE 279 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
TABLE 280 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION)
13.1.2.2.6 Customer journey analytics market, by region
TABLE 281 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
TABLE 282 CUSTOMER JOURNEY ANALYTICS MARKET SIZE, BY REGION, 2020–2026 (USD MILLION)
13.1.3 BIG DATA MARKET - GLOBAL FORECAST TO 2025
13.1.3.1 Market definition
13.1.3.2 Market overview
13.1.3.2.1 Big data market, by component
TABLE 283 BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 284 SOLUTIONS: BIG DATA MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
TABLE 285 BIG DATA MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 286 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
13.1.3.2.2 Big data market, by deployment mode
TABLE 287 BIG DATA MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 288 CLOUD: BIG DATA MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
13.1.3.2.3 Big data market, by organization size
TABLE 289 BIG DATA MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
13.1.3.2.4 Big data market, by business function
TABLE 290 BIG DATA MARKET SIZE, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
13.1.3.2.5 Big data market, by industry vertical
TABLE 291 BIG DATA MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
13.1.3.2.6 Big data market, by region
TABLE 292 BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 AVAILABLE CUSTOMIZATIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of the Predictive Analytics market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the Predictive Analytics market.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from Predictive Analytics solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the Predictive Analytics market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the Predictive Analytics market. The bottom-up approach was used to arrive at the overall market size of the global Predictive Analytics market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market were identified through extensive secondary research.
- The market size, in terms of value, was determined through primary and secondary research processes.
- All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and predict the Predictive Analytics market by component (solutions and services), mode, organization size, deployment mode, end user, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Predictive Analytics market
- To analyze the impact of the COVID-19 pandemic on the Predictive Analytics market
Available customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American Predictive Analytics market
- Further breakup of the European Predictive Analytics market
- Further breakup of the APAC Predictive Analytics market
- Further breakup of the Latin American Predictive Analytics market
- Further breakup of the MEA Predictive Analytics market
Company information
- Detailed analysis and profiling of additional market players up to 5
Get in-depth analysis of the COVID-19 impact on the Predictive Analytics Market
Benchmarking the rapid strategy shifts of the Top 100 companies in the Predictive Analytics Market
Request For Special Pricing
- 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
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.
Do you think implementing predictive analysts will be a good strategy? Would it be good with an automation platform?