Product Overview
Predictive analytics is a methodology that analyses both historical and predicted activity as well as patterns. This research is carried out by applying various approaches, such as automatic algorithms for machine learning and statistical analysis. In order to be able to construct predictive models, these activities are carried out. In order to assess (quantitatively) the probability or likelihood of an occurrence happening, these models can then be used. Predictive analytics software uses available variables in order to analyze and calculate the probability of customer activity, equipment, etc. Prediction would allow companies to be prepared in advance with the customers’ necessary requirements. Predicting consumer requirements and designing products accordingly brings a competitive advantage to every organization.

Market Highlights
Predictive Analytics Market is expected to project a notable CAGR of 24.9% in 2030.
Predictive Analytics Market to surpass USD 23.4 billion by 2030 from USD 6.9 billion in 2019 at a CAGR of 24.9% throughout the forecast period, i.e., 2020-30. The increase in performance, the reduced risks expected to be taken due to the ability to make more well-informed decisions with the aid of predictive analytics, and the improvement in customer enhancement are factors that have a positive effect on the market. The rapid developments in technology, the boom in artificial intelligence, and the high level of competition have led to this market’s growth. The other drivers for the rapid growth of markets for predictive analysis include increased organizational use of Big Data and cloud and an increasing need for product differentiation that drives the launch and adoption of new technologies.

Predictive Analytics Market: Segments
Large enterprises segment to grow with the highest CAGR during 2020-30
Predictive Analytics Market is segmented by organization size as SMEs and large enterprises. The greater market share in 2019 was accounted for by the Large enterprises’ segment since predictive analytics tools are increasingly being implemented to forecast future patterns by using available historical data. Based on predictive performance, major companies are now planning their potential market plans. Besides, predictive analysis of large historical data gives companies a strategic advantage and allows them to improve their overall performance accordingly. Due to the higher adoption of cloud technologies and predictive analytics by small and medium-sized companies, the small and medium-sized business segment is expected to register the highest CAGR, contributing significantly to the growth of the segment. Such businesses need predictive analytics tools to boost their organizational efficiency by reducing total operating costs.

The Retail and eCommerce to grow with the highest CAGR during 2020-30
Predictive Analytics Market is segmented by vertical into BFSI, Retail and eCommerce, Telecommunications and IT, Energy, and Utilities, healthcare, Government and defense, Manufacturing and others. During the projected period the BFSI segment is projected to hold the largest market share. This can be attributed to the rising adoption by leading organizations operating in the BFSI vertical of advanced financial analytics solutions due to improved regulatory enforcement processes. The regulatory environment has become increasingly complex across the globe, which is why the market for vertical BFSI predictive analytics solutions is expected to rise over the forecast period. Besides, the implementation of technologies for predictive analytics enables BFSI businesses to experience digital transformation. It is expected that the retail and e-commerce segment will record the highest growth in the global market. Customer propensity towards a customized and personalized shopping experience plays a major role in driving demand in the retail and e-commerce market for predictive analytics solutions.

Predictive Analytics Market: Market Dynamics
Drivers
Increasing Adoption of Business Analytics and Business Intelligence
In order to create smarter, real-time, and fact-based decisions, businesses are interested in deriving insights from collected data. The introduction of big data and related technology has accelerated this need for in-depth expertise. The rapid growth in data volume is due to the worldwide expansion of corporations, driving the increase in data volumes and sources. Instead of blended solutions, businesses tend to have standalone solutions. This inevitably raises the number of start-ups in big data analytics, driving notable developments. Predictive analytics helps companies, by turning information into intelligence, to meet stakeholder expectations, manage data volumes, manage risks, enhance process controls, and boost administrative efficiency. In order to allow an efficient Intelligent Enterprise (IE) approach, advanced predictive analytics technologies play a critical role, helping to establish a single view across the entire company through the combination of traditional reporting.

Rise in adoption of Big Data technologies
Owing to the increase in the trend of the Internet of Things (IoT), social networking, and multimedia, which has generated a prodigious flow of data, the amount of data collected by the company is constantly growing. Both machine-based and human-generated data have a growth rate that is 10 times higher than traditional business data. Increasing the need for large volumes of structured and unstructured datasets to be collected, processed, and analyzed has led many companies and individuals to implement advanced & big data analytics, which is expected to drive market development. Besides, investment in big data will increase due to the vast amount of data generated in different verticals of the industry, which will in turn boost the growth of the predictive analytics market.

Restrain
Scarcity of skilled labor and cost complexity of software
The lack of trained professionals with adequate knowledge of the functioning of predictive analytics which, however, restricts market development. For this market, there are several limiting variables that are described as complex analytical workflows and a variety of data models based on business needs. It has a heap of problems to address in order for predictive analysis to work effectively. First of all, the trend found from which observations are made cannot always be consistent. Various market models follow distinct trends. Understanding each trend and predicting the outcome accordingly is one of the challenges. The goal is to turn the inconsistency into a coherent outcome. Besides, data privacy presents a greater challenge in applying this technology in multiple end-user verticals.

Predictive Analytics Market: Key Players
Alteryx, Inc

Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, and SWOT Analysis.

Fair Isaac Corporation
Information Builders
International Business Machines Corporation
KNIME
Microsoft Corporation
Oracle Corporation
SAP SE
SAS Institute Inc.
TIBCO Software Inc
Predictive Analytics Market: Regions
Predictive Analytics Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, APAC, and MENA.

Predictive Analytics Market in North America held the largest market share of XX.X% in the year 2019 and it is expected to continue its market dominance in the future owing to technological innovations and a strong presence, particularly in the United States, of market players. Besides, funding given to potential entrants by venture capitalists is expected to alleviate market competition. For existing players, increasing advances in techniques and methods involved in the production of predictive analytics solutions are expected to be key opportunities. Due to the commercialization of IoT technology and the growing adoption of advanced technologies across countries such as China, Japan, and ANZ, the Asia Pacific (APAC) is expected to rise at the highest CAGR during the forecast era. The increased internet penetration in the area offers companies tremendous opportunities to gain insights into consumer tastes, contributing to the adoption of APAC predictive analytics systems.

Competitive Landscape:
The predictive analytics market, which is highly competitive, consists of several major players such as Microsoft (US), IBM (US), SAS Institute (US), SAP SE (Germany), Oracle (US), Google (US), Salesforce (US), Amazon Web Services (US) hold a substantial market share in the Predictive Analytics market. Other players analyzed in this report are Hewlett Packard Enterprise (US), Teradata (US), Alteryx (US), Altair (US), FICO (US), Domo (US), Cloudera (US), Board International (Switzerland), TIBCO Software (US), Hitachi Vantara (US), Happiest Minds (India), Dataiku (US), Qlik (US), RapidMiner (US), ibi (US), Infor (US), Biofourmis (US), In-Med Prognostics (US), Aito.ai (Finland), Symend (US), Onward Health (India), Unioncrate (US), CyberLabs (Brazil), Actify Data Labs (India), Amigo Labs (India), Verimos (US) among others.

The market competition has been stepped up by the availability of many players offering Predictive Analytics. For Instance, In September 2020, Board International signed a strategic partnership with a Singapore-based global IT consultancy firm, Delaware. The strategic partnership would enhance both parties’ capabilities to drive digital transformation in customers’ business-wide decision-making processes.

Predictive Analytics Market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe
APAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC
MENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA
Predictive Analytics Market report also contains analysis on:
Predictive Analytics Market Segments:

By Component:
Solutions
Financial analytics
Risk analytics
Marketing analytics
Sales analytics
Customer analytics
Web and social media analytics
Supply chain analytics
Network analytics
Others
Services
Managed Services
Professional Services
Deployment and Integration
Consulting
By Deployment Mode:
On-premises
Cloud
By Organization Size:
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By Vertical:
BFSI
Retail and eCommerce
Manufacturing
Government and Defense
Healthcare and Life Sciences
Energy and Utilities
Transportation and Logistics
Telecommunications and IT
Others
Predictive Analytics Market Dynamics
Predictive Analytics Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
FAQs on Predictive Analytics Market
Which segment is anticipated to hold the largest market share?
At what CAGR is the market anticipated to grow between 2020 and 2030?
Who are the key players in the Predictive Analytics Market?
What could be the challenging factors in the growth of Predictive Analytics Market?
What are the growth drivers for the Predictive Analytics Market?

The post Global Predictive Analytics Market Outlook 2030: Industry Insights & Opportunity Evaluation, 2019-2030 first appeared on CRI Report.

Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years.

The “Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2017 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered
The report covers the following topics:
– Big Data ecosystem
– Market drivers and barriers
– Big Data technology, standardization and regulatory initiatives
– Big Data industry roadmap and value chain
– Analysis and use cases for 14 vertical markets
– Big Data analytics technology and case studies
– Big Data vendor market share
– Company profiles and strategies of 240 Big Data ecosystem players
– Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
– Market analysis and forecasts from 2017 till 2030

Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services
– Hardware
– Software
– Professional Services

Horizontal Submarkets
– Storage & Compute Infrastructure
– Networking Infrastructure
– Hadoop & Infrastructure Software
– SQL
– NoSQL
– Analytic Platforms & Applications
– Cloud Platforms
– Professional Services

Vertical Submarkets
– Automotive, Aerospace & Transportation
– Banking & Securities
– Defense & Intelligence
– Education
– Healthcare & Pharmaceutical
– Smart Cities & Intelligent Buildings
– Insurance
– Manufacturing & Natural Resources
– Web, Media & Entertainment
– Public Safety & Homeland Security
– Public Services
– Retail, Wholesale & Hospitality
– Telecommunications
– Utilities & Energy
– Others

Regional Markets
– Asia Pacific
– Eastern Europe
– Latin & Central America
– Middle East & Africa
– North America
– Western Europe

Country Markets
– Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered
The report provides answers to the following key questions:
– How big is the Big Data ecosystem?
– How is the ecosystem evolving by segment and region?
– What will the market size be in 2020 and at what rate will it grow?
– What trends, challenges and barriers are influencing its growth?
– Who are the key Big Data software, hardware and services vendors and what are their strategies?
– How much are vertical enterprises investing in Big Data?
– What opportunities exist for Big Data analytics?
– Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings
The report has the following key findings:
– In 2017, Big Data vendors will pocket over $57 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 10% over the next three years, eventually accounting for over $76 Billion by the end of 2020.
– As part of wider plans to revitalize their economies, countries across the world are incorporating legislative initiatives to capitalize on Big Data. For example, the Japanese government is engaged in developing intellectual property protection and dispute resolution frameworks for Big Data assets, in a bid to encourage data sharing and accelerate the development of domestic industries.
– By the end of 2017, SNS Research estimates that as much as 30% of all Big Data workloads will be processed via cloud services as enterprises seek to avoid large-scale infrastructure investments and security issues associated with on-premise implementations.
– The vendor arena is continuing to consolidate with several prominent M&A deals such as computer hardware giant Dell’s $60 Billion merger with data storage specialist EMC.

The post The Big Data Market: 2017 – 2030 first appeared on CRI Report.

Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Telecom & IT estimates that Big Data investments will account for over $65 Billion in 2018 alone. These investments are further expected to grow at a CAGR of approximately 14% over the next three years.

The “Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor profiles, market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2018 till 2030. The forecasts are segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered
The report covers the following topics:
– Big Data ecosystem
– Market drivers and barriers
– Enabling technologies, standardization and regulatory initiatives
– Big Data analytics and implementation models
– Key trends – including AI (Artificial Intelligence), machine learning, edge analytics, cloud-based Big Data platforms, and the impact of the IoT (Internet of Things)
– Analysis of key applications and investment potential for 14 vertical markets
– Over 60 case studies on the use of Big Data and analytics
– Big Data vendor market share
– Future roadmap and value chain
– Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
– Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
– Market analysis and forecasts from 2018 till 2030

Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services
– Hardware
– Software
– Professional Services

Horizontal Submarkets
– Storage & Compute Infrastructure
– Networking Infrastructure
– Hadoop & Infrastructure Software
– SQL
– NoSQL
– Analytic Platforms & Applications
– Cloud Platforms
– Professional Services

Vertical Submarkets
– Automotive, Aerospace & Transportation
– Banking & Securities
– Defense & Intelligence
– Education
– Healthcare & Pharmaceutical
– Smart Cities & Intelligent Buildings
– Insurance
– Manufacturing & Natural Resources
– Web, Media & Entertainment
– Public Safety & Homeland Security
– Public Services
– Retail, Wholesale & Hospitality
– Telecommunications
– Utilities & Energy
– Others

Regional Markets
– Asia Pacific
– Eastern Europe
– Latin & Central America
– Middle East & Africa
– North America
– Western Europe

Country Markets
– Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered
The report provides answers to the following key questions:
– How big is the Big Data ecosystem?
– How is the ecosystem evolving by segment and region?
– What will the market size be in 2021, and at what rate will it grow?
– What trends, challenges and barriers are influencing its growth?
– Who are the key Big Data software, hardware and services vendors, and what are their strategies?
– How much are vertical enterprises investing in Big Data?
– What opportunities exist for Big Data analytics?
– Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings
The report has the following key findings:
– In 2018, Big Data vendors will pocket over $65 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for more than $96 Billion by the end of 2021.
– With ongoing advances in AI (Artificial Intelligence) technologies, Big Data analytics initiatives are beginning to leverage sophisticated deep learning systems with an autonomous sense of judgment – to enable a range of applications from chatbots and virtual assistants to self-driving vehicles and precision medicine.
– In order to analyze data closer to where it is collected, Big Data and advanced analytics technologies are increasingly being integrated into edge environments, including network nodes, numerous industrial machines and IoT (Internet of Things) devices.
– The vendor arena is continuing to consolidate with several prominent M&A deals such as Oracle’s recent acquisition of enterprise data science platform provider DataScience.com – in a bid to beef up its capabilities in machine learning and Big Data for predictive analytics, and Google’s acquisition of Big Data application platform provider Cask Data.

The post The Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts first appeared on CRI Report.