U S Predictive Analytics Market by Component (Solution, Services, and Connectivity Technology), Deployment (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Industry Vertical (BFSI, Retail, IT & Telecom, Healthcare, Government, Manufacturing, and Others): Country Opportunity Analysis and Industry Forecast, 2020-2027, Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider U.S. Predictive Analytics market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, U.S. Predictive Analytics market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get complete Report (Including Full TOC, 100+ Tables & Figures, and Chart). – In-depth Analysis Pre & Post COVID-19 Market Outbreak Impact Analysis & Situation by Region
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Key Segments Studied in the U.S. Predictive Analytics Market
The U.S. predictive analytics market size was valued at $2.49 billion in 2019 and is projected to reach $8.27 billion by 2027, growing at a CAGR of 16.1% from 2020 to 2027.
Predictive analytics is the practice of using statistics and modeling techniques to extract information from current and historical datasets to predict potential future outcomes and trends. Rise in awareness among organizations about massive volume of data generated to predict future outcomes by using predictive analysis solutions is driving the growth of the market. In addition, increase in usage of internet coupled with the availability of several sources of accessing the internet has led increase in data generation. Thus, leveraging this data to make accurate business strategies and decisions optimizes the revenue, which is driving the demand for predictive analytics solutions.
Increase in the adoption of predictive modeling tools, surge in investments for Big Data supporting initiatives by governments and rise in adoption of Big Data technologies are some of the major factors that are driving the global predictive analytics market growth. However, dearth of skilled IT staff and high implementation cost are anticipated to restrict the market growth. On the contrary, integration of IoT and AI in predictive analytics and rise in demand for predictive analytics by SMEs are anticipated to provide lucrative growth opportunities for the expansion of global predictive analytics market during the analysis period.
Based on connectivity technology, the Wi-Fi segment has dominated the U.S. predictive analytics market share in 2019 and is projected to maintain its dominance in the country. However, the 4G+ segment is expected to attain significant growth during the forecast period.
According to industry vertical, the BFSI segment accounted for the highest share in predictive analytics market share in 2019, as regulatory framework has become more complex across the world. Moreover, predictive analytics in BFSI facilitates capital planning, financial analytics, credit risk management, and insurance risk management, which further fuel the growth of this segment.
The report focuses on the growth prospects, restraints, and trends of the U.S. predictive analytics market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers in the U.S. predictive analytics market.
The U.S. predictive analytics market analysis is segmented based on component, deployment, enterprise size, and industry vertical. In terms of component, it is bifurcated into solution, services, and connectivity technology. The connectivity technology segment is further bifurcated into wired, cellular technology (2G & 3G and 4G+), Wi-Fi, Bluetooth, and others. Based on deployment, the market is divided into on-premise and cloud. Based on enterprise size, it is classified into large enterprises and small & medium-sized enterprises. According to industry vertical, it is segmented into BFSI, retail, IT & telecom, healthcare, government, manufacturing, and others.
Top impacting factors
Rise in adoption of predictive modeling tools
Predictive modeling tools help in accelerating the methods of developing and analyzing predictive models that are used by organizations for conducting operations such as customer analytics, risk reporting, threat management, and product innovation. Therefore, the adoption of predictive modeling tools has amplified in recent years supplemented with interactive visualization and automation across several industrial sectors. Furthermore, the use of predictive modeling tools for social media advertising, e-mail campaigns, and cognitive analysis of customers has led to growth in sales and increase in customer retention. Thus, as several industries such as BFSI, retail & e-commerce, and manufacturing are adopting predictive modelling tools, which is expected to contribute toward the predictive analytics market growth.
Increased adoption of Big Data technologies
Increase in need to store, process, and analyze large volume of structured as well as unstructured datasets has driven many organizations and individuals to adopt advanced & big data analytics, which is likely to drive the growth of the market. Moreover, the volume of data captured by organization is continuously increasing due to rise in trend of Internet of Things (IoT), social media, and multimedia, which has produced a prodigious flow of data. Furthermore, due to massive amount of data generation in different industry verticals, investment in Big Data will increase, which, in turn, is expected to fuel the growth of the predictive analytics market.
Advent of modern technologies such as IoT and AI
IoT environment is proliferating the adoption of predictive analytics, as it facilitates predictive maintenance leading to enhanced energy efficiency and higher levels of production uptime. In addition, numerous industries are demanding a solution that can predict when their machines are going to get damaged. They are implementing sensors that can analyze the patterns and predict the outcome or any anomaly in the operation of machines. This as a result enables industries to reduce the downtime of the machine and increase the productivity. This benefit is expected to provide lucrative opportunities to the predictive analytics industry in upcoming years.
Key benefits for stakeholders
– The study provides an in-depth analysis of the U.S. predictive analytics market share along with the current & future trends to elucidate the imminent investment pockets.
– Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
– Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
– An extensive analysis of the key segments of the industry helps to understand the U.S. predictive analytics market trends.
– The quantitative analysis of the U.S. predictive analytics market from 2020 to 2027 is provided to determine the market potential.
|U.S. Predictive Analytics Market
By Component (Solution, Services, and Connectivity Technology),
By Deployment (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises),
By Industry Vertical (BFSI, Retail, IT & Telecom, Healthcare, Government, Manufacturing, and Others): Country Opportunity Analysis and Industry Forecast, 2020-2027
A combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021
|covid-19 scenario||Market Behavior/ Level of Risk and Opportunity||End Industry Behavior/ Opportunity Assessment||Expected Industry Recovery Timeline||Business Impact Horizon|
|Opening of Economy by Q3 2020||xx||xx||xx||xx|
|Recovery – Opening of Economy extended till Q4 2020 / Q1 2021||xx||xx||xx||xx|
Under COVID-19 Outbreak Impact Analysis:
We analyzed industry trends in the context of COVID-19. We analyzed the impact of COVID-19 on the product industry chain based on the upstream and downstream markets. We analyze the impact of COVID-19 on various regions and major countries.
The impact of COVID-19 on the future development of the industry is pointed out.
Study Explore :
- Market Behavior/ Level of Risk and Opportunity
- End Industry Behavior/ Opportunity Assessment
- Expected Industry Recovery Timeline
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In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.
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Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis
The study objectives of this report are:
- To study and analyze the market size (value & volume) by company, key regions/countries, products and application, history data from 2014 to 2018, and forecast to 2025.
- To understand the structure of market by identifying its various subsegments.
- To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
- Focuses on the key manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
- To analyze the growth trends, future prospects, and their contribution to the total market.
- To project the value and volume of submarkets, with respect to key regions (along with their respective key countries).
- To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
- To strategically profile the key players and comprehensively analyze their growth strategies.
The Study Explore COVID 19 Outbreak Impact Analysis
- What should be entry strategies, countermeasures to economic impact, and marketing channels?
- What are market dynamics?
- What are challenges and opportunities?
- What is economic impact on market?
- What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
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Key Points Covered in U.S. Predictive Analytics Market Report:
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of U.S. Predictive Analytics market, Applications, Market Segment by Regions North America, Europe or Asia;
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the Overall Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show the Market size, share and forecast; Five forces analysis (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation, comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, focus on identifying the key industry influencer’s, overview of decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels and demand & supply.
Chapter 13 and 14, describe about the vendor landscape (classification and Market Positioning)
Chapter 15, deals with U.S. Predictive Analytics Market sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
……..and view more in complete table of Contents
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