Advanced Analytics Market Overview:

The advanced analytics process involves the autonomous or semi-autonomous analysis of data or content using sophisticated techniques and tools, often beyond those used in traditional business intelligence (BI), in order to discover deeper insights, make predictions, or generate recommendations. There are advanced analytical techniques such as data mining, machine learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing, and neural networks. Online shopping is becoming increasingly popular, and social media platforms are being more widely adopted. These factors are driving the growth of the market. Worldwide, businesses have generated an exponential amount of data in recent years. The gathered data is used by businesses to make better, real-time, and factual decisions. As a result, data management and strategic decision-making have become increasingly dependent on advanced analytics solutions. Furthermore, big data developments have helped improve the assessment abilities of data scientists. With big data analytics, enterprises can improve crucial business functions, processes, and objectives. Turning information into intelligence allows organizations to meet stakeholder demands, manage data volumes, manage risks, improve process controls, and boost administrative performance. The market growth is anticipated to be driven by the growing adoption of advanced analytics tools for applications such as predicting and forecasting electricity consumption, trade markets, and traffic trends. Advanced analytics can be used in demand forecasting to help organizations make informed decisions and enhance profitability. Recent years have seen government agencies and various industries, including banking, manufacturing, and professional services, invest heavily in big data analytics.

The communications industry is growing at an exponential rate owing to the technological advancements in recent years and with the advent of 5G wireless network technology, this industry is bound to showcase exceptional growth numbers over the next few years. Key players of the smartphone industry have initiated the manufacturing and distribution of 5G -enabled smartphones in developed nations and these devices shall soon be regularized across the world. Furthermore, technologies like artificial intelligence and machine learning have paved the way for the development of autonomous vehicles and with governments across the world taking initiatives in building an infrastructure compatible with these vehicles, it is predicted to grow at a remarkable rate in the upcoming years. Entertainment and recreational industries like gaming are exponentially proliferating with the introduction of augmented reality (AR) and virtual reality (VR) thus improving the overall gaming experience. The gaming industry is gaining huge popularity across the globe owing to the organization of international tournaments with bigger prize pools thus helping technologies like AR and VR reach every single corner of the world.

The assessment of the Advanced Analytics Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The Advanced Analytics Market is also analyzed based on the regional segmentation, product or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the Advanced Analytics Market:

• IBM

• Oracle

• SAS Institute

• SAP

• Fico

• Knime

• Microsoft

• Altair

• Rapidminer

• AWS

• Tibco Software

• Alteryx

• Teradata

• Adobe

• Absolutdata Analytics

• Moody’s Analytics

• Qlik

• Databricks

• Salesforce

• Dataiku

(Note: The list of the major players will be updated with the latest market scenario and trends)

Advanced Analytics Market Segmentation:

By Component

• Solution

• Services

    o Professional Services

         o Training and Consulting

         o System integration and implementations

         o Support and Maintenance

    o Managed Services

By Business Function

• Marketing and Sales

• Finance

• Human Resource (HR)

• Operations

• Supply Chain

By Type

• Big Data Analytics

• Predictive Analytics

• Customer Analytics

• Statistical Analytics

• Risk Analytics

• Prescriptive Analytics

• Other Types

By Deployment Mode

• Cloud

• On-premises

By Organization Size

• Small And Medium Enterprises

• Large Enterprises

By Vertical

• Banking Finance Services and Insurance (BFSI)

• IT and Telecom

• Retail and Consumer Goods

• Healthcare and Life Sciences

• Transportation and Logistics

• Government and Defence

• Manufacturing

• Media and Entertainment

• Other Verticals

By Region

• North America

• Europe

• Asia-Pacific

• Latin America

• Middle East and Africa

Advanced Analytics Market Competitive Analysis:

• Tier-1 Players

• Tier-2 Players

• Emerging Players

• New Entrants

Future Market Analytics Focus Points:

• SWOT Analysis

• Key Market Trends

• Key Data -Points Affecting Market Growth

• Revenue and Forecast Analysis

• Growth Opportunities For New Entrants and Emerging Players

• Key Player and Market Growth Matrix 

Objectives of the Study:

• To provide a comprehensive analysis on the Advanced Analytics Market By Component, By Business Function, By Type, By Deployment Mode, By Organization Size, By Vertical and By Region

• To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)

• To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa

• To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

In case of any requirements or changes to the current table of content please contact us at:
enquiry@futuremarketanalytics.com

Description

1. Market Introduction

    1.1. Objectives of the Study 

    1.2. Market Definition 

    1.3. Market Scope 

         1.3.1 Years Considered for the Study

         1.3.2 Market Covered

    1.4. Currency

    1.5. Limitations 

    1.6. Stakeholders 

2. Research Methodology 

    2.1. Research Data 

         2.1.1. Secondary Data

                2.1.1.1. Key Data from Secondary Sources

         2.1.2. Primary Data

                2.1.2.1. Key Data from Primary Sources

    2.2. Market Size Estimation 

    2.3. Market Breakdown and Data Triangulation 

    2.4. Assumptions for the Study  

3. Executive Summary

    3.1. Market Outlook

    3.2. Segment Outlook

    3.3. Competitive Insights

4. Market Variables, Trends & Scope

    4.1. Market Lineage Outlook

    4.2. Penetration and Growth Prospect Mapping

    4.3. Industry Value Chain Analysis

    4.4. Cost Analysis Breakdown

    4.5. Technology Overview

    4.6. Regulatory Framework on Country Level

         4.6.1. Reimbursement Framework

         4.6.2. Standards and Compliances

5. Market Overview

    5.1. Market Dynamics

         5.1.1. Market Driver Analysis

         5.1.2. Market Restraint Analysis

         5.1.3. Industry Challenges

6. Market Analysis Tools

    6.1. Industry Analysis – Porter’s

         6.1.1. Supplier Power

         6.1.2. Buyer Power

         6.1.3. Substitution Threat

         6.1.4. Threat from new entrants

         6.1.5. Competitive Rivalry

    6.2. Pestel Analysis

         6.2.1. Political Landscape

         6.2.2. Environmental Landscape

         6.2.3. Social landscape

         6.2.4. Technology landscape

         6.2.5. Legal Landscape

7. Advanced Analytics Market, By Component Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    7.1. Solution

    7.2. Services

         7.2.1. Professional Services

                7.2.1.1. Training and Consulting

                7.2.1.2. System integration and implementations

                7.2.1.3. Support and Maintenance

         7.2.2. Managed Services

 8. Advanced Analytics Market, By Business Function Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    8.1. Marketing and Sales

    8.2. Finance

    8.3. Human Resource (HR)

    8.4. Operations

    8.5. Supply Chain

9. Advanced Analytics Market, By Type Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    9.1. Big Data Analytics

    9.2. Predictive Analytics

    9.3. Customer Analytics

    9.4. Statistical Analytics

    9.5. Risk Analytics

    9.6. Prescriptive Analytics

    9.7. Other Types

10. Advanced Analytics Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    10.1. Cloud

    10.2. On-premises

11. Advanced Analytics Market, By Organization Size Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    11.1. Small And Medium Enterprises

    11.2. Large Enterprises

12. Advanced Analytics Market, By Vertical Historical Analysis 2016-2020 and Forecast 2022-2028 (USD million)

    12.1. Banking Finance Services and Insurance (BFSI)

    12.2. IT and Telecom

    12.3. Retail and Consumer Goods

    12.4. Healthcare and Life Sciences

    12.5. Transportation and Logistics

    12.6. Government and Defence

    12.7. Manufacturing

    12.8. Media and Entertainment

    12.9. Other Verticals

13. North America Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    13.1. Introduction

    13.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          13.2.1. U.S.

          13.2.2. Canada

          13.2.3. Mexico

          13.2.4. Rest of North America

    13.3. Market Size (USD Mn) Forecast for North America 2022-2028

14. Latin America Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    14.1. Introduction

    14.2. Regional Market Trends

    14.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          14.3.1. Brazil

          14.3.2. Venezuela

          14.3.3. Argentina

          14.3.4. Rest of Latin America

    14.4 Market Size (USD Mn) Forecast for Latin America 2022-2028

15. Europe Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    15.1. Introduction

    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          15.2.1. Germany

          15.2.2. U.K

          15.2.3. France

          15.2.4. Italy

          15.2.5. Switzerland

          15.2.6. Spain

          15.2.7. Russia

          15.2.8. Poland

          15.2.9. Rest of Europe

    15.3. Market Size (USD Mn) Forecast for Europe 2022-2028

16. Asia Pacific Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    16.1. Introduction

    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          16.2.1. Japan

          16.2.2. China

          16.2.3. Singapore

          16.2.4. Korea         

          16.2.5. India

          16.2.6. Australia and New Zealand

          16.2.7. ASEAN

          16.2.8. Rest of Asia Pacific

    16.3. Market Size (USD Mn) Forecast for Asia Pacific 2022-2028

17. Middle East and Africa Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million)

    17.1. Introduction

    17.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          17.2.1. UAE

          17.2.2. South Africa

          17.2.3. Egypt

          17.2.4. Saudi Arabia

          17.2.5. Rest of MEA

    17.3. Market Size (USD Mn) Forecast for MEA 2022-2028

18. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)

    18.1. IBM

           18.1.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.1.2. Product Portfolio

           18.1.3. SWOT Analysis

           18.1.4. Financial Overview

           18.1.5. Strategic Overview

    18.2. Oracle

           18.2.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.2.2. Product Portfolio

           18.2.3. SWOT Analysis

           18.2.4. Financial Overview

           18.2.5. Strategic Overview

    18.3. SAS Institute

           18.3.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.3.2. Product Portfolio

           18.3.3. SWOT Analysis

           18.3.4. Financial Overview

           18.3.5. Strategic Overview

    18.4. SAP

           18.4.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.4.2. Product Portfolio

           18.4.3. SWOT Analysis

           18.4.4. Financial Overview

           18.4.5. Strategic Overview

    18.5. Fico

           18.5.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.5.2. Product Portfolio

           18.5.3. SWOT Analysis

           18.5.4. Financial Overview

           18.5.5. Strategic Overview

    18.6. Knime

           18.6.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.6.2. Product Portfolio

           18.6.3. SWOT Analysis

           18.6.4. Financial Overview

           18.6.5. Strategic Overview

    18.7. Microsoft

           18.7.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.7.2. Product Portfolio

           18.7.3. SWOT Analysis

           18.7.4. Financial Overview

           18.7.5. Strategic Overview

    18.8. Altair

           18.8.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.8.2. Product Portfolio

           18.8.3. SWOT Analysis

           18.8.4. Financial Overview

           18.8.5. Strategic Overview    

    18.9. Rapidminer

           18.9.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.9.2. Product Portfolio

           18.9.3. SWOT Analysis

           18.9.4. Financial Overview

           18.9.5. Strategic Overview

    18.10. AWS

           18.10.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.10.2. Product Portfolio

           18.10.3. SWOT Analysis

           18.10.4. Financial Overview

           18.10.5. Strategic Overview

    18.11. Tibco Software

           18.11.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.11.2. Product Portfolio

           18.11.3. SWOT Analysis

           18.11.4. Financial Overview

           18.11.5. Strategic Overview

    18.12. Alteryx

           18.12.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.12.2. Product Portfolio

           18.12.3. SWOT Analysis

           18.12.4. Financial Overview

           18.12.5. Strategic Overview

    18.13. Teradata

           18.13.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.13.2. Product Portfolio

           18.13.3. SWOT Analysis

           18.13.4. Financial Overview

           18.13.5. Strategic Overview

    18.14. Adobe

           18.14.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.14.2. Product Portfolio

           18.14.3. SWOT Analysis

           18.14.4. Financial Overview

           18.14.5. Strategic Overview

    18.15. Absolutdata Analytics

           18.15.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.15.2. Product Portfolio

           18.15.3. SWOT Analysis

           18.15.4. Financial Overview

           18.15.5. Strategic Overview

    18.16. Moody’s Analytics

           18.16.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.16.2. Product Portfolio

           18.16.3. SWOT Analysis

           18.16.4. Financial Overview

           18.16.5. Strategic Overview

    18.17. Qlik

           18.17.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.17.2. Product Portfolio

           18.17.3. SWOT Analysis

           18.17.4. Financial Overview

           18.17.5. Strategic Overview

    18.18. Databricks

           18.18.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.18.2. Product Portfolio

           18.18.3. SWOT Analysis

           18.18.4. Financial Overview

           18.18.5. Strategic Overview

    18.19. Salesforce

           18.19.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.19.2. Product Portfolio

           18.19.3. SWOT Analysis

           18.19.4. Financial Overview

           18.19.5. Strategic Overview

    18.20. Dataiku

           18.20.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.20.2. Product Portfolio

           18.20.3. SWOT Analysis

           18.20.4. Financial Overview

           18.20.5. Strategic Overview

(Note: The list of the major players will be updated with the latest market scenario and trends)

19. Impact of COVID-19

    19.1. Positive influence on the industry

    19.2. The financial disruption of the sector

    19.3. Impact of COVID-19 on emerging companies

    19.4. Significant mandates in the industry regulations initiated by administrations 

    19.5. The overall economic slowdown of the developing and developed nations

20. Competitive Intelligence and Competitive Matrix

    20.1. Competitive Intelligence

    20.2. Competitive Matrix

21. Major Deals and Strategic Alliances Analysis

    21.1. Joint ventures

    21.2. Mergers and acquisitions

    21.3. Licensing and partnerships 

    21.4. Technology Collaborations

    21.5. Strategic Divestments

    21.6. Market Entry Strategies        

22. Relevant Case Studies and Latest News Updates

23. Key Market Takeaway Points from the Market Analysts at Future Market Analytics