Analytics-as-a-Service Market

Analytics-as-a-Service Market



Growth Factors of Analytics-as-a-Service Market

The analytics-as-a-service market size was valued at USD 6.68 billion in 2022, and the market is now projected to grow from USD 8.07 billion in 2023 to USD 39.91 billion by 2030, exhibiting a CAGR of 25.7% during the forecast period of 2023-2030.

The imposition of lockdown during has increased remote work and boosted the demand for faster internet connectivity and data usage. The COVID-19 pandemic has optimistically affected the analytics-as-a-service market growth. The financial uncertainty and budget constraints in the wake of the pandemic led to delay or scale back their analytic initiatives that have impacted this market. The digitalization of various sectors has propelled demand for the system.

The analytics-as-a-service market share globally has been enhanced due to the easing adoption of social media applications among customers. The emergence of social media and advanced technology is majorly impacting the services. Social media apps generate a huge amount of data every second. This huge data mainly boosts the analytics services market. The growing need for businesses to analyze social media information for their own specific goals is also encouraging the market growth.

The growing implementation of cloud-based technological solutions among various organizations is the major trend in the market. This paves the way for modern and technically robust solutions that allow organizations to easily scale their analytics infrastructure up or down on the basis of their needs. This flexibility is valuable for handling changeable workloads and managing large datasets. Several companies across the globe are progressively using these services to improve the performance of various business aspects and processes, hence increasing the demand for the service.

Comprehensive Analysis of Analytics-as-a-Service Market

The analytics-as-a-service market and information & communication technology industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the information & communication technology industry. These segmentations are methodically segregated by types of component, analytics type, enterprise type, and industry. The component includes solutions and services. The analytics type is such as predictive, diagnostic, descriptive, and prescriptive. The enterprise types are SMEs and large enterprises. The industry is classified as BFSI, IT & telecommunication, retail & Ecommerce, manufacturing, transportation & logistics, government & public sector, and others.

The North American region is conducive to the global analytics-as-a-service market, leading to a recall of USD 1.56 billion due to the increasing utilization of big data and the rising integration of Internet of Things (IoT) devices.

The top players in the market play a crucial role in the information & communication technology industry assuring industrial prospectus growth and setting market standards. These players are Microsoft Corporation (U.S.), IBM Corporation (U.S.), SAP SE (Germany), Atos (France), Google (U.S.), Msys Technologies (U.S.), Cloudera (U.S.), Thoughtspot (U.S.), Qlik (France), and Domo (U.S.), Inc. (U.S.), these market players present a level-playing competitive landscape.

In June 2023, Microsoft announced their partnership with Moody’s Corporation to deliver next-generation data. Through this agreement they provide collaboration, research, analytics, and risk solutions for corporate intelligence and financial services.

Segmentation Table

Global Analytics-as-a-Service Market Scope

ATTRIBUTE DETAILS

Study Period 2017-2030

Base Year 2022

Estimated Year 2023

Forecast Period 2023-2030

Historical Period 2017-2021

Growth Rate CAGR of 25.7% from 2023 to 2030

Unit Value (USD Billion)

Segmentation By Component

Solution

Services

By Analytics Type

Predictive

Diagnostic

Descriptive

Prescriptive

By Enterprise Type

Large Enterprises

Small & Medium Enterprises

By Industry

BFSI

IT & Telecommunication

Retail & E-commerce

Manufacturing

Transportation & Logistics

Government & Public Sector

Others (Education)

By Region

North America (By Component, Analytics Type, Enterprise Type, Industry and Country)
  • U.S. (By Industry)
  • Canada (By Industry)
  • Mexico (By Industry)
South America (By Component, Analytics Type, Enterprise Type, Industry and Country)
  • Brazil (By Industry)
  • Argentina (By Industry)
  • Rest of South America
Europe (By Component, Analytics Type, Enterprise Type, Industry and Country)
  • Germany (By Industry)
  • France (By Industry)
  • Italy (By Industry)
  • Spain (By Industry)
  • Russia (By Industry)
  • Benelux (By Industry)
  • Nordics (By Industry)
  • Rest of Europe
Middle East & Africa (By Component, Analytics Type, Enterprise Type, Industry and Country)
  • Turkey (By Industry)
  • Israel (By Industry)
  • GCC (By Industry)
  • South Africa (By Industry)
  • North Africa (By Industry)
  • Rest of the Middle East & Africa
Asia Pacific (By Component, Analytics Type, Enterprise Type, Industry and Country)
  • China (By Industry)
  • India (By Industry)
  • Japan (By Industry)
  • South Korea (By Industry)
  • ASEAN (By Industry)
  • Oceania (By Industry)
  • Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of COVID-19
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Analytics as a Service Key Players Market Share/Ranking, 2022
5. Global Analytics as a Service Market Size Estimates and Forecasts, By Segments, 2017-2030
5.1. Key Findings
5.2. By Component (USD)
5.2.1. Solution
5.2.2. Services
5.3. By Analytics Type (USD)
5.3.1. Predictive
5.3.2. Diagnostic
5.3.3. Descriptive
5.3.4. Prescriptive
5.4. By Enterprise Type (USD)
5.4.1. Large Enterprises
5.4.2. Small & Medium Enterprises
5.5. By Industry (USD)
5.5.1. BFSI
5.5.2. IT & Telecommunications
5.5.3. Retail & Ecommerce
5.5.4. Manufacturing
5.5.5. Transportation & Logistics
5.5.6. Government & Public Sector
5.5.7. Others (Education, etc.)
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East & Africa
5.6.5. Asia Pacific
6. North America Analytics as a Service Market Size Estimates and Forecasts, By Segments, 2017-2030
6.1. Key Findings
6.2. By Component (USD)
6.2.1. Solution
6.2.2. Services
6.3. By Analytics Type (USD)
6.3.1. Predictive
6.3.2. Diagnostic
6.3.3. Descriptive
6.3.4. Prescriptive
6.4. By Enterprise Type (USD)
6.4.1. Large Enterprises
6.4.2. Small & Medium Enterprises
6.5. By Industry (USD)
6.5.1. BFSI
6.5.2. IT & Telecommunications
6.5.3. Retail & Ecommerce
6.5.4. Manufacturing
6.5.5. Transportation & Logistics
6.5.6. Government & Public Sector
6.5.7. Others (Education, etc.)
6.6. By Country (USD)
6.6.1. United States
6.6.1.1. By Industry
6.6.2. Canada
6.6.2.1. By Industry
6.6.3. Mexico
6.6.3.1. By Industry
7. South America Analytics as a Service Market Size Estimates and Forecasts, By Segments, 2017-2030
7.1. Key Findings
7.2. By Component (USD)
7.2.1. Solution
7.2.2. Services
7.3. By Analytics Type (USD)
7.3.1. Predictive
7.3.2. Diagnostic
7.3.3. Descriptive
7.3.4. Prescriptive
7.4. By Enterprise Type (USD)
7.4.1. Large Enterprises
7.4.2. Small & Medium Enterprises
7.5. By Industry (USD)
7.5.1. BFSI
7.5.2. IT & Telecommunications
7.5.3. Retail & Ecommerce
7.5.4. Manufacturing
7.5.5. Transportation & Logistics
7.5.6. Government & Public Sector
7.5.7. Others (Education, etc.)
7.6. By Country (USD)
7.6.1. Brazil
7.6.1.1. By Industry
7.6.2. Argentina
7.6.2.1. By Industry
7.6.3. Rest of South America
8. Europe Analytics as a Service Market Size Estimates and Forecasts, By Segments, 2017-2030
8.1. Key Findings
8.2. By Component (USD)
8.2.1. Solution
8.2.2. Services
8.3. By Analytics Type (USD)
8.3.1. Predictive
8.3.2. Diagnostic
8.3.3. Descriptive
8.3.4. Prescriptive
8.4. By Enterprise Type (USD)
8.4.1. Large Enterprises
8.4.2. Small & Medium Enterprises
8.5. By Industry (USD)
8.5.1. BFSI
8.5.2. IT & Telecommunications
8.5.3. Retail & Ecommerce
8.5.4. Manufacturing
8.5.5. Transportation & Logistics
8.5.6. Government & Public Sector
8.5.7. Others (Education, etc.)
8.6. By Country (USD)
8.6.1. United Kingdom
8.6.1.1. By Industry
8.6.2. Germany
8.6.2.1. By Industry
8.6.3. France
8.6.3.1. By Industry
8.6.4. Italy
8.6.4.1. By Industry
8.6.5. Spain
8.6.5.1. By Industry
8.6.6. Russia
8.6.6.1. By Industry
8.6.7. Benelux
8.6.7.1. By Industry
8.6.8. Nordics
8.6.8.1. By Industry
8.6.9. Rest of Europe
9. Middle East & Africa Analytics as a Service Market Size Estimates and Forecasts, By Segments, 2017-2030
9.1. Key Findings
9.2. By Component (USD)
9.2.1. Solution
9.2.2. Services
9.3. By Analytics Type (USD)
9.3.1. Predictive
9.3.2. Diagnostic
9.3.3. Descriptive
9.3.4. Prescriptive
9.4. By Enterprise Type (USD)
9.4.1. Large Enterprises
9.4.2. Small & Medium Enterprises
9.5. By Industry (USD)
9.5.1. BFSI
9.5.2. IT & Telecommunications
9.5.3. Retail & Ecommerce
9.5.4. Manufacturing
9.5.5. Transportation & Logistics
9.5.6. Government & Public Sector
9.5.7. Others (Education, etc.)
9.6. By Country (USD)
9.6.1. Turkey
9.6.1.1. By Industry
9.6.2. Israel
9.6.2.1. By Industry
9.6.3. GCC
9.6.3.1. By Industry
9.6.4. North Africa
9.6.4.1. By Industry
9.6.5. South Africa
9.6.5.1. By Industry
9.6.6. Rest of MEA
10. Asia Pacific Analytics as a Service Market Size Estimates and Forecasts, By Segments, 2017-2030
10.1. Key Findings
10.2. By Component (USD)
10.2.1. Solution
10.2.2. Services
10.3. By Analytics Type (USD)
10.3.1. Predictive
10.3.2. Diagnostic
10.3.3. Descriptive
10.3.4. Prescriptive
10.4. By Enterprise Type (USD)
10.4.1. Large Enterprises
10.4.2. Small & Medium Enterprises
10.5. By Industry (USD)
10.5.1. BFSI
10.5.2. IT & Telecommunications
10.5.3. Retail & Ecommerce
10.5.4. Manufacturing
10.5.5. Transportation & Logistics
10.5.6. Government & Public Sector
10.5.7. Others (Education, etc.)
10.6. By Country (USD)
10.6.1. China
10.6.1.1. By Industry
10.6.2. India
10.6.2.1. By Industry
10.6.3. Japan
10.6.3.1. By Industry
10.6.4. South Korea
10.6.4.1. By Industry
10.6.5. ASEAN
10.6.5.1. By Industry
10.6.6. Oceania
10.6.6.1. By Industry
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Microsoft Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. IBM Corporation
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. SAP SE
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Atos
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Google
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Msys Technologies
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Cloudera
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Thoughtspot
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Qlik
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Domo
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways

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