Cloud Platform BI Solution - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510245262

Publication Date:

October 21, 2024

Pages:

108

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Cloud Platform BI Solution is a data analysis and visualization solution based on cloud computing and business intelligence technology. The solution can store data in the cloud through cloud computing technology, process and analyze data through business intelligence technology, and finally display the data visually to users, so that users can better understand and analyze data and support decision-making.
The global market for Cloud Platform BI Solution was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Cloud Platform BI Solution was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Cloud Platform BI Solution was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Cloud Platform BI Solution was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Cloud Platform BI Solution include SAS, Domo, EXL, Clarion, Birst, Google Cloud, Instinctools, Stitch and Amazon Web Services, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Cloud Platform BI Solution, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Cloud Platform BI Solution by region & country, by Type, and by Application.
The Cloud Platform BI Solution market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Cloud Platform BI Solution.
Market Segmentation
By Company
SAS
Domo
EXL
Clarion
Birst
Google Cloud
Instinctools
Stitch
Amazon Web Services
Microsoft Azure
Adaptive Insights
BIME
GrayMatter
Matellio
Segment by Type:
Public Cloud
Private Cloud
Hybrid Cloud
Segment by Application
Large Enterprise
SME
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Cloud Platform BI Solution manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Cloud Platform BI Solution in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Cloud Platform BI Solution in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Cloud Platform BI Solution Product Introduction
1.2 Global Cloud Platform BI Solution Market Size Forecast
1.3 Cloud Platform BI Solution Market Trends & Drivers
1.3.1 Cloud Platform BI Solution Industry Trends
1.3.2 Cloud Platform BI Solution Market Drivers & Opportunity
1.3.3 Cloud Platform BI Solution Market Challenges
1.3.4 Cloud Platform BI Solution Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Cloud Platform BI Solution Players Revenue Ranking (2023)
2.2 Global Cloud Platform BI Solution Revenue by Company (2019-2024)
2.3 Key Companies Cloud Platform BI Solution Manufacturing Base Distribution and Headquarters
2.4 Key Companies Cloud Platform BI Solution Product Offered
2.5 Key Companies Time to Begin Mass Production of Cloud Platform BI Solution
2.6 Cloud Platform BI Solution Market Competitive Analysis
2.6.1 Cloud Platform BI Solution Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Cloud Platform BI Solution Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Cloud Platform BI Solution as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Public Cloud
3.1.2 Private Cloud
3.1.3 Hybrid Cloud
3.2 Global Cloud Platform BI Solution Sales Value by Type
3.2.1 Global Cloud Platform BI Solution Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Cloud Platform BI Solution Sales Value, by Type (2019-2030)
3.2.3 Global Cloud Platform BI Solution Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprise
4.1.2 SME
4.2 Global Cloud Platform BI Solution Sales Value by Application
4.2.1 Global Cloud Platform BI Solution Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Cloud Platform BI Solution Sales Value, by Application (2019-2030)
4.2.3 Global Cloud Platform BI Solution Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Cloud Platform BI Solution Sales Value by Region
5.1.1 Global Cloud Platform BI Solution Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Cloud Platform BI Solution Sales Value by Region (2019-2024)
5.1.3 Global Cloud Platform BI Solution Sales Value by Region (2025-2030)
5.1.4 Global Cloud Platform BI Solution Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Cloud Platform BI Solution Sales Value, 2019-2030
5.2.2 North America Cloud Platform BI Solution Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Cloud Platform BI Solution Sales Value, 2019-2030
5.3.2 Europe Cloud Platform BI Solution Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Cloud Platform BI Solution Sales Value, 2019-2030
5.4.2 Asia Pacific Cloud Platform BI Solution Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Cloud Platform BI Solution Sales Value, 2019-2030
5.5.2 South America Cloud Platform BI Solution Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Cloud Platform BI Solution Sales Value, 2019-2030
5.6.2 Middle East & Africa Cloud Platform BI Solution Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Cloud Platform BI Solution Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Cloud Platform BI Solution Sales Value
6.3 United States
6.3.1 United States Cloud Platform BI Solution Sales Value, 2019-2030
6.3.2 United States Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Cloud Platform BI Solution Sales Value, 2019-2030
6.4.2 Europe Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Cloud Platform BI Solution Sales Value, 2019-2030
6.5.2 China Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.5.3 China Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Cloud Platform BI Solution Sales Value, 2019-2030
6.6.2 Japan Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Cloud Platform BI Solution Sales Value, 2019-2030
6.7.2 South Korea Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Cloud Platform BI Solution Sales Value, 2019-2030
6.8.2 Southeast Asia Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Cloud Platform BI Solution Sales Value, 2019-2030
6.9.2 India Cloud Platform BI Solution Sales Value by Type (%), 2023 VS 2030
6.9.3 India Cloud Platform BI Solution Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 SAS
7.1.1 SAS Profile
7.1.2 SAS Main Business
7.1.3 SAS Cloud Platform BI Solution Products, Services and Solutions
7.1.4 SAS Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.1.5 SAS Recent Developments
7.2 Domo
7.2.1 Domo Profile
7.2.2 Domo Main Business
7.2.3 Domo Cloud Platform BI Solution Products, Services and Solutions
7.2.4 Domo Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.2.5 Domo Recent Developments
7.3 EXL
7.3.1 EXL Profile
7.3.2 EXL Main Business
7.3.3 EXL Cloud Platform BI Solution Products, Services and Solutions
7.3.4 EXL Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.3.5 Clarion Recent Developments
7.4 Clarion
7.4.1 Clarion Profile
7.4.2 Clarion Main Business
7.4.3 Clarion Cloud Platform BI Solution Products, Services and Solutions
7.4.4 Clarion Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.4.5 Clarion Recent Developments
7.5 Birst
7.5.1 Birst Profile
7.5.2 Birst Main Business
7.5.3 Birst Cloud Platform BI Solution Products, Services and Solutions
7.5.4 Birst Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.5.5 Birst Recent Developments
7.6 Google Cloud
7.6.1 Google Cloud Profile
7.6.2 Google Cloud Main Business
7.6.3 Google Cloud Cloud Platform BI Solution Products, Services and Solutions
7.6.4 Google Cloud Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.6.5 Google Cloud Recent Developments
7.7 Instinctools
7.7.1 Instinctools Profile
7.7.2 Instinctools Main Business
7.7.3 Instinctools Cloud Platform BI Solution Products, Services and Solutions
7.7.4 Instinctools Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.7.5 Instinctools Recent Developments
7.8 Stitch
7.8.1 Stitch Profile
7.8.2 Stitch Main Business
7.8.3 Stitch Cloud Platform BI Solution Products, Services and Solutions
7.8.4 Stitch Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.8.5 Stitch Recent Developments
7.9 Amazon Web Services
7.9.1 Amazon Web Services Profile
7.9.2 Amazon Web Services Main Business
7.9.3 Amazon Web Services Cloud Platform BI Solution Products, Services and Solutions
7.9.4 Amazon Web Services Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.9.5 Amazon Web Services Recent Developments
7.10 Microsoft Azure
7.10.1 Microsoft Azure Profile
7.10.2 Microsoft Azure Main Business
7.10.3 Microsoft Azure Cloud Platform BI Solution Products, Services and Solutions
7.10.4 Microsoft Azure Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.10.5 Microsoft Azure Recent Developments
7.11 Adaptive Insights
7.11.1 Adaptive Insights Profile
7.11.2 Adaptive Insights Main Business
7.11.3 Adaptive Insights Cloud Platform BI Solution Products, Services and Solutions
7.11.4 Adaptive Insights Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.11.5 Adaptive Insights Recent Developments
7.12 BIME
7.12.1 BIME Profile
7.12.2 BIME Main Business
7.12.3 BIME Cloud Platform BI Solution Products, Services and Solutions
7.12.4 BIME Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.12.5 BIME Recent Developments
7.13 GrayMatter
7.13.1 GrayMatter Profile
7.13.2 GrayMatter Main Business
7.13.3 GrayMatter Cloud Platform BI Solution Products, Services and Solutions
7.13.4 GrayMatter Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.13.5 GrayMatter Recent Developments
7.14 Matellio
7.14.1 Matellio Profile
7.14.2 Matellio Main Business
7.14.3 Matellio Cloud Platform BI Solution Products, Services and Solutions
7.14.4 Matellio Cloud Platform BI Solution Revenue (US$ Million) & (2019-2024)
7.14.5 Matellio Recent Developments
8 Industry Chain Analysis
8.1 Cloud Platform BI Solution Industrial Chain
8.2 Cloud Platform BI Solution Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Cloud Platform BI Solution Sales Model
8.5.2 Sales Channel
8.5.3 Cloud Platform BI Solution Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

SAS
Domo
EXL
Clarion
Birst
Google Cloud
Instinctools
Stitch
Amazon Web Services
Microsoft Azure
Adaptive Insights
BIME
GrayMatter
Matellio

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