The global predictive analytics market size is expected to hit around US$ 25.2 Bn by 2026 growing at a CAGR of around 20.8% over the forecast period 2019 to 2026.
Predictive analytics consists of techniques from data mining, machine learning, and predictive modeling to estimate and predict the current market trends, future opportunities, and market risks. Hence, the adoption of predictive analytics provides a competitive edge to the companies. The huge amount of data generated and collected from the consumer interactions by various means that needs to be analyzed and satisfactorily correlated for estimating market and analyzing consumer behavior. The technique used by multiple industries such as BFSI, healthcare, IT & telecommunication, media & entertainment, automotive & transportation, and aerospace & defense.
Market Dynamics
Growing awareness among companies about data and how that can be used for forecasting future risks and opportunities by using predictive analytics solutions is propelling the growth of the market across the world. Globalization, along with economic growth in various emerging countries, also plays a vital role in higher data generation. With the rise in data, companies are hiring teams of data analysts for the processing and analysis of collected data. Hence, the deployment of predictive analytics solutions for appropriate usage of extracted data is increasing rapidly.
Increasing usage of internet due to the availability of numerous means of accessing the internet has led to an immense increase in the volumes of data being generated. Furthermore, the growing penetration of integrated technologies has provided a platform to vendors of predictive analytics solutions for leveraging this unprecedented evolution of the internet. The high revenue-generating potential of these solutions is accelerating the adoption of these solutions. However, the lack of skilled professionals with sufficient knowledge of the functioning of predictive analytics may limit the growth of the market.
Solution Stance
Based on the solution, the market is divided into financial analytics, customer analytics, network analytics, marketing and sales analytics, supply chain analytics, risk analytics, web and social media analytics, and others. In 2018, risk analytics accounted for the largest share of the market. This can be attributed to the presence of solutions for a wide range of industries and greater adoption by these industries to identify upcoming risks and risk mitigation measures. However, the customer analytics segment is expected to observe the fastest growth in the coming years. Customer analytics are the solutions that are used by companies to understand customer behavior. This helps organizations to retain existing customers and attract new customers by focusing on their needs.
Enterprise Size Analysis
Based on enterprise size, the market is mainly divided into large enterprises and small & medium enterprises. In 2018, large enterprises accounted for the largest share of the market due to greater adoption of these enterprises. High purchasing ability and ability of predictive analytics to provide a competitive advantage to organizations and help them to enhance their overall performance are the key factors for the greater adoption by large enterprises. However, in the coming years small and medium size enterprises segment is projected to witness the fastest growth. These enterprises need predictive analytics solutions to enhance their operational performance and to reduce overall cost. Hence, the growing adoption of these solutions is anticipated to observe the fastest growth.
Deployment Mode Study
Based on the deployment mode, the global predictive analytics market is segmented into on-premise and cloud. In 2018, the on-premise segment dominated the global market. This can be attributed to higher penetration. However, the cloud segment observes the fastest growth during the forecast period. This can be attributed to the storage, security, and privacy concerns associated with cloud data. Based on the end-use, the global predictive analytics market is further divided into BFSI, healthcare, IT & telecommunication, media & entertainment, automotive & transportation, aerospace & defense, and others. The BFSI segment accounted for the largest share in 2018 and the retail & e-commerce segment is estimated to observe the fastest growth during the forecast period.
Geographical Analysis
Geographically, the global market has been segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America dominated the global predictive analytics market in 2018 and is expected to maintain its dominance during the forecast period. The U.S. held maximum share in the North America region. Dominance of this region is mainly attributed to the high adoption of advanced technology and greater penetration of predictive analytics in multiple industries such as government, BFSI, and e-commerce. Furthermore, the availability of funding for new entrants to develop predictive analytics solutions, increase the competition in the region. Asia Pacific is anticipated to observe the fastest growth during the forecast period. Increasing awareness about predictive solutions and their advantages lead to growth in the deployment of predictive analytics solutions and thereby the market size of the Asia Pacific region in the coming years. Furthermore, investment by service providers and the growing adoption of emerging technologies such as machine learning and artificial intelligence are also contributing to the growth of this region in the predictive analytics field
The market research study on “Predictive Analytics Market – Global Industry Analysis, Market Size, Opportunities and Forecast, 2019 – 2026”, offers a detailed insight on the global predictive analytics market entailing insights on its different market segments. Market dynamics with drivers, restraints, and opportunities with their impact are provided in the report. The report provides insights into the global predictive analytics market, its solution, its enterprise size, deployment mode, end-use, and major geographic regions. The report covers basic development policies and layouts of technology development processes. Secondly, the report covers global predictive analytics market size and segment markets by solution, enterprise size, deployment mode, end-use, and geography along with the information on companies operating in the market. The predictive analytics market analysis is provided for major regional markets including North America, Europe, Asia Pacific, Latin America and Middle East and Africa. For each region, the market sizes for different segments have been covered under the scope of the report.
Key players operating in the predictive analytics market are General Electric Company, IBM Corporation, Microsoft Corporation, NTT Data Corporation, Oracle Corporation, SAP ERP, SAS Institute, Inc., Schneider Electric SE, Siemens AG, and Tableau Software, Inc. These players are adopting various organic and inorganic growth strategies such as acquisition, partnerships, and product launches to enhance their market presence.
Market Segmentation
By Solution
- Financial Analytics
- Customer Analytics
- Network Analytics
- Marketing and Sales Analytics
- Supply Chain analytics
- Risk Analytics
- Web and Social Media Analytics
- Others
By Enterprise Size
By Deployment Mode
By End-Use
- BFSI
- Healthcare
- IT & Telecommunication
- Media & Entertainment
- Automotive & Transportation
- Aerospace & Defense
- Others
By Geography
North America
Europe
- UK
- Germany
- France
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Rest of Latin America
Middle East & Africa
- GCC
- South Africa
- Rest of Middle East & Africa
Table Of Content:
CHAPTER 1. INDUSTRY OVERVIEW
1.1. Definition and Scope
1.1.1. Definition of Predictive Analytics
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Predictive Analytics Market By Solution
1.2.2.1. Global Predictive Analytics Market Revenue and Growth Rate Comparison By Solution (2015-2026)
1.2.2.2. Global Predictive Analytics Market Revenue Share By Solution in 2018
1.2.2.3. Financial Analytics
1.2.2.4. Customer Analytics
1.2.2.5. Network Analytics
1.2.2.6. Marketing and Sales Analytics
1.2.2.7. Supply Chain analytics
1.2.2.8. Risk Analytics
1.2.2.9. Web and Social Media Analytics
1.2.2.10. Others
1.2.3. Predictive Analytics Market By Enterprise Size
1.2.3.1. Global Predictive Analytics Market Revenue and Growth Rate Comparison By Enterprise Size (2015-2026)
1.2.3.2. Large
1.2.3.3. Small & Medium
1.2.4. Predictive Analytics Market By Deployment Mode
1.2.4.1. Global Predictive Analytics Market Revenue and Growth Rate Comparison By Deployment Mode (2015-2026)
1.2.4.2. On-premise
1.2.4.3. Cloud
1.2.5. Predictive Analytics Market By End-use
1.2.5.1. Global Predictive Analytics Market Revenue and Growth Rate Comparison By End-user (2015-2026)
1.2.5.2. BFSI
1.2.5.3. Healthcare
1.2.5.4. IT & Telecommunication
1.2.5.5. Media & Entertainment
1.2.5.6. Automotive & Transportation
1.2.5.7. Aerospace & Defense
1.2.5.8. Others
1.2.6. Predictive Analytics Market By Geography
1.2.6.1. Global Predictive Analytics Market Revenue and Growth Rate Comparison by Geography (2015-2026)
1.2.6.2. North America Predictive Analytics Market Revenue and Growth Rate(2015-2026)
1.2.6.3. Europe Predictive Analytics Market Revenue and Growth Rate(2015-2026)
1.2.6.4. Asia-Pacific Predictive Analytics Market Revenue and Growth Rate(2015-2026)
1.2.6.5. Latin America Predictive Analytics Market Revenue and Growth Rate(2015-2026)
1.2.6.6. Middle East and Africa (MEA)Predictive Analytics Market Revenue and Growth Rate(2015-2026)
CHAPTER 2. MARKET DYNAMICSAND COMPETITION ANALYSIS
2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2018
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players
CHAPTER 3. MANUFACTURING PLANTS ANALYSIS
3.1. Capacity and Commercial Production Date of Global Predictive Analytics Major Manufacturers in 2018
3.2. Manufacturing Plants Distribution of Global Predictive Analytics Major Manufacturers in 2018
3.3. R&D Status and Technology Source of Global Predictive Analytics Major Manufacturers in 2018
3.4. Raw Materials Sources Analysis of Global Predictive Analytics Major Manufacturers in 2018
CHAPTER 4. PREDICTIVE ANALYTICS MARKET BY SOLUTION
4.1. Global Predictive Analytics Revenue By Solution
4.2. Financial Analytics
4.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.3. Customer Analytics
4.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.4. Network Analytics
4.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.5. Marketing and Sales Analytics
4.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.6. Supply Chain analytics
4.6.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.6.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.7. Risk Analytics
4.7.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.7.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.8. Web and Social Media Analytics
4.8.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.8.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.9. Others
4.9.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.9.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
CHAPTER 5. PREDICTIVE ANALYTICS MARKET BY ENTERPRISE SIZE
5.1. Global Predictive Analytics Revenue By Enterprise Size
5.2. Large
5.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.3. Small & Medium
5.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
CHAPTER 6. PREDICTIVE ANALYTICS MARKET BY DEPLOYMENT MODE
6.1. Global Predictive Analytics Revenue By Deployment Mode
6.2. On-premise
6.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
6.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
6.3. Cloud
6.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
6.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
CHAPTER 7. PREDICTIVE ANALYTICS MARKET By End-use
7.1. Global Predictive Analytics Revenue By End-use
7.2. BFSI
7.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
7.3. Healthcare
7.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
7.4. IT & Telecommunication
7.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
7.5. Media & Entertainment
7.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
7.6. Automotive & Transportation
7.6.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.6.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
7.7. Aerospace & Defense
7.7.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.7.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
7.8. Others
7.8.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.8.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
CHAPTER 8. NORTH AMERICA PREDICTIVE ANALYTICS MARKET BY COUNTRY
8.1. North America Predictive Analytics Market Revenue and Growth Rate, 2015 - 2026 ($Million)
8.2. North America Predictive Analytics Market Revenue Share Comparison, 2015 & 2026 (%)
8.3. U.S.
8.3.1. U.S. Predictive Analytics Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
8.3.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
8.3.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
8.3.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
8.4. Canada
8.4.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
8.4.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
8.4.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
8.4.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
CHAPTER 9. EUROPE PREDICTIVE ANALYTICS MARKET BY COUNTRY
9.1. Europe Predictive Analytics Market Revenue and Growth Rate, 2015 - 2026 ($Million)
9.2. Europe Predictive Analytics Market Revenue Share Comparison, 2015 & 2026 (%)
9.3. UK
9.3.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
9.3.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
9.3.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
9.3.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
9.4. Germany
9.4.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
9.4.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
9.4.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
9.4.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
9.5. France
9.5.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
9.5.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
9.5.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
9.5.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
9.6. Spain
9.6.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
9.6.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
9.6.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
9.6.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
9.7. Rest of Europe
9.7.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
9.7.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
9.7.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
9.7.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
CHAPTER 10. ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET BY COUNTRY
10.1. Asia-Pacific Predictive Analytics Market Revenue and Growth Rate, 2015 - 2026 ($Million)
10.2. Asia-Pacific Predictive Analytics Market Revenue Share Comparison, 2015 & 2026 (%)
10.3. China
10.3.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
10.3.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
10.3.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
10.3.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
10.4. Japan
10.4.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
10.4.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
10.4.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
10.4.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
10.5. India
10.5.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
10.5.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
10.5.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
10.5.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
10.6. Australia
10.6.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
10.6.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
10.6.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
10.6.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
10.7. South Korea
10.7.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
10.7.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
10.7.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
10.7.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
10.8. Rest of Asia-Pacific
10.8.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
10.8.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
10.8.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
10.8.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
CHAPTER 11. LATIN AMERICA PREDICTIVE ANALYTICS MARKET BY COUNTRY
11.1. Latin America Predictive Analytics Market Revenue and Growth Rate, 2015 - 2026 ($Million)
11.2. Latin America Predictive Analytics Market Revenue Share Comparison, 2015 & 2026 (%)
11.3. Brazil
11.3.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
11.3.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
11.3.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
11.3.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
11.4. Mexico
11.4.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
11.4.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
11.4.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
11.4.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
11.5. Rest of Latin America
11.5.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
11.5.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
11.5.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
11.5.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
CHAPTER 12. MIDDLE EAST & AFRICA PREDICTIVE ANALYTICS MARKET BY COUNTRY
12.1. Middle East & Africa Predictive Analytics Market Revenue and Growth Rate, 2015 - 2026 ($Million)
12.2. Middle East & Africa Predictive Analytics Market Revenue Share Comparison, 2015 & 2026 (%)
12.3. GCC
12.3.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
12.3.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
12.3.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
12.3.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
12.4. South Africa
12.4.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
12.4.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
12.4.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
12.4.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
12.5. Rest of Middle East & Africa
12.5.1. Market Revenue and Forecast By Solution, 2015 - 2026 ($Million)
12.5.2. Market Revenue and Forecast By Enterprise Size, 2015 - 2026 ($Million)
12.5.3. Market Revenue and Forecast By Deployment Mode, 2015 - 2026 ($Million)
12.5.4. Market Revenue and Forecast By End-use, 2015 - 2026 ($Million)
CHAPTER 13. COMPANY PROFILE
13.1. General Electric Company
13.1.1. Company Snapshot
13.1.2. Overview
13.1.3. Financial Overview
13.1.4. Type Portfolio
13.1.5. Key Developments
13.1.6. Strategies
13.2. IBM Corporation
13.2.1. Company Snapshot
13.2.2. Overview
13.2.3. Financial Overview
13.2.4. Type Portfolio
13.2.5. Key Developments
13.2.6. Strategies
13.3. Microsoft Corporation
13.3.1. Company Snapshot
13.3.2. Overview
13.3.3. Financial Overview
13.3.4. Type Portfolio
13.3.5. Key Developments
13.3.6. Strategies
13.4. NTT Data Corporation
13.4.1. Company Snapshot
13.4.2. Overview
13.4.3. Financial Overview
13.4.4. Type Portfolio
13.4.5. Key Developments
13.4.6. Strategies
13.5. Oracle Corporation
13.5.1. Company Snapshot
13.5.2. Overview
13.5.3. Financial Overview
13.5.4. Type Portfolio
13.5.5. Key Developments
13.5.6. Strategies
13.6. SAP ERP
13.6.1. Company Snapshot
13.6.2. Overview
13.6.3. Financial Overview
13.6.4. Type Portfolio
13.6.5. Key Developments
13.6.6. Strategies
13.7. SAS Institute, Inc.
13.7.1. Company Snapshot
13.7.2. Overview
13.7.3. Financial Overview
13.7.4. Type Portfolio
13.7.5. Key Developments
13.7.6. Strategies
13.8. Schneider Electric SE
13.8.1. Company Snapshot
13.8.2. Overview
13.8.3. Financial Overview
13.8.4. Type Portfolio
13.8.5. Key Developments
13.8.6. Strategies
13.9. Siemens AG
13.9.1. Company Snapshot
13.9.2. Overview
13.9.3. Financial Overview
13.9.4. Type Portfolio
13.9.5. Key Developments
13.9.6. Strategies
13.10. Tableau Software, Inc.
13.10.1. Company Snapshot
13.10.2. Overview
13.10.3. Financial Overview
13.10.4. Type Portfolio
13.10.5. Key Developments
13.10.6. Strategies
13.11. Others
13.11.1. Company Snapshot
13.11.2. Overview
13.11.3. Financial Overview
13.11.4. Type Portfolio
13.11.5. Key Developments
13.11.6. Strategies
CHAPTER 14. RESEARCH APPROACH
14.1. Research Methodology
14.1.1. Initial Data Search
14.1.2. Secondary Research
14.1.3. Primary Research
14.2. Assumptions and Scope
