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Marketing attribution is used by companies to find out how actions, events, or touch points contribute to the success of marketing and sales activities during prospecting and sales processes. In simple words, assigning credits or value to the marketing channel or touch point responsible for the conversion is marketing attribution. Enterprises use marketing attribution tools to pinpoint the touch point and output of the specific touch point on the sales method. The demand for marketing attribution software is increasing as marketers adopt more data-driven methods for their marketing activities.
The global Marketing Attribution Software market revenue is projected to reach close to USD 9,724.6 Million by 2028. This can be due to the increasing need to maximize marketing spending and the efficient monitoring of consumer actions for tailored marketing activities.
However, the data privacy and protection of personal data grave to marketing attribution software adoption is likely to hamper the market growth. Furthermore, the growing adoption of AI and big data analytics in marketing activities is anticipated to be an opportunity for the marketing attribution software market.
Key Segments of the Global Marketing Attribution Software Market
Component Overview, 2018-2028 (USD Million)
Attribution Type Overview, 2018-2028 (USD Million)
Deployment Type Overview, 2018-2028 (USD Million)
Enterprise Size Overview, 2018-2028 (USD Million)
Industry Vertical Overview, 2018-2028 (USD Million)
Regional Overview, 2018-2028 (USD Million)
North America
Europe
Asia Pacific
Middle East and Africa
South America
Reasons for the study
What does the report include?
Who should buy this report?
Technological transformations have given rise to a modern mode of marketing, owing to changing customer patterns, such as social and mobile technology. Furthermore, the increasing trend of personalized marketing and the proliferation of mobile devices and channels have complicated the marketer's strategy toward enhanced user experience. To address these issues, companies are deploying a variety of marketing strategies across multiple channels. These complex activities are responsible for increased marketing spending by enterprises. Enterprises leverage marketing allocation software and services to optimize their marketing spending and calculate the Return on Marketing Investment (ROMI). Marketing assignment software also offers details about the most effective marketing platform or touch point. Marketing assignment provides a range of opportunities to companies, such as channel and campaign success assessment, data-driven decision-making, and marketing spending management. Irrespective of such incentives, the majority of the advertisers still use the conventional method of measuring ROMI.
Attribution Type Segment
In terms of attribution, the market is bifurcated into single-source attribution, multi-source attribution, probabilistic or algorithmic attribution. In the year 2019, the multi-source attribution segment holds the largest market share. Each medium involved in the final lead conversion is given credit via multi-source attribution. It records the entire customer experience and attributes credit to different touch points, including all channels, such as webinar advertising, Facebook posts, and eNewsletters. The individual contribution of various networks is not calculated by this attribution type and is difficult to enforce. Six different models, namely, linear, time decay, U-shaped, W-shaped, full path, and custom models, and have multi-source attribution.
Deployment Segment
Based on the deployment segment, the market is segmented into on-premises and Cloud. The on-premise segment leads the market growth in 2019 and it is anticipated to hold its position during the forecast years. Data security issues by end-users lead to a more global acceptance of on-premises marketing attribution solutions. The on-premises marketing attribution program is primarily used for big estates since they are more able to spend. On the contrary, the cloud segment is projected to accumulate major growth in forthcoming years.
Enterprise Size Segment
Based on the enterprise size, the market is segmented into small & medium, and large enterprises. The large enterprise segment leads the market growth in 2019 and it is anticipated to hold its position during the forecast years. The market growth of this segment is mainly attributed to the Growing use of automated systems in major organizations due to their diverse and large number of field service activities. On the contrary, the small & medium enterprise segment is projected to accumulate major growth in forthcoming years.
Industry Vertical Segment
In terms of the industry vertical segment, the market is segmented into retail, FMCG and consumer packaged goods, computing products and consumer electronics, telecom and it, banking, financial services, and insurance, media and entertainment, healthcare, travel and hospitality, and others. In 2019 the telecom and IT vertical segment accumulated the major market share and it is expected to do so over the forecast years. The growth of the telecom and IT vertical in the marketing attribution software industry is said to have been fueled by the rise in the number of internet and mobile devices.
The North American region dominated the overall market in 2019 and it is projected to keep its position during the forecast years 2018-2028. However, the Asia-Pacific region is anticipated to gather the highest growth over the forecast years. The market growth in this region is mostly ascribed to the growing demand from businesses in the area for consistent data-driven marketing solutions. Besides, in different areas, the growing number of government regulations and enforcement is also boosting the market growth in this region.
The major players of the global Marketing Attribution Software market are Adobe, Google, SAP, Visual IQ, Oracle, Rockerbox, Neustar, Engagio, LeadsRx, and LeanData. Moreover, the market comprises several other prominent players in the market that Singular, Marketing Attribution, Attribution, and CaliberMind. The Marketing Attribution Software market consists of well-established global as well as local players. Besides, the previously recognized market players are coming up with new and advanced strategic solutions and services to stay competitive in the global market.
Marketing attribution is used by companies to find out how actions, events, or touch points contribute to the success of marketing and sales activities during prospecting and sales processes. In simple words, assigning credits or value to the marketing channel or touch point responsible for the conversion is marketing attribution. Enterprises use marketing attribution tools to pinpoint the touch point and output of the specific touch point on the sales method. The demand for marketing attribution software is increasing as marketers adopt more data-driven methods for their marketing activities.
The global Marketing Attribution Software market revenue is projected to reach close to USD 9,724.6 Million by 2028. This can be due to the increasing need to maximize marketing spending and the efficient monitoring of consumer actions for tailored marketing activities.
However, the data privacy and protection of personal data grave to marketing attribution software adoption is likely to hamper the market growth. Furthermore, the growing adoption of AI and big data analytics in marketing activities is anticipated to be an opportunity for the marketing attribution software market.
Key Segments of the Global Marketing Attribution Software Market
Component Overview, 2018-2028 (USD Million)
Attribution Type Overview, 2018-2028 (USD Million)
Deployment Type Overview, 2018-2028 (USD Million)
Enterprise Size Overview, 2018-2028 (USD Million)
Industry Vertical Overview, 2018-2028 (USD Million)
Regional Overview, 2018-2028 (USD Million)
North America
Europe
Asia Pacific
Middle East and Africa
South America
Reasons for the study
What does the report include?
Who should buy this report?
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions, and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.1.1 Rising need to optimize the marketing spend
4.3.1.2 Effective tracking of customer behavior for targeted marketing activities
4.3.2 Restraints
4.3.2.1 Data privacy and protection of personal data critical to marketing attribution software adoption
4.3.2.2 Opportunities
4.3.3.1 Growing adoption of AI and big data analytics in marketing activities
4.4 Porter’s Five Forces Analysis
4.5 PEST Analysis
4.6. Regulatory Landscape
4.7 COVID-19 Impact Analysis
Chapter 5 Marketing Attribution Software Market by Component
5.1 Introduction
5.1.1 Solutions
5.1.2 Services
Chapter 6 Marketing Attribution Software Market by Attribution Type
6.1 Introduction
6.1.1 Single-Source Attribution
6.1.2 Multi-Source Attribution
6.1.3 Probabilistic or Algorithmic Attribution
Chapter 7 Marketing Attribution Software Market by Deployment
7.1 Introduction
7.1.1 On-Premises
7.1.2 Cloud
Chapter 8 Marketing Attribution Software Market by Enterprise Size
8.1 Introduction
8.1.1 Small and Medium-Sized Enterprises
8.1.2 Large Enterprises
Chapter 9 Marketing Attribution Software Market by Industry Vertical
9.1 Introduction
9.1.1 Retail
9.1.2 FMCG and Consumer Packaged Goods
9.1.3 Computing Products and Consumer Electronics
9.1.4 Telecom and IT
9.1.5 Banking, Financial Services, and Insurance
9.1.6 Media and Entertainment
9.1.7 Healthcare
9.1.8 Others
Chapter 10 Marketing Attribution Software Market By Region
10.1 Introduction
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 Germany
10.3.2 France
10.3.3 UK
10.3.4 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.2 Japan
10.4.3 India
10.4.4 Rest of Asia Pacific
10.5 Middle East & Africa
10.5.1 UAE
10.5.2 South Africa
10.5.3 Rest of Middle East & Africa
10.6 South America
10.6.1 Brazil
10.6.2 Rest of South America
Chapter 11 Competitive Landscape
11.1 Overview
11.2 Strategic Initiatives
11.2.1 Mergers & Acquisitions
11.2.2 New Product Launch
11.2.3 Investments
11.2.4 Expansion
11.2.5 Customer Targeting
Chapter 12 Company Profiles
12.1 Adobe
12.1.1 Overview
12.1.2 Products and Services Portfolio
12.1.3 Recent Initiatives
12.1.4 Company Financials
12.1.5 SWOT
12.2 Google
12.2.1 Overview
12.2.2 Products and Services Portfolio
12.2.3 Recent Initiatives
12.2.4 Company Financials
12.2.5 SWOT
12.3 SAP
12.3.1 Overview
12.3.2 Products and Services Portfolio
12.3.3 Recent Initiatives
12.3.4 Company Financials
12.3.5 SWOT
12.4 Visual IQ
12.4.1 Overview
12.4.2 Products and Services Portfolio
12.4.3 Recent Initiatives
12.4.4 Company Financials
12.4.5 SWOT
12.5 Oracle
12.5.1 Overview
12.5.2 Products and Services Portfolio
12.5.3 Recent Initiatives
12.5.4 Company Financials
12.5.5 SWOT
12.6 Rockerbox
12.6.1 Overview
12.6.2 Products and Services Portfolio
12.6.3 Recent Initiatives
12.6.4 Company Financials
12.6.5 SWOT
12.7 Neustar
12.7.1 Overview
12.7.2 Products and Services Portfolio
12.7.3 Recent Initiatives
12.7.4 Company Financials
12.7.5 SWOT
12.8 Engagio
12.8.1 Overview
12.8.2 Products and Services Portfolio
12.8.3 Recent Initiatives
12.8.4 Company Financials
12.8.5 SWOT
12.9 Engagio
12.9.1 Overview
12.9.2 Products and Services Portfolio
12.9.3 Recent Initiatives
12.9.4 Company Financials
12.9.5 SWOT
12.10 LeadsRx
12.10.1 Overview
12.10.2 Products and Services Portfolio
12.10.3 Recent Initiatives
12.10.4 Company Financials
12.10.5 SWOT
12.11 Other Companies