Pay-per-click (PPC) Software Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of pay-per-click software market
The pay-per-click software market size was valued at USD 12.58 billion in 2019. The market is projected to grow from USD 28.62 billion in 2027, exhibiting a CAGR of 11.2% during the forecast period of 2024-2032.
The COVID-19 pandemic negatively impacted the pay-per-click on (PPC) software program market as businesses confronted decreased marketing budgets amid financial uncertainty. Many industries, specifically travel, hospitality, and retail, experienced great declines in sales, prompting a decrease in digital advertising and marketing fees. Small and medium-sized establishments (SMEs), key users of PPC software program, struggled with financial constraints, further lowering call for. Additionally, disruptions in enterprise operations and shifting purchaser priorities brought about a decline in on-line marketing campaigns. While positive sectors, like e-commerce, noticed boom, the overall market faced demanding situations in keeping pre-pandemic tiers of software program adoption and utilization, slowing marketplace growth during the length.
A trend within the pay-in keeping with-click (PPC) software marketplace is the increasing adoption of synthetic intelligence (AI) and device studying (ML) technology. These advancements enable automated bid management, target audience focused on, and actual-time optimization of advert campaigns, enhancing performance and go back on funding (ROI). AI-powered functions including predictive analytics and personalized advert shipping help agencies create greater effective campaigns tailor-made to person conduct. Additionally, the mixing of voice search optimization and guide for multi-channel advertising campaigns, inclusive of social media and cell systems, reflects the market’s evolution closer to smarter, greater efficient solutions to meet the dynamic desires of advertisers.
A foremost driving issue for the pay-in line with-click on (PPC) software marketplace is the growing shift in the direction of digital advertising and online advertising. As corporations an increasing number of understand the significance of a sturdy online presence, they are allocating greater resources to PPC campaigns to pressure site visitors, increase conversions, and increase income. With the upward push of e-trade and mobile utilization, PPC advertising offers an immediate and measurable way to reach target audiences. Additionally, the increasing effectiveness of PPC systems in imparting designated analytics and ROI insights encourages organizations of all sizes to spend money on PPC software program, in addition driving marketplace boom within the digital advertising panorama.
Comprehensive Analysis of Pay-Per-Click Software Market
The pay-per-click software market growth is rising at an exponential rate due to its marketplace segmentation. This market expansion correctly affords a detailed local assessments thinking about the dominant supply and call for forces that effect the enterprise. These segmentations are methodically segregated by type include search advertising, social media advertising, remarketing, online shopping, display advertising, and others, By deployment include, cloud, on-premises, by enterprise size include small & medium enterprise (SMEs), large enterprises, by end-user include BFSI, retail & ecommerce, automotive, healthcare, media and entertainment, IT & telecom, and others
The North America location lead the pay-per-click software market share percentage via benefitting a marketplace size of USD 5.13 billion due to the advent of advanced technologies and the presence of major key players.
The top players in the market play a crucial role in the industry assuring market growth and setting market standards. These players include Alphabet Inc., Microsoft Corporation, Facebook, Inc., WordStream, Optmyzr.
July 2018: Google LLC rebranded Google AdWords to ""Google Ads"" to offer a extra complete suite of marketing answers. This trade displays the platform’s increased talents, permitting customers to create campaigns across various codecs, including search, video, and display, enhancing accessibility and flexibility for corporations targeting a much broader target market.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2016 – 2027
Base Year 2019
Forecast Period 2020 – 2027
Historical Period 2016 – 2018
Unit Value (USD billion)
Segmentation By Type
Search Advertising
Social Media Advertising
Remarketing
Display Advertising
Online Shopping
Others (Programmatic, Native, etc.)
By Deployment
Cloud
On-premises
By Enterprises Size
Small and Medium Enterprises (SMEs)
Large Enterprises
By End-user
BFSI
Retail & eCommerce
Automotive
Healthcare
Media and Entertainment
IT & telecom
Others (Education, etc.)
By Region
North America (By Type, By Deployment, By Enterprises Size, By End-user and By Country)
U.S. (By Type)
Canada (By Type)
Mexico (By Type)
Europe(By Type, By Deployment, By Enterprises Size, By End-user and By Country)
UK (By Type)
Germany (By Type)
France (By Type)
Italy (By Type)
Spain (By Type)
Russia (By Type)
Benelux (By Type)
Nordics (By Type)
Asia Pacific (By Type, By Deployment, By Enterprises Size, By End-user and By Country)
China (By Type)
India (By Type)
Japan (By Type)
South Korea (By Type)
ASEAN (By Type)
Oceania (By Type)
Middle East & Africa (By Type, By Deployment, By Enterprises Size, By End-user and By Country)
Turkey (By Type)
Israel (By Type)
GCC (By Type)
North Africa (By Type)
South Africa (By Type)
South America (By Type, By Deployment, By Enterprises Size, By End-user and By Country)
Brazil (By Type)
Argentina (By Type)
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Key Takeaways
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 3.3. Impact of COVID-19
- 3.3.1. Short-term Impact
- 3.3.2. Long-term Impact
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. PESTLE Analysis
- 4.4. Porter’s Five Force Analysis
- 4.5. Supply chain Analysis
- 5. Global Pay-Per-Click Software Key Players Market Share Insights and Analysis, 2019
- 6. Key Market Insights and Strategic Recommendations
- 7. Primary Interviewee’s Key Responses
- 8. Companies Profiled (Covered for key 10 players only)
- 8.1. Overview
- 8.1.1. Key Management
- 8.1.2. Headquarters etc.
- 8.2. Offerings/Business Segments
- 8.3. Key Details (Key details are subjected to data availability in public domain and/or on paid databases)
- 8.3.1. Employee Size
- 8.3.2. Key Financials
- 8.3.2.1. Past and Current Revenue
- 8.3.2.2. Gross Margin
- 8.3.2.3. Geographical Share
- 8.3.2.4. Business Segment Share
- 8.4. Recent Developments
- 9. Annexure/Appendix
- 9.1. Global Pay-Per-Click Software Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.1.1. By Type (Value)
- 9.1.1.1. Search Advertising
- 9.1.1.2. Social Media Advertising
- 9.1.1.3. Remarketing
- 9.1.1.4. Display Advertising
- 9.1.1.5. Online Shopping
- 9.1.1.6. Others (Programmatic, Native, etc.)
- 9.1.2. By Deployment (Value)
- 9.1.2.1. Cloud
- 9.1.2.2. On-premises
- 9.1.3. By Enterprise Size (Value)
- 9.1.3.1. Small and Medium Enterprises (SMEs)
- 9.1.3.2. Large Enterprises
- 9.1.4. By End-user (Value)
- 9.1.4.1. BFSI
- 9.1.4.2. Retail & eCommerce
- 9.1.4.3. Automotive
- 9.1.4.4. Healthcare
- 9.1.4.5. Media and Entertainment
- 9.1.4.6. IT & telecom
- 9.1.4.7. Others (Education, etc.)
- 9.1.5. By Region (Value)
- 9.1.5.1. North America
- 9.1.5.2. Europe
- 9.1.5.3. Asia Pacific
- 9.1.5.4. Middle East & Africa
- 9.1.5.5. South America
- 9.2. North America Pay-Per-Click Software Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.2.1. By Type (Value)
- 9.2.1.1. Search Advertising
- 9.2.1.2. Social Media Advertising
- 9.2.1.3. Remarketing
- 9.2.1.4. Display Advertising
- 9.2.1.5. Online Shopping
- 9.2.1.6. Others (Programmatic, Native, etc.)
- 9.2.2. By Deployment (Value)
- 9.2.2.1. Cloud
- 9.2.2.2. On-premises
- 9.2.3. By Enterprise Size (Value)
- 9.2.3.1. Small and Medium Enterprises (SMEs)
- 9.2.3.2. Large Enterprises
- 9.2.4. By End-user (Value)
- 9.2.4.1. BFSI
- 9.2.4.2. Retail & eCommerce
- 9.2.4.3. Automotive
- 9.2.4.4. Healthcare
- 9.2.4.5. Media and Entertainment
- 9.2.4.6. IT & telecom
- 9.2.4.7. Others (Education, etc.)
- 9.2.5. By Country (Value)
- 9.2.5.1. US
- 9.2.5.1.1. By Type (Value)
- 9.2.5.1.1.1. Search Advertising
- 9.2.5.1.1.2. Social Media Advertising
- 9.2.5.1.1.3. Remarketing
- 9.2.5.1.1.4. Display Advertising
- 9.2.5.1.1.5. Online Shopping
- 9.2.5.1.1.6. Others (Programmatic, Native, etc.)
- 9.2.5.2. Canada
- 9.2.5.2.1. By Type (Value)
- 9.2.5.2.1.1. Search Advertising
- 9.2.5.2.1.2. Social Media Advertising
- 9.2.5.2.1.3. Remarketing
- 9.2.5.2.1.4. Display Advertising
- 9.2.5.2.1.5. Online Shopping
- 9.2.5.2.1.6. Others (Programmatic, Native, etc.)
- 9.2.5.3. Mexico
- 9.2.5.3.1. By Type (Value)
- 9.2.5.3.1.1. Search Advertising
- 9.2.5.3.1.2. Social Media Advertising
- 9.2.5.3.1.3. Remarketing
- 9.2.5.3.1.4. Display Advertising
- 9.2.5.3.1.5. Online Shopping
- 9.2.5.3.1.6. Others (Programmatic, Native, etc.)
- 9.3. Europe Pay-Per-Click Software Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.3.1. By Type (Value)
- 9.3.1.1. Search Advertising
- 9.3.1.2. Social Media Advertising
- 9.3.1.3. Remarketing
- 9.3.1.4. Display Advertising
- 9.3.1.5. Online Shopping
- 9.3.1.6. Others (Programmatic, Native, etc.)
- 9.3.2. By Deployment (Value)
- 9.3.2.1. Cloud
- 9.3.2.2. On-premises
- 9.3.3. By Enterprise Size (Value)
- 9.3.3.1. Small and Medium Enterprises (SMEs)
- 9.3.3.2. Large Enterprises
- 9.3.4. By End-user (Value)
- 9.3.4.1. BFSI
- 9.3.4.2. Retail & eCommerce
- 9.3.4.3. Automotive
- 9.3.4.4. Healthcare
- 9.3.4.5. Media and Entertainment
- 9.3.4.6. IT & telecom
- 9.3.4.7. Others (Education, etc.)
- 9.3.5. By Country (Value)
- 9.3.5.1. United Kingdom
- 9.3.5.1.1. By Type (Value)
- 9.3.5.1.1.1. Search Advertising
- 9.3.5.1.1.2. Social Media Advertising
- 9.3.5.1.1.3. Remarketing
- 9.3.5.1.1.4. Display Advertising
- 9.3.5.1.1.5. Online Shopping
- 9.3.5.1.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.2. Germany
- 9.3.5.2.1. By Type (Value)
- 9.3.5.2.1.1. Search Advertising
- 9.3.5.2.1.2. Social Media Advertising
- 9.3.5.2.1.3. Remarketing
- 9.3.5.2.1.4. Display Advertising
- 9.3.5.2.1.5. Online Shopping
- 9.3.5.2.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.3. France
- 9.3.5.3.1. By Type (Value)
- 9.3.5.3.1.1. Search Advertising
- 9.3.5.3.1.2. Social Media Advertising
- 9.3.5.3.1.3. Remarketing
- 9.3.5.3.1.4. Display Advertising
- 9.3.5.3.1.5. Online Shopping
- 9.3.5.3.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.4. Italy
- 9.3.5.4.1. By Type (Value)
- 9.3.5.4.1.1. Search Advertising
- 9.3.5.4.1.2. Social Media Advertising
- 9.3.5.4.1.3. Remarketing
- 9.3.5.4.1.4. Display Advertising
- 9.3.5.4.1.5. Online Shopping
- 9.3.5.4.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.5. Spain
- 9.3.5.5.1. By Type (Value)
- 9.3.5.5.1.1. Search Advertising
- 9.3.5.5.1.2. Social Media Advertising
- 9.3.5.5.1.3. Remarketing
- 9.3.5.5.1.4. Display Advertising
- 9.3.5.5.1.5. Online Shopping
- 9.3.5.5.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.6. Russia
- 9.3.5.6.1. By Type (Value)
- 9.3.5.6.1.1. Search Advertising
- 9.3.5.6.1.2. Social Media Advertising
- 9.3.5.6.1.3. Remarketing
- 9.3.5.6.1.4. Display Advertising
- 9.3.5.6.1.5. Online Shopping
- 9.3.5.6.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.7. Benelux
- 9.3.5.7.1. By Type (Value)
- 9.3.5.7.1.1. Search Advertising
- 9.3.5.7.1.2. Social Media Advertising
- 9.3.5.7.1.3. Remarketing
- 9.3.5.7.1.4. Display Advertising
- 9.3.5.7.1.5. Online Shopping
- 9.3.5.7.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.8. Nordics
- 9.3.5.8.1. By Type (Value)
- 9.3.5.8.1.1. Search Advertising
- 9.3.5.8.1.2. Social Media Advertising
- 9.3.5.8.1.3. Remarketing
- 9.3.5.8.1.4. Display Advertising
- 9.3.5.8.1.5. Online Shopping
- 9.3.5.8.1.6. Others (Programmatic, Native, etc.)
- 9.3.5.9. Rest of Europe
- 9.4. Asia Pacific Pay-Per-Click Software Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.4.1. By Type (Value)
- 9.4.1.1. Search Advertising
- 9.4.1.2. Social Media Advertising
- 9.4.1.3. Remarketing
- 9.4.1.4. Display Advertising
- 9.4.1.5. Online Shopping
- 9.4.1.6. Others (Programmatic, Native, etc.)
- 9.4.2. By Deployment (Value)
- 9.4.2.1. Cloud
- 9.4.2.2. On-premises
- 9.4.3. By Enterprise Size (Value)
- 9.4.3.1. Small and Medium Enterprises (SMEs)
- 9.4.3.2. Large Enterprises
- 9.4.4. By End-user (Value)
- 9.4.4.1. BFSI
- 9.4.4.2. Retail & eCommerce
- 9.4.4.3. Automotive
- 9.4.4.4. Healthcare
- 9.4.4.5. Media and Entertainment
- 9.4.4.6. IT & telecom
- 9.4.4.7. Others (Education, etc.)
- 9.4.5. By Country (Value)
- 9.4.5.1. China
- 9.4.5.1.1. By Type (Value)
- 9.4.5.1.1.1. Search Advertising
- 9.4.5.1.1.2. Social Media Advertising
- 9.4.5.1.1.3. Remarketing
- 9.4.5.1.1.4. Display Advertising
- 9.4.5.1.1.5. Online Shopping
- 9.4.5.1.1.6. Others (Programmatic, Native, etc.)
- 9.4.5.2. India
- 9.4.5.2.1. By Type (Value)
- 9.4.5.2.1.1. Search Advertising
- 9.4.5.2.1.2. Social Media Advertising
- 9.4.5.2.1.3. Remarketing
- 9.4.5.2.1.4. Display Advertising
- 9.4.5.2.1.5. Online Shopping
- 9.4.5.2.1.6. Others (Programmatic, Native, etc.)
- 9.4.5.3. Japan
- 9.4.5.3.1. By Type (Value)
- 9.4.5.3.1.1. Search Advertising
- 9.4.5.3.1.2. Social Media Advertising
- 9.4.5.3.1.3. Remarketing
- 9.4.5.3.1.4. Display Advertising
- 9.4.5.3.1.5. Online Shopping
- 9.4.5.3.1.6. Others (Programmatic, Native, etc.)
- 9.4.5.4. South Korea
- 9.4.5.4.1. By Type (Value)
- 9.4.5.4.1.1. Search Advertising
- 9.4.5.4.1.2. Social Media Advertising
- 9.4.5.4.1.3. Remarketing
- 9.4.5.4.1.4. Display Advertising
- 9.4.5.4.1.5. Online Shopping
- 9.4.5.4.1.6. Others (Programmatic, Native, etc.)
- 9.4.5.5. ASEAN
- 9.4.5.5.1. By Type (Value)
- 9.4.5.5.1.1. Search Advertising
- 9.4.5.5.1.2. Social Media Advertising
- 9.4.5.5.1.3. Remarketing
- 9.4.5.5.1.4. Display Advertising
- 9.4.5.5.1.5. Online Shopping
- 9.4.5.5.1.6. Others (Programmatic, Native, etc.)
- 9.4.5.6. Oceania
- 9.4.5.6.1. By Type (Value)
- 9.4.5.6.1.1. Search Advertising
- 9.4.5.6.1.2. Social Media Advertising
- 9.4.5.6.1.3. Remarketing
- 9.4.5.6.1.4. Display Advertising
- 9.4.5.6.1.5. Online Shopping
- 9.4.5.6.1.6. Others (Programmatic, Native, etc.)
- 9.4.5.7. Rest of Asia Pacific
- 9.5. Middle East & Africa Pay-Per-Click Software Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.5.1. By Type (Value)
- 9.5.1.1. Search Advertising
- 9.5.1.2. Social Media Advertising
- 9.5.1.3. Remarketing
- 9.5.1.4. Display Advertising
- 9.5.1.5. Online Shopping
- 9.5.1.6. Others (Programmatic, Native, etc.)
- 9.5.2. By Deployment (Value)
- 9.5.2.1. Cloud
- 9.5.2.2. On-premises
- 9.5.3. By Enterprise Size (Value)
- 9.5.3.1. Small and Medium Enterprises (SMEs)
- 9.5.3.2. Large Enterprises
- 9.5.4. By End-user (Value)
- 9.5.4.1. BFSI
- 9.5.4.2. Retail & eCommerce
- 9.5.4.3. Automotive
- 9.5.4.4. Healthcare
- 9.5.4.5. Media and Entertainment
- 9.5.4.6. IT & telecom
- 9.5.4.7. Others (Education, etc.)
- 9.5.5. By Country (Value)
- 9.5.5.1. Turkey
- 9.5.5.1.1. By Type (Value)
- 9.5.5.1.1.1. Search Advertising
- 9.5.5.1.1.2. Social Media Advertising
- 9.5.5.1.1.3. Remarketing
- 9.5.5.1.1.4. Display Advertising
- 9.5.5.1.1.5. Online Shopping
- 9.5.5.1.1.6. Others (Programmatic, Native, etc.)
- 9.5.5.2. Israel
- 9.5.5.2.1. By Type (Value)
- 9.5.5.2.1.1. Search Advertising
- 9.5.5.2.1.2. Social Media Advertising
- 9.5.5.2.1.3. Remarketing
- 9.5.5.2.1.4. Display Advertising
- 9.5.5.2.1.5. Online Shopping
- 9.5.5.2.1.6. Others (Programmatic, Native, etc.)
- 9.5.5.3. GCC
- 9.5.5.3.1. By Type (Value)
- 9.5.5.3.1.1. Search Advertising
- 9.5.5.3.1.2. Social Media Advertising
- 9.5.5.3.1.3. Remarketing
- 9.5.5.3.1.4. Display Advertising
- 9.5.5.3.1.5. Online Shopping
- 9.5.5.3.1.6. Others (Programmatic, Native, etc.)
- 9.5.5.4. North Africa
- 9.5.5.4.1. By Type (Value)
- 9.5.5.4.1.1. Search Advertising
- 9.5.5.4.1.2. Social Media Advertising
- 9.5.5.4.1.3. Remarketing
- 9.5.5.4.1.4. Display Advertising
- 9.5.5.4.1.5. Online Shopping
- 9.5.5.4.1.6. Others (Programmatic, Native, etc.)
- 9.5.5.5. South Africa
- 9.5.5.5.1. By Type (Value)
- 9.5.5.5.1.1. Search Advertising
- 9.5.5.5.1.2. Social Media Advertising
- 9.5.5.5.1.3. Remarketing
- 9.5.5.5.1.4. Display Advertising
- 9.5.5.5.1.5. Online Shopping
- 9.5.5.5.1.6. Others (Programmatic, Native, etc.)
- 9.5.5.6. Rest of Middle East & Africa
- 9.6. South America Pay-Per-Click Software Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.6.1. By Type (Value)
- 9.6.1.1. Search Advertising
- 9.6.1.2. Social Media Advertising
- 9.6.1.3. Remarketing
- 9.6.1.4. Display Advertising
- 9.6.1.5. Online Shopping
- 9.6.1.6. Others (Programmatic, Native, etc.)
- 9.6.2. By Deployment (Value)
- 9.6.2.1. Cloud
- 9.6.2.2. On-premises
- 9.6.3. By Enterprise Size (Value)
- 9.6.3.1. Small and Medium Enterprises (SMEs)
- 9.6.3.2. Large Enterprises
- 9.6.4. By End-user (Value)
- 9.6.4.1. BFSI
- 9.6.4.2. Retail & eCommerce
- 9.6.4.3. Automotive
- 9.6.4.4. Healthcare
- 9.6.4.5. Media and Entertainment
- 9.6.4.6. IT & telecom
- 9.6.4.7. Others (Education, etc.)
- 9.6.5. By Country (Value)
- 9.6.6. Brazil
- 9.6.6.1.
- 9.6.6.1.1. By Type (Value)
- 9.6.6.1.1.1. Search Advertising
- 9.6.6.1.1.2. Social Media Advertising
- 9.6.6.1.1.3. Remarketing
- 9.6.6.1.1.4. Display Advertising
- 9.6.6.1.1.5. Online Shopping
- 9.6.6.1.1.6. Others (Programmatic, Native, etc.)
- 9.6.7. Argentina
- 9.6.7.1.
- 9.6.7.1.1. By Type (Value)
- 9.6.7.1.1.1. Search Advertising
- 9.6.7.1.1.2. Social Media Advertising
- 9.6.7.1.1.3. Remarketing
- 9.6.7.1.1.4. Display Advertising
- 9.6.7.1.1.5. Online Shopping
- 9.6.7.1.1.6. Others (Programmatic, Native, etc.)
- 9.6.8. Rest of South America
- 10. Companies Analyzed (In order to estimate the market size and/or understanding the market ecosystem) (Note that the purpose of the below list is to highlight the exhaustiveness of coverage. Only top 10 players are profiled in the scope. Additionally, we are open to profile additional company(s) on specific request)
- 10.1. Alphabet Inc. (Google LLC)
- 10.2. Microsoft Corporation
- 10.3. Facebook, Inc.
- 10.4. WordStream
- 10.5. Optmyzr
- 10.6. SEMrush
- 10.7. Acquisio
- 10.8. Kenshoo, Ltd.
- 10.9. Marin Software
- 10.10. Spaceboost
- 10.11. Adzooma
- 10.12. AdStage, Inc.
- 10.13. SpyFu
- 10.14. Adalysis Limited
- 10.15. KlientBoost
- 10.16. Ignite Visibility LLC
- 10.17. Disruptive Advertising
- 10.18. Searchbloom
- 10.19. Rocket Clicks
- 10.20. Directive Consulting
- 10.21. 3 Media Web
- 10.22. JumpFly
- 10.23. PBJ Marketing
- 10.24. AdVenture Media Group
- 10.25. Hanapin Marketing
- 10.26. Loud Mouth Media
- 10.27. CPC Strategy
- 10.28. WebMechanix
- 10.29. AdHawk
- 10.30. Path Interactive
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook