USD 730 Million
Aerospace Artificial Intelligence Market Size, Share, and Growth Analysis
Aerospace Artificial Intelligence Market Size, Share & Trends Analysis Report, By Offering (Software, Hardware, Services), By Technology, By Application, By Region, And Segment Forecast, 2025-2032
Report ID:
SQMIG45E2339 |
Region:
Global |
Published Date: May, 2025
Pages:
189
|Tables:
94
|Figures:
66
Format -
Aerospace Artificial Intelligence Market Insights
Global Aerospace Artificial Intelligence Market size was valued at USD 730 Million in 2023 and is poised to grow from USD 1280 Million in 2024 to USD 22,010 Million by 2032, growing at a CAGR of 42.7% during the forecast period (2025-2032).
Growing demand for autonomous aircraft systems, high demand for predictive maintenance, rise in applications of AI in military, advancements in AI technologies, and rising emphasis on aircraft safety and efficiency enhancement are driving market development.
Autonomous systems are transforming aerospace operations. AI powers autonomous flight, navigation, and maintenance in both military drones and commercial UAVs. Military organizations globally are driving AI adoption in aerospace for enhanced surveillance, reconnaissance, combat, and logistics. Advancements in AI technologies such as Natural Language Processing (NLP) and Computer Vision are promoting the global aerospace artificial intelligence market growth. AI offers breakthrough solutions to enhance flight safety through real-time risk assessment, anomaly detection, pilot monitoring, and decision support thereby expanding business scope for aerospace AI companies.
On the contrary, data privacy and cybersecurity concerns, high costs of implementation, regulatory and certification challenges, and limited explainability and trust of AI systems are forecasted to hamper the global aerospace artificial intelligence market penetration across the study period and beyond.
How Artificial Intelligence is Influencing Aerospace Design and Manufacturing?
AI is transforming aerospace engineering by streamlining aircraft design and production processes. Machine learning models optimize aerodynamics, material selection, and component design, drastically reducing development timelines. AI-driven simulations and digital twins allow engineers to predict and correct structural flaws before physical production, saving costs and enhancing safety. Automated manufacturing lines, powered by AI, improve precision and efficiency in assembling complex aircraft parts. Companies like Airbus and Boeing increasingly use AI for generative design and supply chain optimization. This trend accelerates innovation cycles, enables customized solutions, and helps manufacturers meet the rising global demand for faster, safer, and greener aircraft.
Market snapshot - 2025-2032
Global Market Size
Largest Segment
Software
Fastest Growth
Hardware
Growth Rate
42.7% CAGR
Global Aerospace Artificial Intelligence Market ($ Bn)
Country Share for North America Region (%)
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Aerospace Artificial Intelligence Market Segments Analysis
Global aerospace artificial intelligence market is segmented by offering, technology, application and region. Based on offering, the market is segmented into software, hardware, and services. Based on technology, the market is segmented into machine learning, natural language processing, computer vision, and context awareness computing. Based on application, the market is segmented into customer service, smart maintenance, manufacturing, training, flight operations, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
Which Offering Plays a Vital Role in Aerospace Artificial Intelligence Industry Development?
The software segment is slated to account for the largest global aerospace artificial intelligence market share going forward. Increasing need for customization and frequent updates for aerospace artificial intelligence solutions is promoting continual development of aerospace artificial intelligence software, which cements the dominance of this segment. Need for advanced features and customization are also helping this segment generate new opportunities.
Meanwhile, the demand for hardware is slated to rise at a notable pace in the future. AI applications and software require immense computational power, which can only be offered through specific aerospace artificial intelligence hardware. Advancements in chip manufacturing and semiconductor technologies are boosting revenue generation via this segment.
Which Technology is Extensively Used by Aerospace Artificial Intelligence Solutions?
Machine learning segment is slated to spearhead the global aerospace artificial intelligence market revenue generation through 2032. Machine learning is essential in aerospace artificial intelligence solutions as it allows the machine to learn from its data and advance its accuracy without the need for human intervention through programming. Adoption of aerospace artificial intelligence solutions that autonomously gather and study flight data is helping this segment bolster its high share.
On the other hand, the demand for natural language processing technology is slated to rise at a robust pace in the future. Increasing emphasis on reducing the technical aspect of aerospace artificial intelligence solutions and improving human-machine interactions are promoting the use of natural language processing technologies.
Global Aerospace Artificial Intelligence Market By Offering
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Aerospace Artificial Intelligence Market Regional Insights
Why Aerospace Artificial Intelligence Companies Target North America?
North America is slated to spearhead the global aerospace artificial intelligence demand outlook across the study period. High investments in AI-driven defense systems, autonomous aircraft, predictive maintenance, and smart manufacturing by companies such as Boeing, Lockheed Martin, and Raytheon bolster the dominance of this region. NASA’s use of AI for space exploration further cements leadership.
Aerospace Artificial Intelligence Market in United States
Strong investments from defense, commercial aviation, and space sectors make the United States a leading innovator in the global aerospace artificial intelligence industry. Companies like Boeing, Lockheed Martin, and SpaceX integrate AI for autonomous navigation, predictive maintenance, and mission planning. The U.S. Department of Defense funds AI programs for UAVs, battlefield management, and cybersecurity. With superior R&D capabilities, abundant venture funding, and strong government backing, the United States dominates the aerospace artificial intelligence market regional outlook for North America.
Aerospace Artificial Intelligence Market in Canada
Active integration of artificial intelligence in pilot training, flight simulation, and maintenance helps steadily boost aerospace artificial intelligence demand in Canada. Government initiatives promoting AI research and aerospace innovation are also estimated to boost revenue generation for market players. Collaborations between universities, research centers, and private firms enhance AI development for aviation and space. Canada’s strong technological foundation and emphasis on sustainable innovation drive its market expansion.
How Will Aerospace Artificial Intelligence Demand in Asia Pacific Perform?
Asia Pacific is the fastest-growing region for aerospace AI due to expanding defense budgets, commercial aviation demand, and aggressive tech investments. Government programs promoting indigenous aviation and defense technologies also stimulate AI adoption. Growing air passenger traffic, increasing satellite launches, and the emergence of private aerospace startups accelerate Asia Pacific’s rapid ascent in the global aerospace AI landscape.
Aerospace Artificial Intelligence Market in Japan
Japan’s expertise in robotics, automation, and precision engineering makes it a highly rewarding country for aerospace artificial intelligence providers. Companies like Mitsubishi Heavy Industries and Kawasaki Heavy Industries integrate AI into manufacturing processes and autonomous aircraft systems. Japan’s space agency, JAXA, utilizes AI for satellite monitoring and space exploration missions. Japan's cultural emphasis on safety and quality drives AI adoption in predictive analytics and air traffic management. Innovation, government support, and strong industrial collaboration fuel the future of Japan’s aerospace AI market growth trajectory.
Aerospace artificial intelligence Market in South Korea
Companies like Korea Aerospace Industries (KAI) are incorporating AI into defense aviation projects, including autonomous drones and smart surveillance systems. The country’s focus on AI-driven manufacturing, predictive maintenance, and airspace monitoring aligns with its broader digital transformation goals. Smart city and urban air mobility (UAM) projects are creating new opportunities for aerospace AI companies. South Korea’s technological prowess, high-speed infrastructure, and proactive government investments are positioning it as an emerging powerhouse in aerospace AI innovation.
Should Aerospace Artificial Intelligence Providers Invest in Europe?
Presence of top aerospace companies such as Airbus, Thales, and Rolls-Royce make Europe a significant market for aerospace artificial intelligence providers. Strong government backing through programs like “Horizon Europe” promotes AI research for aviation safety, sustainability, and autonomy. The region focuses heavily on smart manufacturing, air traffic management AI, and green aviation technologies. Europe's strict safety regulations, combined with a commitment to sustainable aviation, ensure robust, steady growth and global competitiveness in aerospace artificial intelligence.
Aerospace Artificial Intelligence Market in United Kingdom
Presence of BAE Systems, Rolls-Royce, and GKN Aerospace make the United Kingdom a robust market for aerospace artificial intelligence providers. The United Kingdom government actively supports AI research through funding programs like Innovate UK and Aerospace Technology Institute (ATI) initiatives. Companies focus heavily on explainable AI (XAI) to meet strict aviation safety standards. London's tech ecosystem accelerates aerospace AI innovation, complemented by strong university-industry partnerships.
Aerospace Artificial Intelligence Market in Germany
Germany heavily invests in green aviation initiatives, where AI helps optimize fuel efficiency and emissions control. Strong collaboration between research institutions, industry, and government fosters AI innovation. Germany's strict regulatory standards demand reliable and explainable AI systems, influencing product development. With leadership in engineering excellence, sustainable aviation technologies, and Industry 4.0 integration, Germany stands as a central hub for aerospace AI advancement within Europe and globally.
Aerospace Artificial Intelligence Market in France
France prioritizes sustainability, using AI for greener aviation solutions and energy-efficient flight operations. Collaborative projects between academia and industry, such as those in Toulouse’s aerospace hub, further stimulate innovation. With strong state backing, deep aerospace expertise, and a vibrant startup ecosystem, France remains a leader in European aerospace AI development.
Global Aerospace Artificial Intelligence Market By Region
- Largest
- Fastest
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Aerospace Artificial Intelligence Market Dynamics
Aerospace Artificial Intelligence Market Drivers
Increased Focus on Predictive Maintenance
- AI-powered predictive maintenance is revolutionizing aircraft upkeep. Traditional maintenance models often result in unnecessary downtime or missed failures, costing billions. AI analyzes real-time data from sensors embedded in engines, wings, and avionics to forecast failures before they occur. This proactive approach significantly reduces maintenance costs, minimizes unscheduled repairs, and extends asset life. Hence, heavy investments in the R&D of novel predictive maintenance models are slated to bolster the global aerospace artificial intelligence market outlook.
Surge in Data Availability from Aerospace Systems
- Modern aircraft generate vast amounts of data, ranging from engine performance to environmental conditions and pilot inputs. This explosion of aerospace data creates opportunities for AI-driven insights across design, manufacturing, flight operations, and maintenance. AI systems digest complex datasets to optimize flight paths, improve fuel efficiency, detect anomalies, and enhance decision-making. Recognition of strategic value of this increased data from aerospace systems is also creating new opportunities for market players.
Aerospace Artificial Intelligence Market Restraints
Limited Explainability and Trust in AI Systems
- AI systems often lack transparency, making it difficult to understand how decisions are made, which is dubbed as the "black box" problem. In aviation, where human lives are at stake, trust in technology is critical. Pilots, engineers, regulators, and passengers need assurance that AI outputs are interpretable and reliable. Current AI models, particularly deep learning systems, struggle with explainability. Resistance from aviation professionals and regulators, who demand clear reasoning behind AI-driven actions, is slated to slow down aerospace artificial intelligence integration.
Regulatory and Certification Challenges
- Aerospace is one of the most heavily regulated industries globally. Introducing AI technologies into critical flight operations requires meeting strict safety, reliability, and ethical standards. Certification authorities such as FAA, EASA, and ICAO have yet to establish comprehensive frameworks for AI in aerospace. Lack of standardized certification processes delays time-to-market for new AI-driven solutions. Regulatory hurdles, long evaluation periods, and potential liability issues collectively restrict the pace at which AI innovations reach operational aerospace environments.
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Aerospace Artificial Intelligence Market Competitive Landscape
Aerospace artificial intelligence providers should focus on investing more in R&D to unlock the full growth potential of the industry in the long run. Creation of specific and custom Aerospace artificial intelligence for different applications offers new business scope for companies as per this global aerospace artificial intelligence market analysis.
The scope of innovation for AI in aerospace is limitless and startups are focusing on making the most of this potential around the world. Here are a few startups that could change the future of aerospace artificial intelligence solutions.
- Shield AI: Based in the United States, the company develops AI-powered autonomous systems for aerospace and defense applications. Their flagship product, the Nova drone, uses AI to autonomously map and navigate complex, GPS-denied environments, critical for military reconnaissance missions. founded in 2015, the startup has established partnerships with the U.S. Department of Defense and is focusing on building AI pilots for aircraft.
- HawkEye 360: The 2015-founded startup operates a commercial satellite constellation that uses AI to analyze radio frequency (RF) signals. Hawkeye’s AI-driven data analytics provide insights for aerospace surveillance, maritime security, and defense operations. The United States-bases startup integrates advanced machine learning models to detect, characterize, and geolocate RF activity from space, serving government and commercial clients.
Top Player’s Company Profiles
- Airbus S.A.S.
- General Electric Company
- Intel Corporation
- International Business Machines Corporation (IBM)
- Iris Automation Inc.
- Microsoft Corporation
- SITA
- Spark Cognition
- Thales Groups
- The Boeing Company
Recent Developments in Aerospace Artificial Intelligence Market
- In February 2025, GE Aerospace, a leading aerospace company part of the General Electric organization announced the launch of a new AI inspection tool to boost engine efficiency. The tool leverages artificial intelligence to conduct more precise and efficient inspections. The tool can detect potential issues before they become critical to save costs and reduce downtime.
- In April 2024, Honeywell, a renowned multinational conglomerate operating in various industry verticals announced the launch of Honeywell Forge Performance+ for Aerospace. The cloud-based platform utilizes AI and machine learning (ML) technologies to help commercial aerospace manufacturing and maintenance, repair & overhaul (MRO) facilities reduce operational costs.
Aerospace Artificial Intelligence Key Market Trends
- Growth of AI-Driven Satellite Operations and Space Missions: AI is becoming integral to satellite management, deep space missions, and planetary exploration. AI systems autonomously monitor satellite health, optimize orbital maneuvers, and detect anomalies without constant ground intervention. Machine learning models analyze vast space data, enabling quicker decision-making during critical missions. Space agencies like NASA and private players like SpaceX and Blue Origin are embedding AI in mission planning, spacecraft navigation, and interstellar communication systems.
- Emergence of AI-Enabled Air Traffic Management (ATM) Systems: Air traffic management is evolving through AI to handle increasing flight volumes safely and efficiently. AI algorithms predict traffic congestion, optimize flight paths, and automate communication between aircraft and ground control. Real-time weather data integration helps reroute flights, reducing delays and fuel consumption. This aerospace artificial intelligence market trend enhances airspace utilization, improves safety margins, and paves the way for integrating autonomous aircraft into commercial airspace in the coming decade.
Aerospace Artificial Intelligence Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, surge in data availability from aerospace systems and growing demand for predictive maintenance are slated to primarily drive the demand for aerospace artificial intelligence going forward. However, lack of explainability and trust in AI systems and regulatory challenges are expected to slow down the demand for aerospace artificial intelligence in the future. North America is forecasted to emerge as the leading market for aerospace artificial intelligence companies owing to quick adoption of smart technologies in aerospace industry and growing demand for autonomous aircraft. Use of AI-driven traffic management solutions and launch of AI-driven satellite and space missions are slated to be the key trends driving the aerospace artificial intelligence industry in the long run.
| Report Metric | Details |
|---|---|
| Market size value in 2023 | USD 730 Million |
| Market size value in 2032 | USD 22,010 Million |
| Growth Rate | 42.7% |
| Base year | 2024 |
| Forecast period | 2025-2032 |
| Forecast Unit (Value) | USD Million |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Aerospace Artificial Intelligence Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Aerospace Artificial Intelligence Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Aerospace Artificial Intelligence Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Aerospace Artificial Intelligence Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Aerospace Artificial Intelligence Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Aerospace Artificial Intelligence Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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