The NYSE U.S. Market Consumer Goods Sector Index tracks the performance of the U.S. domiciled equity components listed on the U.S. stock exchanges that offer goods and services in the consumer goods sector. Between December 2015 and June 2023, the index fluctuated but increased overall, standing at 3,209.19 index points as of June 2023.

The Dow Jones U.S. Consumer Services index is expected to experience moderate growth in the near future. Key factors driving this growth include rising consumer spending, increased disposable income, and favorable economic conditions. However, risks associated with the index include rising inflation, geopolitical uncertainty, and supply chain disruptions.

When asked about spending intentions in August, about ** percent of consumers in the United States said the intended to spend less on items such as furniture, jewelry, home decorations, and accessories over the course of the next three months. For most categories, a significant share of shoppers expected to spend about the same as they usually do.

Envestnet®| Yodlee®'s Consumer Spending Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: Analytics B2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis.

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

The Consumer Sentiment Index in the United States stood at 64.7 in January 2025, an increase from the previous month. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.

United States CSI: Savings: Stock Market Increase Probability: Next Yr: 75-99% data was reported at 32.000 % in May 2018. This records an increase from the previous number of 31.000 % for Apr 2018. United States CSI: Savings: Stock Market Increase Probability: Next Yr: 75-99% data is updated monthly, averaging 26.000 % from Jun 2002 (Median) to May 2018, with 191 observations. The data reached an all-time high of 38.000 % in Sep 2017 and a record low of 9.000 % in Mar 2009. United States CSI: Savings: Stock Market Increase Probability: Next Yr: 75-99% data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H026: Consumer Sentiment Index: Savings & Retirement. The question was: What do you think the percent change that this one thousand dollar investment will increase in value in the year ahead, so that it is worth more than one thousand dollars one year from now?

Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

Why Choose Success.ai’s Consumer Behavior Data?

1. Verified Contact Data for Precision Engagement

   • Access verified email addresses, phone numbers, and LinkedIn profiles of professionals in the consumer goods and electronics industries.
   • AI-driven validation ensures 99% accuracy, optimizing communication efficiency and minimizing data gaps.

2. Comprehensive Global Coverage

   • Includes profiles from key markets in Asia, the US, and Europe, covering regions such as China, India, Germany, and the United States.
   • Gain insights into region-specific consumer trends, product preferences, and purchasing behaviors.

3. Continuously Updated Datasets

   • Real-time updates capture career progressions, company expansions, market shifts, and consumer trend data.
   • Stay aligned with evolving market dynamics and seize emerging opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and legal compliance for all data-driven campaigns.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with industry leaders, marketers, and decision-makers in consumer goods and electronics industries worldwide.
• Consumer Trend Insights: Gain detailed insights into product preferences, purchasing patterns, and demographic influences.
• Business Locations: Access geographic data to identify regional markets, operational hubs, and emerging consumer bases.
• Professional Histories: Understand career trajectories, skills, and expertise of professionals driving innovation and strategy.

Key Features of the Dataset:

1. Decision-Maker Profiles in Consumer Goods and Electronics

   • Identify and engage with professionals responsible for product development, marketing strategy, and supply chain optimization.
   • Target individuals making decisions on consumer engagement, distribution, and market entry strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (consumer electronics, FMCG, luxury goods), geographic location, or job function.
   • Tailor campaigns to align with specific industry trends, market demands, and regional preferences.

3. Consumer Trend Data and Insights

   • Access data on regional product preferences, spending behaviors, and purchasing influences across key global markets.
   • Leverage these insights to shape product development, marketing campaigns, and customer engagement strategies.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing and Demand Generation

   • Design campaigns tailored to consumer preferences, regional trends, and target demographics in the consumer goods and electronics industries.
   • Leverage verified contact data for multi-channel outreach, including email, social media, and direct marketing.

2. Market Research and Competitive Analysis

   • Analyze global consumer trends, spending patterns, and product preferences to refine your product portfolio and market positioning.
   • Benchmark against competitors to identify gaps, emerging needs, and growth opportunities in target regions.

3. Sales and Partnership Development

   • Build relationships with key decision-makers at companies specializing in consumer goods or electronics manufacturing and distribution.
   • Present innovative solutions, supply chain partnerships, or co-marketing opportunities to grow your market share.

4. Product Development and Innovation

   • Utilize consumer trend insights to inform product design, pricing strategies, and feature prioritization.
   • Develop offerings that align with regional preferences and purchasing behaviors to maximize market impact.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...

Inflation Expectations in the United States decreased to 3 percent in June from 3.20 percent in May of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Is Consumer Spending Driving the U.S. Services Index?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

United States CSI: Savings: Stock Market Increase Probability: Next Yr: 0% data was reported at 2.000 % in May 2018. This stayed constant from the previous number of 2.000 % for Apr 2018. United States CSI: Savings: Stock Market Increase Probability: Next Yr: 0% data is updated monthly, averaging 3.000 % from Jun 2002 (Median) to May 2018, with 191 observations. The data reached an all-time high of 10.000 % in Mar 2009 and a record low of 0.000 % in Feb 2007. United States CSI: Savings: Stock Market Increase Probability: Next Yr: 0% data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H026: Consumer Sentiment Index: Savings & Retirement. The question was: What do you think the percent change that this one thousand dollar investment will increase in value in the year ahead, so that it is worth more than one thousand dollars one year from now?

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

The Dow Jones U.S. Completion Total Stock Market Index

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Market Research companies have benefited from research and development (R&D) expenditure growth as companies develop new products to satisfy consumer demand. Downstream companies continue to rely on market research to create new products and campaigns that fit ever-changing consumer preferences. As companies strive to enhance consumer-centric strategies amid increased consumer spending, demand for tailored market research solutions has surged. High corporate profit levels have enabled businesses to invest in research and development. The digital shift has further transformed the landscape, with companies pioneering new research tools to tap into the vast potential of big data to enhance accessibility and participation. These trends have led to revenue growing at a CAGR of 3.9% to $36.6 billion over the next five years, including a 2.4% gain in 2025 alone. Consumers' and advertisers' growing reliance on the internet has led to new metrics market researchers can use to better understand consumers. These have allowed new companies to enter the industry and driven providers to adjust services and implement new technologies. The rising use of social media has also contributed to the growing demand for market research. These technological advancements improved data collection and analysis methods, offering actionable insights that helped companies refine marketing strategies and develop better products. New opportunities continue to drive revenue growth, but expansions to services and onboarding of new technology have cut into industry profit. Companies will strengthen their R&D budgets as economic conditions improve, further driving demand for advanced market research tools. The proliferation of online commerce and smart technologies will give researchers unprecedented access to consumer data. Technological developments, such as artificial intelligence (AI), are poised to create new metrics based on human reactions, which companies can leverage to better understand consumer behavior and preferences. These new technologies will develop new market research opportunities. Access to these metrics, however, will lead to tightening data privacy regulations. There's a growing emphasis on ethical practices, transparency and data security. This will shape consumer trust and industry standards, creating new opportunities and challenges in a rapidly evolving marketplace. Revenue is poised to grow at a CAGR of 2.2% to $40.9 billion through the end of 2030.

This statistic shows the different types of stationary stores where Americans did their shopping in the past 12 months in 2024. The results were sorted by income tier. As of March 2024, 52 percent of respondents who stated their income was high said they had shopped at a pharmacy store in the last 12 months. The survey was conducted among 8,217 respondents. Access millions of exclusive survey results with Statista Consumer Insights.

Graph and download economic data for FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Median (JCXFEMD) from 2025 to 2027 about core, projection, PCE, consumption expenditures, consumption, personal, median, inflation, rate, and USA.

Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Telemarketing and call centers have navigated a dynamic economic landscape in recent years, grappling with challenges and opportunities alike. The initial impact of the pandemic at the onset of the period led to a temporary dip in demand as businesses curbed outsourcing due to reduced consumer spending and corporate profit. However, quick transitions to remote operations and an improving economic landscape in the latter part of the period increased demand for the industry, specifically from the healthcare sector. There was an increase in demand for the industry’s services as consumers returned to traditional shopping and corporate profit soared, spurred by expansionary fiscal and monetary policies. This uptick, however, was only one side of the coin. Increasing inflationary pressures in 2022, driven by a massive jump in demand, forced businesses to tighten budgets, reducing spending on telemarketing and call center services. This caused revenue to drop significantly, with further challenges posed by rising interest rates and offshoring trends. The growing use of AI and automation spurred an influx of new entrants as smaller players were better able to compete with larger and established players, raising internal competition. While technological advancements like IVR and speech analytics have reduced costs and improved efficiency, the competition from global markets, particularly emerging economies, has diluted some of the industry's growth potential. Overall, revenue for telemarketing and call centers has inched downward at a CAGR of 0.1% to $28.1 billion over the past five years, including an expected increase of 3.6% in 2025 alone. Industry profit has climbed and will account for 13.4% of revenue in the current year. Looking ahead, providers are anticipated to benefit from stable economic growth and the continued expansion of online activities. Cooling inflation and reduced interest rates are expected to boost consumer spending and corporate investment, bolstering demand for telemarketing and call center services. Technological advancements will further enhance operational efficiency, although high wage costs will continue to challenge profit. The ongoing migration towards e-commerce will necessitate greater investment in call centers as companies look to better serve online customers. Despite the inherent challenges, the industry's capacity to leverage technological innovations and explore new geographical markets provides a promising outlook. Overall, revenue for telemarketing and call centers is forecast to expand at a CAGR of 3.7% to $33.6 billion over the five years to 2030.

The volume is forecast to experience significant growth in all segments in 2030. As part of the positive trend, the volume reaches the maximum value for all ten different segments at the end of the comparison period. Particularly noteworthy is the segment Dairy Products & Eggs, which has the highest value of ***** billion kilograms. Find further statistics on other topics such as a comparison of the volume in Germany and a comparison of the volume in Russia. The Statista Market Insights cover a broad range of additional markets.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

JPMorgan American Investment Trust (JAM): Questioning the Future

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The US e-commerce market, a significant segment of the global landscape, exhibits robust growth, driven by increasing internet penetration, smartphone adoption, and a shift in consumer preferences towards online shopping convenience. The market's Compound Annual Growth Rate (CAGR) of 14.70% suggests a substantial expansion, with a projected market value significantly exceeding its 2025 valuation within the forecast period (2025-2033). Key drivers include the rise of mobile commerce, the expansion of logistics and delivery infrastructure, and the increasing adoption of digital payment methods. Furthermore, the diversification of e-commerce offerings across various segments like beauty & personal care, consumer electronics, fashion & apparel, and food & beverage fuels this growth. The presence of major players like Amazon, Walmart, and Target underscores the market's competitiveness and maturity. However, challenges such as cybersecurity concerns, rising logistics costs, and the need for effective customer service strategies remain. The market segmentation reveals significant opportunities within specific categories; for instance, the beauty & personal care sector is expected to witness strong growth due to increasing demand for convenient online purchasing and personalized experiences. The US e-commerce market is geographically concentrated, with North America holding a substantial market share. However, regional variations exist, influenced by factors like consumer spending habits, digital infrastructure, and regulatory frameworks. Growth in regions beyond the core North American market will likely contribute significantly to the overall CAGR. The B2B e-commerce segment is also experiencing substantial growth, driven by businesses seeking streamlined procurement processes and improved supply chain efficiency. While precise figures for specific segments and regions are unavailable from the given information, it's evident that the overall market trajectory is positive, with promising prospects for both established and emerging players across diverse product categories. The future success within this dynamic landscape will depend on factors such as adapting to evolving consumer expectations, leveraging innovative technologies, and effectively navigating the complexities of the digital marketplace. Comprehensive Coverage USA Ecommerce Market Report (2019-2033) This in-depth report provides a comprehensive analysis of the USA ecommerce market, covering the period from 2019 to 2033. With a focus on the B2C ecommerce market size (GMV) and B2B ecommerce market size, this study delves into key market segments like Beauty & Personal Care, Consumer Electronics, Fashion & Apparel, Food & Beverage, Furniture & Home, and Others (Toys, DIY, Media, etc.). We analyze market trends, growth drivers, challenges, and emerging opportunities, providing valuable insights for businesses operating in or planning to enter this dynamic market. The report uses 2025 as the base year and forecasts the market's trajectory until 2033, incorporating data from the historical period (2019-2024). Recent developments include: May 2022- Home Depot announced the formation of Home Depot Ventures, a venture capital fund to promote early-stage startups that improve customer experience and home renovation. Furthermore, the $150 million funds will evaluate investments in businesses at various stages of development, emphasizing early and growth-stage startups that assist Home Depot customers and can scale., April 2022- In the United States, Apple finally offers the tools and accessories needed for self-servicing select iPhones. The company is now selling parts and components for the iPhone 12 series, iPhone 13 series, and the newly released 3rd Generation iPhone SE 2022 smartphones., April 2022- Amazon announced on Wednesday that it will build a solar park in Kent County as one of 37 new renewable energy projects worldwide to use renewable energy to power all of its activities by 2025, five years ahead of schedule., April 2022- Walmart honored Igloo's ancient legacy and commitment to "Made in the USA" with elected officials and prominent executives from both companies in attendance. In honor of this praise, Igloo designed the new Overland Series of coolers exclusively for Walmart, made in the United States., March 2022- Walmart Inc plans to hire more than 5,000 new associates for its tech hubs worldwide during the current fiscal year. Walmart Global Tech, the company's technology division, would be hiring for positions such as cybersecurity professional, product manager, and data scientist., June 2020- Apple's announcements and developments enhance the Apple platform and product experience. From macOS Big Sur, which boasts the most significant design overhaul since the launch of Mac OS X, to watchOS 7, iOS 14's new App Library, and iPadOS 14's expanded handwriting capabilities with Apple Pencil.. Key drivers for this market are: Growing Demand from Apparel and Footwear Industry., Rising Adoption of technologies (IOT,ML); Penetration of Internet and Smartphone Usage. Potential restraints include: Operational Compatibility Due to Growing Brand Value. Notable trends are: Increasing adoption of technologies.

Graph and download economic data for Longer Run FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Central Tendency, High (PCECTPICTHLR) from 2009-02-18 to 2025-06-18 about projection, PCE, consumption expenditures, consumption, personal, inflation, rate, and USA.